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Proposed framework for underwater sensor Cloud for environmental monitoring

Proposed framework for underwater sensor Cloud for environme...

引用

5th international conference on Ubiquitous and Future Networks (ICUFN)

作者： Srimathi, C. Park, Soo-Hyun Rajesh, N. VIT Univ Sch Comp Sci & Engg Vellore 632014 Tamil Nadu India Kookmin Univ Dept Informat Syst Ubiquitous Syst lab Seoul South Korea

ISBN: (纸本)9781467359900

In this paper, underwater sensor network with static sensor nodes is applied in environmental monitoring. The scope of underwater sensor applications can be enhanced by combining underwater sensor network and cloud computing. The underwater sensor cloud management is done by proposing a middleware based on metamodeling. The underwater sensor cloud architecture provides a way for underwater sensor motes to collect, store and retrieve environmental data. The proposed Hadoop framework serves as a middleware for underwater sensor cloud. The middleware that is been considered to use in our research is an intelligent context-aware middleware software that will glue together the network hardware, operating systems, network stacks and applications. It contain a runtime environment that supports and coordinates multiple applications based on multi-agents, and standardized system services such as data aggregation, control and management policies. Underwater Sensor cloud framework enables to Extract knowledge from the data it collects and use the information to intelligently react and adapt to its surroundings. It links a remote end user's cognizance with the observed environment. Sensor Web is an amorphous network, creating an embedded, distributed monitoring presence that provides a dynamic infrastructure for sensors. Reduce the Labor effort and have continuous monitor of the environment Provide more intensive and accurate data on the current status of the environment and reduces the reaction time towards the environmental changes Since there is no specific routing of information, all pods share everything with one another. This global data sharing allows each pod to be aware of situations beyond its specific location Usage of historical data to predict future actions and foresee the disaster to be caused quickly and more precisely Framework can support extensibility, easy maintainability and control over the sensors deployed

关键词： underwater sensor network cloud computing sensor cloud metamodel Hadoop

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Study on agricultural condition monitoring and diagnosing of integrated platform based on the internet of things

Study on agricultural condition monitoring and diagnosing of...

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6th international conference on computer and Computing Technologies in Agriculture, CCTA 2012

作者： Yu, Jinying Zhang, Wei Information Institute of Science and Technology Beijing Academy of Agriculture and Forestry Sciences Beijing 100097 China

ISBN: (纸本)9783642361234

In order to meet the needs of modern agriculture, with the internet of things and related technologies, the author has developed a set of agricultural condition monitoring and diagnosing of integrated platform for experiment. The platform used the client and server mode, include environmental factor of monitoring platform, intelligent decision sub platform and expert remote science and technology advisory services subsidiary platform. environmental factors collected by data acquisition module, and transmit through network. Audio and video data used the XMPP protocol extension Jingle transmission;Use the knowledge base, fuzzy theory, self learning algorithm of intelligent to achieve decision-making and control. The platform has been experimented in the vegetable greenhouses, which can carry out remote supervisory and automated control and expert remote diagnosis and consultation, improving the facilities agriculture management level. © 2013 IFIP international Federation for Information Processing.

关键词： Internet of things

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An energy aware protocol for cyclic monitoring wireless sensor networks

An energy aware protocol for cyclic monitoring wireless sens...

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2013 IEEE 8th international conference on Networking, Architecture and Storage, NAS 2013

作者： Khemapech, Ittipong Duncan, Ishbel Miller, Alan School of Science and Technology University of the Thai Chamber of Commerce Dindaeng Bangkok Thailand School of Computer Science University of St Andrews North Haugh St Andrews Fife United Kingdom

ISBN: (纸本)9780769550343

The Power & Reliability Aware Protocol (PoRAP) has been developed to provide efficient communication by means of energy conservation without sacrificing reliability. This has been achieved using direct communication, adaptive transmission power adaptation and intelligent scheduling. The key capabilities of PoRAP make it suitable for environmental and habitat monitoring systems. Several experiments were designed and implemented using TinyOS components located at base station and sources. A set of experimentation was set up to determine power adaptation, achieved reliability and energy conservation. From measuring the Received Signal Strength Indicator, the Packet Reception Rate was estimated. Timing relationships were established to predict delays and to determine the required slot size for a schedule based protocol. Statistical analysis of the derived measurements demonstrated significant communication ranges for both indoor and outdoor environments. Further, by adapting the power, the protocol was able to maintain network performance in an optimal region. © 2013 IEEE.

