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检索条件"任意字段=Conference on Sensor Fusion - Architectures, Algorithms, and Applications"

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Proceedings of the 2007 Inaugural International conference on Distributed Event-Based Systems, DEBS'07

Proceedings of the 2007 Inaugural International Conference o...

引用

2007 Inaugural International conference on Distributed Event-Based Systems, DEBS'07

ISBN: (纸本)1595936653

The proceedings contain 33 papers. The topics discussed include: Mythbusters: event stream processing versus complex event processing;TERA: topic-based event routing for peer-to-peer architectures;SpiderCast: a scalable interest-aware overlay for topic-based pub/sub communication;an efficient demand-driven and density-controlled publish/subscribe protocol for mobile environments;modeling the communication costs of content-based routing: the case of subscription forwarding;seamless formal verification of complex event processing applications;concepts and models for typing events for event-based systems;REX, the rule and event eXplorer;a system for semantic data fusion in sensor networks;historic data access in publish/subscribe;temporal order optimizations of incremental joins for composite event detection;adapting publish-subscribe routing to traffic demands;and chained forests for fast subsumption matching.

关键词： Network routing

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Modeling of potentiometric sensors sensitive to ions of valency one and two for possible applications in WARMER project - art. no. 69372I

Modeling of potentiometric sensors sensitive to ions of vale...

引用

conference on Photonics applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2007

作者： Ogrodzki, Jan Warsaw Univ Technol Warsaw Poland

ISBN: (纸本)9780819471246

This paper presents a novel model of potentiometric sensors sensitive to ions of valency one and two such as H+, K+, Na+, NH4+, Mg+, SO4-, NO3-, Cl- appearing in environmental water resources. The proposed models are based on the physical description by Van den Berg and behavioral description by Nikolsky and Eisenmann for ion-selective membranes. The elaborated models are applicable for data fusion algorithms which may be useful in the EU FP6 WARMER project dedicated to a system for water pollution risk management.

关键词： potentiometric sesnsors sensor models Nikolsky and Eisenman models

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Multisensor fusion and Integration: algorithms, applications, and Future Research Directions

Multisensor Fusion and Integration: Algorithms, Applications...

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IEEE International conference on Mechatronics and Automation

作者： Ren C. Luo Ying Chih Chou Ogst Chen Department of Electrical engineering University of Chung Cheng Chiayi Taiwan

Multisensor fusion and integration is a rapidly evolving research area and requires interdisciplinary knowledge in control theory, signal processing, artificial intelligence, probability and statistics, etc. The advantages gained through the use of redundant, complementary, or more timely information in a system can provide more reliable and accurate information. This paper provides an overview of current sensor technologies and describes the paradigm of multisensor fusion algorithms and applications of multisensor fusion in localization and tracking, robotics, identification and classification, vehicle sensing, and so on. Finally, future research directions of multisensor fusion technologies including microsensors, smart sensors, and adaptive fusion techniques are presented.

关键词： Signal processing algorithms Intelligent sensors Control theory Artificial intelligence Probability Statistics sensor fusion sensor phenomena and characterization Robot sensing systems Vehicles

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Environment recognition system for biped walking robot using vision based sensor fusion

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20th International conference on Industrial, Engineering and Other applications of Applied Intelligent Systems

作者： Kang, Tae-Koo Song, Heejun Kim, Dongwon Park, Gwi-Tae Korea Univ Dept Elect Engn 15-KaAnam Dong Seoul 136701 South Korea

ISBN: (纸本)9783540733225

This paper addresses the method of environment recognition specialized for biped walking robot. Biped walking robot should have the ability to autonomously recognize its surrounding environment and make right decisions in corresponding to its situation. In the realization of the vision system for biped walking robot, two algorithms have been largely suggested, they are;object detection system with unknown objects, and obstacle recognition system. By using the techniques mentioned above, a biped walking robot becomes to be available to autonomously move and execute various user-assigned tasks in an unknown environment. From the results of experiments, the proposed environment recognition system can be said highly available to be applied to biped walking robot walking and operated in the real world.

