Person:
Minchala Ávila, Luis Ismael

Birth Date

1963-11-27

ORCID

0000-0003-0822-0705

Scopus Author ID

56102775600

Afiliación

Universidad de Cuenca, Cuenca, Ecuador
Universidad de Cuenca, Departamento de Ingeniería Eléctrica, Electrónica y Telecomunicaciones(DEET), Cuenca, Ecuador
Universidad de Cuenca, Facultad de Ingeniería

País

Ecuador

Organizational Units

Organizational Unit

Facultad de Ingeniería

La Facultad de Ingeniería, a inicios de los años 60, mediante resolución del Honorable Consejo Universitario, se formalizó la Facultad de Ingeniería de la Universidad de Cuenca, conformada por las escuelas de Ingeniería Civil y Topografía. Esta nueva estructura permitió una mayor especialización y fortalecimiento en áreas clave para el desarrollo regional. Cuenta con programas académicos reconocidos internacionalmente, que promueven y lideran actividades de investigación. Aplica un modelo educativo centrado en el estudiante y con procesos de mejora continua. Establece como prioridad una educación integra, la formación humanística es parte del programa de estudios que complementa a la sólida preparación científico-técnica. Las actividades culturales pertenecen a un programa permanente y activo al interior de nuestras dependencias, a la par de proyectos que desde el alumnado y bajo la supervisión de docentes cumplen con servicios de apoyo a nivel local y regional; promoviendo así una vinculación estrecha con la comunidad.

Job Title

Profesor (T)

