Industrial System Engineering For Dron

The controller area network (CAN) microcontroller communication protocol is now ubiquitous in a staggeringly wide range of transportation and industrial control applications.

This book reveals the essence of endogenous or internal contradictions in cyberspace security issues, systematically expounds the principle of cyberspace endogenous security and safety, introduces the author-invented dynamic heterogeneous redundant (DHR) architecture with endogenous security and safety features, and theoretically answers why DHR endogenous security and safety architecture can enable network resilience engineering; the enabling role of DHR architecture solves the problem that network resilience cannot cope with unknown damage, lacks structural gain, and cannot quantify design measures. This book analyses the systematic security gains that DHR architecture enabling network resilience engineering can bring in the four purpose dimensions of prevention, defense, recovery and adaptation; gives an application example of DHR endogenous security and safety architecture enabling network resilience engineering; introduces the research and exploration of endogenous security and safety theory in wireless communication security, artificial intelligence security and other derivative application fields; and uses rich application examples. It shows that the endogenous security and safety architecture enabling network resilience engineering not only is very necessary but also has universal application significance. This book is suitable for postgraduate teaching materials or reference books of related disciplines, such as cybersecurity, network resilience engineering, confidential computing/trusted computing, information physical systems/industrial control, etc.

This book reveals the essence of endogenous or internal contradictions in cyberspace security issues, systematically expounds the principle of cyberspace endogenous security and safety, introduces the author-invented dynamic heterogeneous redundant (DHR) architecture with endogenous security and safety features, and theoretically answers why DHR endogenous security and safety architecture can enable network resilience engineering; the enabling role of DHR architecture solves the problem that network resilience cannot cope with unknown damage, lacks structural gain, and cannot quantify design measures. This book analyses the systematic security gains that DHR architecture enabling network resilience engineering can bring in the four purpose dimensions of prevention, defense, recovery and adaptation; gives an application example of DHR endogenous security and safety architecture enabling network resilience engineering; introduces the research and exploration of endogenous security and safety theory in wireless communication security, artificial intelligence security and other derivative application fields; and uses rich application examples. It shows that the endogenous security and safety architecture enabling network resilience engineering not only is very necessary but also has universal application significance. This book is suitable for postgraduate teaching materials or reference books of related disciplines, such as cybersecurity, network resilience engineering, confidential computing/trusted computing, information physical systems/industrial control, etc.

This book presents selected papers introducing readers to the key research topics and latest development trends in the theory and application of MMESE. The advanced integrated research topic man-machine-environment system engineering (MMESE) was first established in China by Professor Shengzhao Long in 1981, with direct support from one of the greatest modern Chinese scientists, Xuesen Qian. In a letter to Shengzhao Long from October 22nd, 1993, Xuesen Qian wrote: “You have created a very important modern science and technology in China!”

This book presents original studies describing the latest research and developments in the area of reliability and systems engineering. It helps the reader identifying gaps in the current knowledge and presents fruitful areas for further research in the field. Among others, this book covers reliability measures, reliability assessment of multi-state systems, optimization of multi-state systems, continuous multi-state systems, new computational techniques applied to multi-state systems and probabilistic and non-probabilistic safety assessment.