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This book therefore proposes a new philosophy of Grid usage: provide virtual computing environments for Grid users. The new methodology could solve the problems currently encountered by Grid computing. It supports desired computing environments for users, which provide customized hardware/software configuration, QoS assurance and manageable functionality. This philosophy also liberates resource providers from the various onerous tasks of resource management.
virtual machine --- virtual environment --- Grid computing --- cloud computing --- distributed computing
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The way in which scientific research is carried out is undergoing a series of radical changes, worldwide, as a result of the digital revolution. However, this “Science 2.0” requires a comprehensive supporting cyber-infrastructure. This essential guidebook on e-science presents real-world examples of practices and applications, demonstrating how a range of computational technologies and tools can be employed to build essential infrastructures supporting next-generation scientific research. Each chapter provides introductory material on core concepts and principles, as well as descriptions and discussions of relevant e-science methodologies, architectures, tools, systems, services and frameworks. The guide’s explanations and context present a broad spectrum of different e-science system requirements. Topics and features: Includes contributions from an international selection of preeminent e-science experts and practitioners Discusses use of mainstream grid computing and peer-to-peer grid technology for “open” research and resource sharing in scientific research Presents varied methods for data management in data-intensive research Investigates issues of e-infrastructure interoperability, security, trust and privacy for collaborative research Examines workflow technology for the automation of scientific processes, and that ensures the research can be reusable, reproducible and repeatable Describes applications of e-science, highlighting systems used in the fields of biometrics, clinical medicine, and ecology This highly practical text/reference is a “must-have, must-use” resource for both IT professionals and academic researchers. Graduate students will also benefit from the experiences and viewpoints shared by the authors on this important subject, as well as the instructional nature of this guidebook. Dr. Xiaoyu Yang is a research engineer in the School of Electronics and Computer Science at the University of Southampton, UK. Dr. Lizhe Wang is a research scientist in the Pervasive Technology Institute at Indiana University, Bloomington, IN, USA. Dr. Wei Jie is a lecturer in the School of Computing at Thames Valley University, London, UK.
Computer networks. --- Computer technical support. --- Information science. --- Information Services. --- Information storage and retrieval systems. --- Information Systems. --- Semantic Web -- Congresses. --- Science --- Computational grids (Computer systems) --- Research --- Physical Sciences & Mathematics --- Engineering & Applied Sciences --- Sciences - General --- Computer Science --- Data processing --- Data processing. --- Electronic data processing in research --- Grid computing --- Grids, Computational (Computer systems) --- Electronic data processing --- Computer science. --- Computers. --- Application software. --- Computer Science. --- Information Systems and Communication Service. --- Computer Applications. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Informatics --- Cyberinfrastructure --- Information systems.
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This book examines the theory and methods of remote sensing intelligent interpretation based on deep learning. Based on geological and environmental effects on mines, this book constructs a set of systematic mine remote sensing datasets focusing on the multi-level task with the system of "target detection→scene classification→semantic segmentation." Taking China's Hubei Province as an example, this book focuses on the following four aspects: 1. Development of a multiscale remote sensing dataset of the mining area, including mine target remote sensing dataset, mine (including non-mine areas) remote sensing scene dataset, and semantic segmentation remote sensing dataset of mining land cover. The three datasets are the basis of intelligent interpretation based on deep learning. 2. Research on mine target remote sensing detection method based on deep learning. 3. Research on remote sensing scene classification method of mine and non-mine areas based on deep learning. 4. Research on the fine-scale classification method of mining land cover based on semantic segmentation. The book is a valuable reference both for scholars, practitioners and as well as graduate students who are interested in mining environment research.
Nature protection --- Measuring methods in physics --- Geology. Earth sciences --- Electronics --- Environmental protection. Environmental technology --- Programming --- Computer. Automation --- Geography --- GIS (geografisch informatiesysteem) --- signal processing --- programmeren (informatica) --- geologie --- milieutechnologie --- milieubeheer --- signaalprocessoren --- signaalverwerking
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The book comprises 12 chapters dealing with the following subjects: blockchains for network security; blockchain system architecture; blockchain consensus and incentives; Internet of Things; 5G and 6G networks; edgechain for organization-based multi-agent systems; privacy-preserving machine learning; smart metering; sharding; GIS; and remote sensing big data management and production
Blockchains (Databases) --- Computer networks --- Security measures. --- Computer network security --- Network security, Computer --- Security of computer networks --- Computer security --- Block chains (Databases) --- Database security --- Distributed databases --- Cell phone systems --- Cryptography --- Data protection --- Geographic information systems --- Machine learning --- Multiagent systems --- Privacy --- Remote sensing --- Security measures --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Social psychology --- Secrecy --- Solitude --- Agent-based model (Computer software) --- MASs (Multiagent systems) --- Multi-agent systems --- Systems, Multiagent --- Intelligent agents (Computer software) --- Learning, Machine --- Artificial intelligence --- Machine theory --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Distributed data bases --- Distributed database systems --- Databases --- Cyberinfrastructure --- Data governance --- Data regulation --- Personal data protection --- Protection, Data --- Electronic data processing --- Cryptanalysis --- Cryptology --- Secret writing --- Steganography --- Signs and symbols --- Symbolism --- Writing --- Ciphers --- Data encryption (Computer science) --- Cellular radio --- Cellular radiotelephone systems --- Cellular systems (Telecommunication) --- Cellular telephone systems --- Mobile telephony --- Wireless telephone systems (Cell phone) --- Mobile communication systems --- Telephone systems --- Geography
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The way in which scientific research is carried out is undergoing a series of radical changes, worldwide, as a result of the digital revolution. However, this Science 2.0 requires a comprehensive supporting cyber-infrastructure. This essential guidebook on e-science presents real-world examples of practices and applications, demonstrating how a range of computational technologies and tools can be employed to build essential infrastructures supporting next-generation scientific research. Each chapter provides introductory material on core concepts and principles, as well as descriptions and discussions of relevant e-science methodologies, architectures, tools, systems, services and frameworks. The guide's explanations and context present a broad spectrum of different e-science system requirements. Topics and features: Includes contributions from an international selection of preeminent e-science experts and practitioners Discusses use of mainstream grid computing and peer-to-peer grid technology for open research and resource sharing in scientific research Presents varied methods for data management in data-intensive research Investigates issues of e-infrastructure interoperability, security, trust and privacy for collaborative research Examines workflow technology for the automation of scientific processes, and that ensures the research can be reusable, reproducible and repeatable Describes applications of e-science, highlighting systems used in the fields of biometrics, clinical medicine, and ecology This highly practical text/reference is a must-have, must-use resource for both IT professionals and academic researchers. Graduate students will also benefit from the experiences and viewpoints shared by the authors on this important subject, as well as the instructional nature of this guidebook. Dr. Xiaoyu Yang is a research engineer in the School of Electronics and Computer Science at the University of Southampton, UK. Dr. Lizhe Wang is a research scientist in the Pervasive Technology Institute at Indiana University, Bloomington, IN, USA. Dr. Wei Jie is a lecturer in the School of Computing at Thames Valley University, London, UK.
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Geophysics --- Meteorology. Climatology --- Geology. Earth sciences --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Geography --- GIS (geografisch informatiesysteem) --- datamining --- geologie --- natuurrampen --- data acquisition
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