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\n\n \n \n 2021\n \n \n (2)\n \n \n
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\n \n \n\n \n \n \n \n \n \n Design of an On-Grid Microinverter Control Technique for Managing Active and Reactive Power in a Microgrid.\n \n \n \n \n\n\n \n Burbano-Benavides, D., S.; Ortiz-Sotelo, O., D.; Revelo-Fuelagán, J.; and Candelo-Becerra, J., E.\n\n\n \n\n\n\n Applied Sciences, 11(11): 4765. 5 2021.\n \n\n\n\n
\n\n\n\n \n \n![\"Design](\"//bibbase.org/img/filetypes/link.svg\"\n\t "\\"Website\\"\n\t")
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\n\n\n@article{\n title = {Design of an On-Grid Microinverter Control Technique for Managing Active and Reactive Power in a Microgrid},\n type = {article},\n year = {2021},\n keywords = {Active power control,Microgrid,Microinverter,Reactive power control},\n pages = {4765},\n volume = {11},\n websites = {https://www.mdpi.com/2076-3417/11/11/4765},\n month = {5},\n day = {22},\n id = {ee14b691-82ff-356a-833a-d013575751cd},\n created = {2022-04-11T02:48:24.968Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2022-04-11T02:54:09.529Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This paper presents the design and implementation of an on-grid microinverter control technique for managing active and reactive power based on a dq transformation. The system was implemented in a solar microinverter development kit (Texas Instruments—TMDSSOLARUINVKIT). This microinverter has two stages: DC-DC and DC-AC. The DC-DC stage contains an active clamp flyback converter, where the maximum power point tracking (MPPT) of the solar panel is obtained with a current-based incremental conductance algorithm. The DC-AC stage comprises a dual-buck inverter in which voltage-, current-, and phase-tracking control loops are implemented to control the active and reactive power. These techniques were simulated in MATLAB using the proposed mathematical model and experimentally validated in the solar development kit. The results show that the simulated model behaved similarly to the real system, and the control techniques presented good performance. The maximum power point (MPP) of the solar panel was monitored in the DC-DC stage using a current reference provided by the incremental conductance MPPT algorithm and was regulated by a 2P2Z control. The algorithm is robust against continuous changes in irradiance, as it quickly follows the ideal power and continually operates at a point close to the MPP. In addition, the active and reactive power control in the DC-AC stage enables the microinverter to supply the maximum active power. Moreover, the microinverter supplies reactive power according to a defined reference and within the established limits. The proposed mathematical model of the microinverter can be used to design new control techniques and other microinverter topologies. In addition, this active and reactive power-control technique can be implemented in low-power and low-cost microinverters to successfully maintain power quality in small microgrids.},\n bibtype = {article},\n author = {Burbano-Benavides, Donovan Steven and Ortiz-Sotelo, Oscar David and Revelo-Fuelagán, Javier and Candelo-Becerra, John E.},\n doi = {10.3390/app11114765},\n journal = {Applied Sciences},\n number = {11}\n}\n\n This paper presents the design and implementation of an on-grid microinverter control technique for managing active and reactive power based on a dq transformation. The system was implemented in a solar microinverter development kit (Texas Instruments—TMDSSOLARUINVKIT). This microinverter has two stages: DC-DC and DC-AC. The DC-DC stage contains an active clamp flyback converter, where the maximum power point tracking (MPPT) of the solar panel is obtained with a current-based incremental conductance algorithm. The DC-AC stage comprises a dual-buck inverter in which voltage-, current-, and phase-tracking control loops are implemented to control the active and reactive power. These techniques were simulated in MATLAB using the proposed mathematical model and experimentally validated in the solar development kit. The results show that the simulated model behaved similarly to the real system, and the control techniques presented good performance. The maximum power point (MPP) of the solar panel was monitored in the DC-DC stage using a current reference provided by the incremental conductance MPPT algorithm and was regulated by a 2P2Z control. The algorithm is robust against continuous changes in irradiance, as it quickly follows the ideal power and continually operates at a point close to the MPP. In addition, the active and reactive power control in the DC-AC stage enables the microinverter to supply the maximum active power. Moreover, the microinverter supplies reactive power according to a defined reference and within the established limits. The proposed mathematical model of the microinverter can be used to design new control techniques and other microinverter topologies. In addition, this active and reactive power-control technique can be implemented in low-power and low-cost microinverters to successfully maintain power quality in small microgrids.\n
\n\n\n\n \n\n \n \n \n \n \n \n A Fast-Tracking Hybrid MPPT Based on Surface-Based Polynomial Fitting and P&O Methods for Solar PV under Partial Shaded Conditions.\n \n \n \n \n\n\n \n González-Castaño, C.; Restrepo, C.; Revelo-Fuelagán, J.; Lorente-Leyva, L., L.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Mathematics, 9(21): 2732. 10 2021.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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
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\n\n\n@article{\n title = {A Fast-Tracking Hybrid MPPT Based on Surface-Based Polynomial Fitting and P&O Methods for Solar PV under Partial Shaded Conditions},\n type = {article},\n year = {2021},\n keywords = {Maximum power point tracking,Partial shading conditions,Photovoltaic system,Surface-based polynomial fitting},\n pages = {2732},\n volume = {9},\n websites = {https://www.mdpi.com/2227-7390/9/21/2732},\n month = {10},\n day = {28},\n id = {62b17b57-a98a-3e20-aa14-efc547450e24},\n created = {2022-04-11T02:48:24.975Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2022-04-11T02:54:09.527Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {The efficiency of photovoltaic (PV) systems depends directly on solar irradiation, so drastic variations in solar exposure will undoubtedly move its maximum power point (MPP). Furthermore, the presence of partial shading conditions (PSCs) generates local maximum power points (LMPPs) and one global maximum power point (GMPP) in the P-V characteristic curve. Therefore, a proper maximum power point tracking (MPPT) technique is crucial to increase PV system efficiency. There are classical, intelligent, optimal, and hybrid MPPT techniques; this paper presents a novel hybrid MPPT technique that combines Surface-Based Polynomial Fitting (SPF) and Perturbation and Observation (P&O) for solar PV generation under PSCs. The development of the experimental PV system has two stages: (i) Modeling the PV array with the DC-DC boost converter using a real-time and high-speed simulator (PLECS RT Box), (ii) and implementing the proposed GMPPT algorithm with the double-loop controller of the DC-DC boost converter in a commercial low-priced digital signal controller (DSC). According to the simulation and the experimental results, the suggested hybrid algorithm is effective at tracking the GMPP under both uniform and nonuniform irradiance conditions in six scenarios: (i) system start-up, (ii) uniform irradiance variations, (iii) sharp change of the (PSCs), (iv) multiple peaks in the P-V characteristic, (v) dark cloud passing, and (vi) light cloud passing. Finally, the experimental results—through the standard errors and the mean power tracked and tracking factor scores—proved that the proposed hybrid SPF-P&O MPPT technique reaches the convergence to GMPP faster than benchmark approaches when dealing with PSCs.},\n bibtype = {article},\n author = {González-Castaño, Catalina and Restrepo, Carlos and Revelo-Fuelagán, Javier and Lorente-Leyva, Leandro L. and Peluffo-Ordóñez, Diego H.},\n doi = {10.3390/math9212732},\n journal = {Mathematics},\n number = {21}\n}\n\n The efficiency of photovoltaic (PV) systems depends directly on solar irradiation, so drastic variations in solar exposure will undoubtedly move its maximum power point (MPP). Furthermore, the presence of partial shading conditions (PSCs) generates local maximum power points (LMPPs) and one global maximum power point (GMPP) in the P-V characteristic curve. Therefore, a proper maximum power point tracking (MPPT) technique is crucial to increase PV system efficiency. There are classical, intelligent, optimal, and hybrid MPPT techniques; this paper presents a novel hybrid MPPT technique that combines Surface-Based Polynomial Fitting (SPF) and Perturbation and Observation (P&O) for solar PV generation under PSCs. The development of the experimental PV system has two stages: (i) Modeling the PV array with the DC-DC boost converter using a real-time and high-speed simulator (PLECS RT Box), (ii) and implementing the proposed GMPPT algorithm with the double-loop controller of the DC-DC boost converter in a commercial low-priced digital signal controller (DSC). According to the simulation and the experimental results, the suggested hybrid algorithm is effective at tracking the GMPP under both uniform and nonuniform irradiance conditions in six scenarios: (i) system start-up, (ii) uniform irradiance variations, (iii) sharp change of the (PSCs), (iv) multiple peaks in the P-V characteristic, (v) dark cloud passing, and (vi) light cloud passing. Finally, the experimental results—through the standard errors and the mean power tracked and tracking factor scores—proved that the proposed hybrid SPF-P&O MPPT technique reaches the convergence to GMPP faster than benchmark approaches when dealing with PSCs.\n
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\n\n \n \n 2020\n \n \n (5)\n \n \n
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\n \n \n\n \n \n \n \n \n \n A data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia.\n \n \n \n \n\n\n \n Parraga-Alava, J.; Moncayo-Nacaza, J., D.; Revelo-Fuelagán, J.; Rosero-Montalvo, P., D.; Anaya-Isaza, A.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Data in Brief, 29: 105246. 4 2020.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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 15 downloads\n \n \n\n \n \n \n \n \n \n \n\n \n \n \n\n\n\n
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\n\n\n@article{\n title = {A data set for electric power consumption forecasting based on socio-demographic features: Data from an area of southern Colombia},\n type = {article},\n year = {2020},\n pages = {105246},\n volume = {29},\n websites = {https://linkinghub.elsevier.com/retrieve/pii/S2352340920301402},\n month = {4},\n id = {38a02697-ac4f-36b6-ba60-93d4303b4080},\n created = {2021-01-31T23:07:18.198Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T18:48:58.708Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {In this article, we introduce a data set concerning electric-power consumption-related features registered in seven main municipalities of Nariño, Colombia, from December 2010 to May 2016. The data set consists of 4427 socio-demographic characteristics, and 7 power-consumption-referred measured values. Data were fully collected by the company Centrales Eléctricas de Nariño (CEDENAR) according to the client consumption records. Power consumption data collection was carried following a manual procedure wherein company workers are in charge of manually registering the readings (measured in kWh) reported by the electric energy meters installed at each housing/building. Released data set is aimed at providing researchers a suitable input for designing and assessing the performance of forecasting, modelling, simulation and optimization approaches applied to electric power consumption prediction and characterization problems. The data set, so-named in shorthand PCSTCOL, is freely and publicly available at https://doi.org/10.17632/xbt7scz5ny.3.},\n bibtype = {article},\n author = {Parraga-Alava, Jorge and Moncayo-Nacaza, Jorge Dario and Revelo-Fuelagán, Javier and Rosero-Montalvo, Paul D. and Anaya-Isaza, Andrés and Peluffo-Ordóñez, Diego Hernán},\n doi = {10.1016/j.dib.2020.105246},\n journal = {Data in Brief}\n}\n\n In this article, we introduce a data set concerning electric-power consumption-related features registered in seven main municipalities of Nariño, Colombia, from December 2010 to May 2016. The data set consists of 4427 socio-demographic characteristics, and 7 power-consumption-referred measured values. Data were fully collected by the company Centrales Eléctricas de Nariño (CEDENAR) according to the client consumption records. Power consumption data collection was carried following a manual procedure wherein company workers are in charge of manually registering the readings (measured in kWh) reported by the electric energy meters installed at each housing/building. Released data set is aimed at providing researchers a suitable input for designing and assessing the performance of forecasting, modelling, simulation and optimization approaches applied to electric power consumption prediction and characterization problems. The data set, so-named in shorthand PCSTCOL, is freely and publicly available at https://doi.org/10.17632/xbt7scz5ny.3.\n
\n\n\n\n \n\n \n \n \n \n \n \n Power Factor Correction of Compact Fluorescent and Tubular LED Lamps by Boost Converter with Hysteretic Control.\n \n \n \n \n\n\n \n Revelo-Fuelagán, J.; Candelo-Becerra, J., E.; and Hoyos, F., E.\n\n\n \n\n\n\n Journal of Daylighting, 7(1): 73-83. 4 2020.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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
