Smart Embedded Systems - Sinha, Arun; Sharma, Abhishek; Pasini Melek, Luiz Alberto; Caviglia, Daniele; (szerk.) - Prospero Internetes Könyváruház

Smart Embedded Systems: Advances and Applications
 
A termék adatai:

ISBN13:9781032404172
ISBN10:1032404175
Kötéstípus:Keménykötés
Terjedelem:298 oldal
Méret:234x156 mm
Súly:544 g
Nyelv:angol
Illusztrációk: 55 Illustrations, black & white; 97 Illustrations, color; 17 Halftones, black & white; 135 Line drawings, black & white; 44 Tables, black & white
700
Témakör:

Smart Embedded Systems

Advances and Applications
 
Kiadás sorszáma: 1
Kiadó: CRC Press
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Kiadói listaár:
GBP 125.00
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65 625 Ft (62 500 Ft + 5% áfa)
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52 500 (50 000 Ft + 5% áfa )
Kedvezmény(ek): 20% (kb. 13 125 Ft)
A kedvezmény érvényes eddig: 2024. december 31.
A kedvezmény csak az 'Értesítés a kedvenc témákról' hírlevelünk címzettjeinek rendeléseire érvényes.
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  példányt

 
Rövid leírás:

"Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology.

Hosszú leírás:

"Smart Embedded Systems: Advances and Applications" is a comprehensive guide that demystifies the complex world of embedded technology. The book journeys through a wide range of topics from healthcare to energy management, autonomous robotics, and wireless communication, showcasing the transformative potential of intelligent embedded systems in these fields. This concise volume introduces readers to innovative techniques and their practical applications, offers a comparative analysis of wireless protocols, and provides efficient resource allocation strategies in IoT-based ecosystems. With real-world examples and in-depth case studies, it serves as an invaluable resource for students and professionals seeking to harness the power of embedded technology to shape our digital future.


Salient Features:



  1. The book provides a comprehensive coverage of various aspects of smart embedded systems, exploring their design, implementation, optimization, and a range of applications. This is further enhanced by in-depth discussions on hardware and software optimizations aimed at improving overall system performance.

  2. A detailed examination of machine learning techniques specifically tailored for data analysis and prediction within embedded systems. This complements the exploration of cutting-edge research on the use of AI to enhance wireless communications.

  3. Real-world applications of these technologies are extensively discussed, with a focus on areas such as seizure detection, noise reduction, health monitoring, diabetic care, autonomous vehicles, and communication systems. This includes a deep-dive into different wireless protocols utilized for data transfer in IoT systems.

  4. This book highlights key IoT technologies and their myriad applications, extending from environmental data collection to health monitoring. This is underscored by case studies on the integration of AI and IoT in healthcare, spanning topics from anomaly detection to informed clinical decision-making. Also featured is a detailed evaluation and comparison of different system implementations and methodologies

This book is an essential read for anyone interested in the field of embedded systems. Whether you're a student looking to broaden your knowledge base, researchers looking in-depth insights, or professionals planning to use this cutting-edge technology in real-world applications, this book offers a thorough grounding in the subject.

Tartalomjegyzék:

Chapter 1


A reconfigurable FPGA based epileptic seizures detection system with 144 ?s detection time


Swetha Annangi and Arun Kumar Sinha


 


Chapter 2


Hardware architecture for denoising of EOG signal using differential evolution algorithm        V. H. Prasad Reddy, Gundugonti Kishore Kumar and Puli Kishore Kumar


 


Chapter 3


Implementation considerations for an intelligent embedded e-Health system and experimental results for EEG-based activity recognition     


Stefan Oniga, Iuliu Alexandru Pap and Tamas Majoros


 


Chapter 4


Embedded and computational intelligence for diabetic healthcare: An overview  


Anupama Namburu Aravapalli Rama Satish Bhanu Teja Veeramachaneni, Sneha Edupuganti


Kothamasu Venkata Naga Durga Sai Harshith


 


Chapter 5


A semi-definite programming based design of a robust depth control for a submersible autonomous robot through state feedback control    


Vadapalli Siddhartha and Subhasish Mahapatra


 


Chapter 6


Embedded system with in-memory compute neuromorphic accelerator for multiple applications   


Afroz Fatima and Abhijit Pethe


 


Chapter 7


Artificial intelligence driven radio channel capacity in 5G, 6G wireless communication system in the presence of vegetation: Prospect and challenges      


Sachin Kumar, T. Senthil Siva Subramanian and Kapil Sharma


 


Chapter 8


Smart cabin for office using embedded systems and sensors          


Anirban Dasgupta, Abhranil Das, parishmita Deka and Soham Das


 


Chapter 9


Wireless protocols for swarm of sensors: Sigfox, Lorawan, and Nb-IoT      


Luiz Alberto Pasini Melek


 


Chapter 10


Design and test of thermal energy harvester for self-powered autonomous electronic load


Arun Kumar Sinha


 


 


Chapter 11


Managing concept drift in IoT health data streams: A dynamic adaptive weighted ensemble approach  


M. Geetha Pratyusha and Arun Kumar Sinha


 


Chapter 12


GraLSTM: A distributed learning model for efficient IoT resource allocation in healthcare      M. Geetha Pratyusha and Arun Kumar Sinha