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Frontiers in Education (FIE) Conference

作者： B.P. Woolf C. Poli I. Grosse E. Haugsjaa B. Riggs Department of Computer Science Center for Knowledge Communication Belgium Department of Mechanical and Industrial Engineering College of Engineering University of Massachusetts Amherst MA USA

Our group at the University of Massachusetts has built design for manufacturing (DFM) computer modules which instruct students on efficient procedures for designing parts for manufacture. The goal is to assist engineering students to gain a deeper understanding of the interaction between features of a part being designed and the corresponding manufacturing requirements of the part in the domains of injection molding and sheet metal stamping. We provide animated sequences of the processes indexed according to the possible designs. The tutors allow students to select a restricted set of parts for manufacture and demonstrate the tooling complexity through both 2D animations and 3D animations. An underlying internal representation of the part being designed provides a non-intrusive critique mechanism to provide feedback to the student.

关键词： Design engineering Animation computer aided manufacturing engineering students Injection molding Feedback knowledge engineering Manufacturing automation Power engineering and energy Wool

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PPD: A practical parallel loop detector for parallelizing compilers

PPD: A practical parallel loop detector for parallelizing co...

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International Conference on Parallel and Distributed Systems (ICPADS)

作者： Cheng-Tien Wu Chao-Tung Yang Shian-Shyong Tseng Knowledge Engineering and Programming Language LaboratoryDepartment of Computer & Information Science Natíonal Chiao-Tung University Hsinchu Taiwan Department of Computer and Onformation Science at National Chiao Tung University Hsinchu Taiwan

ISBN: (纸本)0818672676

It is well known that extracting parallel loops plays a significant role in designing parallelizing compilers. The execution efficiency of a loop is enhanced when the loop can be executed in parallel or partial parallel, like a DOALL or DOACROSS loop. This paper reports on the practical parallelism detector (PPD) that is implemented in PFPC (a portable FORTRAN parallelizing compiler running on OSF/1) at NCTU to concentrate on finding the parallelism available in loops. The PPD can extract the potential DOALL and DOACROSS loops in a program by invoking a combination of the ZIV test and the I test for verifying array subscripts. Furthermore, if DOACROSS loops are available, an optimization of synchronization statement is made. Experimental results show that PPD is more reliable and accurate than previous approaches.

关键词： Detectors Equations Information science Parallel processing System testing Program processors Chaos knowledge engineering computer languages Concurrent computing

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Using genetic algorithms with grammar encoding to generate neural networks

Using genetic algorithms with grammar encoding to generate n...

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International Conference on Neural Networks

作者： E. Vonk L.C. Jain R. Johnson Control Systems and Computer Engineering Group (BSC) Department of Electrical Engineering University of Twente Netherlands Knowledge-based Engineering Systems Group School of Electronic Engineering University of South Australia Adelaide Australia Weapons Systems Division Defence Science and Technology Organisation Adelaide Australia

Kitano's approach to neural network design is extended in the sense that not just the neural network structure, but also the values of the weights are coded in the chromosome. Experimental results are presented de... 详细信息

关键词： Genetic algorithms Encoding Neural networks Biological cells knowledge engineering Systems engineering and theory Control systems Weapons Australia Testing

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Automatic generation of a neural network architecture using evolutionary computation

Automatic generation of a neural network architecture using ...

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Electronic Technology Directions to the Year 2000

作者： E. Vonk L.C. Jain L.P.J. Veelenturf R. Johnson Control Systems and Computer Engineering Group BSC Laboratory for Network Theory Department of Electrical Engineering University of Twente Enschede Netherlands Knowledge-based Engineering System Group School of Electronic Engineering University of South Australia Adelaide Australia Weapons Systems Division Defence Science and Technology Organisation Salisbury SA Australia

This paper reports the application of evolutionary computation in the automatic generation of a neural network architecture. It is a usual practice to use trial and error to find a suitable neural network architecture. This is not only time consuming but may not generate an optimal solution for a given problem. The use of evolutionary computation is a step towards automation in architecture generation. In this paper a brief introduction to the field is given as well as an implementation of automatic neural network generation using genetic programming.< >

关键词： Neural networks computer architecture Evolutionary computation Genetic programming Network topology Genetic algorithms Biological cells Systems engineering and theory knowledge engineering Australia

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New hyper-distributed hyper-parallel AI approach based on chaotic bifurcations and synchronizations

New hyper-distributed hyper-parallel AI approach based on ch...

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International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI)

作者： Dianxun Shuai Y. Watanabe Department of Computer Science and Technology Xi''an University of Electronical Science and Technology Xi'an Shaanxi China Department of Knowledge Engineering and Computer Science Faculty of Engineering Doshisha University Kyoto Japan

For problem solving in the artificial intelligence, this paper presents a new hyper-distributed hyper-parallel approach based on the bifurcations and synchronizations of the hierarchical distributed chaotic dynamic systems. By using Chua's circuits arrays, the realization of the hyper-distributed hyper-parallel heuristic algorithms for real-time search of any implicit AND/OR graph is discussed. The approach not only combines the advantages of both the traditional sequential symbolic logic and the conventional neural network approaches, but also overcomes their drawbacks in many respects.< >

关键词： Artificial intelligence Chaos Bifurcation Neural networks knowledge engineering computer science Problem-solving Circuits Heuristic algorithms Logic

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A standard simulation environment: a review of preliminary requirements 94

A standard simulation environment: a review of preliminary r...

