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\n  \n 2024\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Exploring the Potential of Genetic Algorithms for Optimizing Academic Schedules at the School of Mechatronic Engineering: Preliminary Results.\n \n \n \n \n\n\n \n Alarcón, J.; Buitrón, S.; Carrillo, A.; Chuquimarca, M.; Ortiz, A.; Guachi, R.; Peluffo-Ordóñez, D., H.; and Guachi-Guachi, L.\n\n\n \n\n\n\n In Florez, H.; and Leon, M., editor(s), Applied Informatics, pages 390-402, 2024. Springer Nature Switzerland\n \n\n\n\n
\n\n\n\n \n \n \"ExploringWebsite\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
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@inproceedings{\n title = {Exploring the Potential of Genetic Algorithms for Optimizing Academic Schedules at the School of Mechatronic Engineering: Preliminary Results},\n type = {inproceedings},\n year = {2024},\n pages = {390-402},\n websites = {https://rd.springer.com/chapter/10.1007/978-3-031-46813-1_26},\n publisher = {Springer Nature Switzerland},\n city = {Cham},\n id = {f938ddb5-3c19-37d8-bce0-e0ac17b19a48},\n created = {2023-10-23T16:58:05.354Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2023-10-23T16:58:05.354Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {10.1007/978-3-031-46813-1_26},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {The generation of schedules is a complex challenge, particularly in academic institutions aiming for equitable scheduling. The goal is to achieve fair and balanced schedules that meet the requirements of all parties involved, such as workload, class distribution, shifts, and other relevant criteria. To address this challenge, a genetic algorithm specifically designed for optimal schedule generation has been proposed as a solution. Adjusting genetic algorithm parameters impacts performance, and employing parameter optimization techniques effectively tackles this issue. This work introduces a genetic algorithm for optimal schedule generation, utilizing suitable encoding and operators, and evaluating quality through fitness techniques. Optimization efforts led to reduced execution time, improved solution quality, and positive outcomes like faster execution, fewer generations, increased stability, and convergence to optimal solutions.},\n bibtype = {inproceedings},\n author = {Alarcón, Johan and Buitrón, Samantha and Carrillo, Alexis and Chuquimarca, Mateo and Ortiz, Alexis and Guachi, Robinson and Peluffo-Ordóñez, D H and Guachi-Guachi, Lorena},\n editor = {Florez, Hector and Leon, Marcelo},\n booktitle = {Applied Informatics}\n}
\n
\n\n\n
\n The generation of schedules is a complex challenge, particularly in academic institutions aiming for equitable scheduling. The goal is to achieve fair and balanced schedules that meet the requirements of all parties involved, such as workload, class distribution, shifts, and other relevant criteria. To address this challenge, a genetic algorithm specifically designed for optimal schedule generation has been proposed as a solution. Adjusting genetic algorithm parameters impacts performance, and employing parameter optimization techniques effectively tackles this issue. This work introduces a genetic algorithm for optimal schedule generation, utilizing suitable encoding and operators, and evaluating quality through fitness techniques. Optimization efforts led to reduced execution time, improved solution quality, and positive outcomes like faster execution, fewer generations, increased stability, and convergence to optimal solutions.\n
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\n \n\n \n \n \n \n \n \n A conceptual framework for the operations planning of the textile supply chains: Insights for sustainable and smart planning in uncertain and dynamic contexts.\n \n \n \n \n\n\n \n Lorente-Leyva, L., L.; Alemany, M., M., E.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Computers & Industrial Engineering, 187: 109824. 2024.\n \n\n\n\n
\n\n\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 \n \n \n \n \n \n \n \n\n\n\n
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@article{\n title = {A conceptual framework for the operations planning of the textile supply chains: Insights for sustainable and smart planning in uncertain and dynamic contexts},\n type = {article},\n year = {2024},\n keywords = {Conceptual framework,Industry 4.0,Literature review,Sustainable,Textile industry,Uncertainty,smart and dynamic operations planning},\n pages = {109824},\n volume = {187},\n websites = {https://www.sciencedirect.com/science/article/pii/S0360835223008483},\n id = {8164ef4d-f2ec-3daf-9573-4e78b99ad661},\n created = {2024-02-08T21:44:49.969Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2024-02-08T21:44:49.969Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {LORENTELEYVA2024109824},\n source_type = {article},\n private_publication = {false},\n abstract = {Recent practices in textile supply chains (SC) show a growing concern for sustainability not only in its economic dimension, but fundamentally in its environmental and social ones. One of the key management processes that affect sustainability is the SC operations planning since its fundamental role in achieving a balance between supply and demand in a sustainable manner. Moreover, in an uncertain and dynamic environment such as the textile sector, it is necessary to provide a certain learning capability to the operations planning techniques used to increase the speed and quality of response of the textile SC to unexpected situations. In this context, mathematical programming models, heuristics and artificial intelligence techniques have proven their validity to achieve sustainable, robust and smart supply chains. Despite their potential, neither a conceptual framework (CF) nor a literature review have been detected to support the development and study of such models in the textile supply chain operations planning. In view of these gaps, this paper proposes a CF for supporting the sustainable and smart operations planning of the textile supply chains in a dynamic and uncertain context based on a set of dimensions, categories and elements that reflect the specific characteristics of the textile sector. Firstly, a tentative CF is predefined based on other generic works on SC operations planning in uncertain context and the own authors’ knowledge. Secondly, a structured literature review based on this CF has been made resulting, at the same time, in the updating of some of its dimensions, categories and elements to reflect some textile specific characteristics. Consequently, the CF is not only predefined but also logically derived from the literature analysis. The results of the literature review show that there is a great opportunity to contribute to making textile supply chains more sustainable, smart, flexible, robust and resilient in dynamic and uncertain environments.},\n bibtype = {article},\n author = {Lorente-Leyva, Leandro L and Alemany, M M E and Peluffo-Ordóñez, Diego H},\n doi = {https://doi.org/10.1016/j.cie.2023.109824},\n journal = {Computers & Industrial Engineering}\n}
\n
\n\n\n
\n Recent practices in textile supply chains (SC) show a growing concern for sustainability not only in its economic dimension, but fundamentally in its environmental and social ones. One of the key management processes that affect sustainability is the SC operations planning since its fundamental role in achieving a balance between supply and demand in a sustainable manner. Moreover, in an uncertain and dynamic environment such as the textile sector, it is necessary to provide a certain learning capability to the operations planning techniques used to increase the speed and quality of response of the textile SC to unexpected situations. In this context, mathematical programming models, heuristics and artificial intelligence techniques have proven their validity to achieve sustainable, robust and smart supply chains. Despite their potential, neither a conceptual framework (CF) nor a literature review have been detected to support the development and study of such models in the textile supply chain operations planning. In view of these gaps, this paper proposes a CF for supporting the sustainable and smart operations planning of the textile supply chains in a dynamic and uncertain context based on a set of dimensions, categories and elements that reflect the specific characteristics of the textile sector. Firstly, a tentative CF is predefined based on other generic works on SC operations planning in uncertain context and the own authors’ knowledge. Secondly, a structured literature review based on this CF has been made resulting, at the same time, in the updating of some of its dimensions, categories and elements to reflect some textile specific characteristics. Consequently, the CF is not only predefined but also logically derived from the literature analysis. The results of the literature review show that there is a great opportunity to contribute to making textile supply chains more sustainable, smart, flexible, robust and resilient in dynamic and uncertain environments.\n
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\n  \n 2023\n \n \n (6)\n \n \n
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\n \n\n \n \n \n \n \n \n A hybrid genetic algorithm for optimizing urban distribution of auto-parts by a vertex routing problem.\n \n \n \n \n\n\n \n Herrera-granda, I., D.; Martín-barreiro, C.; Herrera-granda, E., P.; and Peluffo-ordoñez, D., H.\n\n\n \n\n\n\n REVISTA INVESTIGACION OPERACIONAL. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"AWebsite\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\n\n\n
\n
