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- Author: Amartya Mukherjee
- Publisher: Academic Press
- ISBN-10: 0128203412
- ISBN-13: 9780128203415
- Format: 15.2 x 22.9 x 1.1 cm, minkšti viršeliai
- Language: English
- SAVE -10% with code: EXTRA
A Beginner's Guide to Data Agglomeration and Intelligent Sensing (e-book) (used book) | bookbook.eu
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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 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.
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- Author: Amartya Mukherjee
- Publisher: Academic Press
- ISBN-10: 0128203412
- ISBN-13: 9780128203415
- Format: 15.2 x 22.9 x 1.1 cm, minkšti viršeliai
- Language: English English
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.
Reviews