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\n\n\n@article{\n title = {Power Factor Correction of Compact Fluorescent and Tubular LED Lamps by Boost Converter with Hysteretic Control},\n type = {article},\n year = {2020},\n keywords = {Boost converter,Compact fluorescent lamp,Harmonics,LED lamp},\n pages = {73-83},\n volume = {7},\n websites = {https://solarlits.com/jd/7-73},\n month = {4},\n day = {2},\n id = {67a44f80-315d-3a9e-a11d-7d22082577df},\n created = {2021-02-06T20:35:41.764Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-07T02:26:06.799Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Compact Fluorescent Lamps (CFLs) and Light-emitting Diode (LED) lamps have received wide acceptance in lighting applications during the last few years. However, without a power factor correction (PFC), the lamps reach a lagging power factor below 0.64 while the total harmonic distortion (THD) in the input current can be over 136%. Therefore, this paper presents an efficient, small size, low cost, and analog technology based on PFC for CFLs and tubular LED lamps. The topology to couple the line with the ballast of the lamp consists of a boost electronic converter under a hysteretic controller that is designed based on hysteretic current mode control. Besides, an experimental prototype is implemented with the PFC applied to a 15 W CFL and 12 W tubular LED lamp. The results show that the prototype corrects the lagging power factor to a value close to 0.98 and that harmonic levels are obtained below the limits set by the IEC 61000-3-2 Class C standard. Furthermore, the test showed that lamps with the PFC can be switched on and off more times than lamps without the PFC due to the low THD produced in the CFL, thus avoiding abrupt changes in the line current. These results are promising, as the controller does not require a compensation ramp as in other PWM control strategies, and it can be adapted to any type of lamp that draws a pulsating input current. In addition, the proposed controller could be applied to correct the power factor or regulate voltage for other applications, as it is an autonomous control technique with compact implementation.},\n bibtype = {article},\n author = {Revelo-Fuelagán, Javier and Candelo-Becerra, John E. and Hoyos, Fredy E.},\n doi = {10.15627/jd.2020.6},\n journal = {Journal of Daylighting},\n number = {1}\n}\n\n Compact Fluorescent Lamps (CFLs) and Light-emitting Diode (LED) lamps have received wide acceptance in lighting applications during the last few years. However, without a power factor correction (PFC), the lamps reach a lagging power factor below 0.64 while the total harmonic distortion (THD) in the input current can be over 136%. Therefore, this paper presents an efficient, small size, low cost, and analog technology based on PFC for CFLs and tubular LED lamps. The topology to couple the line with the ballast of the lamp consists of a boost electronic converter under a hysteretic controller that is designed based on hysteretic current mode control. Besides, an experimental prototype is implemented with the PFC applied to a 15 W CFL and 12 W tubular LED lamp. The results show that the prototype corrects the lagging power factor to a value close to 0.98 and that harmonic levels are obtained below the limits set by the IEC 61000-3-2 Class C standard. Furthermore, the test showed that lamps with the PFC can be switched on and off more times than lamps without the PFC due to the low THD produced in the CFL, thus avoiding abrupt changes in the line current. These results are promising, as the controller does not require a compensation ramp as in other PWM control strategies, and it can be adapted to any type of lamp that draws a pulsating input current. In addition, the proposed controller could be applied to correct the power factor or regulate voltage for other applications, as it is an autonomous control technique with compact implementation.\n
\n\n\n\n \n\n \n \n \n \n \n \n Forecasting the Consumer Price Index (CPI) of Ecuador: A Comparative Study of Predictive Models.\n \n \n \n \n\n\n \n Riofrío, J.; Chang, O.; Revelo-Fuelagán, E., J.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n International Journal on Advanced Science, Engineering and Information Technology, 10(3): 1078. 6 2020.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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 9 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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\n\n\n@article{\n title = {Forecasting the Consumer Price Index (CPI) of Ecuador: A Comparative Study of Predictive Models},\n type = {article},\n year = {2020},\n keywords = {Consumer Price Index (CPI),Ecuador,Forecasting,Predictive models},\n pages = {1078},\n volume = {10},\n websites = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=10813},\n month = {6},\n day = {13},\n id = {c415b9ea-37bd-3444-a88d-9e6ba43f5dbb},\n created = {2021-02-06T20:42:43.272Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:52.558Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {The Consumer Price Index (CPI) is one of the most important economic indicators for countries' characterization and is typically considered an official measure of inflation. The CPI considers the monthly price variation of a determined set of goods and services in a specific region, and it is key in the economic and social planning of a given country, hence the great importance of CPI forecasting. In this paper, we outline a comparative study of state-of-the-art predictive models over an Ecuadorian CPI dataset with 174 monthly registers, from 2005 to 2019. This small available dataset makes forecasting a challenging time-series-prediction task. Another difficulty is last years trend variation, which since mid-2016, has changed from an upward average of 3.5 points to a stable trend of ±0.8 points. This paper explores the performance of relevant predictive models when tackling the Ecuadorian CPI forecasting problem accurately for the next 12 months. For this, a comparative study considering a variety of predictive models is carried out, including the Neural networks approach using a Sequential Model with Long Short-Term Memory layers machine learning using Support Vector Regression, as well as classical approaches like SARIMA and Exponential Smoothing. We also consider big corporations tools like Facebook Prophet. As a result, the paper presents the best predictive models, and parameters found, along with Ecuadors CPI forecasting for the next 12 months (part of 2020). This information could be used for decisionmaking in several important topics related to social and economic activities.},\n bibtype = {article},\n author = {Riofrío, Juan and Chang, Oscar and Revelo-Fuelagán, E. J. and Peluffo-Ordóñez, Diego H.},\n doi = {10.18517/ijaseit.10.3.10813},\n journal = {International Journal on Advanced Science, Engineering and Information Technology},\n number = {3}\n}\n\n The Consumer Price Index (CPI) is one of the most important economic indicators for countries' characterization and is typically considered an official measure of inflation. The CPI considers the monthly price variation of a determined set of goods and services in a specific region, and it is key in the economic and social planning of a given country, hence the great importance of CPI forecasting. In this paper, we outline a comparative study of state-of-the-art predictive models over an Ecuadorian CPI dataset with 174 monthly registers, from 2005 to 2019. This small available dataset makes forecasting a challenging time-series-prediction task. Another difficulty is last years trend variation, which since mid-2016, has changed from an upward average of 3.5 points to a stable trend of ±0.8 points. This paper explores the performance of relevant predictive models when tackling the Ecuadorian CPI forecasting problem accurately for the next 12 months. For this, a comparative study considering a variety of predictive models is carried out, including the Neural networks approach using a Sequential Model with Long Short-Term Memory layers machine learning using Support Vector Regression, as well as classical approaches like SARIMA and Exponential Smoothing. We also consider big corporations tools like Facebook Prophet. As a result, the paper presents the best predictive models, and parameters found, along with Ecuadors CPI forecasting for the next 12 months (part of 2020). This information could be used for decisionmaking in several important topics related to social and economic activities.\n
\n\n\n\n \n\n \n \n \n \n \n \n A New Approach to Supervised Data Analysis in Embedded Systems Environments: A Case Study.\n \n \n \n \n\n\n \n Godoy-Trujillo, P., E.; Rosero-Montalvo, P., D.; Suárez-Zambrano, L., E.; Peluffo-Ordoñez, D., H.; and Revelo-Fuelagán, E., J.\n\n\n \n\n\n\n Advances in Intelligent Systems and Computing, pages 416-425. 2020.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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
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\n\n\n@inbook{\n type = {inbook},\n year = {2020},\n keywords = {Data analysis,Embedded systems,Sensor data},\n pages = {416-425},\n websites = {http://link.springer.com/10.1007/978-3-030-52249-0_29},\n id = {37beffa7-f40a-37ec-a7c9-aaae1f535a17},\n created = {2021-02-06T20:47:11.215Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:47.528Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Nowadays, the implementation of embedded systems with sensors for massive data collection has become widely used for their flexibility and improvement in decision making. However, this process can be affected by errors in reading, attrition of systems, among others. For this, a selection approach of supervised algorithms with a prototypes selection criterion is presented, which allows an adequate embedded system performance. To do that a quality measure was established which compromises between the data reduction of the training set, algorithm processing time and the classification performance. As a result, it was determined that the algorithm for the data selection is Condensed Nearest Neighbors (CNN) and the classification algorithm is k-Nearest Neighbour (k-NN).},\n bibtype = {inbook},\n author = {Godoy-Trujillo, Pamela E. and Rosero-Montalvo, Paul D. and Suárez-Zambrano, Luis E. and Peluffo-Ordoñez, Diego H. and Revelo-Fuelagán, E. J.},\n doi = {10.1007/978-3-030-52249-0_29},\n chapter = {A New Approach to Supervised Data Analysis in Embedded Systems Environments: A Case Study},\n title = {Advances in Intelligent Systems and Computing}\n}\n\n Nowadays, the implementation of embedded systems with sensors for massive data collection has become widely used for their flexibility and improvement in decision making. However, this process can be affected by errors in reading, attrition of systems, among others. For this, a selection approach of supervised algorithms with a prototypes selection criterion is presented, which allows an adequate embedded system performance. To do that a quality measure was established which compromises between the data reduction of the training set, algorithm processing time and the classification performance. As a result, it was determined that the algorithm for the data selection is Condensed Nearest Neighbors (CNN) and the classification algorithm is k-Nearest Neighbour (k-NN).\n
\n\n\n\n \n\n \n \n \n \n \n Comparison of kernel functions for the prediction of the photovoltaic energy supply.\n \n \n \n\n\n \n Mora-Paz, H.; Riascos, J., A.; Salazar-Castro, J., A.; Mora, G.; Pantoja, A.; Revelo-Fuelagán, J.; Mancera-Valetts, L.; and Peluffo-Ordoñez, D.\n\n\n \n\n\n\n RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao. 2020.\n \n\n\n\n
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\n\n\n@article{\n title = {Comparison of kernel functions for the prediction of the photovoltaic energy supply},\n type = {article},\n year = {2020},\n keywords = {Artificial Neural Networks,Kernel function,Photovoltaic energySatellite images,Support Vector Machines},\n id = {f77411b7-4325-309a-b5ef-3a727ef192ff},\n created = {2022-04-11T02:48:25.234Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2022-04-11T02:48:25.234Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Recently, at the fields of climate change and energy demand have turned their attention to the study and discovery of patterns in renewable energies, such as the photovoltaic-type. Such patterns can be obtained by extrapolating radiation based on the electromagnetic spectrum bands captured by NASA’s Landsat and MODIS satellites, where artificial neural network (ANN) and support vector machine (SVM) algorithms have produced the best models. Nonetheless, the acquisition of training data from those sources is expensive, as well as it lacks the exploration of kernel functions for this application. Therefore, in this study, adjustments were made in the above aspects, mainly through: coupling of new kernels to ANN and SVM in the scikit-learn library, contributing to the reuse and robustness of these algorithms; and implementing an experimental framework to tune hyper-parameters, thus generating results comparable to those reported in the state of the art.},\n bibtype = {article},\n author = {Mora-Paz, Héctor and Riascos, Jaime A. and Salazar-Castro, J. A. and Mora, Germán and Pantoja, Andrés and Revelo-Fuelagán, Javier and Mancera-Valetts, Laura and Peluffo-Ordoñez, Diego},\n journal = {RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao}\n}\n\n Recently, at the fields of climate change and energy demand have turned their attention to the study and discovery of patterns in renewable energies, such as the photovoltaic-type. Such patterns can be obtained by extrapolating radiation based on the electromagnetic spectrum bands captured by NASA’s Landsat and MODIS satellites, where artificial neural network (ANN) and support vector machine (SVM) algorithms have produced the best models. Nonetheless, the acquisition of training data from those sources is expensive, as well as it lacks the exploration of kernel functions for this application. Therefore, in this study, adjustments were made in the above aspects, mainly through: coupling of new kernels to ANN and SVM in the scikit-learn library, contributing to the reuse and robustness of these algorithms; and implementing an experimental framework to tune hyper-parameters, thus generating results comparable to those reported in the state of the art.\n
