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International Conference on Quality Software

作者： Wei Qi Cao Juan Zi Li Ke Hong Wang Tao Zeng Knowledge Engineering Group The Department of Computer Science and Technology Tsinghua University Beijing China

ISBN: (纸本)0769520154

In this paper, we explored the various complicated e-commerce applications enhanced by loosely coupled asynchronous communication. And then, we put forward the automatic modeling of e-commerce based on the server-side component models. It fully leverages the various features of the underlying middleware services and meanwhile combines the dynamic modeling and coordination feature of workflow with the auto-generation and logic integration of the components. It realizes the faster development of workflow management system and also satisfies the demand of swift flexibility and extensibility on the business logic.

关键词： Asynchronous communication Logic Electronic commerce Middleware Workflow management software Information technology Java Application software knowledge engineering computer science

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Genetic algorithms optimization of diesel engine emissions and fuel efficiency with air swirl, EGR, injection timing and multiple injections

Genetic algorithms optimization of diesel engine emissions a...

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2003 JSAE/SAE International Spring Fuels and Lubricants Meeting

作者： Hiroyasu, Hiro Miao, Haiyan Hiroyasu, Tomo Miki, Mitunori Kamiura, Jiro Watanabe, Sinya Research Institute of Industrial Technology Kinki University Takaya Umenobe Higashi-Hiroshima 739-2116 Japan Department of Knowledge Engineering and Computer Science Doshisha University 1-3 Tatara Miyakodani Kyotanabe-shi Kyoto 610-0321 Japan

The present study extends the recently developed HIDECS-GA computer code to optimize diesel engine emissions and fuel economy with the existing techniques, such as exhaust gas recirculation (EGR) and multiple injections. A computational model of diesel engines named HIDECS is incorporated with the genetic algorithm (GA) to solve multi-objective optimization problems related to engine design. The phenomenological model, HIDECS code is used for analyzing the emissions and performance of a diesel engine. An extended Genetic Algorithm called the 'Neighborhood Cultivation Genetic Algorithm' (NCGA) is used as an optimizer due to its ability to derive the solutions with high accuracy effectively. In this paper, the HIDECS-NCGA methodology is used to optimize engine emissions and economy, simultaneously. The multiple injection patterns are included, along with the start of injection timing, and EGR rate. It is found that the combination of HIDECS and NCGA is efficient and low in computational costs. The Pareto optimum solutions obtained from HIDECS-NCGA are very useful to the engine designers. They show that it is possible to reduce emissions without increasing the fuel consumption by the optimization of exhaust gas recirculation (EGR) and multiple injections. Copyright © 2003 Society of Automotive Engineers of Japan, Inc.

关键词： Genetic algorithms

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FReCon: A fluid remote controller for a FReely connected world in a ubiquitous environment

FReCon: A fluid remote controller for a FReely connected wor...

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作者： Sanguinetti, Alexandre Haga, Hirohide Funakoshi, Aya Yoshida, Atsushi Matsumoto, Chiho Department of Knowledge Engineering and Computer Science Doshisha University 1-3 Miyakotani Tatara Kyotanabe Japan Institut Franco-Japonais du Kansai Kyoto Japan OMRON Corp. Kyoto Japan Hitachi Systems and Services Ltd. Osaka Japan

In this paper, we propose a Fluid Remote Controller, a general-purpose remote controller based on the ubiquitous computing view. FReCon offers remote control features over a wide range of appliances located within a room, with a unique controller implemented on portable devices like PDAs, handheld PCs, mobile phones, etc. More than the controller itself, FReCon means the whole FReely Connected world in which FReCon-enabled users and appliances interact: though acting naturally, the user can freely connect to the desired appliance, control it, disconnect from it and start communicating with another. A prototype implementation in the form of a smart TV remote controller is also described. This simple prototype makes it possible to understand the validity and the limits of our view, and give clues for further improvements. © Springer-Verlag London Limited 2003.

关键词： Domestic appliances

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Rainbow - multiway semantic analysis of Web sites

Rainbow - multiway semantic analysis of Web sites

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International Workshop on Database and Expert Systems Applications

作者： V. Svatek J. Kosek M. Labsky J. Braza M. Kavalec M. Vacura V. Vavra V. Snasel Department of Information and Knowledge Engineering University of Economics Prague Czech Republic Department of Computer Science Technical University Ostrava Czech Republic

The Rainbow project aims at the development of a reusable, modular architecture for web (particularly, website) analysis. Individual knowledge-based modules separately analyse different types of web data and communicate the results via web-service interface. The output of analysis has the form of classes (of web resources) predefined in an ontology, extracted text, and/or addresses of retrieved web resources. Within the project, several original methods of analysis as well as (analytic) knowledge acquisition have been developed. The current domains of investigation are sites of small organisations offering products or services, and pornography sites. The paper is the first systematic overview of diverse methods developed or envisaged in Rainbow.

关键词： Data mining HTML Ontologies Semantic Web Uniform resource locators Companies Databases Topology knowledge engineering computer science

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Strategically migrating agents in itinerary graph

Strategically migrating agents in itinerary graph

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： Bo Yang Da-You Liu Kun Yang Sheng-Sheng Wang College of Computer Science and Technology Open Symbol Computation and Knowledge Engineering Laboratory of State Education Department Jilin University China

ISBN: (纸本)0780378652

Mobile agent need migrate to several hosts for accomplishing its task. Migration strategy is responsible for planning out an optimal migration path, which ensures mobile agent to complete its task correctly and efficiently at the minimum cost. The paper introduces the concept of itinerary graph and presents three migration strategies based on it. Itinerary graph not only describes the migration semantics of mobile agent but also reflects the changes of software and hardware environment where mobile agent lives. During its travel, mobile agent equipped with itinerary graph perceives these changes, react quickly, modify its migration path autonomously and accomplish its task according to certain specified criterions, which embody the reactivity and autonomy of agent. Besides improving the efficiency, these migration strategies enhances the performance of mobile agent system because they avoid migration failure resulted from network disconnection or node crashing.

