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IEEE international symposium on Industrial Electronics (ISIE)

作者： Jin-Woo Lee Sung-Uk Choi Chang-Hoon Lee Young-Jin Lee Kwon-Soon Lee Department of Electronics Control & System Laboratory Dong-A University Busan South Korea Department of Electrical Instrument and Control Korea Aviation Polytechnic College Sacheon South Korea

ISBN: (纸本)0780370902

The authors experimented on an AGV driving test with a color CCD camera. This paper can be divided into two parts. One is the image processing part to measure the condition of the guideline and AGV. The other obtains the reference steering angle through using the image processing parts. First, the two dimensional information of image derived from the vision sensor is interpreted to 3 dimension information by the angle and position of the CCD camera. Through these processes, the AGV knows its driving conditions. Using this information, the AGV calculates the reference steering angle changed by its speed. In the case of low speed, it focuses on the left/right error values of the guideline. As the speed of the AGV increases, it focuses on the slope of the guideline. Lastly, the authors model the above descriptions to the type of PID controller and regulate the coefficient value of the AGV speed.

关键词： Control systems Machine vision Guidelines Charge coupled devices Charge-coupled image sensors Image processing Three-term control Electronic equipment testing sensor systems Neural networks

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Implementing a high-rate, low-cost data processing system

Implementing a high-rate, low-cost data processing system

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IEEE international symposium on Geoscience and Remote Sensing (IGARSS)

作者： G.T. Butulis C.A. Tilmes J.K. Hord M.J.C. Bur A.J. Fleig NASA Goddard Space Flight Center Greenbelt MD USA

Large-scale processing systems for producing information from high data rate instruments have traditionally been built using large, expensive multi-processor computer systems. In the last few years, improvements in commodity computing systems and storage devices have brought them to the performance territory once held exclusively by the likes of DEC, SGI, Sun, and IBM. We are now building a data processing system using PC-class machines for the Ozone Monitoring Instrument (OMI) that will be launched in 2003. OMI has a 1Mbit/second data rate and will run continuously for five years. The OMI production system, which is based on the 3/sup rd/ generation Moderate Resolution Imaging Spectroradiometer (MODIS) data processing system, will use a heterogeneous set of low-cost processors, high-volume disks, and fast networks to provide impressive throughput for an exceptionally low cost. This approach provides an attractive alternative to the high initial outlay and continuing support costs of the traditional "heavy iron" systems.

关键词： Data processing Instruments MODIS Costs Large-scale systems Sun Computerized monitoring Condition monitoring Production systems Throughput

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The mobile patient: Wireless distributed sensor networks for patient monitoring and care

The mobile patient: Wireless distributed sensor networks for...

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Joint Meeting of the 3rd IEEE EMBS international Conference on information Technology Applications in Biomedicine/3rd Workshop of the Int-Telemedical-information-Society

作者： Bauer, P Sichitiu, M Istepanian, R Premaratne, K Univ Notre Dame Dept EE Notre Dame IN 46556 USA

ISBN: (纸本)078036449X

In this paper, the concept of a 3 layer distributed sensor network for patient monitoring and care is introduced. The envisioned network has a leaf node layer (consisting of patient sensors), a intermediate node layer (consisting of the supervisory processor residing with each patient) and the root node processor (residing at a central monitoring facility). The introduced paradigm has the capability of dealing with the bandwidth bottleneck at the wireless patient - root node link and the processing bottleneck at the central processor or root node of the network.

关键词： mobile patient wireless network distributed sensor network variable bit-rate control

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Wireless personal area networks in telemedical environment

Wireless personal area networks in telemedical environment

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Joint Meeting of the 3rd IEEE EMBS international Conference on information Technology Applications in Biomedicine/3rd Workshop of the Int-Telemedical-information-Society

作者： Jovanov, E Price, J Raskovic, D Kavi, K Martin, T Adhami, R Univ Alabama Dept Elect & Comp Engn Huntsville AL 35899 USA

ISBN: (纸本)078036449X

We present a new design of wireless personal area network with physiological sensors for medical applications in telemedical environment. Intelligent wireless sensors perform data acquisition and limited processing. Individual sensors monitor specific physiological signals (such as EEG, EGG, GSR, etc.) and communicate with each other and the personal server. Personal server integrates information from different sensors and communicates with the rest of telemedical system as a standard mobile unit. We present our prototype implementation of Wireless Intelligent sensor (WISE) based on a very low power consumption microcontroller and a DSP-based personal server. In future we expect all components of WISE integrated in a single chip for use in a variety of new medical applications and sophisticated human computer interfaces.

