Enrique Reyes-Archundia

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• PhD
• Professor (Full) at Morelia Institute of Technology

Recently, video surveillance systems have evolved from expensive, human-operated monitoring systems that were only useful after the crime was committed to systems that monitor 24/7, in real time, and with less and less human involvement. This is partly due to the use of smart cameras, the improvement of the Internet, and AI-based algorithms that al...

The introduction of renewable energy sources, distributed energy systems, and power electronics equipment has led to the emergence of the Smart Grid. However, these developments have also caused the worsening of power quality. Selecting the correct sampling frequency and feature extraction techniques are essential for appropriately analyzing power...

In medical image processing, early detection of eye diseases like glaucoma is crucial to prevent blindness. This study evaluates two deep learning models-Support Vector Machine and U-Net-for classifying retinal fundus images to improve glaucoma detection. Using 316 images from "The Brazil Glaucoma Database," the study applied various preprocessing...

The use of artificial intelligence is a practice that is increasingly integrated into video surveillance systems, whether closed-circuit television systems or systems with intelligent IP cameras. In this way, video surveillance systems usually offer, at low cost, different functionalities such as object and person detection, facial recognition, iss...

Resumen. La humedad del suelo es crucial en diversos campos, y su monitoreo para guiar el riego representa un desafío. El aprendizaje automático ha surgido como una herramienta prometedora para predecir con precisión los niveles de humedad del suelo. Este estudio se centra en evaluar técnicas de aprendizaje automático para esta tarea, entrenando mo...

La descripción cuantitativa de las propiedades de conductividad hidráulica del suelo de cultivo es fundamental para optimizar el uso de recursos hídricos. Continuamente se proponen modelos analíticos y numéricos para intentar predecir las dinámicas de infiltración de agua, e identificar parámetros hidráulicos para planear esquemas de asignación y u...

Electromyography (EMG) and electrical impedance tomography (EIT) have seen significant advances in recent years, driven by the increasing need for efficient assessment of muscle activity in various fields, including sports medicine, rehabilitation and neurology. Optimal electrode selection and design is crucial for reliable data acquisition as it d...

This work shows the design and validation of a Shunt Active Power Filters (SAPF) using Controller Hardware-In-the-Loop (CHIL) Simulations by using a OP5707XG Real-Time Simulator module provided by OPAL-RT, an external OP8666 controller, a host PC and an oscilloscope for visualization. A novel methodology for the modelling of real non-linear electri...

Diabetes Mellitus type 1 is an autoimmune disease, where the beta cells of the pancreas that produce insulin are destroyed, making it necessary for the patient to receive insulin externally. Additionally, you should lead a healthy lifestyle: balanced diet, exercise and adequate hydration, to keep your glucose levels within the range recommended by...

In recent years, the incorporation of renewable energies and the connection and disconnection of large loads, among others, have caused the quality of energy to decrease, which is why the study of disturbances in energy quality has become relevant due to the negative effects that they cause to users, such as increased consumption and decreased usef...

In recent years, analysis of power quality disturbances has taken on great relevance due to the greater use of power electronic equipment and the search for alternative sustainable energy sources whose use generates fluctuations in the electrical grid. In real-time applications, studying hardware platforms that allow disturbance detection and class...

Astronomy allows us to study outer space, understand how our solar system was formed, analyze the celestial objects that exist, as well as study the effects that these objects have on our planet. Through optical telescopes we can see and study these objects by observing their radiation in the visible, infrared and ultraviolet spectrum. Through radi...

Soil moisture is crucial in various fields and monitoring it to guide irrigation is challenging. Machine learning has emerged as a promising tool to predict soil moisture levels accurately. This study evaluates machine learning techniques for this task, training models with meteorological variables and direct soil moisture measurements. Four machin...

Manipulation of digital images presents a significant challenge, primarily due to the continuous advancement and sophistication of image enhancement tools. As a consequence, image feature extraction and matching have become pivotal areas of research in the field of image processing. Among the various techniques developed, the Scale-Invariant Featur...

