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

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Designing a sensor Network Testbed for Smart Heterogeneous applications

Designing a Sensor Network Testbed for Smart Heterogeneous A...

引用

33rd Annual IEEE conference on Local Computer Networks

作者： Reinhardt, Andreas Kropff, Matthias Hollick, Matthias Steinmetz, Ralf Tech Univ Darmstadt Multimedia Commun Lab D-64283 Darmstadt Germany

ISBN: (纸本)9781424424122

Future buildings and environments are envisioned to provide ambient intelligence, adapting to a user's preferences based on information about his context and status. Smart heterogeneous sensor networks are well suited data sources for such environments, because they allow for dynamic adaptation to newly added sensor types and novel tasks. Realistic verification of protocols and algorithms for smart networks poses special constraints on testbeds, necessitating support for heterogeneous platforms and mobility in the network. These distinct requirements limit the usability of many known testbeds of purely homogeneous nature. In this paper, we determine a minimum set of premises for smart heterogeneous sensor network testbeds and evaluate existing architectures with respect to these requirements. We then present our tubicle node platform, an integrated sensor network node providing inherent support for heterogeneity and fulfilling the determined set of requirements in their entirety. A set of twenty tubicles forms the basis for our *** testbed. Specifically designed for heterogeneity, the architecture allows rapid validation of smart sensor network algorithms and quick experimental setup.

关键词： Testbeds

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Genetic Machine Learning Approach for Data fusion applications in Dense Wireless sensor Networks

Genetic Machine Learning Approach for Data Fusion Applicatio...

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13th IEEE International conference on Emerging Technologies and Factory Automation

作者： Pinto, A. R. Bitencort, Benedito Dantas, M. A. R. Montez, Carlos B. Vasques, Francisco Univ Fed Santa Catarina Automat & Syst Dept BR-88040900 Florianopolis SC Brazil Univ Fed Santa Catarina Dept Comp Sci Florianopolis SC Brazil Univ Porto Dept Engn Mech Rua Campo Alegre 823 Oporto Portugal

ISBN: (纸本)9781424415052

Wireless sensor Networks (WSN) are being targeted for use in applications like security, resources monitoring and factory automation. However, the reduced available resources raise a lot of technical challenges. Self organization in WSN is a desirable characteristic that can be achieved by means of data fusion techniques when delivering reliable data to users. In this paper it is proposed a genetic machine learning algorithm (GMLA) approach that makes a trade-off between quality of information and communication efficiency. GMLA is based on genetic algorithms and it can adapt itself dynamically to environment modifications. The main target of the proposed approach is to achieve set(organization in a WSN application with data fusion. Simulations demonstrate that the proposed approach can optimize communication efficiency in a dense WSN.

关键词： Wireless sensor networks

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Kernel-based learning of decision fusion in wireless sensor networks

Kernel-based learning of decision fusion in wireless sensor ...

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11th International conference on Information fusion, fusion 2008

作者： Fabeck, Gernot Mathar, Rudolf Institute of Theoretical Information Technology RWTH Aachen University D-52056 Aachen Germany

ISBN: (纸本)9783000248832

The problem of decision fusion in wireless sensor networks for distributed detection applications has mainly been considered in scenarios where sensor observations are conditionally independent and both local sensor statistics as well as wireless channel conditions are available for fusion rule design. In this paper, kernel-based learning algorithms for the design of decision fusion rules are presented when no such prior knowledge is available. The fusion center receives a collection of labeled decision vectors from the sensor nodes and employs a discrete version of the method of kernel smoothing which exploits the ordinal nature of local sensor decisions. The aim is to arrive at fusion rules which are Bayes risk consistent, i.e., asymptotically optimal as the number of training samples tends to infinity. The kernel-based learning approach is applied to the problem of distributed detection of a deterministic signal in correlated Gaussian noise. Numerical results obtained by simulation show that the kernel-based fusion rules show good performance also for finite sample sizes.

