Model Based Engineering for Complex Electronic Systems

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  • Publisher : Newnes
  • Release : 13 March 2013
  • ISBN : 9780123850867
  • Page : 536 pages
  • Rating : 4.5/5 from 103 voters

Model Based Engineering for Complex Electronic Systems Book PDF summary

In the electronics industry today consumer demand for devices with hyper-connectivity and mobility has resulted in the development of a complete system on a chip (SoC). Using the old ‘rule of thumb’ design methods of the past is no longer feasible for these new complex electronic systems. To develop highly successful systems that meet the requirements and quality expectations of customers, engineers now need to use a rigorous, model-based approach in their designs. This book provides the definitive guide to the techniques, methods and technologies for electronic systems engineers, embedded systems engineers, and hardware and software engineers to carry out model- based electronic system design, as well as for students of IC systems design. Based on the authors’ considerable industrial experience, the book shows how to implement the methods in the context of integrated circuit design flows. Complete guide to methods, techniques and technologies of model-based engineering design for developing robust electronic systems Written by world experts in model-based design who have considerable industrial experience Shows how to adopt the methods using numerous industrial examples in the context of integrated circuit design

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Model-Based Engineering for Complex Electronic Systems

Model-Based Engineering for Complex Electronic Systems
  • Author : Peter Wilson,H. Alan Mantooth
  • Publisher : Newnes
  • Release Date : 2013-03-13
  • ISBN : 9780123850867
DOWNLOAD BOOKModel-Based Engineering for Complex Electronic Systems

In the electronics industry today consumer demand for devices with hyper-connectivity and mobility has resulted in the development of a complete system on a chip (SoC). Using the old ‘rule of thumb’ design methods of the past is no longer feasible for these new complex electronic systems. To develop highly successful systems that meet the requirements and quality expectations of customers, engineers now need to use a rigorous, model-based approach in their designs. This book provides the definitive guide to

Maestro - A Model-based Systems Engineering Environment for Complex Electronic Systems

Maestro - A Model-based Systems Engineering Environment for Complex Electronic Systems
  • Author : Anonim
  • Publisher : Unknown
  • Release Date : 2012
  • ISBN : OCLC:958269970
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Innovative Smart Healthcare and Bio-Medical Systems

Innovative Smart Healthcare and Bio-Medical Systems
  • Author : Abdel-Badeeh Salem
  • Publisher : CRC Press
  • Release Date : 2020-12-27
  • ISBN : 9781000327106
DOWNLOAD BOOKInnovative Smart Healthcare and Bio-Medical Systems

Advances in smart healthcare systems (SHS) and artificial intelligence (AI) domains highlight the need for ICT systems that aim not only to improve human quality of life but improve safety too. SHS bring together concepts and methodologies from various fields, such as communications and network systems, computer science, life sciences and healthcare. The well-known smart healthcare paradigms are; real-time monitoring devices, computer-aided surgery devices, telemedicine devices, population-based care devices, personalized medicine from a machine learning perspective, ubiquities intelligent computing, expert

Model Engineering for Simulation

Model Engineering for Simulation
  • Author : Lin Zhang,Bernard P. Zeigler,Yuanjun LaiLi
  • Publisher : Academic Press
  • Release Date : 2019-02-27
  • ISBN : 9780128135440
DOWNLOAD BOOKModel Engineering for Simulation

Model Engineering for Simulation provides a systematic introduction to the implementation of generic, normalized and quantifiable modeling and simulation using DEVS formalism. It describes key technologies relating to model lifecycle management, including model description languages, complexity analysis, model management, service-oriented model composition, quantitative measurement of model credibility, and model validation and verification. The book clearly demonstrates how to construct computationally efficient, object-oriented simulations of DEVS models on parallel and distributed environments. Guides systems and control engineers in the practical creation

Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities

Artificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities
  • Author : Gerardo Beruvides
  • Publisher : Springer
  • Release Date : 2018-12-14
  • ISBN : 9783030039493
DOWNLOAD BOOKArtificial Cognitive Architecture with Self-Learning and Self-Optimization Capabilities

This book introduces three key issues: (i) development of a gradient-free method to enable multi-objective self-optimization; (ii) development of a reinforcement learning strategy to carry out self-learning and finally, (iii) experimental evaluation and validation in two micromachining processes (i.e., micro-milling and micro-drilling). The computational architecture (modular, network and reconfigurable for real-time monitoring and control) takes into account the analysis of different types of sensors, processing strategies and methodologies for extracting behavior patterns from representative process’ signals. The reconfiguration capability

Metaheuristic and Evolutionary Computation: Algorithms and Applications

Metaheuristic and Evolutionary Computation: Algorithms and Applications
  • Author : Hasmat Malik,Atif Iqbal,Puneet Joshi,Sanjay Agrawal,Farhad Ilahi Bakhsh
  • Publisher : Springer Nature
  • Release Date : 2020-10-08
  • ISBN : 9789811575716
DOWNLOAD BOOKMetaheuristic and Evolutionary Computation: Algorithms and Applications

This book addresses the principles and applications of metaheuristic approaches in engineering and related fields. The first part covers metaheuristics tools and techniques such as ant colony optimization and Tabu search, and their applications to several classes of optimization problems. In turn, the book’s second part focuses on a wide variety of metaheuristics applications in engineering and/or the applied sciences, e.g. in smart grids and renewable energy. In addition, the simulation codes for the problems discussed are

Precision Metal Additive Manufacturing

Precision Metal Additive Manufacturing
  • Author : Richard Leach,Simone Carmignato
  • Publisher : CRC Press
  • Release Date : 2020-09-21
  • ISBN : 9780429791277
DOWNLOAD BOOKPrecision Metal Additive Manufacturing

Additive manufacturing (AM) is a fast-growing sector with the ability to evoke a revolution in manufacturing due to its almost unlimited design freedom and its capability to produce personalised parts locally and with efficient material use. AM companies, however, still face technological challenges such as limited precision due to shrinkage, built-in stresses and limited process stability and robustness. Moreover, often post-processing is needed due to high roughness and remaining porosity. Qualified, trained personnel are also in short supply. In recent

Handbook of Intelligent Computing and Optimization for Sustainable Development

Handbook of Intelligent Computing and Optimization for Sustainable Development
  • Author : Mukhdeep Singh Manshahia,Valeriy Kharchenko,Elias Munapo,J. Joshua Thomas,Pandian Vasant
  • Publisher : John Wiley & Sons
  • Release Date : 2022-02-11
  • ISBN : 9781119792628
DOWNLOAD BOOKHandbook of Intelligent Computing and Optimization for Sustainable Development

HANDBOOK OF INTELLIGENT COMPUTING AND OPTIMIZATION FOR SUSTAINABLE DEVELOPMENT This book provides a comprehensive overview of the latest breakthroughs and recent progress in sustainable intelligent computing technologies, applications, and optimization techniques across various industries. Optimization has received enormous attention along with the rapidly increasing use of communication technology and the development of user-friendly software and artificial intelligence. In almost all human activities, there is a desire to deliver the highest possible results with the least amount of effort. Moreover, optimization