This work studies the efficiency and long-term viability of powered hydrogen production. For this purpose, a detailed exploration of hydrogen production techniques has been undertaken, involving data collection, information authentication, data organization, and analysis. The efficiency trends, environmental impact, and hydrogen production costs in...

The integration of smart electrical networks aims to better respond to faults, and distribute and control energy consumption, all of this would be difficult to achieve without the functions of smart meters that allow the sending of information between electricity companies' services and the consumer, which is why it is important to guarantee the re...

Power quality improvement and Power quality disturbance (PQD) detection are two significant concerns that must be addressed to ensure an efficient power distribution within the utility grid. When the process to analyze PQD is migrated to real-time platforms, the possible occurrence of a phase mismatch can affect the algorithm’s accuracy; this paper...

Since traditional agricultural traceability systems are largely centralized, traceability results are not always accurate, there is a risk of privacy data leakage. A trustworthy agricultural traceability system built on the Ethereum Blockchain was suggested to solve these issues. On the other hand, the use of Blockchain and IPFS (Interplanetary Fil...

The traceability of any product and food is vital within the supply chain of various food organizations, countries, and society in general since it allows us to know details of the logistics of food products at all times and, therefore, guarantees their food security by participating various entities including producers, consumers, intermediaries,...

Efficient medical information management is essential in today’s healthcare, significantly to automate diagnoses of chronic diseases. This study focuses on the automated identification of diabetic patients through a clinical note classification system. This innovative approach combines rules, information extraction, and machine learning algorithms...

This paper presents a Hardware in the Loop simulation for the detection, classification, and location of faults in transmission lines with Unified Power Flow Controller compensation. Hardware devices are proposed to demonstrate that the traveling wave concept for fault location in a Hardware in the Loop simulation is possible and replicable under l...

Detecting perturbation in electrical signals is crucial to assure power quality (PQ) and protect equipment connected to an electrical network. Some of the information generated by disturbances analysis can be communicated using Internet of Things (IoT) protocols, but it is vital to verify the integrity of the data. As a result of the lack of securi...

This paper describes a method for detecting, localizing, and classifying fault events in high voltage transmission lines with Unified Power Flow Controller compensation. The proposed approach employs a single-end method that uses the discrete wavelet transform in combination with a probabilistic neural network. The analysis of the interaction of th...

In this work, a comparative evaluation of embedded devices for Natural Language Processing (NLP) in biomedical applications in Spanish is carried out, specifically in text-to-speech and speech-to-text algorithms. Several embedded devices have been selected to achieve this, including Jetson Nano, Raspberry Pi (4B, 400, and 3B+), and Latte Panda. Thi...

Monitoring disturbances in power quality (PQD) has gained importance in recent decades. This interest arises from the fact that disturbances associated with power quality directly affect the equipment connected to the grid, leading to malfunctions or complete equipment failure. For this reason, efforts have been made to optimize the methods for det...

Detecting disturbances using digital signal processing methods and techniques that allow the correct extraction of their distinctive characteristics to make the classification more effective is necessary for Power Quality monitoring. But developing an automatic detection system to be applied in smart measurement devices is not a trivial task, espec...

Surface electromyography (sEMG) is the de-facto biopotential medical instrumentation solution for non-invasive detection of limb motion EMG activation signals, which in turn provides important information regarding intentional and reactive muscle activity. However, sEMG delivers information of electrical activity mainly due to superficial muscles o...

Cybersecurity incidents are becoming more frequent due to the high degree of penetration that information and communication technologies have in our daily lives. One of the critical infrastructures that has benefited the most in recent years from the broad integration of technologies has been the smart grid. Smart metering systems allow, among othe...

One of the fundamental components of smart cities is the smart grid characterized by various information and operational technologies that guarantee reliable and clean energy supply. For this reason, they are a fundamental pillar for achieving sustainability in the world in which we live. Despite the enormous advantages of the smart grid, it has qu...

El monitoreo de la calidad de la energía ha tomado importancia en las últimas décadas, este interés se debe a que las perturbaciones asociadas a la calidad de la energía afectan a los equipos conectados a la red, ocasionando mal funcionamiento o hasta la pérdida total de estos artefactos, por esta razón se busca optimizar los métodos de detección d...