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\n\n \n \n 2019\n \n \n (5)\n \n \n
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\n \n \n\n \n \n \n \n \n \n Drowsiness Detection in Drivers Through Real-Time Image Processing of the Human Eye.\n \n \n \n \n\n\n \n Herrera-Granda, E., P.; Caraguay-Procel, J., A.; Granda-Gudiño, P., D.; Herrera-Granda, I., D.; Lorente-Leyva, L., L.; Peluffo-Ordóñez, D., H.; and Revelo-Fuelagán, J.\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 626-637. 2019.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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
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\n\n\n@inbook{\n type = {inbook},\n year = {2019},\n keywords = {Alarm,Artificial intelligence,Drowsiness detection,Human eye,Image processing},\n pages = {626-637},\n websites = {http://link.springer.com/10.1007/978-3-030-14799-0_54},\n id = {00935d93-cfa7-39a6-aa02-5e3663a3642f},\n created = {2021-02-06T19:48:17.586Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:51.187Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {At a global level, drowsiness is one of the main causes of road accidents causing frequent deaths and economic losses. To solve this problem an application developed in Matlab environment was made, which processes real time acquired images in order to determine if the driver is awake or drowsy. Using AdaBoost training Algorithm for Viola-Jones eyes detection, a cascade classifier finds the location and the area of the driver eyes in each frame of the video. Once the driver eyes are detected, they are analyzed whether are open or closed by color segmentation and thresholding based on the sclera binarized area. Finally, it was implemented as a drowsiness detection system which aims to prevent driver fall asleep while driving a vehicle by activating an audible alert, reaching speeds up to 14.5 fps.},\n bibtype = {inbook},\n author = {Herrera-Granda, Erick P. and Caraguay-Procel, Jorge A. and Granda-Gudiño, Pedro D. and Herrera-Granda, Israel D. and Lorente-Leyva, Leandro L. and Peluffo-Ordóñez, Diego H. and Revelo-Fuelagán, Javier},\n doi = {10.1007/978-3-030-14799-0_54},\n chapter = {Drowsiness Detection in Drivers Through Real-Time Image Processing of the Human Eye},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}\n\n At a global level, drowsiness is one of the main causes of road accidents causing frequent deaths and economic losses. To solve this problem an application developed in Matlab environment was made, which processes real time acquired images in order to determine if the driver is awake or drowsy. Using AdaBoost training Algorithm for Viola-Jones eyes detection, a cascade classifier finds the location and the area of the driver eyes in each frame of the video. Once the driver eyes are detected, they are analyzed whether are open or closed by color segmentation and thresholding based on the sclera binarized area. Finally, it was implemented as a drowsiness detection system which aims to prevent driver fall asleep while driving a vehicle by activating an audible alert, reaching speeds up to 14.5 fps.\n
\n\n\n\n \n\n \n \n \n \n \n \n Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals.\n \n \n \n \n\n\n \n Gómez-Lara, J., F.; Ordóñez-Bolaños, O., A.; Becerra, M., A.; Castro-Ospina, A., E.; Mejía-Arboleda, C.; Duque-Mejía, C.; Rodriguez, J.; Revelo-Fuelagán, J.; 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 351-362. 2019.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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
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\n\n\n@inbook{\n type = {inbook},\n year = {2019},\n keywords = {Emotion recognition,Improved complementary ensemble empirical mode dec,Multimodal,Physiological signals,Signal processing},\n pages = {351-362},\n websites = {http://link.springer.com/10.1007/978-3-030-14799-0_30},\n id = {acd5dc88-1822-3b30-b91a-c976586f5bed},\n created = {2021-02-06T19:48:17.600Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:51.572Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {The emotions identification is a very complex task due to depending on multiple variables individually and as a group. They are evaluated by different criteria such as arousal, valence, and dominance mainly. Several investigations have been focused on building prediction systems. Nevertheless, this is still an open research field. The main objective of this paper is the analysis of the Improved Complementary Ensemble Empirical Mode Decomposition (ICEEMD) for feature extraction from physiological signals for emotions prediction. Physiological signals and metadata of the DEAP database were used. First, the signals were preprocessed, then three decompositions were carried out using ICEEMD, Discrete Wavelet Transform (DWT), and Maximal overlap DWT. Feature extraction was carried out using Hermite coefficients, and multiple statistic measures from IMFs, coefficients DWT, and MODWT, and signals. Then, Relief F selection algorithms were applied to reducing the dimensionality of the feature space. Finally, Linear Discriminant Classifier (LDC) and K-NN cascade, and Random Forest classifiers were tested. The different decomposition techniques were compared, and the relevant signals and measures were established. The results demonstrated the capability of ICEEMD decomposition for emotions analysis from physiological signals.},\n bibtype = {inbook},\n author = {Gómez-Lara, J. F. and Ordóñez-Bolaños, O. A. and Becerra, M. A. and Castro-Ospina, A. E. and Mejía-Arboleda, C. and Duque-Mejía, C. and Rodriguez, J. and Revelo-Fuelagán, Javier and Peluffo-Ordóñez, Diego H.},\n doi = {10.1007/978-3-030-14799-0_30},\n chapter = {Feature Extraction Analysis for Emotion Recognition from ICEEMD of Multimodal Physiological Signals},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}\n\n The emotions identification is a very complex task due to depending on multiple variables individually and as a group. They are evaluated by different criteria such as arousal, valence, and dominance mainly. Several investigations have been focused on building prediction systems. Nevertheless, this is still an open research field. The main objective of this paper is the analysis of the Improved Complementary Ensemble Empirical Mode Decomposition (ICEEMD) for feature extraction from physiological signals for emotions prediction. Physiological signals and metadata of the DEAP database were used. First, the signals were preprocessed, then three decompositions were carried out using ICEEMD, Discrete Wavelet Transform (DWT), and Maximal overlap DWT. Feature extraction was carried out using Hermite coefficients, and multiple statistic measures from IMFs, coefficients DWT, and MODWT, and signals. Then, Relief F selection algorithms were applied to reducing the dimensionality of the feature space. Finally, Linear Discriminant Classifier (LDC) and K-NN cascade, and Random Forest classifiers were tested. The different decomposition techniques were compared, and the relevant signals and measures were established. The results demonstrated the capability of ICEEMD decomposition for emotions analysis from physiological signals.\n
\n\n\n\n \n\n \n \n \n \n \n Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study BT - Intelligent Information and Database Systems.\n \n \n \n\n\n \n Duque-Mejía, C.; Becerra, M., A.; Zapata-Hernández, C.; Mejia-Arboleda, C.; Castro-Ospina, A., E.; Delgado-Trejos, E.; Peluffo-Ordóñez, D., H.; Rosero-Montalvo, P.; and Revelo-Fuelagán, J.\n\n\n \n\n\n\n In Intelligent Information and Database Systems, 2019. \n \n\n\n\n
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\n\n\n@inproceedings{\n title = {Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study BT - Intelligent Information and Database Systems},\n type = {inproceedings},\n year = {2019},\n id = {f85be4c0-ad02-39d9-a1a1-3f5a8dbf9416},\n created = {2021-02-06T20:38:32.345Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:38:32.345Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Biometric identification or authentication is a pattern recognition process, which is carried out acquiring different measures of human beings to distinguish them. Fingerprint and eye iris are the most known and used biometric techniques; nevertheless, also they are the most vulnerable to counterfeiting. Consequently, nowadays research has been focused on physiological signals and behavioral traits for biometric identification because these allow not only the authentication but also determine that the subject is alive. Electrocardiographic signals (ECG-S) have been studied for biometric identification demonstrating their capability. Taking into account that some pathologies are detected using ECG-S, these can affect the results of biometric identification; nonetheless, some diseases such as cardiac murmurs are not detected by ECG-S, but they can distort their morphology. Therefore, these signals must be analyzed considering different pathologies. In this paper, a biometric study was carried out from 40 subjects (20 with cardiac murmurs and 20 without cardiac affections). First, the ECG-S were preprocessed and segmented using the fast method for detecting T waves with annotation of P and T waves, then feature extraction was carried out using discrete wavelet transform (DWT), maximal overlap DWT, cepstral coefficients, and statistical measures. Then, rough set and relief F algorithms were applied to datasets (pathological and normal signals) for attribute reduction. Finally, multiple classifiers and combinations of them were tested. The results of the segmentation were analyzed achieving low results for signals affected by cardiac murmurs. On the other hand, according to the cardiac murmur effects analyzed, the performance of the classifiers in cascade shown the best accuracy for human identification from ECG-S, minimizing the impact of variability generated on ECG-S by cardiac murmurs diseases.},\n bibtype = {inproceedings},\n author = {Duque-Mejía, C and Becerra, M A and Zapata-Hernández, C and Mejia-Arboleda, C and Castro-Ospina, A E and Delgado-Trejos, E and Peluffo-Ordóñez, Diego H and Rosero-Montalvo, P and Revelo-Fuelagán, Javier},\n booktitle = {Intelligent Information and Database Systems}\n}\n\n Biometric identification or authentication is a pattern recognition process, which is carried out acquiring different measures of human beings to distinguish them. Fingerprint and eye iris are the most known and used biometric techniques; nevertheless, also they are the most vulnerable to counterfeiting. Consequently, nowadays research has been focused on physiological signals and behavioral traits for biometric identification because these allow not only the authentication but also determine that the subject is alive. Electrocardiographic signals (ECG-S) have been studied for biometric identification demonstrating their capability. Taking into account that some pathologies are detected using ECG-S, these can affect the results of biometric identification; nonetheless, some diseases such as cardiac murmurs are not detected by ECG-S, but they can distort their morphology. Therefore, these signals must be analyzed considering different pathologies. In this paper, a biometric study was carried out from 40 subjects (20 with cardiac murmurs and 20 without cardiac affections). First, the ECG-S were preprocessed and segmented using the fast method for detecting T waves with annotation of P and T waves, then feature extraction was carried out using discrete wavelet transform (DWT), maximal overlap DWT, cepstral coefficients, and statistical measures. Then, rough set and relief F algorithms were applied to datasets (pathological and normal signals) for attribute reduction. Finally, multiple classifiers and combinations of them were tested. The results of the segmentation were analyzed achieving low results for signals affected by cardiac murmurs. On the other hand, according to the cardiac murmur effects analyzed, the performance of the classifiers in cascade shown the best accuracy for human identification from ECG-S, minimizing the impact of variability generated on ECG-S by cardiac murmurs diseases.\n
\n\n\n\n \n\n \n \n \n \n \n \n Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study.\n \n \n \n \n\n\n \n Duque-Mejía, C.; Becerra, M., A.; Zapata-Hernández, C.; Mejia-Arboleda, C.; Castro-Ospina, A., E.; Delgado-Trejos, E.; Peluffo-Ordóñez, D., H.; Rosero-Montalvo, P.; and Revelo-Fuelagán, J.\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 269-279. 2019.\n \n\n\n\n
