var bibbase_data = {"data":"\"Loading..\"\n\n
\n\n \n\n \n\n \n \n\n \n\n \n \n\n \n\n \n
\n generated by\n \n \"bibbase.org\"\n\n \n
\n \n\n
\n\n \n\n\n
\n\n Excellent! Next you can\n create a new website with this list, or\n embed it in an existing web page by copying & pasting\n any of the following snippets.\n\n
\n JavaScript\n (easiest)\n
\n \n <script src=\"https://bibbase.org/service/mendeley/05910fc8-b090-3c8e-ac9c-584445e4b049?jsonp=1&jsonp=1\"></script>\n \n
\n\n PHP\n
\n \n <?php\n $contents = file_get_contents(\"https://bibbase.org/service/mendeley/05910fc8-b090-3c8e-ac9c-584445e4b049?jsonp=1\");\n print_r($contents);\n ?>\n \n
\n\n iFrame\n (not recommended)\n
\n \n <iframe src=\"https://bibbase.org/service/mendeley/05910fc8-b090-3c8e-ac9c-584445e4b049?jsonp=1\"></iframe>\n \n
\n\n

\n For more details see the documention.\n

\n
\n
\n\n
\n\n This is a preview! To use this list on your own web site\n or create a new web site from it,\n create a free account. The file will be added\n and you will be able to edit it in the File Manager.\n We will show you instructions once you've created your account.\n
\n\n
\n\n

To the site owner:

\n\n

Action required! Mendeley is changing its\n API. In order to keep using Mendeley with BibBase past April\n 14th, you need to:\n

    \n
  1. renew the authorization for BibBase on Mendeley, and
  2. \n
  3. update the BibBase URL\n in your page the same way you did when you initially set up\n this page.\n
  4. \n
\n

\n\n

\n \n \n Fix it now\n

\n
\n\n
\n\n\n
\n \n \n
\n
\n  \n 2021\n \n \n (8)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards.\n \n \n \n\n\n \n Marsh-Hunn, D.; Trilles, S.; González-Pérez, A.; Torres-Sospedra, J.; and Ramos, F.\n\n\n \n\n\n\n IEEE Sensors Journal, 21(4). 2021.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {A Comparative Study in the Standardization of IoT Devices Using Geospatial Web Standards},\n type = {article},\n year = {2021},\n keywords = {journal},\n volume = {21},\n id = {431c0468-da10-3fbb-a5d3-41005d2f922b},\n created = {2021-02-08T23:59:00.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:35.036Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Marsh-Hunn2021},\n private_publication = {true},\n abstract = {© 2001-2012 IEEE. Although billions of devices are embedded in the World Wide Web through the Internet of Things, there is still a lack of a common, interoperable way to connect them and make them interact seamlessly. IoT has also found its way into the spatial web. Environmental monitoring and sensing platforms connected over the web by wireless sensor networks are now a common way to monitor natural phenomena. This study compares two open Web Standards (OGC's Sensor Observation Service and SensorThings API) from the geospatial point of view. An IoT platform, called SEnviro, is used to integrate and evaluate implementations for each standard and contrast their qualitative and quantitative traits. The results of the study show that the SensorThings API proves to be the adequate Web Standard for IoT applications in terms of interoperability. It outperforms the contesting Web Standard in terms of flexibility and scalability, which strongly impacts on developer and user experience.},\n bibtype = {article},\n author = {Marsh-Hunn, D. and Trilles, S. and González-Pérez, A. and Torres-Sospedra, J. and Ramos, F.},\n doi = {10.1109/JSEN.2020.3031315},\n journal = {IEEE Sensors Journal},\n number = {4}\n}
\n
\n\n\n
\n © 2001-2012 IEEE. Although billions of devices are embedded in the World Wide Web through the Internet of Things, there is still a lack of a common, interoperable way to connect them and make them interact seamlessly. IoT has also found its way into the spatial web. Environmental monitoring and sensing platforms connected over the web by wireless sensor networks are now a common way to monitor natural phenomena. This study compares two open Web Standards (OGC's Sensor Observation Service and SensorThings API) from the geospatial point of view. An IoT platform, called SEnviro, is used to integrate and evaluate implementations for each standard and contrast their qualitative and quantitative traits. The results of the study show that the SensorThings API proves to be the adequate Web Standard for IoT applications in terms of interoperability. It outperforms the contesting Web Standard in terms of flexibility and scalability, which strongly impacts on developer and user experience.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Features Exploration from Datasets Vision in Air Quality Prediction Domain.\n \n \n \n\n\n \n Iskandaryan, D.; Ramos, F.; and Trilles, S.\n\n\n \n\n\n\n Atmosphere, 12(3): 312. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Features Exploration from Datasets Vision in Air Quality Prediction Domain},\n type = {article},\n year = {2021},\n pages = {312},\n volume = {12},\n publisher = {Multidisciplinary Digital Publishing Institute},\n id = {a061ddd2-67d2-3567-9bed-81c56ddbe7d3},\n created = {2022-01-11T07:59:37.777Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:33.994Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {iskandaryan2021features},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Iskandaryan, Ditsuhi and Ramos, Francisco and Trilles, Sergio},\n journal = {Atmosphere},\n number = {3},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Data on CO2, temperature and air humidity records in Spanish classrooms during the reopening of schools in the COVID-19 pandemic.\n \n \n \n \n\n\n \n Trilles, S.; Juan, P.; Chaudhuri, S.; and Fortea, A., B., V.\n\n\n \n\n\n\n Data in Brief, 39: 107489. 2021.\n \n\n\n\n
\n\n\n\n \n \n \"DataWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Data on CO2, temperature and air humidity records in Spanish classrooms during the reopening of schools in the COVID-19 pandemic},\n type = {article},\n year = {2021},\n keywords = {journal},\n pages = {107489},\n volume = {39},\n websites = {https://www.sciencedirect.com/science/article/pii/S2352340921007708},\n id = {c47c2a21-7a59-3ae6-b6cf-649e5f5a6de5},\n created = {2022-01-11T07:59:37.784Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.016Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {TRILLES2021107489},\n source_type = {article},\n private_publication = {false},\n abstract = {In order to reduce the advance of the pandemic produced by COVID-19, many actions and restrictions have been applied and the field of education has been no exception. In Spain, during the academic year 2020–2021, face-to-face teaching generally continued in both primary and secondary schools. Throughout the year, different measures have been taken to reduce the likelihood of contagion in classrooms, one of which was to improve ventilation by opening windows and doors. One of the most commonly used techniques to check for good ventilation has been CO2 monitoring. This work provides a set of 80,000 CO2 concentration records collected by low-cost Internet of Things nodes, primarily located within twelve classrooms in two primary schools. The published observations were collected between 1 May 2020 and 23 June 2021. Additionally, the same dataset includes temperature, air humidity and battery level observations.},\n bibtype = {article},\n author = {Trilles, Sergio and Juan, Pablo and Chaudhuri, Somnath and Fortea, Ana Belen Vicente},\n doi = {https://doi.org/10.1016/j.dib.2021.107489},\n journal = {Data in Brief}\n}
\n
\n\n\n
\n In order to reduce the advance of the pandemic produced by COVID-19, many actions and restrictions have been applied and the field of education has been no exception. In Spain, during the academic year 2020–2021, face-to-face teaching generally continued in both primary and secondary schools. Throughout the year, different measures have been taken to reduce the likelihood of contagion in classrooms, one of which was to improve ventilation by opening windows and doors. One of the most commonly used techniques to check for good ventilation has been CO2 monitoring. This work provides a set of 80,000 CO2 concentration records collected by low-cost Internet of Things nodes, primarily located within twelve classrooms in two primary schools. The published observations were collected between 1 May 2020 and 23 June 2021. Additionally, the same dataset includes temperature, air humidity and battery level observations.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Passive Mobile Data for Studying Seasonal Tourism Mobilities: An Application in a Mediterranean Coastal Destination.\n \n \n \n\n\n \n Zaragozí, B.; Trilles, S.; and Gutiérrez, A.\n\n\n \n\n\n\n ISPRS International Journal of Geo-Information, 10(2): 98. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Passive Mobile Data for Studying Seasonal Tourism Mobilities: An Application in a Mediterranean Coastal Destination},\n type = {article},\n year = {2021},\n pages = {98},\n volume = {10},\n publisher = {Multidisciplinary Digital Publishing Institute},\n id = {217095e8-3d33-3630-9fff-35485eb077ce},\n created = {2022-01-11T07:59:37.846Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2023-01-15T14:19:35.574Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {zaragozi2021passive},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Zaragozí, Benito and Trilles, Sergio and Gutiérrez, Aaron},\n journal = {ISPRS International Journal of Geo-Information},\n number = {2},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Enabling Geospatial Context in an IoT Decentralised Reputation Management System using Ethereum Smart Contracts.\n \n \n \n\n\n \n Weerapanpisit, P.; Trilles, S.; Huerta, J.; and Painho, M.\n\n\n \n\n\n\n In 2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS), pages 1-6, 2021. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Enabling Geospatial Context in an IoT Decentralised Reputation Management System using Ethereum Smart Contracts},\n type = {inproceedings},\n year = {2021},\n pages = {1-6},\n id = {8caeee16-b454-3e22-b4f9-77569b0cd72d},\n created = {2022-01-11T07:59:37.931Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.009Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {9524217},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Weerapanpisit, Ponlawat and Trilles, Sergio and Huerta, Joaquín and Painho, Marco},\n doi = {10.1109/COINS51742.2021.9524217},\n booktitle = {2021 IEEE International Conference on Omni-Layer Intelligent Systems (COINS)},\n keywords = {conference}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Development of a Common Framework for Analysing Public Transport Smart Card Data.\n \n \n \n\n\n \n Zaragozí, B.; Trilles, S.; Gutiérrez, A.; and Miravet, D.\n\n\n \n\n\n\n Energies, 14(19): 6083. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Development of a Common Framework for Analysing Public Transport Smart Card Data},\n type = {article},\n year = {2021},\n pages = {6083},\n volume = {14},\n publisher = {Multidisciplinary Digital Publishing Institute},\n id = {0c837170-2228-37b4-997e-97782e35998a},\n created = {2022-01-11T07:59:37.946Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2023-01-15T14:18:13.790Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {zaragozi2021development},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Zaragozí, Benito and Trilles, Sergio and Gutiérrez, Aaron and Miravet, Daniel},\n journal = {Energies},\n number = {19},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models.\n \n \n \n\n\n \n Sánchez-Pozo, N., N.; Trilles-Oliver, S.; Solé-Ribalta, A.; Lorente-Leyva, L., L.; Mayorca-Torres, D.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n In International Conference on Hybrid Artificial Intelligence Systems, pages 293-304, 2021. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n  \n \n 1 download\n \n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Algorithms Air Quality Estimation: A Comparative Study of Stochastic and Heuristic Predictive Models},\n type = {inproceedings},\n year = {2021},\n pages = {293-304},\n institution = {Springer},\n id = {e9567b5d-5908-3da6-8984-5c3bb37a84b0},\n created = {2022-01-11T07:59:37.975Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.034Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {sanchez2021algorithms},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Sánchez-Pozo, Nadia N and Trilles-Oliver, Sergi and Solé-Ribalta, Albert and Lorente-Leyva, Leandro L and Mayorca-Torres, Dagoberto and Peluffo-Ordóñez, Diego H},\n booktitle = {International Conference on Hybrid Artificial Intelligence Systems},\n keywords = {conference}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n D2D-based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey.\n \n \n \n\n\n \n Chukhno, N.; Trilles, S.; Torres-Sospedra, J.; Iera, A.; and Araniti, G.\n\n\n \n\n\n\n IEEE Sensors Journal,1. 2021.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {D2D-based Cooperative Positioning Paradigm for Future Wireless Systems: A Survey},\n type = {article},\n year = {2021},\n pages = {1},\n id = {13879502-152d-3e0e-982e-6fedde0eb327},\n created = {2022-01-11T07:59:38.232Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.169Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {9481267},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Chukhno, Nadezhda and Trilles, Sergio and Torres-Sospedra, Joaquín and Iera, Antonio and Araniti, Giuseppe},\n doi = {10.1109/JSEN.2021.3096730},\n journal = {IEEE Sensors Journal},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2020\n \n \n (18)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Tell me how my open Data is re-used: increasing transparency through the Open City Toolkit.\n \n \n \n\n\n \n Degbelo, A.; Granell, C.; Trilles, S.; Bhattacharya, D.; and Wissing, J.\n\n\n \n\n\n\n Open Cities| Open Data, pages 311-330. Palgrave Macmillan, Singapore, 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2020},\n pages = {311-330},\n publisher = {Palgrave Macmillan, Singapore},\n id = {7083c5cb-9514-3b0b-8869-5b8f1c33357e},\n created = {2020-01-27T23:53:26.233Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:46.097Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {degbelo2020tell},\n source_type = {incollection},\n private_publication = {false},\n bibtype = {inbook},\n author = {Degbelo, Auriol and Granell, Carlos and Trilles, Sergio and Bhattacharya, Devanjan and Wissing, Jonas},\n chapter = {Tell me how my open Data is re-used: increasing transparency through the Open City Toolkit},\n title = {Open Cities| Open Data},\n keywords = {chapter}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Internet of Things.\n \n \n \n\n\n \n Granell, C.; Kamilaris, A.; Kotsev, A.; Ostermann, F., O.; and Trilles, S.\n\n\n \n\n\n\n Manual of Digital Earth, pages 387-423. Springer, Singapore, 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2020},\n pages = {387-423},\n publisher = {Springer, Singapore},\n id = {7a5b16b2-6f7e-34f8-82f4-f2a8321c0901},\n created = {2020-01-27T23:53:26.308Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:45.996Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {granell2020internet},\n source_type = {incollection},\n private_publication = {false},\n bibtype = {inbook},\n author = {Granell, Carlos and Kamilaris, Andreas and Kotsev, Alexander and Ostermann, Frank O and Trilles, Sergio},\n chapter = {Internet of Things},\n title = {Manual of Digital Earth},\n keywords = {chapter}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review.\n \n \n \n\n\n \n Iskandaryan, D.; Ramos, F.; and Trilles, S.\n\n\n \n\n\n\n Applied Sciences, 10(7): 2401. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Air Quality Prediction in Smart Cities Using Machine Learning Technologies Based on Sensor Data: A Review},\n type = {article},\n year = {2020},\n pages = {2401},\n volume = {10},\n publisher = {Multidisciplinary Digital Publishing Institute},\n id = {9ba17f4e-a122-3ce3-a26c-35db52eb7c44},\n created = {2020-06-09T16:19:44.879Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:44.879Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {iskandaryan2020air},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Iskandaryan, Ditsuhi and Ramos, Francisco and Trilles, Sergio},\n journal = {Applied Sciences},\n number = {7},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Towards an Affordable GIS for Analysing Public Transport Mobility Data: A Preliminary File Naming Convention for Avoiding Duplication of Efforts.\n \n \n \n\n\n \n Zaragozí., B.; Gutiérrez., A.; and Trilles, S.\n\n\n \n\n\n\n In Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,, pages 302-309, 2020. SciTePress\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Towards an Affordable GIS for Analysing Public Transport Mobility Data: A Preliminary File Naming Convention for Avoiding Duplication of Efforts},\n type = {inproceedings},\n year = {2020},\n pages = {302-309},\n publisher = {SciTePress},\n institution = {INSTICC},\n id = {8c3e2546-d830-331c-a6c7-af95096a8012},\n created = {2020-06-09T16:19:44.937Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:44.937Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {gistam20},\n source_type = {conference},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Zaragozí., Benito and Gutiérrez., Aaron and Trilles, Sergio},\n doi = {10.5220/0009766303020309},\n booktitle = {Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},\n keywords = {conference}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Interactive guidelines: Public communication of data-based research in cities.\n \n \n \n\n\n \n Trilles, S.; Granell, C.; Degbelo, A.; and Bhattacharya, D.\n\n\n \n\n\n\n Plos one, 15(1): e0228008. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Interactive guidelines: Public communication of data-based research in cities},\n type = {article},\n year = {2020},\n pages = {e0228008},\n volume = {15},\n publisher = {Public Library of Science San Francisco, CA USA},\n id = {419defb2-a2e1-3195-9c1e-5482b7932b01},\n created = {2020-06-09T16:19:45.033Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:45.033Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2020interactive},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Trilles, Sergio and Granell, Carlos and Degbelo, Auriol and Bhattacharya, Devanjan},\n journal = {Plos one},\n number = {1},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes.\n \n \n \n\n\n \n Trilles, S.; González-Pérez, A.; and Huerta, J.\n\n\n \n\n\n\n Sensors, 20(8): 2418. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes},\n type = {article},\n year = {2020},\n pages = {2418},\n volume = {20},\n publisher = {Multidisciplinary Digital Publishing Institute},\n id = {1cd58aad-953b-3929-91f4-69d7deb2577a},\n created = {2020-06-09T16:19:45.035Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:45.035Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2020iot},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Trilles, Sergio and González-Pérez, Alberto and Huerta, Joaqu\\'\\in},\n journal = {Sensors},\n number = {8},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Improving the Usability of the Land Cover and Use Information System of Spain (SIOSE): A Proposal to Distribute New Thematic Layers and Predefined Reclassifications.\n \n \n \n\n\n \n Zaragozí., B.; Navarro-Carrión., J., T.; Rodríguez-Sala., J., J.; Trilles, S.; and Ramón-Morte., A.\n\n\n \n\n\n\n In Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,, pages 294-301, 2020. SciTePress\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Improving the Usability of the Land Cover and Use Information System of Spain (SIOSE): A Proposal to Distribute New Thematic Layers and Predefined Reclassifications},\n type = {inproceedings},\n year = {2020},\n pages = {294-301},\n publisher = {SciTePress},\n institution = {INSTICC},\n id = {014d7d67-12ca-3fe6-b3d1-3df465acd1eb},\n created = {2020-06-09T16:19:45.073Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:45.073Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {gistam20},\n source_type = {conference},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Zaragozí., Benito and Navarro-Carrión., José Tomàs and Rodríguez-Sala., Jesús Javier and Trilles, Sergio and Ramón-Morte., Alfredo},\n doi = {10.5220/0009579502940301},\n booktitle = {Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},\n keywords = {conference}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research.\n \n \n \n\n\n \n Zaragozí, B., M.; Trilles, S.; and Navarro-Carrión, J., T.\n\n\n \n\n\n\n ISPRS International Journal of Geo-Information, 9(3): 138. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Leveraging Container Technologies in a GIScience Project: A Perspective from Open Reproducible Research},\n type = {article},\n year = {2020},\n pages = {138},\n volume = {9},\n publisher = {Multidisciplinary Digital Publishing Institute},\n id = {167973ab-bd4e-3a3d-80d0-5a3fd682621d},\n created = {2020-06-09T16:19:45.114Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2023-01-15T14:19:00.388Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {zaragozi2020leveraging},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Zaragozí, Benito M and Trilles, Sergio and Navarro-Carrión, José T},\n journal = {ISPRS International Journal of Geo-Information},\n number = {3},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n A geotagged image dataset with compass directions for studying the drivers of farmland abandonment.\n \n \n \n\n\n \n Zaragozí, B.; Trilles, S.; Carrion, D.; and Pérez-Albert, M.\n\n\n \n\n\n\n Data in Brief, 33. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {A geotagged image dataset with compass directions for studying the drivers of farmland abandonment},\n type = {article},\n year = {2020},\n keywords = {journal},\n volume = {33},\n id = {1df80c28-9ad1-301f-8045-7091a3ded18d},\n created = {2020-10-09T23:59:00.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:33.794Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Zaragozi2020},\n private_publication = {true},\n abstract = {© 2020 The Authors In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass sensor. The photographs were taken as part of a GIS database. Using their Exif metadata, we created a layer of geographic fields of view (geoFOVs) that can be used to perform specific spatial queries. The dataset contains 2,235 pictures and GIS layers of geoFOVs contextualising the agricultural plots being photographed. The dataset is hosted in a Zenodo dataset repository.},\n bibtype = {article},\n author = {Zaragozí, B. and Trilles, S. and Carrion, D. and Pérez-Albert, M.Y.},\n doi = {10.1016/j.dib.2020.106340},\n journal = {Data in Brief}\n}
\n
\n\n\n
\n © 2020 The Authors In this work, we present a dataset containing a collection of pictures taken during the fieldwork of a farmland abandonment study. Data was taken in 2010 with a compact camera that incorporates GPS and a digital compass sensor. The photographs were taken as part of a GIS database. Using their Exif metadata, we created a layer of geographic fields of view (geoFOVs) that can be used to perform specific spatial queries. The dataset contains 2,235 pictures and GIS layers of geoFOVs contextualising the agricultural plots being photographed. The dataset is hosted in a Zenodo dataset repository.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Erratum: New trends in using augmented reality apps for smart city contexts (ISPRS International Journal of Geo-Information (2018) 7 (478) DOI: 10.3390/ijgi7120478).\n \n \n \n\n\n \n Yagol, P.; Ramos, F.; Trilles, S.; Torres-Sospedra, J.; and Perales, F.\n\n\n \n\n\n\n ISPRS International Journal of Geo-Information, 9(9). 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Erratum: New trends in using augmented reality apps for smart city contexts (ISPRS International Journal of Geo-Information (2018) 7 (478) DOI: 10.3390/ijgi7120478)},\n type = {article},\n year = {2020},\n volume = {9},\n id = {343ca9e3-6553-3979-8915-eb9877088ad0},\n created = {2020-10-22T23:59:00.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.937Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Yagol2020},\n private_publication = {true},\n abstract = {© 2020 MDPI AG. All rights reserved. The authors wish to make the following corrections to their paper [1]. 1. The authors wish to replace: Francisco Ramos 1, Sergio Trilles 1, Joaquín Torres-Sospedra 1 and Francisco J. Perales 2 1 Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, 12071 Castellón de la Plana, Spain 2 Mathematics and Computer Science Department, Universitat de les Illes Balears, Ctra. de Valldemossa km 7.5, 07122 Palma de Mallorca, Spain With Pravesh Yagol 1, Francisco Ramos 1, Sergio Trilles 1, Joaquín Torres-Sospedra 1 and Francisco J. Perales 2 1 Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, 12071 Castellón de la Plana, Spain 2 Mathematics and Computer Science Department, Universitat de les Illes Balears, Ctra. de Valldemossa km 7.5, 07122 Palma de Mallorca, Spain 2. The authors also wish to replace: Author Contributions: Conceptualization, F.R.; Methodology, J.T.-S. and S.T.; Software, J.T.-S.; Supervision, F.R.; Writing—original draft, J.T.-S. and S.T.;Writing—review & editing, F.J.P. and F.R. With Author Contributions: Conceptualization: Francisco Ramos; Methodology, Joaquín Torres-Sospedra and Sergio Trilles; Software, Joaquín Torres-Sospedra and Pravesh Yagol; Supervision, Francisco Ramos; Writing—original draft, Pravesh Yagol, Joaquín Torres-Sospedra and Sergio Trilles; Writing—review and editing, Francisco J. Perales and Francisco Ramos. The authors would like to apologize for any inconvenience caused to the readers by these changes.},\n bibtype = {article},\n author = {Yagol, P. and Ramos, F. and Trilles, S. and Torres-Sospedra, J. and Perales, F.J.},\n doi = {10.3390/ijgi9090537},\n journal = {ISPRS International Journal of Geo-Information},\n number = {9},\n keywords = {journal}\n}
