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Book
Transdisciplinary Systems Engineering : Exploiting Convergence in a Hyper-Connected World
Author:
ISBN: 9783319621845 331962184X 3319621831 Year: 2018 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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Abstract

This book explores the ways that disciplinary convergence and technological advance are transforming systems engineering to address gaps in complex systems engineering: Transdisciplinary Systems Engineering (TSE). TSE reaches beyond traditional disciplines to find connections—and this book examines a range of new methods from across such disparate areas of scholarship as computer science, social science, human studies, and systems design to reveal patterns, efficiencies, affordances, and pathways to intuitive design. Organized to serve multiple constituencies, the book stands as an ideal textbook supplement for graduate courses in systems engineering, a reference text for program managers and practicing engineers in all industries, and a primary source for researchers engaged in multidisciplinary research in systems engineering and design. Introduces a bold, new vision of where model-based systems architecting and engineering is headed; Maximizes reader understanding of recent advances in social networks, collaboration technologies, interactive storytelling, virtual worlds, and systems design that enable transdisciplinary systems engineering; Illustrates convergence among disciplines across social, human, and applied sciences with robust examples;  Facilitates creation of new courses in systems architecting and engineering by structuring each chapter as an independent resource, allowing the content to be presented in order of academic need. Azad Madni has eloquently and substantively addressed one of the most important issues facing 21st Century systems engineering and design. The author makes it clear that an environment of autonomous systems, system of systems, and the internet of things will require that we are able to apply more than math and science to solve thorny problems. They will necessitate that systems engineers and designers have an understanding of the intricate interactions that can exist between technology and humans. John Brooks Slaughter, Ph.D., P.E., NAE Professor of Education and Engineering University of Southern California President Emeritus, Occidental College Chancellor Emeritus, U. of Maryland.

Keywords

Industrial economics --- Materials sciences --- Applied physical engineering --- Engineering sciences. Technology --- Plant and equipment --- Production management --- Artificial intelligence. Robotics. Simulation. Graphics --- fabrieken --- mechatronica --- DFMA (design for manufacture and assembly) --- industriële robots --- storytelling --- IoT (Internet of Things) --- automatisering --- productie --- industriële marketing --- machines --- kwaliteitscontrole --- ingenieurswetenschappen --- Engineering design. --- Control engineering. --- Robotics. --- Mechatronics. --- Quality control. --- Reliability. --- Industrial safety. --- Engineering economics. --- Engineering economy. --- Manufactures. --- Engineering Design. --- Control, Robotics, Mechatronics. --- Quality Control, Reliability, Safety and Risk. --- Engineering Economics, Organization, Logistics, Marketing. --- Manufacturing, Machines, Tools, Processes. --- Manufactured goods --- Manufactured products --- Products --- Products, Manufactured --- Commercial products --- Manufacturing industries --- Economy, Engineering --- Engineering economics --- Industrial engineering --- Industrial accidents --- Industries --- Job safety --- Occupational hazards, Prevention of --- Occupational health and safety --- Occupational safety and health --- Prevention of industrial accidents --- Prevention of occupational hazards --- Safety, Industrial --- Safety engineering --- Safety measures --- Safety of workers --- Accidents --- System safety --- Dependability --- Trustworthiness --- Conduct of life --- Factory management --- Reliability (Engineering) --- Sampling (Statistics) --- Standardization --- Quality assurance --- Quality of products --- Mechanical engineering --- Microelectronics --- Microelectromechanical systems --- Automation --- Machine theory --- Control engineering --- Control equipment --- Control theory --- Engineering instruments --- Programmable controllers --- Design, Engineering --- Engineering --- Industrial design --- Strains and stresses --- Prevention --- Design


Book
Recent trends and advances in model based systems engineering
Author:
ISBN: 3030820823 3030820831 Year: 2022 Publisher: Cham, Switzerland : Springer,

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Book
Tradeoff Decisions in System Design
Authors: ---
ISBN: 3319437127 3319437100 Year: 2017 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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This textbook is about three key aspects of system design: decision making under uncertainty, trade-off studies and formal risk analyses. Recognizing that the mathematical treatment of these topics is similar, the authors generalize existing mathematical techniques to cover all three areas. Common to these topics are importance weights, combining functions, scoring functions, quantitative metrics, prioritization and sensitivity analyses. Furthermore, human decision-making activities and problems use these same tools. Therefore, these problems are also treated uniformly and modeled using prospect theory. Aimed at both engineering and business practitioners and students interested in systems engineering, risk analysis, operational management, and business process modeling, Tradeoff Decisions in System Design explains how humans can overcome cognitive biases and avoid mental errors when conducting trade-off studies and risk analyses in a wide range of domains. With generous use of examples as a common thread across chapters this book.