关键词： wireless networks personal area networks telemedicine intelligent sensors signal processing

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Machine level diagnosis tools for condition monitoring: Concentrator units of the NEURAL-MAINE project

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DAMAS 99: DAMAGE ASSESSMENT OF STRUCTURES 1999年 167-1卷 217-223页

作者： Long, A Isbell, C Kirkham, C Taylor, O Brunel Univ CNCA Egham TW20 0JZ Surrey England Lulworth Business Ctr Totton SO40 3WW Hants England Univ Sunderland CAS Sunderland SR6 0DD England

Smart Technologies such as Neural networks and Expert Systems have been successfully applied to many industrial problems, and are the focus of a number of preliminary investigations involving the condition monitoring of large complex machinery installations. Plant such as power generators, letter sorters and food processing equipment are all indicative of the types of machinery that generate diverse, inter-related condition indicators. Whilst many of these measures can be processed by expensive focussed systems, no currently available system is able to provide a comprehensive analysis of all of a machines parameters and present this information in a coherent and useful manner. This can inhibit a plant manager's ability to make correct maintenance decisions. This paper describes an aspect of the NEURAL-MAINE project, which is developing a modular approach utilising Smart Technologies, Data Fusion and multiple sensor technologies, allowing for a comprehensive On-line monitoring and diagnostic capabilities, and focuses on the Concentrator element of the system. This is primarily concerned with the development of a dynamic Case Based Reasoning approach to fault diagnosis.

关键词： neural computing case based reasoning dynamic learning novelty detection data fusion concentrator

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Multifunctional learning of a multiagent based evolutionary artificial neural network with lifetime learning 3

Multifunctional learning of a multiagent based evolutionary ...

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3rd IEEE international symposium on Computational Intelligence in Robotics and Automation, CIRA 1999

作者： Wang, Fang Mckenzie, Eric Institute of Perception Action and Behaviour Division of Informatics The University of Edinburgh EdinburghEH9 3JZ United Kingdom

ISBN: (纸本)0780358066

Inspired by multifunctional neural networks in biological brain, this paper is concerned with building multifunctional learning ability for artificial neural networks. A multiagent based evolutionary artificial neural network with lifetime learning (MENL) is used to learn two kinds of navigation abilities together: to explore unknown environments as far as possible and to reach designated goals in the environments. Because these two functions share the same network mechanism and the common knowledge about subject behavior decision and environmental information processing, the learning of one function can benefit the learning of another. This concept has been demonstrated by satisfactory experimental results. Detailed discussion has concluded that the strategies of evolutionary multiagents and lifetime learning used in MENL are beneficial to the successful multifunctional learning of MENL. © 1999 IEEE.

关键词： Neural networks

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Study on the horizontal fillet welding using neural networks

International Conference on Knowledge-Based Intelligent Elec...

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international Conference on Knowledge-Based Intelligent Electronic Systems, Proceedings, KES 1999年 217-221页

作者： Kang, Sung-in Kim, Gwan-hyung Lee, Sang-bae Korean Maritime Univ Korea Republic of