\n
\n\n\n
\n © 2020 MDPI AG. All rights reserved. The authors wish to make the following corrections to their paper [1]. 1. The authors wish to replace: Francisco Ramos 1, Sergio Trilles 1, Joaquín Torres-Sospedra 1 and Francisco J. Perales 2 1 Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, 12071 Castellón de la Plana, Spain 2 Mathematics and Computer Science Department, Universitat de les Illes Balears, Ctra. de Valldemossa km 7.5, 07122 Palma de Mallorca, Spain With Pravesh Yagol 1, Francisco Ramos 1, Sergio Trilles 1, Joaquín Torres-Sospedra 1 and Francisco J. Perales 2 1 Institute of New Imaging Technologies, Universitat Jaume I, Av. Vicente Sos Baynat s/n, 12071 Castellón de la Plana, Spain 2 Mathematics and Computer Science Department, Universitat de les Illes Balears, Ctra. de Valldemossa km 7.5, 07122 Palma de Mallorca, Spain 2. The authors also wish to replace: Author Contributions: Conceptualization, F.R.; Methodology, J.T.-S. and S.T.; Software, J.T.-S.; Supervision, F.R.; Writing—original draft, J.T.-S. and S.T.;Writing—review & editing, F.J.P. and F.R. With Author Contributions: Conceptualization: Francisco Ramos; Methodology, Joaquín Torres-Sospedra and Sergio Trilles; Software, Joaquín Torres-Sospedra and Pravesh Yagol; Supervision, Francisco Ramos; Writing—original draft, Pravesh Yagol, Joaquín Torres-Sospedra and Sergio Trilles; Writing—review and editing, Francisco J. Perales and Francisco Ramos. The authors would like to apologize for any inconvenience caused to the readers by these changes.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n The effect of weather in soccer results: An approach using machine learning techniques.\n \n \n \n\n\n \n Iskandaryan, D.; Ramos, F.; Palinggi, D.; and Trilles, S.\n\n\n \n\n\n\n Applied Sciences (Switzerland), 10(19). 2020.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {The effect of weather in soccer results: An approach using machine learning techniques},\n type = {article},\n year = {2020},\n keywords = {journal},\n volume = {10},\n id = {eebb7cf4-ba1b-36d5-aedf-4d43f08555dd},\n created = {2020-10-24T23:59:00.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.943Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Iskandaryan2020},\n private_publication = {true},\n abstract = {© 2020 by the authors. Licensee MDPI, Basel, Switzerland. The growing popularity of soccer has led to the prediction of match results becoming of interest to the research community. The aim of this research is to detect the effects of weather on the result of matches by implementing Random Forest, Support Vector Machine, K-Nearest Neighbors Algorithm, and Extremely Randomized Trees Classifier. The analysis was executed using the Spanish La Liga and Segunda division from the seasons 2013–2014 to 2017–2018 in combination with weather data. Two tasks were proposed as part of this study: the first was to find out whether the game will end in a draw, a win by the hosts or a victory by the guests, and the second was to determine whether the match will end in a draw or if one of the teams will win. The results show that, for the first task, Extremely Randomized Trees Classifier is a better method, with an accuracy of 65.9%, and, for the second task, Support Vector Machine yielded better results with an accuracy of 79.3%. Moreover, it is possible to predict whether the game will end in a draw or not with 0.85 AUC-ROC. Additionally, for comparative purposes, the analysis was also performed without weather data.},\n bibtype = {article},\n author = {Iskandaryan, D. and Ramos, F. and Palinggi, D.A. and Trilles, S.},\n doi = {10.3390/app10196750},\n journal = {Applied Sciences (Switzerland)},\n number = {19}\n}
\n
\n\n\n
\n © 2020 by the authors. Licensee MDPI, Basel, Switzerland. The growing popularity of soccer has led to the prediction of match results becoming of interest to the research community. The aim of this research is to detect the effects of weather on the result of matches by implementing Random Forest, Support Vector Machine, K-Nearest Neighbors Algorithm, and Extremely Randomized Trees Classifier. The analysis was executed using the Spanish La Liga and Segunda division from the seasons 2013–2014 to 2017–2018 in combination with weather data. Two tasks were proposed as part of this study: the first was to find out whether the game will end in a draw, a win by the hosts or a victory by the guests, and the second was to determine whether the match will end in a draw or if one of the teams will win. The results show that, for the first task, Extremely Randomized Trees Classifier is a better method, with an accuracy of 65.9%, and, for the second task, Support Vector Machine yielded better results with an accuracy of 79.3%. Moreover, it is possible to predict whether the game will end in a draw or not with 0.85 AUC-ROC. Additionally, for comparative purposes, the analysis was also performed without weather data.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n La evolución del proyecto Sucre4Kids mediante el paradigma del Internet de las Cosas.\n \n \n \n\n\n \n Sergio Trilles David Tortosa, C., G.\n\n\n \n\n\n\n In Actas de las XXVI Jornadas sobre Enseñanza Universitaria de la Informática, volume 5, 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {La evolución del proyecto Sucre4Kids mediante el paradigma del Internet de las Cosas},\n type = {inproceedings},\n year = {2020},\n volume = {5},\n id = {4d3e5431-a955-3bf6-8a60-8da6f44da8a8},\n created = {2022-01-11T07:59:37.898Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.024Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {sergio2020evolucion},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Sergio Trilles David Tortosa, Carlos Granell},\n booktitle = {Actas de las XXVI Jornadas sobre Enseñanza Universitaria de la Informática},\n keywords = {conference}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Integration of New Data Layers to Support the Land Cover and Use Information System of Spain (SIOSE): An Approach from Object-Oriented Modelling.\n \n \n \n\n\n \n Zaragozí, B.; Rodríguez-Sala, J., J.; Trilles, S.; and Ramón-Morte, A.\n\n\n \n\n\n\n In International Conference on Geographical Information Systems Theory, Applications and Management, pages 85-101, 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Integration of New Data Layers to Support the Land Cover and Use Information System of Spain (SIOSE): An Approach from Object-Oriented Modelling},\n type = {inproceedings},\n year = {2020},\n pages = {85-101},\n institution = {Springer},\n id = {15168b21-b920-3b44-b000-60d93551e123},\n created = {2022-01-11T07:59:37.900Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2023-01-15T14:19:14.652Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {zaragozi2020integration},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Zaragozí, Benito and Rodríguez-Sala, Jesús Javier and Trilles, Sergio and Ramón-Morte, Alfredo},\n booktitle = {International Conference on Geographical Information Systems Theory, Applications and Management},\n keywords = {conference}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Advancing preuniversity students' computational thinking skills through an educational project based on tangible elements and virtual block-based programming.\n \n \n \n\n\n \n Trilles, S.; and Granell, C.\n\n\n \n\n\n\n Computer Applications in Engineering Education. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Advancing preuniversity students' computational thinking skills through an educational project based on tangible elements and virtual block-based programming},\n type = {article},\n year = {2020},\n id = {e666bc40-b6d7-3a63-ab12-e68015ed2108},\n created = {2022-01-11T07:59:38.043Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:33.889Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2020advancing},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Trilles, Sergio and Granell, Carlos},\n journal = {Computer Applications in Engineering Education},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Openness: A key factor for smart cities.\n \n \n \n\n\n \n Özdal Oktay, S.; Oliver, S., T.; Acedo, A.; Benitez-Paez, F.; Gupta, S.; and Kray, C.\n\n\n \n\n\n\n Handbook of Smart Cities,1-32. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Openness: A key factor for smart cities},\n type = {article},\n year = {2020},\n pages = {1-32},\n publisher = {Springer},\n id = {eb05f2aa-a4fd-3889-8e76-355cf6b2accf},\n created = {2022-01-11T07:59:38.071Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:33.897Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {ozdal2020openness},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Özdal Oktay, Simge and Oliver, Sergio Trilles and Acedo, Albert and Benitez-Paez, Fernando and Gupta, Shivam and Kray, Christian},\n journal = {Handbook of Smart Cities},\n keywords = {chapter}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture.\n \n \n \n\n\n \n Trilles, S.; Juan, P.; D\\'\\iaz-Avalos, C.; Ribeiro, S.; and Painho, M.\n\n\n \n\n\n\n Sensors, 20(22): 6597. 2020.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Reliability Evaluation of the Data Acquisition Potential of a Low-Cost Climatic Network for Applications in Agriculture},\n type = {article},\n year = {2020},\n pages = {6597},\n volume = {20},\n publisher = {Multidisciplinary Digital Publishing Institute},\n id = {b9bca072-d72e-3151-88bf-c2af39a4f1e8},\n created = {2022-01-11T07:59:38.113Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:33.891Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2020reliability},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Trilles, Sergio and Juan, Pablo and D\\'\\iaz-Avalos, Carlos and Ribeiro, Sara and Painho, Marco},\n journal = {Sensors},\n number = {22},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Data on records of environmental phenomena using low-cost sensors in vineyard smallholdings.\n \n \n \n \n\n\n \n Trilles, S.; González-Pérez, A.; Zaragozí, B.; and Huerta, J.\n\n\n \n\n\n\n Data in Brief, 33: 106524. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"DataWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Data on records of environmental phenomena using low-cost sensors in vineyard smallholdings},\n type = {article},\n year = {2020},\n keywords = {journal},\n pages = {106524},\n volume = {33},\n websites = {https://www.sciencedirect.com/science/article/pii/S2352340920314062},\n id = {0649760b-975b-37f8-a0b0-eceddab28bde},\n created = {2022-01-11T07:59:38.151Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.212Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {TRILLES2020106524},\n source_type = {article},\n private_publication = {false},\n abstract = {Inadequate weather conditions are one of the main threats to the correct development of sensitive crops, where a bad situation can lead to greater stress on plants and their weakness against various diseases. This statement is especially decisive in the cultivation of the vineyard. Meteorological monitoring of vineyard parcels is vital to detect and prevent possible fungal diseases. The development of new Information and Communication Technologies, linked to the Smart Farming movement, together with the reduced cost of electronic components, have favoured a greater availability of meteorological monitoring stations to get to know first-class hand the state of the vineyard smallholdings. This work provides a set of over 750,000 environmental raw data records collected by low-cost Internet of Things nodes, primarily located within vineyard smallholdings. The published observations were collected between 2018-04-01 and 2018-10-31 and were validated in previous research to determine the data's reliability.},\n bibtype = {article},\n author = {Trilles, Sergio and González-Pérez, Alberto and Zaragozí, Benito and Huerta, Joaquín},\n doi = {https://doi.org/10.1016/j.dib.2020.106524},\n journal = {Data in Brief}\n}
\n
\n\n\n
\n Inadequate weather conditions are one of the main threats to the correct development of sensitive crops, where a bad situation can lead to greater stress on plants and their weakness against various diseases. This statement is especially decisive in the cultivation of the vineyard. Meteorological monitoring of vineyard parcels is vital to detect and prevent possible fungal diseases. The development of new Information and Communication Technologies, linked to the Smart Farming movement, together with the reduced cost of electronic components, have favoured a greater availability of meteorological monitoring stations to get to know first-class hand the state of the vineyard smallholdings. This work provides a set of over 750,000 environmental raw data records collected by low-cost Internet of Things nodes, primarily located within vineyard smallholdings. The published observations were collected between 2018-04-01 and 2018-10-31 and were validated in previous research to determine the data's reliability.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries.\n \n \n \n\n\n \n Zaragozi, B.; Gutierrez, A.; and Trilles, S.\n\n\n \n\n\n\n In International Conference on Geographical Information Systems Theory, Applications and Management, pages 102-118, 2020. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Analysis of Public Transport Mobility Data: A System for Sharing and Reusing GIS Database Queries},\n type = {inproceedings},\n year = {2020},\n pages = {102-118},\n institution = {Springer},\n id = {72cdfecf-bb2e-3581-85c2-3ae1d7ab3775},\n created = {2022-01-11T07:59:38.230Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:33.906Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {zaragozi2020analysis},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Zaragozi, Benito and Gutierrez, Aaron and Trilles, Sergio},\n booktitle = {International Conference on Geographical Information Systems Theory, Applications and Management},\n keywords = {conference}\n}
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2019\n \n \n (10)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Lessons Learned in Generating Ground Truth for Indoor Positioning Systems Based on Wi-Fi Fingerprinting.\n \n \n \n\n\n \n Torres-Sospedra, J.; Belmonte-Fernández, Ó.; Mendoza-Silva, G., M.; Montoliu, R.; Puertas-Cabedo, A.; Rodríguez-Pupo, L., E.; Trilles, S.; Calia, A.; Benedito-Bordonau, M.; and Huerta, J.\n\n\n \n\n\n\n Geographical and Fingerprinting Data to Create Systems for Indoor Positioning and Indoor/Outdoor Navigation, pages 45-67. Elsevier, 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2019},\n pages = {45-67},\n publisher = {Elsevier},\n id = {2f0d592d-3e58-3453-94cf-dfba56f88bce},\n created = {2018-10-16T20:49:20.467Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-01-26T23:20:15.616Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {torres2019lessons},\n source_type = {incollection},\n private_publication = {false},\n bibtype = {inbook},\n author = {Torres-Sospedra, Joaquín and Belmonte-Fernández, Óscar and Mendoza-Silva, Germán M and Montoliu, Raul and Puertas-Cabedo, Adrián and Rodríguez-Pupo, Luis E and Trilles, Sergio and Calia, Andrea and Benedito-Bordonau, Mauri and Huerta, Joaquín},\n chapter = {Lessons Learned in Generating Ground Truth for Indoor Positioning Systems Based on Wi-Fi Fingerprinting},\n title = {Geographical and Fingerprinting Data to Create Systems for Indoor Positioning and Indoor/Outdoor Navigation},\n keywords = {chapter}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes.\n \n \n \n \n\n\n \n Trilles Oliver, S.; González-Pérez, A.; Huerta Guijarro, J.; Trilles Oliver, S.; González-Pérez, A.; and Huerta Guijarro, J.\n\n\n \n\n\n\n Sustainability, 11(2): 416. 1 2019.\n \n\n\n\n
\n\n\n\n \n \n \"AdaptingPaper\n  \n \n \n \"AdaptingWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Adapting Models to Warn Fungal Diseases in Vineyards Using In-Field Internet of Things (IoT) Nodes},\n type = {article},\n year = {2019},\n keywords = {journal},\n pages = {416},\n volume = {11},\n websites = {http://www.mdpi.com/2071-1050/11/2/416},\n month = {1},\n publisher = {Multidisciplinary Digital Publishing Institute},\n day = {15},\n id = {8ea9c870-16d6-3a2b-b448-14e113050afe},\n created = {2019-01-26T23:12:44.551Z},\n accessed = {2019-01-26},\n file_attached = {true},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.389Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {TrillesOliver2019},\n private_publication = {false},\n abstract = {Weather conditions are one of the main threats that can lead to diseases in crops. Unfavourable conditions, such as rain or high humidity, can produce a risk of fungal diseases. Meteorological monitoring is vital to have some indication of a possible infection. The literature contains a wide variety of models for warning for this type of disease.These are capable of warning when an infection may be present. Devices (weather stations) able to measure weather conditions in real-time are needed to know precisely when an infection occurs in a smallholding. Besides, such models cannot be executed at the same time in which the observations are collected; in fact, these models are usually executed in batches at a rate of one per day. Therefore, these models need to be adapted to run at the same frequency as that at which observations are collected so that a possible disease can be dealt with as early as possible. The primary aim of this work is to adapt disease warning models to run in (near) real-time over meteorological variables generated by Internet of Things (IoT) devices, in order to inform farmers as quickly as possible if their crop is in danger of being infected by diseases, and to enable them to tackle the infection with the appropriate treatments. The work is centered on vineyards and has been tested in four different smallholdings in the province of Castellón (Spain).},\n bibtype = {article},\n author = {Trilles Oliver, Sergio and González-Pérez, Alberto and Huerta Guijarro, Joaquín and Trilles Oliver, Sergio and González-Pérez, Alberto and Huerta Guijarro, Joaquín},\n doi = {10.3390/su11020416},\n journal = {Sustainability},\n number = {2}\n}
\n
\n\n\n
\n Weather conditions are one of the main threats that can lead to diseases in crops. Unfavourable conditions, such as rain or high humidity, can produce a risk of fungal diseases. Meteorological monitoring is vital to have some indication of a possible infection. The literature contains a wide variety of models for warning for this type of disease.These are capable of warning when an infection may be present. Devices (weather stations) able to measure weather conditions in real-time are needed to know precisely when an infection occurs in a smallholding. Besides, such models cannot be executed at the same time in which the observations are collected; in fact, these models are usually executed in batches at a rate of one per day. Therefore, these models need to be adapted to run at the same frequency as that at which observations are collected so that a possible disease can be dealt with as early as possible. The primary aim of this work is to adapt disease warning models to run in (near) real-time over meteorological variables generated by Internet of Things (IoT) devices, in order to inform farmers as quickly as possible if their crop is in danger of being infected by diseases, and to enable them to tackle the infection with the appropriate treatments. The work is centered on vineyards and has been tested in four different smallholdings in the province of Castellón (Spain).\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Development of an open sensorized platform in a smart agriculture context: A vineyard support system for monitoring mildew disease.\n \n \n \n \n\n\n \n Trilles, S.; Torres-Sospedra, J.; Belmonte, Ó.; Zarazaga-Soria, F., J.; González-Pérez, A.; and Huerta, J.\n\n\n \n\n\n\n Sustainable Computing: Informatics and Systems. 1 2019.\n \n\n\n\n
\n\n\n\n \n \n \"DevelopmentPaper\n  \n \n \n \"DevelopmentWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Development of an open sensorized platform in a smart agriculture context: A vineyard support system for monitoring mildew disease},\n type = {article},\n year = {2019},\n websites = {https://www.sciencedirect.com/science/article/pii/S2210537918302270},\n month = {1},\n publisher = {Elsevier},\n day = {24},\n id = {fae20f32-80eb-3d04-a6d1-3383d304357f},\n created = {2019-01-26T23:47:29.448Z},\n accessed = {2019-01-27},\n file_attached = {true},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.647Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Trilles2019},\n private_publication = {false},\n abstract = {In recent years, some official reports, to produce best products regarding quality, quantity and economic conditions, recommend that the farming sector should benefit with new tools and techniques coming from Information and Communications Technology (ICT) realm. In this way, during last decade the deployment of sensing devices has increased considerably in the field of agriculture. This fact has led to a new concept called smart agriculture, and it contemplates activities such as field monitoring, which offer support to make decisions or perform actions, such as irrigation or fertilization. Apart from sensing devices, which use the Internet protocol to transfer data (Internet of Things), there are the so-called crop models, which are able to provide added value over the data provided by the sensors, with the aim of providing recommendations to farmers in decision-making and thus, increase the quality and quantity of their production. In this scenario, the current work uses a low-cost sensorized platform, capable of monitoring meteorological phenomena following the Internet of Things paradigm, with the goal to apply an alert disease model on the cultivation of the vine. The edge computing paradigm is used to achieve this objective; also our work follows some advances from GIScience to increase interoperability. An example of this platform has been deployed in a vineyard parcel located in the municipality of Vilafamés (Castelló, Spain).},\n bibtype = {article},\n author = {Trilles, Sergio and Torres-Sospedra, Joaquín and Belmonte, Óscar and Zarazaga-Soria, F. Javier and González-Pérez, Alberto and Huerta, Joaquín},\n doi = {10.1016/J.SUSCOM.2019.01.011},\n journal = {Sustainable Computing: Informatics and Systems},\n keywords = {journal}\n}
\n
\n\n\n