关键词： Wireless sensor networks

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BMI-based Learning System for Appliance control Automation

BMI-based Learning System for Appliance Control Automation

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IEEE international conference on Robotics and Automation (ICRA)

作者： Penaloza, Christian Mae, Yasushi Ohara, Kenichi Arai, Tatsuo Osaka Univ Grad Sch Engn Sci Osaka 5608531 Japan

ISBN: (纸本)9781467356411;9781467356435

In this research we present a non-invasive Brain-Machine Interface (BMI) system that allows patients with motor paralysis conditions to control electronic appliances in a hospital room. The novelty of our system compared to other BMI applications is that our system gradually becomes autonomous by learning user actions (i.e. turning on/off window, lights, etc.) under certain environment conditions (temperature, illumination, etc.) and brain states (i.e. awake, sleepy, etc.). By providing learning capabilities to the system, patients are relieved from mental fatigue or stress caused by continuously controlling appliances using a BMI. We present an interface that allows the user to select and control appliances using electromyogram signals (EMG) generated by muscle contractions such as eyebrow movement. Our learning approach consists in two steps: 1) monitoring user actions, input data from sensors distributed around the room, and Electroencephalogram (EEG) data from the user, and 2) using an extended version of the Bayes Point Machine approach trained with Expectation Propagation to approximate a posterior probability from previously observed user actions under a similar combination of brain states and environmental conditions. Experimental results with volunteers demonstrate that our system provides satisfactory user experience and achieves over 85% overall learning performance after only a few trials.

关键词： Bayes methods brain-computer interfaces electrical products electromyography handicapped aids learning (artificial intelligence)

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Intellectus: intelligent sensor motes in wireless sensor network

Intellectus: Intelligent sensor motes in wireless sensor net...

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2nd international conference on Sensor Networks, SENSORNETS 2013

作者： Campana, Tiziana O'Hare, Gregory M.P. CLARITY: Centre for Sensor Web Technologies School of Computer Science and Informatics Dublin Ireland University College Dublin Dublin Ireland

ISBN: (纸本)9789898565457

A diverse range of faults and errors can occur within a wireless sensor network (WSN), and it is difficult to predict and classify them, especially post-deployment within the environment. Current monitoring and debugging techniques prove deficient for systems which contain bugs characteristic of both distributed and embedded systems. The challenge that faces researchers is how to comprehensively address network, node and data level anomalies within WSNs through the creation, collection and aggregation of local state information while minimizing additional network traffic and node energy expenditure. This paper introduces Intellectus which seeks to develop sensor motes that are both self and environment aware. The sensor node relies on local information in order to monitor itself and that of its neighborhood, by adding a learning approach based upon perceived events and their associated frequency.

关键词： Sensor nodes

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Information Technology in environmental Engineering: Selected Contributions to the Sixth international conference on Information Technologies in environmental Engineering

引用

2013年

作者： Burkhardt Funk Peter Niemeyer Jorge Marx Gmez

ISBN: (纸本)9783642360107

Information technologies have evolved to an enabling science for natural resource management and conservation, environmental engineering, scientific simulation and integrated assessment studies. Computing plays a significant role in the every day practices of environmental engineers, natural scientists, economists, and social scientists. The complexity of natural phenomena requires interdisciplinary approaches, where computing science offers the infrastructure for environmental data collection and management, scientific simulations, decision support, documentation and reporting. Ecology, environmental engineering and natural resource management comprise an excellent real-world testbed for IT system demonstration, while presenting new challenges for computer ***, uncertainty and scaling issues of natural systems constitute a demanding application domain for modelling, simulation and scientific workflows, data management and reporting, decision support and intelligent systems, distributed computing environments, geographical information systems, heterogeneous systems integration, software engineering, accounting systems, control systems, as well as sustainable manufacturing and reverse logistics. This books offers a collection of papers presented at the 6th international conference on environmental Engineering, held in July 2013, in Lneburg, Germany. Recent success stories in ecoinformatics, promising ideas and new challenges are discussed among computer scientists, environmental engineers, industrial engineers, economists and social scientists, demonstrating new paradigms for problem solving and decision making.

