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检索条件"任意字段=Intelligent Sensors, Sensor Networks and Information Processing Conference"

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Poster abstract: Occupancy estimation using real and virtual sensors

Poster abstract: Occupancy estimation using real and virtual...

引用

International Symposium on information processing in sensor networks (IPSN)

作者： Seshan Srirangarajan Dirk Pesch Nimbus Center for Embedded Systems Research Cork Institute of Technology Cork Ireland

In this paper we present occupancy estimation techniques using real (motion, door closure) and virtual (PC activity detector) sensors. The techniques considered here are based on the decision tree and artificial neura... 详细信息

关键词： Decision trees Detectors Estimation Neural networks Computational modeling Buildings

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Early fire detection in coalmine based on video processing

Early fire detection in coalmine based on video processing

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

作者： Lei, Wanzhong Liu, Jingbo Department of Electrical Information Engineering Henan Institute of Engineering Zhengzhou 451191 China School of Electrical Engineering Southwest Jiaotong University Chengdu 610031 China

ISBN: (纸本)9783642316975

Fire is one of the most serious catastrophic disasters in the coalmine. The early fire detection can help to avoid a disastrous fire. The existing temperature-sensed and smoke-sensed method may respond slowly to early fire, if it is far away from the sensors, or the setting values of sensor are unsuitable. Therefore, the detection method based on image and video processing is adopted to overcome the drawbacks of traditional fire detection method for coalmine. The paper analyses the status in the fire detection technology, and designs a structure to detect the early fire in coalmine. Firstly, image which comprises the potential fire region the potential fire region is detected by using frame differencing of monitor video, and denoised by median filter. Secondly, flame region is extracted by color information. Finally, Bayes classifier is employed to recognize fire combined with the dynamic features. The method can greatly improve accuracy of early fire prediction in coalmine, comparing with the traditional detection method. © 2013 Springer-Verlag.

关键词： Fires

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Real time Evaluation of Shortest Remaining processing Time based Schedulers for Traffic Congestion Control using Wireless sensor networks

Real time Evaluation of Shortest Remaining Processing Time b...

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2nd International conference on Connected Vehicles and Expo (ICCVE)

作者： Ahmad, Fawad Khan, Irfan Mahmud, Sahibzada Ali Khan, Gul M. Yousaf, Faqir Zarrar Univ Engn & Technol Peshawar Pakistan NEC Labs Europe Heidelberg Germany

ISBN: (纸本)9781479924912

Pre-timed traffic signals are inefficient in optimizing the traffic flow throughout the day, resulting in greater waiting times at the intersections particularly in congested urban areas during peak hours. Traffic actuated signals use real time traffic data obtained from sensors at the intersections to service queues intelligently. We developed a test bed for the real time evaluation of adaptive traffic light control algorithms using the microscopic traffic simulation open source software, SUMO (Simulation of Urban Mobility), and the AVR 32-bit microcontroller. An interface was developed between SUMO and the AVR microcontroller in which we used the simulation data generated by SUMO as an input to the microcontroller which executed the scheduling algorithms and sent commands back to SUMO for changing the states of the traffic signals accordingly. We implemented four scheduling algorithms in SUMO through the AVR microcontroller, the effect of the algorithms on the traffic network was studied using SUMO and execution times of the scheduling algorithms were measured using the AVR microcontroller. Through this interface, scheduling algorithms can be evaluated more effectively and accurately as compared to the case in which the algorithms are fed with data using pseudo random number generators.

关键词： Adaptive Traffic Light Control intelligent Transportation Systems Scheduling SUMO Traffic Actuated Signal Control

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Design of Wireless sensor Network for Protection of X-Ray Detection

Design of Wireless Sensor Network for Protection of X-Ray De...

引用

International Workshop on intelligent networks and intelligent Systems (ICINIS)

作者： Bingbing Xing Reiwei Ding Jiye Wang School of Information Engineering Minzu University of China Beijing China

ISBN: (纸本)9781479928101

Wireless sensor network is a low-rate, scalable wireless network that can be used for environmental monitoring and information collection. People who operate X-ray detection, a common method for nondestructive testing, would easily be injured without adequate protection. By installing X-ray radiation sensor and body infrared sensor on the sensor network nodes, safety monitoring system of the X-ray field will be formed. The system can be emplaced flexibly and be used easily, so it can effectively protect the staff safety and reduce accidents when X-ray is turned on in the industrial work field.