关键词： sensor nodes

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Mobile Agent-based Remote Vision sensor fusion

Mobile Agent-based Remote Vision Sensor Fusion

引用

IEEE/ASME International conference on Mechatronic and Embedded Systems and applications

作者： Nestinger, Stephen S. Ko, David Rumer, Alex Cheng, Harry H. Univ Calif Davis Dept Mech & Aeronaut Engn Davis CA 95616 USA

ISBN: (纸本)9781424423675

Vision systems have become popular for remote vision sensing in geographically distributed environments due to vast amount of information they provide. However, remote vision sensors are generally plagued with power and communication bandwidth constraints. Mobile agent technology is a salient solution to geographically distributed and dynamic domains that require subsystems to interact with each other. Mobile agent technology increases power efficiency by reducing communication requirements and increases fusion processing by allowing in-situ integration of on-demand visual processing and analysis algorithms. A mobile agent can dynamically migrate from one vision sensor to another and combine all necessary sensor data in a desired manner specific to the system requesting the data. This paper presents a remote vision fusion architecture based on mobile agent technology that provides a flexible vision fusion solution. The architecture utilizes the Mobile-C library as a basis for the mobile agency along with OpenCV and ImageMagick for vision processing and manipulation. An application example is provided that demonstrates the benefit of using mobile agents for vision fusion in remote vision systems. The validity of the architecture is proven in an experimental setup with a retrofitted robotic cell comprised of a Puma 560, IBM 7575, a conveyor system, and a vision system.

关键词： computer vision Mobile agents vision sensors fusion Remote Building construction ARCHITECTURE visual processing sensor Data SUB-SYSTEM Vision processes

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Running consensus in wireless sensor networks

Running consensus in wireless sensor networks

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11th International conference on Information fusion, fusion 2008

作者： Braca, Paolo Marano, Stefano Matta, Vincenzo Italy

ISBN: (纸本)9783000248832

Wireless sensor networks are valid candidate to monitor environmental parameters in dangerous areas. In many such applications, the sensors first sense the environment and then average their measurements to compute the final estimator in a completely distributed fashion. Usually, there is no meaningful way to decide when the sensing stage should be terminated to start the average procedure. What happens if the network is impaired before that the distributed estimator is computed? Oppositely, what happens if the sensing stage is too short (i.e., the network has collected only a small amount of data when the averaging step starts)? We propose a scheme - and call it running consensus - where the sensing and the averaging stages are simultaneous: The network continues collecting data while computing on-the-fly the distributed estimator. The asymptotic behavior of the running consensus is investigated and compared with that of the classical consensus algorithms, the impact of the network topology is discussed, and examples of applications are presented.

关键词： Wireless sensor networks

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MULTI-sensor DATA fusion USING GEOMETRIC TRANSFORMATIONS FOR GAS TRANSMISSION PIPELINE INSPECTION

MULTI-SENSOR DATA FUSION USING GEOMETRIC TRANSFORMATIONS FOR...

引用

25th IEEE Instrumentation and Measurement Technology conference

作者： Oagaro, Joseph A. Mandayam, Shreekanth Rowan Univ Dept Elect & Comp Engn Glassboro NJ 08028 USA

ISBN: (纸本)9781424415403

This paper presents a technique that can be used to fuse data from multiple sensors that are employed in nondestructive evaluation (NDE) applications, specifically for the in-line inspection of gas transmission pipelines. A radial basis function artificial neural network is used to perform geometric transformations on data obtained from multiple sources. The technique allows the user to define the redundant and complementary information present in the data sets. The efficacy of the algorithm is demonstrated using experimental images obtained from the NDE of a test specimen suite using magnetic flux leakage (MFL), ultrasonic (UT) and thermal imaging methods. The results presented in this paper indicate that neural network based geometric transformation algorithms show considerable promise in multi-sensor data fusion applications.

关键词： Image processing pattern recognition industrial monitoring inverse problems

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Smart optical receiver for beamforming and enhancement of field of view in LADAR systems

Smart optical receiver for beamforming and enhancement of fi...

