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Using Neural-Net Computing to Formulate Real-Time Control Strategies

IFAC Proceedings Volumes 1992年第10期25卷 475-482页

作者： Yoh-Han Pao Department of Electrical Engineering and Computer Science Case Western Reserve University Cleveland OH 44112-7221 USA AI Ware Inc. Cleveland OH 44106 USA

In this paper, we propose a new neural-net approach to learning appropriate control actions. It is not based on the more commonly accepted approach of learning a system emulator and a control-action generator with supervised learning implemented through minimization of errors. Instead, the net observes and records, and adjusts local activation and attention to reflect the frequency of occurrences. Such a net can track the time variational characteristics of physical plants and is compatible with the learning of real-time fuzzy controls.

关键词： Real-time control fuzzy controls concept learning frequency-based learning

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Using neural-net computing to formulate real-time control strategies

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Annual Review in Automatic Programming 1992年 17卷 475-482页

作者： Yoh-Han Pao Department of Electrical Engineering and Computer Science Case Western Reserve University Cleveland OH 44112-7221 USA AI Ware Inc. Cleveland OH 44106 USA

关键词： Real-time control fuzzy controls concept learning frequency-based learning

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Enforcement of integrity constraints against transactions with transition axioms

Enforcement of integrity constraints against transactions wi...

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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： S.H. Lee L.J. Henschen M.H. Kim Y.-J. Lee Database Section Electronics and Telecommunications Research Institute South Korea Department of Electrical Engineering and Computer Science Northwestern University IL USA Department of CS and Center for AI Research Korea Advanced Institute of Science and Technology South Korea

The authors address an enforcement technique of integrity constraints against transaction updates in a relational database system. Transition axioms have been used effectively in checking integrity constraints for single update statements. The authors extend the idea of transition axioms to a transaction which is a sequence of read and update statements. Integrity constraints in this scheme are simplified without database access before the actual operations are performed avoiding the need to undo an illegal transaction. Transaction partitioning, which can reduce the overhead of checking integrity constraints significantly, is proposed. Partitioning a transaction becomes crucial when a transaction is associated with multiple integrity constraints.< >

关键词： Transaction databases Relational databases Database systems computer science Artificial intelligence Control systems Law Legal factors

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Model Base Management for Multifacetted Systems

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ACM Transactions on Modeling and computer Simulation (TOMACS) 1991年第3期1卷 195-218页

作者： Zeigler, Bernard P. Luh, Cheng-Jye Kim, Tag-Gon AI Simulation Group Department of Electrical and Computer Engineering University of Arizona Tuscon AZ 85721 United States Department of Electrical Engineering Korea Advanced Institute of Science and Technology Taejon South Korea

This article describes further efforts to employ the Systems Entity Structure/Model Base framework as a workable foundation for model base management in advanced simulation environments and workbenches. Such management facilities aim to provide a sharable repository of models and a means of assisting users to synthesize models to satisfy the objectives of the current study. In our approach, we view a multifaceted system as needing many models on which to base control, management, design and other interventions. These models differ in level of abstraction and in formalism. Concepts and tools are needed to organize the models into a coherent whole. This paper deals with the management of model bases using system entity structure concepts. We show how the pruning process supports reuse of previously pruned structures. Concepts of context-sensitive pruning and partitioned entity structure bases are introduced to promote model base coherence and evolvability. © 1991, ACM. All rights reserved.

关键词： evolvability model base coherence model base management reusability

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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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MCFS: a multiple criteria reasoning fuzzy expert systems building tool

MCFS: a multiple criteria reasoning fuzzy expert systems bui...

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IEEE Annual International computer Software and Applications Conference (COMPSAC)

作者： A. Kamel A. Nazif O. El-Dessouki N. Kamel AI/KBS Group Computer Science Department Michigan State University East Lansing MI USA Electronics and Communications Department College of Engineering Cairo University Guiza Egypt Database Systems Research & Development Center Computer and Information Sciences Department University of Florida Gainesville FL USA

The authors present the design principles of MCFS, an expert system building tool based on the idea of combining multiple criteria reasoning with the concepts of fuzzy logic. An important feature of MCFS is its ability to handle multiple criteria reasoning by structuring the deduction process into a hierarchy of logical levels. Within each level, the rules are organized into sets of rules and rule set groups. The concepts of fuzzy logic are introduced by allowing uncertainty within each rule, each set of rules, and each rule set group. MCFS has been fully implemented and applied to several domains of knowledge such as computer system selection and procurement, solution of nonlinear simultaneous equations, neck-tie selection, and longevity estimation. Experiments with these applications indicate that, compared to standard expert system tools, MCFS produces expert systems which are easier to build and better match the human expert.< >

关键词： Hybrid intelligent systems Expert systems Fuzzy logic Uncertainty Humans Educational institutions Artificial intelligence Knowledge based systems computer science Buildings

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Panel Discussion on the Topic of Transfer of Technology from Research to Production

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IFAC Proceedings Volumes 1990年第8期23卷 63-63页

