A Beginner's Guide to Data Agglomeration and Intelligent Sensing - Mukherjee, Amartya;Kumar Panja, Ayan;Dey, Nilanjan
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A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are…mehr

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Produktbeschreibung
A Beginners Guide to Data Agglomeration and Intelligent Sensing provides an overview of the Sensor Cloud Platform, Converge-casting, and Data Aggregation in support of intelligent sensing and relaying of information. The book begins with a brief introduction on sensors and transducers, giving readers insight into the various types of sensors and how one can work with them. In addition, it gives several real-life examples to help readers properly understand concepts. An overview of concepts such as wireless sensor networks, cloud platforms, and device-to-cloud and sensor cloud architecture are explained briefly, as is data gathering in wireless sensor networks and aggregation procedures.

Final sections explore how to process gathered data and relay the data in an intelligent way, including concepts such as supervised and unsupervised learning, software defined networks, sensor data mining and smart systems.
Autorenporträt
Amartya Mukherjee received his M.Tech from NIT Durgapur and is presently pursuing a PhD from Maulana Abul Kalam Azad University of Technology, Kalyani. He is currently the head of the Department of Computer Science & Engineering (AIML). He has over 14 years of teaching experience in the field of Computer Science. He has written numerous books and research articles in the field of IoT, embedded application development, wireless communication, and smart systems for various renowned publishing companies, like IEEE, Elsevier, Springer, Taylor & Francis, and World Scientific Press. His Embedded Systems & Robotics with Opensource Tools is one of the bestselling books in embedded application development. His research interests include flying ad-hoc networks, IoT, IoDT, intelligent systems, 5G and 6G communication, and machine learning.

Ayan Kumar Panja is currently Assistant Professor at the Institute of Engineering and Management, Kolkata, India. His main research is Machine Learning, Pattern Recognition, Audio Signal Processing, Wireless Communication and Sensor Networks.
Rezensionen
"The book offers provides a concise treatment of the topic starting out with an overview of the various types of sensors and transducers and how they are used. I always find it easier to learn-by-example, and this book is nice because the authors provide a variety of good examples. Reading this book will provide you with descriptions and explanations of pertinent concepts like wireless sensor networks, cloud platforms, device-to-cloud and sensor cloud architecture but more importantly, it also describes how to gather and aggregate data from wireless sensor networks. If you or your organization are involved gathering data from sensors, such as in IoT systems, this book will be a great help to you as you design and implement your applications." --Data and Technology Today