\n In recent years, some official reports, to produce best products regarding quality, quantity and economic conditions, recommend that the farming sector should benefit with new tools and techniques coming from Information and Communications Technology (ICT) realm. In this way, during last decade the deployment of sensing devices has increased considerably in the field of agriculture. This fact has led to a new concept called smart agriculture, and it contemplates activities such as field monitoring, which offer support to make decisions or perform actions, such as irrigation or fertilization. Apart from sensing devices, which use the Internet protocol to transfer data (Internet of Things), there are the so-called crop models, which are able to provide added value over the data provided by the sensors, with the aim of providing recommendations to farmers in decision-making and thus, increase the quality and quantity of their production. In this scenario, the current work uses a low-cost sensorized platform, capable of monitoring meteorological phenomena following the Internet of Things paradigm, with the goal to apply an alert disease model on the cultivation of the vine. The edge computing paradigm is used to achieve this objective; also our work follows some advances from GIScience to increase interoperability. An example of this platform has been deployed in a vineyard parcel located in the municipality of Vilafamés (Castelló, Spain).\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Using Weather Conditions and Advanced Machine Learning Methods to Predict Soccer Outcome.\n \n \n \n \n\n\n \n Denny Asarias Palinggi, Francisco Ramos, Joaquín Torres-Sospedra, S., T., a., J., H.\n\n\n \n\n\n\n In Kyriakidis, P., Hadjimitsis, D., Skarlatos, D. & Mansourian, A., editor(s), Accepted Short Papers and Posters from the 22nd AGILE Conference on Geo-information Science. Cyprus University of Technology 17-20 June 2019, Limassol, Cyprus, 2019. Stichting AGILE\n \n\n\n\n
\n\n\n\n \n \n \"UsingWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Using Weather Conditions and Advanced Machine Learning Methods to Predict Soccer Outcome.},\n type = {inproceedings},\n year = {2019},\n keywords = {conference},\n websites = {https://agile-online.org/images/conference_2019/documents/posters/65_Upload_your_PDF_file.pdf},\n publisher = {Stichting AGILE},\n city = {Limassol, Cyprus},\n id = {2d218823-4f18-36cd-afdc-7f22cb9b73f4},\n created = {2019-06-27T09:21:48.723Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.475Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {DennyAsariasPalinggiFranciscoRamosJoaquinTorres-Sospedra2019},\n private_publication = {false},\n abstract = {Massive amounts of research have been doing on predicting soccer matches using machine learning algorithms. Unfortunately, there are no prior researches used weather condition as features. In this work, three different classification algorithms were investigated for predicting the outcomes of soccer matches by using temperature difference and several other historical match statistics as features. More concretely, the dataset consists of statistic information of soccer matches in La Liga and Segunda division from season 2013-2014 to 2016-2017 and meteorological data in every host city. The results show that the Support Vector Machine model has better accuracy score compare to K-Nearest Neighbours and Random Forest with 45.32% for temperature difference below 5° and 49.51% for temperature difference above 5°. Our test results have shown that weather information can be important factors to improve the prediction accuracy of soccer matches outcome},\n bibtype = {inproceedings},\n author = {Denny Asarias Palinggi, Francisco Ramos, Joaquín Torres-Sospedra, Sergio Trilles and Joaquín Huerta},\n editor = {Kyriakidis, P., Hadjimitsis, D., Skarlatos, D. & Mansourian, A.},\n booktitle = {Accepted Short Papers and Posters from the 22nd AGILE Conference on Geo-information Science. Cyprus University of Technology 17-20 June 2019, Limassol, Cyprus}\n}
\n
\n\n\n
\n Massive amounts of research have been doing on predicting soccer matches using machine learning algorithms. Unfortunately, there are no prior researches used weather condition as features. In this work, three different classification algorithms were investigated for predicting the outcomes of soccer matches by using temperature difference and several other historical match statistics as features. More concretely, the dataset consists of statistic information of soccer matches in La Liga and Segunda division from season 2013-2014 to 2016-2017 and meteorological data in every host city. The results show that the Support Vector Machine model has better accuracy score compare to K-Nearest Neighbours and Random Forest with 45.32% for temperature difference below 5° and 49.51% for temperature difference above 5°. Our test results have shown that weather information can be important factors to improve the prediction accuracy of soccer matches outcome\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n SUCRE4Kids: tres años de experiencia en la incentivación del pensamiento computacional en edades preuniversitarias.\n \n \n \n\n\n \n Trilles, S.; Granell, C.; and Aguilar-Moreno, E.\n\n\n \n\n\n\n TICAI 2018: TICs para el Aprendizaje de la Ingenier\\'\\ia, pages 49-56. IEEE, 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2019},\n pages = {49-56},\n publisher = {IEEE},\n id = {269b350b-9d29-39a3-bb42-4ae3410974c3},\n created = {2020-01-27T23:53:26.044Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:45.487Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2019sucre4kids},\n source_type = {incollection},\n private_publication = {false},\n bibtype = {inbook},\n author = {Trilles, Sergio and Granell, Carlos and Aguilar-Moreno, Estefan\\'\\ia},\n chapter = {SUCRE4Kids: tres años de experiencia en la incentivación del pensamiento computacional en edades preuniversitarias},\n title = {TICAI 2018: TICs para el Aprendizaje de la Ingenier\\'\\ia},\n keywords = {chapter}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Mejorando la interoperabilidad en redes de monitorización de la calidad de aire medinte un estándar de loT.\n \n \n \n\n\n \n Velayos, Jesús; Trilles, Sergio; San José, José Ivan; Gamazo, J., C.\n\n\n \n\n\n\n I Congresos Nacional TFG-TFM ambientales. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Mejorando la interoperabilidad en redes de monitorización de la calidad de aire medinte un estándar de loT},\n type = {article},\n year = {2019},\n id = {244982df-a1ee-3bf9-bb2c-89348964b351},\n created = {2020-01-28T00:09:04.055Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.252Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {VelayosJesus;TrillesSergio;SanJoseJoseIvan;Gamazo2019},\n private_publication = {false},\n bibtype = {article},\n author = {Velayos, Jesús; Trilles, Sergio; San José, José Ivan; Gamazo, José Carlos},\n journal = {I Congresos Nacional TFG-TFM ambientales},\n keywords = {conference}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Aumentando la interoperabilidad de una red de monitorización de calidad del aire mediante estándares web de IoT.\n \n \n \n\n\n \n Trilles, Sergio; Velayos, Jesús; San José, José Ivan; Gamazo, J., C.\n\n\n \n\n\n\n In IGN, editor(s), X Jornadas Ibéricas de las Infraestructuras de los datos espaciales., 2019. IGN\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Aumentando la interoperabilidad de una red de monitorización de calidad del aire mediante estándares web de IoT},\n type = {inproceedings},\n year = {2019},\n publisher = {IGN},\n city = {Caceres},\n id = {1a56c83e-f67c-3e09-9cd5-cceb158e6963},\n created = {2020-01-28T00:09:04.055Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.183Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {TrillesSergio;VelayosJesus;SanJoseJoseIvan;Gamazo2019},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Trilles, Sergio; Velayos, Jesús; San José, José Ivan; Gamazo, José Carlos},\n editor = {IGN, undefined},\n booktitle = {X Jornadas Ibéricas de las Infraestructuras de los datos espaciales.},\n keywords = {conference}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Chapter 20 Internet of Things.\n \n \n \n\n\n \n Trilles, S.; Granell, C.; Kamilaris, A.; Kotsev, A.; Ostermann, F.; and Trilles, S.\n\n\n \n\n\n\n arXiv. 2019.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n\n\n\n
\n
@inbook{\n type = {inbook},\n year = {2019},\n keywords = {Geospatial standards,Internet of Things,Smart scenarios},\n id = {538def2e-bc56-3cca-9d7f-8623d8f50c48},\n created = {2020-11-01T23:59:00.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:33.875Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Trilles2019a},\n private_publication = {true},\n abstract = {Copyright © 2019, arXiv, All rights reserved. Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space (remote sensing) and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking location as a key element. The current era of connectivity envisions that everything is connected to everything. The concept of the Internet of Things (IoT) emerged as a holistic proposal to enable an ecosystem of varied, heterogeneous networked objects and devices to speak to and interact with each other. To make the IoT ecosystem a reality, it is necessary to understand the electronic components, communication protocols, real-time analysis techniques, and the location of the objects and devices. The IoT ecosystem and the Digital Earth (DE) jointly form interrelated infrastructures for addressing today’s pressing issues and complex challenges. In this chapter, we explore the synergies and frictions in establishing an efficient and permanent collaboration between the two infrastructures, in order to adequately address multidisciplinary and increasingly complex real-world problems. Although there are still some pending issues, the identified synergies generate optimism for a true collaboration between the Internet of Things and the Digital Earth.},\n bibtype = {inbook},\n author = {Trilles, S. and Granell, C. and Kamilaris, A. and Kotsev, A. and Ostermann, F.O. and Trilles, S.},\n chapter = {Chapter 20 Internet of Things},\n title = {arXiv}\n}
\n
\n\n\n
\n Copyright © 2019, arXiv, All rights reserved. Digital Earth was born with the aim of replicating the real world within the digital world. Many efforts have been made to observe and sense the Earth, both from space (remote sensing) and by using in situ sensors. Focusing on the latter, advances in Digital Earth have established vital bridges to exploit these sensors and their networks by taking location as a key element. The current era of connectivity envisions that everything is connected to everything. The concept of the Internet of Things (IoT) emerged as a holistic proposal to enable an ecosystem of varied, heterogeneous networked objects and devices to speak to and interact with each other. To make the IoT ecosystem a reality, it is necessary to understand the electronic components, communication protocols, real-time analysis techniques, and the location of the objects and devices. The IoT ecosystem and the Digital Earth (DE) jointly form interrelated infrastructures for addressing today’s pressing issues and complex challenges. In this chapter, we explore the synergies and frictions in establishing an efficient and permanent collaboration between the two infrastructures, in order to adequately address multidisciplinary and increasingly complex real-world problems. Although there are still some pending issues, the identified synergies generate optimism for a true collaboration between the Internet of Things and the Digital Earth.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Air quality trend of PM10. Statistical models for assessing the air quality impact of environmental policies.\n \n \n \n\n\n \n Vicente, A.; Juan, P.; Meseguer, S.; Serra, L.; and Trilles, S.\n\n\n \n\n\n\n Sustainability (Switzerland), 11(20). 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{\n title = {Air quality trend of PM10. Statistical models for assessing the air quality impact of environmental policies},\n type = {article},\n year = {2019},\n keywords = {Interpolation methods,Kalman Smoothing,PM10,Trend},\n volume = {11},\n id = {f815c87a-7938-3c6f-bccb-1813434d585c},\n created = {2019-11-06T23:59:00.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.938Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Vicente2019},\n private_publication = {true},\n abstract = {© 2019 by the authors. A statistical modelling of PM10 concentration (2006-2015) is applied to understand the behaviour, to know the influence of the variables to exposure risk, to treat the missing data to evaluate air quality, and to estimate data for those sites where they are not available. The study area, Castellón region (Spain), is a strategic area in the framework of EU pollution control. A decrease of PM10 is observed for industrial and urban stations. In the case of rural stations, the levels remain constant throughout the study period. The contribution of anthropogenic sources has been estimated through the PM10 background of the study area. The behaviour of PM10 annual trend is tri-modal for industrial and urban stations and bi-modal in the case of rural stations. The EU Normative suggests that 90% of the data per year are necessary to control air quality. Thus, interpolation statistical methods are presented to fill missing data: Linear Interpolation, Exponential Interpolation, and Kalman Smoothing. This study also focuses on testing the goodness of these methods in order to find the ones that better approach the gaps. After analyzing graphically and using the RMSE the last method is confirmed to be the best option.},\n bibtype = {article},\n author = {Vicente, A.B. and Juan, P. and Meseguer, S. and Serra, L. and Trilles, S.},\n doi = {10.3390/su11205857},\n journal = {Sustainability (Switzerland)},\n number = {20}\n}
\n
\n\n\n
\n © 2019 by the authors. A statistical modelling of PM10 concentration (2006-2015) is applied to understand the behaviour, to know the influence of the variables to exposure risk, to treat the missing data to evaluate air quality, and to estimate data for those sites where they are not available. The study area, Castellón region (Spain), is a strategic area in the framework of EU pollution control. A decrease of PM10 is observed for industrial and urban stations. In the case of rural stations, the levels remain constant throughout the study period. The contribution of anthropogenic sources has been estimated through the PM10 background of the study area. The behaviour of PM10 annual trend is tri-modal for industrial and urban stations and bi-modal in the case of rural stations. The EU Normative suggests that 90% of the data per year are necessary to control air quality. Thus, interpolation statistical methods are presented to fill missing data: Linear Interpolation, Exponential Interpolation, and Kalman Smoothing. This study also focuses on testing the goodness of these methods in order to find the ones that better approach the gaps. After analyzing graphically and using the RMSE the last method is confirmed to be the best option.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Reliability validation of a low-cost particulate matter IoT sensor in indoor and outdoor environments using a reference sampler.\n \n \n \n\n\n \n Trilles, S.; Vicente, A.; Juan, P.; Ramos, F.; Meseguer, S.; and Serra, L.\n\n\n \n\n\n\n Sustainability (Switzerland), 11(24). 2019.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{\n title = {Reliability validation of a low-cost particulate matter IoT sensor in indoor and outdoor environments using a reference sampler},\n type = {article},\n year = {2019},\n keywords = {Air quality,Low-cost sensors,Particulate matter,Reference samplers},\n volume = {11},\n id = {86e1a962-894f-3f73-a33c-4037c75c20ce},\n created = {2020-02-21T23:59:00.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:35.021Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {false},\n hidden = {false},\n citation_key = {Trilles2019b},\n private_publication = {true},\n abstract = {© 2019 The Author(s). A suitable and quick determination of air quality allows the population to be alerted with respect to high concentrations of pollutants. Recent advances in computer science have led to the development of a high number of low-cost sensors, improving the spatial and temporal resolution of air quality data while increasing the effectiveness of risk assessment. The main objective of this work is to perform a validation of a particulate matter (PM) sensor (HM-3301) in indoor and outdoor environments to study PM2.5 and PM10 concentrations. To date, this sensor has not been evaluated in real-world situations, and its data quality has not been documented. Here, the HM-3301 sensor is integrated into an Internet of things (IoT) platform to establish a permanent Internet connection. The validation is carried out using a reference sampler (LVS3 of Derenda) according to EN12341:2014. It is focused on statistical insight, and environmental conditions are not considered in this study. The ordinary Linear Model, the Generalized Linear Model, Locally Estimated Scatterplot Smoothing, and the Generalized Additive Model have been proposed to compare and contrast the outcomes. The low-cost sensor is highly correlated with the reference measure (R2 greater than 0.70), especially for PM2.5, with a very high accuracy value. In addition, there is a positive relationship between the two measurements, which can be appropriately fitted through the Locally Estimated Scatterplot Smoothing model.},\n bibtype = {article},\n author = {Trilles, S. and Vicente, A.B. and Juan, P. and Ramos, F. and Meseguer, S. and Serra, L.},\n doi = {10.3390/su11247220},\n journal = {Sustainability (Switzerland)},\n number = {24}\n}
\n
\n\n\n
\n © 2019 The Author(s). A suitable and quick determination of air quality allows the population to be alerted with respect to high concentrations of pollutants. Recent advances in computer science have led to the development of a high number of low-cost sensors, improving the spatial and temporal resolution of air quality data while increasing the effectiveness of risk assessment. The main objective of this work is to perform a validation of a particulate matter (PM) sensor (HM-3301) in indoor and outdoor environments to study PM2.5 and PM10 concentrations. To date, this sensor has not been evaluated in real-world situations, and its data quality has not been documented. Here, the HM-3301 sensor is integrated into an Internet of things (IoT) platform to establish a permanent Internet connection. The validation is carried out using a reference sampler (LVS3 of Derenda) according to EN12341:2014. It is focused on statistical insight, and environmental conditions are not considered in this study. The ordinary Linear Model, the Generalized Linear Model, Locally Estimated Scatterplot Smoothing, and the Generalized Additive Model have been proposed to compare and contrast the outcomes. The low-cost sensor is highly correlated with the reference measure (R2 greater than 0.70), especially for PM2.5, with a very high accuracy value. In addition, there is a positive relationship between the two measurements, which can be appropriately fitted through the Locally Estimated Scatterplot Smoothing model.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2018\n \n \n (10)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n SUCRE4Kids: El fomento del pensamiento computacional a través de la interacción social y tangible.\n \n \n \n\n\n \n Trilles, S.; and Granell, C.\n\n\n \n\n\n\n In jenui, editor(s), XXIV Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2018), 2018. jenui\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {SUCRE4Kids: El fomento del pensamiento computacional a través de la interacción social y tangible},\n type = {inproceedings},\n year = {2018},\n keywords = {conference},\n publisher = {jenui},\n city = {Barcelon, Spain},\n id = {caf08cb2-d7b7-317d-91b4-b3fb168b157d},\n created = {2018-06-17T20:13:02.142Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:49:00.786Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {sergiotrillescarlosgranell2018},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Trilles, Sergio and Granell, Carlos},\n editor = {jenui, undefined},\n booktitle = {XXIV Jornadas sobre la Enseñanza Universitaria de la Informática (JENUI 2018)}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Creating a conceptual framework to improve the re-usability of open geographic data in cities.\n \n \n \n\n\n \n Benitez-Paez, F.; Comber, A.; Trilles, S.; and Huerta, J.\n\n\n \n\n\n\n Transactions in GIS. 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Creating a conceptual framework to improve the re-usability of open geographic data in cities},\n type = {article},\n year = {2018},\n keywords = {journal},\n publisher = {Wiley},\n id = {affaa735-ab7c-37e1-90d8-e077c036fabb},\n created = {2018-06-17T20:13:02.184Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-12-22T00:21:31.664Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {benitez2018creating},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Benitez-Paez, F and Comber, A and Trilles, S and Huerta, J},\n journal = {Transactions in GIS}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Roadblocks Hindering the Reuse of Open Geodata in Colombia and Spain: A Data User’s Perspective.\n \n \n \n \n\n\n \n Benitez-Paez, F.; Degbelo, A.; Trilles, S.; and Huerta, J.\n\n\n \n\n\n\n ISPRS International Journal of Geo-Information, 7(2): 6. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"RoadblocksWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Roadblocks Hindering the Reuse of Open Geodata in Colombia and Spain: A Data User’s Perspective},\n type = {article},\n year = {2018},\n keywords = {journal},\n pages = {6},\n volume = {7},\n websites = {http://www.mdpi.com/2220-9964/7/1/6},\n id = {624c7796-2dcb-3a3e-9944-d57f82ef09b9},\n created = {2018-06-17T20:13:03.031Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-12-22T00:21:31.520Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {ijgi7010006},\n source_type = {article},\n private_publication = {false},\n abstract = {Open data initiatives are playing an important role in current city governments. Despite more data being made open, few studies have looked into barriers to open geographic data reuse from a data consumer’s perspective. This article suggests a taxonomy of these barriers for Colombia and Spain, based on a literature review, an online questionnaire, and workshops conducted in four cities of these two countries. The taxonomy highlights that issues such as outdated data, low integration of data producers, published data being difficult to access, misinterpretation and misuse of released data and their terms of use are the most relevant from the data consumer’s point of view. The article ends with some recommendations to open data providers and research as regards steps to make open geographic data more usable in the countries analyzed.},\n bibtype = {article},\n author = {Benitez-Paez, Fernando and Degbelo, Auriol and Trilles, Sergio and Huerta, Joaquin},\n doi = {10.3390/ijgi7010006},\n journal = {ISPRS International Journal of Geo-Information},\n number = {2}\n}
\n
\n\n\n
\n Open data initiatives are playing an important role in current city governments. Despite more data being made open, few studies have looked into barriers to open geographic data reuse from a data consumer’s perspective. This article suggests a taxonomy of these barriers for Colombia and Spain, based on a literature review, an online questionnaire, and workshops conducted in four cities of these two countries. The taxonomy highlights that issues such as outdated data, low integration of data producers, published data being difficult to access, misinterpretation and misuse of released data and their terms of use are the most relevant from the data consumer’s point of view. The article ends with some recommendations to open data providers and research as regards steps to make open geographic data more usable in the countries analyzed.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n SEnviro for Agriculture: An IoT full stack for monitoring vineyards – Early steps.\n \n \n \n\n\n \n Oliver, S., T.; Perez, A., G.; Soria, F., J., Z.; and Guijarro, J., H.\n\n\n \n\n\n\n In 21st International Conference on Geographic Information Science (AGILE 2018), 2018. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {SEnviro for Agriculture: An IoT full stack for monitoring vineyards – Early steps},\n type = {inproceedings},\n year = {2018},\n keywords = {conference},\n id = {9ece8a1f-bb94-33c9-b491-c6230904f3c4},\n created = {2018-06-17T20:13:03.615Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:49:00.585Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {agile2018},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Oliver, Sergio Trilles and Perez, Alberto Gonzalez and Soria, F Javier Zarazaga and Guijarro, Joaquín Huerta},\n booktitle = {21st International Conference on Geographic Information Science (AGILE 2018)}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n GEO-C: Enabling open cities and the Open City Toolkit.\n \n \n \n\n\n \n Granell, C.; Bhattacharya, D.; Casteleyn, S.; Degbelo, A.; Gould, M.; Kray, C.; Painho, M.; and Trilles, S.\n\n\n \n\n\n\n In Proceedings of the International Conference on Free and Open Source Software for Geospatial Applications (FOSS4G 2018), 2018. FOSS4G\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {GEO-C: Enabling open cities and the Open City Toolkit},\n type = {inproceedings},\n year = {2018},\n keywords = {conference},\n publisher = {FOSS4G},\n id = {576c1a0c-b9cf-3328-9c7c-647c009fa0cd},\n created = {2018-06-17T20:13:03.639Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:49:00.534Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {oct2018},\n source_type = {inproceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Granell, Carlos and Bhattacharya, Devanjan and Casteleyn, Sven and Degbelo, Auriol and Gould, Mike and Kray, Christian and Painho, Marco and Trilles, Sergio},\n booktitle = {Proceedings of the International Conference on Free and Open Source Software for Geospatial Applications (FOSS4G 2018)}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Promoting Pollution-Free Routes in Smart Cities Using Air Quality Sensor Networks.\n \n \n \n \n\n\n \n Ramos, F.; Trilles, S.; Muñoz, A.; Huerta, J.; Ramos, F.; Trilles, S.; Muñoz, A.; and Huerta, J.\n\n\n \n\n\n\n Sensors, 18(8): 2507. 8 2018.\n \n\n\n\n