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\n\n\n@inbook{\n type = {inbook},\n year = {2019},\n keywords = {Automatic segmentation,Biometric,Electrocardiographic signal,Heart murmur,Pattern recognition},\n pages = {269-279},\n websites = {http://link.springer.com/10.1007/978-3-030-14799-0_23},\n id = {80d06078-4b1a-37c7-b4bd-8876deb00618},\n created = {2021-02-06T20:38:32.656Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:49.600Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Biometric identification or authentication is a pattern recognition process, which is carried out acquiring different measures of human beings to distinguish them. Fingerprint and eye iris are the most known and used biometric techniques; nevertheless, also they are the most vulnerable to counterfeiting. Consequently, nowadays research has been focused on physiological signals and behavioral traits for biometric identification because these allow not only the authentication but also determine that the subject is alive. Electrocardiographic signals (ECG-S) have been studied for biometric identification demonstrating their capability. Taking into account that some pathologies are detected using ECG-S, these can affect the results of biometric identification; nonetheless, some diseases such as cardiac murmurs are not detected by ECG-S, but they can distort their morphology. Therefore, these signals must be analyzed considering different pathologies. In this paper, a biometric study was carried out from 40 subjects (20 with cardiac murmurs and 20 without cardiac affections). First, the ECG-S were preprocessed and segmented using the fast method for detecting T waves with annotation of P and T waves, then feature extraction was carried out using discrete wavelet transform (DWT), maximal overlap DWT, cepstral coefficients, and statistical measures. Then, rough set and relief F algorithms were applied to datasets (pathological and normal signals) for attribute reduction. Finally, multiple classifiers and combinations of them were tested. The results of the segmentation were analyzed achieving low results for signals affected by cardiac murmurs. On the other hand, according to the cardiac murmur effects analyzed, the performance of the classifiers in cascade shown the best accuracy for human identification from ECG-S, minimizing the impact of variability generated on ECG-S by cardiac murmurs diseases.},\n bibtype = {inbook},\n author = {Duque-Mejía, C. and Becerra, M. A. and Zapata-Hernández, C. and Mejia-Arboleda, C. and Castro-Ospina, A. E. and Delgado-Trejos, E. and Peluffo-Ordóñez, Diego H. and Rosero-Montalvo, P. and Revelo-Fuelagán, Javier},\n doi = {10.1007/978-3-030-14799-0_23},\n chapter = {Cardiac Murmur Effects on Automatic Segmentation of ECG Signals for Biometric Identification: Preliminary Study},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}\n\n Biometric identification or authentication is a pattern recognition process, which is carried out acquiring different measures of human beings to distinguish them. Fingerprint and eye iris are the most known and used biometric techniques; nevertheless, also they are the most vulnerable to counterfeiting. Consequently, nowadays research has been focused on physiological signals and behavioral traits for biometric identification because these allow not only the authentication but also determine that the subject is alive. Electrocardiographic signals (ECG-S) have been studied for biometric identification demonstrating their capability. Taking into account that some pathologies are detected using ECG-S, these can affect the results of biometric identification; nonetheless, some diseases such as cardiac murmurs are not detected by ECG-S, but they can distort their morphology. Therefore, these signals must be analyzed considering different pathologies. In this paper, a biometric study was carried out from 40 subjects (20 with cardiac murmurs and 20 without cardiac affections). First, the ECG-S were preprocessed and segmented using the fast method for detecting T waves with annotation of P and T waves, then feature extraction was carried out using discrete wavelet transform (DWT), maximal overlap DWT, cepstral coefficients, and statistical measures. Then, rough set and relief F algorithms were applied to datasets (pathological and normal signals) for attribute reduction. Finally, multiple classifiers and combinations of them were tested. The results of the segmentation were analyzed achieving low results for signals affected by cardiac murmurs. On the other hand, according to the cardiac murmur effects analyzed, the performance of the classifiers in cascade shown the best accuracy for human identification from ECG-S, minimizing the impact of variability generated on ECG-S by cardiac murmurs diseases.\n
\n\n\n\n \n\n \n \n \n \n \n \n Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors.\n \n \n \n \n\n\n \n Bastidas Torres, D.; Piñeros Rodriguez, C.; Peluffo-Ordóñez, D., H.; Blanco Valencia, X.; Revelo-Fuelagán, J.; Becerra, M., A.; Castro-Ospina, A., E.; and Lorente-Leyva, L., L.\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 339-350. 2019.\n \n\n\n\n
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\n\n\n@inbook{\n type = {inbook},\n year = {2019},\n keywords = {Bayes,Case-based reasoning,Classification,Parametric,Probability},\n pages = {339-350},\n websites = {http://link.springer.com/10.1007/978-3-030-14799-0_29},\n id = {166a209d-faf4-3de9-bc81-c3167f8238b4},\n created = {2021-02-06T20:38:32.659Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:48.771Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {When searching for better solutions that improve the medical diagnosis accuracy, Case-Based reasoning systems (CBR) arise as a good option. This article seeks to improve these systems through the use of parametric and non-parametric probability estimation methods, particularly, at their recovery and adaptation stages. To this end, a set of experiments are conducted with two essentially different, medical databases (Cardiotocography and Cleveland databases), in order to find good parametric and non-parametric estimators. The results are remarkable as a high accuracy rate is achieved when using explored approaches: Naive Bayes and Nearest Neighbors (K-NN) estimators. In addition, a decrease on the involved processing time is reached, which suggests that proposed estimators incorporated into the recovery and adaptation stage becomes suitable for CBR systems, especially when dealing with support for medical diagnosis applications.},\n bibtype = {inbook},\n author = {Bastidas Torres, D. and Piñeros Rodriguez, C. and Peluffo-Ordóñez, Diego H. and Blanco Valencia, X. and Revelo-Fuelagán, Javier and Becerra, M. A. and Castro-Ospina, A. E. and Lorente-Leyva, Leandro L.},\n doi = {10.1007/978-3-030-14799-0_29},\n chapter = {Adaptation and Recovery Stages for Case-Based Reasoning Systems Using Bayesian Estimation and Density Estimation with Nearest Neighbors},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}\n\n When searching for better solutions that improve the medical diagnosis accuracy, Case-Based reasoning systems (CBR) arise as a good option. This article seeks to improve these systems through the use of parametric and non-parametric probability estimation methods, particularly, at their recovery and adaptation stages. To this end, a set of experiments are conducted with two essentially different, medical databases (Cardiotocography and Cleveland databases), in order to find good parametric and non-parametric estimators. The results are remarkable as a high accuracy rate is achieved when using explored approaches: Naive Bayes and Nearest Neighbors (K-NN) estimators. In addition, a decrease on the involved processing time is reached, which suggests that proposed estimators incorporated into the recovery and adaptation stage becomes suitable for CBR systems, especially when dealing with support for medical diagnosis applications.\n
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\n \n \n\n \n \n \n \n \n \n Diseño y evaluación de desempeño de la infraestructura AMI para la microrred de la Universidad de Nariño.\n \n \n \n \n\n\n \n Cervelión Bastidas, Á., J.; Agredo Méndez, G., L.; and Revelo Fuelagán, J.\n\n\n \n\n\n\n Ingeniería Solidaria, 14(26). 9 2018.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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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\n\n\n@article{\n title = {Diseño y evaluación de desempeño de la infraestructura AMI para la microrred de la Universidad de Nariño},\n type = {article},\n year = {2018},\n volume = {14},\n websites = {https://revistas.ucc.edu.co/index.php/in/article/view/2418},\n month = {9},\n day = {1},\n id = {400f1d12-f8da-3db7-b627-98bbd35c9a68},\n created = {2021-02-06T19:05:38.025Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:51.306Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Introducción: en este artículo, se presenta el diseño y la evaluación de desempeño de la Infraestructura de Medición Avanzada (ami, por sus siglas en inglés) para una microrred. Esta infraestructura permite la recopilación de datos de medición de los consumidores en un centro de gestión, fundamental en la construcción de una microrred. Objetivo: diseñar la red de comunicaciones, y seleccionar los equipos y el sistema de gestión para la ami en la microrred de la Universidad de Nariño. Metodología: revisión bibliográfica de los aspectos a considerar en el diseño de la ami como topologías, tecnologías y protocolos de comunicación, además de las métricas para evaluar el desempeño de la ami. Resultados: se presenta el diseño de la ami contemplando equipos de medición, red de comunicaciones y centro de gestión. Una vez la ami fue implementada, se realizó la evaluación de desempeño según los parámetros de latencia, ancho de banda, rendimiento (throughput) y pérdida de paquetes. Conclusión: los resultados indican que la ami cumple con los parámetros de calidad de servicio, garantizando un óptimo flujo de información en la microrred. Originalidad: si bien varias iniciativas han sido enfocadas al diseño de soluciones basadas en microrredes y de infraestructuras ami, y al estudio de sus impactos, la implementación de estas redes es aun escasa en Colombia. Limitaciones: en este estudio, para la evaluación de desempeño de la red de comunicaciones, se ha contemplado el rendimiento de los canales de comunicación, sin tener en cuenta el rendimiento de los diferentes protocolos utilizados como Modbus/tcp y dnp3/tcp.},\n bibtype = {article},\n author = {Cervelión Bastidas, Álvaro José and Agredo Méndez, Guefry L. and Revelo Fuelagán, Javier},\n doi = {10.16925/in.v14i26.2418},\n journal = {Ingeniería Solidaria},\n number = {26}\n}\n\n Introducción: en este artículo, se presenta el diseño y la evaluación de desempeño de la Infraestructura de Medición Avanzada (ami, por sus siglas en inglés) para una microrred. Esta infraestructura permite la recopilación de datos de medición de los consumidores en un centro de gestión, fundamental en la construcción de una microrred. Objetivo: diseñar la red de comunicaciones, y seleccionar los equipos y el sistema de gestión para la ami en la microrred de la Universidad de Nariño. Metodología: revisión bibliográfica de los aspectos a considerar en el diseño de la ami como topologías, tecnologías y protocolos de comunicación, además de las métricas para evaluar el desempeño de la ami. Resultados: se presenta el diseño de la ami contemplando equipos de medición, red de comunicaciones y centro de gestión. Una vez la ami fue implementada, se realizó la evaluación de desempeño según los parámetros de latencia, ancho de banda, rendimiento (throughput) y pérdida de paquetes. Conclusión: los resultados indican que la ami cumple con los parámetros de calidad de servicio, garantizando un óptimo flujo de información en la microrred. Originalidad: si bien varias iniciativas han sido enfocadas al diseño de soluciones basadas en microrredes y de infraestructuras ami, y al estudio de sus impactos, la implementación de estas redes es aun escasa en Colombia. Limitaciones: en este estudio, para la evaluación de desempeño de la red de comunicaciones, se ha contemplado el rendimiento de los canales de comunicación, sin tener en cuenta el rendimiento de los diferentes protocolos utilizados como Modbus/tcp y dnp3/tcp.\n
\n\n\n\n \n\n \n \n \n \n \n \n Movement Identification in EMG Signals Using Machine Learning: A Comparative Study.\n \n \n \n \n\n\n \n Lasso-Arciniegas, L.; Viveros-Melo, A.; Salazar-Castro, J., A.; Becerra, M., A.; Castro-Ospina, A., E.; Revelo-Fuelagán, E., J.; 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 368-375. 2018.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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 \n \n \n \n \n \n\n\n\n
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\n\n\n@inbook{\n type = {inbook},\n year = {2018},\n keywords = {ANN,EMG signals,Feature extraction,KNN,Parzen},\n pages = {368-375},\n websites = {http://link.springer.com/10.1007/978-3-030-01132-1_42},\n id = {d4ba637c-8e10-3a69-b926-d371c92b91aa},\n created = {2021-02-06T20:38:31.353Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:49.954Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {The analysis of electromyographic (EMG) signals enables the development of important technologies for industry and medical environments, due mainly to the design of EMG-based human-computer interfaces. There exists a wide range of applications encompassing: Wireless-computer controlling, rehabilitation, wheelchair guiding, and among others. The semantic interpretation of EMG analysis is typically conducted by machine learning algorithms, and mainly involves stages for signal characterization and classification. This work presents a methodology for comparing a set of state-of-the-art approaches of EMG signal characterization and classification within a movement identification framework. We compare the performance of three classifiers (KNN, Parzen-density-based classifier and ANN) using spectral (Wavelets) and time-domain-based (statistical and morphological descriptors) features. Also, a methodology for movement selection is proposed. Results are comparable with those reported in literature, reaching classification performance of (90.89 ± 1.12)% (KNN), (93.92 ± 0.34)% (ANN) and 91.09 ± 0.93 (Parzen-density-based classifier) with 12 movements.},\n bibtype = {inbook},\n author = {Lasso-Arciniegas, Laura and Viveros-Melo, Andres and Salazar-Castro, José A. and Becerra, Miguel A. and Castro-Ospina, Andrés Eduardo and Revelo-Fuelagán, E. Javier and Peluffo-Ordóñez, Diego H.},\n doi = {10.1007/978-3-030-01132-1_42},\n chapter = {Movement Identification in EMG Signals Using Machine Learning: A Comparative Study},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}\n\n The analysis of electromyographic (EMG) signals enables the development of important technologies for industry and medical environments, due mainly to the design of EMG-based human-computer interfaces. There exists a wide range of applications encompassing: Wireless-computer controlling, rehabilitation, wheelchair guiding, and among others. The semantic interpretation of EMG analysis is typically conducted by machine learning algorithms, and mainly involves stages for signal characterization and classification. This work presents a methodology for comparing a set of state-of-the-art approaches of EMG signal characterization and classification within a movement identification framework. We compare the performance of three classifiers (KNN, Parzen-density-based classifier and ANN) using spectral (Wavelets) and time-domain-based (statistical and morphological descriptors) features. Also, a methodology for movement selection is proposed. Results are comparable with those reported in literature, reaching classification performance of (90.89 ± 1.12)% (KNN), (93.92 ± 0.34)% (ANN) and 91.09 ± 0.93 (Parzen-density-based classifier) with 12 movements.\n
