An intelligent hybrid system architecture is proposed for the design of plastic parts. To facilitate the concept of concurrent engineering, an object-oriented design environment is recommended. Problems with previous ...
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An intelligent hybrid system architecture is proposed for the design of plastic parts. To facilitate the concept of concurrent engineering, an object-oriented design environment is recommended. Problems with previous intelligent design systems are discussed. Using neural networks in conjunction with expert systems may provide the route to a more flexible design space. The necessary architecture to achieve these goals is described. A working model of the system was created. This model is discussed in detail.
The problem of computing volumetric shape from stereo is examined. It is argued that intermediate two-and-one-half-dimensional dense or wire-frame descriptions may not be always possible from stereo, especially when t...
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The problem of computing volumetric shape from stereo is examined. It is argued that intermediate two-and-one-half-dimensional dense or wire-frame descriptions may not be always possible from stereo, especially when there are curved surfaces in the scene, and that 3D volumetric descriptions of objects may have to be derived directly from stereo correspondences. Methods are then presented for recovering volumetric shape with linear straight homogeneous generalized cones (LSHGCs) and straight homogeneous generalized cones (SHGCs) as the shape models, using some invariant properties in their monocular and stereo projections. Experimental results on images of objects with curved surfaces are given.< >
In automated feature-based motion analysis of multiple frames, correspondence data are usually noisy and fragmented. A technique that gradually refines the initial noisy correspondence data and links fragments of a si...
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In automated feature-based motion analysis of multiple frames, correspondence data are usually noisy and fragmented. A technique that gradually refines the initial noisy correspondence data and links fragments of a single trajectory using feedback from 3D motion estimation is presented. First, 3D motion parameters are estimated using the initial correspondence data. Then, each noisy trajectory is partitioned into subsets of points, each of which conforms to the estimated motion. The best set is used as the input to the next motion estimation. This process is repeated, and the gaps in the refined correspondence data are filled by guidance from the predicted motion. Test results for a standard real image sequence are presented.< >
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 represen...
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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.< >
This paper critically studies approaches that use the theory of fuzzy sets for multi objective decision making with linear programming. Two main approaches are distinguished: one that converts the problem into a singl...
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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 connectiv...
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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.< >
The authors describe a technique for inference of 3-D shape from 2-D contours that utilizes not only the shapes of individual surfaces but also the interactions between them. The analysis applies to objects made of ze...
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The authors describe a technique for inference of 3-D shape from 2-D contours that utilizes not only the shapes of individual surfaces but also the interactions between them. The analysis applies to objects made of zero-Gaussian curvature surfaces viewed under orthographic projection.< >
In order to broaden the scope of application of NN's there has been a recent surge of interest in combining artificial neural networks with expert systems to solve real world *** two approaches need to be integrat...
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In order to broaden the scope of application of NN's there has been a recent surge of interest in combining artificial neural networks with expert systems to solve real world *** two approaches need to be integrated in a way that we exploit their strengths and cover their *** generalizing effects of neural nets need to be safely used especially in real-time *** this paper we propose a generic neuro - expert system model which can be used in various problem domains(especially engineering).In order to realize the strengths of both artificial neural nets and expert systems,the model is integrated into an object model and a unix OS process *** is followed by the application of the integrated model to a practical real-time system,mainly alarm processing in power systems.
A story generation system based on dynamics of the mind is presented. Semantic theories until now avoided discussing a linkage of language with encyclopedic human knowledge. This paper attacks the problem of how to ma...
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