@article{\n title = {A hybrid genetic algorithm for optimizing urban distribution of auto-parts by a vertex routing problem},\n type = {article},\n year = {2023},\n keywords = {distribution of auto parts,genetic algorithms,heuristic,urban logistics,vrp},\n websites = {https://rev-inv-ope.pantheonsorbonne.fr/sites/default/files/inline-files/44123-12_author.pdf},\n id = {30106030-79c6-35ea-b4da-a248268940ec},\n created = {2022-02-02T03:17:55.575Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2023-04-30T04:46:53.848Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {In the present work, a hybrid algorithm is designed and implemented, by combining genetic-algorithm meta-heuristics, and the nearest neighbor heuristics, aimed at solving the capacited vehicle routing problem with time windows (CVRPTW). The proposed implementation optimizes the distribution for an auto-parts trading company, within the urban perimeter of the city of Quito-Ecuador. By design, a script coded in C# language is developed. Besides, in order to evaluate the quality of the solutions generated by the proposed hybrid algorithm, different instances of the problem are built, by taking small samples from the whole customers’ information. For comparison purposes, the mathematical model of the CVRPTW available in the GAMS optimization software is considered. As well, real instances of the problem are considered, on which the generated routes reaches an improvement up to 20% of the distances traveled by the routes traditionally used in by the case-study company.},\n bibtype = {article},\n author = {Herrera-granda, Israel D and Martín-barreiro, Carlos and Herrera-granda, Erick P and Peluffo-ordoñez, Diego H},\n journal = {REVISTA INVESTIGACION OPERACIONAL}\n}
\n
\n\n\n
\n In the present work, a hybrid algorithm is designed and implemented, by combining genetic-algorithm meta-heuristics, and the nearest neighbor heuristics, aimed at solving the capacited vehicle routing problem with time windows (CVRPTW). The proposed implementation optimizes the distribution for an auto-parts trading company, within the urban perimeter of the city of Quito-Ecuador. By design, a script coded in C# language is developed. Besides, in order to evaluate the quality of the solutions generated by the proposed hybrid algorithm, different instances of the problem are built, by taking small samples from the whole customers’ information. For comparison purposes, the mathematical model of the CVRPTW available in the GAMS optimization software is considered. As well, real instances of the problem are considered, on which the generated routes reaches an improvement up to 20% of the distances traveled by the routes traditionally used in by the case-study company.\n
\n\n\n
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\n \n\n \n \n \n \n \n \n Positive invariant regions for a modified Van Der Pol equation modeling heart action.\n \n \n \n \n\n\n \n Acosta, A.; Gallo, R.; García, P.; and Peluffo-Ordóñez, D.\n\n\n \n\n\n\n Applied Mathematics and Computation, 442: 127732. 2023.\n \n\n\n\n
\n\n\n\n \n \n \"PositiveWebsite\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 = {Positive invariant regions for a modified Van Der Pol equation modeling heart action},\n type = {article},\n year = {2023},\n keywords = {Approximate invariant regions,Electrocardiographic signal,Heart action,Van der Pol equation},\n pages = {127732},\n volume = {442},\n websites = {https://www.sciencedirect.com/science/article/pii/S0096300322008001},\n id = {56693a42-7f2c-38cc-a6d1-215f619fc66c},\n created = {2022-12-11T12:37:02.793Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-12-11T12:37:02.793Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {ACOSTA2023127732},\n source_type = {article},\n private_publication = {false},\n abstract = {The dynamical characterization of the heart rate is definitely a problem of vital importance. The selection, construction and adjustment of models that reproduce the dynamic behavior of the cardiac muscle, brings us closer to the solution of the usual classification problem in medicine, i.e. decide whether or not a patient belongs to the healthy class of patients. An usual model for this dynamic is often given by a modified Van der Pol model (vdPM), whose parameters are currently optimized with machine learning techniques or evolutionary algorithms. In any of these cases, the proper selection of the initial condition of the parameters drastically reduces the computational cost of the optimization method used. In this work, a strategy to estimate a positively invariant region that contains the periodic orbit, associated with a set of particular parameters of the vdPM considered, is presented. An algorithm is proposed to build the positively invariant region, the numerical results confirm that the vdPM solutions starting within the positively invariant region converge to the periodic orbit. This kind of result allows to reduce the cost of searching for the optimal parameters that represent a real electrocardiographic signal, which in turn, let us reduce the dimensionality of the system allowing the design of more efficient classifiers for these signals.},\n bibtype = {article},\n author = {Acosta, A and Gallo, R and García, P and Peluffo-Ordóñez, D},\n doi = {https://doi.org/10.1016/j.amc.2022.127732},\n journal = {Applied Mathematics and Computation}\n}
\n
\n\n\n
\n The dynamical characterization of the heart rate is definitely a problem of vital importance. The selection, construction and adjustment of models that reproduce the dynamic behavior of the cardiac muscle, brings us closer to the solution of the usual classification problem in medicine, i.e. decide whether or not a patient belongs to the healthy class of patients. An usual model for this dynamic is often given by a modified Van der Pol model (vdPM), whose parameters are currently optimized with machine learning techniques or evolutionary algorithms. In any of these cases, the proper selection of the initial condition of the parameters drastically reduces the computational cost of the optimization method used. In this work, a strategy to estimate a positively invariant region that contains the periodic orbit, associated with a set of particular parameters of the vdPM considered, is presented. An algorithm is proposed to build the positively invariant region, the numerical results confirm that the vdPM solutions starting within the positively invariant region converge to the periodic orbit. This kind of result allows to reduce the cost of searching for the optimal parameters that represent a real electrocardiographic signal, which in turn, let us reduce the dimensionality of the system allowing the design of more efficient classifiers for these signals.\n
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\n \n\n \n \n \n \n \n \n GHG Global Emission Prediction of Synthetic N Fertilizers Using Expectile Regression Techniques.\n \n \n \n \n\n\n \n Benghzial, K.; Raki, H.; Bamansour, S.; Elhamdi, M.; Aalaila, Y.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Atmosphere, 14(2). 2023.\n \n\n\n\n
\n\n\n\n \n \n \"GHGWebsite\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
@article{\n title = {GHG Global Emission Prediction of Synthetic N Fertilizers Using Expectile Regression Techniques},\n type = {article},\n year = {2023},\n volume = {14},\n websites = {https://www.mdpi.com/2073-4433/14/2/283},\n id = {5344100a-d227-3131-9238-fce859c4a3e5},\n created = {2023-01-31T21:32:31.750Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2023-01-31T21:32:31.750Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {atmos14020283},\n source_type = {article},\n private_publication = {false},\n abstract = {Agriculture accounts for a large percentage of nitrous oxide (N2O) emissions, mainly due to the misapplication of nitrogen-based fertilizers, leading to an increase in the greenhouse gas (GHG) footprint. These emissions are of a direct nature, released straight into the atmosphere through nitrification and denitrification, or of an indirect nature, mainly through nitrate leaching, runoff, and N2O volatilization processes. N2O emissions are largely ascribed to the agricultural sector, which represents a threat to sustainability and food production, subsequent to the radical contribution to climate change. In this connection, it is crucial to unveil the relationship between synthetic N fertilizer global use and N2O emissions. To this end, we worked on a dataset drawn from a recent study, which estimates direct and indirect N2O emissions according to each country, by the Intergovernmental Panel on Climate Change (IPCC) guidelines. Machine learning tools are considered great explainable techniques when dealing with air quality problems. Hence, our work focuses on expectile regression (ER) based-approaches to predict N2O emissions based on N fertilizer use. In contrast to classical linear regression (LR), this method allows for heteroscedasticity and omits a parametric specification of the underlying distribution. ER provides a complete picture of the target variable&rsquo;s distribution, especially when the tails are of interest, or in dealing with heavy-tailed distributions. In this work, we applied expectile regression and the kernel expectile regression estimator (KERE) to predict direct and indirect N2O emissions. The results outline both the flexibility and competitiveness of ER-based techniques in regard to the state-of-the-art regression approaches.},\n bibtype = {article},\n author = {Benghzial, Kaoutar and Raki, Hind and Bamansour, Sami and Elhamdi, Mouad and Aalaila, Yahya and Peluffo-Ordóñez, Diego H},\n doi = {10.3390/atmos14020283},\n journal = {Atmosphere},\n number = {2}\n}
\n
\n\n\n
\n Agriculture accounts for a large percentage of nitrous oxide (N2O) emissions, mainly due to the misapplication of nitrogen-based fertilizers, leading to an increase in the greenhouse gas (GHG) footprint. These emissions are of a direct nature, released straight into the atmosphere through nitrification and denitrification, or of an indirect nature, mainly through nitrate leaching, runoff, and N2O volatilization processes. N2O emissions are largely ascribed to the agricultural sector, which represents a threat to sustainability and food production, subsequent to the radical contribution to climate change. In this connection, it is crucial to unveil the relationship between synthetic N fertilizer global use and N2O emissions. To this end, we worked on a dataset drawn from a recent study, which estimates direct and indirect N2O emissions according to each country, by the Intergovernmental Panel on Climate Change (IPCC) guidelines. Machine learning tools are considered great explainable techniques when dealing with air quality problems. Hence, our work focuses on expectile regression (ER) based-approaches to predict N2O emissions based on N fertilizer use. In contrast to classical linear regression (LR), this method allows for heteroscedasticity and omits a parametric specification of the underlying distribution. ER provides a complete picture of the target variable’s distribution, especially when the tails are of interest, or in dealing with heavy-tailed distributions. In this work, we applied expectile regression and the kernel expectile regression estimator (KERE) to predict direct and indirect N2O emissions. The results outline both the flexibility and competitiveness of ER-based techniques in regard to the state-of-the-art regression approaches.\n