\n\n\n\n \n\n \n \n \n \n \n \n Angle-Based Model for Interactive Dimensionality Reduction and Data Visualization.\n \n \n \n \n\n\n \n Basante-Villota, C., K.; Ortega-Castillo, C., M.; Peña-Unigarro, D., F.; Revelo-Fuelagán, E., J.; Salazar-Castro, J., A.; Ortega-Bustamante, M.; Rosero-Montalvo, P.; Vega-Escobar, L., S.; 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 149-157. 2018.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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
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\n\n\n@inbook{\n type = {inbook},\n year = {2018},\n keywords = {Data visualization,Dimensionality reduction,Kernel PCA,Pairwise similarity},\n pages = {149-157},\n websites = {http://link.springer.com/10.1007/978-3-030-01132-1_17},\n id = {b37c6159-3b3b-3ab1-9ba3-d441d46765ff},\n created = {2021-02-06T20:38:31.832Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:50.731Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {In recent times, an undeniable fact is that the amount of data available has increased dramatically due mainly to the advance of new technologies allowing for storage and communication of enormous volumes of information. In consequence, there is an important need for finding the relevant information within the raw data through the application of novel data visualization techniques that permit the correct manipulation of data. This issue has motivated the development of graphic forms for visually representing and analyzing high-dimensional data. Particularly, in this work, we propose a graphical approach, which, allows the combination of dimensionality reduction (DR) methods using an angle-based model, making the data visualization more intelligible. Such approach is designed for a readily use, so that the input parameters are interactively given by the user within a user-friendly environment. The proposed approach enables users (even those being non-experts) to intuitively select a particular DR method or perform a mixture of methods. The experimental results prove that the interactive manipulation enabled by the here-proposed model-due to its ability of displaying a variety of embedded spaces-makes the task of selecting a embedded space simpler and more adequately fitted for a specific need.},\n bibtype = {inbook},\n author = {Basante-Villota, Cielo K. and Ortega-Castillo, Carlos M. and Peña-Unigarro, Diego F. and Revelo-Fuelagán, E. Javier and Salazar-Castro, Jose A. and Ortega-Bustamante, MacArthur and Rosero-Montalvo, Paul and Vega-Escobar, Laura Stella and Peluffo-Ordóñez, Diego H.},\n doi = {10.1007/978-3-030-01132-1_17},\n chapter = {Angle-Based Model for Interactive Dimensionality Reduction and Data Visualization},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}\n\n In recent times, an undeniable fact is that the amount of data available has increased dramatically due mainly to the advance of new technologies allowing for storage and communication of enormous volumes of information. In consequence, there is an important need for finding the relevant information within the raw data through the application of novel data visualization techniques that permit the correct manipulation of data. This issue has motivated the development of graphic forms for visually representing and analyzing high-dimensional data. Particularly, in this work, we propose a graphical approach, which, allows the combination of dimensionality reduction (DR) methods using an angle-based model, making the data visualization more intelligible. Such approach is designed for a readily use, so that the input parameters are interactively given by the user within a user-friendly environment. The proposed approach enables users (even those being non-experts) to intuitively select a particular DR method or perform a mixture of methods. The experimental results prove that the interactive manipulation enabled by the here-proposed model-due to its ability of displaying a variety of embedded spaces-makes the task of selecting a embedded space simpler and more adequately fitted for a specific need.\n
\n\n\n\n \n\n \n \n \n \n \n \n A Novel Color-Based Data Visualization Approach Using a Circular Interaction Model and Dimensionality Reduction.\n \n \n \n \n\n\n \n Salazar-Castro, J., A.; Rosero-Montalvo, P., D.; Peña-Unigarro, D., F.; Umaquinga-Criollo, A., C.; Castillo-Marrero, Z.; Revelo-Fuelagán, E., J.; 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 557-567. 2018.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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
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\n\n\n@inbook{\n type = {inbook},\n year = {2018},\n keywords = {Data visualization,Dimensionality reduction,Interactive interface,Pairwise similarity},\n pages = {557-567},\n websites = {http://link.springer.com/10.1007/978-3-319-92537-0_64},\n id = {2c5bf934-be66-312d-908a-8bc47e1204e4},\n created = {2021-02-06T20:38:32.957Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:49.427Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Dimensionality reduction (DR) methods are able to produce low-dimensional representations of an input data sets which may become intelligible for human perception. Nonetheless, most existing DR approaches lack the ability to naturally provide the users with the faculty of controlability and interactivity. In this connection, data visualization (DataVis) results in an ideal complement. This work presents an integration of DR and DataVis through a new approach for data visualization based on a mixture of DR resultant representations while using visualization principle. Particularly, the mixture is done through a weighted sum, whose weighting factors are defined by the user through a novel interface. The interface’s concept relies on the combination of the color-based and geometrical perception in a circular framework so that the users may have a at hand several indicators (shape, color, surface size) to make a decision on a specific data representation. Besides, pairwise similarities are plotted as a non-weighted graph to include a graphic notion of the structure of input data. Therefore, the proposed visualization approach enables the user to interactively combine DR methods, while providing information about the structure of original data, making then the selection of a DR scheme more intuitive.},\n bibtype = {inbook},\n author = {Salazar-Castro, Jose Alejandro and Rosero-Montalvo, Paul D. and Peña-Unigarro, Diego Fernando and Umaquinga-Criollo, Ana Cristina and Castillo-Marrero, Zenaida and Revelo-Fuelagán, Edgardo Javier and Peluffo-Ordóñez, Diego Hernán and Castellanos-Domínguez, César Germán},\n doi = {10.1007/978-3-319-92537-0_64},\n chapter = {A Novel Color-Based Data Visualization Approach Using a Circular Interaction Model and Dimensionality Reduction},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}\n\n Dimensionality reduction (DR) methods are able to produce low-dimensional representations of an input data sets which may become intelligible for human perception. Nonetheless, most existing DR approaches lack the ability to naturally provide the users with the faculty of controlability and interactivity. In this connection, data visualization (DataVis) results in an ideal complement. This work presents an integration of DR and DataVis through a new approach for data visualization based on a mixture of DR resultant representations while using visualization principle. Particularly, the mixture is done through a weighted sum, whose weighting factors are defined by the user through a novel interface. The interface’s concept relies on the combination of the color-based and geometrical perception in a circular framework so that the users may have a at hand several indicators (shape, color, surface size) to make a decision on a specific data representation. Besides, pairwise similarities are plotted as a non-weighted graph to include a graphic notion of the structure of input data. Therefore, the proposed visualization approach enables the user to interactively combine DR methods, while providing information about the structure of original data, making then the selection of a DR scheme more intuitive.\n
\n\n\n\n \n\n \n \n \n \n \n \n Exploration of Characterization and Classification Techniques for Movement Identification from EMG Signals: Preliminary Results.\n \n \n \n \n\n\n \n Viveros-Melo, A.; Lasso-Arciniegas, L.; Salazar-Castro, J., A.; Peluffo-Ordóñez, D., H.; Becerra, M., A.; Castro-Ospina, A., E.; and Revelo-Fuelagán, E., J.\n\n\n \n\n\n\n Communications in Computer and Information Science, pages 139-149. 2018.\n \n\n\n\n
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\n\n\n@inbook{\n type = {inbook},\n year = {2018},\n keywords = {Classification,EMG signals,Movements selection,Wavelet},\n pages = {139-149},\n websites = {http://link.springer.com/10.1007/978-3-319-98998-3_11},\n id = {23b789e5-5797-305c-8a69-2abc738aa508},\n created = {2021-02-06T20:47:11.209Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:47.335Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Today, human-computer interfaces are increasingly more often used and become necessary for human daily activities. Among some remarkable applications, we find: Wireless-computer controlling through hand movement, wheelchair directing/guiding with finger motions, and rehabilitation. Such applications are possible from the analysis of electromyographic (EMG) signals. Despite some research works have addressed this issue, the movement classification through EMG signals is still an open challenging issue to the scientific community -especially, because the controller performance depends not only on classifier but other aspects, namely: used features, movements to be classified, the considered feature-selection methods, and collected data. In this work, we propose an exploratory work on the characterization and classification techniques to identifying movements through EMG signals. We compare the performance of three classifiers (KNN, Parzen-density-based classifier and ANN) using spectral (Wavelets) and time-domain-based (statistical and morphological descriptors) features. Also, a methodology for movement selection is proposed. Results are comparable with those reported in literature, reaching classification errors of 5.18% (KNN), 14.7407% (ANN) and 5.17% (Parzen-density-based classifier).},\n bibtype = {inbook},\n author = {Viveros-Melo, A. and Lasso-Arciniegas, L. and Salazar-Castro, J. A. and Peluffo-Ordóñez, D. H. and Becerra, M. A. and Castro-Ospina, A. E. and Revelo-Fuelagán, E. J.},\n doi = {10.1007/978-3-319-98998-3_11},\n chapter = {Exploration of Characterization and Classification Techniques for Movement Identification from EMG Signals: Preliminary Results},\n title = {Communications in Computer and Information Science}\n}\n\n Today, human-computer interfaces are increasingly more often used and become necessary for human daily activities. Among some remarkable applications, we find: Wireless-computer controlling through hand movement, wheelchair directing/guiding with finger motions, and rehabilitation. Such applications are possible from the analysis of electromyographic (EMG) signals. Despite some research works have addressed this issue, the movement classification through EMG signals is still an open challenging issue to the scientific community -especially, because the controller performance depends not only on classifier but other aspects, namely: used features, movements to be classified, the considered feature-selection methods, and collected data. In this work, we propose an exploratory work on the characterization and classification techniques to identifying movements through EMG signals. We compare the performance of three classifiers (KNN, Parzen-density-based classifier and ANN) using spectral (Wavelets) and time-domain-based (statistical and morphological descriptors) features. Also, a methodology for movement selection is proposed. Results are comparable with those reported in literature, reaching classification errors of 5.18% (KNN), 14.7407% (ANN) and 5.17% (Parzen-density-based classifier).\n
