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Big Data Privacy Preservation for Cyber-Physical Systems (Paperback, 1st ed. 2019): Miao Pan, Jingyi Wang, Sai Mounika... Big Data Privacy Preservation for Cyber-Physical Systems (Paperback, 1st ed. 2019)
Miao Pan, Jingyi Wang, Sai Mounika Errapotu, Xinyue Zhang, Jiahao Ding, …
R1,521 Discovery Miles 15 210 Ships in 10 - 15 working days

This SpringerBrief mainly focuses on effective big data analytics for CPS, and addresses the privacy issues that arise on various CPS applications. The authors develop a series of privacy preserving data analytic and processing methodologies through data driven optimization based on applied cryptographic techniques and differential privacy in this brief. This brief also focuses on effectively integrating the data analysis and data privacy preservation techniques to provide the most desirable solutions for the state-of-the-art CPS with various application-specific requirements. Cyber-physical systems (CPS) are the "next generation of engineered systems," that integrate computation and networking capabilities to monitor and control entities in the physical world. Multiple domains of CPS typically collect huge amounts of data and rely on it for decision making, where the data may include individual or sensitive information, for e.g., smart metering, intelligent transportation, healthcare, sensor/data aggregation, crowd sensing etc. This brief assists users working in these areas and contributes to the literature by addressing data privacy concerns during collection, computation or big data analysis in these large scale systems. Data breaches result in undesirable loss of privacy for the participants and for the entire system, therefore identifying the vulnerabilities and developing tools to mitigate such concerns is crucial to build high confidence CPS. This Springerbrief targets professors, professionals and research scientists working in Wireless Communications, Networking, Cyber-Physical Systems and Data Science. Undergraduate and graduate-level students interested in Privacy Preservation of state-of-the-art Wireless Networks and Cyber-Physical Systems will use this Springerbrief as a study guide.

Modern Completion Technology for Oil and Gas Wells (Hardcover, Ed): Ding-Zhu, Kenji Furui Modern Completion Technology for Oil and Gas Wells (Hardcover, Ed)
Ding-Zhu, Kenji Furui
R4,677 Discovery Miles 46 770 Ships in 10 - 15 working days

The latest oil and gas well completion technologies and best practices Increase oil and gas production and maximize revenue generation using the start-to-finish completion procedures contained in this hands-on guide. Written by a pair of energy production experts, Modern Completion Technology for Oil and Gas Wells introduces each technique, shows how it works, and teaches how to deploy it effectively. You will get full explanations of the goals of completion along with detailed examples and case studies that clearly demonstrate how to successfully meet those goals. Modern production methods such as hydraulic fracturing, acid simulation, and intelligent well completions are thoroughly covered. Coverage includes: *Functions and goals of oil and gas well completion *Well completion fundamentals *Completion impact in near-wellbore region to inflow performance *Completions for fracturing *Completions for acid stimulation *Intelligent well completion: downhole monitoring and flow control *Completion designs for production and injection optimization

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