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An introduction to software development in sensor networksSensor processing is central to aerospace and defense, automation, medical imaging, and robotics. Fundamentals of Sensor Network Programming provides the basics needed to develop sensor network software and supplements. It also examines how to develop onboard applications on individual sensors, how to interconnect these sensors, how to form networks of sensors, and how these networks interact with the physical world. Included is actual code tested in a laboratory environment, as well as structured examples that allow demonstration of material with only a small network of four or more sensor nodes and a laptop.Fundamentals of Sensor Network Programming concentrates on the class of sensors having severely constrained computation, communication, and energy resources. These devices are usually penny- to matchbox-sized and are deployed in an ad-hoc fashion. This book presents techniques for programming so the sensors can work effectively as a group. Although the focus is on programming the individual sensor, the goal is to make the sensor work in a collaborative environment. With principles that may serve as building blocks for developing large-scale, long-lived systems, the book:. Develops programming methodologies unique to sensor networks. Examines how sensors can be interconnected. Shows how networks of sensors are formed. Includes actual code tested in a laboratory environment. Presents case studies covering network applicationsProviding a balance between theory and applications, this resource will prove beneficial for professionals working in industry, graduate students, computer science professionals, and academic researchers.
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Wireless sensor networks is a rapidly developing area. New applications are emerging and breakthroughs are being made in solving the underlying scientific problems. The effectiveness of sensor networks depends largely on deployment strategies, self-organization capabilities, routing and information dissemination protocols, all of which contribute to the underlying network infrastructure. Infrastructure Design for Sensor Networks is the first book to address basic infrastructure issues in wireless sensor networks. The book tackles the problems that must be addressed before sensors are deployed for surveillance, tracking, and other monitoring applications and the solutions described are scalable for large and dense sensor networks. Included in a comprehensive treatment of the topic are: techniques for deterministic sensor deployment for applications such as smart buildings and aircraft structural monitoring; techniques for ad hoc deployment for sensors, e.g., for military applications, determining, and environmental monitoring in inhospitable terrain; self organization through self-configuration and adaptive reconfiguration when a large numbers of sensors are deployed in an ad hoc fashion; energy-efficient information dissemination based on the new concept of virtual grids; and infrastructure issues in energy-efficient data routing. Infrastructure Design for Sensor Networks will be an invaluable reference source for researchers and graduate students on this topical and important subject.
Sensor networks. --- Wireless LANs. --- Intelligent agents (Computer software) --- Networks, Sensor --- Detectors --- Context-aware computing --- Multisensor data fusion --- Agents, Autonomous (Computer software) --- Agents, Cognitive (Computer software) --- Agents, Intelligent (Computer software) --- Assistants, Cognitive (Computer software) --- Assistants, Intelligent software --- Autonomous agents (Computer software) --- Cognitive agents (Computer software) --- Cognitive assistants (Computer software) --- IAs (Computer software) --- Intelligent agent software --- Intelligent software agents --- Intelligent software assistants --- Software agents (Computer software) --- Special agents (Computer software) --- Artificial intelligence --- Wi-Fi LANs --- WiFi LANs --- Wireless local area networks --- WLANs (Wireless LANs) --- Local area networks (Computer networks) --- Wireless communication systems --- Computer programs --- Electronics. --- Telecommunication. --- Computer network architectures. --- Information systems. --- Electronics and Microelectronics, Instrumentation. --- Communications Engineering, Networks. --- Signal, Image and Speech Processing. --- Computer Systems Organization and Communication Networks. --- Computer Appl. in Administrative Data Processing. --- Architectures, Computer network --- Network architectures, Computer --- Computer architecture --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Electrical engineering --- Physical sciences --- Microelectronics. --- Electrical engineering. --- Signal processing. --- Image processing. --- Speech processing systems. --- Computer organization. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- Organization, Computer --- Electronic digital computers --- Microminiature electronic equipment --- Microminiaturization (Electronics) --- Electronics --- Microtechnology --- Semiconductors --- Miniature electronic equipment --- Computational linguistics --- Electronic systems --- Modulation theory --- Oral communication --- Speech --- Telecommunication --- Singing voice synthesizers --- Pictorial data processing --- Picture processing --- Processing, Image --- Imaging systems --- Optical data processing --- Processing, Signal --- Information measurement --- Signal theory (Telecommunication) --- Electric engineering --- Engineering
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Ergodic theory. Information theory --- Mathematical control systems --- Harmonic analysis. Fourier analysis --- Image processing --- Wavelets (Mathematics) --- Traitement d'images --- Ondelettes --- Mathematics. --- Mathématiques --- Wavelets (Mathematics). --- Mathématiques
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This book studies mathematical theories of machine learning. The first part of the book explores the optimality and adaptivity of choosing step sizes of gradient descent for escaping strict saddle points in non-convex optimization problems. In the second part, the authors propose algorithms to find local minima in nonconvex optimization and to obtain global minima in some degree from the Newton Second Law without friction. In the third part, the authors study the problem of subspace clustering with noisy and missing data, which is a problem well-motivated by practical applications data subject to stochastic Gaussian noise and/or incomplete data with uniformly missing entries. In the last part, the authors introduce an novel VAR model with Elastic-Net regularization and its equivalent Bayesian model allowing for both a stable sparsity and a group selection. Provides a thorough look into the variety of mathematical theories of machine learning Presented in four parts, allowing for readers to easily navigate the complex theories Includes extensive empirical studies on both the synthetic and real application time series data.