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\n \n\n \n \n \n \n \n \n A Novel Linear-Model-Based Methodology for Predicting the Directional Movement of the Euro-Dollar Exchange Rate.\n \n \n \n \n\n\n \n Argotty-Erazo, M.; Blázquez-Zaballos, A.; Argoty-Eraso, C., A.; Lorente-Leyva, L., L.; Sánchez-Pozo, N., N.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n IEEE Access, 11: 67249-67284. 2023.\n \n\n\n\n
\n\n\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\n \n \n \n \n \n \n \n\n  \n \n \n\n\n\n
\n
@article{\n title = {A Novel Linear-Model-Based Methodology for Predicting the Directional Movement of the Euro-Dollar Exchange Rate},\n type = {article},\n year = {2023},\n pages = {67249-67284},\n volume = {11},\n websites = {https://ieeexplore.ieee.org/document/10147811},\n id = {2ff1710e-39c0-305a-b46d-efea42d71c42},\n created = {2023-07-20T23:39:04.211Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2023-07-20T23:39:04.211Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {10147811},\n source_type = {article},\n private_publication = {false},\n bibtype = {article},\n author = {Argotty-Erazo, Mauricio and Blázquez-Zaballos, Antonio and Argoty-Eraso, Carlos A and Lorente-Leyva, Leandro L and Sánchez-Pozo, Nadia N and Peluffo-Ordóñez, Diego H},\n doi = {10.1109/ACCESS.2023.3285082},\n journal = {IEEE Access}\n}
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\n \n\n \n \n \n \n \n \n Design and Implementation of an IoT Control and Monitoring System for the Optimization of Shrimp Pools using LoRa Technology.\n \n \n \n \n\n\n \n Pontón, J., M., P.; Ojeda, V.; Asanza, V.; Lorente-Leyva, L., L.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n International Journal of Advanced Computer Science and Applications, 14(8). 2023.\n \n\n\n\n
\n\n\n\n \n \n \"DesignWebsite\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
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@article{\n title = {Design and Implementation of an IoT Control and Monitoring System for the Optimization of Shrimp Pools using LoRa Technology},\n type = {article},\n year = {2023},\n volume = {14},\n websites = {http://dx.doi.org/10.14569/IJACSA.2023.0140829},\n publisher = {The Science and Information Organization},\n id = {2cc9f9dd-3012-3655-8193-ecc665fc8fba},\n created = {2023-08-30T20:19:32.032Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2023-08-30T20:19:32.032Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Pontón2023},\n source_type = {article},\n private_publication = {false},\n abstract = {The shrimp farming industry in Ecuador, renowned for its shrimp breeding and exportation, faces challenges due to diseases related to variations in abiotic factors during the maturation stage. This is partly attributed to the traditional methods employed in shrimp farms. Consequently, a prototype has been developed for monitoring and controlling abiotic factors using IoT technology. The proposed system consists of three nodes communicating through the LoRa interface. For control purposes, a fuzzy logic system has been implemented that evaluates temperature and dissolved oxygen abiotic factors to determine the state of the aerator, updating the information in the ThingSpeak application. A detailed analysis of equipment energy consumption and the maximum communication range for message transmission and reception was conducted. Subsequently, the monitoring and control system underwent comprehensive testing, including communication with the visualization platform. The results demonstrated significant improvements in system performance. By modifying parameters in the microcontroller, a 2.55-fold increase in battery durability was achieved. The implemented fuzzy logic system enabled effective on/off control of the aerators, showing a corrective trend in response to variations in the analyzed abiotic parameters. The robustness of the LoRa communication interface was evident in urban environments, achieving a distance of up to 1 km without line of sight.},\n bibtype = {article},\n author = {Pontón, José M Pereira and Ojeda, Verónica and Asanza, Víctor and Lorente-Leyva, Leandro L and Peluffo-Ordóñez, Diego H},\n doi = {10.14569/IJACSA.2023.0140829},\n journal = {International Journal of Advanced Computer Science and Applications},\n number = {8}\n}
\n
\n\n\n
\n The shrimp farming industry in Ecuador, renowned for its shrimp breeding and exportation, faces challenges due to diseases related to variations in abiotic factors during the maturation stage. This is partly attributed to the traditional methods employed in shrimp farms. Consequently, a prototype has been developed for monitoring and controlling abiotic factors using IoT technology. The proposed system consists of three nodes communicating through the LoRa interface. For control purposes, a fuzzy logic system has been implemented that evaluates temperature and dissolved oxygen abiotic factors to determine the state of the aerator, updating the information in the ThingSpeak application. A detailed analysis of equipment energy consumption and the maximum communication range for message transmission and reception was conducted. Subsequently, the monitoring and control system underwent comprehensive testing, including communication with the visualization platform. The results demonstrated significant improvements in system performance. By modifying parameters in the microcontroller, a 2.55-fold increase in battery durability was achieved. The implemented fuzzy logic system enabled effective on/off control of the aerators, showing a corrective trend in response to variations in the analyzed abiotic parameters. The robustness of the LoRa communication interface was evident in urban environments, achieving a distance of up to 1 km without line of sight.\n
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\n \n\n \n \n \n \n \n \n Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor.\n \n \n \n \n\n\n \n Alejandro-Sanjines, U.; Maisincho-Jivaja, A.; Asanza, V.; Lorente-Leyva, L., L.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Biomimetics, 8(5). 2023.\n \n\n\n\n
\n\n\n\n \n \n \"AdaptiveWebsite\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
@article{\n title = {Adaptive PI Controller Based on a Reinforcement Learning Algorithm for Speed Control of a DC Motor},\n type = {article},\n year = {2023},\n volume = {8},\n websites = {https://www.mdpi.com/2313-7673/8/5/434},\n id = {bd033906-b7df-3ec2-9030-5f492fd4615f},\n created = {2023-09-22T18:07:54.704Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2023-09-22T18:07:54.704Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {biomimetics8050434},\n source_type = {article},\n private_publication = {false},\n abstract = {Automated industrial processes require a controller to obtain an output signal similar to the reference indicated by the user. There are controllers such as PIDs, which are efficient if the system does not change its initial conditions. However, if this is not the case, the controller must be retuned, affecting production times. In this work, an adaptive PID controller is developed for a DC motor speed plant using an artificial intelligence algorithm based on reinforcement learning. This algorithm uses an actor&ndash;critic agent, where its objective is to optimize the actor&rsquo;s policy and train a critic for rewards. This will generate the appropriate gains without the need to know the system. The Deep Deterministic Policy Gradient with Twin Delayed (DDPG TD3) was used, with a network composed of 300 neurons for the agent&rsquo;s learning. Finally, the performance of the obtained controller is compared with a classical control one using a cost function.},\n bibtype = {article},\n author = {Alejandro-Sanjines, Ulbio and Maisincho-Jivaja, Anthony and Asanza, Victor and Lorente-Leyva, Leandro L and Peluffo-Ordóñez, Diego H},\n doi = {10.3390/biomimetics8050434},\n journal = {Biomimetics},\n number = {5}\n}
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\n Automated industrial processes require a controller to obtain an output signal similar to the reference indicated by the user. There are controllers such as PIDs, which are efficient if the system does not change its initial conditions. However, if this is not the case, the controller must be retuned, affecting production times. In this work, an adaptive PID controller is developed for a DC motor speed plant using an artificial intelligence algorithm based on reinforcement learning. This algorithm uses an actor–critic agent, where its objective is to optimize the actor’s policy and train a critic for rewards. This will generate the appropriate gains without the need to know the system. The Deep Deterministic Policy Gradient with Twin Delayed (DDPG TD3) was used, with a network composed of 300 neurons for the agent’s learning. Finally, the performance of the obtained controller is compared with a classical control one using a cost function.\n
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\n  \n 2022\n \n \n (3)\n \n \n
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\n \n\n \n \n \n \n \n \n Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes.\n \n \n \n \n\n\n \n Escobar-González, D.; S., S., M.; Juan, G.; Bolívar, E.; Zambrano, M.; Darwin, A.; Marcos, V.; Mario, G.; Lahuatte, B.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Water, 14(19). 2022.\n \n\n\n\n
\n\n\n\n \n \n \"Intensity-Duration-FrequencyWebsite\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