\n\n\n\n \n \n \"PromotingPaper\n  \n \n \n \"PromotingWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Promoting Pollution-Free Routes in Smart Cities Using Air Quality Sensor Networks},\n type = {article},\n year = {2018},\n keywords = {journal},\n pages = {2507},\n volume = {18},\n websites = {http://www.mdpi.com/1424-8220/18/8/2507},\n month = {8},\n publisher = {Multidisciplinary Digital Publishing Institute},\n day = {1},\n id = {a3badb26-07bb-3597-aa58-69ddb9e4504b},\n created = {2018-09-15T10:31:22.159Z},\n accessed = {2018-09-15},\n file_attached = {true},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.220Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Ramos2018a},\n private_publication = {false},\n abstract = {Nowadays, citizens have a huge concern about the quality of life in their cities, especially regarding the level of pollution. Air quality level is of great importance, not only to plan our activities but also to take precautionary measures for our health. All levels of governments are concerned about it and have built their indexes to measure the air quality level in their countries, regions or cities. Taking into account the existing sensor infrastructure within smart cities, it makes possible to evaluate these indices and to know anywhere the level of pollution in real-time. In this scenario, the main objective of the current work is to foster citizens’ awareness about pollution by offering pollution-free routes. To achieve this goal, a technology-agnostic methodology is presented, which allows for creating pollution-free routes across cities depending on the level of pollution in each zone. The current work includes an extensive study of existing air quality indices, and proposes and carries forward to deployment of the defined methodology in a big city, such as Madrid (Spain).},\n bibtype = {article},\n author = {Ramos, Francisco and Trilles, Sergio and Muñoz, Andrés and Huerta, Joaquín and Ramos, Francisco and Trilles, Sergio and Muñoz, Andrés and Huerta, Joaquín},\n doi = {10.3390/s18082507},\n journal = {Sensors},\n number = {8}\n}
\n
\n\n\n
\n Nowadays, citizens have a huge concern about the quality of life in their cities, especially regarding the level of pollution. Air quality level is of great importance, not only to plan our activities but also to take precautionary measures for our health. All levels of governments are concerned about it and have built their indexes to measure the air quality level in their countries, regions or cities. Taking into account the existing sensor infrastructure within smart cities, it makes possible to evaluate these indices and to know anywhere the level of pollution in real-time. In this scenario, the main objective of the current work is to foster citizens’ awareness about pollution by offering pollution-free routes. To achieve this goal, a technology-agnostic methodology is presented, which allows for creating pollution-free routes across cities depending on the level of pollution in each zone. The current work includes an extensive study of existing air quality indices, and proposes and carries forward to deployment of the defined methodology in a big city, such as Madrid (Spain).\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n An IoT proposal for monitoring vineyards called SEnviro for agriculture.\n \n \n \n\n\n \n Trilles, Sergio; Gonzalez-Perez, Alberto; Huerta, J.\n\n\n \n\n\n\n In Proceedings of the 8th International Conference on the Internet of Things, 2018. ACM\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {An IoT proposal for monitoring vineyards called SEnviro for agriculture},\n type = {inproceedings},\n year = {2018},\n keywords = {Conference},\n publisher = {ACM},\n city = {New York, NY, USA},\n id = {ff68fd41-0f98-3855-abb3-a6a51692ad3d},\n created = {2018-10-16T20:43:54.616Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-10-16T20:49:20.961Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Janowicz:2018:3277593},\n source_type = {proceedings},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Trilles, Sergio; Gonzalez-Perez, Alberto; Huerta, Joaquin},\n booktitle = {Proceedings of the 8th International Conference on the Internet of Things}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n A Comprehensive IoT Node Proposal Using Open Hardware. A Smart Farming Use Case to Monitor Vineyards.\n \n \n \n \n\n\n \n Trilles, S.; González-Pérez, A.; and Huerta, J.\n\n\n \n\n\n\n Electronics, 7(12): 419. 12 2018.\n \n\n\n\n
\n\n\n\n \n \n \"APaper\n  \n \n \n \"AWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {A Comprehensive IoT Node Proposal Using Open Hardware. A Smart Farming Use Case to Monitor Vineyards},\n type = {article},\n year = {2018},\n keywords = {journal},\n pages = {419},\n volume = {7},\n websites = {http://www.mdpi.com/2079-9292/7/12/419},\n month = {12},\n publisher = {Multidisciplinary Digital Publishing Institute},\n day = {10},\n id = {3a70dd36-71ed-3a79-b323-1ae77d8332d5},\n created = {2018-12-16T00:26:02.078Z},\n accessed = {2018-12-16},\n file_attached = {true},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.334Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Trilles2018},\n private_publication = {false},\n abstract = {The last decade has witnessed a significant reduction in prices and an increased performance of electronic components, coupled with the influence of the shift towards the generation of open resources, both in terms of knowledge (open access), programs (open-source software), and components (open hardware). This situation has produced different effects in today’s society, among which is the empowerment of citizens, called makers, who are themselves able to generate citizen science or build assembly developments. Situated in the context described above, the current study follows a Do-It-Yourself (DIY) approach. In this way, it attempts to define a conceptual design of an Internet of Things (IoT) node, which is reproducible at both physical and behavioral levels, to build IoT nodes which can cover any scenario. To test this conceptual design, this study proposes a sensorization node to monitor meteorological phenomena. The node is called SEnviro (node) and features different improvements such as: the possibility of remote updates using Over-the-Air (OTA) updates; autonomy, using 3G connectivity, a solar panel, and applied energy strategies to prolong its life; and replicability, because it is made up of open hardware and other elements such as 3D-printed pieces. The node is validated in the field of smart agriculture, with the aim of monitoring different meteorological phenomena, which will be used as input to disease detection models to detect possible diseases within vineyards.},\n bibtype = {article},\n author = {Trilles, Sergio and González-Pérez, Alberto and Huerta, Joaquín},\n doi = {10.3390/electronics7120419},\n journal = {Electronics},\n number = {12}\n}
\n
\n\n\n
\n The last decade has witnessed a significant reduction in prices and an increased performance of electronic components, coupled with the influence of the shift towards the generation of open resources, both in terms of knowledge (open access), programs (open-source software), and components (open hardware). This situation has produced different effects in today’s society, among which is the empowerment of citizens, called makers, who are themselves able to generate citizen science or build assembly developments. Situated in the context described above, the current study follows a Do-It-Yourself (DIY) approach. In this way, it attempts to define a conceptual design of an Internet of Things (IoT) node, which is reproducible at both physical and behavioral levels, to build IoT nodes which can cover any scenario. To test this conceptual design, this study proposes a sensorization node to monitor meteorological phenomena. The node is called SEnviro (node) and features different improvements such as: the possibility of remote updates using Over-the-Air (OTA) updates; autonomy, using 3G connectivity, a solar panel, and applied energy strategies to prolong its life; and replicability, because it is made up of open hardware and other elements such as 3D-printed pieces. The node is validated in the field of smart agriculture, with the aim of monitoring different meteorological phenomena, which will be used as input to disease detection models to detect possible diseases within vineyards.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n New Trends in Using Augmented Reality Apps for Smart City Contexts.\n \n \n \n \n\n\n \n Ramos, F.; Trilles, S.; Torres-Sospedra, J.; and Perales, F.\n\n\n \n\n\n\n ISPRS International Journal of Geo-Information, 7(12): 478. 12 2018.\n \n\n\n\n
\n\n\n\n \n \n \"NewPaper\n  \n \n \n \"NewWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {New Trends in Using Augmented Reality Apps for Smart City Contexts},\n type = {article},\n year = {2018},\n keywords = {journal},\n pages = {478},\n volume = {7},\n websites = {http://www.mdpi.com/2220-9964/7/12/478},\n month = {12},\n publisher = {Multidisciplinary Digital Publishing Institute},\n day = {14},\n id = {1832d3b3-2b0f-3c63-872b-eded6a273044},\n created = {2018-12-16T00:26:34.334Z},\n file_attached = {true},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.043Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Ramos2018},\n private_publication = {false},\n abstract = {The idea of virtuality is not new, as research on visualization and simulation dates back to the early use of ink and paper sketches for alternative design comparisons. As technology has advanced so the way of visualizing simulations as well, but the progress is slow due to difficulties in creating workable simulations models and effectively providing them to the users. Augmented Reality and Virtual Reality, the evolving technologies that have been haunting the tech industry, receiving excessive attention from the media and colossal growing are redefining the way we interact, communicate and work together. From consumer application to manufacturers these technologies are used in different sectors providing huge benefits through several applications. In this work, we demonstrate the potentials of Augmented Reality techniques in a Smart City (Smart Campus) context. A multiplatform mobile app featuring Augmented Reality capabilities connected to GIS services are developed to evaluate different features such as performance, usability, effectiveness and satisfaction of the Augmented Reality technology in the context of a Smart Campus.},\n bibtype = {article},\n author = {Ramos, Francisco and Trilles, Sergio and Torres-Sospedra, Joaquín and Perales, Francisco},\n doi = {10.3390/ijgi7120478},\n journal = {ISPRS International Journal of Geo-Information},\n number = {12}\n}
\n
\n\n\n
\n The idea of virtuality is not new, as research on visualization and simulation dates back to the early use of ink and paper sketches for alternative design comparisons. As technology has advanced so the way of visualizing simulations as well, but the progress is slow due to difficulties in creating workable simulations models and effectively providing them to the users. Augmented Reality and Virtual Reality, the evolving technologies that have been haunting the tech industry, receiving excessive attention from the media and colossal growing are redefining the way we interact, communicate and work together. From consumer application to manufacturers these technologies are used in different sectors providing huge benefits through several applications. In this work, we demonstrate the potentials of Augmented Reality techniques in a Smart City (Smart Campus) context. A multiplatform mobile app featuring Augmented Reality capabilities connected to GIS services are developed to evaluate different features such as performance, usability, effectiveness and satisfaction of the Augmented Reality technology in the context of a Smart Campus.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n El proyecto SUCRE4Kids: Una iniciativa de hardware y software libre para la introducción a la programación.\n \n \n \n\n\n \n Granell Canut, C.; and Trilles Oliver, S.\n\n\n \n\n\n\n Novatica. ISSN: 2444-6629, (240, Tecnolog\\'\\ias en las aulas). 2018.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {El proyecto SUCRE4Kids: Una iniciativa de hardware y software libre para la introducción a la programación},\n type = {article},\n year = {2018},\n id = {df46e83c-6869-3b68-8c0f-a2faaf9f4cdb},\n created = {2020-01-27T23:53:26.042Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:45.612Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {granell2018proyecto},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Granell Canut, Carlos and Trilles Oliver, Sergio},\n journal = {Novatica. ISSN: 2444-6629},\n number = {240, Tecnolog\\'\\ias en las aulas},\n keywords = {journal}\n}
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2017\n \n \n (8)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Approach to Facilitating Geospatial Data and Metadata Publication Using a Standard Geoservice.\n \n \n \n \n\n\n \n Trilles, S.; Díaz, L.; and Huerta, J.\n\n\n \n\n\n\n ISPRS International Journal of Geo-Information, 6(5): 126. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"ApproachWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Approach to Facilitating Geospatial Data and Metadata Publication Using a Standard Geoservice},\n type = {article},\n year = {2017},\n keywords = {journal},\n pages = {126},\n volume = {6},\n websites = {http://www.mdpi.com/2220-9964/6/5/126},\n id = {e02516d7-ec24-3817-a0d6-6f55ce6285b7},\n created = {2017-12-05T21:28:25.744Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.449Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Trilles2017a},\n private_publication = {true},\n abstract = {Nowadays, the existence of metadata is one of the most important aspects of effective discovery of geospatial data published in Spatial Data Infrastructures (SDIs). However, due to lack of efficient mechanisms integrated in the data workflow, to assist users in metadata generation, a lot of low quality and outdated metadata are stored in the catalogues. This paper presents a mechanism for generating and publishing metadata through a publication service. This mechanism is provided as a web service implemented with a standard interface called a web processing service, which improves interoperability between other SDI components. This work extends previous research, in which a publication service has been designed in the framework of the European Directive Infrastructure for Spatial Information in Europe (INSPIRE) as a solution to assist users in automatically publishing geospatial data and metadata in order to improve, among other aspects, SDI maintenance and usability. Also, this work adds more extra features in order to support more geospatial formats, such as sensor data.},\n bibtype = {article},\n author = {Trilles, S. and Díaz, L. and Huerta, J.},\n doi = {10.3390/ijgi6050126},\n journal = {ISPRS International Journal of Geo-Information},\n number = {5}\n}
\n
\n\n\n
\n Nowadays, the existence of metadata is one of the most important aspects of effective discovery of geospatial data published in Spatial Data Infrastructures (SDIs). However, due to lack of efficient mechanisms integrated in the data workflow, to assist users in metadata generation, a lot of low quality and outdated metadata are stored in the catalogues. This paper presents a mechanism for generating and publishing metadata through a publication service. This mechanism is provided as a web service implemented with a standard interface called a web processing service, which improves interoperability between other SDI components. This work extends previous research, in which a publication service has been designed in the framework of the European Directive Infrastructure for Spatial Information in Europe (INSPIRE) as a solution to assist users in automatically publishing geospatial data and metadata in order to improve, among other aspects, SDI maintenance and usability. Also, this work adds more extra features in order to support more geospatial formats, such as sensor data.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n A domain-independent methodology to analyze IoT data streams in real-time. A proof of concept implementation for anomaly detection from environmental data.\n \n \n \n\n\n \n Trilles, S.; Belmonte, Ò.; Schade, S.; and Huerta, J.\n\n\n \n\n\n\n International Journal of Digital Earth, 10(1): 103-120. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {A domain-independent methodology to analyze IoT data streams in real-time. A proof of concept implementation for anomaly detection from environmental data},\n type = {article},\n year = {2017},\n keywords = {journal},\n pages = {103-120},\n volume = {10},\n id = {76e82685-c987-3f91-98e5-78e85f5a4ad9},\n created = {2017-12-05T21:28:25.791Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.442Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Trilles2017},\n private_publication = {true},\n abstract = {Pushed by the Internet of Things (IoT) paradigm modern sensor networks monitor a wide range of phenomena, in areas such as environmental monitoring, health care, industrial processes, and smart cities. These networks provide a continuous pulse of the almost infinite activities that are happening in the physical space and are thus, key enablers for a Digital Earth Nervous System. Nevertheless, the rapid processing of these sensor data streams still continues to challenge traditional data-handling solutions and new approaches are being requested. We propose a generic answer to this challenge, which has the potential to support any form of distributed real-time analysis. This neutral methodology follows a brokering approach to work with different kinds of data sources and uses web-based standards to achieve interoperability. As a proof of concept, we implemented the methodology to detect anomalies in real-time and applied it to the area of environmental monitoring. The developed system is capable of detecting anomalies, generating notifications, and displaying the recent situation to the user. © 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.},\n bibtype = {article},\n author = {Trilles, Sergio and Belmonte, Òscar and Schade, Sven and Huerta, Joaquìn},\n doi = {10.1080/17538947.2016.1209583},\n journal = {International Journal of Digital Earth},\n number = {1}\n}
\n
\n\n\n
\n Pushed by the Internet of Things (IoT) paradigm modern sensor networks monitor a wide range of phenomena, in areas such as environmental monitoring, health care, industrial processes, and smart cities. These networks provide a continuous pulse of the almost infinite activities that are happening in the physical space and are thus, key enablers for a Digital Earth Nervous System. Nevertheless, the rapid processing of these sensor data streams still continues to challenge traditional data-handling solutions and new approaches are being requested. We propose a generic answer to this challenge, which has the potential to support any form of distributed real-time analysis. This neutral methodology follows a brokering approach to work with different kinds of data sources and uses web-based standards to achieve interoperability. As a proof of concept, we implemented the methodology to detect anomalies in real-time and applied it to the area of environmental monitoring. The developed system is capable of detecting anomalies, generating notifications, and displaying the recent situation to the user. © 2016 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n In-home monitoring system based on WiFi fingerprints for ambient assisted living.\n \n \n \n\n\n \n Torres-Sospedra, J.; Belmonte-Fernández, Ó.; Montoliu, R.; Trilles, S.; and Calia, A.\n\n\n \n\n\n\n Journal of Ambient Intelligence and Smart Environments, 9(5): 543-560. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {In-home monitoring system based on WiFi fingerprints for ambient assisted living},\n type = {article},\n year = {2017},\n keywords = {journal},\n pages = {543-560},\n volume = {9},\n id = {eea4af3c-921c-30be-9e58-ee5d328b9e7a},\n created = {2017-12-05T21:28:25.889Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.168Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Torres-Sospedra2017a},\n private_publication = {true},\n abstract = {This paper presents an in-home monitoring system based on WiFi fingerprints for Ambient Assisted Living. WiFi fingerprints are used to continuously locate a patient at the different rooms in her/his home. The experiments performed provide a correctly location rate of 96% in the best case of all studied scenarios. The behavior obtained by location monitoring allows to detect anomalous behavior such as long stays in rooms out of the common schedule. The main characteristics of the presented system are: A) it is robust enough to work without an own WiFi access point, which in turn means a very affordable solution; b) low obtrusiveness, as it is based on the use of a mobile phone; c) highly interoperable with other wireless connections (bluetooth, RFID) present in current mobile phones; d) alarms are triggered when any anomalous behavior is detected.},\n bibtype = {article},\n author = {Torres-Sospedra, Joaquín and Belmonte-Fernández, Óscar and Montoliu, Raúl and Trilles, Sergio and Calia, Andrea},\n doi = {10.3233/AIS-170450},\n journal = {Journal of Ambient Intelligence and Smart Environments},\n number = {5}\n}
\n
\n\n\n
