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Arshdeep Bahga is a research scientist at Georgia Institute of Technology. His research interests include cloud computing and big data analytics. He has authored several scientific publications in peer-reviewed journals in the areas of cloud computing and big data. Vijay Madisetti is a professor of computer engineering at Georgia Institute of Technology. He is a Fellow of IEEE and has received the 2006 Terman Medal from the American Society of Engineering Education and HP Corporation.
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Internet of Things: A Hands- on Approach
Editore:
Universities Press, 2015
ISBN 10: 8173719543
ISBN 13: 9788173719547
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Internet of Things: A Hands- on Approach
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Universities Press, 2015
ISBN 10: 8173719543
ISBN 13: 9788173719547
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internet of Things
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Universities Press (India) Pvt. Ltd., 2015
ISBN 10: 8173719543
ISBN 13: 9788173719547
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Condizione: New. pp. 520. Codice articolo 26375140923
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internet of Things
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Universities Press (India) Pvt. Ltd., 2015
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ISBN 13: 9788173719547
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Condizione: New. pp. 520. Codice articolo 371953124
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INTERNET OF THINGS: A HANDS-ON APPROACH
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Condizione: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide. Codice articolo ABNR-12561
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Internet Of Things A Hands On Approach
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N.A. Condizione: New. ISBN:9788173719547 N.A. Codice articolo 2367346
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internet of Things
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Universities Press (India) Pvt. Ltd., 2015
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ISBN 13: 9788173719547
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Da: Biblios, Frankfurt am main, HESSE, Germania
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INTERNET OF THINGS: A HANDS-ON APPROACH
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Internet of Things: A Hands-on Approach
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Universities Press, 2015
ISBN 10: 8173719543
ISBN 13: 9788173719547
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Da: Vedams eBooks (P) Ltd, New Delhi, India
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Soft cover. Condizione: New. Condizione sovraccoperta: New. 1st Edition. Contents: I. Introduction and Concepts: 1 Introduction to internet of things. 2. Domain specific IoTs. 3. IoT and M2M. 4. IoT system management with NETCONF-YANG. II. Developing Internet of Things: 5. IoT Platforms design methodology. 6. IoT Systems - logical design using Python. 7. IoT Physical devices and endpoints. 8. IoT Physical servers and cloud offerings. 9. Case studies illustrating IoT design. III. Advanced Topics: 10. Data analytics for IoT. 11. Tools for IoT. Appendices. Bibliography. Index. This book is written as a textbook for educational programs at colleges and universities. It can also be used by IoT (Internet of Things) vendors and service providers for training their program developers. The authors have used an immersive hands on approach, similar to the one adopted in the companion book, Cloud Computing: A Hands-on Approach, to help readers gain expertise in developing working code for real-world IoT applications. It is organised into three main parts. Part I covers the building blocks of Internet of Things (IoT) and their characteristics. Domain specific IoT and their real-world applications are described along with a generic design methodology and an IoT system management approach using NETCONF-YANG. Part II introduces the reader to the programming aspects of IoT with a view to developing rapid prototypes of complex IoT applications. A primer on Python, the programming language used in this book, is included to bring readers to a common level of expertise. Packages, frameworks and cloud services including WAMP-AutoBahn, Xively cloud and Amazon Web Services that can be used to develop IoT systems are described. The Raspberry Pi device has been chosen for the examples in this book. Case studies with complete source code for various IoT domains such as home automation, smart environment, smart cities, logistics, retail, smart energy, smart agriculture, industrial control and smart health are described. Part III introduces the reader to advanced topics in IoT, including IoT data analytics and tools for IoT. Case studies on collecting and analyzing data generated by IoT in the cloud are described. Codice articolo 115293
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