A5016287737- IoT and Edge/Fog Computing
- Context-Aware Activity Recognition Systems
- Wireless Body Area Networks
- Video Coding and Compression Technologies
- Power Systems Fault Detection
- Energy Harvesting in Wireless Networks
- Advanced Steganography and Watermarking Techniques
- Mobile Health and mHealth Applications
- Energy Efficient Wireless Sensor Networks
- Network Security and Intrusion Detection
- Digital Transformation in Industry
- Delphi Technique in Research
- Optimal Power Flow Distribution
- IoT-based Smart Home Systems
- Digital Media Forensic Detection
- Internet of Things and AI
- Telemedicine and Telehealth Implementation
- Power Systems and Technologies
- Advanced Manufacturing and Logistics Optimization
- Occupational Health and Safety in Workplaces
Telnet Redes Inteligentes (Spain)
2024
Tecnológico de Monterrey
2015-2023
IoT platforms for the transportation industry are portable with limited battery life and need real-time long-term monitoring operations. Since MQTT HTTP widely used as main communication protocols in IoT, it is imperative to analyze their power consumption provide quantitative results that help maximize systems. Although well known consumes less than HTTP, a comparative analysis of long-time tests different conditions has not yet been conducted. In this sense, design validation an electronic...
The growing demand for electricity and the increased adoption of renewable energy supply is increasing converter-based resources integration into power networks. Power converters can be utilized to provide different ancillary services such as frequency voltage support, well improving networks flexibility reliability. converter in medium (MV) distribution receiving an attention leverage these advantages. In this paper, innovative back-to-back Flexible Link (FPL) considered analyzed assess...
Introduction: Cyber-Physical Systems (CPS) require change in cybersecurity due to cyber threats and the advent of quantum computing. Despite interest, main obstacles for adoption are dynamic protection. Research seeks characterize Cybersecurity Reference Model CPS Critical Infrastructures, considering limitations. Objective: To reference model prevent attacks critical infrastructures face Primary studies analyzed identify development CPS. Methodology: Process includes research objectives,...
The recognition of clinical manifestations in both video images and physiological-signal waveforms is an important aid to improve the safety effectiveness medical care. Physicians can rely on video-waveform (VW) observations recognize difficult-to-spot signs symptoms. VW also reduce number false positive incidents expand coverage abnormal health conditions. synchronization between fundamental for successful manifestations. use conventional equipment synchronously acquire display information...