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Transdisciplinary Systems Engineering: Exploiting Convergence in a Hyper-Connected World 1st ed. 2018 [Kõva köide]

  • Formaat: Hardback, 212 pages, kõrgus x laius: 235x155 mm, kaal: 5155 g, 34 Illustrations, color; 13 Illustrations, black and white; XVII, 212 p. 47 illus., 34 illus. in color., 1 Hardback
  • Ilmumisaeg: 17-Oct-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319621831
  • ISBN-13: 9783319621838
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Transdisciplinary Systems Engineering: Exploiting Convergence in a Hyper-Connected World 1st ed. 2018Suurem pilt
  • Formaat: Hardback, 212 pages, kõrgus x laius: 235x155 mm, kaal: 5155 g, 34 Illustrations, color; 13 Illustrations, black and white; XVII, 212 p. 47 illus., 34 illus. in color., 1 Hardback
  • Ilmumisaeg: 17-Oct-2017
  • Kirjastus: Springer International Publishing AG
  • ISBN-10: 3319621831
  • ISBN-13: 9783319621838
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9783319621838.html
Märksõnad:

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.

1 Twenty-First-Century Imperatives
1(10)
1.1 Twenty-First-Century Trends
1(1)
1.2 Hyper-connectivity and Internet of Things
2(1)
1.3 Promise and Challenges of Hyper-connectivity
3(2)
1.4 Promise and Challenges of the Internet of Things
5(2)
1.5 Complexity Challenges
7(1)
1.6 Summary
8(3)
References
9(2)
2 Thinking Different
11(30)
2.1 Systems in the Twenty-First Century
11(1)
2.2 New Types of Thinking
12(24)
2.2.1 Thinking About Thinking
12(1)
2.2.2 Thinking About Humans
12(1)
2.2.3 Thinking About Models
13(1)
2.2.4 Thinking About Trade-offs
14(4)
2.2.5 Thinking About Change Propagation
18(1)
2.2.6 Thinking Wicked
19(3)
2.2.7 Thinking Complexity
22(3)
2.2.8 Thinking in Stories
25(2)
2.2.9 Thinking About Humans and Technology
27(1)
2.2.10 (Re)Thinking Assumptions
28(3)
2.2.11 Thinking Software Development
31(4)
2.2.12 Thinking Platforms
35(1)
2.3 Summary
36(5)
References
37(4)
3 Disciplinary Convergence
41(8)
3.1 Typology of Convergence
41(1)
3.2 The Promise of Disciplinary Convergence
42(3)
3.3 Impact of Convergence on System Modeling
45(1)
3.4 Transdisciplinary Systems Engineering
45(2)
3.5 Summary
47(2)
References
47(2)
4 Disruptive Collaboration
49(10)
4.1 Impact of Innovation on Collaboration
49(1)
4.2 Large-Scale Disruptive Collaboration
50(4)
4.3 Key Trade-Offs
54(3)
4.4 Summary
57(2)
References
58(1)
5 From Models to Stories
59(30)
5.1 Introduction
59(2)
5.2 Model-Based Interactive Storytelling (MBIS)
61(2)
5.3 MBIS Enables Transdisciplinary Systems Engineering
63(3)
5.4 Computational Representation of a Story
66(2)
5.5 Computational Framework for MBIS
68(2)
5.6 MBIS Approach
70(3)
5.7 Overcoming Implementation Challenges
73(1)
5.8 Illustrative Example: Campus Security System (CSS)
74(8)
5.9 Story Development
82(3)
5.10 Summary
85(4)
References
86(3)
6 Novel Options Generation
89(14)
6.1 Background
89(1)
6.2 Novel Option Generation
90(2)
6.3 Principles for Stimulating Novel Option Generation
92(5)
6.4 Option Generation Aid
97(3)
6.5 Evaluation Metrics
100(1)
6.6 Summary
100(3)
References
101(2)
7 Human Performance Enhancement
103(16)
7.1 A Key Recognition
103(1)
7.2 Road to the Present
104(1)
7.3 Aiding-Training Trade-Offs
105(1)
7.4 Parameterizing Aiding-Training Continuum
106(2)
7.5 Integrated Aiding-Training System Concept
108(8)
7.5.1 User-System Interaction
109(2)
7.5.2 Typical Usage Scenario
111(1)