Last Name

Minchala Ávila

First Name

Luis Ismael

Full item page

Search Results

Now showing 1 - 10 of 50

Time-limited model reduction for semi-markovian jump systems based on generalized gramians
(2021) Lan, Pin; Minchala Ávila, Luis Ismael; Li, Huimin; Zhang, Huiyan
This paper is concerned with the approximation problem for semi-Markovian jump systems (SMJSs) based on generalized time-limited Gramians. For a given SMJS with partially known transition probabilities, the generalized time-limited Gramians are defined and then solved by using time-interval input/output energy functions. The proposed model reduction algorithm can solve the synchronization jump problem, and also achieve the required reduced accuracy within the expected time-interval. Specially, the reduced error of the proposed algorithm is lower compared with the balanced truncation method, which has more theoretical value in time-interval control synthesis. Finally, a numeral example including four subsystems is given to estimate the effectiveness of the proposed results. © 2021 ICIC International.
An open source SCADA system to implement advanced computer integrated manufacturing
(IEEE COMPUTER SOCIETY, 2016-12-01) Minchala Ávila, Luis Ismael; Astudillo Salinas, Darwin Fabián; Ochoa, S; Velecela, E
The computer integrated manufacturing (CIM) approach allows the possibility to remotely and optimally control the entire production process in a plant. The implementation of CIM architectures demands the installation of several software platforms, which most of the cases are commercial and have high licensing prices. This research presents the development of an open software architecture for advanced CIM (OSACIM) by using two open software development platforms: Java and Python. The use of open software in the development of this solution allows the creation of a low price CIM approach. The results of using the system in laboratory tests show good results in comparison with commercial softwares for developing OPC communications and SCADA systems, which perform similar functionalities as the proposed OSACIM. The main features and limitations of the system are reported.
Lower limbs motion intention detection by using pattern recognition
(Institute of Electrical and Electronics Engineers Inc., 2018) Astudillo Palomeque, Felipe Emmanuel; Charry Ramírez, José Ricardo; Minchala Ávila, Luis Ismael; Wong de balzan , Sara Null
Electromyographic (EMG) signals processing allows to perform the detection of the intention of movement of the limbs of the human body in order to further use this decision to control wearable devices. For instance, robotic exoskeletons main objective consist of a human-robot interface capable of understanding the user’s intention and reacting appropriately to provide the required assistance in an opportune way. In this paper, we study the performance of superficial EMG intended to design a intent pattern recognition based on Artificial Neural Networks (ANN) trained by the Levenberg-Marquardt method. Experiments consisting in 231 EMG records corresponding to 13 lower limbs muscles from 21 healthy subjects were considered. The EMG signals were randomly divided into the following sets: 70 % for training, 15 % for validation and 15 % for evaluation. The ANN-based pattern recognition was evaluated sample per sample with the movement intention annotations (target) and after the traininig operation end, the performance was evaluated in relation to the events (number of steps). The results show an accuracy of 90,96% sample per sample and 94,88% for an based on events evaluation. These findings motivates the use of this methodology for the classification of the motion intention detection in subjects with pathologies in the lower limbs.
A comparative study of black-box models for cement quality prediction using input-output measurements of a closed circuit grinding
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS INC., 2016-04-18) Minchala Ávila, Luis Ismael; Sanchez, C; Yungaicela, M
This paper presents the methodology of design of three different modeling techniques for predicting cement quality using input-output measurements of the closed circuit grinding in a cement plant. The modeling approaches used are: statistical, artificial neural networks (ANN), and adaptive neuro-fuzzy inference systems (ANFIS). The data set for generating the predictive models are obtained from a database of the operation of the cement plant, UCEM-Guapan. An OPC (OLE for process control) network configuration in the SCADA system allows online validations of the proposed models in order to select the best approach for real-time prediction of cement quality.
A Comparative Study on Time Series Prediction of Photovoltaic-Power Production Through Classic Statistical Techniques and Short-Term Memory Networks
(IEEE, 2023) Duran Nicholls, Juan Francisco; Minchala Ávila, Luis Ismael; Minchala Ávila, Luis Ismael
The inherent variability in the power production of renewable energy sources (RES) limits the effectiveness of energy management systems (EMS) since optimal dispatch on power networks highly depends on the accuracy of predictors associated with the energy output and load demand. Consequently, power prediction tools for variable time horizons allow for improving energy management decisions. In this context, this work presents a detailed methodology for the deployment of predictive models for the photovoltaic (PV) power output of a small solar farm. The prediction models process a PV power dataset's time series using statistical techniques and neural networks with long-short term memory (LSTM). Before the data fitting, we develop a data preprocessing system, which involves evaluating missing data in the time series and getting descriptive analysis of the data set to either complete portions or delete atypical data. The results strongly suggest that the LSTM network performs better than the statistical model in exchange for more considerable computation times for long-term predictions
Minimization of energy storage in a solar farm by controlling the state of charge of a battery bank
(Institute of Electrical and Electronics Engineers Inc., 2022) Minchala Ávila, Luis Ismael; Mendieta Sarmiento, Miguel Angel
This paper presents a methodology for reducing energy storage requirements by using batteries to smooth out power variations of a solar farm. This reduction is achieved by combining the operation of an energy management system (EMS) with an optimally sized battery energy storage system (BESS). The capacity calculation of the BESS is determined by using an evolutionary algorithm. The EMS deploys a state-of-charge feedback (SOC-FB) control system to reduce the power variations of a solar farm, while the optimization algorithm determines the minimum required capacity of the BESS to keep the SOC in an acceptable range. This approach is tested by using real data from a small solar farm. Simulation results show a significant reduction of the power variation of the solar farm output, while the SOC of the BESS keeps within the operating range.
Evaluating the mindwave headset for automatic upper body motion classification
(Institute of Electrical and Electronics Engineers Inc., 2018) Palacio Baus, Kenneth Samuel; Minchala Ávila, Luis Ismael; Vázquez Rodas, Andrés Marcelo; Astudillo Salinas, Darwin Fabián; Astudillo Salinas, Darwin Fabián
This paper presents preliminary results on evaluating the NeuroSky Mindwave headset for upper body motion intention classification. An artificial neural network (ANN) is trained by using a data set built for two different feature extraction methods, one based on the wavelet transform (WT) and another based on the use of spectrograms. Since there are five different types of brain waves,(Î±, Î², Î³, Î”, Î¸) some data aggregation procedures are proposed to reduce the dimensionality of the data set. The classification results show that it is possible to attain a 73.1% of assertion rate. Â© 2017 IEEE.
Registrador de datos pluviométricos basado en el microcontrolador ATMEL y el transceptor LoRa
(2020) Astudillo Salinas, Darwin Fabián; Minchala Ávila, Luis Ismael; Vázquez Rodas, Andrés Marcelo; Piedra Orellana, Kevin Samuel; Lupercio Novillo, Luis Geovany
The water and soil program PROMAS of the University of Cuenca contributes to the sustainable management of water and soil resources. To carry out this task, PROMAS requires, among others, to monitor environmental parameters using meteorological stations. In the present work, a rainfall data logger was developed on a compact printed circuit board (PCB) using surface mount components. LoRaWAN/ LoRa technology is used to transmit the information. LoRa is one of the LPWAN low power, long range network technologies. LoRaWAN is a protocol that manages end-to-end communication. This development integrates the acquisition, storage and transmission of data. The architecture is made up of a gateway device, the network server, and sensor nodes distributed over the area of interest. The data logger has the additional function of downloading data on-site using WiFi technology. The tests carried out showed that the developed prototype worked correctly in the acquisition, transmission and storage of data
Open source SCADA system for advanced monitoring of industrial processes
(Institute of Electrical and Electronics Engineers Inc., 2018) Merchán Piedra, Daniel Felipe; Peralta Sisalima, Jonnathan Antonio; Vázquez Rodas, Andrés Marcelo; Minchala Ávila, Luis Ismael; Astudillo Salinas, Darwin Fabián; Merchán Piedra, Daniel Felipe
Modern industries demand reliable supervision and control of every process involved in the manufacturing. Computer integrated manufacturing (CIM) systems provide a reference frame for integrating the majority of entities of an automation process by using computers to control production systems. Integrating a fully operational CIM system implies high costs of licenses of specialized automation software, which limits its penetration to low and medium size industries. This paper presents the development of an open source supervisory control and data acquisition (SCADA) system by using the general purpose programming platform, Python. The SCADA system offers communication capabilities through an open source OPC-UA server, which solves data exchange with control devices such as PLC, PAC, etc. The system also provides fault-tolerance features thanks to the implementation of an active fault tolerant …
A simple reliable wireless bus design for home automation systems
(Institute of Electrical and Electronics Engineers Inc., 2018) Flores, Pablo; Moscoso Martínez, Marlon; Minchala Ávila, Luis Ismael; Vázquez Rodas, Andrés Marcelo; Astudillo Salinas, Darwin Fabián; Minchala Ávila, Luis Ismael
This paper presents the design and development of a simple wireless bus for domotics (WBD). The architecture of the bus is based on a classical master/multi-slave configuration, where the beginning of any task in the network is initiated by the master unit. The proposed domotic bus shows a reliable performance thanks to the cyclic redundancy check (CRC) algorithm configured in a modified Modbus frame. The commands’ speed response of the proposed bus is increased in comparison with other domotic standards, such as X10, ZigBee, and LonWorks, which offers an affordable, yet reliable self-configurable network solution for home automation solutions (HAS).