Valdivia, Leonardo
Main Affiliation
Preferred name
Valdivia, Leonardo
Official Name
Valdivia Parga, Leonardo Jesús
ORCID
0000-0001-7545-7441
Researcher ID
DZS-8846-2022
Scopus Author ID
57007977900
33 results
Now showing 1 - 10 of 33
- Some of the metrics are blocked by yourconsent settings
Item type:Publication, 1 19 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Comparison Between Reactive and Proactive Protocols of Wireless Sensor Networks: Railway Application<jats:p>Railway is a critical application; hence, all systems that compose the railway infrastructure must meet two conditions: availability and safety. The availability ensures continuous operation of the system; on the other hand, safety is achieved when the device works properly regardless of the environmental or operating conditions. In addition, Wireless Sensor Networks (WSN) are used to perform tasks previously performed manually. However, it is necessary to analyse what protocol is appropriate for the railway industry, since availability and safety are the required attributes. In this work, a recently proposed routing protocol, the Multi-Parent Hierarchical (MPH), has been compared with a well-known protocol, the Ad-hoc On-Demand Distance Vector (AODV), in order to find the most suitable one for the railway applications. For this purpose, a simulator has been developed, which faithfully reifies the workings of a given protocol, considering a fixed, reconfigurable ad-hoc network given by the number and location of participants, and general network conditions.</jats:p>6 7Scopus© Citations 1 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Stochastic Characterization of MAC-Level Reliability and Reassociation Dynamics in IEEE 802.15.4 Networks for Smart Grid Applications(MDPI AG, 2026-04-14); ; ; 20 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Channel Characterization and SC-FDM Modulation for PLC in High-Voltage Power Lines(2022); ; <jats:p>Digital communication over power lines is an active field of research and most studies in this field focus on low-voltage (LV) and medium-voltage (MV) power systems. Nevertheless, as power companies are starting to provide communication services and as smart-grid technologies are being incorporated into power networks, high-voltage (HV) power-line communication has become attractive. The main constraint of conventional HV power-line carrier (PLC) systems is their unfeasibility for being migrated to wideband channels, even with a high signal-to-noise ratio (SNR). In this scenario, none of the current linear/non-linear equalizers used in single carrier schemes achieve the complete compensation of the highly dispersive conditions, which limits their operation to 4 kHz channels. In this paper, a new PLC-channel model is introduced for transmission lines incorporating the effects of the coupling equipment. In addition, the use of the single-carrier frequency-division modulation (SC-FDM) is proposed as a solution to operate PLC systems in a wide bandwidth, achieving transmission speeds above those of the conventional PLC system. The results presented in this paper demonstrate the superior performance of the SC-FDM-PLC over conventional PLC systems, obtaining a higher transmission capacity in 10 to 30 times.</jats:p>1 17Scopus© Citations 4 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Unveiling wearables: exploring the global landscape of biometric applications and vital signs and behavioral impact(2024); ; Juan Arturo Nolazco Flores<jats:title>Abstract</jats:title><jats:p>The development of neuroscientific techniques enabling the recording of brain and peripheral nervous system activity has fueled research in cognitive science. Recent technological advancements offer new possibilities for inducing behavioral change, particularly through cost-effective Internet-based interventions. However, limitations in laboratory equipment volume have hindered the generalization of results to real-life contexts. The advent of Internet of Things (IoT) devices, such as wearables, equipped with sensors and microchips, has ushered in a new era in behavior change techniques. Wearables, including smartwatches, electronic tattoos, and more, are poised for massive adoption, with an expected annual growth rate of 55% over the next five years. These devices enable personalized instructions, leading to increased productivity and efficiency, particularly in industrial production. Additionally, the healthcare sector has seen a significant demand for wearables, with over 80% of global consumers willing to use them for health monitoring. This research explores the primary biometric applications of wearables and their impact on users’ well-being, focusing on the integration of behavior change techniques facilitated by IoT devices. Wearables have revolutionized health monitoring by providing real-time feedback, personalized interventions, and gamification. They encourage positive behavior changes by delivering immediate feedback, tailored recommendations, and gamified experiences, leading to sustained improvements in health. Furthermore, wearables seamlessly integrate with digital platforms, enhancing their impact through social support and connectivity. However, privacy and data security concerns must be addressed to maintain users’ trust. As technology continues to advance, the refinement of IoT devices’ design and functionality is crucial for promoting behavior change and improving health outcomes. This study aims to investigate the effects of behavior change techniques facilitated by wearables on individuals’ health outcomes and the role of wearables in promoting a healthier lifestyle.</jats:p>Scopus© Citations 1 16 - Some of the metrics are blocked by yourconsent settings
Item type:Patent, Cama semiautomática medidora para esterilización de animalesLa presente invención consiste en una cama semiautomática medidora para esterilización de animales y su proceso de utilización, la cual cuenta con una cama que puede medir el peso y la temperatura de forma automática mediante sensores, arrojando la cantidad exacta de anestesia a utilizar en el proceso de esterilización. Además, cuenta con sensores de oxigenación y ritmo cardiaco para monitorear los signos vitales del animal y reportarlos en una pantalla táctil que cuenta con leds y sonido que se activan como alerta en caso de que estos signos se encuentren cerca de los parámetros – altos o bajo – fijados según la epecie, raza y genero del animal a esterilizar. La cama esta provista de pasos a seguir para su correcta y eficiente utilización, además de estar diseñada como una unidad desplegable para trabajo en campo y ser trasladada fácilmente.1 30 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 1Scopus© Citations 1 10 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Statistical Study of User Perception of Smart Homes during Vital Signal Monitoring with an Energy-Saving Algorithm(2022); ; ; <jats:p>Sensor networks are deployed in people’s homes to make life easier and more comfortable and secure. They might represent an interesting approach for elderly care as well. This work highlights the benefits of a sensor network implemented in the homes of a group of users between 55 and 75 years old, which encompasses a simple home energy optimization algorithm based on user behavior. We analyze variables related to vital signs to establish users’ comfort and tranquility thresholds. We statistically study the perception of security that users exhibit, differentiating between men and women, examining how it affects the person’s development at home, as well as the reactivity of the sensor algorithm, to optimize its performance. The proposed algorithm is analyzed under certain performance metrics, showing an improvement of 15% over a sensor network under the same conditions. We look at and quantify the usefulness of accurate alerts on each sensor and how it reflects in the users’ perceptions (for men and women separately). This study analyzes a simple, low-cost, and easy-to-implement home-based sensor network optimized with an adaptive energy optimization algorithm to improve the lives of older adults, which is capable of sending alerts of possible accidents or intruders with the highest efficiency.</jats:p>Scopus© Citations 4 1 13 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Detection of depressive comments on social media using RNN, LSTM, and random forest: comparison and optimization(2024)Scopus© Citations 4 1 14 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, 2 21Scopus© Citations 8