\n This paper presents an in-home monitoring system based on WiFi fingerprints for Ambient Assisted Living. WiFi fingerprints are used to continuously locate a patient at the different rooms in her/his home. The experiments performed provide a correctly location rate of 96% in the best case of all studied scenarios. The behavior obtained by location monitoring allows to detect anomalous behavior such as long stays in rooms out of the common schedule. The main characteristics of the presented system are: A) it is robust enough to work without an own WiFi access point, which in turn means a very affordable solution; b) low obtrusiveness, as it is based on the use of a mobile phone; c) highly interoperable with other wireless connections (bluetooth, RFID) present in current mobile phones; d) alarms are triggered when any anomalous behavior is detected.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n An indoor positioning system based on wearables for ambient-assisted living.\n \n \n \n\n\n \n Belmonte-Fernández, Ó.; Puertas-Cabedo, A.; Torres-Sospedra, J.; Montoliu-Colás, R.; and Trilles-Oliver, S.\n\n\n \n\n\n\n Sensors (Switzerland), 17(1). 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {An indoor positioning system based on wearables for ambient-assisted living},\n type = {article},\n year = {2017},\n keywords = {journal},\n volume = {17},\n id = {9714b7c8-0a13-32b5-bdf3-6adba632b270},\n created = {2017-12-05T21:28:25.935Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.299Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Belmonte-Fernandez2017},\n private_publication = {true},\n abstract = {The urban population is growing at such a rate that by 2050 it is estimated that 84% of the world’s population will live in cities, with flats being the most common living place. Moreover, WiFi technology is present in most developed country urban areas, with a quick growth in developing countries. New Ambient-Assisted Living applications will be developed in the near future having user positioning as ground technology: elderly tele-care, energy consumption, security and the like are strongly based on indoor positioning information. We present an Indoor Positioning System for wearable devices based on WiFi fingerprinting. Smart-watch wearable devices are used to acquire the WiFi strength signals of the surrounding Wireless Access Points used to build an ensemble of Machine Learning classification algorithms. Once built, the ensemble algorithm is used to locate a user based on the WiFi strength signals provided by the wearable device. Experimental results for five different urban flats are reported, showing that the system is robust and reliable enough for locating a user at room level into his/her home. Another interesting characteristic of the presented system is that it does not require deployment of any infrastructure, and it is unobtrusive, the only device required for it to work is a smart-watch.},\n bibtype = {article},\n author = {Belmonte-Fernández, Óscar and Puertas-Cabedo, Adrian and Torres-Sospedra, Joaquín and Montoliu-Colás, Raúl and Trilles-Oliver, Sergi},\n doi = {10.3390/s17010036},\n journal = {Sensors (Switzerland)},\n number = {1}\n}
\n
\n\n\n
\n The urban population is growing at such a rate that by 2050 it is estimated that 84% of the world’s population will live in cities, with flats being the most common living place. Moreover, WiFi technology is present in most developed country urban areas, with a quick growth in developing countries. New Ambient-Assisted Living applications will be developed in the near future having user positioning as ground technology: elderly tele-care, energy consumption, security and the like are strongly based on indoor positioning information. We present an Indoor Positioning System for wearable devices based on WiFi fingerprinting. Smart-watch wearable devices are used to acquire the WiFi strength signals of the surrounding Wireless Access Points used to build an ensemble of Machine Learning classification algorithms. Once built, the ensemble algorithm is used to locate a user based on the WiFi strength signals provided by the wearable device. Experimental results for five different urban flats are reported, showing that the system is robust and reliable enough for locating a user at room level into his/her home. Another interesting characteristic of the presented system is that it does not require deployment of any infrastructure, and it is unobtrusive, the only device required for it to work is a smart-watch.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n A realistic evaluation of indoor positioning systems based on Wi-Fi fingerprinting: The 2015 EvAAL-ETRI competition.\n \n \n \n\n\n \n Torres-Sospedra, J.; Moreira, A.; Knauth, S.; Berkvens, R.; Montoliu, R.; Belmonte, O.; Trilles, S.; João Nicolau, M.; Meneses, F.; Costa, A.; Koukofikis, A.; Weyn, M.; and Peremans, H.\n\n\n \n\n\n\n Journal of Ambient Intelligence and Smart Environments, 9(2): 263-279. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {A realistic evaluation of indoor positioning systems based on Wi-Fi fingerprinting: The 2015 EvAAL-ETRI competition},\n type = {article},\n year = {2017},\n keywords = {journal},\n pages = {263-279},\n volume = {9},\n id = {9c077d20-9c9e-3b32-9c00-57f067d67a69},\n created = {2017-12-05T21:28:26.106Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:21.951Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Torres-Sospedra2017},\n private_publication = {true},\n abstract = {This paper presents results from comparing different Wi-Fi fingerprinting algorithms on the same private dataset. The algorithms where realized by independent teams in the frame of the off-site track of the EvAAL-ETRI Indoor Localization Competition which was part of the Sixth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2015). Competitors designed and validated their algorithms against the publicly available UJIIndoorLoc database which contains a huge reference- and validation data set. All competing systems were evaluated using the mean error in positioning, with penalties, using a private test dataset. The authors believe that this is the first work in which Wi-Fi fingerprinting algorithm results delivered by several independent and competing teams are fairly compared under the same evaluation conditions. The analysis also comprises a combined approach: Results indicate that the competing systems where complementary, since an ensemble that combines three competing methods reported the overall best results. © 2017 - IOS Press and the authors. All rights reserved.},\n bibtype = {article},\n author = {Torres-Sospedra, Joaquín and Moreira, Adriano and Knauth, Stefan and Berkvens, Rafael and Montoliu, Raul and Belmonte, Oscar and Trilles, Sergio and João Nicolau, Maria and Meneses, Filipe and Costa, António and Koukofikis, Athanasios and Weyn, Maarten and Peremans, Herbert},\n doi = {10.3233/AIS-170421},\n journal = {Journal of Ambient Intelligence and Smart Environments},\n number = {2}\n}
\n
\n\n\n
\n This paper presents results from comparing different Wi-Fi fingerprinting algorithms on the same private dataset. The algorithms where realized by independent teams in the frame of the off-site track of the EvAAL-ETRI Indoor Localization Competition which was part of the Sixth International Conference on Indoor Positioning and Indoor Navigation (IPIN 2015). Competitors designed and validated their algorithms against the publicly available UJIIndoorLoc database which contains a huge reference- and validation data set. All competing systems were evaluated using the mean error in positioning, with penalties, using a private test dataset. The authors believe that this is the first work in which Wi-Fi fingerprinting algorithm results delivered by several independent and competing teams are fairly compared under the same evaluation conditions. The analysis also comprises a combined approach: Results indicate that the competing systems where complementary, since an ensemble that combines three competing methods reported the overall best results. © 2017 - IOS Press and the authors. All rights reserved.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n City data 3.0 - A generic initiative to promote and assess the reuse of geographic information in cities - Early steps.\n \n \n \n\n\n \n Benitez, F.; Trilles, S.; and Huerta, J.\n\n\n \n\n\n\n In Proceedings of the International Conference on ICT, Society and Human Beings 2017 - Part of the Multi Conference on Computer Science and Information Systems 2017, pages 16-18, 2017. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {City data 3.0 - A generic initiative to promote and assess the reuse of geographic information in cities - Early steps},\n type = {inproceedings},\n year = {2017},\n keywords = {conference},\n pages = {16-18},\n id = {09ae0cdb-4313-3731-860b-9460758e0466},\n created = {2018-01-17T22:49:14.689Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:21.923Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Benitez2017},\n private_publication = {true},\n abstract = {© 2017. Nowadays, authorities around the world discuss on the way to engage their data users and involve to being part of open data initiatives in cities. Thereby, assess the re-use level of available information through those portals is a significant challenge to achieving the real potential of open data in cities. This article presents the early steps of an initiative called CityData 3,0 which is a generic strategy to improve and assess the re-use and discovery level of available open geographic data in cities. This initiative has been developed in three phases, to analyze, define and test a group of recommendations for both data consumers and data authorities. Using an on-line survey to know the current status of cities' open data portals and a set of participatory workshops in cities in Colombia (Bogotá, Medellín, Cali) and Spain (Valencia, Castellon). The project aim is to understand which barriers can affect the data selection process of data re-users and attend data producers authorities to assess the re-use level of open data initiatives in cities.},\n bibtype = {inproceedings},\n author = {Benitez, F. and Trilles, S. and Huerta, J.},\n booktitle = {Proceedings of the International Conference on ICT, Society and Human Beings 2017 - Part of the Multi Conference on Computer Science and Information Systems 2017}\n}
\n
\n\n\n
\n © 2017. Nowadays, authorities around the world discuss on the way to engage their data users and involve to being part of open data initiatives in cities. Thereby, assess the re-use level of available information through those portals is a significant challenge to achieving the real potential of open data in cities. This article presents the early steps of an initiative called CityData 3,0 which is a generic strategy to improve and assess the re-use and discovery level of available open geographic data in cities. This initiative has been developed in three phases, to analyze, define and test a group of recommendations for both data consumers and data authorities. Using an on-line survey to know the current status of cities' open data portals and a set of participatory workshops in cities in Colombia (Bogotá, Medellín, Cali) and Spain (Valencia, Castellon). The project aim is to understand which barriers can affect the data selection process of data re-users and attend data producers authorities to assess the re-use level of open data initiatives in cities.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Deployment of an open sensorized platform in a smart city context.\n \n \n \n \n\n\n \n Trilles, S.; Calia, A.; Belmonte, Ó.; Torres-Sospedra, J.; Montoliu, R.; and Huerta, J.\n\n\n \n\n\n\n Future Generation Computer Systems, 76: 221-233. 2017.\n \n\n\n\n
\n\n\n\n \n \n \"DeploymentWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Deployment of an open sensorized platform in a smart city context},\n type = {article},\n year = {2017},\n keywords = {journal},\n pages = {221-233},\n volume = {76},\n websites = {http://www.sciencedirect.com/science/article/pii/S0167739X16305519},\n id = {fd41482f-80e8-3156-8a35-6be097a2e0b4},\n created = {2018-06-17T20:13:02.374Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:48:59.881Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Trilles2016},\n source_type = {article},\n private_publication = {false},\n abstract = {The race to achieve smart cities is producing a continuous effort to adapt new developments and knowledge, for administrations and citizens. Information and Communications Technology are called on to be one of the key players to get these cities to use smart devices and sensors (Internet of Things) to know at every moment what is happening within the city, in order to make decisions that will improve the management of resources. The proliferation of these “smart things” is producing significant deployment of networks in the city context. Most of these devices are proprietary solutions, which do not offer free access to the data they provide. Therefore, this prevents the interoperability and compatibility of these solutions in the current smart city developments. This paper presents how to embed an open sensorized platform for both hardware and software in the context of a smart city, more specifically in a university campus. For this integration, GIScience comes into play, where it offers different open standards that allow full control over “smart things” as an agile and interoperable way to achieve this. To test our system, we have deployed a network of different sensorized platforms inside the university campus, in order to monitor environmental phenomena.},\n bibtype = {article},\n author = {Trilles, Sergio and Calia, Andrea and Belmonte, Óscar and Torres-Sospedra, Joaquín and Montoliu, Raúl and Huerta, Joaquín},\n doi = {10.1016/j.future.2016.11.005},\n journal = {Future Generation Computer Systems}\n}
\n
\n\n\n
\n The race to achieve smart cities is producing a continuous effort to adapt new developments and knowledge, for administrations and citizens. Information and Communications Technology are called on to be one of the key players to get these cities to use smart devices and sensors (Internet of Things) to know at every moment what is happening within the city, in order to make decisions that will improve the management of resources. The proliferation of these “smart things” is producing significant deployment of networks in the city context. Most of these devices are proprietary solutions, which do not offer free access to the data they provide. Therefore, this prevents the interoperability and compatibility of these solutions in the current smart city developments. This paper presents how to embed an open sensorized platform for both hardware and software in the context of a smart city, more specifically in a university campus. For this integration, GIScience comes into play, where it offers different open standards that allow full control over “smart things” as an agile and interoperable way to achieve this. To test our system, we have deployed a network of different sensorized platforms inside the university campus, in order to monitor environmental phenomena.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Open City Toolkit: el rol de las ciencias geoespaciales para la realización de ciudades abiertas y participativas.\n \n \n \n\n\n \n Trilles, S.; Granell, C.; Degbelo, A.; and Bhattacharya, D.\n\n\n \n\n\n\n Revista Mapping, 26(181): 42-50. 2017.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Open City Toolkit: el rol de las ciencias geoespaciales para la realización de ciudades abiertas y participativas},\n type = {article},\n year = {2017},\n keywords = {journal},\n pages = {42-50},\n volume = {26},\n id = {8933dd5e-4452-3cfc-a5ed-8623ac277da2},\n created = {2018-06-17T20:13:03.221Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:48:59.685Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {strillesOCT2017},\n source_type = {article},\n private_publication = {false},\n abstract = {(4) REVISTA MAPPING Vol. 26, 181, 42-50 enero-febrero 2017 ISSN: 1131-9100 Resumen En la literatura se distinguen dos enfoques diferentes para la trans-formación de las actuales ciudades en ciudades inteligentes: (a) ofrecer sistemas más eficientes y autónomos a través del uso de la tecnología, sensores, etc.; o (b) educar a los ciudadanos para que puedan hacer frente a los avances tecnológicos en sus ciudades. En este contexto, el proyecto GEO-C (H2020-MSCA-ITN-2014) tiene como objetivo ofrecer estos dos enfoques. Para ello se ofrece una plataforma de software abierto, llamada Open City Toolkit. Dicha plataforma es considerada como la aglutinación de herramien-tas para capacitar tanto a ciudadanos y desarrolladores como a administraciones públicas, en la participación ciudadana y lograr ciudades más abiertas e inteligentes. Entre estas herramientas se encuentran: aplicaciones, conjuntos de datos, servicios y guías. La Open City Toolkit tiene como misión integrar los avances de investigación provenientes de diferentes temáticas alrededor de las ciudades inteligentes. Dichos avances son los resultados de los diferentes temas de investigación llevados a cabo por los quince estudiantes de doctorado pertenecientes al proyecto. Por otra parte, la caja de herramientas también tiene como objetivo difundir los avances de la ciencia y tecnología geoespacial a los usuarios detallados, para hacer frente a los retos de las ciudades abiertas y participativas. Abstract The current literature points out two main approaches regarding the development and enablement of smart cities: on one hand, a technology-driven approach to make systems more efficient and autonomous through sensing technologies; on the other hand, a citizen-driven strategy to educate people so that they can cope with the technological advances in their cities. In this context, the GEO-C project (H2020-MSCA-ITN2014) aims to combine these two approaches by developing an open software platform, called Open City Toolkit. This platform is a toolbox to train citizens, developers and public administrations, to facilitate citizen participation, and to open up cities. These tools include applications, guidelines, services, and datasets. The Open City Toolkit aims to integrate different research results around smart cities. These scientific results are being generated by fifteen doctoral students who are part of the GEO-C project. Moreover, the Open City Toolkit will disseminate the progress of science and technology to end users, to meet the challenges of open and participatory cities.},\n bibtype = {article},\n author = {Trilles, Sergio and Granell, Carlos and Degbelo, Auriol and Bhattacharya, Devanjan},\n journal = {Revista Mapping},\n number = {181}\n}
\n
\n\n\n
\n (4) REVISTA MAPPING Vol. 26, 181, 42-50 enero-febrero 2017 ISSN: 1131-9100 Resumen En la literatura se distinguen dos enfoques diferentes para la trans-formación de las actuales ciudades en ciudades inteligentes: (a) ofrecer sistemas más eficientes y autónomos a través del uso de la tecnología, sensores, etc.; o (b) educar a los ciudadanos para que puedan hacer frente a los avances tecnológicos en sus ciudades. En este contexto, el proyecto GEO-C (H2020-MSCA-ITN-2014) tiene como objetivo ofrecer estos dos enfoques. Para ello se ofrece una plataforma de software abierto, llamada Open City Toolkit. Dicha plataforma es considerada como la aglutinación de herramien-tas para capacitar tanto a ciudadanos y desarrolladores como a administraciones públicas, en la participación ciudadana y lograr ciudades más abiertas e inteligentes. Entre estas herramientas se encuentran: aplicaciones, conjuntos de datos, servicios y guías. La Open City Toolkit tiene como misión integrar los avances de investigación provenientes de diferentes temáticas alrededor de las ciudades inteligentes. Dichos avances son los resultados de los diferentes temas de investigación llevados a cabo por los quince estudiantes de doctorado pertenecientes al proyecto. Por otra parte, la caja de herramientas también tiene como objetivo difundir los avances de la ciencia y tecnología geoespacial a los usuarios detallados, para hacer frente a los retos de las ciudades abiertas y participativas. Abstract The current literature points out two main approaches regarding the development and enablement of smart cities: on one hand, a technology-driven approach to make systems more efficient and autonomous through sensing technologies; on the other hand, a citizen-driven strategy to educate people so that they can cope with the technological advances in their cities. In this context, the GEO-C project (H2020-MSCA-ITN2014) aims to combine these two approaches by developing an open software platform, called Open City Toolkit. This platform is a toolbox to train citizens, developers and public administrations, to facilitate citizen participation, and to open up cities. These tools include applications, guidelines, services, and datasets. The Open City Toolkit aims to integrate different research results around smart cities. These scientific results are being generated by fifteen doctoral students who are part of the GEO-C project. Moreover, the Open City Toolkit will disseminate the progress of science and technology to end users, to meet the challenges of open and participatory cities.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2016\n \n \n (7)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience.\n \n \n \n \n\n\n \n Degbelo, A.; Granell, C.; Trilles, S.; Bhattacharya, D.; Casteleyn, S.; and Kray, C.\n\n\n \n\n\n\n ISPRS International Journal of Geo-Information, 5(2): 16. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"OpeningWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Opening up Smart Cities: Citizen-Centric Challenges and Opportunities from GIScience},\n type = {article},\n year = {2016},\n keywords = {journal},\n pages = {16},\n volume = {5},\n websites = {http://www.mdpi.com/2220-9964/5/2/16},\n publisher = {Multidisciplinary Digital Publishing Institute},\n id = {f29fde17-6045-3ad6-8607-7c738ed3ee12},\n created = {2016-06-02T07:55:34.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.320Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Degbelo2016a},\n private_publication = {false},\n abstract = {The holy grail of smart cities is an integrated, sustainable approach to improve the efficiency of the city’s operations and the quality of life of citizens. At the heart of this vision is the citizen, who is the primary beneficiary of smart city initiatives, either directly or indirectly. Despite the recent surge of research and smart cities initiatives in practice, there are still a number of challenges to overcome in realizing this vision. This position paper points out six citizen-related challenges: the engagement of citizens, the improvement of citizens’ data literacy, the pairing of quantitative and qualitative data, the need for open standards, the development of personal services, and the development of persuasive interfaces. The article furthermore advocates the use of methods and techniques from GIScience to tackle these challenges, and presents the concept of an Open City Toolkit as a way of transferring insights and solutions from GIScience to smart cities.},\n bibtype = {article},\n author = {Degbelo, Auriol and Granell, Carlos and Trilles, Sergio and Bhattacharya, Devanjan and Casteleyn, Sven and Kray, Christian},\n doi = {10.3390/ijgi5020016},\n journal = {ISPRS International Journal of Geo-Information},\n number = {2}\n}
\n
\n\n\n
\n The holy grail of smart cities is an integrated, sustainable approach to improve the efficiency of the city’s operations and the quality of life of citizens. At the heart of this vision is the citizen, who is the primary beneficiary of smart city initiatives, either directly or indirectly. Despite the recent surge of research and smart cities initiatives in practice, there are still a number of challenges to overcome in realizing this vision. This position paper points out six citizen-related challenges: the engagement of citizens, the improvement of citizens’ data literacy, the pairing of quantitative and qualitative data, the need for open standards, the development of personal services, and the development of persuasive interfaces. The article furthermore advocates the use of methods and techniques from GIScience to tackle these challenges, and presents the concept of an Open City Toolkit as a way of transferring insights and solutions from GIScience to smart cities.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n How feasible is WiFi fingerprint-based indoor positioning for in-home monitoring?.\n \n \n \n\n\n \n Torres, J.; Belmonte, O.; Montoliu, R.; Trilles, S.; and Calia, A.\n\n\n \n\n\n\n In Proceedings - 12th International Conference on Intelligent Environments, IE 2016, pages 68-75, 2016. Proceedings of the 12th International Conference on Intelligent Environment\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {How feasible is WiFi fingerprint-based indoor positioning for in-home monitoring?},\n type = {inproceedings},\n year = {2016},\n keywords = {conference},\n pages = {68-75},\n publisher = {Proceedings of the 12th International Conference on Intelligent Environment},\n id = {954d4ca5-7db3-3cd4-92ef-afccfd1f4bbb},\n created = {2017-12-05T21:28:25.846Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.068Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Torres2016},\n private_publication = {true},\n abstract = {The main objective of this paper is to obtain an answer to the research question: Is it feasible to use a WiFi fingerprint-based indoor localization method for in-home monitoring? This question is highly relevant in fields such as Aging in Place or remote healthcare where continuous monitoring is essential. To answer this question, exhaustive experiments using expert systems and machine learning techniques have been performed in seven different real scenarios. The results showed success rate of 96% in estimating the location of a person inside his/her home in the best case, and an average of 89% in the seven studied scenarios. WiFi fingerprint-based location for in-home monitoring provides a precise location inside user's home, and it is robust enough to work even without an own WiFi access point, which in turn means a very affordable solution for in-home monitoring problems.},\n bibtype = {inproceedings},\n author = {Torres, Joaquin and Belmonte, Oscar and Montoliu, Raul and Trilles, Sergio and Calia, Andrea},\n doi = {10.1109/IE.2016.19},\n booktitle = {Proceedings - 12th International Conference on Intelligent Environments, IE 2016}\n}
