Semantic web technologies are a key enabler for future information systems. The concept of Linked Data allows flexible inter-organizational collaboration and dynamic data integration. It surpasses the limitations of p...
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ISBN:
(纸本)9781467346566
Semantic web technologies are a key enabler for future information systems. The concept of Linked Data allows flexible inter-organizational collaboration and dynamic data integration. It surpasses the limitations of prevalent relational databases and proprietary access technologies. RFID, on the other hand, has been successfully applied to integrate physical artifacts into complex information systems. It allows the identification of artifacts by a unique identifier leveraging concepts such as the Internet of Things. Using the existing RFID ecosystem as universal entry point to Linked Data clouds makes it possible to connect the semantic description of the real world with the physical artifacts within this world. This provides new ways of merging and exploring real and virtual content. This paper presents an approach for using RFID as universal entry point to Linked Data clouds for task-driven and context-aware mobile support systems.
On current automation systems a device failure might lead to significant down times of a plant as well as man power to replace and - more important - to setup the replacement device. Since the physical replacement can...
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On current automation systems a device failure might lead to significant down times of a plant as well as man power to replace and - more important - to setup the replacement device. Since the physical replacement can't be circumvented, the setup procedure could be automatized as much as possible. This paper shows an approach based on a new automation system designed as a service-oriented architecture (SOA). Advantages of this service-orientation for the automation environment are described in detail. The presented choreography of services yields to a flexible, dynamic and scalable system like it is well known for today's distributed, information technology systems - e.g. grid computing. This approach is applied to the self-configuration scenario as a demonstration of the benefits and chances, which could be achieved by modeling automation systems based on the SOA principle. A prototype realizes the presented service-choreography using real-world's automation components.
作者：
F.L. LewisDept. of Electical Engineering
The University of Texas at Arlington U.S.A. F. L. Lewis was born in Wärzburg. Germany
subsequently studyning in Chile and Goruonstoun School in Scotland. He obtained the Bachelor's Degree in Physics/Electrical Engineering and the Master's of Electrical Engineering Degree at Rice University in 1971. He spent six years in the U.S. navy serving as Navigator aboard the frigate USS Trippe (FF-1075) and Executive Officer and Acting Commanding Officer aboard USS Salinan (ATF-161). In 1977 he received the Master's of Science in Aeronautical Engineering from the University of West Florida. In 1981 he obtained the Ph.D. degree at The Georgia Institute of Technology in Atlanta where he was employed as a professor from 1981 to 1990 and is currently an Adjunct Professor. He is a Professor of Electrical Engineering at The University of Texas at Arlington where he was awarded the Moncrief-O'Donnell Endowed Chair in 1990 at the Automation and Robotics Research Institute. Dr. Lewis has studied the geometric analytic and structural properties of dynamical systems and feedback control automation. His current interests include robotics intelligent control neural and fuzzy systes nonlinear systems and manufacturing process control. He is the author/co-author of 2 U.S. patents 124 journal papers 20 chapters and encyclopedia articles 210 refereed conference papers seven books: Optimal Control Optimal Estimation Applied Optimal Control and Estimation Aircraft Control and Simulation Control of Robot Manipulators Neural Network Control High-Level Feedback Control with Neural Networks and the IEEE reprint volume Robot Control. Dr. Lewis is a registered Professional Engineer in the State of Texas and was selected to the Editorial Boards of International Journal of Control Neural Computing and Applications and Int. J. Intelligent Control Systems. He is the recipient of an NSF Research Initiation Grant and has been continuously funded by NSF since 1982. Since 1991 he has received $1.8 m
A framework is given for controller design using Nonlinear Network Structures, which include both neural networks and fuzzy logic systems. These structures possess a universal approximation property that allows them t...
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A framework is given for controller design using Nonlinear Network Structures, which include both neural networks and fuzzy logic systems. These structures possess a universal approximation property that allows them to be used in feedback control of unknown systems without requirements for linearity in the system parameters or finding a regression matrix. Nonlinear nets can be linear or nonlinear in the tunable weight parameters. In the latter case weight tuning algorithms are not straightforward to obtain. Feedback control topologies and weight tuning algorithms are given here that guarantee closed-loop stability and bounded weights. Extensions are discussed to force control, backstepping control, and output feedback control, where dynamic nonlinear nets are required.
Reduced manning is the process (and the result) of removing human functions from a system while retaining or improving system operability and effectiveness. Reliability and maintainability characterize a system's ...
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Reduced manning is the process (and the result) of removing human functions from a system while retaining or improving system operability and effectiveness. Reliability and maintainability characterize a system's operability and effectiveness. Reduced manning impacts system reliability by changing the characteristics of (1) human error associated with system operation and maintenance, (2) time to repair failed components, and (3) mean-time-between-failures (MBTF) in a reduced manning environment. Simply reducing manning without compensating for system dependence on human involvement generally has a negative impact on system maintainability. Methods to address this include (1) human-system integration design of maintenance interfaces and (2) design of operations activities that are closely related to device failures. After demonstrating reliable performance through testing and operation, ship commanders can be assured that fewer people can effectively operate and maintain Navy ships and systems.
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