This paper describes the approach to information sharing being adopted by Synapses, a pan-European project funded under the EU Health Telematics Programme. The emphasis in Synapses is on developing standards to enable...
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This paper describes the approach to information sharing being adopted by Synapses, a pan-European project funded under the EU Health Telematics Programme. The emphasis in Synapses is on developing standards to enable sharing, in whole or in part, of electronic healthcare records between distributed healthcare providers and institutions. The current technological solutions available for data sharing, including federated database systems, gateways, data warehousing, messaging and the web are insufficient on their own to meet the needs of Synapses. Thus in Synapses several different, but complementary technologies are merged in an open, distributed object-oriented environment. Furthermore, in order to safeguard the legal, ethical and clinical integrity of the record, it is essential not only to preserve the meaning of the data being transferred, but also its context and structure. Synapses solves this problem by defining a standard architecture for the federated electronic healthcare record.
We present the results of a continuing effort towards the introduction of automatic control to the operation of cupola iron furnaces. The cupola furnace has played an important role in the foundry industry since its i...
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We present the results of a continuing effort towards the introduction of automatic control to the operation of cupola iron furnaces. The cupola furnace has played an important role in the foundry industry since its invention in 1794. The main aim of this research is to improve the operational efficiency and performance of the cupola furnace. A lumped model for the cupola is used for the controller design. The controller is divided into three parts. A feedforward controller is used to decouple the model into delayed and undelayed dynamics. A robust controller is designed for the delayed dynamics of the model based upon a combination of H/sub /spl infin// control and a Smith predictor. The controller for the undelayed portion of the model is designed using an LQR procedure.
A prototype concurrent engineering tool has been developed for the preliminary design of composite topside structures for modern navy warships. This tool, named GELS for the Concurrent engineering of Layered Structure...
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A prototype concurrent engineering tool has been developed for the preliminary design of composite topside structures for modern navy warships. This tool, named GELS for the Concurrent engineering of Layered Structures, provides designers with an immediate assessment of the impacts of their decisions on several disciplines which are important to the performance of a modern naval topside structure, including electromagnetic interference effects (EMI), radar cross section (RCS), structural integrity, cost, and weight. Preliminary analysis modules in each of these disciplines are integrated to operate from a common set of design variables and a common materials database. Performance in each discipline and an overall fitness function for the concept are then evaluated. A graphical user interface (GUI) is used to define requirements and to display the results from the technical analysis modules. Optimization techniques, including feasible sequential quadratic programming (FSQP) and exhaustive search are used to modify the design variables to satisfy all requirements simultaneously. The development of this tool, the technical modules, and their integration are discussed noting the decisions and compromises required to develop and integrate the modules into a prototype conceptual design tool.
Sliding mode control has been widely used in induction motor servo drives. It provides attractive features such as fast dynamic response, insensitivity to variations in plant parameters and external disturbance. Howev...
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ISBN:
(纸本)0780327756
Sliding mode control has been widely used in induction motor servo drives. It provides attractive features such as fast dynamic response, insensitivity to variations in plant parameters and external disturbance. However, one difficult problem, which has meant that the sliding mode controlled servo system has not yet become popular, is due to chattering. This paper presents a new fuzzy-sliding mode controller for a vector-controlled induction motor servo system not only to guarantee the stability of the system but to practically eliminate the chattering problem. The performance of the proposed system is compared with that of traditional sliding mode control and sliding mode control with boundary layer method.
A feedback technique that utilizes a special optical modulator is used to reduce the phase noise of RF signals in microwave fiber-optic links. Experimental results indicate a reduction in the phase noise of a 150 MHz ...
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A feedback technique that utilizes a special optical modulator is used to reduce the phase noise of RF signals in microwave fiber-optic links. Experimental results indicate a reduction in the phase noise of a 150 MHz signal by more than 14 dB at offset frequencies of up to 4 kHz from carrier.
This paper describes two computing paradigms known as neural computing and evolutionary computing, and their potential contribution to building intelligent software systems. The paper begins by giving a brief introduc...
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This paper describes two computing paradigms known as neural computing and evolutionary computing, and their potential contribution to building intelligent software systems. The paper begins by giving a brief introduction to the origins of each paradigm. Then two sections introduce the basic principles, and identify the role of each paradigm in intelligent system design. Each section ends with a number of applications that have been or are being investigated. These include connection admission control, modem communication, adaptive model-based control, face and handwriting recognition, frequency assignment, help-desk scheduling, financial time-series prediction, face recognition and evolving agent behavior. A section introduces the idea of using communications theory to design neural networks and the paper concludes with the authors' views on the future of neural and evolutionary computing for intelligent software systems.
The ability to determine accurate global position of a vehicle has many useful commercial and military applications. Differential Global Positioning System (DGPS) is one of the practical navigation tools used for this...
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The ability to determine accurate global position of a vehicle has many useful commercial and military applications. Differential Global Positioning System (DGPS) is one of the practical navigation tools used for this purpose. However, DGPS has limitations arising from slow updates, signal interference and limited accuracy. This paper describes how vehicle rate sensors can be used to help a DGPS overcome these limitations. The theoretical background for the sensor fusion is based on the principle of Kalman filtering and a fuzzy logic scheme. Validity of the method was examined by using experimental data from an actual automobile navigating around an urban area. The results demonstrated that the path of the automobile can be continuously traced with high accuracy and repeatability.
Accurate knowledge on the absolute or true speed of a vehicle, if and when available, can be used to enhance advanced vehicle dynamics control systems such as anti-lock brake systems (ABS) and auto-traction systems (A...
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Accurate knowledge on the absolute or true speed of a vehicle, if and when available, can be used to enhance advanced vehicle dynamics control systems such as anti-lock brake systems (ABS) and auto-traction systems (ATS) control schemes. Current conventional method uses wheel speed measurements to estimate the speed of the vehicle. As a result, indication of the vehicle speed becomes erroneous and, thus, unreliable when large slips occur between the wheels and terrain. This paper describes a fuzzy rule-based Kalman filtering technique which employs an additional accelerometer to complement the wheel-based speed sensor, and produce an accurate estimation of the true speed of a vehicle. We use the Kalman filters to deal with the noise and uncertainties in the speed and acceleration models, and fuzzy logic to tune the covariances and reset the initialization of the filter according to slip conditions detected and measurement-estimation condition. Experiments were conducted using an actual vehicle to verify the proposed strategy.
The purpose of this paper is to investigate in an infinite dimensional space, the first passage problem with a risk-sensitive performance criterion, and to illustrate the asymptotic behavior of the associated value fu...
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The purpose of this paper is to investigate in an infinite dimensional space, the first passage problem with a risk-sensitive performance criterion, and to illustrate the asymptotic behavior of the associated value function, as related to differential games arising in robust control theory. The model of interest is described by a controlled stochastic evolution with small Wiener noise intensity. The Wiener and state processes take values in infinite dimensional Hilbert spaces. The objective is to control the evolution of the state process, so as to keep it in some compact set G. By using a logarithmic transformation, it is shown that in the limit as the small noise parameter, /spl epsiv//spl rarr/0, the risk-sensitive value function converges to the value of a deterministic differential game. In the limit as the risk parameter, /spl theta//spl rarr/0, the risk-sensitive value function converges to the value function corresponding to the mean escape time problem. In addition, a lower bound on the first escape time is derived which is slightly different from the known bound for finite dimensional systems. The magnitude of the lower bound derived here, increases as /spl theta/ increases, thus robustness is achieved.
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