Fr. 116.00

Embedded System Design - Methodologies and Issues

English · Paperback / Softback

Shipping usually within 1 to 3 weeks (not available at short notice)

Description

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Embedded Systems Design: Methodologies and Issues presents methodologies for designing these systems and discusses major issues, both present and future, that designers must consider in bringing products with embedded processing to market. The book starts from the first step after product proposal (behavioral modeling) and goes through the steps for modeling internal operations. Specific areas of focus include methods for designing safe, reliable, and robust embedded systems. Sections cover selection of processors and related hardware as well as issues involved in designing related software. Finally, the book present issues that will occur in systems designed for the Internet of Things. This book is for junior/senior/MS students in computer science, computer engineering, and electrical engineering who intend to take jobs in industry designing and implementing embedded systems and Internet of Things applications.

List of contents










1. Introduction to Internet of Things (IoT) and Embedded Systems

Part 1: Modelling
2. First Stage Modelling - Modelling Interaction between the System and the Environment
3. Finite State Machines
4. Modelling Physically Distributed Embedded Systems
5. Petri Nets for Modelling Concurrency and Shared Resources

Part 2: Building Robust, Safe, and Correct Systems
6. Designing Systems that are Safe and Robust
7. Verification, Validation, and Evaluation
8. Testing

Part 3: Hardware
9. Introduction and Overview
10. Processing Elements
11. Memories
12. Field Programmable Gate Arrays
13. Devices, Sensors, and Actuators
14. Energy
15. Hardware-Software Mapping

Part 4: Software
16. Operating Systems
17. Scheduling
18. Semaphores
19. Optimization and Other Special Considerations

Part 5: Communications
20. Introduction to Communications and Messages
21. Networks
22. The Internet
23. Low-level Communication Protocols
24. Cloud vs. Edge vs. Local Computing

Part 6: The Internet of Things
25. Reference Models for the Internet of Things
26. IoT Issues

About the author










Lawrence J. Henschen is Professor Emeritus of Electrical and Computer Engineering at Northwestern University. Dr. Henschen received the B.A., M.A., and Ph.D. degrees in Mathematics from the University of Illinois at Urbana-Champaign in 1966, 1968, and 1971 respectively. In 1971 he joined the faculty of Northwestern University as Assistant Professor and was promoted to Associate and then to Full Professor in the Electrical Engineering and Computer Science Department. He served as Associate Dean of Students in The Graduate School from 2000 to 2009. Dr. Henschen's research spans topics from artificial intelligence to real-time embedded systems. He has graduated 71 PhD students. Eighteen of these have taken positions as professors. Four have risen to become department chairs, deans, or associate provosts. Three have started their own companies. Dr. Henschen has authored or co-authored over 130 scientific articles. He has taught courses at levels ranging from freshman to advanced graduate in topics including programming, artificial intelligence, intelligent databases, embedded systems, and the Internet of Things.

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