Fundamentals Of Pervasive Information Management Systems
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Fundamentals of Pervasive Information Management Systems
A comprehensive new edition on mobile computing covering both mobile and sensor data The new paradigm of pervasive computing was born from the needs of highly mobile workers to access and transfer data while on the go. Significant advances in the technology have lent and will continue to lend prevalence to its use especially in m-commerce. Covering both mobile data and sensor data, this comprehensive text offers updated research on sensor technology, data stream processing, mobile database security, and contextual processing. Packed with cases studies, exercises, and examples, Fundamentals of Pervasive Information Management Systems covers essential aspects of wireless communication and provides a thorough discussion about managing information on mobile database systems (MDS). It addresses the integration of web and workflow with mobile computing and looks at the current state of research. Fundamentals of Pervasive Information Management Systems presents chapters on: Mobile Database System Mobile and Wireless Communication Location and Handoff Management Fundamentals of Database Processing Introduction to Concurrency Control Mechanisms Effect of Mobility on Data Processing Transaction Management in Mobile Database Systems Mobile Database Recovery Wireless Information Dissemination Introduction to Sensor Technology Sensor Technology and Data Streams Management Sensor Network Deployment: Case Studies Fundamentals of Pervasive Information Management Systems is an ideal book for researchers, teachers, and graduate students of mobile computing. The book may also be used as a reference text for researchers or managers.
Fundamentals of Pervasive Information Management Systems
A comprehensive new edition on mobile computing—coveringboth mobile and sensor data The new paradigm of pervasive computing was born from the needsof highly mobile workers to access and transfer data while on thego. Significant advances in the technology have lent and willcontinue to lend prevalence to its use—especially inm-commerce. Covering both mobile data and sensor data, thiscomprehensive text offers updated research on sensor technology,data stream processing, mobile database security, and contextualprocessing. Packed with cases studies, exercises, and examples,Fundamentals of Pervasive Information Management Systemscovers essential aspects of wireless communication and provides athorough discussion about managing information on mobile databasesystems (MDS). It addresses the integration of web and workflowwith mobile computing and looks at the current state ofresearch. Fundamentals of Pervasive Information Management Systemspresents chapters on: Mobile Database System Mobile and Wireless Communication Location and Handoff Management Fundamentals of Database Processing Introduction to Concurrency Control Mechanisms Effect of Mobility on Data Processing Transaction Management in Mobile Database Systems Mobile Database Recovery Wireless Information Dissemination Introduction to Sensor Technology Sensor Technology and Data Streams Management Sensor Network Deployment: Case Studies Fundamentals of Pervasive Information Management Systemsis an ideal book for researchers, teachers, and graduate studentsof mobile computing. The book may also be used as a reference textfor researchers or managers.
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020
Author: Aboul Ella Hassanien
language: en
Publisher: Springer Nature
Release Date: 2020-09-19
This book presents the proceedings of the 6th International Conference on Advanced Intelligent Systems and Informatics 2020 (AISI2020), which took place in Cairo, Egypt, from October 19 to 21, 2020. This international and interdisciplinary conference, which highlighted essential research and developments in the fields of informatics and intelligent systems, was organized by the Scientific Research Group in Egypt (SRGE). The book is divided into several sections, covering the following topics: Intelligent Systems, Deep Learning Technology, Document and Sentiment Analysis, Blockchain and Cyber Physical System, Health Informatics and AI against COVID-19, Data Mining, Power and Control Systems, Business Intelligence, Social Media and Digital Transformation, Robotic, Control Design, and Smart Systems.