Lawrence J. Henschen, Julia C. Lee

eBook, ePUB

Embedded System Design (eBook, ePUB)

Methodologies and Issues

Beschreibung

Embedded systems and the Internet of Things are current major efforts in industry and will continue to be mainstream commercial activities for the foreseeable future. Embedded Systems Design presents methodologies for designing such systems and discusses major issues, both present and future, that designers must consider in bringing products with embedded processing to the market. It starts from the first step after product proposal (behavioral modelling) and carries through steps for modelling internal operations. The book discusses methods for and issues in designing safe, reliable, and robust embedded systems. It covers the selection of processors and related hardware as well as issues involved in designing the 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. - Focuses on the design of embedded systems, starting from product conception through high-level modeling and up to the selection of hardware, software, and network platforms - Discusses the trade-offs of the various techniques presented so that engineers will be able to make the best choices for designs for future products - Contains a section with three chapters on making designs that are reliable, robust, and safe - Includes a discussion of the two main models for the structure of the Internet of Things, as well as the issues engineers will need to take into consideration in designing future IoT applications - Uses the design of a bridge control system as a continuing example across most of the chapters in order to illustrate the differences and trade-offs of the various techniques

Technische Details

• Geräte: eReader
• ohne Kopierschutz
• Größe: 36.47MB

Barrierefreiheit

• Text-to-Speech
• E-Mail des Verlags für Barrierefreiheitsfragen: [e-mail]
• E-Mail eines vertrauenswürdigen Mittlers für Barrierefreiheitsfragen: [e-mail]
• Seitennummerierung folgt dem gedruckten Werk
• Mathematische Inhalte in MathML für assistive Technologien
• Text und Medien in logischer Lesereihenfolge angeordnet
• Navigierbarer Index mit direktem Zugriff auf Indexbegriffe
• Navigierbares Inhaltsverzeichnis für direkten Zugriff auf Text und Medien
• Keine Einschränkung der Vorlesefunktionen, außer bei spezifischen Ausnahmen

Autor

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.Julia C. Lee received MS and PhD degrees in Computer Science in 1982 and 1992, respectively, from Northwestern University. Dr. Lee worked in the Computer Division of AT&T from 1982 to 1987. She worked for Computer Science Corporation (CSC) as a Senior Member of the Technical Staff (SMTS) from 1987 to 1990. She worked for the Decision and Information Science Division of Argonne National Laboratory as assistant computer scientist from 1991 to 1997. During this time, she did research in areas of AI, Deductive Database, and Text processing algorithms/tools. From 1997 to 2002, she worked as MTS for Lucent technology. From 2003 to 2009, she worked for the School of Continuing Studies at Northwestern University as instructor, teaching 8 different computer science courses for adult students. From 2009 to 2012, she worked as IT consultant for the Graduate School of Northwestern University. From 2012 to 2017, she worked for the McCormick School of Engineering and Applied Science as Senior Web Application/Software Developer; during this time, she also co-taught the "Embedded System class in the Department of Electrical and Computer Engineering. After retiring from Northwestern University IT, she is continuing free-lance research related to IoT and embedded systems and publishing papers in conferences.

Produktdetails

• Verlag: Elsevier Science & Techn.
• Seitenzahl: 500
• Erscheinungstermin: 14. September 2023
• Englisch
• ISBN-13: 9780443184710
• Artikelnr.: 68971247