Because of its undoubted advantages, the Thyristor Controlled Series Capacitor (TCSC) is one of the most widely used power-electronic controllers in power systems. However, the TCSC has also been a cause of concern in protective relaying because of its impact on the impedance seen by conventional distance relays, which may lead to an incorrect asse...

The appearance of Power Quality Disturbances can cause serious damage to the utility grid. Their detection and identification are two of the major problems related to the improvement of Power Quality. This paper presents an evaluation of different combinations of wavelet-based features for the detection and classification of eight types of Single P...

The improvement in Power Quality has been a concern for both the public and private sectors in recent years. One of the main problems within this topic is the appearance of anomalies or disturbances in the power supply, which represent sudden changes in the waveforms of the signals and cause severe damage to the utility grid. This paper presents a...

Thyristor controlled series compensation (TCSC) is widely used in long transmission lines to mainly improve power transfer capability. However, TCSC produces complicated impedance that negatively affects distance protection operation. This paper presents a mathematical model in the time domain to achieve the detection of the fault in a compensated...

Digital twins are a technology growing widely today because it can map the physical world with the virtual world, which makes it an attractive solution for the development of cyber-physical systems. Within the cyber-physical systems, agrovoltaic systems are the combination of renewable energy systems with monitoring and control systems for soil and...

In recent years, electrical power systems have focused on achieving three basic principles: decarbonization, digitization, and decentralization, to make electricity consumption more efficient. One of the best ways to improve electricity consumption is awareness by end consumers. To do this, the user must always know their electricity consumption an...

Current trends in distributed computing facilitate data processing near the end user through Cloud-Fog-Edge architectures. Agricultural instrumentation applications can greatly benefit from edge computing signal processing, to provide detailed information about soil hydraulic conductivity towards improving irrigation planning and scheduling. A mult...

Optical decarburization measurements are preferred for quality tests, modeling, or indirect methods over carbon steel products. The measurements are commonly done by metallographs and can be supported by image processing. Image processing allows the collection of multiple measurements from digital micrographs. Nevertheless, limited attention has be...

El presente documento introduce una metodología para la medición de profundidad de capa descarburada en metalografías usando procesamiento de imágenes. La metodología utiliza como base el software ImageJ y funciones de procesamiento del propio software, así como propias. El procesamiento de las imágenes digitales (metalografías) pasa por un preproc...

The dispersive and cohesive properties of soil moisture make it an important variable in regional microclimatic analyses and landscape change from runoff to weathering, partitioning, mass loss, and sediment transport in croplands. Thus, measurement of soil hydraulic conductivity is important for assessing soil properties and plays an important role...

Soil moisture influences geomorphological, atmospheric, hydrological, and agricultural biological processes, and intersects multiple areas of scientific research. Moreover, soil moisture measurements play an essential role in sustainable development since they allow elucidating information about the synergistic relationship between the processes in...

La Calidad de la Energía ha cobrado un gran interés para el sector público y privado en los últimos años. Este concepto se refiere al conjunto de parámetros y propiedades que guardan relación con la forma de onda de las señales eléctricas. Uno de los principales problemas dentro de este tópico resulta en la aparición de anomalías o perturbaciones d...

The development of technology has made agriculture more and more efficient, being more productive with less resources consumed, such as water and fertilizers. Our objective is to develop more efficient measurement systems for agricultural applications, e.g. to be more intelligent measurement and data processing and to make forecasts, helping decisi...

Although smart grids offer multiple advantages over traditional grids, there are still challenges to overcome to ensure the quality of service and grid security. In particular, cybersecurity plays an essential role in ensuring grid operation reliability and resilience to external threats. The traditional approach to address cybersecurity issues gen...

Cod. 10085 | Industrias de la información y del conocimiento | 0403.02 Redes y telecomunicaciones nnnnartículo de investigación / research article Una metodología para la ciber higiene en redes eléctricas inteligentes Juan-Carlos Olivares-Rojas, Enrique Reyes-Archundia, Una metodología para la ciber higiene en redes eléctricas inteligentes A method...

