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.…mehr
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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