Telecommunication. --- Engineering. --- Data mining. --- Information storage and retrieval systems. --- Big data. --- Communications Engineering, Networks. --- Computational Intelligence. --- Data Mining and Knowledge Discovery. --- Information Storage and Retrieval. --- Big Data/Analytics. --- Data sets, Large --- Large data sets --- Data sets --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Computer systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Construction --- Industrial arts --- Technology --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Electrical engineering. --- Computational intelligence. --- Information storage and retrieval. --- Intelligence, Computational --- Artificial intelligence --- Soft computing --- Electric engineering --- Engineering
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Electronics --- Office management --- Computer architecture. Operating systems --- Computer. Automation --- beeldverwerking --- informatica --- computerbesturingssystemen --- bedrijfsadministratie --- elektronica --- OS (operating system) --- signaalverwerking
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Our increasingly integrated world relies on networks both physical and virtual to transfer goods and information. The Internet is a network of networks that connects people around the world in a real-time manner, but it can be disrupted by massive data flows, diverse traffic patterns, inadequate infrastructure, and even natural disasters and political conflict. Similar challenges exist for transportation and energy distribution networks. There is an urgent need for intelligent and adaptable routing of network flows, and a rich literature has evolved that treats "oblivious network design." This book offers novel computational schemes for efficiently solving routing problems in unpredictable circumstances and proposes some real world applications for them. The versatile routing schemes mathematically guarantee long-term efficiency and are most appropriate for networks with non-deterministic (or oblivious) current and past states. After an introduction to network design and the importance of routing problems, the book presents mathematical tools needed to construct versatile routing schemes, emphasizing the role of linked hierarchical data structures, both top-down and bottom-up. It then describes two important applications of versatile routing schemes: a secure model for congestion-free content-centric networks (which will play a key role in the future of the Internet) and a novel approach for the distribution of green power resources on a smart electricity grid.
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Wireless sensor networks is a rapidly developing area. New applications are emerging and breakthroughs are being made in solving the underlying scientific problems. The effectiveness of sensor networks depends largely on deployment strategies, self-organization capabilities, routing and information dissemination protocols, all of which contribute to the underlying network infrastructure. Infrastructure Design for Sensor Networks is the first book to address basic infrastructure issues in wireless sensor networks. The book tackles the problems that must be addressed before sensors are deployed for surveillance, tracking, and other monitoring applications and the solutions described are scalable for large and dense sensor networks. Included in a comprehensive treatment of the topic are: techniques for deterministic sensor deployment for applications such as smart buildings and aircraft structural monitoring; techniques for ad hoc deployment for sensors, e.g., for military applications, determining, and environmental monitoring in inhospitable terrain; self organization through self-configuration and adaptive reconfiguration when a large numbers of sensors are deployed in an ad hoc fashion; energy-efficient information dissemination based on the new concept of virtual grids; and infrastructure issues in energy-efficient data routing. Infrastructure Design for Sensor Networks will be an invaluable reference source for researchers and graduate students on this topical and important subject.
Electronics --- Office management --- Computer architecture. Operating systems --- Computer. Automation --- beeldverwerking --- informatica --- computerbesturingssystemen --- bedrijfsadministratie --- elektronica --- OS (operating system) --- signaalverwerking
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Information retrieval --- Electrical engineering --- Applied physical engineering --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- neuronale netwerken --- fuzzy logic --- cybernetica --- informatiesystemen --- gegevensanalyse --- KI (kunstmatige intelligentie) --- elektrotechniek --- data acquisition
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