@article{\n title = {Intensity-Duration-Frequency Curve for Extreme Rainfall Event Characterization, in the High Tropical Andes},\n type = {article},\n year = {2022},\n volume = {14},\n websites = {https://www.mdpi.com/2073-4441/14/19/2998},\n id = {8fe0d2aa-f4a8-3db4-a0a8-c3e3901a511a},\n created = {2022-09-28T04:39:20.568Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-09-28T04:39:20.568Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {w14192998},\n source_type = {article},\n private_publication = {false},\n abstract = {In fields such as hydrology, meteorology, and civil engineering, the study of extreme precipitation events is useful to prevent rainfall related disasters. A widely-used practice to address such a problem is by using statistical inferences about precipitation intensity, duration and frequency (IDF). Despite of its great usefulness, the selection of the adequate data and methodology to characterize precipitation&rsquo;s IDF in the urban area of high-altitude Andean cities remains an open issue for practitioners and decision makers. In this sense, the present paper develops an approach to schematically build the IDF curves for a sub-basin of the study case Andean city, Quito&ndash;Ecuador. The here-used data holds information from 12 meteorological stations. Then, the IDF curves are obtained by using both a parametrization followed by a Gamma distribution and a 3-parameter cumulative distribution function, also called mnp. Finally, the curve-fitting process is estimated numerically by adjusting the Sherman equation. Results (average R2=0.9) demonstrated that the framework is well-suited for the high-altitude regime. As a noticeable outcome, a novel spatial interpolation-based analysis is introduced, which enabled the identification of extreme rainfall events according to its duration.},\n bibtype = {article},\n author = {Escobar-González, Diego and S., Singaña-Chasi Mélany and Juan, González-Vergara and Bolívar, Erazo and Zambrano, Miguel and Darwin, Acosta and Marcos, Villacís and Mario, Guallpa and Lahuatte, Braulio and Peluffo-Ordóñez, Diego H},\n doi = {10.3390/w14192998},\n journal = {Water},\n number = {19}\n}
\n
\n\n\n
\n In fields such as hydrology, meteorology, and civil engineering, the study of extreme precipitation events is useful to prevent rainfall related disasters. A widely-used practice to address such a problem is by using statistical inferences about precipitation intensity, duration and frequency (IDF). Despite of its great usefulness, the selection of the adequate data and methodology to characterize precipitation’s IDF in the urban area of high-altitude Andean cities remains an open issue for practitioners and decision makers. In this sense, the present paper develops an approach to schematically build the IDF curves for a sub-basin of the study case Andean city, Quito–Ecuador. The here-used data holds information from 12 meteorological stations. Then, the IDF curves are obtained by using both a parametrization followed by a Gamma distribution and a 3-parameter cumulative distribution function, also called mnp. Finally, the curve-fitting process is estimated numerically by adjusting the Sherman equation. Results (average R2=0.9) demonstrated that the framework is well-suited for the high-altitude regime. As a noticeable outcome, a novel spatial interpolation-based analysis is introduced, which enabled the identification of extreme rainfall events according to its duration.\n
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\n \n\n \n \n \n \n \n \n A Genetic Algorithm for Scheduling Laboratory Rooms: A Case Study.\n \n \n \n \n\n\n \n Fuenmayor, R.; Larrea, M.; Moncayo, M.; Moya, E.; Trujillo, S.; Terneus, J.; Guachi, R.; Peluffo-Ordoñez, D., H.; and Guachi-Guachi, L.\n\n\n \n\n\n\n In Florez, H.; and Gomez, H., editor(s), Applied Informatics, pages 3-14, 2022. Springer International Publishing\n \n\n\n\n
\n\n\n\n \n \n \"AWebsite\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
@inproceedings{\n title = {A Genetic Algorithm for Scheduling Laboratory Rooms: A Case Study},\n type = {inproceedings},\n year = {2022},\n pages = {3-14},\n websites = {https://link.springer.com/chapter/10.1007/978-3-031-19647-8_1},\n publisher = {Springer International Publishing},\n city = {Cham},\n id = {0d4ef2da-0b0e-31e3-998b-9df808c52a80},\n created = {2022-10-20T22:52:50.197Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-10-20T22:52:50.197Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {10.1007/978-3-031-19647-8_1},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {Genetic algorithms (GAs) are a great tool for solving optimization problems. Their characteristics and different components based on the principles of biological evolution make these algorithms very robust and efficient in this type of problem. Many research works have presented dedicated solutions to schedule or resource optimization problems in different areas and project types; most of them have adopted GA implementation to find an individual that represents the best solution. Under this conception, in this work, we present a GA with a controlled mutation operator aiming at maintaining a trade-off between diversity and survival of the best individuals of each generation. This modification is supported by an improvement in terms of convergence time, efficiency of the results and the fulfillment of the constraints (of 29\\%, 14.98\\% and 23.33\\% respectively, compared with state-of-the-art GA with a single random mutation operator) to solve the problem of schedule optimization in the use of three laboratory rooms of the Mechatronics Engineering Career of the International University of Ecuador.},\n bibtype = {inproceedings},\n author = {Fuenmayor, Rafael and Larrea, Martín and Moncayo, Mario and Moya, Esteban and Trujillo, Sebastián and Terneus, Juan-Diego and Guachi, Robinson and Peluffo-Ordoñez, Diego H and Guachi-Guachi, Lorena},\n editor = {Florez, Hector and Gomez, Henry},\n booktitle = {Applied Informatics}\n}
\n
\n\n\n
\n Genetic algorithms (GAs) are a great tool for solving optimization problems. Their characteristics and different components based on the principles of biological evolution make these algorithms very robust and efficient in this type of problem. Many research works have presented dedicated solutions to schedule or resource optimization problems in different areas and project types; most of them have adopted GA implementation to find an individual that represents the best solution. Under this conception, in this work, we present a GA with a controlled mutation operator aiming at maintaining a trade-off between diversity and survival of the best individuals of each generation. This modification is supported by an improvement in terms of convergence time, efficiency of the results and the fulfillment of the constraints (of 29\\%, 14.98\\% and 23.33\\% respectively, compared with state-of-the-art GA with a single random mutation operator) to solve the problem of schedule optimization in the use of three laboratory rooms of the Mechatronics Engineering Career of the International University of Ecuador.\n
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\n \n\n \n \n \n \n \n \n Modelling of Proton Exchange Membrane Fuel Cells with Sinusoidal Approach.\n \n \n \n \n\n\n \n González-Castaño, C.; Aalaila, Y.; Restrepo, C.; Revelo-Fuelagán, J.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Membranes, 12(11). 2022.\n \n\n\n\n
\n\n\n\n \n \n \"ModellingWebsite\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
@article{\n title = {Modelling of Proton Exchange Membrane Fuel Cells with Sinusoidal Approach},\n type = {article},\n year = {2022},\n volume = {12},\n websites = {https://www.mdpi.com/2077-0375/12/11/1056},\n id = {8b6f94ad-ec9b-38c9-950e-0a23d95cdfcf},\n created = {2022-10-31T13:38:08.653Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-10-31T13:38:08.653Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {membranes12111056},\n source_type = {article},\n private_publication = {false},\n abstract = {This paper validates a sinusoidal approach for the proton-exchange membrane fuel cell (PEMFC) model as a supplement to experimental studies. An FC simulation or hardware emulation is necessary for prototype design, testing, and fault diagnosis to reduce the overall cost. For this objective, a sinusoidal model that is capable of accurately estimating the voltage behavior from the operating current value of the DC was developed. The model was tested using experimental data from the Ballard Nexa 1.2 kW fuel cell (FC). This methodology offers a promising approach for static and current-voltage, characteristic of the three regions of operation. A study was carried out to evaluate the effectiveness and superiority of the proposed FC Sinusoidal model compared with the Diffusive Global model and the Evolution Strategy.},\n bibtype = {article},\n author = {González-Castaño, Catalina and Aalaila, Yahya and Restrepo, Carlos and Revelo-Fuelagán, Javier and Peluffo-Ordóñez, Diego Hernán},\n doi = {10.3390/membranes12111056},\n journal = {Membranes},\n number = {11}\n}
\n
\n\n\n
\n This paper validates a sinusoidal approach for the proton-exchange membrane fuel cell (PEMFC) model as a supplement to experimental studies. An FC simulation or hardware emulation is necessary for prototype design, testing, and fault diagnosis to reduce the overall cost. For this objective, a sinusoidal model that is capable of accurately estimating the voltage behavior from the operating current value of the DC was developed. The model was tested using experimental data from the Ballard Nexa 1.2 kW fuel cell (FC). This methodology offers a promising approach for static and current-voltage, characteristic of the three regions of operation. A study was carried out to evaluate the effectiveness and superiority of the proposed FC Sinusoidal model compared with the Diffusive Global model and the Evolution Strategy.\n
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\n  \n 2021\n \n \n (3)\n \n \n
\n
\n \n \n
\n \n\n \n \n \n \n \n \n An Interactive Framework to Compare Multi-criteria Optimization Algorithms: Preliminary Results on NSGA-II and MOPSO.\n \n \n \n \n\n\n \n Dorado-Sevilla, D., F.; Peluffo-Ordóñez, D., H.; Lorente-Leyva, L., L.; Herrera-Granda, E., P.; and Herrera-Granda, I., D.\n\n\n \n\n\n\n In Bindhu, V.; Tavares, J., M., R., S.; Boulogeorgos, A., A.; and Vuppalapati, C., editor(s), International Conference on Communication, Computing and Electronics Systems, pages 61-76, 2021. Springer Singapore\n \n\n\n\n