作者： Y.H. Pao Department of Electrical Engineering and Computer Science Case Western Reserve University and AI Ware Inc. Cleveland OH 44106 USA

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CLEER - AN ai-SYSTEM DEVELOPED TO ASSIST EQUIPMENT ARRANGEMENTS ON WARSHIPS

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NAVAL ENGINEERS JOURNAL 1989年第3期101卷 127-137页

作者： ZHOU, HH SILVERMAN, BG SIMKOL, J Dr. H. Harry Zhou:is a research professor at the Institute for Artificial Intelligence of The George Washington University. Dr. Zhou received his master's degree and Ph.D. in computer science from Vanderbilt University in 1984 and 1987 respectively. He did his dissertation in the fields of artificial intelligence analogical reasoning and machine learning. His research interests include: classifier systems genetic algorithms learning by analogy inductive learning adaptive expert systems automated knowledge acquisition and adaption. He is also interested in data base design programming languages mental modeling and software engineering. Dr. Barry G. Silverman:is director of the Institute for Artificial Intelligence and a professor at the Engineering Administration Department of The George Washington University. He is also president of IntelliTek Inc. an AI consulting firm. Dr. Silverman received the B.S.E. M.S.E. and Ph.D. degrees from the University of Pennsylvania. He has been a principal developer of four generic AI products as well as eight AI applications. Since 1979 he has written over 100 papers and reports on these AI efforts. Joel Simkol:is a research scientist currently engaged in designing expert system architectures to support electronic warfare vulnerability analyses threat assessments shipboard topside antenna arrangements and C3countermeasures employment. Mr. Simkol's work in applying expert systems technology to electromagnetic interference and to spectrum management has generated increased interest and participation from all branches of government agencies.

This paper describes a modularized ai system being built to help improve electromagnetic compatibility (EMC) among shipboard topside equipment and their associated systems. CLEER is intended to act as an easy to use integrator of existing expert knowledge and pre-existing data bases and large scale analytical models. Due to these interfaces; to the need for portability of the software; and to artificial intelligence related design requirements (such as the need for spatial reasoning, expert data base management, model base management, track-based reasoning, and analogical (similar ship) reasoning) it was realized that traditional expert system shells would be inappropriate, although relatively off-the-shelf ai technology could be incorporated. In the same vein, the rapid prototyping approach to expert system design and knowledge engineering was not pursued in favor of a rigorous systems engineering methodology. The critical design decisions affecting CLEER's development are summarized in this paper along with lessons learned to date all in terms of “how,” “why,” and “when” specific features are being developed.

关键词： Artificial Intelligence

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Computing fast fourier transforms on boolean cubes and related networks

Computing fast fourier transforms on boolean cubes and relat...

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Advanced Algorithms and Architectures for Signal Processing II 1987

作者： Johnsson, S.Lennart Ho, Ching-Tien Jacquemin, Michel Ruttenberg, Alan Thinking Machines Corp. 245 First Street CambridgeMA02142 United States Departments of Computer Science and Electrical Engineering Yale University New HavenCT06520 United States Department of Computer Science Yale University New HavenCT06520 United States MIT AI Lab CambridgeMA02139 United States

High performance architectures are using an ever increasing number of processors. The Boolean cube network has many independent paths between any pair of processors. It provides both a high communications bandwidth as well as the ability to emulate many other networks without contention for communication channels. Of particular interest for the Fast Fourier Transform (FFT) is the ability to emulate butterfly networks, which defines the communication pattern of the FFT. Each node of a Boolean cube network of N nodes has a degree of log2N. For a large number of nodes the number of channels required at the chip boundary may be unfeasibly large with several nodes to a chip, and a network with slightly lower connectivity, such as Cube Connected Cycles networks, may be preferable. The communication system is the most critical resource in many high performance architectures, and its effective use imperative. We describe FFT algorithms that use both the storage bandwidth and the communication system optimally for an architecture such as the Connection Machine that has 65536 processors interconnected in a Boolean cube related network. We also describe the necessary data allocation, and the allocation and use of the twiddle factors. © 1988 SPIE. All rights reserved.

关键词： Fast Fourier transforms

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Recent Advances in Vision Transformer Robustness Against Adversarial Attacks in Traffic Sign Detection and Recognition: A Survey

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ACM Computing Surveys 1000年

作者： Oluwajuwon Fawole Danda Rawat DoD Center of Excellence in AI/ML and Department of Electrical Engineering & Computer Science Howard University Washington United States

The emergence of Vision Transformers (ViTs) has marked a significant advancement in machine learning, particularly in applications requiring robust visual recognition capabilities, such as traffic sign detection for autonomous driving systems. But, deploying these models in adversarial environments where robustness is critical remains a challenge. This survey provides a comprehensive review of the integration of ViTs in traffic sign detection and recognition, emphasizing their vulnerability to adversarial attacks and the methods developed to enhance their robustness. This paper also presents a compressive comparison of ViTs in a tabular form for side-by-side comparison.

关键词： Adversarial attack adversarial training vision transformers and traffic signs.

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