Proceedings of the 4th International Conference on Sensing, Measurement, Communication and Internet of Things Technologies
Description
The proceedings compile rigorously peer-reviewed papers presented at the 4th International Conference on Sensing, Measurement, Communication and Internet of Things Technologies (SMC-IoT 2025), held from November 28-30, 2025. Showcasing cutting-edge advancements across interdisciplinary domains, the proceedings feature original research, innovative applications, and technical breakthroughs in emerging sensing technologies, precision measurement methodologies, next-generation communication architectures, and IoT systems integration. This volume, specifically designed for researchers and engineers, serves as a catalyst for knowledge sharing, collaborative problem-solving, and cross-sector innovation. In addition to supporting curriculum development in IoT-related disciplines, it provides industry professionals with actionable strategies to navigate technological transformation in an era of ubiquitous connectivity.
Reviews / Votes
"Agent Nation captures the most significant technological transformation of our generation with extraordinary clarity. Its real strength is the balanced, practical perspective it provides on the hard work ahead to ensure we build this agentic future the right way.
This is the defining transformation of our generation. Shah provides a rare and balanced roadmap, offering the practical clarity we need to navigate the challenges of autonomous AI and steer it toward the right outcomes.
A clear-eyed look at the biggest transformation of our generation. Agent Nation is special because it moves beyond the hype to provide a balanced, practical framework for the work required to get AI governance right." (Dr. Ece Kamar, CVP and Managing Director, AI Frontiers, Microsoft Research)
"Agent Nation is a sharp, timely, and deeply original reframing of our relationship with AI that moves beyond familiar narratives to confront the reality of systems that increasingly act on our behalf. Chirag Shah brings clarity and pragmatism to one of the most urgent questions of our time, offering not just critique but a compelling vision for how we reclaim agency in an algorithmic world. This is an essential and forward-looking read for anyone shaping the next era of intelligent systems." (Dr. Tanya Roosta, Director of AI, AMD)
"Agent Nation argues that as AI agents shift from automation to independent judgment, our outdated legal systems have created a dangerous accountability gap. Shah calls for a shift toward democratic governance, proposing new regulatory frameworks built on transparency, public auditing, and community oversight to ensure these systems serve human interests. Shah's perspective and breadth of experience provide a holistic perspective that goes well beyond the usual. A must read!" (Jai Jaisimha, Founder Transparency Coalition)
"Agent Nation is a timely tome on a critical topic today, namely the human-machine collaboration configurations and why the dynamics of human-machine collaborations demand our immediate attention. The book deserves to be read by those interested in rigorous and unsentimental understanding of the imminent impacts of AI on key social institutions and developing solutions to address potential challenges." (Dr. Javed Mostafa, Dean, Faculty of Information, University of Toronto)
More details
Persons
Zhenyu Zhao received the B.Eng. degree in electrical engineering from Huazhong University of Science and Technology, China, in 2015, and the Ph.D. degree in electrical engineering from Nanyang Technological University, Singapore, in 2021. He is currently a Lecturer with the ECE Department at the National University of Singapore. He is also a PI for several research projects funded by government and industry. His research interests include electromagnetic compatibility (EMC) and security, condition monitoring in transportation systems, advanced measurement techniques for electrical parameters, electromagnetic-based sensing and monitoring, AI applications in these fields, etc. He has published one book and over 100 peer-reviewed papers.
Peiquan Jin is an associate professor in the School of Computer Science and Technology at the University of Science and Technology of China (USTC). He received his Ph.D. degree in computer science from the University of Science and Technology of China (USTC) in 2003. After that, he spent two years for his post-doc research in the Department of Electronic Engineering & Information Science at USTC. He was a visiting scientist in 2009 at the University of Kaiserslautern, Germany, hosted by Prof. Theo Härder. In 2014, he was a visiting professor at Aalborg University, Denmark, working with Prof. Christian S. Jensen.
Mingchuan Zhang was born in Henan Province, PRC in May 1977. Mingchuan Zhang studied in Beijing University of Posts and Telecommunications (Beijing, PRC) from September 2011 to July 2014, majored in Communication and information system and earned a Doctor of Engineering Degree in three years' time. He works as a Professor in the School of Information Engineering, Henan University of Science and Technology. His research interests include bio-inspired networks, machine learning, future Internet and optimization. He is a Member of IEEE.
Content
1. CLEANtech: Design of an Autonomous Indoor Floor Cleaning Robot.- 2. Research on Frequency Domain Electromagnetic Inversion Method Based on Damping Least Squares.- 3. An Analysis and Regulating Method for Peak Shaving Control System of Wind Turbines.- 4. SAR Image Change Detection Based on Weighted Center-Constrained Fuzzy C-Means Clustering.- 5. Research on Low-frequency Compensation of Amplitude-frequency Characteristics of Vibration Sensors.