Book
Handbook of Model-Based Systems Engineering
Authors: --- --- ---
ISBN: 3030935825 Year: 2023 Publisher: Cham, Switzerland : Springer Nature Switzerland AG,

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This handbook brings together diverse domains and technical competences of Model Based Systems Engineering (MBSE) into a single, comprehensive publication. It is intended for researchers, practitioners, and students/educators who require a wide-ranging and authoritative reference on MBSE with a multidisciplinary, global perspective. It is also meant for those who want to develop a sound understanding of the practice of systems engineering and MBSE, and/or who wish to teach both introductory and advanced graduate courses in systems engineering. It is specifically focused on individuals who want to understand what MBSE is, the deficiencies in current practice that MBSE overcomes, where and how it has been successfully applied, its benefits and payoffs, and how it is being deployed in different industries and across multiple applications. MBSE engineering practitioners and educators with expertise in different domains have contributed chapters that address various uses of MBSE and related technologies such as simulation and digital twin in the systems lifecycle. The introductory chapter reviews the current state of practice, discusses the genesis of MBSE and makes the business case. Subsequent chapters present the role of ontologies and meta-models in capturing system interdependencies, reasoning about system behavior with design and operational constraints; the use of formal modeling in system (model) verification and validation; ontology-enabled integration of systems and system-of-systems; digital twin-enabled model-based testing; system model design synthesis; model-based tradespace exploration; design for reuse; human-system integration; and role of simulation and Internet-of-Things (IoT) within MBSE. .


Book
Deep Learning Networks : Design, Development and Deployment
Authors: --- ---
ISBN: 3031392442 Year: 2024 Publisher: Cham : Springer Nature Switzerland : Imprint: Springer,

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This textbook presents multiple facets of design, development and deployment of deep learning networks for both students and industry practitioners. It introduces a deep learning tool set with deep learning concepts interwoven to enhance understanding. It also presents the design and technical aspects of programming along with a practical way to understand the relationships between programming and technology for a variety of applications. It offers a tutorial for the reader to learn wide-ranging conceptual modeling and programming tools that animate deep learning applications. The book is especially directed to students taking senior level undergraduate courses and to industry practitioners interested in learning about and applying deep learning methods to practical real-world problems. The unique features of this book are: Easy-to-understand description of the multiple facets of design, development and deployment of deep learning networks; Practical tools that facilitate understanding of underlying technology; Covers wide-ranging conceptual modeling and programming tools that animate deep learning applications.


Book
The Proceedings of the 2023 Conference on Systems Engineering Research : Systems Engineering Towards a Smart and Sustainable World
Authors: --- --- ---
ISBN: 9783031491795 3031491793 Year: 2024 Publisher: Cham : Springer Nature Switzerland : Imprint: Springer,

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The 20th International Conference on Systems Engineering Research (CSER 2023) pushes the boundaries of systems engineering research and responds to new challenges for systems engineering. CSER 2023 invited researchers and practitioners to submit their work in alignment with the thematic focus on a smart and sustainable world. CSER was founded in 2003 by Stevens Institute of Technology and the University of Southern California, and in 2023 the conference returned to the Stevens campus in Hoboken, New Jersey.


Book
Disciplinary Convergence in Systems Engineering Research
Authors: --- --- --- ---
ISBN: 331962217X 3319622161 Year: 2018 Publisher: Cham : Springer International Publishing : Imprint: Springer,

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The theme of this volume on systems engineering research is disciplinary convergence: bringing together concepts, thinking, approaches, and technologies from diverse disciplines to solve complex problems. Papers presented at the Conference on Systems Engineering Research (CSER), March 23-25, 2017 at Redondo Beach, CA, are included in this volume. This collection provides researchers in academia, industry, and government forward-looking research from across the globe, written by renowned academic, industry and government researchers.


Book
Recent Trends and Advances in Model Based Systems Engineering
Authors: --- --- --- --- --- et al.
ISBN: 9783030820831 Year: 2022 Publisher: Cham Springer International Publishing :Imprint: Springer

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Multi
Recent Trends and Advances in Model Based Systems Engineering
Authors: --- --- --- --- --- et al.
ISBN: 9783030820831 9783030820824 9783030820848 9783030820855 Year: 2022 Publisher: Cham Springer International Publishing

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This volume comprises papers from the 18th Conference on Systems Engineering Research (CSER). The theme of this volume, "Recent Trends and Advances in Model-Based Systems Engineering," reflects the fact that systems engineering is undergoing a transformation motivated by mission and system complexity and enabled by technological advances such as model-based systems engineering, digital engineering, and the convergence of systems engineering with other disciplines. This conference is focused on exploring recent trends and advances in model-based systems engineering (MBSE) and the synergy of MBSE with simulation technology and digital engineering. Contributors have submitted papers on MBSE methods, modeling approaches, integration of digital engineering with MBSE, standards, modeling languages, ontologies and metamodels, and economics analysis of MBSE to respond to the challenges posed by 21st century systems. What distinguishes this volume are the latest advances in MBSE research, the convergence of MBSE with digital engineering, and recent advances in applied research in MBSE, including growing convergence with systems science and decision science. This volume is appropriate as a reference text in graduate engineering courses in Model-Based Systems Engineering.


Book
Deep Learning Networks
Authors: --- --- ---
ISBN: 9783031392443 Year: 2024 Publisher: Cham Springer Nature Switzerland :Imprint: Springer

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