With the incorporation of Information and Communication Technologies into the Power Grids, the concept of Smart Grids arises. One of the main components in Smart Grid is the use of Embedded Systems that allow the processing and communication of a great diversity of information and applications. However, using these technologies brings a series of n...

The increasing hardware capabilities of embedded devices used in smart meters and other smart grid devices allow the implementation of new applications for the utilities and end-users using electrical data. This work shows the implementation of a VAR model to forecasting electricity consumption using weather data across the smart metering system in...

This work presents a comparative study of various embedded database schemes for applications in smart metering systems to determine what the best way to store is and retrieve information in smart meters. The assessment comparative takes into consideration a literature review and diverse database technologies factors. The results obtained can help d...

Since very remote times, the Mexican health sector has been characterized by being segmented and containing various actors, which generates problems in the quality of care within the users due to the lack of data integration and interoperability. Recently, there have been modifications and updates in health matters derived from increased of use inf...

The lowering cost of electricity generation technologies by renewable means has caused the role of end-users to change from being a simple consumer to a producer of their energy. This new role has been called a prosumer and has contributed to modifying electricity markets, by allowing prosumers merchandizing the energy surplus to electricity compan...

Steel’s transformation is crucial for quality improvement. The high-temperature reheating process is usually performed under oxidizing atmospheres. Therefore, decarburization is present, resulting in material losses and depreciating the material’s quality. The decarburization depth is commonly used to authenticate the quality of steel or develop pr...

This paper shows the proposal of the use of linked data for smart metering systems. The aim of linked data in smart grid applications such as smart metering systems is to give semantic knowledge of the energy transactions between all participators in the power markets. In combination with other technologies like blockchain, the linked data could im...

The proliferation of cyber-physical systems is bringing with it the growing need to link these systems with virtual environments. Particularly in the smart grid, the high costs of some devices and especially the imminent need to not be able to manipulate these devices in production environments make necessary mechanisms that allow the manipulation...

The smart grid revolution has only been possible, thanks to the development and proliferation of smart meters. The increasingly growing computing capabilities for Internet of Things devices have made it possible for data to be processed directly from the devices where it is produced; this has been called edge computing. Edge computing is allowing t...

The use of devices based on power electronics has been widely spread to improve the transmission lines performance. However, the inclusion of these compensators, named Flexible AC Transmission Systems, produces adverse effects on conventional protection schemes. For instance, it modifies the apparent impedance of transmission lines. This condition...

One of the most relevant applications today in the smart grid is the use of artificial intelligence and analysis techniques over the data generated, allowing both end-users and utility companies new applications. Energy fraud is considered one of the main non-technical losses for utilities that translate into economic losses, so being able to detec...

New technologies associated with the fourth industrial revolution are transforming the world in which we live, and the power grid is no exception since it has been provided with intelligence. One of its best-known applications is smart metering systems that allow real-time energy consumption/production to be known, as well as other benefits such as...

Analyzing data on smart meters is a trend increasingly used by utility companies as it allows a better understanding of data directly from the source of origin. New distributed computing architectures like edge computing have given advance to improve data analytics. Generally, the capacity of such devices, including smart meters, is quite limited,...

Monitoring of power quality disturbances (PQD) in power systems is crucial in determining their causes and avoid equipment damages. In this work, a MatlabR algorithm was implemented to detect and extract the distinctive features of seven simple power quality disturbances (sag, swell, interruption, flicker, harmonics, oscillatory transient, and notc...

Con la introducción de medidores inteligentes se pueden obtener beneficios no solo en el aspecto de mejoras en el servicio eléctrico sino también en seguridad. El uso de una cámara de vigilancia dentro del medidor inteligente para detectar movimiento es una buena medida para mitigar el riesgo de robo o manipulación física del medidor. Los algoritmo...

The forecasting of electricity consumption is a well-study research problem; however, electricity consumption is a complex model because it depends on many factors, and its accuracy is not always accurate. The accuracy of this forecasting impact; for example, in the utilities in the bulk generation of electricity and in the end-user at economical p...

