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IEEE International Conference on systems, Man and Cybernetics

作者： Wei Dai D.M. Zhang J.R. Crawford CSIRO Division of Building Construction and Engineering Artificial Intelligent Laboratory VIC Australia Knowledge-based Systems Group CSIRO Division of Information Technology Australia

This paper focuses on intelligent management and use of a multimedia building-product database through coupling knowledge-based system components with database development templates. We present a practical approach using construction building product information as an example to show how an industrial product database may be developed and managed by a knowledge-based system. Distinctions with conventional building product management and intelligent management are discussed. Significance of the impact of such an approach on the integrated design process is analysed in detail.

关键词： Deductive databases intelligent structures Buildings knowledge based systems Construction industry Artificial intelligence Multimedia databases Manufacturing Companies Australia

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CAD/CAM integration via skeleton-based modeling

CAD/CAM integration via skeleton-based modeling

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IEEE International Conference on systems, Man, and Cybernetics, SMC 1992

作者： Lee, Ta-Chih Chu, Chong-Nam Kashyap, Rangasami L. Engineering Research Center for Intelligent Manufacturing Systems Knowledge-Based Systems Lab. School of Electrical Engineering Purdue University West LafayetteIN47907 United States Engineering Research Center for Intelligent Manufacturing Systems School of Industrial Engineering Purdue University West LafayetteIN47907 United States

ISBN: (纸本)0780307208

In this paper, we present an efficient parallel thinning algorithm for extracting both the medial surface and the medial axis (skeleton) of a three-dimensional (3-D) object constructed using a geometric solid modeler. First, the object is converted into its voxel model using a ray tracing and a filling scheme. A new Euler table is derived to ensure the invariance of Euler characteristic. An octree data structure of 3×3×3 lattice points Is constructed to examine the local connectivity. By preserving the Euler characteristic and the connectivity, our algorithm drastically reduces noisy branches in the skeleton. Pre- and postprocessors are used to remove additional noise spurs. A noise-free skeleton model is constructed. The constructed model has useful applications in linking CAD and CAM such as in casting and forging defect analysis. © 1992 IEEE.

关键词： Computer aided design

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CAD/CAM integration via skeleton-based modeling

CAD/CAM integration via skeleton-based modeling

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IEEE International Conference on systems, Man and Cybernetics

作者： T.-C. Lee C.-N. Chu R.L. Kashyap Engineering Research Center for Intelligent Manufacturing Systems Knowledge-Based Systems Laboratory School of Electrical Engineering Purdue University West Lafayette IN USA Engineering Research Center for Intelligent Manufacturing Systems School of Industrial Engineering Purdue University West Lafayette IN USA

The authors present an efficient parallel thinning algorithm for extracting both the medial surface and the medial axis (skeleton) of a three-dimensional object constructed using a geometric solid modeler. First, the object is converted into its voxel model using a ray tracing and filling scheme. A new Euler table is derived to ensure the invariance of the Euler characteristic. An octree data structure of 3*3*3 lattice points is constructed to examine the local connectivity. By preserving the Euler characteristic and the connectivity, the algorithm drastically reduces noisy branches in the skeleton. Pre- and post-processors are used to remove additional noise spurs. A noise-free skeleton model is constructed. The model has useful applications in linking CAD and CAM such as in casting and forging defect analysis.< >

关键词： Computer aided manufacturing CADCAM Skeleton Solid modeling Ray tracing Filling Data structures Lattices Noise reduction Joining processes

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Symbolic representation of three-dimensional objects to aid local and global shape analysis for defect prediction of casting design

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Applied Intelligence 1991年第2期1卷 99-120页

作者： You, I.C. Chu, C.N. Kashyap, R.L. Engineering Research Center for Intelligent Manufacturing Systems Purdue University West Lafayette 47907 Indiana United States Knowledge-Based Systems Lab. School of Electrical Engineering Purdue University West Lafayette 47907 Indiana United States Engineering Research Center for Intelligent Manufacturing Systems Purdue University West Lafayette 47907 Indiana United States School of Industrial Engineering Purdue University West Lafayette 47907 Indiana United States Engineering Research Center for Intelligent Manufacturing Systems Purdue University West Lafayette 47907 Indiana United States Knowledge-Based Systems Lab. School of Electrical Engineering Purdue University West Lafayette 47907 Indiana United States

Part descriptions of a 3-D computer-aided design model are in a form of basic geometry and topology to which manufacturing process and engineering analysis cannot be directly applied. A formalism for symbolic representation of a three-dimensional pattern model is presented to aid local and global shape analysis of casting design. Local shape analysis is carried out based on symbolic representation and global shape analysis is performed by analyzing the extracted skeleton from a discretized object. The purpose of local shape analysis is to reason about local shape characteristics so as to alter the design to obey casting requirement. On the other hand, the purpose of global shape analysis is to locate and measure global shape characteristics, thus allowing the system to aid the decision making process in evaluating the global casting soundness. The main aim of developing an expert system for casting design is to provide the casting designer with a tool for on-line manufacturability evaluation of a part design while the functional design is being performed. This paper explains the basic concepts of the three-dimensional pattern model and describes its use for castability evaluation of casting design. An implementation of the algorithms and examples are provided. © 1991 Kluwer Academic Publishers.