关键词： Mobile robots

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fusion Predictors for Multisensor Discrete-Time Linear Systems

Fusion Predictors for Multisensor Discrete-Time Linear Syste...

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Annual conference of Industrial Electronics Society

作者： Ha Ryong Song Du Yong Kim Vladimir Shin Department of Mechatronics Gwangju Institute of Science and Technology Gwangju South Korea

Two novel fusion predictors for linear dynamic systems with different types of observations are proposed. They are formed by summing of the local Kalman filters/predictors with matrix weights depending only on time instants. The relationships between them and the optimal Kalman predictor are discussed. High accuracy and computational efficiency of the fusion predictors are demonstrated on the first-order Markov process and the GMTI with multisensor environment.

关键词： Linear systems Kalman filters sensor fusion Equations Signal processing algorithms Aircraft navigation sensor systems Gaussian noise Prediction algorithms sensor systems and applications

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In-Situ Calibration of sensor Networks for Distributed Detection applications

In-Situ Calibration of Sensor Networks for Distributed Detec...

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Intelligent sensors, sensor Networks and Information Processing conference (ISSNIP)

作者： Gernot Fabeck Rudolf Mathar Institute of Theoretical Information Technology RWTH Aachen Aachen Germany

In this paper, we present algorithms for in-situ calibration of sensor networks for distributed detection in the parallel fusion architecture. The wireless sensors act as local detectors and transmit preliminary detection results to an access point or fusion center for decision combining. In order to implement an optimal fusion center, both the performance parameters of each local detector (i.e., its probability of false alarm and probability of miss) as well as the wireless channel conditions must be known. However, in real-world applications these statistics may be unknown or vary in time. In our approach, the fusion center receives a collection of labeled samples from the sensor nodes after deployment of the network and calibrates the impact of individual sensors on the final detection result. In the case that local sensor decisions are independent, we employ maximum likelihood parameter estimation techniques, whereas in the case of arbitrarily correlated sensor outputs, we use the method of kernel smoothing. The obtained fusion rules are both asymptotically optimal and show good performance for finite sample sizes.

关键词： Calibration sensor fusion Wireless sensor networks Detectors Probability Statistics Maximum likelihood detection Maximum likelihood estimation Parameter estimation Kernel

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Bayesian Probabilistic approach for inverse source determination from limited and noisy chemical or biological sensor concentration measurements - art. no. 65540W

Bayesian Probabilistic approach for inverse source determina...

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conference on Chemical and Biological Sensing VIII

作者： Yee, Eugene Def R&D Canada Suffield Medicine Hat AB T1A 8K6 Canada

ISBN: (纸本)9780819466761

Although a great deal of research effort has been focused on the forward prediction of the dispersion of contaminants (e.g., chemical and biological warfare agents) released into the turbulent atmosphere, much less work has been directed toward the inverse prediction of agent source location and strength from the measured concentration, even though the importance of this problem for a number of practical applications is obvious. In general, the inverse problem of source reconstruction is ill-posed and unsolvable without additional information. It is demonstrated that a Bayesian probabilistic inferential framework provides a natural and logically consistent method for source reconstruction from a limited number of noisy concentration data. In particular, the Bayesian approach permits one to incorporate prior knowledge about the source as well as additional information regarding both model and data errors. The latter enables a rigorous determination of the uncertainty in the inference of the source parameters (e.g., spatial location, emission rate, release time, etc.), hence extending the potential of the methodology as a tool for quantitative source reconstruction. A model (or, source-receptor relationship) that relates the source distribution to the concentration data measured by a number of sensors is formulated, and Bayesian probability theory is used to derive the posterior probability density function of the source parameters. A computationally efficient methodology for determination of the likelihood function for the problem, based on an adjoint representation of the source-receptor relationship, is described. Furthermore, we describe the application of efficient stochastic algorithms based on Markov chain Monte Carlo (MCMC) for sampling from the posterior distribution of the source parameters, the latter of which is required to undertake the Bayesian computation. The Bayesian inferential methodology for source reconstruction is validated against real dispersio

关键词： atmospheric dispersion Bayesian inference inverse problems Markov chain Monte Carlo sensor arrays sensor/model data fusion source reconstruction

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An Energy-Efficient Cooperative Algorithm for Data Estimation in Wireless sensor Networks

An Energy-Efficient Cooperative Algorithm for Data Estimatio...