\n
\n\n\n
\n The main objective of this paper is to obtain an answer to the research question: Is it feasible to use a WiFi fingerprint-based indoor localization method for in-home monitoring? This question is highly relevant in fields such as Aging in Place or remote healthcare where continuous monitoring is essential. To answer this question, exhaustive experiments using expert systems and machine learning techniques have been performed in seven different real scenarios. The results showed success rate of 96% in estimating the location of a person inside his/her home in the best case, and an average of 89% in the seven studied scenarios. WiFi fingerprint-based location for in-home monitoring provides a precise location inside user's home, and it is robust enough to work even without an own WiFi access point, which in turn means a very affordable solution for in-home monitoring problems.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Open City Toolkit: hacia ciudades más abiertas y participativas.\n \n \n \n \n\n\n \n Trilles Oliver, S.; Granell Canut, C.; Degbelo, A.; and Bhattacharya, D.\n\n\n \n\n\n\n In JIDEE 2016: VII Jornadas Ibéricas de infraestructuras de datos espaciales., pages in press, 2016. \n \n\n\n\n
\n\n\n\n \n \n \"OpenWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Open City Toolkit: hacia ciudades más abiertas y participativas},\n type = {inproceedings},\n year = {2016},\n keywords = {conference},\n pages = {in press},\n websites = {http://www.jiide.org/Jiide-theme/resources/docs/pdf/articulos/26_art_UJI_OpenCityToolkit.pdf},\n city = {Barcelon, Spain},\n id = {fc980d3c-ae9d-3dbe-a98d-bd8be9bd313b},\n created = {2018-06-17T20:13:02.686Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:48:59.792Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2016open},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {En la literatura se distinguen do s enfoques diferentes para la transformación de las actuales ciudades en ciudades inteligentes: (a) ofrecer sistemas más eficientes y autónomos a través del uso de la tecnología, sensores, etc.; o (b) educar a l os ciudadanos para que puedan hacer frente a los avances tecnológicos en sus ciudades. En este contexto, el proyecto GEO - C (H2020 - MSCA - ITN - 2014) tiene como obje tivo ofrecer estos dos enfoques. P ara ell o se ofrece una plataforma de software abierto , llamada Open City Too l kit . Dicha plataforma es considerada como la aglutinación de herramientas para capacitar tanto a ciudadanos y desarrolladores como a administraciones públicas , en la participación ciudadana y lograr ciudades más abiertas e inteligentes . Entre estas herramientas se encuentran: aplicaciones, conjuntos de datos, servicios y guías . La Open City Too l kit tiene como misión integrar los avances de investigación proveniente s de diferentes temáticas alrededor de las ciudades inteligentes. Dichos avances son los resulta dos de los diferentes temas de investigación llevados a cabo por los quince estudiantes de doctorado pertenecientes al proyecto . Por otra parte, la caja de herramientas también tiene como objetivo difundir los avances de la ciencia y tecnología geo e spacial a los usuarios detallados, para hacer frente a los retos de las ciudades abiertas y participativas .},\n bibtype = {inproceedings},\n author = {Trilles Oliver, Sergio and Granell Canut, Carlos and Degbelo, Auriol and Bhattacharya, Devanjan},\n booktitle = {JIDEE 2016: VII Jornadas Ibéricas de infraestructuras de datos espaciales.}\n}
\n
\n\n\n
\n En la literatura se distinguen do s enfoques diferentes para la transformación de las actuales ciudades en ciudades inteligentes: (a) ofrecer sistemas más eficientes y autónomos a través del uso de la tecnología, sensores, etc.; o (b) educar a l os ciudadanos para que puedan hacer frente a los avances tecnológicos en sus ciudades. En este contexto, el proyecto GEO - C (H2020 - MSCA - ITN - 2014) tiene como obje tivo ofrecer estos dos enfoques. P ara ell o se ofrece una plataforma de software abierto , llamada Open City Too l kit . Dicha plataforma es considerada como la aglutinación de herramientas para capacitar tanto a ciudadanos y desarrolladores como a administraciones públicas , en la participación ciudadana y lograr ciudades más abiertas e inteligentes . Entre estas herramientas se encuentran: aplicaciones, conjuntos de datos, servicios y guías . La Open City Too l kit tiene como misión integrar los avances de investigación proveniente s de diferentes temáticas alrededor de las ciudades inteligentes. Dichos avances son los resulta dos de los diferentes temas de investigación llevados a cabo por los quince estudiantes de doctorado pertenecientes al proyecto . Por otra parte, la caja de herramientas también tiene como objetivo difundir los avances de la ciencia y tecnología geo e spacial a los usuarios detallados, para hacer frente a los retos de las ciudades abiertas y participativas .\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Toolkits for smarter cities: A brief assessment.\n \n \n \n \n\n\n \n Degbelo, A.; Bhattacharya, D.; Granell, C.; and Trilles, S.\n\n\n \n\n\n\n In García, C., R.; Caballero-Gil, P.; Burmester, M.; and Quesada-Arencibia, A., editor(s), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 10070 LNCS, pages 431-436, 2016. Springer International Publishing\n \n\n\n\n
\n\n\n\n \n \n \"ToolkitsWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Toolkits for smarter cities: A brief assessment},\n type = {inproceedings},\n year = {2016},\n keywords = {conference},\n pages = {431-436},\n volume = {10070 LNCS},\n websites = {http://dx.doi.org/10.1007/978-3-319-48799-1_47},\n publisher = {Springer International Publishing},\n city = {Cham},\n id = {ce0d28ab-7c14-3376-9aa7-3dbef8f7a6db},\n created = {2018-06-17T20:13:02.976Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:48:59.456Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Degbelo2016},\n source_type = {inbook},\n private_publication = {false},\n abstract = {The literature has offered a number of surveys regarding the concept of smart city, but few assessments of toolkits. This paper presents a short analysis of existing smart city toolkits. The analysis yields some general observations about existing toolkits. The article closes with a brief introduction of the Open City Toolkit, a toolkit currently under development which aims at addressing some of the gaps of existing toolkits.},\n bibtype = {inproceedings},\n author = {Degbelo, Auriol and Bhattacharya, Devanjan and Granell, Carlos and Trilles, Sergio},\n editor = {García, Carmelo R and Caballero-Gil, Pino and Burmester, Mike and Quesada-Arencibia, Alexis},\n doi = {10.1007/978-3-319-48799-1_47},\n booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}
\n
\n\n\n
\n The literature has offered a number of surveys regarding the concept of smart city, but few assessments of toolkits. This paper presents a short analysis of existing smart city toolkits. The analysis yields some general observations about existing toolkits. The article closes with a brief introduction of the Open City Toolkit, a toolkit currently under development which aims at addressing some of the gaps of existing toolkits.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Designing semantic application programming interfaces for open government data.\n \n \n \n \n\n\n \n Degbelo, A.; Trilles, S.; Kray, C.; Bhattacharya, D.; Schiestel, N.; Wissing, J.; and Granell, C.\n\n\n \n\n\n\n JeDEM - eJournal of eDemocracy and Open Government, 8(2): 21-58. 2016.\n \n\n\n\n
\n\n\n\n \n \n \"DesigningWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Designing semantic application programming interfaces for open government data},\n type = {article},\n year = {2016},\n keywords = {journal},\n pages = {21-58},\n volume = {8},\n websites = {http://www.jedem.org/index.php/jedem/article/view/420},\n id = {ecc03817-c5be-39e0-926c-8ebece59b074},\n created = {2018-06-17T20:13:03.083Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:48:59.302Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {jedem2016},\n source_type = {article},\n private_publication = {false},\n abstract = {Many countries currently maintain a national data catalog, which provides access to the available datasets – sometimes via an Application Programming Interface (API). These APIs play a crucial role in realizing the benefits of open data as they are the means by which data is discovered and accessed by applications that make use of it. This article proposes semantic APIs as a way of improving access to open data. A semantic API helps to retrieve datasets according to their type (e.g., sensor, climate, finance), and facilitates reasoning about and learning from data. The article examines categories of open datasets from 40 European open data catalogs to gather some insights into types of datasets which should be considered while building semantic APIs for open government data. The results show that the probability of inter-country agreement between open data catalogs is less than 30 percent, and that few categories stand out as candidates for a transnational semantic API. They stress the need for coordination - at the local, regional, and national level - between data providers of Germany, France, Spain, and the United Kingdom.},\n bibtype = {article},\n author = {Degbelo, Auriol and Trilles, Sergio and Kray, Christian and Bhattacharya, Devanjan and Schiestel, Nicholas and Wissing, Jonas and Granell, Carlos},\n journal = {JeDEM - eJournal of eDemocracy and Open Government},\n number = {2}\n}
\n
\n\n\n
\n Many countries currently maintain a national data catalog, which provides access to the available datasets – sometimes via an Application Programming Interface (API). These APIs play a crucial role in realizing the benefits of open data as they are the means by which data is discovered and accessed by applications that make use of it. This article proposes semantic APIs as a way of improving access to open data. A semantic API helps to retrieve datasets according to their type (e.g., sensor, climate, finance), and facilitates reasoning about and learning from data. The article examines categories of open datasets from 40 European open data catalogs to gather some insights into types of datasets which should be considered while building semantic APIs for open government data. The results show that the probability of inter-country agreement between open data catalogs is less than 30 percent, and that few categories stand out as candidates for a transnational semantic API. They stress the need for coordination - at the local, regional, and national level - between data providers of Germany, France, Spain, and the United Kingdom.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n D8. 5 UPDATED DATA MANAGEMENT PLAN.\n \n \n \n\n\n \n DEGBELO, A.; TRILLES, S.; BHATTACHARYA, D.; and GRANELL, C.\n\n\n \n\n\n\n Technical Report 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{\n title = {D8. 5 UPDATED DATA MANAGEMENT PLAN},\n type = {techreport},\n year = {2016},\n id = {deecfc75-dfbb-3e2b-a9c2-e4c195fd04b6},\n created = {2020-01-27T23:53:25.419Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.303Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {degbelo2016d8},\n source_type = {article},\n private_publication = {false},\n bibtype = {techreport},\n author = {DEGBELO, AURIOL and TRILLES, SERGIO and BHATTACHARYA, DEVANJAN and GRANELL, CARLOS}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n D. 8.2 OPEN CITY TOOLKIT OUTLINE.\n \n \n \n\n\n \n DEGBELO, A.; GRANELL, C.; TRILLES, S.; and BHATTACHARYA, D.\n\n\n \n\n\n\n Technical Report 2016.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@techreport{\n title = {D. 8.2 OPEN CITY TOOLKIT OUTLINE},\n type = {techreport},\n year = {2016},\n id = {8ea86434-5751-3a58-9ff2-4705cef12468},\n created = {2020-01-27T23:53:26.101Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.444Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {degbelo2016d},\n source_type = {article},\n private_publication = {false},\n bibtype = {techreport},\n author = {DEGBELO, AURIOL and GRANELL, CARLOS and TRILLES, SERGIO and BHATTACHARYA, DEVANJAN}\n}
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2015\n \n \n (4)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n SEnviro: A sensorized platform proposal using open hardware and open standards.\n \n \n \n\n\n \n Trilles, S.; Luján, A.; Belmonte, Ó.; Montoliu, R.; Torres-Sospedra, J.; and Huerta, J.\n\n\n \n\n\n\n Sensors, 15(3): 5555-5582. 2015.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {SEnviro: A sensorized platform proposal using open hardware and open standards},\n type = {article},\n year = {2015},\n keywords = {journal},\n pages = {5555-5582},\n volume = {15},\n publisher = {MDPI AG},\n id = {f486782e-54a8-34a5-a6e8-a4c77186074d},\n created = {2016-06-02T07:55:33.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.379Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Trilles2015a},\n private_publication = {false},\n abstract = {The need for constant monitoring of environmental conditions has produced an increase in the development of wireless sensor networks (WSN). The drive towards smart cities has produced the need for smart sensors to be able to monitor what is happening in our cities. This, combined with the decrease in hardware component prices and the increase in the popularity of open hardware, has favored the deployment of sensor networks based on open hardware. The new trends in Internet Protocol (IP) communication between sensor nodes allow sensor access via the Internet, turning them into smart objects (Internet of Things and Web of Things). Currently, WSNs provide data in different formats. There is a lack of communication protocol standardization, which turns into interoperability issues when connecting different sensor networks or even when connecting different sensor nodes within the same network. This work presents a sensorized platform proposal that adheres to the principles of the Internet of Things and theWeb of Things. Wireless sensor nodes were built using open hardware solutions, and communications rely on the HTTP/IP Internet protocols. The Open Geospatial Consortium (OGC) SensorThings API candidate standard was used as a neutral format to avoid interoperability issues. An environmental WSN developed following the proposed architecture was built as a proof of concept. Details on how to build each node and a study regarding energy concerns are presented.},\n bibtype = {article},\n author = {Trilles, Sergio and Luján, Alejandro and Belmonte, Óscar and Montoliu, Raúl and Torres-Sospedra, Joaquín and Huerta, Joaquín},\n doi = {10.3390/s150305555},\n journal = {Sensors},\n number = {3}\n}
\n
\n\n\n
\n The need for constant monitoring of environmental conditions has produced an increase in the development of wireless sensor networks (WSN). The drive towards smart cities has produced the need for smart sensors to be able to monitor what is happening in our cities. This, combined with the decrease in hardware component prices and the increase in the popularity of open hardware, has favored the deployment of sensor networks based on open hardware. The new trends in Internet Protocol (IP) communication between sensor nodes allow sensor access via the Internet, turning them into smart objects (Internet of Things and Web of Things). Currently, WSNs provide data in different formats. There is a lack of communication protocol standardization, which turns into interoperability issues when connecting different sensor networks or even when connecting different sensor nodes within the same network. This work presents a sensorized platform proposal that adheres to the principles of the Internet of Things and theWeb of Things. Wireless sensor nodes were built using open hardware solutions, and communications rely on the HTTP/IP Internet protocols. The Open Geospatial Consortium (OGC) SensorThings API candidate standard was used as a neutral format to avoid interoperability issues. An environmental WSN developed following the proposed architecture was built as a proof of concept. Details on how to build each node and a study regarding energy concerns are presented.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Real-Time Anomaly Detection from Environmental Data Streams.\n \n \n \n \n\n\n \n Trilles, S.; Schade, S.; Belmonte, Ó.; and Huerta, J.\n\n\n \n\n\n\n In Lecture Notes in Geoinformation and Cartography, volume 217, pages 125-144, 2015. \n \n\n\n\n
\n\n\n\n \n \n \"Real-TimeWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Real-Time Anomaly Detection from Environmental Data Streams},\n type = {inproceedings},\n year = {2015},\n keywords = {conference},\n pages = {125-144},\n volume = {217},\n websites = {http://link.springer.com/10.1007/978-3-319-16787-9_8},\n id = {7f4c5f35-68d0-35c0-b638-7df769a95c54},\n created = {2017-12-05T21:28:25.696Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.052Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Trilles2015},\n private_publication = {true},\n abstract = {© Springer International Publishing Switzerland 2015. Modern sensor networks monitor a wide range of phenomena. They are applied in environmental monitoring, health care, optimization of industrial processes, social media, smart city solutions, and many other domains. All in all, they provide a continuously pulse of the almost infinite activities that are happening in the physical space—and in cyber space. The handling of the massive amounts of generated measurements poses a series of (Big Data) challenges. Our work addresses one of these challenges: the detection of anomalies in real-time. In this paper, we propose a generic solution to this problem, and introduce a system that is capable of detecting anomalies, generating notifications, and displaying the recent situation to the user. We apply CUSUM a statistical control algorithm and adopt it so that it can be used inside the Storm framework—a robust and scalable real-time processing framework. We present a proof of concept implementation from the area of environmental monitoring.},\n bibtype = {inproceedings},\n author = {Trilles, Sergio and Schade, Sven and Belmonte, Óscar and Huerta, Joaquín},\n doi = {10.1007/978-3-319-16787-9_8},\n booktitle = {Lecture Notes in Geoinformation and Cartography}\n}
\n
\n\n\n
\n © Springer International Publishing Switzerland 2015. Modern sensor networks monitor a wide range of phenomena. They are applied in environmental monitoring, health care, optimization of industrial processes, social media, smart city solutions, and many other domains. All in all, they provide a continuously pulse of the almost infinite activities that are happening in the physical space—and in cyber space. The handling of the massive amounts of generated measurements poses a series of (Big Data) challenges. Our work addresses one of these challenges: the detection of anomalies in real-time. In this paper, we propose a generic solution to this problem, and introduce a system that is capable of detecting anomalies, generating notifications, and displaying the recent situation to the user. We apply CUSUM a statistical control algorithm and adopt it so that it can be used inside the Storm framework—a robust and scalable real-time processing framework. We present a proof of concept implementation from the area of environmental monitoring.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Aproximación al tratamiento completo del ciclo de vida sobre datos provenientes de sensores mediante estándares GIS.\n \n \n \n\n\n \n Trilles Oliver, S.; and others\n\n\n \n\n\n\n Ph.D. Thesis, 2015.\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@phdthesis{\n title = {Aproximación al tratamiento completo del ciclo de vida sobre datos provenientes de sensores mediante estándares GIS},\n type = {phdthesis},\n year = {2015},\n institution = {Universitat Jaume I},\n id = {daa136c5-7514-3174-af73-2fe726ee89d1},\n created = {2020-01-27T23:53:25.764Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:45.727Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2015aproximacion},\n source_type = {phdthesis},\n private_publication = {false},\n bibtype = {phdthesis},\n author = {Trilles Oliver, Sergio and others, undefined}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Comprehensive analysis of distance and similarity measures for Wi-Fi fingerprinting indoor positioning systems.\n \n \n \n \n\n\n \n Torres-Sospedra, J.; Montoliu, R.; Trilles, S.; Belmonte, Ó.; and Huerta, J.\n\n\n \n\n\n\n Expert Systems with Applications, 42(23): 9263-9278. 12 2015.\n \n\n\n\n
\n\n\n\n \n \n \"ComprehensiveWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{\n title = {Comprehensive analysis of distance and similarity measures for Wi-Fi fingerprinting indoor positioning systems},\n type = {article},\n year = {2015},\n pages = {9263-9278},\n volume = {42},\n websites = {http://linkinghub.elsevier.com/retrieve/pii/S0957417415005527},\n month = {12},\n id = {9022787d-7f5d-347f-a557-a3c040ff6fc4},\n created = {2020-01-27T23:53:25.982Z},\n accessed = {2016-03-16},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.155Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Torres-Sospedra2015a},\n private_publication = {false},\n bibtype = {article},\n author = {Torres-Sospedra, Joaquín and Montoliu, Raúl and Trilles, Sergio and Belmonte, Óscar and Huerta, Joaquín},\n doi = {10.1016/j.eswa.2015.08.013},\n journal = {Expert Systems with Applications},\n number = {23}\n}
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2014\n \n \n (5)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Mobile access to sensor networks by using GIS standards and RESTful services.\n \n \n \n\n\n \n Trilles, S.; Belmonte, O.; Diaz, L.; and Huerta, J.\n\n\n \n\n\n\n IEEE Sensors Journal, 14(12): 4143-4153. 2014.\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Mobile access to sensor networks by using GIS standards and RESTful services},\n type = {article},\n year = {2014},\n keywords = {journal},\n pages = {4143-4153},\n volume = {14},\n publisher = {Institute of Electrical and Electronics Engineers Inc.},\n id = {d7ca3d05-a0aa-3246-a947-5d407cda6fa8},\n created = {2016-06-02T07:55:33.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.083Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Trilles2014a},\n private_publication = {false},\n abstract = {There is an increasing deployment of sensor networks that measure the physical state of the environment. These networks provide large volumes of data in many different formats, resolutions, and scales. There are different types and character of data: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. Current sensor networks publish this data in different formats. This implies not offering standard access to different data sources. These varieties of formats lead to an interoperability problem. Also, access to these sources is not fast and agile; it prevents access through mobile devices. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. In this way, these data can be employed by different devices and with diverse context requirements, such as specific location and time. To address this problem, geographic information system services, such as the sensor observation service, in conjunction with representational state transfer architecture are used. A standard-based solution that increases interoperability is presented. It also allows a better integration of data that has already been published in different semistructured formats in order to be used by various platforms (web or mobile). Furthermore, this system adds value to original sensor data in order to assist in the decision making process. Finally, to illustrate how to use these services, a mobile application that shows the hot-spots following air quality index has been developed.},\n bibtype = {article},\n author = {Trilles, Sergio and Belmonte, Oscar and Diaz, Laura and Huerta, Joaquin},\n doi = {10.1109/JSEN.2014.2339931},\n journal = {IEEE Sensors Journal},\n number = {12}\n}