关键词： Casting design feature pattern model skeleton extraction

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knowledge-based Equation Discovery in engineering Domains 8

Knowledge-Based Equation Discovery in Engineering Domains

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8th International Workshop on Machine Learning, ICML 1991

作者： Rao, R. Bharat Lu, Stephen C-Y. Stepp, Robert E. Electrical Engineering University of Illinois Urbana United States Mechanical Engineering University of Illinois Urbana United States Intelligent Information Technologies Corp. Champaign United States The Knowledge-Based Engineering Systems Research Laboratory The Beckman Institute University of Illinois Urbana United States

ISBN: (纸本)1558602003

Machine learning techniques that can compress datasets into relationships that underlie the data have great utility for engineers. Most model discovery systems are not well suited to discovering comprehensible models in engineering domains. In this paper we present KEDS, a knowledge-based Equation Discovery System, which uses a model-driven approach to discover equations and thereby build models from engineering data. © ICML *** rights reserved

关键词： Learning systems

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ROLE OF SIMULATION IN RAPID PROTOTYPING FOR CONCEPT DEVELOPMENT

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NAVAL ENGINEERS JOURNAL 1991年第3期103卷 204-211页

作者： KING, JF BARTON, DE J. Fred King:is the manager of the Advanced Technology Department for Unisys in Reston Virginia. He earned his Ph.D. in mathematics from the University of Houston in 1977. He has been principal investigator of research projects in knowledge engineering pattern recognition and heuristic problem-solving. Efforts include the development of a multi-temporal multispectral classifier for identifying graincrops using LANDSAT satellite imagery data for NASA. Also as a member of the research team for a NCI study with Baylor College of Medicine and NASA he helped develop techniques for detection of carcinoma using multispectral microphotometer scans of lung tissue. He established and became technical director of the AI Laboratory for Ford Aerospace where he developed expert scheduling modeling and knowledge acquisition systems for NASA. Since joining Unisys in 1985 he has led the development of object-oriented programming environments blackboard architectures data fusion techniques using neural networks and intelligent data base systems. Douglas E. Barton:is manager of Logistics Information Systems for Unisys in Reston Virginia. He earned his B.A. degree in computer science from the College of William and Mary in 1978 and did postgraduate work in London as a Drapers Company scholar. Since joining Unisys in 1981 his work has concentrated on program management and software engineering of large scale data base management systems and design and implementation of knowledge-based systems in planning and logistics. As chairman of the Logistics Data Subcommittee of the National Security Industrial Association (NSIA) he led an industry initiative which examined concepts in knowledge-based systems in military logistics. His responsibilities also include evaluation development and tailoring of software engineering standards and procedures for data base and knowledge-based systems. He is currently program manager of the Navigation Information Management System which provides support to the Fleet Ballistic Missile Progr

A valuable technique during concept development is rapid prototyping of software for key design components. This approach is particularly useful when the optimum design approach is not readily apparent or several known alternatives need to be rapidly evaluated. A problem inherent in rapid prototyping is the lack of a "target system" with which to interface. Some alternatives are to develop test driver libraries, integrate the prototype with an existing working simulator, or build one for the specific problem. This paper presents a unique approach to concept development using rapid prototyping for concept development and scenario-based simulation for concept verification. The rapid prototyping environment, derived from artificial intelligence technology, is based on a blackboard architecture. The rapid prototype simulation capability is provided through an object-oriented modeling environment. It is shown how both simulation and blackboard technologies are used collectively to rapidly gain insight into a tenacious problem. A specific example will be discussed where this approach was used to evolve the logic of a mission controller for an autonomous underwater vehicle.

关键词： Military engineering

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Security audit trail analysis using inductively generated predictive rules

Security audit trail analysis using inductively generated pr...

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Conference on Artificial Intelligence for Applications

作者： H.S. Teng K. Chen S.C. Lu Applied Intelligent Systems Group Digital Equipment Corporation MA USA Department of Mechanical and Industrial Engineering of Illinois at Urbana-Champaign Knowledge-Based Engineering Systems Research Laboratory Urbana IL USA

A time-based inductive learning approach to security audit trail analysis is presented. The approach uses a time-based inductive engine to generate rule-based sequential patterns that characterize the behavior of a user. The time-based inductive approach substantially increases the discriminating capability of an anomaly detection system due to the added dimension of information given in the sequential relationships between security events. It is shown that the use of rule-based sequential patterns allows a security auditing system to capture characteristics of user behavior that may be otherwise intractable using traditional statistical approaches. The approach also may help security management to focus on a few potentially hostile security events inside an entire user log-in session.< >

关键词： Information security Computer security Protection Data security Manufacturing automation intelligent systems knowledge engineering systems engineering and theory Laboratories Industrial engineering

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Adaptive real-time anomaly detection using inductively generated sequential patterns

Adaptive real-time anomaly detection using inductively gener...