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Canadian conference on Electrical and Computer Engineering (CCECE)

作者： Ashkan Heshmati M. Reza Soleymani Department of Electrical and Computer Engineering Concordia University Montreal QUE Canada

In wireless sensor networks (WSN), nodes operate on batteries and network's lifetime depends on energy consumption of the nodes. Consider the class of sensor networks where all nodes sense a single phenomenon at different locations and send messages to a fusion center (FC) in order to estimate the actual information. In classical systems all data processing tasks are done in the FC and there is no processing or compression before transmission. In the proposed algorithm, network is divided into clusters and data processing is done in two parts. The first part is performed in each cluster at the sensor nodes after local data sharing and the second part will be done at the fusion center after receiving all messages from clusters. Local data sharing results in more efficient data transmission in terms of number of bits. We also take advantage of having the same copy of data at all nodes of each cluster and suggest a virtual multiple-input multiple-output (V-MIMO) architecture for data transmission from clusters to the FC. A Virtual-MIMO network is a set of distributed nodes each having one antenna. By sharing their data among themselves, these nodes turn into a classical MIMO system. In the previously proposed cooperative/virtual MIMO architectures there has not been any data processing or compression in the conference phase. We modify the existing V-MIMO algorithms to suit the specific class of sensor networks that is of our concern. We use orthogonal space-time block codes (STBC) for MIMO part and by simulation show that this algorithm saves considerable energy compared to classical systems.

关键词： Energy efficiency Wireless sensor networks MIMO Data processing sensor fusion Data communication Batteries Energy consumption sensor phenomena and characterization Clustering algorithms

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Wearable FPGA Based Wireless sensor Platform

Wearable FPGA Based Wireless Sensor Platform

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29th Annual International conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2007), vol.6

作者： Tom Ahola Pekka Korpinen Juha Rakkola Teemu Ramo Jukka Salminen Jari Savolainen Nokia Research Center Helsinki Finland Nokia Technology Platforms Tampere Finland

A new wearable sensor platform has been developed. It is based on a Field Programmable Gate Array (FPGA) device. Because of this the hardware is very flexible and gives the platform unique opportunities for research of a wide range of architectures, applications and signal processing algorithms. The platform has been named NWSP, for Nokia Wrist -^sAttached sensor Platform. This document describes the hardware, the firmware and applications of the platform.

关键词： Field programmable gate arrays Wireless sensor networks Wearable sensors Intelligent sensors sensor systems Application specific processors Hardware Energy consumption Computer architecture sensor phenomena and characterization

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From Vision to Realtime Motion Control for the RoboCup Domain

From Vision to Realtime Motion Control for the RoboCup Domai...

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IEEE conference on Control Technology and applications (CCTA)

作者： Dennis Bruijnen Wouter Aangenent Jeroen van Helvoort Rene van de Molengraft Faculty of Mechanical Engineering Technische Universiteit Eindhoven The Netherlands

In this paper, an overview is given of how the path from vision to motion has been developed in the TechUnited team. The vision module includes: (i) color calibration using a union of convex hulls to select an area in the 3D-colorspace, (ii) automatic calibration of the mapping from the camera image to the field via a genetic algorithm, (iii) self localization based on field lines. The output of the vision module is used by the motion module which includes: (i) vision and encoder sensor fusion by monitoring the drift caused by odometry, (ii) generating a motion path complying with the robot's limitations to prevent wheel slippage, (iii) collocated motion control. In contrast to closing the loop on vision, our approach uses wheel encoders as the basis for motion control, which has several advantages such as less delay due to a higher sampling frequency. Vision is only used to compensate for slow drift caused by slip in the wheel-surface contact.

关键词： Motion control Calibration Wheels Motion planning Cameras Genetic algorithms sensor fusion Monitoring fusion power generation Mobile robots

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