\n\n\n\n \n \n \"AnWebsite\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
@inproceedings{\n title = {An Interactive Framework to Compare Multi-criteria Optimization Algorithms: Preliminary Results on NSGA-II and MOPSO},\n type = {inproceedings},\n year = {2021},\n pages = {61-76},\n websites = {https://link.springer.com/chapter/10.1007/978-981-33-4909-4_5},\n publisher = {Springer Singapore},\n city = {Singapore},\n id = {aa7307b5-95a8-3924-9147-81465e56edcc},\n created = {2022-02-02T03:17:54.705Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:17:54.705Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {10.1007/978-981-33-4909-4_5},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {A problem of multi-criteria optimization, according to its approach, can mean either minimizing or maximizing a group of at least two objective functions to find the best possible set of solutions. There are several methods of multi-criteria optimization, in which the resulting solutions' quality varies depending on the method used and the complexity of the posed problem. A bibliographical review allowed us to notice that the methods derived from the evolutionary computation deliver good results and are commonly used in research works. Although comparative studies among these optimization methods have been found, the conclusions that these offer to the reader do not allow us to define a general rule that determines when one method is better than another. Therefore, the choice of a well-adapted optimization method can be a difficult task for non-experts in the field. To implement a graphical interface that allows non-expert users in multi-objective optimization is proposed to interact and compare the performance of the NSGA-II and MOPSO algorithms. It is chosen qualitatively from a group of five preselected algorithms as members of evolutionary algorithms and swarm intelligence. Therefore, a comparison methodology has been proposed to allow the user for analyzing the graphical and numerical results, which will observe the behavior of algorithms and determine the best suited one according to their needs.},\n bibtype = {inproceedings},\n author = {Dorado-Sevilla, David F and Peluffo-Ordóñez, Diego H and Lorente-Leyva, Leandro L and Herrera-Granda, Erick P and Herrera-Granda, Israel D},\n editor = {Bindhu, V and Tavares, João Manuel R S and Boulogeorgos, Alexandros-Apostolos A and Vuppalapati, Chandrasekar},\n booktitle = {International Conference on Communication, Computing and Electronics Systems}\n}
\n
\n\n\n
\n A problem of multi-criteria optimization, according to its approach, can mean either minimizing or maximizing a group of at least two objective functions to find the best possible set of solutions. There are several methods of multi-criteria optimization, in which the resulting solutions' quality varies depending on the method used and the complexity of the posed problem. A bibliographical review allowed us to notice that the methods derived from the evolutionary computation deliver good results and are commonly used in research works. Although comparative studies among these optimization methods have been found, the conclusions that these offer to the reader do not allow us to define a general rule that determines when one method is better than another. Therefore, the choice of a well-adapted optimization method can be a difficult task for non-experts in the field. To implement a graphical interface that allows non-expert users in multi-objective optimization is proposed to interact and compare the performance of the NSGA-II and MOPSO algorithms. It is chosen qualitatively from a group of five preselected algorithms as members of evolutionary algorithms and swarm intelligence. Therefore, a comparison methodology has been proposed to allow the user for analyzing the graphical and numerical results, which will observe the behavior of algorithms and determine the best suited one according to their needs.\n
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\n \n\n \n \n \n \n \n \n Analysis of Business Behavior in the Australian Market Under an Approach of Statistical Techniques and Economic Dimensions for Sustainable Business: A Case Study.\n \n \n \n \n\n\n \n Patiño-Alarcón, D., R.; Patiño-Alarcón, F., A.; Lorente-Leyva, L., L.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n In Proceedings of International Conference on Sustainable Expert Systems, pages 595-605, 2021. Springer Singapore\n \n\n\n\n
\n\n\n\n \n \n \"AnalysisWebsite\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
@inproceedings{\n title = {Analysis of Business Behavior in the Australian Market Under an Approach of Statistical Techniques and Economic Dimensions for Sustainable Business: A Case Study},\n type = {inproceedings},\n year = {2021},\n pages = {595-605},\n websites = {https://link.springer.com/chapter/10.1007/978-981-33-4355-9_44},\n publisher = {Springer Singapore},\n city = {Singapore},\n id = {f5bb1243-69ef-35ae-b1a0-ea24402cf9c2},\n created = {2022-02-02T03:17:54.977Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:17:54.977Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {10.1007/978-981-33-4355-9_44},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {This paper provides a current and future business analysis of small food services and products company. Analysis methods include tabulation of the dataset, as well as hypothesis testing by comparison between directly proportional variables such as price/quality and recommendations/customer loyalty. Other calculations include key economic dimensions, decisions influenced by the JobKeeper payment scheme, data on capital expenditure expectations, and future business conditions. The results of the analyzed data show that customer and company behavior is in parallel with global trade. In particular, the growth of the digital market and customer loyalty where they find a product that meets their quality needs. The analysis finds that the company's prospects in its current position are positive. Of the four variables identified, two will be reinforced by the economic and market strategies to be implemented. The work also investigates the fact that the analysis carried out has possible limitations. Some of the limitations are that not all the company was able to register in the JobKeeper payment scheme and the lack of use of key tools for sustainable marketing.},\n bibtype = {inproceedings},\n author = {Patiño-Alarcón, Delio R and Patiño-Alarcón, Fernando A and Lorente-Leyva, Leandro L and Peluffo-Ordóñez, Diego H},\n booktitle = {Proceedings of International Conference on Sustainable Expert Systems}\n}
\n
\n\n\n
\n This paper provides a current and future business analysis of small food services and products company. Analysis methods include tabulation of the dataset, as well as hypothesis testing by comparison between directly proportional variables such as price/quality and recommendations/customer loyalty. Other calculations include key economic dimensions, decisions influenced by the JobKeeper payment scheme, data on capital expenditure expectations, and future business conditions. The results of the analyzed data show that customer and company behavior is in parallel with global trade. In particular, the growth of the digital market and customer loyalty where they find a product that meets their quality needs. The analysis finds that the company's prospects in its current position are positive. Of the four variables identified, two will be reinforced by the economic and market strategies to be implemented. The work also investigates the fact that the analysis carried out has possible limitations. Some of the limitations are that not all the company was able to register in the JobKeeper payment scheme and the lack of use of key tools for sustainable marketing.\n
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\n \n\n \n \n \n \n \n \n Unsupervised Barter Model Based on Natural Human Interaction.\n \n \n \n \n\n\n \n Fernández-Fernández, Y.; Lorente-Leyva, L., L.; Peluffo-Ordóñez, D., H.; Pérez, R., M.; and Álvarez, E., N., C.\n\n\n \n\n\n\n In Hong, T.; Wojtkiewicz, K.; Chawuthai, R.; and Sitek, P., editor(s), Recent Challenges in Intelligent Information and Database Systems, pages 387-400, 2021. Springer Singapore\n \n\n\n\n
\n\n\n\n \n \n \"UnsupervisedWebsite\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
@inproceedings{\n title = {Unsupervised Barter Model Based on Natural Human Interaction},\n type = {inproceedings},\n year = {2021},\n pages = {387-400},\n websites = {https://link.springer.com/chapter/10.1007/978-981-16-1685-3_32},\n publisher = {Springer Singapore},\n city = {Singapore},\n id = {1b4a670d-3573-360b-b7b6-b762d142a1b8},\n created = {2022-02-02T03:17:55.247Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:17:55.247Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {fernandez2021unsupervisedbarter},\n source_type = {inproceedings},\n private_publication = {false},\n abstract = {Human interaction is a natural process in business management. In various indigenous cultures, the natives still use a barter system to reach consensus or balances that determine the essence of their economies. The present investigation consists of the presentation of an unsupervised model based on pure barter. The main contribution sought is to visualize the balance that is achieved in an unsupervised environment of two entities that are close to reaching an agreement. Both Game Theory and Walrasian Theory deal with the problem of exchange of goods. However, the current objective is to show the barter model from its simplest bases for the construction of an unsupervised automatic learning scheme where a system of pairs of agents represent a basic model for decision making when guaranteeing an agreement.},\n bibtype = {inproceedings},\n author = {Fernández-Fernández, Yasmany and Lorente-Leyva, Leandro L and Peluffo-Ordóñez, Diego H and Pérez, Ridelio Miranda and Álvarez, Elia N Cabrera},\n editor = {Hong, Tzung-Pei and Wojtkiewicz, Krystian and Chawuthai, Rathachai and Sitek, Pawel},\n booktitle = {Recent Challenges in Intelligent Information and Database Systems}\n}
\n
\n\n\n
