This book serves as a comprehensive compilation of groundbreaking research endeavors within the realms of ambient intelligence and ubiquitous computing. These initiatives are pivotal in enabling both researchers and practitioners to discern recent breakthroughs and emerging frontiers in these fields. Encompassing a wide array of domains, including Ambient Active and Assisted Living (A3L), the Internet of Things (Io T), Smart Environments, Data Science, and Human-Ambient Interaction, acts as a valuable resource for scholars, professionals, and graduate students alike.
The primary aim of this book is to empower individuals within the academic and professional community to harness this wealth of knowledge. It equips them to tackle innovative challenges and engineer smart and ubiquitous solutions that will shape the landscape of the next decade. By amalgamating insights from various facets of ambient intelligence and ubiquitous computing, this book encourages cross-disciplinary collaboration and fosters a holistic understanding of the field. Thus, it not only highlights the recent strides in these areas but also serves as a roadmap for future exploration and innovation, paving the way for a smarter and more interconnected world.
İçerik tablosu
Distributed Crowdsensing Based on Mobile Personal Data Stores.- Free DSM: An open Io T platform for ambient light pollution monitoring.- NITRO: a gadget to transform standard rollators into smart rollators for monitoring user conditions.- Dynamic Service Level Agreements and particle swarm optimization methods for an efficient resource management in 6G mobile networks.- Exploring Fatigue in the Workplace: A Data-Driven Approach Using Physiological Signals Captured by a Wristband.- Federated Learning for Industry 5.0: A State-of-the-Art Review.- Modelling Discriminators for Energy Generation of Photovoltaic Systems by Adversarial Networks.- Shedding Light on the Energy Usage of Activity Recognition Systems in Homes.- User Io T Interface Design for Smart Homes: An Information Architecture Approach.- Evaluation of the Jetson Nano on the analysis of risk patterns in multimodal traffic intersections.- Extending Lo Ra WAN with Real-Time Scheduling.Certif Io T: An Io T and DLT-Based Solution for Enhancing Trust and Transparency in Data Certification
Yazar hakkında
Dr. José Bravo is Full Professor in Computer Science in the Department of Technologies and Information Systems at Castilla-La Mancha University, Spain, and Head of the Modelling Ambient Intelligence Research Group (MAm I, mami-lab.eu). He is involved in several research areas such as Ubiquitous Computing, Ambient Intelligence, Ambient-Assisted Living, Context Awareness, Internet of Things, Mobile Computing, and m-Health. He is Author of over 37 JCR articles and Main Researcher on several projects. His has H-index (Scopus) as 22 and H-index (Google Scholar) as 30. Dr. Bravo supervised 7 Ph.D. and over 45 Computer Science undergraduate theses. Since 2003, José Bravo is Organizer of the International Conference on Ubiquitous Computing & Ambient Intelligence (UCAm I).
Dr. Gabriel Urzaiz received his B.S. in Computer Engineering at the National Autonomous University of Mexico and his Ph.D. in Advanced Computer Technologies at the Castilla-La Mancha University. His research activity is focused on computer networks, mainly for the integration of heterogeneous networks and their application in Ambient Intelligence and Ubiquitous Computing. He is Author of several conference and journal papers, and he has also participated as Reviewer and Guest Editor. He has been Director of the Computer Science School of the Anahuac Mayab University in Mexico, Research Professor, and Postgraduate Academic Coordinator. His current position is Full-Time Professor in the Engineering and Exact Sciences Division, primarily focused on teaching and student mentoring.
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