\n
\n\n\n
\n There is an increasing deployment of sensor networks that measure the physical state of the environment. These networks provide large volumes of data in many different formats, resolutions, and scales. There are different types and character of data: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. Current sensor networks publish this data in different formats. This implies not offering standard access to different data sources. These varieties of formats lead to an interoperability problem. Also, access to these sources is not fast and agile; it prevents access through mobile devices. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. In this way, these data can be employed by different devices and with diverse context requirements, such as specific location and time. To address this problem, geographic information system services, such as the sensor observation service, in conjunction with representational state transfer architecture are used. A standard-based solution that increases interoperability is presented. It also allows a better integration of data that has already been published in different semistructured formats in order to be used by various platforms (web or mobile). Furthermore, this system adds value to original sensor data in order to assist in the decision making process. Finally, to illustrate how to use these services, a mobile application that shows the hot-spots following air quality index has been developed.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n El proyecto ERMES : servicios de seguimiento del cultivo de arroz basados en una IDE.\n \n \n \n\n\n \n Trilles Oliver, S.; Casteleyn, S.; Granell Canut, C.; Guerrero, I.; Huerta Guijarro, J.; Bordogna, G.; Pepe, M.; Busetto, L.; and Boschetto, M.\n\n\n \n\n\n\n In JIDEE 2014: V Jornadas Ibéricas de infraestructuras de datos espaciales. Lisboa, November 2014, pages 1-15, 2014. V Jornadas Ibéricas de las Infraestructuras de Datos Espaciales (JIIDE 2014)\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {El proyecto ERMES : servicios de seguimiento del cultivo de arroz basados en una IDE},\n type = {inproceedings},\n year = {2014},\n keywords = {conference},\n pages = {1-15},\n publisher = {V Jornadas Ibéricas de las Infraestructuras de Datos Espaciales (JIIDE 2014)},\n id = {1ab03b5d-a290-3bb0-8c92-4983748ac13c},\n created = {2018-06-17T20:13:03.368Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:49:00.466Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2014ermes},\n source_type = {conference},\n private_publication = {false},\n abstract = {En los tiempos actuales, ante el aumento de la demanda de alimentos, el incremento del precio de ellos y la adopción de nuevas técnicas para la agricultura, es más importante la optimización de las explotaciones agrícolas. Ante este escenario, nace el proyecto Europeo ERMES (An Earth Observation Model based Rice Information Service, http://www.ERMES-fp7space.eu/), dentro del programa FP7, el cual tiene como objetivo principal proporcionar un conjunto de herramientas y servicios que ayuden a cooperativas y agricultores en las tareas de seguimiento del cultivo de arroz y acumular paulatinamente evidencias basadas en datos científicos, geográficos, de la observación de la tierra, e incluso datos proporcionados por los propios agricultores (usuarios) para facilitar la toma de decisiones. Esta tarea implica necesariamente la utilización e integración de diversas fuentes de datos así como también de múltiples técnicas de observación de la tierra, modelos de cultivos y herramientas TIC para el desarrollo Web y en entornos móvil. EL proyecto ERMES se dirige a dos tipos de usuarios bien diferenciados que realizarán usos distintos de los resultados del proyecto: un uso local dirigido a los agricultores (productores) y un uso regional dirigido a las autoridades encargadas de la supervisión y gestión del cultivo del arroz en una región determinada (por ejemplo cooperativas). El ámbito de aplicación del proyecto corresponde a los principales productores de arroz a nivel Europeo— Italia, España y Grecia (en ese orden), de donde son los principales socios del proyecto. A parte de la diversidad de datos y técnicas a emplear, el proyecto se enfrenta a las necesidades particulares de escala/resolución (necesidades del usuario local frente al usuario regional) y de escalado de la solución (misma aplicación para tres casos de uso distintos en tres países). Todos estos requisitos hacen de ERMES un proyecto especialmente atractivo para validar las capacidades de las Infraestructuras de Datos Espaciales. Durante el inicio del proyecto se han definido tareas de consulta de requisitos con los usuarios del proyecto (tanto regionales como locales), que den pie a la captura y definición pormenorizada de los requisitos funcionales de la solución final del proyecto, los cuales servirán para el diseño de los servicios finales para el seguimiento de cultivos del arroz. Dichos servicios seguirán los fundamentos INSPIRE y se estructurarán en base a los servicios básicos y estándares claves de una IDE.},\n bibtype = {inproceedings},\n author = {Trilles Oliver, Sergio and Casteleyn, Sven and Granell Canut, Carlos and Guerrero, Ignacio and Huerta Guijarro, Joaquín and Bordogna, Gloria and Pepe, Monica and Busetto, Lorenzo and Boschetto, Mirco},\n booktitle = {JIDEE 2014: V Jornadas Ibéricas de infraestructuras de datos espaciales. Lisboa, November 2014}\n}
\n
\n\n\n
\n En los tiempos actuales, ante el aumento de la demanda de alimentos, el incremento del precio de ellos y la adopción de nuevas técnicas para la agricultura, es más importante la optimización de las explotaciones agrícolas. Ante este escenario, nace el proyecto Europeo ERMES (An Earth Observation Model based Rice Information Service, http://www.ERMES-fp7space.eu/), dentro del programa FP7, el cual tiene como objetivo principal proporcionar un conjunto de herramientas y servicios que ayuden a cooperativas y agricultores en las tareas de seguimiento del cultivo de arroz y acumular paulatinamente evidencias basadas en datos científicos, geográficos, de la observación de la tierra, e incluso datos proporcionados por los propios agricultores (usuarios) para facilitar la toma de decisiones. Esta tarea implica necesariamente la utilización e integración de diversas fuentes de datos así como también de múltiples técnicas de observación de la tierra, modelos de cultivos y herramientas TIC para el desarrollo Web y en entornos móvil. EL proyecto ERMES se dirige a dos tipos de usuarios bien diferenciados que realizarán usos distintos de los resultados del proyecto: un uso local dirigido a los agricultores (productores) y un uso regional dirigido a las autoridades encargadas de la supervisión y gestión del cultivo del arroz en una región determinada (por ejemplo cooperativas). El ámbito de aplicación del proyecto corresponde a los principales productores de arroz a nivel Europeo— Italia, España y Grecia (en ese orden), de donde son los principales socios del proyecto. A parte de la diversidad de datos y técnicas a emplear, el proyecto se enfrenta a las necesidades particulares de escala/resolución (necesidades del usuario local frente al usuario regional) y de escalado de la solución (misma aplicación para tres casos de uso distintos en tres países). Todos estos requisitos hacen de ERMES un proyecto especialmente atractivo para validar las capacidades de las Infraestructuras de Datos Espaciales. Durante el inicio del proyecto se han definido tareas de consulta de requisitos con los usuarios del proyecto (tanto regionales como locales), que den pie a la captura y definición pormenorizada de los requisitos funcionales de la solución final del proyecto, los cuales servirán para el diseño de los servicios finales para el seguimiento de cultivos del arroz. Dichos servicios seguirán los fundamentos INSPIRE y se estructurarán en base a los servicios básicos y estándares claves de una IDE.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Agile access to sensor network.\n \n \n \n\n\n \n Trilles Oliver, S.; Belmonte Fernández, Ó.; Díaz Sánchez, L.; and uerta Guijarro, J.\n\n\n \n\n\n\n In Schade, S.; Granell Granell, C.; and Huerta-Guijarro, J., editor(s), Connecting a Digital Europe through Location and Place. AGILE 2014 Conference, 03-06 June 2014, Castellón, Spain, volume 03-06, 6 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Agile access to sensor network},\n type = {inproceedings},\n year = {2014},\n keywords = {conference},\n volume = {03-06},\n month = {6},\n city = {Castellon (Spain)},\n id = {b067933a-e846-35e1-b097-536f84dbd178},\n created = {2018-06-17T20:13:03.384Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:49:00.246Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2014agile},\n source_type = {article},\n private_publication = {false},\n abstract = {The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. This way, this data can be employed by different devices and with diverse context requirements, such as specific location and time. To address this problem Geographic Information System (GIS) services, such as the Sensor Observation Service (SOS), in conjunction with Representational State Transfer (RESTFul) architecture are used. A standard-based solution that increases interoperability is presented. It also allows for a better integration of data already published in different semi-structured formats in order to be used by various platforms (web or mobile). Furthermore, this system adds value to original sensor data in order to assist in the decision making process.},\n bibtype = {inproceedings},\n author = {Trilles Oliver, Sergio and Belmonte Fernández, Óscar and Díaz Sánchez, Laura and uerta Guijarro, Joaquín},\n editor = {Schade, Sven and Granell Granell, Carlos and Huerta-Guijarro, Joaquín},\n booktitle = {Connecting a Digital Europe through Location and Place. AGILE 2014 Conference, 03-06 June 2014, Castellón, Spain}\n}
\n
\n\n\n
\n The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. This way, this data can be employed by different devices and with diverse context requirements, such as specific location and time. To address this problem Geographic Information System (GIS) services, such as the Sensor Observation Service (SOS), in conjunction with Representational State Transfer (RESTFul) architecture are used. A standard-based solution that increases interoperability is presented. It also allows for a better integration of data already published in different semi-structured formats in order to be used by various platforms (web or mobile). Furthermore, this system adds value to original sensor data in order to assist in the decision making process.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n How Earth Observation, Crop Modeling and ICT tools can help rice cultivation : the ERMES project.\n \n \n \n\n\n \n Casteleyn, S.; Granell Canut, C.; Trilles Oliver, S.; Huerta Guijarro, J.; Boschetti, M.; Busetto, L.; Pepe, M.; Katsantonis, D.; Confalonieri, R.; Holecz, F.; García Haro, J.; and Gitas, I.\n\n\n \n\n\n\n In Schade, S.; Granell Granell, C.; and Huerta-Guijarro, J., editor(s), Connecting a Digital Europe through Location and Place. Proceedings of the AGILE'2014 International Conference on Geographic Information Science, volume 03-06, 6 2014. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {How Earth Observation, Crop Modeling and ICT tools can help rice cultivation : the ERMES project},\n type = {inproceedings},\n year = {2014},\n keywords = {conference},\n volume = {03-06},\n month = {6},\n city = {Castellon (Spain)},\n id = {d3d39804-a61b-3129-80a5-39cb06a8125b},\n created = {2018-06-17T20:13:03.481Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:49:00.303Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {casteleyn2014how},\n source_type = {article},\n private_publication = {false},\n abstract = {Due to pressure of food demand, increased price competition and demand for sustainable farming practices, it’s increasingly important to optimize agricultural practices. The European FP7 project ERMES focuses specifically on rice cultivation, and aims to combine earth observation, crop modelling and ICT techniques and tools to optimize agro-practices and ultimately, support environmentally and economically sustainable farming systems. ERMES combines partners from Europe’s three main rice-producing countries: Italy (51,3%), Spain (25,4%) and Greece (7%)1. With end-users and case studies in these three countries, the ERMES project is perfectly positioned to chart current practices and innovation potential in the European rice cultivation market. In this work, we focus on how ERMES plans to develop and exploit modern ICT tools and techniques to assist rice farmers to streamline the rice cultivation process on one hand, and local authorities to better regulate, control and oversee rice cultivation on the other hand.},\n bibtype = {inproceedings},\n author = {Casteleyn, Sven and Granell Canut, Carlos and Trilles Oliver, Sergi and Huerta Guijarro, Joaquín and Boschetti, Mirco and Busetto, Lorenzo and Pepe, Monica and Katsantonis, Dimitrios and Confalonieri, Roberto and Holecz, Francesco and García Haro, Javier and Gitas, Ioannis},\n editor = {Schade, Sven and Granell Granell, Carlos and Huerta-Guijarro, Joaquín},\n booktitle = {Connecting a Digital Europe through Location and Place. Proceedings of the AGILE'2014 International Conference on Geographic Information Science}\n}
\n
\n\n\n
\n Due to pressure of food demand, increased price competition and demand for sustainable farming practices, it’s increasingly important to optimize agricultural practices. The European FP7 project ERMES focuses specifically on rice cultivation, and aims to combine earth observation, crop modelling and ICT techniques and tools to optimize agro-practices and ultimately, support environmentally and economically sustainable farming systems. ERMES combines partners from Europe’s three main rice-producing countries: Italy (51,3%), Spain (25,4%) and Greece (7%)1. With end-users and case studies in these three countries, the ERMES project is perfectly positioned to chart current practices and innovation potential in the European rice cultivation market. In this work, we focus on how ERMES plans to develop and exploit modern ICT tools and techniques to assist rice farmers to streamline the rice cultivation process on one hand, and local authorities to better regulate, control and oversee rice cultivation on the other hand.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring.\n \n \n \n\n\n \n Trilles Oliver, S.; Belmonte Fernández, Ó.; and Huerta Guijarro, J.\n\n\n \n\n\n\n In Omatu, S and Bersini, H and Corchado, JM and Rodriguez, S and Pawlewski, P and Bucciarelli, E., editor(s), DCAI 2014: 11th International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Spain, JUN 04-06, 2014, volume 290, of Advances in Intelligent Systems and Computing, pages 287-294, 2014. SPRINGER-VERLAG BERLIN\n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Mobile Access to Sensor Network: A Use Case on Wildfire Monitoring},\n type = {inproceedings},\n year = {2014},\n keywords = {CITYBENCH},\n pages = {287-294},\n volume = {290},\n publisher = {SPRINGER-VERLAG BERLIN},\n city = {HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY},\n series = {Advances in Intelligent Systems and Computing},\n id = {f8dff2b4-73b7-37e9-8a6d-481511c703c4},\n created = {2020-01-27T23:53:25.802Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2020-06-09T16:19:45.754Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {ISI:000342905800034},\n source_type = {inproceedings},\n user_context = {Proceedings Paper},\n private_publication = {false},\n abstract = {These networks provide large volumes of data in many different formats, resolution and scales. The data are of different types and character: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. To address this problem Geographic Information System (GIS) services, such as the Sensor Observation Service (SOS), in conjunction with Representational State Transfer (RESTFul) architecture are used. A standard-based solution that increases interoperability is presented. It also allows for a better integration of data already published in different semi-structured formats in order to be used by various platforms (web or mobile). Finally, we apply this system in a use case as wildfire monitoring, so it offers determine the state of a wildfire.},\n bibtype = {inproceedings},\n author = {Trilles Oliver, Sergio and Belmonte Fernández, Óscar and Huerta Guijarro, Joaquín},\n editor = {Omatu, S and Bersini, H and Corchado, JM and Rodriguez, S and Pawlewski, P and Bucciarelli, E},\n doi = {10.1007/978-3-319-07593-8_34},\n booktitle = {DCAI 2014: 11th International Symposium on Distributed Computing and Artificial Intelligence, Salamanca, Spain, JUN 04-06, 2014}\n}
\n
\n\n\n
\n These networks provide large volumes of data in many different formats, resolution and scales. The data are of different types and character: from meteorological conditions to air quality and the concentrations of pollutants due to human activity, such as transportation or other industry-related actions. The work in this paper aims at increasing the interoperability and improving accessibility of data provided by sensor networks. To address this problem Geographic Information System (GIS) services, such as the Sensor Observation Service (SOS), in conjunction with Representational State Transfer (RESTFul) architecture are used. A standard-based solution that increases interoperability is presented. It also allows for a better integration of data already published in different semi-structured formats in order to be used by various platforms (web or mobile). Finally, we apply this system in a use case as wildfire monitoring, so it offers determine the state of a wildfire.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2013\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Integration of environmental models in spatial data infrastructures: A use case in wildfire risk prediction.\n \n \n \n \n\n\n \n Trilles, S.; Juan, P.; Díaz, L.; Aragó, P.; and Huerta, J.\n\n\n \n\n\n\n IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 6(1): 128-138. 2013.\n \n\n\n\n
\n\n\n\n \n \n \"IntegrationWebsite\n  \n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n\n\n\n
\n
@article{\n title = {Integration of environmental models in spatial data infrastructures: A use case in wildfire risk prediction},\n type = {article},\n year = {2013},\n keywords = {Disaster management,Forest fire,Geoprocessing,Multi-scale forest fire prediction,Risk prediction,Spatial information system,Spatial point processes,Wildfire},\n pages = {128-138},\n volume = {6},\n websites = {http://ieeexplore.ieee.org/lpdocs/epic03/wrapper.htm?arnumber=6415305},\n id = {f8eb811d-e16f-3c8a-a443-378ae6b9ff36},\n created = {2016-06-02T07:55:33.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2022-01-13T07:46:34.627Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Trilles2013},\n short_title = {Selected Topics in Applied Earth Observations and },\n private_publication = {false},\n abstract = {Achieving sustainable growth in our society implies monitoring our environment in order to measure human impact and detect relevant changes and detrimental driving factors such as wildfires and desertification. In order for experts to perform environmental modelling they need to be able to access data and models in an efficient and interoperable manner as well as share their findings to assist other professionals in decision making. In the current information society, distributed information systems are essential for sharing digital resources such as data and tools. Advances in Service-Oriented Architectures (SOA) allow for the distribution and accessibility of on-line resources such as data and tools, which served through standards-based services improve the sharing of data, models and models results. This research presents a service-oriented application that addresses the issues of interoperable access to environmental modelling capabilities as well as the mechanisms to share their results an efficiently throughout interoperable components. The aim is twofold, first we present different models for multi-scale forest fire risk prediction based on spatial point processes, and second we provide this functionality as a distributed application, that, based on international standards, such as those offered by the Open Geospatial Consortium (OGC), improves interoperable access to these models as well as the publication of the results to be shared with other interested stakeholders. © 2013 IEEE.},\n bibtype = {article},\n author = {Trilles, Sergio and Juan, Pablo and Díaz, Laura and Aragó, Pau and Huerta, Joaquín},\n doi = {10.1109/JSTARS.2012.2236538},\n journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},\n number = {1}\n}
\n
\n\n\n
\n Achieving sustainable growth in our society implies monitoring our environment in order to measure human impact and detect relevant changes and detrimental driving factors such as wildfires and desertification. In order for experts to perform environmental modelling they need to be able to access data and models in an efficient and interoperable manner as well as share their findings to assist other professionals in decision making. In the current information society, distributed information systems are essential for sharing digital resources such as data and tools. Advances in Service-Oriented Architectures (SOA) allow for the distribution and accessibility of on-line resources such as data and tools, which served through standards-based services improve the sharing of data, models and models results. This research presents a service-oriented application that addresses the issues of interoperable access to environmental modelling capabilities as well as the mechanisms to share their results an efficiently throughout interoperable components. The aim is twofold, first we present different models for multi-scale forest fire risk prediction based on spatial point processes, and second we provide this functionality as a distributed application, that, based on international standards, such as those offered by the Open Geospatial Consortium (OGC), improves interoperable access to these models as well as the publication of the results to be shared with other interested stakeholders. © 2013 IEEE.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Aplicación de modelos de procesos puntuales para la caracterización espacio-temporal del régimen de incendios en el este de España.\n \n \n \n\n\n \n Aragó Galindo, P.; Salvador, P.; Juan, P.; Díaz Avalos, C.; Serra, L.; Sáez, L.; Varga, D.; and Trilles Oliver, S.\n\n\n \n\n\n\n In VI Congreso forestal español. vitoria, Junio 2013, 2013. \n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Aplicación de modelos de procesos puntuales para la caracterización espacio-temporal del régimen de incendios en el este de España},\n type = {inproceedings},\n year = {2013},\n keywords = {conference},\n id = {98c22f6e-ebc6-3fbc-b731-4411edf3e5f8},\n created = {2018-06-17T20:13:03.171Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:48:59.592Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {arago2013aplicacion},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {Las incidencias de los modelos espacio-temporal de los incendios forestales y sus relaciones con las variables meteorológicas, geográficas y usos del suelo son analizadas en este trabajo. Estas relaciones pueden ser tratadas en un incendio forestal como componentes en los modelos de procesos puntuales es decir como actividades separadas. En este trabajo se muestran algunas técnicas para el análisis de modelos espaciales puntuales que están disponibles gracias a los recientes desarrollos de aplicaciones informáticas en los modelos de procesos puntuales. Estos avances permiten realizar un análisis exploratorio de los datos de forma conveniente, ajuste de los datos a un modelo y evaluación del modelo. La discusión de estas técnicas se realiza conjuntamente dentro del contexto de algunos análisis preliminares de una colección de datos que son de un considerable interés por ellos mismos. Este conjunto de datos consiste en los registros de incendios forestales en la provincia de Castellón (años del 2001 al 2006) y Cataluña (2001 al 2008). Los resultados de estos trabajos apuntan a la posibilidad de zonificar las áreas forestales en zonas de mayor o menor riesgo e intensidad de incendio forestal, con lo que se podría planificar las actuaciones preventivas de una forma mas efectiva y acotada.},\n bibtype = {inproceedings},\n author = {Aragó Galindo, Pau and Salvador, P. and Juan, P. and Díaz Avalos, C. and Serra, L. and Sáez, L. and Varga, D. and Trilles Oliver, Sergio},\n booktitle = {VI Congreso forestal español. vitoria, Junio 2013}\n}
