A new approach of service platform for water optimization in lettuce crops using wireless sensor network Edgar Maya-Olalla, Hernán Domínguez-Limaico, Carlos Vásquez-Ayala, Edgar Jaramillo-Vinueza, Marcelo Zambrano V, Alexandra Jácome-Ortega, Paul D. Rosero-Montalvo, D. H. Peluffo-Ordóñez Advances in Intelligent Systems and Computing, 2020 Wireless sensor network is implemented and communicated with the cloud through IPv6. The entire system is applied to precision irrigation systems for lettuce crops in Ecuador. The main objective is to provide optimization system for irrigation water for productive purposes and providing crops with the adequate amount of water needed for surviving and producing. To do that the system has a data acquisition system by sensors and this data is stored in web services. By improving the irrigation system crops can be planted throughout the year including summer, the system has a remarkable result for efficient water savings and lettuce crops.
Intelligence in embedded systems: Overview and applications Paul D. Rosero-Montalvo, Vivian F. López Batista, Edwin A. Rosero, Edgar D. Jaramillo, Jorge A. Caraguay, José Pijal-Rojas, D. H. Peluffo-Ordóñez Advances in Intelligent Systems and Computing, 2019
Air quality monitoring intelligent system using machine learning techniques Paul D. Rosero-Montalvo, Jorge A. Caraguay-Procel, Edgar D. Jaramillo, Jaime M. Michilena-Calderón, Ana C. Umaquinga-Criollo, Mario Mediavilla-Valverde, Miguel A. Ruiz, Luis A. Beltrán, Diego H. Peluffo Proceedings 3rd International Conference on Information Systems and Computer Science Inciscos 2018, 2018 Environment monitoring is so important because it is based on the first right of people, life and health. For this reason, this system monitoring air quality with different sensor nodes in the Ibarra that evaluate the parameters of CO2, NOx, UV Light, Temperature and Humidity. The data analysis through machine learning algorithms allow the system to classify autonomously if a certain geographical location is exceeding the established emission limits of gases. As a result, the k-Nearest Neighbor algorithm presented a great classification performance when selecting the most contaminated sectors.
Different perspectives for kernel spectral clustering: A theoretical study Diego H. Peluffo O., Paul D. Rosero M., Carlos H. Pupiales Y., Luis E. Suarez Z., Edgar D. Jaramillo V., Edgar A. Maya O., Jaime R. Michilena C., Carlos A. Vasquez A. 2016 IEEE Ecuador Technical Chapters Meeting Etcm 2016, 2016 Spectral clustering is a suitable technique to deal with problems involving unlabeled clusters and having a complex structure, being kernel-based approaches the most recommended ones. This work aims at demonstrating the relationship between a widely-recommended method, so-named kernel spectral clustering (KSC) and other well-known approaches, namely normalized cut clustering and kernel k-means. Such demonstrations are done by following a primal-dual scheme. Also, we mathematically and experimentally prove the usability of using LS-SVM formulations with a model. Experiments are conducted to assess the clustering performance of KSC and the other considered methods on image segmentation tasks.
RECENT SCHOLAR PUBLICATIONS
Air quality monitoring intelligent system using machine learning techniques PD Rosero-Montalvo, JA Caraguay-Procel, ED Jaramillo, ... 2018 International Conference on Information Systems and Computer Science … , 2018 2018.0 Citations: 26
Intelligence in embedded systems: overview and applications PD Rosero-Montalvo, VFL Batista, EA Rosero, ED Jaramillo, JA Caraguay, ... Proceedings of the Future Technologies Conference, 874-883 , 2018 2018.0 Citations: 15
CIESPAL. 45 años de influencia pionera y fecunda E Jaramillo Chasqui , 2004 2004.0 Citations: 2
Armando Rollemberg: Desafíos y perspectivas de la comunicación S Jaramillo 1993.0
Desafíos y perspectivas de la comunicación (Entrevista a Armando Rollemberg) E Jaramillo Chasqui: Revista Latinoamericana de Comunicación, 31-34 , 1993 1993.0
HISTORIA DE A de la Torre, G Lofredo, N Dávtla, J Mantllla, E Jaramillo, F Jaram1llo, ... Obras de Lisandro de la , 1919 1919.0 Citations: 2
EL FUTURO DE LOS E Jaramillo
81 PERISCOPIO TECNOLÓGICO 86 BmLIOGRAFÍA SOBRE COMUNICAUÓN S Alsius, AR Kauth, E Jaramillo, I Basset, O Islas, R Salaverría, FF Beltrán, ...
PERISCOPIO TECNOLÓGICO BIBLIOGRAFÍA SOBRE COMUNICACIÓN ACTIVIDADES DEL CIESPAL S Alsius, AR Kauth, E Jaramillo, I Basset, O Islas, R Salaverría, FF Beltrán, ...
MOST CITED SCHOLAR PUBLICATIONS
Air quality monitoring intelligent system using machine learning techniques PD Rosero-Montalvo, JA Caraguay-Procel, ED Jaramillo, ... 2018 International Conference on Information Systems and Computer Science … , 2018 2018.0 Citations: 26
Intelligence in embedded systems: overview and applications PD Rosero-Montalvo, VFL Batista, EA Rosero, ED Jaramillo, JA Caraguay, ... Proceedings of the Future Technologies Conference, 874-883 , 2018 2018.0 Citations: 15
CIESPAL. 45 años de influencia pionera y fecunda E Jaramillo Chasqui , 2004 2004.0 Citations: 2
HISTORIA DE A de la Torre, G Lofredo, N Dávtla, J Mantllla, E Jaramillo, F Jaram1llo, ... Obras de Lisandro de la , 1919 1919.0 Citations: 2
Armando Rollemberg: Desafíos y perspectivas de la comunicación S Jaramillo 1993.0
Desafíos y perspectivas de la comunicación (Entrevista a Armando Rollemberg) E Jaramillo Chasqui: Revista Latinoamericana de Comunicación, 31-34 , 1993 1993.0
EL FUTURO DE LOS E Jaramillo
81 PERISCOPIO TECNOLÓGICO 86 BmLIOGRAFÍA SOBRE COMUNICAUÓN S Alsius, AR Kauth, E Jaramillo, I Basset, O Islas, R Salaverría, FF Beltrán, ...
PERISCOPIO TECNOLÓGICO BIBLIOGRAFÍA SOBRE COMUNICACIÓN ACTIVIDADES DEL CIESPAL S Alsius, AR Kauth, E Jaramillo, I Basset, O Islas, R Salaverría, FF Beltrán, ...