关键词： Wireless sensor networks Personnel Radiation detectors X-ray detection Infrared sensors Safety Nondestructive testing

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A selective virtual anchor node positioning scheme for Wireless sensor networks

A selective virtual anchor node positioning scheme for Wirel...

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International conference on intelligent Control and information processing (ICICIP)

作者： Lanhui Liu Zhilong Shan School of computer South China Normal University China

ISBN: (纸本)9781467362481

Localization of sensor nodes is one of the most important issues in Wireless sensor networks (WSNs), especially for the applications which requiring the accurate position of the sensed information. In most localization algorithms, a certain number of anchor nodes must be deployed to reach the accuracy of positioning. But in plenty of situations, anchor node's quantity always is limited by cost, hardware restrict, and so on. In this paper, a selective virtual anchor node positioning algorithm (SVAN-Hop) is proposed. In SVAN-Hop algorithm, a special method is used to select the unknown nodes, and a fixed weight for virtual anchors and real anchors is used in localization phase. Simulation results show that SVAN-Hop achieves greater location accuracy and coverage.

关键词： Wireless sensor networks Accuracy Simulation Algorithm design and analysis Approximation algorithms Computers Ad hoc networks

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Application and research of man-machine interface and communication technique of mobile information acquisition terminal in facility production

Application and research of man-machine interface and commun...

引用

6th International conference on Computer and Computing Technologies in Agriculture, CCTA 2012

作者： Li, Jinlei Zhang, Xin Zhao, Quanming Zheng, Wengang Shen, Changjun Shi, Zhipeng Beijing Research Center of Intelligent Equipment for Agriculture Beijing 100097 China Key Open Laboratory for Agricultural Information Technology Ministry of Agriculture Beijing 100097 China

ISBN: (纸本)9783642361234

As long as the deepen application of the Object Network Technology in the facility construction, a hot topics in research is coming out, that is how to achieve mobile operation through convenient and high-efficiency multiple resources utilization, in order to increase the proportion of the efficiency and output for the high tech facility in manufacture. The mobile collection terminals could display, transfer and collect the information from wireless sensor network high efficiency. This terminal will play an important role in the Object Network Technology application system, comparing to the others, it has such advantages of the good man-machine interaction (MMI) and reliable communication technology. We develop a mobile information collection terminal basic on the wireless sensor network, the information collection technology adopts the APC240 module to realize the wireless sensor data collection by the MODBUS Agreement;adopt wireless communication module to transfer the GPRS data;MMI realize the screen touch operation, also transplant the uC/OS+GUI making the operation more simply and understandably. This system is much convenience for more rural people to operate in daily work and with more application in agricultural construction in the future. © 2013 IFIP International Federation for information processing.

关键词： Wireless sensor networks

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Network Lifetime Optimization In Wireless Healthcare Systems: Understanding the Gap between Online and Offline Scenarios

Network Lifetime Optimization In Wireless Healthcare Systems...

引用

IEEE International conference on Communications (ICC)

作者： Gu, Yu Ji, Yusheng Ren, Fuji Li, Jie Natl Inst Informat Informat Syst Architecture Sci Res Div Tokyo Japan Univ Tokushima Dept Informat Sci & Intelligent Syst Tokushima Japan Univ Tsukuba Dept Comp Sci Tsukuba Ibaraki Japan

ISBN: (纸本)9781467331227

In this paper, we study the network Lifetime Maximization problem in Mobile healthcare sensor systems (LMM). For the healthecare system, we consider a dynamic scenario where users are mobile at their own wills and periodically report their personal health information (PHI) to a static sink, e.g, a powerful server, for further processing and distributing. The objective is to optimize the network lifetime by flow scheduling. The major difficulty lies in the time-dependent network topologies. Therefore, we propose a novel temporalspatial network modeling method by extending current model with time dimension. Based on this model, we show that if the movement of users are known in advance (i.e, offline case), the problem can be optimally solved in polynomial time by a linear programming. However, the online LMM problem is much more difficult to tackle, since we prove that there exists no online algorithm with a constant performance ratio to the offline optimal algorithm in terms of the network lifetime. We further design simulations to show the performance gap between online and offline LMM. Considering the user mobility within a given scenario follows some certain patterns, we show the potential improvements of using a prediction-based method. This investigation provides certain insights on designing efficient online algorithms for the LMM problem.

