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International Symposium on Parallel Processing

作者： L.R. Welch Real-Time Computing Laboratory Department of Computer and Information Science New Jersey Institute of Technology USA

The utilization of reusable software components can help to reduce the complexity of developing and maintaining parallel programs, but can lead to inefficiencies. The potential inefficiencies are addressed by providing a model of parallel execution (asynchronous remote procedure call, or ARPC) that not only speeds up programs, but also encourages the development of layered software by increasing parallelism in correspondence to increases in layering. The paper presents an efficient algorithm for assigning the reusable modules of a program to the processing elements of a parallel computer that supports ARPC. The objectives of the assignment algorithm are to permit maximum inter-module parallelism with the fewest possible PEs, and to prevent deadlock. The algorithm differs from previous solutions to the assignment problem in that the modules to be assigned are generic abstract data type modules, not procedures, tasks, or processes.< >

关键词： Concurrent computing Software reusability Software maintenance System recovery Parallel processing Laboratories Information science Software algorithms computer architecture Distributed computing

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Handwritten numeral recognition based on hierarchically self-organizing learning networks with spatio-temporal pattern representation

Handwritten numeral recognition based on hierarchically self...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： S. Lee J.C. Pan Department of Electrical Engineering-Systems and Computer Science Institute for Robotics and Intelligence Systems University of Southern California USA

An approach for tracing, representation, and recognition of a handwritten numeral in an offline environment is presented. A 2D spatial representation of a numeral is first transformed into a 3D spatiotemporal representation by identifying the tracing sequence based on a set of heuristic rules acting as transformation operators. Given the dynamic information of the tracing sequence, a multiresolution critical-point segmentation method is proposed to extract local feature points, at varying degrees of scale and coarseness. A neural network architecture, the hierarchically self-organizing learning (HSOL) network (S. Lee, J.C. Pan, 1989), especially for handwritten numeral recognition, is presented. Experimental results based on a bidirectional HSOL network indicated that the method is robust in terms of variations, deformations, and corruption, achieving about 99% recognition rate for the test patterns.< >

关键词： Handwriting recognition Pattern recognition Feature extraction Character recognition Intelligent robots Neural networks Humans Heuristic algorithms Skeleton Lifting equipment

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Shape Recognition By Random grasping

Shape Recognition By Random grasping

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IEEE International Workshop on Intelligent Robots and systems (IROS)

作者： Dukhyun Kang K.Y. Goldberg Institute for Robotics and Intelligent Systems Computer Science Department University of Southern California Los Angeles CA USA

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How the checklist paradigm elucidates the semantics of fuzzy inference

How the checklist paradigm elucidates the semantics of fuzzy...

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IEEE International Conference on Fuzzy systems (FUZZ-IEEE)

作者： L.J. Kohout W. Bandler The Institute of Cognitive Sciences Institute of Expert Systems and Robotics Department of Computer Science Florida State University Tallahassee FL USA

The authors present some results on a theoretical semantic device called the checklist paradigm which gives the theoretical bounds on the performance of particular many-valued implication operators and other connectives. In its most general form, the checklist paradigm pairs the distinct connectives of the same logical type to provide the bounds for interval-valued approximate inference. The global structure imposed on the many-valued connectives by the certain type of checklist paradigm contracting measures is shown to be the S/sub 2*2*2/ group.< >

关键词： Fuzzy logic Multivalued logic Fuzzy systems Fuzzy sets Knowledge engineering Inference algorithms Algorithm design and analysis Expert systems Cognitive robotics computer science

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Kinematic calibration of an active camera system

Kinematic calibration of an active camera system

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： G.-S. Young T.-H. Hong M. Herman J.C.S. Yang Robotics Laboratory Department of Mechanical Engineering University of Maryland College Park MD USA National Institute for Standards and Technology Gaithersburg MD USA Department of Computer Science and Information Systems American University DC USA

A technique for the calibration of an active camera system is presented. The calibration of manipulator, camera-to-manipulator, camera, and base-to-world is treated in a unified and elegant way. In this approach, the camera frames and manipulator link frames are all related to the world frame, therefore the camera-to-manipulator and base-to-world calibration is very straightforward. The approach is simple, since it uses the form of one equation solving one parameter. Two experiments that verify the accuracy of the technique are reported.< >

关键词： Kinematics Calibration Cameras Robot vision systems Helium Manipulators Equations NIST Laboratories Mechanical engineering

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Obstacle detection for a vehicle using optical flow

Obstacle detection for a vehicle using optical flow

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IEEE Symposium on Intelligent Vehicle