7.5.3 Architecting and Implementation
112(2)
7.5.4 Content Authoring
114(1)
7.5.5 System Evaluation Criteria
115(1)
7.6 Summary
116(3)
References
117(2)
8 Design Elegance and Systems Engineering
119(14)
8.1 Elegance in Design
119(2)
8.2 Elegant Design Characteristics
121(2)
8.3 Elegant Solutions
123(2)
8.4 Elegant System Designers
125(1)
8.5 Smart Questions, Metaphors, and Analogies
126(1)
8.6 Heuristics-Enabled Elegant Design
127(2)
8.7 Assessment of System Elegance
129(1)
8.8 Summary
130(3)
References
131(2)
9 Affordable Resilience
133(28)
9.1 Background
133(1)
9.2 DOD Perspective on Resilience
134(1)
9.3 Affordability Imperative
135(1)
9.4 A Common Misconception
136(1)
9.5 Technology Challenges and Needed Advances
137(5)
9.6 Promise of Formal Methods for Resilience Engineering
142(6)
9.7 Illustrative Example: Resilient UAV Swarm
148(6)
9.8 Success Metrics and Desired Outcomes
154(1)
9.9 Summary
155(6)
References
156(5)
10 Autonomous System-of-Systems
161(26)
10.1 Road to the Present
161(1)
10.2 Trends in Autonomous Vehicles
162(3)
10.3 Connected AVs: A System-of-Systems (SoS) Perspective
165(2)
10.4 High-Reliability Imperative
167(2)
10.5 Model-Based Approach to AV-SoS Engineering
169(3)
10.6 AV-SoS Use Cases and Behavior Patterns
172(4)
10.7 Formal Modeling of AV-SoS
176(3)
10.8 Lingering Misconceptions About AVs
179(3)
10.9 Liability Management
182(1)
10.10 Summary and Outlook for the Future
183(4)
References
185(2)
11 Looking to the Future
187(18)
11.1 Promise of Transdisciplinary Systems Engineering
187(3)
11.2 Keeping an Eye on Technology Advances
190(3)
11.3 Exploiting Disciplinary Convergence
193(1)
11.4 Transforming Engineering Education
194(8)
11.5 Challenges Ahead
202(3)
References
204(1)
Appendix A Glossary of Key Terms and Definitions 205
Dr. Azad Madni is the Executive Director of University of Southern Californias flagship program in Systems Architecting and Engineering, and a Professor in USCs Viterbi School of Engineering, with courtesy appointments in the schools of medicine and education. He is the founder and CEO of Intelligent Systems Technology Inc., a high-tech R&D company specializing in cross-disciplinary approaches to complex systems engineering. He received his BS, MS, and PhD degrees in Engineering from UCLA. His research in intelligent systems, complex systems engineering, and human-technology integration has been sponsored by several government research agencies in DOD, DHS, DOE, DOC, and NASA, as well as aerospace and automotive companies. He has received several prestigious awards and honors from professional engineering societies, industry, and academia including the 2011 INCOSE Pioneer Award and 2016 Lifetime Achievement Award and Visionary Systems Engineering Leadership Award from Boeing for his impact on the aerospace industry and the nation. He is a Life Fellow of IEEE, IETE, and SDPS and Fellow of AAAS, AIAA, and INCOSE. He is the co-author of Tradeoff Decisions in System Design (Springer 2016). Heis the co-founder and current Chair of IEEE SMC Societys Technical Committee on Model Based Systems Engineering. He has served as the  Los Angeles venue host, organizer and General Chair of the Conference on Systems Engineering Research (CSER) since 2008. His research interests include probabilistic system modeling and machine learning, mutual adaptation and learning in cyber-physical-human systems, and model-based methods for architecting and engineering cyber-secure systems and system-of-systems.