\n Human interaction is a natural process in business management. In various indigenous cultures, the natives still use a barter system to reach consensus or balances that determine the essence of their economies. The present investigation consists of the presentation of an unsupervised model based on pure barter. The main contribution sought is to visualize the balance that is achieved in an unsupervised environment of two entities that are close to reaching an agreement. Both Game Theory and Walrasian Theory deal with the problem of exchange of goods. However, the current objective is to show the barter model from its simplest bases for the construction of an unsupervised automatic learning scheme where a system of pairs of agents represent a basic model for decision making when guaranteeing an agreement.\n
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\n  \n 2020\n \n \n (1)\n \n \n
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\n \n\n \n \n \n \n \n \n Comparison of controllers and mathematical modeling of a magnetic levitator.\n \n \n \n \n\n\n \n Herrera-Granda, E., P.; Herrera-Mayorga, K., A.; Herrera-Granda, I., D.; Martínez, L., M., S.; and Peluffo-Ordoñez, D., H.\n\n\n \n\n\n\n RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao. 2020.\n \n\n\n\n
\n\n\n\n \n \n \"ComparisonWebsite\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\n\n\n
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@article{\n title = {Comparison of controllers and mathematical modeling of a magnetic levitator},\n type = {article},\n year = {2020},\n keywords = {Comparison,Feedback Controller,Magnetic Levitator,Modeling,NARMA},\n websites = {https://search.proquest.com/docview/2350120753},\n id = {03e5a0e4-c12b-3c99-a965-93d57fbd0679},\n created = {2022-02-02T03:17:55.875Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:17:55.875Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Herrera-Granda2020},\n private_publication = {false},\n abstract = {This work presents the mathematical modeling and simulation of a magnetic levitator, and a comparison of different control techniques, applied on the system, in order to visualize which technique better stabilizes the magnetic levitator. The dynamical modeling was done applying the Newton Euler’s formulation, and the obtained equations were represented on the space state. Then the system was linearized applying Taylor’s approximation, and the obtained matrixes were used for the controller’s design. The employed controllers for the comparison were: Feedback Controller, Linear–quadratic regulator (LQR), and the neural-network based nonlinear autoregressive moving average controller (NARMA). Finally, the designed controllers and the plant were tested under several simulations using MATLAB and Symulink. The results proved that the three techniques were capable of stabilizing this particular system, and some significant advantages were found applying the NARMA and LQR techniques.},\n bibtype = {article},\n author = {Herrera-Granda, Erick P. and Herrera-Mayorga, Karla A. and Herrera-Granda, Israel D. and Martínez, Luz Marina Sierra and Peluffo-Ordoñez, Diego H.},\n journal = {RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao}\n}
\n
\n\n\n
\n This work presents the mathematical modeling and simulation of a magnetic levitator, and a comparison of different control techniques, applied on the system, in order to visualize which technique better stabilizes the magnetic levitator. The dynamical modeling was done applying the Newton Euler’s formulation, and the obtained equations were represented on the space state. Then the system was linearized applying Taylor’s approximation, and the obtained matrixes were used for the controller’s design. The employed controllers for the comparison were: Feedback Controller, Linear–quadratic regulator (LQR), and the neural-network based nonlinear autoregressive moving average controller (NARMA). Finally, the designed controllers and the plant were tested under several simulations using MATLAB and Symulink. The results proved that the three techniques were capable of stabilizing this particular system, and some significant advantages were found applying the NARMA and LQR techniques.\n
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\n  \n 2019\n \n \n (2)\n \n \n
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\n \n\n \n \n \n \n \n \n Optimization of the Master Production Scheduling in a Textile Industry Using Genetic Algorithm.\n \n \n \n \n\n\n \n Lorente-Leyva, L., L.; Murillo-Valle, J., R.; Montero-Santos, Y.; Herrera-Granda, I., D.; Herrera-Granda, E., P.; Rosero-Montalvo, P., D.; Peluffo-Ordóñez, D., H.; and Blanco-Valencia, X., P.\n\n\n \n\n\n\n Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 674-685. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"LectureWebsite\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
@inbook{\n type = {inbook},\n year = {2019},\n keywords = {Forecasting,Genetic algorithm,Master Production Scheduling,Optimization,Production planning,Textile industry},\n pages = {674-685},\n websites = {http://link.springer.com/10.1007/978-3-030-29859-3_57},\n id = {043e1292-5d7c-3a55-949c-e60dc63a9c14},\n created = {2022-02-02T03:17:56.169Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:17:56.169Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lorente-Leyva2019},\n private_publication = {false},\n abstract = {In a competitive environment, an industry’s success is directly related to the level of optimization of its processes, how production is planned and developed. In this area, the master production scheduling (MPS) is the key action for success. The object of study arises from the need to optimize the medium-term production planning system in a textile company, through genetic algorithms. This research begins with the analysis of the constraints, mainly determined by the installed capacity and the number of workers. The aggregate production planning is carried out for the T-shirts families. Due to such complexity, the application of bioinspired optimization techniques demonstrates their best performance, before industries that normally employ exact and simple methods that provide an empirical MPS but can compromise efficiency and costs. The products are then disaggregated for each of the items in which the MPS is determined, based on the analysis of the demand forecast, and the orders made by customers. From this, with the use of genetic algorithms, the MPS is optimized to carry out production planning, with an improvement of up to 96% of the level of service provided.},\n bibtype = {inbook},\n author = {Lorente-Leyva, Leandro L. and Murillo-Valle, Jefferson R. and Montero-Santos, Yakcleem and Herrera-Granda, Israel D. and Herrera-Granda, Erick P. and Rosero-Montalvo, Paul D. and Peluffo-Ordóñez, Diego H. and Blanco-Valencia, Xiomara P.},\n doi = {10.1007/978-3-030-29859-3_57},\n chapter = {Optimization of the Master Production Scheduling in a Textile Industry Using Genetic Algorithm},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}
\n
\n\n\n
\n In a competitive environment, an industry’s success is directly related to the level of optimization of its processes, how production is planned and developed. In this area, the master production scheduling (MPS) is the key action for success. The object of study arises from the need to optimize the medium-term production planning system in a textile company, through genetic algorithms. This research begins with the analysis of the constraints, mainly determined by the installed capacity and the number of workers. The aggregate production planning is carried out for the T-shirts families. Due to such complexity, the application of bioinspired optimization techniques demonstrates their best performance, before industries that normally employ exact and simple methods that provide an empirical MPS but can compromise efficiency and costs. The products are then disaggregated for each of the items in which the MPS is determined, based on the analysis of the demand forecast, and the orders made by customers. From this, with the use of genetic algorithms, the MPS is optimized to carry out production planning, with an improvement of up to 96% of the level of service provided.\n
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\n \n\n \n \n \n \n \n \n Optimization of the Network of Urban Solid Waste Containers: A Case Study.\n \n \n \n \n\n\n \n Herrera-Granda, I., D.; Imbaquingo-Usiña, W., G.; Lorente-Leyva, L., L.; Herrera-Granda, E., P.; Peluffo-Ordóñez, D., H.; and Rossit, D., G.\n\n\n \n\n\n\n Communications in Computer and Information Science, pages 578-589. 2019.\n \n\n\n\n
\n\n\n\n \n \n \"CommunicationsWebsite\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
@inbook{\n type = {inbook},\n year = {2019},\n keywords = {Collection network,Facility Location Problem,NP-hard,Optimization,Reverse logistics,Urban solid waste},\n pages = {578-589},\n websites = {http://link.springer.com/10.1007/978-3-030-05532-5_44},\n id = {bea02c99-e97b-31af-8b39-9f23bb796385},\n created = {2022-02-02T03:17:56.434Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:17:56.434Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Herrera-Granda2019b},\n private_publication = {false},\n abstract = {This paper presents the results of the optimization of the urban solid waste container network in the urban sector of the Ibarra City, Ecuador by the implementation of an optimization model, which consists of a multi-objective mixed integer programming model which has been successfully used in the context of recycling in past studies. This model was modified so that possible locations of the containers at each corner of the blocks containing the constructed buildings were considered. As well, a restriction to count the containers to be installed was added. Furthermore, to add robustness to the model, it was also considered the filling of the container based on the density of the deposited waste and the model objective functions – being, a weighted sum of the cost of the installation of the network along with the average walking distance between users and the assigned containers. The outputs of the model are the total number of containers and a map with the optimal locations of municipal solid waste containers for Ibarra city. The model was implemented in GAMS platform wherein parameters can be permanently revised so that the results may be updated in case of variations of the initial conditions.},\n bibtype = {inbook},\n author = {Herrera-Granda, Israel D. and Imbaquingo-Usiña, Wilson G. and Lorente-Leyva, Leandro L. and Herrera-Granda, Erick P. and Peluffo-Ordóñez, Diego H. and Rossit, Diego G.},\n doi = {10.1007/978-3-030-05532-5_44},\n chapter = {Optimization of the Network of Urban Solid Waste Containers: A Case Study},\n title = {Communications in Computer and Information Science}\n}
