Component Based Network System Engineering
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Component-based Network System Engineering
Using this new guide to building component-based network systems you are able to combine hardware, software and network elements in a predictable, competent way. Avoid costly mistakes and make the right choice the first time when deciding on and combining today's fast-changing technologies.
Telemetry Systems Engineering
This new resource clearly presents introductory and advanced concepts in telemetry systems (the technology of automatic data transmission and measurement) with an emphasis on digital communications. Geared to both beginning and seasoned engineers, specific details of telemetry systems are explained within the context of an overall system. The book helps engineers design telemetry systems to meet a specific bit error rates, and perform link analysis for the design of a communications link.
Metasynthetic Computing and Engineering of Complex Systems
Provides a comprehensive overview and introduction to the concepts, methodologies, analysis, design and applications of metasynthetic computing and engineering. The author: • Presents an overview of complex systems, especially open complex giant systems such as the Internet, complex behavioural and social problems, and actionable knowledge discovery and delivery in the big data era. • Discusses ubiquitous intelligence in complex systems, including human intelligence, domain intelligence, social intelligence, network intelligence, data intelligence and machine intelligence, and their synergy through metasynthetic engineering. • Explains the concept and methodology of human-centred, human-machine-cooperated qualitative-to-quantitative metasynthesis for understanding and managing open complex giant systems, and its computing approach: metasynthetic computing. • Introduces techniques and tools for analysing and designing problem-solving systems for open complex problems and systems. Metasynthetic Computing and Engineering uses the systematology methodology in addressing system complexities in open complex giant systems, for which it may not only be effective to apply reductionism or holism. The book aims to encourage and inspire discussions, design, implementation and reflection of effective methodologies and tools for computing and engineering open complex systems and problems. Researchers, research students and practitioners in complex systems, artificial intelligence, data science, computer science, and even system science, cognitive science, behaviour science, and social science, will find this book invaluable.