\n\n\n\n \n\n \n \n \n \n \n \n Comparative Analysis Between Embedded-Spaces-Based and Kernel-Based Approaches for Interactive Data Representation.\n \n \n \n \n\n\n \n Basante-Villota, C., K.; Ortega-Castillo, C., M.; Peña-Unigarro, D., F.; Revelo-Fuelagán, J., E.; Salazar-Castro, J., A.; and Peluffo-Ordóñez, D., H.\n\n\n \n\n\n\n Communications in Computer and Information Science, pages 28-38. 2018.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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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\n\n\n@inbook{\n type = {inbook},\n year = {2018},\n keywords = {Artificial intelligence,CMDS,Dimensionality reduction methods,Kernel,Kernel PCA,LE,LLE},\n pages = {28-38},\n websites = {http://link.springer.com/10.1007/978-3-319-98998-3_3},\n id = {ec739501-7aaa-359d-b1b4-8f218626a158},\n created = {2021-02-06T20:47:11.496Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:47.627Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This work presents a comparative analysis between the linear combination of em-bedded spaces resulting from two approaches: (1) The application of dimensional reduction methods (DR) in their standard implementations, and (2) Their corresponding kernel-based approximations. Namely, considered DR methods are: CMDS (Classical Multi- Dimensional Scaling), LE (Laplacian Eigenmaps) and LLE (Locally Linear Embedding). This study aims at determining -through objective criteria- what approach obtains the best performance of DR task for data visualization. The experimental validation was performed using four databases from the UC Irvine Machine Learning Repository. The quality of the obtained embedded spaces is evaluated regarding the RNX(K) criterion. The RNX(K) allows for evaluating the area under the curve, which indicates the performance of the technique in a global or local topology. Additionally, we measure the computational cost for every comparing experiment. A main contribution of this work is the provided discussion on the selection of an interactivity model when mixturing DR methods, which is a crucial aspect for information visualization purposes.},\n bibtype = {inbook},\n author = {Basante-Villota, C. K. and Ortega-Castillo, C. M. and Peña-Unigarro, D. F. and Revelo-Fuelagán, J. E. and Salazar-Castro, J. A. and Peluffo-Ordóñez, D. H.},\n doi = {10.1007/978-3-319-98998-3_3},\n chapter = {Comparative Analysis Between Embedded-Spaces-Based and Kernel-Based Approaches for Interactive Data Representation},\n title = {Communications in Computer and Information Science}\n}\n\n This work presents a comparative analysis between the linear combination of em-bedded spaces resulting from two approaches: (1) The application of dimensional reduction methods (DR) in their standard implementations, and (2) Their corresponding kernel-based approximations. Namely, considered DR methods are: CMDS (Classical Multi- Dimensional Scaling), LE (Laplacian Eigenmaps) and LLE (Locally Linear Embedding). This study aims at determining -through objective criteria- what approach obtains the best performance of DR task for data visualization. The experimental validation was performed using four databases from the UC Irvine Machine Learning Repository. The quality of the obtained embedded spaces is evaluated regarding the RNX(K) criterion. The RNX(K) allows for evaluating the area under the curve, which indicates the performance of the technique in a global or local topology. Additionally, we measure the computational cost for every comparing experiment. A main contribution of this work is the provided discussion on the selection of an interactivity model when mixturing DR methods, which is a crucial aspect for information visualization purposes.\n
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\n \n \n\n \n \n \n \n \n Unsupervised analysis applied to the detection cardiac arrhythmias TT - Análisis no supervisado aplicado a la detección de arritmias cardiacas.\n \n \n \n\n\n \n Moreno-Revelo, M.; Patascoy-Botina, S.; Pantoja-Buchelli, A.; Revelo-Fuelagán, J.; Rodríguez-Sotelo, J.; Murillo-Rendón, S.; and Peluffo-Ordoñez, D.\n\n\n \n\n\n\n Enfoque UTE. 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 \n \n \n \n \n \n \n \n \n \n\n\n\n
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\n\n\n@article{\n title = {Unsupervised analysis applied to the detection cardiac arrhythmias TT - Análisis no supervisado aplicado a la detección de arritmias cardiacas},\n type = {article},\n year = {2017},\n keywords = {Agrupamiento,Clustering,Initialization,Metodología por Segmentos, Inicialización, Medidas,Quality measures.,Segment-based methodology},\n id = {6e7ff3f6-f89e-38de-a592-2421982ffe8f},\n created = {2021-02-06T20:38:31.353Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:38:31.353Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Abstract: An arrhythmia is a pathology that consists on altering the heartbeat. Although, the 12-lead electrocardiogram allows evaluation of the electrical behavior from heart to determine certain pathologies, there are some arrhythmias that are difficult to detect with this type of electrocardiography. In this sense, it is necessary the use of the Holter monitor because it facilitates the records of the heart electrical activity for long periods of time, it is usually 24 up to 48 hours. Due to the extension of the records provided by the monitor, it is common to use computational systems to evaluate diagnostic and morphological features of the beats in order to determine if there is any type of abnormality. These computational systems can be based on supervised or unsupervised pattern recognition techniques, however considering that the first option requires a visual inspection about the large number of beats present in a Holter record, it is an arduous task, as well as it involves monetary costs. Consequently, throughout this paper we present the design of a complete system for the identification of arrhythmias in Holter records using unsupervised pattern recognition techniques. The proposed system involves stages of pre-processing of the signal, segmentation and characterization of beats, as well as feature selection and clustering. In this case, the technique k-means is used. These steps are applied within the framework of a segment-based methodology that improves the detection of minority classes. Additionally, initialization criteria are considered, which allow to enhance quality measures, especially sensitivity. As a result, it is determined that using k-means with the max-min initialization and a number of groups equal to 12, it is possible to obtain the best results, with values of: 99.36%, 91.31% and 99.16% for accuracy, sensitivity and specificity, respectively.},\n bibtype = {article},\n author = {Moreno-Revelo, Mónica and Patascoy-Botina, Sandra and Pantoja-Buchelli, Andrés and Revelo-Fuelagán, Javier and Rodríguez-Sotelo, José and Murillo-Rendón, Santiago and Peluffo-Ordoñez, Diego},\n journal = {Enfoque UTE}\n}\n\n Abstract: An arrhythmia is a pathology that consists on altering the heartbeat. Although, the 12-lead electrocardiogram allows evaluation of the electrical behavior from heart to determine certain pathologies, there are some arrhythmias that are difficult to detect with this type of electrocardiography. In this sense, it is necessary the use of the Holter monitor because it facilitates the records of the heart electrical activity for long periods of time, it is usually 24 up to 48 hours. Due to the extension of the records provided by the monitor, it is common to use computational systems to evaluate diagnostic and morphological features of the beats in order to determine if there is any type of abnormality. These computational systems can be based on supervised or unsupervised pattern recognition techniques, however considering that the first option requires a visual inspection about the large number of beats present in a Holter record, it is an arduous task, as well as it involves monetary costs. Consequently, throughout this paper we present the design of a complete system for the identification of arrhythmias in Holter records using unsupervised pattern recognition techniques. The proposed system involves stages of pre-processing of the signal, segmentation and characterization of beats, as well as feature selection and clustering. In this case, the technique k-means is used. These steps are applied within the framework of a segment-based methodology that improves the detection of minority classes. Additionally, initialization criteria are considered, which allow to enhance quality measures, especially sensitivity. As a result, it is determined that using k-means with the max-min initialization and a number of groups equal to 12, it is possible to obtain the best results, with values of: 99.36%, 91.31% and 99.16% for accuracy, sensitivity and specificity, respectively.\n
\n\n\n\n \n\n \n \n \n \n \n \n Análisis no supervisado aplicado a la detección de arritmias cardiacas.\n \n \n \n \n\n\n \n Moreno-Revelo, M.; Patascoy-Botina, S.; Pantoja-Buchelli, A.; Revelo Fuelagán, J.; Rodríguez-Sotelo, J.; Murillo-Rendón, S.; and Peluffo-Ordoñez, D.\n\n\n \n\n\n\n Enfoque UTE, 8(1): 257-272. 2 2017.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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
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\n\n\n@article{\n title = {Análisis no supervisado aplicado a la detección de arritmias cardiacas},\n type = {article},\n year = {2017},\n pages = {257-272},\n volume = {8},\n websites = {https://ingenieria.ute.edu.ec/enfoqueute/index.php/revista/article/view/125},\n month = {2},\n day = {24},\n id = {48dfbcc4-5296-3079-b9ae-9082a6c4d472},\n created = {2021-02-06T20:38:31.841Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:50.544Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Una arritmia es una patología que consiste en la alteración de los latidos del corazón. A pesar de que el electrocardiograma de 12 derivaciones permite evaluar el comportamiento eléctrico del corazón para determinar ciertas patologías, existen algunas arritmias que son de difícil detección con este tipo de electrocardiografía. Por tanto, es necesario recurrir al uso del monitor Holter, debido a que facilita el registro de la actividad eléctrica del corazón durante largos periodos de tiempo, por lo general de 24 a 48 horas. Debido a la extensión de los registros proporcionados por el monitor, es común acudir al uso de sistemas computacionales para evaluar características diagnósticas y morfológicas de los latidos con el fin de determinar si existe algún tipo de anormalidad. Estos sistemas computacionales pueden basarse en técnicas supervisadas o no supervisadas de reconocimiento de patrones, pero teniendo en cuenta que en la primera opción el realizar una inspección visual de la gran cantidad de latidos presentes en un registro Holter, resulta ser una ardua tarea, además de implicar costos monetarios, en este trabajo se presenta el diseño de un sistema completo para la identificación de arritmias en registros Holter usando técnicas no supervisadas de reconocimiento de patrones. El sistema propuesto involucra etapas de pre-procesamiento de la señal, segmentación y caracterización de latidos, además de selección de características y agrupamiento. En este caso, la técnica utilizada es k-medias. Dichas etapas se aplican dentro del marco de una metodología basada en segmentos que mejora la detección de clases minoritarias. Asimismo, se considera criterios de inicialización que permiten mejorar las medidas de desempeño, en especial, la sensibilidad. Como resultado, se determina que usar k-medias con el criterio de inicialización máx-mín y un número de grupos igual a 12, permite obtener los mejores resultados, siendo: 99,36 %, 91,31 % y 99,16 % para exactitud, sensibilidad y especificidad, respectivamente.},\n bibtype = {article},\n author = {Moreno-Revelo, Mónica and Patascoy-Botina, Sandra and Pantoja-Buchelli, Andrés and Revelo Fuelagán, Javier and Rodríguez-Sotelo, José and Murillo-Rendón, Santiago and Peluffo-Ordoñez, Diego},\n doi = {10.29019/enfoqueute.v8n1.125},\n journal = {Enfoque UTE},\n number = {1}\n}\n\n Una arritmia es una patología que consiste en la alteración de los latidos del corazón. A pesar de que el electrocardiograma de 12 derivaciones permite evaluar el comportamiento eléctrico del corazón para determinar ciertas patologías, existen algunas arritmias que son de difícil detección con este tipo de electrocardiografía. Por tanto, es necesario recurrir al uso del monitor Holter, debido a que facilita el registro de la actividad eléctrica del corazón durante largos periodos de tiempo, por lo general de 24 a 48 horas. Debido a la extensión de los registros proporcionados por el monitor, es común acudir al uso de sistemas computacionales para evaluar características diagnósticas y morfológicas de los latidos con el fin de determinar si existe algún tipo de anormalidad. Estos sistemas computacionales pueden basarse en técnicas supervisadas o no supervisadas de reconocimiento de patrones, pero teniendo en cuenta que en la primera opción el realizar una inspección visual de la gran cantidad de latidos presentes en un registro Holter, resulta ser una ardua tarea, además de implicar costos monetarios, en este trabajo se presenta el diseño de un sistema completo para la identificación de arritmias en registros Holter usando técnicas no supervisadas de reconocimiento de patrones. El sistema propuesto involucra etapas de pre-procesamiento de la señal, segmentación y caracterización de latidos, además de selección de características y agrupamiento. En este caso, la técnica utilizada es k-medias. Dichas etapas se aplican dentro del marco de una metodología basada en segmentos que mejora la detección de clases minoritarias. Asimismo, se considera criterios de inicialización que permiten mejorar las medidas de desempeño, en especial, la sensibilidad. Como resultado, se determina que usar k-medias con el criterio de inicialización máx-mín y un número de grupos igual a 12, permite obtener los mejores resultados, siendo: 99,36 %, 91,31 % y 99,16 % para exactitud, sensibilidad y especificidad, respectivamente.\n
\n\n\n\n \n\n \n \n \n \n \n \n Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations.\n \n \n \n \n\n\n \n Peña-Unigarro, D., F.; Rosero-Montalvo, P.; Revelo-Fuelagán, E., J.; Castro-Silva, J., A.; Alvarado-Pérez, J., C.; Therón, R.; Ortega-Bustamante, C., M.; 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 461-469. 2017.\n \n\n\n\n
\n\n\n\n \n \nWebsite\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