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Cooperative and active sensing in mobile sensor networks for scalar field mapping

Cooperative and active sensing in mobile sensor networks for...

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2013 IEEE international conference on Automation Science and Engineering, CASE 2013

作者： La, Hung Manh Sheng, Weihua Chen, Jiming Rutgers University Piscataway NJ 08854 United States School of Electrical and Computer Engineering Oklahoma State University Stillwater OK 74078 United States State Key Lab. of Industrial Control Technology Department of Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9781479915156

Scalar field mapping has many applications including environmental monitoring, search and rescue, etc. In such applications there is a need to achieve a certain level of confidence regarding the estimates at each location. In this paper, a cooperative and active sensing framework is developed to enable scalar field mapping using multiple mobile sensor nodes. The cooperative and active controller is designed via the real-time feedback of the sensing performance to steer the mobile sensors to new locations in order to improve the sensing quality. During the movement of the mobile sensors, the measurements from each sensor node and its neighbors are taken and fused with the corresponding confidences using distributed consensus filters. As a result an online map of the scalar field is built with a certain level of confidence of the estimates. We conducted computer simulations to validate and evaluate our proposed algorithms. © 2013 IEEE.

关键词： Sensor nodes

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A niche-MAS framework for evolving artificial neural networks

A niche-MAS framework for evolving artificial neural network...

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international conference on Communication, Electronics, and Automation Engineering, 2012

作者： Wang, Yudong Zhu, Gengming School of Computer Science and Engineering Hunan University of Science and Technology Xiangtan 411201 China

ISBN: (纸本)9783642316975

In order to adopt PEAs for evolving neural networks and to implement or simulate them efficiently, we introduce a distributed framework, called NMfENN in this paper. The NMfENN framework is embedded with a general PGA, which guide the evolution of the whole neural network population. But the PGA is not an explicit entity;it carries out by the Niche-MAS, which consists of a number of NAs (Niche Agents) and a CA (Commonweal Agent). By the implementation of NEAT, SANE, and MOBNET, NMfENN is demonstrated to be easily and conveniently employed to realize users' parallel evolutionary algorithms or strategies for evolving neural networks. © 2013 Springer-Verlag.

关键词： Neural networks

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intelligent road control and monitoring

Intelligent road control and monitoring

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2013 international conference on Future Information and Communication Engineering, ICFICE 2013

作者： Hahanov, Vladimir Gharibi, Wajeb Man, Ka Lok Litvinova, Eugenia Chumachenko, Svetlana Guz, Olesya Computer Engineering Faculty Kharkov National University of Radioelectronics Kharkov Ukraine

ISBN: (纸本)9789400765153

A cloud service "Green Wave" (the intellectual road infrastructure) is proposed to monitor and control traffic in real-time through the use of traffic controllers, RFID cars, in order to improve the quality and safety of vehicle movement, as well as for minimization the time and costs when vehicles are moved at the specified routes. A set of innovative scientific and technological solutions, including for solving social, human, economic and environmental problems associated with creation and use of a cloud for monitoring and management is developed. All of these technologies and tools are integrated into the automaton model of real-time interaction between monitoring and management clouds, vehicles and road infrastructure. Each car has a virtual model in a cyberspace - an individual cell in the cloud, which is invariant with respect to drivers of vehicles. © 2013 Springer Science+Business Media Dordrecht.

关键词： Vehicles

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Camera calibration based on extreme learning machine

Camera calibration based on extreme learning machine

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international conference on Communication, Electronics, and Automation Engineering, 2012

作者： Chai, Zhaohu Ren, Xuemei Chen, Qiang School of Automation Beijing Institute of Technology Beijing China

ISBN: (纸本)9783642316975

An extreme learning machine (ELM) based camera calibration method is proposed for monocular vision system in this paper. Extreme learning machine is used to depict the relationship between the image space and the world space, in which any prior knowledge on camera model or parameters is not needed, and faster training speed and higher precision are gotten. The influence of environmental noise to the calibration precision can be effectively attenuated. The validity of the proposed method is proved by comparison with camera calibration based on BP algorithm. © 2013 Springer-Verlag.

关键词： computer vision

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