关键词： biomedical communication health care linear programming polynomials scheduling wireless sensor networks

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A fresh perspective: Learning to sparsify for detection in massive noisy sensor networks

A fresh perspective: Learning to sparsify for detection in m...

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International Symposium on information processing in sensor networks (IPSN)

作者： Matthew Faulkner Annie H. Liu Andreas Krause Computer Science Caltech Computer Science ETH Zurich

Can one trade sensor quality for quantity? While larger networks with greater sensor density promise to allow us to use noisier sensors yet measure subtler phenomena, aggregating data and designing decision rules is challenging. Motivated by dense, participatory seismic networks, we seek efficient aggregation methods for event detection. We propose to perform aggregation by sparsification: roughly, a sparsifying basis is a linear transformation that aggregates measurements from groups of sensors that tend to co-activate, and each event is observed by only a few groups of sensors. We show how a simple class of sparsifying bases provably improves detection with noisy binary sensors, even when only qualitative information about the network is available. We then describe how detection can be further improved by learning a better sparsifying basis from network observations or simulations. Learning can be done offline, and makes use of powerful off-the-shelf optimization packages. Our approach outperforms state of the art detectors on real measurements from seismic networks with hundreds of sensors, and on simulated epidemics in the Gnutella P2P communication network.

关键词： Noise measurement Seismic measurements Noise Computational modeling Error analysis Vectors Optimization

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Real time falls prevention and detection with biofeedback monitoring solution for mobile environments

Real time falls prevention and detection with biofeedback mo...

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2013 IEEE 15th International conference on e-Health Networking, Applications and Services, Healthcom 2013

作者： Horta, Edgar T. Lopes, Ivo C. Rodrigues, Joel J.P.C. Misra, Sudip Instituto de Telecomunicações University of Beira Interior Covilhã Portugal School of Information Technology Indian Institute of Technology Kharagpur India

ISBN: (纸本)9781467358019

With the elderly population growing around the world, falls increase the risk progressively with age. Those falls can origin injuries that may cause a great dependence and debilitation to the elderly, and even death in extreme cases. This paper reviews the related literature about this topic and introduces a mobile solution for falls prevention, detection, and biofeedback monitoring. The falls prevention system uses collected data from sensors in order to control and advice the patient or even to give instructions to treat an abnormal condition to reduce the falls risk. In cases of prolonged symptoms it can even detect a possible disease. The signal processing algorithms play a key role in a fall prevention system. In real time, based on biofeedback data collection, these algorithms analyses bio-signals to thereby warn the user, when needed. Monitoring and processing data from sensors is performed by a smartphone that will issue warnings to the user and, in gravity situations, send them to a caretaker. The proposed solution for falls prevention and detection is evaluated and validated through a prototype and it is ready for use. © 2013 IEEE.

关键词： Body sensor networks

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An Integrated Distributed Log Management System with Metadata for Network Operation

An Integrated Distributed Log Management System with Metadat...

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International conference on Complex, intelligent and Software Intensive Systems, CISIS

作者： Minoru Ikebe Kazuyuki Yoshida Department of Computer Science and Intelligence Systems Faculty of Engineering Oita University Oita Japan Center for Academic Information and Library Services Information Technology Center Oita University Oita Japan

ISBN: (纸本)9781479905478

An enormous amount of log data is generated by servers and other devices on the network, and server/network administrators analyze the logs to investigate anomalous communications or troubleshoot. However, server/network management tasks increase in volume and complexity, resulting in greater burden on the administrator. In this paper, we propose a integrated management system for a sensor network where log data is output from many different kinds of sensors. We consider a server or network device as one of the sensors. We also propose a cross-processing system for several kinds of log data. In particular, we describe the management and collection of logs in our campus networks.

关键词： Servers IP networks Prototypes Distributed databases Educational institutions Protocols Artificial intelligence

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