Smart Homes - Mukhopadhyay, Subhas Chandra

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Résumé :
The book addresses issues towards the design and development of Wireless Sensor Network based Smart Home and fusion of Real-Time Data for Wellness Determination of an elderly person living alone in a Smart Home. The fundamentals of selection of sensor, fusion of sensor data, system design, modelling, characterizations, experimental investigations and analyses have been covered. This book will be extremely useful for the engineers and researchers especially higher undergraduate, postgraduate students as well as practitioners working on the development of Wireless Sensor Networks, Internet of Things and Data Mining.

Biographie:
Dr. Siba K Udgata is currently a Professor of Computer and Information Sciences at the University of Hyderabad, India, where he directs a research group focusing on sensor networks, IoT, wireless communications, and intelligent algorithms. He worked as a Research Fellow at the United Nations University/International Institute of Software Technology (UNU/IIST), Macau. He has published more than 100 research papers in peer-reviewed journals and at international conferences. He has edited ten international conference proceedings for Springer LNAI, AISC and SIST. He is a recipient of the IBM SUR (Shared University Research) award for the project Mobile Sensor network based rescue management system. He has successfully completed seven Government of India sponsored research projects in the domain of sensor network, IoT, and cognitive radio network. Dr. Nagender Kumar Suryadevara received his Ph.D. degree from the School of Engineering and Advanced Technology,Massey University, New Zealand, in 2014. He has authored/co-authored two books and over 45 papers in various international journals, conferences, and book chapters. His research interests include wireless sensor networks, the Internet of things, and time-series data mining. ...

Sommaire:
Introduction.- Smart Home related Research.- Design and Deployment of WSN in a Home Environment and Real-Time Data Fusion.- ADLs Recognition of an Elderly person and Wellness Determination.- Forecasting the Behaviour of an Elderly Person Using WSN Data.- Sensor Activity Pattern (SAP) Matching Process and Outlier Detection.- Conclusion and Future Works.