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\n\n\n@inbook{\n type = {inbook},\n year = {2017},\n keywords = {Data visualization,Dimensionality reduction,Pairwise dissimilarity},\n pages = {461-469},\n websites = {http://link.springer.com/10.1007/978-3-319-68935-7_50},\n id = {2bb634ae-2fc4-3c4d-8cd8-a14ab2d4f513},\n created = {2021-02-06T20:42:44.037Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:52.503Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This work describes a new model for interactive data visualization followed from a dimensionality-reduction (DR)-based approach. Particularly, the mixture of the resulting spaces of DR methods is considered, which is carried out by a weighted sum. For the sake of user interaction, corresponding weighting factors are given via an intuitive color-based interface. Also, to depict the DR outcomes while showing information about the input high-dimensional data space, the low-dimensional representations reached by the mixture is conveyed using scatter plots enhanced with an interactive data-driven visualization. In this connection, a constrained dissimilarity approach define the graph to be drawn on the scatter plot.},\n bibtype = {inbook},\n author = {Peña-Unigarro, D. F. and Rosero-Montalvo, P. and Revelo-Fuelagán, E. J. and Castro-Silva, J. A. and Alvarado-Pérez, J. C. and Therón, R. and Ortega-Bustamante, C. M. and Peluffo-Ordóñez, D. H.},\n doi = {10.1007/978-3-319-68935-7_50},\n chapter = {Interactive Data Visualization Using Dimensionality Reduction and Dissimilarity-Based Representations},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}\n\n This work describes a new model for interactive data visualization followed from a dimensionality-reduction (DR)-based approach. Particularly, the mixture of the resulting spaces of DR methods is considered, which is carried out by a weighted sum. For the sake of user interaction, corresponding weighting factors are given via an intuitive color-based interface. Also, to depict the DR outcomes while showing information about the input high-dimensional data space, the low-dimensional representations reached by the mixture is conveyed using scatter plots enhanced with an interactive data-driven visualization. In this connection, a constrained dissimilarity approach define the graph to be drawn on the scatter plot.\n
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\n \n \n\n \n \n \n \n \n \n SOGI-FLL for synchronization and fault detection in an inverter connected to the grid.\n \n \n \n \n\n\n \n Patino, D., G.; Erira, E., G., G.; Rosero, E., E.; and Fuelagan, J., R.\n\n\n \n\n\n\n In 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM), pages 833-838, 10 2015. IEEE\n \n\n\n\n
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\n\n\n@inproceedings{\n title = {SOGI-FLL for synchronization and fault detection in an inverter connected to the grid},\n type = {inproceedings},\n year = {2015},\n keywords = {Frequency locked loop,HERIC inverter,Power system interconnection,Second order generalized integrator,Smart grid},\n pages = {833-838},\n websites = {http://ieeexplore.ieee.org/document/7381264/},\n month = {10},\n publisher = {IEEE},\n id = {b29aaca2-3ff9-3983-ab06-08a7ca42bc1d},\n created = {2021-02-06T18:53:48.355Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:51.860Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This paper presents a theoretical analysis and simulation for the design and implementation of a Second Order Generalized Integrator - Frequency Locked Loop (SOGI-FLL) aimed at synchronization and fault detection when connecting an inverter to the utility grid. Such an inverter is implemented in a Highly-Efficient-and-Reliable- Inverter-Concept (HERIC) topology. The two main aims of this work are: First, the frequency and phase synchronization of the HERIC power inverter with the grid through the SOGI-FLL. Second, the detection of abnormal conditions that may occur in the coupling point system by analyzing changes in frequency, phase shifts and amplitude variations. This is done by complying with the IEEE 1547 standard for disconnecting generation systems to the grid in case of failure. Finally, from the experimental results, it can be concluded that the SOGI-FLL system is an appropriate alternative for controlling the injection of energy process into the grid, as well as for detecting possible grid faults.},\n bibtype = {inproceedings},\n author = {Patino, David Gamez and Erira, Edison Geovanny Guama and Rosero, Edisson Escobar and Fuelagan, Javier Revelo},\n doi = {10.1109/ISGT-LA.2015.7381264},\n booktitle = {2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)}\n}\n\n This paper presents a theoretical analysis and simulation for the design and implementation of a Second Order Generalized Integrator - Frequency Locked Loop (SOGI-FLL) aimed at synchronization and fault detection when connecting an inverter to the utility grid. Such an inverter is implemented in a Highly-Efficient-and-Reliable- Inverter-Concept (HERIC) topology. The two main aims of this work are: First, the frequency and phase synchronization of the HERIC power inverter with the grid through the SOGI-FLL. Second, the detection of abnormal conditions that may occur in the coupling point system by analyzing changes in frequency, phase shifts and amplitude variations. This is done by complying with the IEEE 1547 standard for disconnecting generation systems to the grid in case of failure. Finally, from the experimental results, it can be concluded that the SOGI-FLL system is an appropriate alternative for controlling the injection of energy process into the grid, as well as for detecting possible grid faults.\n
\n\n\n\n \n\n \n \n \n \n \n \n Implementation a HERIC inverter prototype connected to the grid controlled by SOGI-FLL.\n \n \n \n \n\n\n \n Patino, D., G.; Erira, E., G.; Fuelagan, J., R.; and Rosero, E., E.\n\n\n \n\n\n\n In 2015 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA), pages 1-6, 6 2015. IEEE\n \n\n\n\n
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\n\n\n@inproceedings{\n title = {Implementation a HERIC inverter prototype connected to the grid controlled by SOGI-FLL},\n type = {inproceedings},\n year = {2015},\n keywords = {Frequency locked loop,HERIC inverter,Power system interconnection,Second order generalized integrator},\n pages = {1-6},\n websites = {http://ieeexplore.ieee.org/document/7168209/},\n month = {6},\n publisher = {IEEE},\n id = {ef1c3eed-d9ed-3300-80ae-e9713584ffd6},\n created = {2021-02-06T18:57:17.317Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:52.262Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This paper presents a feasible implementation of a single phase inverter prototype via a Highly Efficient and Reliable Inverter Concept (HERIC) topology, which is connected to the grid through a phase and frequency synchronization system by means of a Second Order Generalized Integrator-Frequency Locked Loop (SOGI-FLL). The chosen topology for the inverter design-unlike a full H-bridge (FB) inverter-incorporates two transistors in the output aimed at preventing reactive power transfer between the output filter and input capacitor when zero-crossing. Furthermore, proposed inverter implementation presents low leakage currents, and increases HERIC system efficiency. Moreover, the SOGI-FLL chosen for connecting the HERIC inverter to the grid provides-even under harmonic distortion-a fast and accurate frequency tracking. The prototype implementation can be divided into two parts: First, the power inverter HERIC is implemented, which holds four transistors MOSFET IRF730 (400V-10A) in a FB topology, as well as two IGBT transistors GP10NC60KD (600V-10A). In addition, in order to protect all the devices and ensure a well transistor conmmuation, four diodes type SF54 (200V-5A) are located between emisor and collector from all transistors. Second, the synchronization system is implemented on an Arduino Due digital platform.},\n bibtype = {inproceedings},\n author = {Patino, David Gamez and Erira, Edison Guaina and Fuelagan, Javier Revelo and Rosero, Edisson Escobar},\n doi = {10.1109/PEPQA.2015.7168209},\n booktitle = {2015 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)}\n}\n\n This paper presents a feasible implementation of a single phase inverter prototype via a Highly Efficient and Reliable Inverter Concept (HERIC) topology, which is connected to the grid through a phase and frequency synchronization system by means of a Second Order Generalized Integrator-Frequency Locked Loop (SOGI-FLL). The chosen topology for the inverter design-unlike a full H-bridge (FB) inverter-incorporates two transistors in the output aimed at preventing reactive power transfer between the output filter and input capacitor when zero-crossing. Furthermore, proposed inverter implementation presents low leakage currents, and increases HERIC system efficiency. Moreover, the SOGI-FLL chosen for connecting the HERIC inverter to the grid provides-even under harmonic distortion-a fast and accurate frequency tracking. The prototype implementation can be divided into two parts: First, the power inverter HERIC is implemented, which holds four transistors MOSFET IRF730 (400V-10A) in a FB topology, as well as two IGBT transistors GP10NC60KD (600V-10A). In addition, in order to protect all the devices and ensure a well transistor conmmuation, four diodes type SF54 (200V-5A) are located between emisor and collector from all transistors. Second, the synchronization system is implemented on an Arduino Due digital platform.\n
\n\n\n\n \n\n \n \n \n \n \n \n An estimation method of state of charge and lifetime for lead-acid batteries in smart grid scenario.\n \n \n \n \n\n\n \n Montenegro, D.; Rodriguez, S.; Fuelagan, J., R.; and Jimenez, J., B.\n\n\n \n\n\n\n In 2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM), pages 564-569, 10 2015. IEEE\n \n\n\n\n
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\n\n\n@inproceedings{\n title = {An estimation method of state of charge and lifetime for lead-acid batteries in smart grid scenario},\n type = {inproceedings},\n year = {2015},\n keywords = {Battery AGM Lead-Acid,Battery Voltage,Degradación,Photovoltaic System,Smart Grid,State of Charge},\n pages = {564-569},\n websites = {http://ieeexplore.ieee.org/document/7381216/},\n month = {10},\n publisher = {IEEE},\n id = {c187413f-d94d-3037-9dc7-7cec76bb0ae4},\n created = {2021-02-06T18:59:14.898Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:52.178Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This work presents mathematical model of batteries AGM lead acid type that form part of a photovoltaic generating system. The proposed model allows estimation of the voltage of the battery and the state of charge with the objective of designing a controller to create greater duration, efficiency and autonomy of the system. Additionally, we present a mathematical model to estimate the useful life of the battery degraded due to corrosion, cycle, and the state of charge that permits evaluation of the loss of storage capacity in a general distribution scenario. Finally, experimental results and simulations obtained from the monitoring of a bank of batteries in a photovoltaic system are analyzed to validate the proposed model of state of charge. Furthermore, we will present the results of the evaluation of the useful life of the battery in two case studies in the framework of smart grid considering the functioning of a photovoltaic generator under different configurations.},\n bibtype = {inproceedings},\n author = {Montenegro, Danny and Rodriguez, Simon and Fuelagan, Javier Revelo and Jimenez, John Barco},\n doi = {10.1109/ISGT-LA.2015.7381216},\n booktitle = {2015 IEEE PES Innovative Smart Grid Technologies Latin America (ISGT LATAM)}\n}\n\n This work presents mathematical model of batteries AGM lead acid type that form part of a photovoltaic generating system. The proposed model allows estimation of the voltage of the battery and the state of charge with the objective of designing a controller to create greater duration, efficiency and autonomy of the system. Additionally, we present a mathematical model to estimate the useful life of the battery degraded due to corrosion, cycle, and the state of charge that permits evaluation of the loss of storage capacity in a general distribution scenario. Finally, experimental results and simulations obtained from the monitoring of a bank of batteries in a photovoltaic system are analyzed to validate the proposed model of state of charge. Furthermore, we will present the results of the evaluation of the useful life of the battery in two case studies in the framework of smart grid considering the functioning of a photovoltaic generator under different configurations.\n
\n\n\n\n \n\n \n \n \n \n \n \n Multiple Kernel Learning for Spectral Dimensionality Reduction.\n \n \n \n \n\n\n \n Peluffo-Ordóñez, D., H.; Castro-Ospina, A., E.; Alvarado-Pérez, J., C.; and Revelo-Fuelagán, E., J.\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 626-634. 2015.\n \n\n\n\n
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\n\n\n@inbook{\n type = {inbook},\n year = {2015},\n keywords = {Dimensionality reduction,Generalized kernel,Kernel PCA,Multiple kernel learning},\n pages = {626-634},\n websites = {http://link.springer.com/10.1007/978-3-319-25751-8_75},\n id = {55693aa6-c69e-3b95-83d4-76d78d882a30},\n created = {2021-02-06T19:05:09.991Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:50.838Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This work introduces a multiple kernel learning (MKL) approach for selecting and combining different spectralmethods of dimensionality reduction (DR).From a predefined set of kernels representing conventional spectralDRmethods, a generalized kernel is calculated by means of a linear combination of kernel matrices. Coefficients are estimated via a variable ranking aimed at quantifying how much each variable contributes to optimize a variance preservation criterion. All considered kernels are testedwithinakernelPCAframework.Theexperiments are carriedoutover well-known real and artificial data sets. The performance of compared DR approaches is quantified by a scaled version of the average agreement rate between K-ary neighborhoods. Proposed MKL approach exploits the representation ability of every single method to reach a better embedded data for both getting more intelligible visualization and preserving the structure of data.},\n bibtype = {inbook},\n author = {Peluffo-Ordóñez, Diego Hernán and Castro-Ospina, Andrés Eduardo and Alvarado-Pérez, Juan Carlos and Revelo-Fuelagán, Edgardo Javier},\n doi = {10.1007/978-3-319-25751-8_75},\n chapter = {Multiple Kernel Learning for Spectral Dimensionality Reduction},\n title = {Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)}\n}\n\n This work introduces a multiple kernel learning (MKL) approach for selecting and combining different spectralmethods of dimensionality reduction (DR).From a predefined set of kernels representing conventional spectralDRmethods, a generalized kernel is calculated by means of a linear combination of kernel matrices. Coefficients are estimated via a variable ranking aimed at quantifying how much each variable contributes to optimize a variance preservation criterion. All considered kernels are testedwithinakernelPCAframework.Theexperiments are carriedoutover well-known real and artificial data sets. The performance of compared DR approaches is quantified by a scaled version of the average agreement rate between K-ary neighborhoods. Proposed MKL approach exploits the representation ability of every single method to reach a better embedded data for both getting more intelligible visualization and preserving the structure of data.\n