Las nuevas tecnologías asociadas con la cuarta revolución industrial están transformando el mundo en el que vivimos y la red eléctrica no es la excepción ya que ha sido provista con inteligencia. Una de las aplicaciones mejor conocida son los sistemas de medición inteligente, los cuales permiten medir en tiempo real el consumo/producción de energía...

Con la inminente llegada de la cuarta revolución industrial, la red eléctrica se está moviendo hacia una red eléctrica inteligente, lo que le permite un sin fin de aplicaciones nuevas como lo son los sistemas de medición inteligente. Estas nuevas aplicaciones generan una cantidad inmensa de datos de diversas fuentes y para brindar la "inteligencia"...

The physicochemical characterization of pharmaceutical materials is essential for drug discovery, development and evaluation, and for understanding and predicting their interaction with physiological systems. Amongst many measurement techniques for spectroscopic characterization of pharmaceutical materials, Electrical Impedance Spectroscopy (EIS) i...

Electricity is an essential comfort to support our daily activities. With the competitive increase and energy costs by the industry, new values and opportunities for delivering electricity to customers are produced. One of these new opportunities is electric vehicles. With the arrival of electric vehicles, various challenges and opportunities are b...

Electricity is an essential comfort to support our daily activities. With the competitive increase and energy costs by the industry, new values and opportunities for delivering electricity to customers are produced. One of these new opportunities is electric vehicles. With the arrival of electric vehicles, various challenges and opportunities are b...

En México el organismo que se encarga de estudiar y pronosticar la demanda energética es el Centro Nacional de Control de Energía (CENACE). Mensualmente el CENACE genera reportes de pronóstico de la demanda máxima integrada (DMI), para regular la cantidad de la energía generada. La DMI representa el nivel más alto de consumo eléctrico por región. E...

Resumen La Transformación Digital a través de las Tecnologías de las Cuarta Revolución Industrial han incidido de buena forma en prácticamente todas las actividades humanas y la red eléctrica no es la excepción. La Red Eléctrica es la responsable de brindar energía eléctrica a todos los procesos humanos y vivir sin ella es prácticamente imposible....

The smart meters are considered the main component of the smart grid allowing communication and processing of electrical energy measurement data to utilities. Nowadays, there is a great concern that smart meters' data which is communicated mainly by wireless or wired communication means produce electromagnetic fields which be harmful to human healt...

El abaratamiento de las energías renovables aunado al amplio uso de tecnologías de información y comunicaciones en la red eléctrica, entre otros factores han hecho que los mercados eléctricos principalmente en el sector minorista entre los usuarios finales estén cambiando de forma muy dinámica. En este trabajo se presenta un estudio de las diversas...

RESUMEN Con la llegada de la cuarta revolución industrial, los trabajos que hoy en día se requieren y en el futuro inmediato se requerirán, no cuentan con personas capacitadas para ello, esto se debe entre otros factores, a que los planes y programas de estudio no son del todo flexibles. En este trabajo se presenta una propuesta de cómo estructurar...

Smart metering is among the most important current and future trends in smart grid development. Utility companies spearheading the smart meter revolution claim many benefits for the end-user. One of the key information technology solutions applied to smart meters is ensuring data protection and cybersecurity. Nowadays, the data tampering in smart m...

With the proliferation of smart meters in smart grids, new challenges have emerged in the energy sector and applications are continuously developed, mainly concerning data analytics to address those challenges. Traditionally, data analytics in smart grid systems is performed in server-side tier; however, it is necessary to process data analytics cl...

1 Motivation The Smart Metering Systems (SMS) allow the final-user, real-time monitoring of their energy consumption through Smart Meter (SM). The SM measures the energy consumption and energy production, and reports this data to the utilities. Also, SMS allows the automatic connection and disconnection, demand-response events and dynamic electrica...

Palabras Clave: Predicción, Consumo/Producción Energía Eléctrica, Fraudes de Energía, Medidor Inteligente Resumen Con la llegada de los medidores inteligentes los reportes de consumo/producción de energía eléctrica se hacen de forma casi instantánea brindando la posibilidad del análisis de dichos datos para diversas aplicaciones. La detección de fr...