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conference on Multisensor, Multisource Information fusion

作者： Khoury, Jed Haji-Saeed, Bahareh Woods, Charles L. Kierstead, John USAF Res Lab Sensors Directorate Hanscom Air Force Base Bedford MA 01731 USA Solid State Sci Corp Hollis NH 03049 USA

ISBN: (纸本)9780819471659

We propose using the smart antenna principle as the basis of a new design for smart optical receivers in LADAR systems. This paper demonstrates the feasibility of designing a LADAR system with a receiver consisting of an array of photodetectors, which leads to field-of-view enhancement and beamforming by fusing streams of video information received from the detectors. As a proof of concept, we demonstrate this design by fusing several video information streams from different fields of view using our Mathworks Simulinko model. The fusion algorithm uses the fuzzy logic maximum operation on the data output from the cameras.

关键词： LADAR beamforming data fusion

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Method for applying daytime colors to nighttime imagery in realtime

Method for applying daytime colors to nighttime imagery in r...

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conference on Multisensor, Multisource Information fusion

作者： Hogervorst, Maarten A. Toet, Alexander TNO Human Factors NL-3769 ZG Soesterberg Netherlands

ISBN: (纸本)9780819471659

We present a fast and efficient method to derive and apply natural colors to nighttime imagery from multiband sensors. The color mapping is derived from the combination of a multiband image and a corresponding natural color reference image. The mapping optimizes the match between the multiband image and the reference image, and yields a nightvision image with colors similar to that of the daytime image. The mapping procedure is simple and fast. Once it has been derived the color mapping can be deployed in realtime. Different color schemes can be used tailored to the environment and the application. The expectation is that by displaying nighttime imagery in natural colors human observers will be able to interpret the imagery better and faster, thereby improving situational awareness and reducing reaction times.

关键词： image fusion false color natural color realtime fusion lookup tables

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Distributed detection in the presence of frequency offset and phase shift

Distributed detection in the presence of frequency offset an...

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42nd Annual conference on Information Sciences and Systems

作者： Wu, Tao Cheng, Qi Oklahoma State Univ Sch Elect & Comp Engn Stillwater OK 74078 USA

ISBN: (纸本)9781424422463

In this paper, we study the problem of distributed detection in the presence of unknown carrier frequency offset (CFO) and initial phase, the issue we encounter in the emerging applications of wireless sensor networks (WSNs) due to hardware constraints on sensor nodes. Suboptimal fusion rules taking into account CFO and initial phase and non-data-aided methods of low complexity for CFO and initial phase shift estimation are developed. Instead of the estimation performance, the objective function is in terms of the final detection performance. In particular, a generalized likelihood ratio test is proposed first for distributed detection in the presence of unknown CFOs and phase shifts. Then computationally simplified algorithms are proposed under the high and low signal-to-noise ratio regimes, respectively. Specifically, under the high-SNR condition, a time-averaging autocorrelator is used for CFO estimation and the Chair-Varshney fusion rule is used for decision fusion;while under the low-SNR condition, maximum likelihood estimation can be realized by a fast Fourier transform. The simulation results show that the developed fusion schemes are robust to CFO and initial phase.

关键词： distributed detection carrier frequency offset wireless sensor networks

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An autonomous sensor system architecture for active flow and noise control feedback

An autonomous sensor system architecture for active flow and...

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作者： Humphreys, William M. Culliton, William G. NASA Langley Research Center Aeroacoustics Branch Hampton VA 23681 United States NASA Langley Research Center Advanced Sensing and Optical Measurement Branch Hampton VA 23681 United States

ISBN: (纸本)9781563479427

Multi-channel sensor fusion represents a powerful technique to simply and efficiently extract information from complex phenomena. While the technique has traditionally been used for military target tracking and situational awareness, a study has been successfully completed that demonstrates that sensor fusion can be applied equally well to aerodynamic applications. A prototype autonomous hardware processor was successfully designed and used to detect in real-time the two-dimensional flow reattachment location generated by a simple separated-flow wind tunnel model. The success of this demonstration illustrates the feasibility of using autonomous sensor processing architectures to enhance flow control feedback signal generation.

关键词： Wind tunnels

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