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检索条件"任意字段=3rd International Symposium on Information Processing in Sensor Networks"

共 1445 条记录，以下是71-80 订阅

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Body sensor networks for Human Activity Recognition 3

Body Sensor Networks for Human Activity Recognition

引用

3rd international Conference on Signal processing and Integrated networks (SPIN)

作者： Chetty, Girija White, Matthew Univ Canberra Fac ESTeM Canberra ACT 2601 Australia Infin Imaging Grp Melbourne Vic Australia

ISBN: (纸本)9781467391979

Body sensor networks aim to capture the state of the user and its environment by utilizing from information heterogeneous sensors, and allow continuous monitoring of numerous physiological signals, where these sensors are attached to the subject's body. This can be immensely useful in activity recognition for identity verification, health and ageing and sport and exercise monitoring applications. In this paper, the application of body sensor networks for automatic and intelligent daily activity monitoring for elderly people, using wireless body sensors and smartphone inertial sensors has been reported. The scheme uses information theory-based feature ranking algorithms and classifiers based on random forests, ensemble learning and lazy learning. Extensive experiments using different publicly available datasets of human activity show that the proposed approach can assist in the development of intelligent and automatic real time human activity monitoring technology for eHealth application scenarios for elderly, disabled and people with special needs.

关键词： smart phone body sensor activity recognition machine learning assisted living

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Combining analytic models with neural networks 3

Combining analytic models with neural networks

引用

3rd IEEE international symposium on Signal processing and information Technology

作者： Jan, T Univ Technol Dept Comp Sci Sydney NSW Australia

ISBN: (纸本)0780382927

In this paper, an ensemble of models is introduced which combines a linear parametric model and a nonlinear non-parametric model such as Artificial Neural Network (ANN). Ibis model aims to embody the desirable characteristics of linear parametric model such as stable generalization capability while retaining the data-based learning and prediction capacity of ANNs. The proposed model is applied for short term time series prediction and the results show that the proposed model achieves good generalization (prediction) performance utilizing the nonparametric ANN model component while achieving much improved stability utilizing the linear model component. The experiment compares the proposed model to other ANN models and linear models for generalization.

关键词： Artificial neural networks Computational modeling Computer networks Ear Multilayer perceptrons Neural networks Parametric statistics Predictive models Stability Training data

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Approach to construct cluster in unstructured P2P networks based on small-world theory

Approach to construct cluster in unstructured P2P networks b...

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3rd international symposium on information processing, ISIP 2010

作者： Zhang, Zhen Department of Computer Science South China University of Technology Guangzhou China Department of Computer Science Jinan University Guanghzou China

ISBN: (纸本)9780769542614

Node clustering has wide-ranging applications in decentralized P2P networks such as P2P file sharing systems, mobile ad-hoc networks, P2P sensor networks, and so forth. This paper proposes an approach to construct clusters in unstructured P2P networks based on small-world theory. In contrast to centralized graph clustering algorithms, our scheme is completely decentralized and it only uses the knowledge of neighbor nodes instead of requiring a global knowledge of the network to be available. The P2P networks are dynamic and the nodes in P2P networks can entry and exit frequently. To cope with the typical dynamics of P2P networks, we provide mechanisms to allow new nodes to be incorporated into, appropriate existing clusters and to gracefully handle the departure of nodes in the clusters. © 2010 IEEE.

关键词： Mobile ad hoc networks

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Ultra-low complexity control for adhoc mobile sensor networks 3

Ultra-low complexity control for adhoc mobile sensor network...

引用

3rd international Conference on Digital information processing and Communications, ICDIPC 2013

作者： Scheutz, Matthias Department of Computer Science Tufts University MedfordMA021555 United States

We introduce an ultra-low complexity decentralized control scheme for adhoc mobile sensor networks that can be used for a great variety of sensing tasks. sensor networks using this control scheme are easy to configure, can operate completely autonomously without supervision, and automatically adapt to various environmental changes. Moreover, they are robust to individual sensor failure as well as other disturbances and scale very well. Finally, they allow for simple dynamic adhoc networks that can route data based on available sensor connectivity. We demonstrate the versatility and effectiveness of sensor homogeneous and heterogeneous sensor networks using the proposed control scheme in simulations of unmanned aerial vehicles performing target detection, tracking, and reporting tasks. © 2013 SDIWC.

关键词： sensor networks

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An algorithm of maximum lifetime of data gathering aggregation issue based on Linear programming in WSNs

An algorithm of maximum lifetime of data gathering aggregati...

引用

3rd international symposium on information processing, ISIP 2010

作者： Guo, Jun Wang, Yongbo College of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing 100876 China College of Information Science and Technology Qingdao University of Science and Technology Qingdao 266061 China

ISBN: (纸本)9780769542614

Saving energy and prolonging network lifetime are key problem of wireless sensor networks (WSNS). In this paper, Maximum Lifetime data gathering in WSNS is considered, in which the WSNS is consists of a collection of aggregation trees together with the number of rounds each such tree which is required to be small, given the limited computation and communication resources of sensor nodes. We describe a simple and efficient combinatorial iterative algorithm for finding an optimal continuous solution that has up to n-1 aggregation trees and achieves lifetime using linear programming, which depends on the network topology and initial energy available at the sensors. An approximate optimal integral solution is obtained. The simulation experiment is expressed that the algorithm for computing maximum lifetime is more effective. © 2010 IEEE.