\n
\n\n\n
\n Las incidencias de los modelos espacio-temporal de los incendios forestales y sus relaciones con las variables meteorológicas, geográficas y usos del suelo son analizadas en este trabajo. Estas relaciones pueden ser tratadas en un incendio forestal como componentes en los modelos de procesos puntuales es decir como actividades separadas. En este trabajo se muestran algunas técnicas para el análisis de modelos espaciales puntuales que están disponibles gracias a los recientes desarrollos de aplicaciones informáticas en los modelos de procesos puntuales. Estos avances permiten realizar un análisis exploratorio de los datos de forma conveniente, ajuste de los datos a un modelo y evaluación del modelo. La discusión de estas técnicas se realiza conjuntamente dentro del contexto de algunos análisis preliminares de una colección de datos que son de un considerable interés por ellos mismos. Este conjunto de datos consiste en los registros de incendios forestales en la provincia de Castellón (años del 2001 al 2006) y Cataluña (2001 al 2008). Los resultados de estos trabajos apuntan a la posibilidad de zonificar las áreas forestales en zonas de mayor o menor riesgo e intensidad de incendio forestal, con lo que se podría planificar las actuaciones preventivas de una forma mas efectiva y acotada.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Acceso ágil a redes de sensores.\n \n \n \n\n\n \n Trilles Oliver, S.; Diaz Sánchez, L.; and Huerta Guijarro, J.\n\n\n \n\n\n\n In IGN, editor(s), IV Jornadas Ibéricas de las Infraestructuras de Datos Espaciales (JIIDE 2013), 2013. IV Jornadas Ibéricas de las Infraestructuras de Datos Espaciales (JIIDE 2013)\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Acceso ágil a redes de sensores},\n type = {inproceedings},\n year = {2013},\n keywords = {conference},\n publisher = {IV Jornadas Ibéricas de las Infraestructuras de Datos Espaciales (JIIDE 2013)},\n city = {Toledo},\n id = {17f037a0-7ec0-30c3-9bc7-30a5c07393a8},\n created = {2018-06-17T20:13:03.450Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:49:00.140Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2013acceso},\n source_type = {book},\n private_publication = {false},\n abstract = {Estamos siendo testigos del creciente despliegue de redes de sensores que miden el estado físico del medio ambiente en el que vivimos. Estas redes proporcionan grandes volúmenes de datos en muchos formatos diferentes, resoluciones y escalas. Los datos pueden ser de diferente tipo y carácter, en este artículo se trabaja únicamente con dos tipos, meteorológicos y de calidad del aire. En el presente trabajo, se pretende incrementar la interoperabilidad y accesibilidad de estos datos para que los usuarios puedan utilizarlos en diferentes escenarios y con variedad de necesidades dependiendo del lugar y tiempo específico. El objetivo deriva en la publicación de estos tipos de datos ambientales y facilitando el acceso a ellos, mediante servicios que proporcionan una entrada estructurada para el consumo en dispositivos ligeros, como los teléfonos móviles.},\n bibtype = {inproceedings},\n author = {Trilles Oliver, Sergio and Diaz Sánchez, Laura and Huerta Guijarro, Joaquín},\n editor = {IGN, undefined},\n booktitle = {IV Jornadas Ibéricas de las Infraestructuras de Datos Espaciales (JIIDE 2013)}\n}
\n
\n\n\n
\n Estamos siendo testigos del creciente despliegue de redes de sensores que miden el estado físico del medio ambiente en el que vivimos. Estas redes proporcionan grandes volúmenes de datos en muchos formatos diferentes, resoluciones y escalas. Los datos pueden ser de diferente tipo y carácter, en este artículo se trabaja únicamente con dos tipos, meteorológicos y de calidad del aire. En el presente trabajo, se pretende incrementar la interoperabilidad y accesibilidad de estos datos para que los usuarios puedan utilizarlos en diferentes escenarios y con variedad de necesidades dependiendo del lugar y tiempo específico. El objetivo deriva en la publicación de estos tipos de datos ambientales y facilitando el acceso a ellos, mediante servicios que proporcionan una entrada estructurada para el consumo en dispositivos ligeros, como los teléfonos móviles.\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2012\n \n \n (5)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Assisted Generation and Publication of Geospatial Data and Metadata.\n \n \n \n \n\n\n \n Trilles Oliver, S.; Díaz Sánchez, L.; Gil Altaba, J.; and Huerta Guijarro, J.\n\n\n \n\n\n\n In Bridging the Geographic Information Sciences International AGILE2012 Conference Avignon France april 24- 27, 2012, volume 9, pages 105-110, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"AssistedWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Assisted Generation and Publication of Geospatial Data and Metadata},\n type = {inproceedings},\n year = {2012},\n keywords = {conference},\n pages = {105-110},\n volume = {9},\n websites = {https://agile-online.org/Conference_Paper/CDs/agile_2012/proceedings/papers/Paper_Trilles_Assisted_Generation_and_Publication_of_Geospatial_Metadata_2012.pdf},\n id = {6c91f65c-e20c-3777-ad50-5a95a791c09c},\n created = {2016-06-02T07:55:33.000Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.207Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {TrillesOliver2012},\n private_publication = {false},\n abstract = {Today, the existence of metadata is one of the most important keys for an effective discovery of geospatial data published in Spatial Data Infrastructures (SDI). However, due to lack of efficient mechanisms, integrated in user daily workflow, to assist users in generating metadata, little metadata is produced. This paper presents a mechanism for generating and publishing metadata with a Publication Service. This mechanism is provided as a web service implemented with a standard-base interface, the Web Processing Service (WPS) specification to improve its interoperability with other SDI components. This paper extends previous research when designing a Publication Service in the framework of the European Directive INSPIRE as a solution to assist users in publishing geospatial data and metadata automatically in order to improve, among others, SDI maintenance and usability.},\n bibtype = {inproceedings},\n author = {Trilles Oliver, Sergio and Díaz Sánchez, Laura and Gil Altaba, José and Huerta Guijarro, Joaquín},\n booktitle = {Bridging the Geographic Information Sciences International AGILE2012 Conference Avignon France april 24- 27, 2012}\n}
\n
\n\n\n
\n Today, the existence of metadata is one of the most important keys for an effective discovery of geospatial data published in Spatial Data Infrastructures (SDI). However, due to lack of efficient mechanisms, integrated in user daily workflow, to assist users in generating metadata, little metadata is produced. This paper presents a mechanism for generating and publishing metadata with a Publication Service. This mechanism is provided as a web service implemented with a standard-base interface, the Web Processing Service (WPS) specification to improve its interoperability with other SDI components. This paper extends previous research when designing a Publication Service in the framework of the European Directive INSPIRE as a solution to assist users in publishing geospatial data and metadata automatically in order to improve, among others, SDI maintenance and usability.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n Mobile application for noise pollution monitoring through gamification techniques.\n \n \n \n\n\n \n Martí, I., G.; Rodríguez, L., E.; Benedito, M.; Trilles, S.; Beltrán, A.; Díaz, L.; and Huerta, J.\n\n\n \n\n\n\n In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), volume 7522 LNCS, pages 562-571, 2012. \n \n\n\n\n
\n\n\n\n \n\n \n \n doi\n  \n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Mobile application for noise pollution monitoring through gamification techniques},\n type = {inproceedings},\n year = {2012},\n keywords = {conference},\n pages = {562-571},\n volume = {7522 LNCS},\n id = {5933b9c1-a797-351a-89f1-71e6fb95e439},\n created = {2017-12-05T21:28:26.003Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.210Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {Marti2012},\n private_publication = {true},\n abstract = {Full data coverage of urban environments is crucial to monitor the status of the area to detect, for instance, trends and detrimental environmental changes. Collecting observations related to environmental factors such as noise pollution in urban environments through classical approaches implies the deployment of Sensor Networks. The cost of deployment and maintenance of such infrastructure might be relatively high for local and regional governments. On the other hand recent mass-market mobile devices such as smartphones are full of sensors. For instance, it is possible to perform measurements of noise through its microphone. Therefore they become low-cost measuring devices that many citizens have in their pocket. In this paper we present an approach for gathering noise pollution data by using mobile applications. The applications are designed following gamification techniques to encourage users to participate using their personal smartphones. In this way the users are involved in taking and sharing noise pollution measurements in their cities that other stakeholders can use in their analysis and decision making processes.},\n bibtype = {inproceedings},\n author = {Martí, Irene Garcia and Rodríguez, Luis E. and Benedito, Mauricia and Trilles, Sergi and Beltrán, Arturo and Díaz, Laura and Huerta, Joaquín},\n doi = {10.1007/978-3-642-33542-6_74},\n booktitle = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}
\n
\n\n\n
\n Full data coverage of urban environments is crucial to monitor the status of the area to detect, for instance, trends and detrimental environmental changes. Collecting observations related to environmental factors such as noise pollution in urban environments through classical approaches implies the deployment of Sensor Networks. The cost of deployment and maintenance of such infrastructure might be relatively high for local and regional governments. On the other hand recent mass-market mobile devices such as smartphones are full of sensors. For instance, it is possible to perform measurements of noise through its microphone. Therefore they become low-cost measuring devices that many citizens have in their pocket. In this paper we present an approach for gathering noise pollution data by using mobile applications. The applications are designed following gamification techniques to encourage users to participate using their personal smartphones. In this way the users are involved in taking and sharing noise pollution measurements in their cities that other stakeholders can use in their analysis and decision making processes.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Aplicación móvil para la monitorización de la contaminación acústica en entornos urbanos a través de técnicas de Gamification.\n \n \n \n \n\n\n \n García Martí, I.; Rodríguez Pupo, L., E.; Benedito Bordonau, M.; Trilles Oliver, S.; Beltrán Fonollosa, A.; Díaz Sánchez, L.; and Huerta Guijarro, J.\n\n\n \n\n\n\n In IGN, editor(s), JIIDE 2012: III Jornadas Ibéricas de Infraestructuras de Datos Espaciales, 2012. \n \n\n\n\n
\n\n\n\n \n \n \"AplicaciónWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Aplicación móvil para la monitorización de la contaminación acústica en entornos urbanos a través de técnicas de Gamification},\n type = {inproceedings},\n year = {2012},\n keywords = {conference},\n websites = {http://www.02.idee.es/resources/presentaciones/JIIDE12/jueves/G49.Artuculo.pdf},\n city = {Madrid},\n id = {d13ee166-742e-32ed-8d15-f01b5ec83cd0},\n created = {2018-06-17T20:13:02.036Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2019-11-13T12:36:22.075Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {GarciaMarti2012},\n private_publication = {false},\n abstract = {La cobertura completa de datos en entornos urbanos es crucial para monitorizar el estado del área de estudio y detectar, por ejemplo, tendencias y cambios medioambientales. Recoger observaciones de factores ambientales, como la contaminación acústica, a través de aproximaciones clásicas implica el despliegue de Redes de Sensores, cuyo coste de implantación y mantenimiento, podría ser muy alto para las administraciones locales y regionales. Por otro lado, los dispositivos móviles como los smartphones incorporan numerosos sensores, por lo que, por ejemplo, pueden tomar muestras de ruido ambiental a través de su micrófono. De esta forma, cada smartphone se convierte en un dispositivo de medición de ruido ambiental que cualquier ciudadano puede llevar en su bolsillo. En este artículo presentamos una aproximación para recoger ruido ambiental a través de aplicaciones móviles. Esta aplicación móvil se ha diseñado siguiendo técnicas de Gamification para animar al usuario a participar utilizando sus propios smartphones personales. De esta forma, se involucra al usuario en la toma y la difusión de mediciones de ruido en sus ciudades que posteriormente, otras partes interesadas pueden usar en su análisis y sus procesos de toma de decisiones.},\n bibtype = {inproceedings},\n author = {García Martí, Irene and Rodríguez Pupo, Luis Enrique and Benedito Bordonau, Mauricia and Trilles Oliver, Sergio and Beltrán Fonollosa, Arturo and Díaz Sánchez, Laura and Huerta Guijarro, Joaquín},\n editor = {IGN, undefined},\n booktitle = {JIIDE 2012: III Jornadas Ibéricas de Infraestructuras de Datos Espaciales}\n}
\n
\n\n\n
\n La cobertura completa de datos en entornos urbanos es crucial para monitorizar el estado del área de estudio y detectar, por ejemplo, tendencias y cambios medioambientales. Recoger observaciones de factores ambientales, como la contaminación acústica, a través de aproximaciones clásicas implica el despliegue de Redes de Sensores, cuyo coste de implantación y mantenimiento, podría ser muy alto para las administraciones locales y regionales. Por otro lado, los dispositivos móviles como los smartphones incorporan numerosos sensores, por lo que, por ejemplo, pueden tomar muestras de ruido ambiental a través de su micrófono. De esta forma, cada smartphone se convierte en un dispositivo de medición de ruido ambiental que cualquier ciudadano puede llevar en su bolsillo. En este artículo presentamos una aproximación para recoger ruido ambiental a través de aplicaciones móviles. Esta aplicación móvil se ha diseñado siguiendo técnicas de Gamification para animar al usuario a participar utilizando sus propios smartphones personales. De esta forma, se involucra al usuario en la toma y la difusión de mediciones de ruido en sus ciudades que posteriormente, otras partes interesadas pueden usar en su análisis y sus procesos de toma de decisiones.\n
\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Integración de modelos medioambientales en infraestructuras de datos espaciales : un caso de uso en predicción de incendios.\n \n \n \n \n\n\n \n Trilles Oliver, S.; Juan Verdoy, P.; and Díaz Sánchez, L.\n\n\n \n\n\n\n Revista catalana de geografía, XVII(44). 2012.\n \n\n\n\n
\n\n\n\n \n \n \"IntegraciónWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@article{\n title = {Integración de modelos medioambientales en infraestructuras de datos espaciales : un caso de uso en predicción de incendios},\n type = {article},\n year = {2012},\n keywords = {journal},\n volume = {XVII},\n websites = {http://repositori.uji.es/xmlui/bitstream/handle/10234/159887/Trilles_Juan_Diaz_Huerta_RCG_44_2012.pdf?sequence=1},\n id = {b144bc44-e5dd-3bdc-8e23-ed5115f4ccb1},\n created = {2018-06-17T20:13:02.991Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:49:00.299Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2012integracin},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Trilles Oliver, Sergio and Juan Verdoy, Pablo and Díaz Sánchez, Laura},\n journal = {Revista catalana de geografía},\n number = {44}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Monitorización de datos de calidad de aire.\n \n \n \n \n\n\n \n Trilles Oliver, S.; Díaz Sánchez, L.; and Huerta Guijarro, J.\n\n\n \n\n\n\n In JIDEE 2012: III Jornadas Ibéricas de las infraestructuras de datos espaciales, 2012. III Jornadas Ibéricas de las Infraestructuras de Datos Espaciales (JIIDE 2012)\n \n\n\n\n
\n\n\n\n \n \n \"MonitorizaciónWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n  \n \n abstract \n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Monitorización de datos de calidad de aire},\n type = {inproceedings},\n year = {2012},\n keywords = {conference},\n websites = {http://www.ign.es/resources/jiide2012/miercoles/tarde/Colombia/5.Trilles_JIIDE_2012_v3.pdf},\n publisher = {III Jornadas Ibéricas de las Infraestructuras de Datos Espaciales (JIIDE 2012)},\n city = {Madrid},\n id = {43ef7959-2de2-35f8-ad75-739a1c02dde7},\n created = {2018-06-17T20:13:03.301Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:48:59.921Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2012monitorizacin},\n source_type = {book},\n private_publication = {false},\n abstract = {Cada vez más somos testigos del despliegue de redes de sensores que miden el estado del entorno en el que vivimos. Estas redes aportan grandes volúmenes de información en formatos y escalas muy diversas. Encontramos ejemplos de datos de diversa naturaleza, desde condiciones climáticas, hasta concentraciones de elementos contaminantes debido a la actividad humana como el transporte, y la industria. En este trabajo describimos como la publicación de estos datos mediante servicios que proporcionen un acceso estructurado y basado en estándares permite una mejor integración de estos datos, tanto para su visualización desde diversas plataformas (web o móvil) como para su consumo mediante procesos de análisis que permitan extraer valor añadido y asistir en la toma de decisiones. Uno de los principales objetivos es incrementar la interoperabilidad de acceso a estos datos y que un usuario a través de diferentes dispositivos pueda conocer en tiempo real las condiciones de una ubicación concreta},\n bibtype = {inproceedings},\n author = {Trilles Oliver, Sergio and Díaz Sánchez, Laura and Huerta Guijarro, Joaquín},\n booktitle = {JIDEE 2012: III Jornadas Ibéricas de las infraestructuras de datos espaciales}\n}
\n
\n\n\n
\n Cada vez más somos testigos del despliegue de redes de sensores que miden el estado del entorno en el que vivimos. Estas redes aportan grandes volúmenes de información en formatos y escalas muy diversas. Encontramos ejemplos de datos de diversa naturaleza, desde condiciones climáticas, hasta concentraciones de elementos contaminantes debido a la actividad humana como el transporte, y la industria. En este trabajo describimos como la publicación de estos datos mediante servicios que proporcionen un acceso estructurado y basado en estándares permite una mejor integración de estos datos, tanto para su visualización desde diversas plataformas (web o móvil) como para su consumo mediante procesos de análisis que permitan extraer valor añadido y asistir en la toma de decisiones. Uno de los principales objetivos es incrementar la interoperabilidad de acceso a estos datos y que un usuario a través de diferentes dispositivos pueda conocer en tiempo real las condiciones de una ubicación concreta\n
\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2011\n \n \n (2)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n Integración de modelos medioambientales en infraestructuras de datos espaciales : un caso de uso en predicción de incendios.\n \n \n \n \n\n\n \n Trilles Oliver, S.; Juan Verdoy, P.; and Díaz Sánchez, L.\n\n\n \n\n\n\n In IGN, editor(s), JIIDE 2011: II Jornadas Ibéricas de Infraestructuras de Datos Espaciales, 2011. Barcelona\n \n\n\n\n
\n\n\n\n \n \n \"IntegraciónWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Integración de modelos medioambientales en infraestructuras de datos espaciales : un caso de uso en predicción de incendios},\n type = {inproceedings},\n year = {2011},\n keywords = {conference},\n websites = {http://www.idee.es/resources/presentaciones/JIIDE11/Articulo-16.pdf},\n publisher = {Barcelona},\n id = {78e091f0-feca-3b72-a0c7-32260ace317d},\n created = {2018-06-17T20:13:02.668Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:49:00.171Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2011integracin},\n source_type = {conference},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Trilles Oliver, Sergio and Juan Verdoy, Pablo and Díaz Sánchez, Laura},\n editor = {IGN, undefined},\n booktitle = {JIIDE 2011: II Jornadas Ibéricas de Infraestructuras de Datos Espaciales}\n}
\n
\n\n\n\n
\n\n\n
\n \n\n \n \n \n \n \n \n Un geoprocesamiento para la publicación de metadatos geográficos.\n \n \n \n \n\n\n \n Oliver, S.; Altaba, J.; and Díaz Sánchez, L.\n\n\n \n\n\n\n In IGN, editor(s), JIIDE 2011: II Jornadas Ibéricas de Infraestructuras de Datos Espaciales, 2011. Barcelona\n \n\n\n\n
\n\n\n\n \n \n \"UnWebsite\n  \n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Un geoprocesamiento para la publicación de metadatos geográficos},\n type = {inproceedings},\n year = {2011},\n keywords = {conference},\n websites = {http://www.idee.es/resources/presentaciones/JIIDE11/Articulo-35.pdf},\n publisher = {Barcelona},\n city = {Barcelon, Spain},\n id = {5d69b0f2-8032-3ed0-a8b5-935fe5123a05},\n created = {2018-06-17T20:13:03.309Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:48:59.735Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2011un},\n source_type = {conference},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Oliver, ST and Altaba, JG and Díaz Sánchez, L},\n editor = {IGN, undefined},\n booktitle = {JIIDE 2011: II Jornadas Ibéricas de Infraestructuras de Datos Espaciales}\n}
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n
\n
\n  \n 2010\n \n \n (1)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n Aproximación a la yuxtaposición cualitativa de polígonos con agujeros.\n \n \n \n\n\n \n Trilles, S.; Escrig, P.; and Museros, L.\n\n\n \n\n\n\n In ARCA, E., J., editor(s), XII Jornadas de Arca: Eficiencia Energética y Sostenibilidad en Inteligencia Artificial (JARCA 2010), 2010. 12th International Conference on Energy Efficiency and Sustainability in Ambient Intelligence. JARCA 2010. Mallorca\n \n\n\n\n
\n\n\n\n \n\n \n\n \n link\n  \n \n\n bibtex\n \n\n \n\n \n\n \n \n \n \n \n \n \n\n  \n \n \n \n \n\n\n\n
\n
@inproceedings{\n title = {Aproximación a la yuxtaposición cualitativa de polígonos con agujeros},\n type = {inproceedings},\n year = {2010},\n keywords = {conference},\n publisher = {12th International Conference on Energy Efficiency and Sustainability in Ambient Intelligence. JARCA 2010. Mallorca},\n city = {Capdepera, Mallorca (Espanya)},\n id = {a837abf9-05d7-35c2-a954-aa19ea573a01},\n created = {2018-06-17T20:13:02.791Z},\n file_attached = {false},\n profile_id = {05910fc8-b090-3c8e-ac9c-584445e4b049},\n last_modified = {2018-09-15T10:48:59.999Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n citation_key = {trilles2010aproximacin},\n source_type = {conference},\n private_publication = {false},\n bibtype = {inproceedings},\n author = {Trilles, Sergio and Escrig, Pau and Museros, Lledó},\n editor = {ARCA, Ed. Jornadas},\n booktitle = {XII Jornadas de Arca: Eficiencia Energética y Sostenibilidad en Inteligencia Artificial (JARCA 2010)}\n}
\n
\n\n\n\n
\n\n\n\n\n\n
\n
\n\n\n\n\n
\n\n\n \n\n \n \n \n \n\n
\n"}; document.write(bibbase_data.data);