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Simulation Winter Conference

作者： M.A.F. Wagner S. Sevinc O. Tanir P.L. Haigh J.D. Arthur R.E. Nance H.D. Schwetman SysTech Software Solutions Annandale VA USA Knowledge Systems Group Basser University of Sydney Australia Quality Engineering and Research (QER) Group Longueuil QUE Canada High Performance Software Inc. Dayton OH USA Systems Research Center Department of Computer Science Virginia Polytechnic Institute and State University Blacksburg VA USA Mesquite Software Inc. Austin TX USA

ISBN: (纸本)9780780321090

The concept of a simulation environment combines different aspects of the simulation process into one complete powerful tool. The environment should provide the necessary state-of-the-art advances and concepts that a modeler may require during the simulation development and execution process. The "environment" requirements must address the end user needs while minimizing the necessity of learning a new language. The requirements must specify the useful features, independent of different platforms and implementation languages. Hence the opportunity exists for standardization of environments. The paper opens a discussion on challenges and rewards awaiting the simulation community with the advent of a standard environment.

关键词： Power system modeling Computational modeling computer simulation Standardization knowledge based systems Australia knowledge engineering Software performance Drives computer science

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INTEGRATING knowledge-BASED SYSTEMS AND DATABASES

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CLINICA CHIMICA ACTA 1993年第1-2期222卷 101-115页

作者： GRIMSON, JB Knowledge and Data Engineering Group Department of Computer Science Trinity College Dublin 2 Ireland

In recent years, there has been an explosion of interest among the computing community in the field of artificial intelligence, particularly in the areas of natural language processing and knowledge-based systems (KBS). The medical domain has seen the development of hundreds of KBSs and there is substantial evidence to show that the application of a knowledge-based approach to decision support can go a long way towards overcoming the information overload experienced by many clinicians today. Yet many of these medical KBSs are still at the prototype stage and are mainly confined to research laboratories. There are many reasons for this apparently slow take-up of the technology, but one of the most significant is the lack of integration into the regular routine information processing of the organisation, in particular the database processing. This paper discusses the benefits of such integration and methods for achieving it in the context of general trends in information systems. Database technology provides efficient and secure management of large amounts of data in a multi-user, multiapplication environment. knowledge-based technology, on the other hand, provides mechanisms for building intelligent systems. Thus, for example, given a set of facts about a domain (symptoms, laboratory test results, etc.) together with a set of rules which apply to that domain (e.g.'if TT4 > 150 nmol/l then suspect hyperthyroidism'), a KBS can deduce new information about that domain automatically. The effective integration of these two technologies is seen as a means of achieving the intelligent information systems of the future. There are three basic approaches to integrating KBSs and databases. The first is to start with the KBS and incorporate data management functions. Alternatively, intelligence from the KBS can be incorporated into the database. Finally, the two systems can be allowed to coexist as independent systems which can talk to each other by means of standard interfaces.

关键词： DATABASE MANAGEMENT knowledge-BASED SYSTEMS EXPERT SYSTEMS

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QStruc. An approach for qualitative structural analysis

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Computing Systems in engineering: An International Journal 1993年第2-3期4卷 147-147页

作者： Fruchter, R. Law, K.H. Iwasaki, Y. Center for Integrated Facility Engineering Department of Civil Engineering Stanford University Stanford U.S.A. Department of Civil Engineering Stanford University Stanford U.S.A. Knowledge System Laboratory Department of Computer Science Stanford University Stanford U.S.A.

Understanding the behavior of a structure and its components in the preliminary design phase is important since decisions made at this time can have a significant influence on the quality of the final design. It can also potentially reduce the number of alternative solutions and avoid costly design revisions. However, there are few tools available for modeling of a structure and performing qualitative analysis and interpretation of a conceptual design. We describe a framework QStruc for qualitative structural analysis which combines first principles in structural engineering and experimental knowledge of structural behavior. The purpose of QStruc is to generate refined qualitative models and to infer the qualitative response of a given preliminary structure. The results are expressed by qualitative deflected shape, moments and reactions. The proposed qualitative analysis strategy is a “greedy” depth-first algorithm that tries to expand the response of behavior as much as possible from known parameter values. This strategy makes use of a causal ordering mechanism, qualitative calculus and Quantity Lattice (R. Simmons, “Commonsense arithmetic reasoning” in Proceedings of the AAAI86 , pp. 118–124, Morgan Kaufmann, San Mateo, California, 1986) to reason about partial ordering among physical parameters.

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Efficient postprocessing algorithms for error correction in handwritten Hangul address and human name recognition

Efficient postprocessing algorithms for error correction in ...

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International Conference on Document Analysis and Recognition

作者： S.-W. Lee E.-S. Kim B.-W. Min Department of Computer Science Chungbuk National University Cheonghu Chungbuk South Korea Knowledge-Based Systems Laboratory Systems Engineering Research Institute Daejeon South Korea

Proposes efficient postprocessing algorithms for error correction in handwritten Hangul (Korean script) address and human name recognition. As the load on the character recognizer for the recognition of the administrative district part in addresses was reduced by restricting the candidate characters to be matched based on a hierarchical address lexicon, the processing speed and recognition rate were greatly improved. Also, the misrecognition results from the character recognizer were corrected by using efficient postprocessing algorithms based on backtracking. For the recognition of the human name part, misrecognition of human names could be effectively corrected by combining the a priori probability and the confusion probability of each character making up the human names.< >

关键词： Error correction Humans Character recognition Handwriting recognition Buildings Character generation Cities and towns computer science knowledge based systems Laboratories

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Preface

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in computer science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 1993年 689 LNAI卷 V-VI页

作者： Komorowski, Jan Raś, Zbigniew W. Knowledge Systems Group Faculty of Computer Science and Electrical Engineering The Norwegian Institute of Technology The University of Trondheim TrondheimN-7034 Norway Department of Computer Science University of North Carolina CharlotteNC28223 United States

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