关键词： Linear programming

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On-line learning in recurrent neural networks using nonlinear Kalman filters 3

On-line learning in recurrent neural networks using nonlinea...

引用

3rd IEEE international symposium on Signal processing and information Technology

作者： Todorovic, B Stankovic, M Moraga, C Univ Nish Fac Occupat Safety YU-18000 Nish Serbia Monteneg Yugoslavia

ISBN: (纸本)0780382927

The extended Kalman filter has been successfully applied to the feedforward and the recurrent neural network training. Recently introduced derivative-free filters (Unscented Kalman Filter and Divided Difference Filter) outperform the extended Kalman filter in nonlinear state estimation. In the parameter estimation of the feedforward neural networks UKF and DDF are comparable or slightly better than EKF with a significant advantage that they do not demand calculation of the neural network Jacobian. In this paper, we consider the application Of EKF, UKF and DDF to the recurrent neural network training. The class of non-linear autoregressive recurrent neural networks with exogenous inputs is chosen as a basic architecture due to its powerful representational capabilities.

关键词： Electronic mail Feedforward neural networks Filters Intelligent networks Jacobian matrices Neural networks Neurons Parameter estimation Recurrent neural networks State estimation

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New gradient learning rules for artificial neural nets based on moderatism and feedback model 3

New gradient learning rules for artificial neural nets based...

引用

3rd IEEE international symposium on Signal processing and information Technology

作者： Islam, MT Okabe, Y Univ Tokyo Dept Elect Engn Tokyo 1138656 Japan

ISBN: (纸本)0780382927

Moderatism [1], which is a learning model for ANNs, is based on the principle that individual neurons and neural nets as a whole try to sustain a "moderate" level in their input and output signals. In this way, a close mutual relationship with the outside environment is maintained. In this paper, two potential Moderatism-based local, gradient learning rules are proposed. Then, a pattern learning experiment is performed to compare the learning performances of these two learning rules, the Error Based Weight Update (EBWU) rule [4][5], and Error Backpropagation [3].

关键词： Artificial neural networks Backpropagation Biological system modeling Costs Electronic mail Error correction Multi-layer neural network Neural networks Neurofeedback Neurons

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Analysis and Implementation of APIT Localization Algorithm for Wireless sensor Network 3

Analysis and Implementation of APIT Localization Algorithm f...

引用

3rd international Conference on Computer and Communication Systems (ICCCS)

作者： Jaya Payal, Ashish GGSIP Univ USICT New Delhi India

ISBN: (纸本)9781538663509

In the era of big data and IoT, sensor networks is being explored as a new method of information gathering, processing and dissemination where data is mapped with the location of sensor nodes. Localization is a method where a sensor node has the ability to self-locate the location. Most of the localization algorithms in wireless sensor networks(WSNs) need the location information of reference nodes to localize the unknown nodes. APIT is an anchor based range free localization algorithm which locate the location of unknown node by triangular area method. When the location of the unknown node is near the edge, this algorithm is imprecise. In this paper, an APIT localization algorithm is implemented and analyzed which reduces the localization error by eliminating the edge error effect. The Simulation has been done in MATLAB environment

关键词： APIT localization range free localization triangulation barycentric coordinate technique wireless sensor network

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Semi-structured interference suppression for orthogonal frequency division multiplexing 3

Semi-structured interference suppression for orthogonal freq...

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3rd IEEE international symposium on Signal processing and information Technology

作者： Larsson, EG George Washington Univ Dept ECE Washington DC 20052 USA

ISBN: (纸本)0780382927

We present a novel, computationally simple method for interference suppression in an orthogonal-frequency division multiplexing system with multiple receive antennas. The algorithm estimates the power spectrum of the interference and noise using a low-order time-domain model, and uses a penalized-likelihood approach to adaptively choose the model order. Numerical examples illustrate the performance of our method.

关键词： Finite impulse response filter GSM Interchannel interference Interference suppression OFDM modulation Performance loss Power system modeling Receiving antennas Time domain analysis Wireless networks

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An Efficient and Practical Mobile Node Reauthentication Scheme for Mobile Wireless sensor networks 17

An Efficient and Practical Mobile Node Reauthentication Sche...

引用

3rd international Conference on Communication and information processing (ICCIP)

作者： Kim, BoSung Song, JooSeok Yonsei Univ Dept Comp Sci 50 Yonsei Ro Seoul 03722 South Korea

ISBN: (纸本)9781450353656

Mobile wireless sensor networks (MWSNs) are a new type of WSN where sink or sensor nodes are mobile. Compared to static WSNs, MWSNs provide many advantages, but the mobility introduces a new security problem of frequent reauthentication. To resolve this problem, several efficient mobile node reauthentication schemes have been proposed. However, they do not work properly in the situation where the mobile node moves between non-neighboring cluster heads. Otherwise, the communication or computation overheads of the mobile node are too high. In this paper, we propose an efficient and practical mobile node reauthentication scheme. In our scheme, through the handover candidate discovery, the mobile node can be reauthenticated efficiently even if it moves between nonneighboring cluster heads. The security analysis shows that our scheme meets the security requirements well and provides better robustness against node compromise attack than the previous study. The performance evaluation shows that our scheme consumes less energy and provides shorter reauthentication delay than previous studies.

关键词： Wireless sensor networks mobile wireless sensor networks mobile sensor node security authentication key agreement

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