El robo de energía es la principal pérdida no técnica de las empresas suministradoras del servicio eléctrico. Con la introducción de medidores inteligentes se registran las lecturas de medición del consumo y producción de energía eléctrica de forma más periódica, lo cual conlleva al posterior uso de esta información. En este trabajo se presenta la...

Resumen. La Red Eléctrica Inteligente es uno de los pilares fundamentales de la Transformación Digital producida por la cuarta revolución industrial. Muchos de los problemas de la red eléctrica inteligente como los sistemas de medición inteligente no pueden modelarse a través de pruebas reales de laboratorio debido a la densidad de componentes util...

El robo de energía es la principal pérdida no técnica de las empresas suministradoras del servicio eléctrico. Con la introducción de medidores inteligentes se registran las lecturas de medición del consumo y producción de energía eléctrica de forma más periódica, lo cual conlleva al posterior uso de esta información. En este trabajo se presenta la...

Con el amplio uso de las tecnologías de información y comunicaciones en la operación de la red eléctrica, tanto el usuario final como la empresa eléctrica pueden ser beneficiados al contar con un sistema de medición en tiempo real del consumo/producción de energía eléctrica a través de un portal Web o aplicación móvil, entre otras funcionalidades....

La generación de grandes volúmenes de datos por los dispositivos inteligentes hoy en día representa un reto importante para la obtención de información valiosa sobre patrones y tendencias en el comportamiento de sistemas complejos gracias a las nuevas técnicas de análisis de datos mediante inteligencia artificial. En éste trabajo se presenta una pr...

With the proliferation of smart meters in smart electric networks, new applications and challenges to the energy sector are brought, mainly with respect to cybersecurity and data privacy. To protect them, a mechanism that helps protect data is necessary, with cryptography being one of the most used. This paper presents a comparison of algorithms th...

Una Red Eléctrica Inteligente o Smart Grid (SG) es una red eléctrica que integra, a través de una comunicación bidireccional, las acciones de proveedores de servicio y usuarios conectados a ella. En la actualidad uno de los retos que enfrenta la Red Eléctrica Mexicana debido al crecimiento poblacional e industrial es el incremento de la demanda ene...

Aplicacion de Tecnicas de UX en el Desarrollo de un Portal de un Sistema de Medición Inteligente

Con la llegada de los medidores inteligentes la operación de la red eléctrica ha sido beneficiada tanto para la empresa eléctrica como para el usuario final al dotar de un sistema de medición en tiempo real de consumo/producción de energía eléctrica, así como otras características funcionales como cortes y reconexiones de energía de forma automátic...

With the inclusion of network interfaces always connected to embedded systems, the concept of Internet of Things emerges. Today, IoT devices are in virtually all human activities facilitating the quality of life of people. Despite the advantages of these devices, there are also some drawbacks, one of the main ones being cyber security. One of the t...

Eje1. La investigación en las Ciencias Básicas Mesa 6. Ciencias Exactas Palabras Clave: (Cyber Seguridad, Internet de las Cosas-IoT-) Resumen Los sistemas de cómputo específico (embedded systems) son cada vez más pequeños y comunes hoy en día para casi cualquier actividad humana. Con la incorporación de Tecnologías de Comunicación particularmente i...

Eje1. La investigación en las Ciencias Básicas Mesa 6. Ciencias Exactas Palabras Clave: (Base de Datos, Monitoreo, Medidores Inteligentes) Con la llegada de las Tecnologías de la Información y Comunicación a la Red Eléctrica se ha dotado a ésta de nuevas aplicaciones que facilitan la operación y control del sistema eléctrico haciéndolo más intelige...

This paper describes an algorithm to detect, localize and classify fault events in overhead transmission lines compensated with a thyristor-controlled series capacitor (TCSC). During a fault event, a complex pattern of traveling wave reflections and refractions is generated at the point of fault inception. The proposed algorithm uses the discrete w...

Nowadays the blockchain is one of the most important topics in research. This is because its applications are varied and in all fields. One of these fields is for the Smart Grid. Although blockchain itself is a cybersecurity mechanism, many of its applications have been carried out in the area of decentralization and trading energy. This work focus...

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