\n
\n\n\n
\n This paper presents the results of the optimization of the urban solid waste container network in the urban sector of the Ibarra City, Ecuador by the implementation of an optimization model, which consists of a multi-objective mixed integer programming model which has been successfully used in the context of recycling in past studies. This model was modified so that possible locations of the containers at each corner of the blocks containing the constructed buildings were considered. As well, a restriction to count the containers to be installed was added. Furthermore, to add robustness to the model, it was also considered the filling of the container based on the density of the deposited waste and the model objective functions – being, a weighted sum of the cost of the installation of the network along with the average walking distance between users and the assigned containers. The outputs of the model are the total number of containers and a map with the optimal locations of municipal solid waste containers for Ibarra city. The model was implemented in GAMS platform wherein parameters can be permanently revised so that the results may be updated in case of variations of the initial conditions.\n
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\n  \n 2018\n \n \n (5)\n \n \n
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\n \n\n \n \n \n \n \n \n Building a Nasa Yuwe Language Corpus and Tagging with a Metaheuristic Approach.\n \n \n \n \n\n\n \n Sierra Martínez, L., M.; Cobos, C., A.; Corrales Muñoz, J., C.; Rojas Curieux, T.; Herrera-Viedma, E.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Computación y Sistemas, 22(3). 9 2018.\n \n\n\n\n
\n\n\n\n \n \n \"BuildingWebsite\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
@article{\n title = {Building a Nasa Yuwe Language Corpus and Tagging with a Metaheuristic Approach},\n type = {article},\n year = {2018},\n keywords = {Global-best harmony search,Harmony search,Hill climbing,Nasa Yuwe language,Part of speech tagger,Tabu memory,Tagged corpus},\n volume = {22},\n websites = {http://www.cys.cic.ipn.mx/ojs/index.php/CyS/article/view/3018},\n month = {9},\n day = {30},\n id = {de35f62b-dc10-30d4-889f-5168f463b45c},\n created = {2022-02-02T03:17:56.695Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:17:56.695Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {SierraMartinez2018},\n private_publication = {false},\n abstract = {Nasa Yuwe is the language of the Nasa indigenous community in Colombia. It is currently threatened with extinction. In this regard, a range of computer science solutions have been developed to the teaching and revitalization of the language. One of the most suitable approaches is the construction of a Part- Of-Speech Tagging (POST), which encourages the analysis and advanced processing of the language. Nevertheless, for Nasa Yuwe no tagged corpus exists, neither is there a POS Tagger and no related works have been reported. This paper therefore concentrates on building a linguistic corpus tagged for the Nasa Yuwe language and generating the first tagging application for Nasa Yuwe. The main results and findings are 1) the process of building the Nasa Yuwe corpus, 2) the tagsets and tagged sentences, as well as the statistics associated with the corpus, 3) results of two experiments to evaluate several POS Taggers (a Random tagger, three versions of HSTAGger, a tagger based on the harmony search metaheuristic, and three versions of a memetic algorithm GBHS Tagger, based on Global-Best Harmony Search (GBHS), Hill Climbing and an explicit Tabu memory, which obtained the best results in contrast with the other methods considered over the Nasa Yuwe language corpus.},\n bibtype = {article},\n author = {Sierra Martínez, Luz Marina and Cobos, Carlos Alberto and Corrales Muñoz, Juan Carlos and Rojas Curieux, Tulio and Herrera-Viedma, Enrique and Peluffo-Ordóñez, Diego Hernán},\n doi = {10.13053/cys-22-3-3018},\n journal = {Computación y Sistemas},\n number = {3}\n}
\n
\n\n\n
\n Nasa Yuwe is the language of the Nasa indigenous community in Colombia. It is currently threatened with extinction. In this regard, a range of computer science solutions have been developed to the teaching and revitalization of the language. One of the most suitable approaches is the construction of a Part- Of-Speech Tagging (POST), which encourages the analysis and advanced processing of the language. Nevertheless, for Nasa Yuwe no tagged corpus exists, neither is there a POS Tagger and no related works have been reported. This paper therefore concentrates on building a linguistic corpus tagged for the Nasa Yuwe language and generating the first tagging application for Nasa Yuwe. The main results and findings are 1) the process of building the Nasa Yuwe corpus, 2) the tagsets and tagged sentences, as well as the statistics associated with the corpus, 3) results of two experiments to evaluate several POS Taggers (a Random tagger, three versions of HSTAGger, a tagger based on the harmony search metaheuristic, and three versions of a memetic algorithm GBHS Tagger, based on Global-Best Harmony Search (GBHS), Hill Climbing and an explicit Tabu memory, which obtained the best results in contrast with the other methods considered over the Nasa Yuwe language corpus.\n
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\n \n\n \n \n \n \n \n \n Cardiac Pulse Modeling Using a Modified van der Pol Oscillator and Genetic Algorithms.\n \n \n \n \n\n\n \n Lopez-Chamorro, F., M.; Arciniegas-Mejia, A., F.; Imbajoa-Ruiz, D., E.; Rosero-Montalvo, P., D.; García, P.; Castro-Ospina, A., E.; Acosta, A.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 96-106. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"LectureWebsite\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 1 download\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 = {2018},\n pages = {96-106},\n websites = {http://link.springer.com/10.1007/978-3-319-78723-7_8},\n id = {78578504-51c9-38ab-94b0-612529f8c8e3},\n created = {2022-02-02T03:17:57.009Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:17:57.009Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Lopez-Chamorro2018},\n private_publication = {false},\n abstract = {This paper proposes an approach for modeling cardiac pulses from electrocardiographic signals (ECG). A modified van der Pol oscillator model (mvP) is analyzed, which, under a proper configuration, is capable of describing action potentials, and, therefore, it can be adapted for modeling a normal cardiac pulse. Adequate parameters of the mvP system response are estimated using non-linear dynamics methods, like dynamic time warping (DTW). In order to represent an adaptive response for each individual heartbeat, a parameter tuning optimization method is applied which is based on a genetic algorithm that generates responses that morphologically resemble real ECG. This feature is particularly relevant since heartbeats have intrinsically strong variability in terms of both shape and length. Experiments are performed over real ECG from MIT-BIH arrhythmias database. The application of the optimization process shows that the mvP oscillator can be used properly to model the ideal cardiac rate pulse.},\n bibtype = {inbook},\n author = {Lopez-Chamorro, Fabián M. and Arciniegas-Mejia, Andrés F. and Imbajoa-Ruiz, David Esteban and Rosero-Montalvo, Paul D. and García, Pedro and Castro-Ospina, Andrés Eduardo and Acosta, Antonio and Peluffo-Ordóñez, Diego Hernán},\n doi = {10.1007/978-3-319-78723-7_8},\n chapter = {Cardiac Pulse Modeling Using a Modified van der Pol Oscillator and Genetic Algorithms},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}
\n
\n\n\n
\n This paper proposes an approach for modeling cardiac pulses from electrocardiographic signals (ECG). A modified van der Pol oscillator model (mvP) is analyzed, which, under a proper configuration, is capable of describing action potentials, and, therefore, it can be adapted for modeling a normal cardiac pulse. Adequate parameters of the mvP system response are estimated using non-linear dynamics methods, like dynamic time warping (DTW). In order to represent an adaptive response for each individual heartbeat, a parameter tuning optimization method is applied which is based on a genetic algorithm that generates responses that morphologically resemble real ECG. This feature is particularly relevant since heartbeats have intrinsically strong variability in terms of both shape and length. Experiments are performed over real ECG from MIT-BIH arrhythmias database. The application of the optimization process shows that the mvP oscillator can be used properly to model the ideal cardiac rate pulse.\n
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\n \n\n \n \n \n \n \n \n Advances in Homotopy Applied to Object Deformation.\n \n \n \n \n\n\n \n Salazar-Castro, J., A.; Umaquinga-Criollo, A., C.; Cruz-Cruz, L., D.; Alpala-Alpala, L., O.; González-Castaño, C.; Becerra-Botero, M., A.; Peluffo-Ordóñez, D., H.; and Castellanos-Domínguez, C., G.\n\n\n \n\n\n\n Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 231-242. 2018.\n \n\n\n\n
\n\n\n\n \n \n \"LectureWebsite\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 3 downloads\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