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IEEE Computer Society Symposium on Research in Security and Privacy

作者： H.S. Teng K. Chen S.C. Lu Applied Intelligent Systems Group Digital Equipment Corporation MA USA Knowledge-Based Engineering Systems Research Laboratory Department of Mechanical and Industrial Engineering University of Illinois Urbana-Champaign Urbana IL USA

A time-based inductive learning approach to the problem of real-time anomaly detection is described. This approach uses sequential rules that characterize a user's behavior over time. A rulebase is used to store patterns of user activities, and anomalies are reported whenever a user's activity deviates significantly from those specified in the rules. The rules in the rulebase characterize either the sequential relationships between security audit records or the temporal properties of the records. The rules are created in two ways: they are either dynamically generated and modified by a time-based inductive engine in order to adapt to changes in a user's behavior, or they are specified by the security management to implement a site security policy. This approach allows the correlation between adjacent security events to be exploited for the purpose of greater sensitivity in anomaly detection against seemingly intractable (or erratic) activities using statistical approaches. Real-time detection of anomaly activities is possible.< >

关键词： Data security Information security Computer security intelligent systems knowledge engineering systems engineering and theory Laboratories Industrial engineering Real time systems Engines

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Hardware Implementation of intelligent systems 1

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丛书名： Studies in Fuzziness and Soft Computing

1000年

作者： Horia-Nicolai Teodorescu Lakhmi C. Jain Abraham Kandel

ISBN: (数字)9783790818161

ISBN: (纸本)9783790813999;9783790824919

intelligent systems are now being used more commonly than in the past. These involve cognitive, evolving and artificial-life, robotic, and decision making systems, to name a few. Due to the tremendous speed of development, on both fundamental and technological levels, it is virtually impossible to offer an up-to-date, yet comprehensive overview of this field. Nevertheless, the need for a volume presenting recent developments and trends in this domain is huge, and the demand for such a volume is continually increasing in industrial and academic engineering 1 communities. Although there are a few volumes devoted to similar issues , none offer a comprehensive coverage of the field; moreover they risk rapidly becoming obsolete. The editors of this volume cannot pretend to fill such a large gap. However, it is the editors' intention to fill a significant part of this gap. A comprehensive coverage of the field should include topics such as neural networks, fuzzy systems, neuro-fuzzy systems, genetic algorithms, evolvable hardware, cellular automata-based systems, and various types of artificial life-system implementations, including autonomous robots. In this volume, we have focused on the first five topics listed above. The volume is composed of four parts, each part being divided into chapters, with the exception of part 4. In Part 1, the topics of "Evolvable Hardware and GAs" are addressed. In Chapter 1, "Automated Design Synthesis and Partitioning for Adaptive Reconfigurable Hardware", Ranga Vemuri and co-authors present state-of-the-art adaptive architectures, their classification, and their applications.

关键词： Artificial Intelligence

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Applied intelligent systems 1

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丛书名： Studies in Fuzziness and Soft Computing

1000年

作者： John Fulcher Lakhmi C. Jain

ISBN: (数字)9783540399728

ISBN: (纸本)9783540211532;9783642059421

Humans have always been hopeless at predicting the future…most people now generally agree that the margin of viability in prophecy appears to be 1 ten years. Even sophisticated research endeavours in this arena tend to go 2 off the rails after a decade or so. The computer industry has been particularly prone to bold (and often way off the mark) predictions, for example: ‘I think there is a world market for maybe five computers’ Thomas J. Watson, IBM Chairman (1943), ‘I have traveled the length and breadth of this country and talked with the best people, and I can assure you that data processing is a fad that won’t last out the year’ Prentice Hall Editor (1957), ‘There is no reason why anyone would want a computer in their home’ Ken Olsen, founder of DEC (1977) and ‘640K ought to be enough for anybody’ Bill Gates, CEO Microsoft (1981). 3 The field of Artificial Intelligence – right from its inception – has been particularly plagued by ‘bold prediction syndrome’, and often by leading practitioners who should know better. AI has received a lot of bad press 4 over the decades, and a lot of it deservedly so. How often have we groaned in despair at the latest ‘by the year-20xx, we will all have…(insert your own particular ‘hobby horse’ here – e. g.

关键词： Mathematical and Computational engineering Artificial Intelligence engineering, general Pattern Recognition Control, Robotics, Mechatronics Economic Theory/Quantitative Economics/Mathematical Methods

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