关键词： Mobile agents File servers Path planning Strategic planning Cost function Distributed computing Educational institutions computer science Educational technology knowledge engineering

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Scaleable GIS data transmission and visualisation

Scaleable GIS data transmission and visualisation

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International Conference on Information Visualisation (IV)

作者： J. Komzak P. Slavik Knowledge Media Institute Open University Milton Keynes UK Department of Computer Science and Engineering Czech Technical University Prague Czech Republic

Distributed geographic information systems typically handle large amounts of data; therefore the transmission and visualisation techniques used need to be scaleable to provide quick, interactive feedback. We introduce such techniques based on the data hierarchy (levels of detail). Namely, we describe focus-and-context visualisation and progressive transmission. The main aim is to discuss the combination of these techniques for different data types and for mixture of these data types.

关键词： Geographic Information Systems Data communication Data visualization Displays Focusing Feedback Bandwidth computer science Data engineering knowledge engineering

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Resource-oriented scheduling for real world manufacturing systems

Resource-oriented scheduling for real world manufacturing sy...

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IEEE International Symposium on Assembly and Manufacturing (ISAM)

作者： A. Madureira C. Ramos S.C. Silva GECAD-Knowledge Engineering and Decision Support Research Group Department of Computer Science Institute of Engineering-Polytechnic of Porto Porto Portugal Department of Production and Systems Minho University Braga Portugal

Scheduling algorithms that achieve good or near optimal solutions and can efficiently adapt them to perturbations are, in most cases, preferable to those that achieve optimal ones but that cannot implement such an adaptation. In fact, in real world, where problems are essentially of dynamic and stochastic nature, these methods or algorithms are of very little use. This is the case with most algorithms for solving the so-called static scheduling problem for different setting of both single and multi-machine systems arrangements. This paper is concerned with a scheduling system, based on Genetic Algorithms, for the resolution of the dynamic version of the same problem. An additional constraint will be considered in our approach for the JSSP, the existence of different job release and due dates and different assembly levels for the jobs.

关键词： Job shop scheduling Manufacturing systems Dynamic scheduling Assembly knowledge engineering Scheduling algorithm Processor scheduling computer science Production systems Stochastic processes

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Simultaneous manufacturing in batch production

Simultaneous manufacturing in batch production

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IEEE International Symposium on Assembly and Manufacturing (ISAM)

作者： A. Almeida C. Ramos S. do Carmo Silva GECAD-Knowledge Engineering and Decision Support Research Group Department of Computer Science Institute of Engineering-Polytechnic of Porto Porto Portugal Department of de Production and Systems Minho University Braga Portugal

This paper is concerned with the implementation of Simultaneous Manufacturing philosophy in batch production of job-shop like manufacturing systems. It addresses the processing of jobs, either simple, requiring the manufacture of a batch of parts, i.e. simple products, or complex, comprehending the parts fabrication and their multistage assembly into a batch of products. In this work the simultaneous manufacturing philosophy was implemented through the widespread use of batch overlapping, which proved particularly effective in reducing job throughput time, maintaining operating simplicity and requiring reduced coordination.

关键词： Manufacturing processes Throughput Assembly Job production systems Samarium knowledge engineering Batch production systems Manufacturing industries Job shop scheduling Processor scheduling

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A Statistical Model for Automatic Extraction of Korean Transliterated Foreign Words

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International Journal of computer Processing of Languages 2003年第1期16卷 41-62页

作者： JONG-HOON OH KEY-SUN CHOI Computer Science Division Department of EECS Korea Terminology Research Center for Language and Knowledge Engineering (KORTERM) Korea Advanced Institute of Science and Technology (KAIST) 373-1 Kusong-Dong Yusong-Gu Taejon 305-701 Korea

In this paper, we will describe a Korean transliterated foreign word extraction algorithm. In the proposed method, we reformulate the foreign word extraction problem as a syllable-tagging problem such that each syllable is tagged with a foreign syllable tag or a pure Korean syllable tag. Syllable sequences of Korean strings are modelled by Hidden Markov Model whose state represents a character with binary marking to indicate whether the syllable is part of a transliterated foreign word or not. The proposed method extracts a transliterated foreign word with high recall rate and precision rate. Moreover, our method shows good performance even with small-sized training corpora.

关键词： Transliteration Hidden Markov Model Syllable Tagging Korean Transliterated Foreign Word Cross Lingual Information Retrieval

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Speeding up fuzzy clustering with neural network techniques

Speeding up fuzzy clustering with neural network techniques

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： C. Borgelt R. Kruse Research Group Neural Networks and Fuzzy Systems Department of Knowledge Processing and Language Engineering School of Computer Science Otto-von-Guericke University of Magdeburg Germany

We explore how techniques that were developed to improve the training process of artificial neural networks can be used to speed up fuzzy clustering. The basic idea of our approach is to regard the difference between two consecutive steps of the alternating optimization scheme of fuzzy clustering as providing a gradient, which may be modified in the same way as the gradient of neural network back-propagation is modified in order to improve training. Our experimental results show that some methods actually lead to a considerable acceleration of the clustering process.

关键词： Fuzzy neural networks Neural networks Artificial neural networks Backpropagation Fuzzy systems knowledge engineering computer science Electronic mail Acceleration Multilayer perceptrons

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