Smart Systems Integration And Simulation

This book-presents new methods and tools for the integration and simulation of smart devices. The design approach described in this book explicitly accounts for integration of Smart Systems components and subsystems as a specific constraint. It includes methodologies and EDA tools to enable multi-disciplinary and multi-scale modeling and design, simulation of multi-domain systems, subsystems and components at all levels of abstraction, system integration and exploration for optimization of functional and non-functional metrics. By covering theoretical and practical aspects of smart device design, this book targets people who are working and studying on hardware/software modelling, component integration and simulation under different positions (system integrators, designers, developers, researchers, teachers, students etc.). In particular, it is a good introduction to people who have interest in managing heterogeneous components in an efficient and effective way on different domains and different abstraction levels. People active in smart device development can understand both the current status of practice and future research directions. · Provides a comprehensive overview of smart systems design, focusing on design challenges and cutting-edge solutions; · Enables development of a co-simulation and co-design environment that accounts for the peculiarities of the basic subsystems and components to be integrated; · Describes development of modeling and design techniques, methods and tools that enable multi-domain simulation and optimization at various levels of abstraction and across different technological domains.

This book constitutes the refereed proceedings of the 8th IFIP WG 5.5/SOCOLNET Advanced Doctoral Conference on Computing, Electrical and Industrial Systems, DoCEIS 2017, held in Costa de Caparica, Portugal, in May 2017. The 46 revised full papers were carefully reviewed and selected from 95 submissions. The papers present selected results produced in engineering doctoral programs and focus on technological innovation for smart systems. Research results and ongoing work are presented, illustrated and discussed in the following areas: collaborative networks, computational intelligence, systems analysis, smart manufacturing systems, smart sensorial systems, embedded and real time systems, energy: management, energy: optimization, distributed infrastructure, solar energy, electrical machines, power electronics, and electronics.

Industry 4.0 refers to fourth generation of industrial activity characterized by smart systems and internet-based solutions. This book describes the fourth revolution based on instrumented, interconnected and intelligent assets. The different book chapters provide a perspective on technologies and methodologies developed and deployed leading to this concept. With an aim to increase performance, productivity and flexibility, major application area of maintenance through smart system has been discussed in detail. Applicability of 4.0 in transportation, energy and infrastructure is explored, with effects on technology, organisation and operations from a systems perspective.

Combining different perspectives from materials science, engineering, and computer science, this reference provides a unified view of the various aspects necessary for the successful realization of intelligent systems. The editors and authors are from academia and research institutions with close ties to industry, and are thus able to offer first-hand information here. They adopt a unique, three-tiered approach such that readers can gain basic, intermediate, and advanced topical knowledge. The technology section of the book is divided into chapters covering the basics of sensor integration in materials, the challenges associated with this approach, data processing, evaluation, and validation, as well as methods for achieving an autonomous energy supply. The applications part then goes on to showcase typical scenarios where material-integrated intelligent systems are already in use, such as for structural health monitoring and smart textiles.

This book brings together a selection of the best papers from the twentiethedition of the Forum on specification and Design Languages Conference (FDL), which took place on September 18-20, 2017, in Verona, Italy. FDL is a well-established international forum devoted to dissemination of research results, practical experiences and new ideas in the application of specification, design and verification languages to the design, modeling and verification of integrated circuits, complex hardware/software embedded systems, and mixed-technology systems. Covers modeling and verification methodologies targeting digital and analog systems; Addresses firmware development and validation; Targets both functional and non-functional properties; Includes descriptions of methods for reliable system design.

New technologies and computing methodologies are now used to address the existing issues of urban traffic systems. The development of computational intelligence methods such as machine learning and deep learning, enables engineers to find innovative solutions to guide traffic in order to reduce transportation and mobility problems in urban areas. This volume, Computational Intelligence for Sustainable Transportation and Mobility, presents several computing models for intelligent transportation systems, which may hold the key to achieving sustainable development goals by optimizing traffic flow and minimizing associated risks. The book begins with the basic computational Intelligence techniques for traffic systems and explains its applications in vehicular traffic prediction, model optimization, behavior analysis, traffic density estimation, and more. The main objectives of this book are to present novel techniques developed, new technologies and computational intelligence for sustainable mobility and transportation solutions, as well as giving an understanding of some Industry 4.0 trends. Readers will learn how to apply computational intelligence techniques such as multiagent systems (MAS), whale optimization, artificial Intelligence (AI), deep neural networks (DNNs) so that they can to develop algorithms, models, and approaches for sustainable transportation operations. Key Features: - Provides an overview of machine learning models and their optimization for intelligent transportation systems in urban areas - Covers classification of traffic behavior - Demonstrates the application of artificial immune system algorithms for traffic prediction - Covers traffic density estimation using deep learning models - Covers Fog and edge computing for intelligent transportation systems - Gives an IoT and Industry 4.0 perspective about intelligent transportation systems to readers - Presents a current perspective on an urban hyperloop system for India

Special Features: · All the authors of this book are stalwarts in their respective field and are key people in promoting the technology and subject.· This book emphasizes analytical and computational modeling. · It includes in-depth discussion of mechanics, coupled multi-physics, electronics, control, and scaling effects as well as finite element analysis. · Relating all of the above to particular examples of microelectromechanical systems (MEMS) and smart devices is a highlight of this book. · Complementing the modeling aspects, the book includes organized summaries of a variety of devices and systems, details of packaging and integration, and case-studies of representative devices. · Prior disciplinary background is not assumed in presenting the material.· Many worked-out examples, context-relevant problems within the chapters, and practice exercises are included in all chapters. It is thus suitable for self-study by practicing engineers and researchers in many disciplines.· Unavailability of a book that covers both micro and smart systems at the fundamental level.· Excellent pedagogy with:" 230+ Illustrations" 25 Tables" 100+ Exercise Questions" 45 Your Turn questions for students wanting to invest time in researching." About 50 Problems and Examples within chapters About The Book: This book essentially deals with the basics of microsystem technology and is intended principally as a textbook at the undergraduate level; however, it can also be used as background book at the postgraduate level. The book makes an effort to provide an introduction to smart materials and systems. The aim of this book is to present adequate modeling details so that readers can appreciate the analysis involved in microsystems (and to some extent, smart systems) and thereby enabling them to get an in-depth understanding about simulation and design. Therefore, the book will also be useful to practicing researchers in all branches of science and engineering, who might be interested in applications where they can use this technology. The book presents adequate details of modeling of microsystems as well as addresses their fabrication and integration.