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@inbook{\n type = {inbook},\n year = {2018},\n keywords = {Homotopy,Object deformation,Smooth transitions,Transcendental functions},\n pages = {231-242},\n websites = {http://link.springer.com/10.1007/978-3-319-78759-6_22},\n id = {3d265418-0aed-3817-acaf-470b5c77d091},\n created = {2022-02-02T03:17:57.277Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:17:57.277Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Salazar-Castro2018b},\n private_publication = {false},\n abstract = {This work explores novel alternatives to conventional linear homotopy to enhance the quality of resulting transitions from object deformation applications. Studied/introduced approaches extend the linear mapping to other representations that provides smooth transitions when deforming objects while homotopy conditions are fulfilled. Such homotopy approaches are based on transcendental functions (TFH) in both simple and parametric versions. As well, we propose a variant of an existing quality indicator based on the ratio between the coefficients curve of resultant homotopy and that of a less-realistic, reference homotopy. Experimental results depict the effect of proposed TFH approaches regarding its usability and benefit for interpolating images formed by homotopic objects with smooth changes.},\n bibtype = {inbook},\n author = {Salazar-Castro, Jose Alejandro and Umaquinga-Criollo, Ana Cristina and Cruz-Cruz, Lilian Dayana and Alpala-Alpala, Luis Omar and González-Castaño, Catalina and Becerra-Botero, Miguel A. and Peluffo-Ordóñez, Diego Hernán and Castellanos-Domínguez, Cesar Germán},\n doi = {10.1007/978-3-319-78759-6_22},\n chapter = {Advances in Homotopy Applied to Object Deformation},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}
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\n This work explores novel alternatives to conventional linear homotopy to enhance the quality of resulting transitions from object deformation applications. Studied/introduced approaches extend the linear mapping to other representations that provides smooth transitions when deforming objects while homotopy conditions are fulfilled. Such homotopy approaches are based on transcendental functions (TFH) in both simple and parametric versions. As well, we propose a variant of an existing quality indicator based on the ratio between the coefficients curve of resultant homotopy and that of a less-realistic, reference homotopy. Experimental results depict the effect of proposed TFH approaches regarding its usability and benefit for interpolating images formed by homotopic objects with smooth changes.\n
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\n \n\n \n \n \n \n \n \n Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms.\n \n \n \n \n\n\n \n Herrera-Granda, I., D.; Lorente-Leyva, L., L.; Peluffo-Ordóñez, D., H.; Valencia-Chapi, R., M.; Montero-Santos, Y.; Chicaiza-Vaca, J., L.; and Castro-Ospina, A., E.\n\n\n \n\n\n\n Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pages 95-107. 2018.\n \n\n\n\n
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@inbook{\n type = {inbook},\n year = {2018},\n keywords = {Clustering algorithms,Contraction hierarchies,Free software,K-means,Optimization,University transportation,Vehicle routing},\n pages = {95-107},\n websites = {http://link.springer.com/10.1007/978-3-319-92639-1_9},\n id = {e4809b99-5085-385c-a941-b335fde221d5},\n created = {2022-02-02T03:17:57.537Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:17:57.537Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Herrera-Granda2018},\n private_publication = {false},\n abstract = {This research work focuses on the study of different models of solution reflected in the literature, which treat the optimization of the routing of vehicles by nodes and the optimal route for the university transport service. With the recent expansion of the facilities of a university institution, the allocation of the routes for the transport of its students, became more complex. As a result, geographic information systems (GIS) tools and operations research methodologies are applied, such as graph theory and vehicular routing problems, to facilitate mobilization and improve the students transport service, as well as optimizing the transfer time and utilization of the available transport units. An optimal route management procedure has been implemented to maximize the level of service of student transport using the K-means clustering algorithm and the method of node contraction hierarchies, with low cost due to the use of free software.},\n bibtype = {inbook},\n author = {Herrera-Granda, Israel D. and Lorente-Leyva, Leandro L. and Peluffo-Ordóñez, Diego H. and Valencia-Chapi, Robert M. and Montero-Santos, Yakcleem and Chicaiza-Vaca, Jorge L. and Castro-Ospina, Andrés E.},\n doi = {10.1007/978-3-319-92639-1_9},\n chapter = {Optimization of the University Transportation by Contraction Hierarchies Method and Clustering Algorithms},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}
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\n This research work focuses on the study of different models of solution reflected in the literature, which treat the optimization of the routing of vehicles by nodes and the optimal route for the university transport service. With the recent expansion of the facilities of a university institution, the allocation of the routes for the transport of its students, became more complex. As a result, geographic information systems (GIS) tools and operations research methodologies are applied, such as graph theory and vehicular routing problems, to facilitate mobilization and improve the students transport service, as well as optimizing the transfer time and utilization of the available transport units. An optimal route management procedure has been implemented to maximize the level of service of student transport using the K-means clustering algorithm and the method of node contraction hierarchies, with low cost due to the use of free software.\n
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\n \n\n \n \n \n \n \n \n Methodology for the design and simulation of industrial facilities and production systems based on a modular approach in an \"industry 4.0\" context.\n \n \n \n \n\n\n \n Alpala, L., O.; Alemany, M., d., M., E.; Peluffo, D., H.; Bolaños, F., A.; Rosero, A., M.; and Torres, J., C.\n\n\n \n\n\n\n DYNA, 85(207): 243-252. 10 2018.\n \n\n\n\n
\n\n\n\n \n \n \"MethodologyWebsite\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
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@article{\n title = {Methodology for the design and simulation of industrial facilities and production systems based on a modular approach in an "industry 4.0" context},\n type = {article},\n year = {2018},\n keywords = {Coffee processing plant,Industrial facilities,Industry 4.0,Layout,Production system,Simulation},\n pages = {243-252},\n volume = {85},\n websites = {https://revistas.unal.edu.co/index.php/dyna/article/view/68545},\n month = {10},\n day = {1},\n id = {ccc33c32-c0a6-364b-b9dd-6410f650faae},\n created = {2022-02-02T03:57:06.152Z},\n file_attached = {false},\n profile_id = {aba9653c-d139-3f95-aad8-969c487ed2f3},\n group_id = {e354308b-8200-3790-866d-9d1e84315773},\n last_modified = {2022-02-02T03:57:06.152Z},\n read = {false},\n starred = {false},\n authored = {false},\n confirmed = {true},\n hidden = {false},\n citation_key = {Alpala2018},\n private_publication = {false},\n abstract = {The design of the industrial facilities distribution is one of the most important decisions to be made, as it will condition the operation thereof. The concept of industrial installation as it is known today has evolved to the point that it integrates automation and information systems. Indeed, such evolution has given rise to the so-called intelligent factory. At present, in order to produce customized mass products according to customers' requirements, it is become an important issue the distribution of facilities with the generation of successful layout designs, based on the flexibility, modularity and easy configuration of production systems.This paper proposes a methodology to solve the problem of plant distribution design and redesign based upon a novel modular approach within an industry 4.0 context. Proposed methodology is an adaptation of the "SLP" Methodology (Systematic Layout Planning-Simulation) so-called SLP Modulary 4.0 (systematic planning of the Layout based on a modular vision under a context of Industry 4.0); this methodology incorporates in its structure an integrated design system (IDS) into its structure, which allows collaborative work with different CAD design and simulation tools. For the validation of the proposed methodology, a case study of a coffee processing plant is considered. The distribution design results obtained from the case study prove the benefit and usefulness of the proposed methodology.},\n bibtype = {article},\n author = {Alpala, Luis Omar and Alemany, Maria del Mar Eva and Peluffo, DIego Hernán and Bolaños, Fabio Andres and Rosero, Aura Maria and Torres, Juan Carlos},\n doi = {10.15446/dyna.v85n207.68545},\n journal = {DYNA},\n number = {207}\n}
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\n The design of the industrial facilities distribution is one of the most important decisions to be made, as it will condition the operation thereof. The concept of industrial installation as it is known today has evolved to the point that it integrates automation and information systems. Indeed, such evolution has given rise to the so-called intelligent factory. At present, in order to produce customized mass products according to customers' requirements, it is become an important issue the distribution of facilities with the generation of successful layout designs, based on the flexibility, modularity and easy configuration of production systems.This paper proposes a methodology to solve the problem of plant distribution design and redesign based upon a novel modular approach within an industry 4.0 context. Proposed methodology is an adaptation of the \"SLP\" Methodology (Systematic Layout Planning-Simulation) so-called SLP Modulary 4.0 (systematic planning of the Layout based on a modular vision under a context of Industry 4.0); this methodology incorporates in its structure an integrated design system (IDS) into its structure, which allows collaborative work with different CAD design and simulation tools. For the validation of the proposed methodology, a case study of a coffee processing plant is considered. The distribution design results obtained from the case study prove the benefit and usefulness of the proposed methodology.\n
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