作者： G.-S. Young T.-H. Hong M. Herman J.C.S. Yang Robotics Laboratory Department of Mechanical Engineering University of Maryland College park MD USA National Institute for Standards and Technology Gaithersburg MD USA Department of Computer Science and Information Systems American University Washington D.C. DC USA

A novel approach to obstacle detection using optical flow without recovering range information has been developed. This method can be used for ground vehicles to navigate through man-made roadways or natural outdoor terrain or for air vehicles to land on known or unknown terrain. A linear relationship, plotted as a line and called a reference flow line, has been found. This reference flow line can be used to detect discrete obstacles above or below the reference terrain. Slopes of surface regions are also computed. The approach is simple, fast, and robust because: (1) the only required information is one component of the optical flow, (2) each image line can be processed in parallel, and (3) the error sources involved are reduced to a minimum. An initial experiment using noisy synthetic data is also included to demonstrate the applicability and robustness of the method.< >

关键词： Vehicle detection Image motion analysis Optical sensors Biomedical optical imaging Navigation Land vehicles Cameras Road vehicles Robustness Remotely operated vehicles

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Model-based diagnosis of complex systems: Structuring and temporal reasoning

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Annual Review in Automatic Programming 1991年第PART 1期16卷 41-45页

作者： Hübner, T Institute for Real Time Computer Systems and Robotics Faculty of Computer Science University of Karlsruhe Karlsruhe Germany

Model-based diagnosis of industrial applications (i.e., complex systems) has to face a lot of problems inherent in complexity. Most applications involve thousands of components and are dynamic. The approach outlined in this paper is based on semantic nets representing causal and temporal knowledge to be used for fault diagnosis. A view-and a hierarchy-concept serve for structured modelling and focused diagnosis. An efficient diagnostic inference mechanism is based on a pre-computation phase, where diagnostic knowledge is restructured to grant efficient access operations during a diagnostic session phase. © 1992.

关键词： artificial intelligence causal reasoning expert systems Failure detection model-based modeling structuring temporal reasoning

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Model-based diagnosis of complex systems: Structuring and temporal reasoning

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IFAC Proceedings Volumes 1991年第10期24卷 41-45页

作者： T. Hübner Institute for Real Time Computer Systems and Robotics Faculty of Computer Science University of Karlsruhe Karlsruhe Germany

Model-based diagnosis of industrial applications (i.e., complex systems) has to face a lot of problems inherent in complexity. Most applications involve thousands of components and are dynamic. The approach outlined in this paper is based on semantic nets representing causal and temporal knowledge to be used for fault diagnosis. A view and a hierarchy-concept serve for structured modelling and focused diagnosis. An efficient diagnostic inference mechanism is based on a pre-computation phase, where diagnostic knowledge is restructured to grant efficient access operations during a diagnostic session phase.

关键词： Failure detection artificial intelligence expert systems modeling causal reasoning temporal reasoning structuring model-based

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Use of monocular groupings and occlusion analysis in a hierarchical stereo system

Use of monocular groupings and occlusion analysis in a hiera...

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Conference on computer Vision and Pattern Recognition (CVPR)

作者： R.C. Chung R. Nevatia Institute for Robotics and Intelligent Systems Department of Electrical Engineering and Computer Science University of Southern California Los Angeles CA USA

A hierarchical stereo system is described that uses structural descriptions up to the surface level. Surface descriptions are computed from monocular images, by using a perceptual grouping technique. Occlusion can be a major problem in stereo analysis and is often not treated explicitly. An analysis is presented of occlusion effects in stereo, and it is shown how structural descriptions can be used to deal with them. Experimental results are given for scenes with curved objects and significant occlusions.< >

关键词： Layout Intelligent robots Surface treatment Stereo image processing Image reconstruction Intelligent systems Intelligent structures Hierarchical systems Monitoring Contracts

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An extended object model for the design and development of expert systems

An extended object model for the design and development of e...

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1990 ACM SIGBDP Conference on Trends and Directions in Expert systems, SIGBDP 1990

作者： Biswas, Pratik K. Department of Computer Science Institute for Expert Systems and Robotics Florida State University TallahasseeFL32306-4019 United States

ISBN: (纸本)0897914163

An Extended Object Model (XOM) is p resented for the design and development of knowledge based systems. A set of operations is defined on the object model. The model is used in designing the conceptual schema of an expert system. The set of XOM operations is shown to be complete in an expert system developing environment based on our proposed conceptual schema. Finally an example is presented to illustrate the organization of an expert system, developed in such an environment. © 1990 ACM.

关键词： Expert systems

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