\n\n\n\n \n\n \n \n \n \n \n \n Implementation of an HB-LED driver with PFC and output power control.\n \n \n \n \n\n\n \n Martinez, J., A., C.; Mejia, M., H., A.; and Fuelagan, J., R.\n\n\n \n\n\n\n In 2015 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA), pages 1-7, 6 2015. IEEE\n \n\n\n\n
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\n\n\n@inproceedings{\n title = {Implementation of an HB-LED driver with PFC and output power control},\n type = {inproceedings},\n year = {2015},\n keywords = {HB-LEDs,Hysteretic Control,LED Dimming,MIMO Control,PFC,Power Electronic Converters,Power Quality,dsPIC},\n pages = {1-7},\n websites = {http://ieeexplore.ieee.org/document/7168210/},\n month = {6},\n publisher = {IEEE},\n id = {480a3380-cb38-37dc-9199-e2f4a02595ea},\n created = {2021-02-06T20:35:41.740Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:51.469Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This work presents a novel HB-LEDs driver designed to solve some of the problems found in commercial LED lamp drivers. This driver includes dimming capability designed for intelligent lightning applications and incorporates a power factor correction method (PFC) to prevent negative effects of current distortion over the mains circuit. The circuit is composed by two main sections: power section and control section. The power section consists on a multi level electronic power converter where the first stage has a boost topology with a current controller performing the PFC function, based on hysteresis comparison. The second stage has a buck topology and it is designed to regulate the power delivered to the LED strings. Both stages are coupled with a digital controller which additionally serves to establish and track a power reference for the LED strings in order to vary the light intensity. A prototype was built based on the design for evaluation. The design implementation provided data that was analysed in terms of efficiency, harmonic distortion and power factor according to regulatory standards. The results were compared with commercial LED lamp drivers characteristics, obtaining significative improvement in energy quality indicators.},\n bibtype = {inproceedings},\n author = {Martinez, Jorge Andres Chamorro and Mejia, Mario Hernan Arciniegas and Fuelagan, Javier Revelo},\n doi = {10.1109/PEPQA.2015.7168210},\n booktitle = {2015 IEEE Workshop on Power Electronics and Power Quality Applications (PEPQA)}\n}\n\n This work presents a novel HB-LEDs driver designed to solve some of the problems found in commercial LED lamp drivers. This driver includes dimming capability designed for intelligent lightning applications and incorporates a power factor correction method (PFC) to prevent negative effects of current distortion over the mains circuit. The circuit is composed by two main sections: power section and control section. The power section consists on a multi level electronic power converter where the first stage has a boost topology with a current controller performing the PFC function, based on hysteresis comparison. The second stage has a buck topology and it is designed to regulate the power delivered to the LED strings. Both stages are coupled with a digital controller which additionally serves to establish and track a power reference for the LED strings in order to vary the light intensity. A prototype was built based on the design for evaluation. The design implementation provided data that was analysed in terms of efficiency, harmonic distortion and power factor according to regulatory standards. The results were compared with commercial LED lamp drivers characteristics, obtaining significative improvement in energy quality indicators.\n
\n\n\n\n \n\n \n \n \n \n \n \n On the effect of inverse problem weighted solutions for epileptic sources localization.\n \n \n \n \n\n\n \n Acosta-Munoz, M., E.; Paredes-Argoty, H., A.; Revelo-Fuelagan, E., J.; and Peluffo-Ordonez, D., H.\n\n\n \n\n\n\n In 2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA), pages 1-5, 9 2015. IEEE\n \n\n\n\n
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\n\n\n@inproceedings{\n title = {On the effect of inverse problem weighted solutions for epileptic sources localization},\n type = {inproceedings},\n year = {2015},\n pages = {1-5},\n websites = {https://ieeexplore.ieee.org/document/7330448},\n month = {9},\n publisher = {IEEE},\n id = {c6b2ddfa-fdcd-3dd7-ab14-b85046462b58},\n created = {2021-02-06T20:38:32.345Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:51.792Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {Within the context of epileptic sources localization from electroencephalographic signals, this work presents an exploratory study aimed at studying the effect of channel weighting on the estimation of the inverse problem solution. In this study, we consider two weighting approaches followed from a relevance feature analysis based on variance and energy criteria. Such approaches are compared by measuring the difference between the estimated source activity and the true power of the simulated sources in terms of the Earth mover's distance. Experimental results show that the incorporation of proper weighting factors into a LORETA-driven solution, localization may be improved. As well, the physiological phenomenon of the brain activity is more precisely tracked.},\n bibtype = {inproceedings},\n author = {Acosta-Munoz, Melissa E. and Paredes-Argoty, Hugo A. and Revelo-Fuelagan, E. Javier and Peluffo-Ordonez, Diego H.},\n doi = {10.1109/STSIVA.2015.7330448},\n booktitle = {2015 20th Symposium on Signal Processing, Images and Computer Vision (STSIVA)}\n}\n\n Within the context of epileptic sources localization from electroencephalographic signals, this work presents an exploratory study aimed at studying the effect of channel weighting on the estimation of the inverse problem solution. In this study, we consider two weighting approaches followed from a relevance feature analysis based on variance and energy criteria. Such approaches are compared by measuring the difference between the estimated source activity and the true power of the simulated sources in terms of the Earth mover's distance. Experimental results show that the incorporation of proper weighting factors into a LORETA-driven solution, localization may be improved. As well, the physiological phenomenon of the brain activity is more precisely tracked.\n
\n\n\n\n \n\n \n \n \n \n \n \n Generalized Bonhoeffer-van der Pol oscillator for modelling cardiac pulse: Preliminary results.\n \n \n \n \n\n\n \n Peluffo-Ordonez, D., H.; Rodriguez-Sotelo, J., L.; Revelo-Fuelagan, E., J.; Ospina-Aguirre, C.; and Olivard-Tost, G.\n\n\n \n\n\n\n In 2015 IEEE 2nd Colombian Conference on Automatic Control (CCAC), pages 1-6, 10 2015. IEEE\n \n\n\n\n
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\n\n\n@inproceedings{\n title = {Generalized Bonhoeffer-van der Pol oscillator for modelling cardiac pulse: Preliminary results},\n type = {inproceedings},\n year = {2015},\n pages = {1-6},\n websites = {http://ieeexplore.ieee.org/document/7345211/},\n month = {10},\n publisher = {IEEE},\n id = {394434f0-b9b8-38da-b783-2c84af41dd71},\n created = {2021-02-06T20:42:44.352Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:52.804Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {This work presents an approach for modelling cardiac pulse from electrocardiographic signals (ECG). We explore the use of the Bonhoeffer-van der Pol (BVP) model-being a generalized version of the van der Pol oscillator - which, under proper parameters, is able to describe action potentials, and it can be then adapted to modelling normal cardiac pulse. Using basics of non-linear dynamics and some algebra, the BVP system response is estimated. To account for an adaptive response for every single heartbeat, we propose a parameter tuning method based on a heuristic search in order to yield responses that morphologically resemble real ECG. This aspect is important since heartbeats have intrinsically strong variability in terms of both shape and length. Experiments are carried out over real ECG from MIT-BIH arrhythmias database. We perform a bifurcation and phase portrait analysis to explore the relationship between non-linear dynamics features and pathology. Preliminary results provided here are promising showing some hints about the ability of non-linear systems modelling ECG to characterize heartbeats and facilitate the classification thereof, being latter very important for diagnosing purposes.},\n bibtype = {inproceedings},\n author = {Peluffo-Ordonez, D. H. and Rodriguez-Sotelo, J. L. and Revelo-Fuelagan, E. J. and Ospina-Aguirre, C. and Olivard-Tost, G.},\n doi = {10.1109/CCAC.2015.7345211},\n booktitle = {2015 IEEE 2nd Colombian Conference on Automatic Control (CCAC)}\n}\n\n This work presents an approach for modelling cardiac pulse from electrocardiographic signals (ECG). We explore the use of the Bonhoeffer-van der Pol (BVP) model-being a generalized version of the van der Pol oscillator - which, under proper parameters, is able to describe action potentials, and it can be then adapted to modelling normal cardiac pulse. Using basics of non-linear dynamics and some algebra, the BVP system response is estimated. To account for an adaptive response for every single heartbeat, we propose a parameter tuning method based on a heuristic search in order to yield responses that morphologically resemble real ECG. This aspect is important since heartbeats have intrinsically strong variability in terms of both shape and length. Experiments are carried out over real ECG from MIT-BIH arrhythmias database. We perform a bifurcation and phase portrait analysis to explore the relationship between non-linear dynamics features and pathology. Preliminary results provided here are promising showing some hints about the ability of non-linear systems modelling ECG to characterize heartbeats and facilitate the classification thereof, being latter very important for diagnosing purposes.\n
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\n \n \n\n \n \n \n \n \n \n Novel spectral characteristics of the electrical current waveform to quantifying power quality on LED lamps.\n \n \n \n \n\n\n \n Peluffo-Ordonez, D., H.; and Revelo-Fuelagan, E., J.\n\n\n \n\n\n\n In 2014 XIX Symposium on Image, Signal Processing and Artificial Vision, pages 1-5, 9 2014. IEEE\n \n\n\n\n
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\n\n\n@inproceedings{\n title = {Novel spectral characteristics of the electrical current waveform to quantifying power quality on LED lamps},\n type = {inproceedings},\n year = {2014},\n keywords = {Power quality,lighting systems,periodogram,power factor corrector,power spectral density},\n pages = {1-5},\n websites = {http://ieeexplore.ieee.org/document/7010182/},\n month = {9},\n publisher = {IEEE},\n id = {3673f724-4183-3950-9b52-6e8306da3834},\n created = {2021-02-06T19:01:23.652Z},\n file_attached = {false},\n profile_id = {967c9de0-8d3c-3991-bbe2-1cf187e121df},\n last_modified = {2021-02-06T20:51:51.019Z},\n read = {false},\n starred = {false},\n authored = {true},\n confirmed = {true},\n hidden = {false},\n private_publication = {false},\n abstract = {LED lamps are widely used in household, nonetheless they are still non-linear. Therefore, LEDs need a power supply system to correcting their operation, which introduces nonlinearities into the electrical grid and distortions on waveform. Then analysis and quantification of electrical signals is becoming a key issue. This work presents a spectral analysis of analysis of electric current signal in LEDs lamps which yields a novel collection of characteristics and measures to quantify the waveform quality. In particular, periodogram and Fourier transform are considered. For experiments, two circuits are considered: one that corresponds to the commercial LEDs lamp connected to AC source and another one incorporating a power factor corrector. Experimentally, the usefulness and applicability of proposed characteristics is proved.},\n bibtype = {inproceedings},\n author = {Peluffo-Ordonez, Diego Hernan and Revelo-Fuelagan, Edgardo Javier},\n doi = {10.1109/STSIVA.2014.7010182},\n booktitle = {2014 XIX Symposium on Image, Signal Processing and Artificial Vision}\n}\n\n LED lamps are widely used in household, nonetheless they are still non-linear. Therefore, LEDs need a power supply system to correcting their operation, which introduces nonlinearities into the electrical grid and distortions on waveform. Then analysis and quantification of electrical signals is becoming a key issue. This work presents a spectral analysis of analysis of electric current signal in LEDs lamps which yields a novel collection of characteristics and measures to quantify the waveform quality. In particular, periodogram and Fourier transform are considered. For experiments, two circuits are considered: one that corresponds to the commercial LEDs lamp connected to AC source and another one incorporating a power factor corrector. Experimentally, the usefulness and applicability of proposed characteristics is proved.\n
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