Generally, the weld bead shape is a serious factor of a falling-off in weld quality among various kinds of weld defect. In GMAW, weld bead shape affects a number of welding parameters including;welding current, voltage, speed and weaving length and so on. To detect weld bead shape, we select proper welding parameters in a number of factors. But we have a trouble to analyze relationship between weld bead shape and welding parameters due to non-linearity of welding process. In case of using arc sensor, thought arc sensor has signal processing problem, it is still used in the great part of the present industrial field. Because it is low cost and easily automates. As mentioned about the various difficult problems and the properties of arc sensor, in this paper, proper welding parameters were selected and weld bead shape detecting system was proposed, using neural networks which were able to identify relation between weld bead shape and the welding parameters. Also, in neural controller, the Time Delay Neural Network (TDNN) were used in this proposed neural network, due to non-linearity of welding process. Besides, in welding quality test, it is important to analyze weld bead shape. In this paper, proper welding parameters and fifteen points that represent weld bead shape were selected, and it was proposed that real-time monitoring system of weld bead shape to find effect of various welding parameters and estimate weld quality using neural network.

关键词： Neural networks

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Agent information contracts within virtual private networks 3

Agent information contracts within virtual private networks

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3rd IEEE international High-Assurance Systems Engineering symposium

作者： Aparicio, M Herman, P Stephens, W Jain, AK Singh, MP IBM Corp Knowledge Management & Intelligent Agents Res Triangle Pk NC 27709 USA

ISBN: (纸本)0818692219

Virtual Enterprises are being built on an Internet back-bone, for which security provisioning is an obvious first concern. However, additional sen,ices need provisioning as well. For instance, contracted arrangements for quality inspection, notification of delay, and other such coordinations can be provided by semi-autonomous agent-based services. We introduce information contracts, which specify the commitments of ContractAgents to each other Based on human-readable contract templates with fill-in-the-blank terms, ContractAgents manage the negotiation stage between user specialists and then operationalize and ensure these commitments during enactment. Building on the idea of agent-based sphere of commitments (SoComs) to overcome weaknesses in extended transaction processing and traditional workflow management, we show how ContractAgents also need to be positioned within the security architecture of virtual private networks. The standardization of contracts, SoCom servers, and operationalized commitments can then provide a basis for compliance checks by trusted third parties and oversight authorities.

关键词： Autonomous agents

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Fuzzy causal probabilistic networks and multisensor: Data fusion

Fuzzy causal probabilistic networks and multisensor: Data fu...

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international symposium on Multispectral Image processing and Pattern Recognition

作者： Pan, HP Okello, N McMichael, D Roughan, M Cooperat Res Ctr Sensor Signal & Informat Proc The Levels SA 5095 Australia

ISBN: (纸本)0819430064

This paper* presents the theory and formalism of fuzzy causal probabilistic networks (FCPN) and show their current and potential applications in multisensor data fusion. A fuzzy causal probabilistic network (FCPN) is a directed acyclic graph representing the joint probability distributions of a set of fuzzy random variables describing a problem domain;FCPNs extend causal probabilistic networks (CPN), also called Bayesian networks, belief networks, or influence diagrams, by associating each discrete variable with a fuzzifier and a defuzzifier, if required. A fuzzifier converts a crisp variable to a fuzzy discrete variable while a defuzzifier does the inverse. FCPNs provide a high-level generic architecture for fusing data incoming from multiple sensors. The paper also provides an overview on the held of multisensor data fusion. Airborne early warning and control using multiple sensors is studied to showcase the theory of FCPNs and their applications for multisensor data fusion.

关键词： multisource information fusion multisensor data fusion fuzzy causal probabilistic networks airborne early warning and control target tracking using radars

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A knowledge base for the optimization of parallel query execution plans 3

A knowledge base for the optimization of parallel query exec...

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3rd international symposium on Parallel Architectures, Algorithms, and networks, I-SPAN 1997

作者： Schikuta, E. Kirkovits, P. Institute of Applied Computer Science and Information Systems Department of Data Engineering University of Vienna Rathausstr. 19/4 ViennaA-1010 Austria

In this paper we present a knowledge base for the generation and optimization of query execution plans for parallel database systems. This knowledge base builds the basis of a novel extended blackboard architecture for the optimization of parallel query execution plans, which is based on a bottom-up building block approach. It allows to find (near) optimal execution plans out of a possibly huge search space in reasonable time. © 1997 IEEE.

关键词： Query processing

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