The reduction of the state space of generalized stochastic Petri net (GSPN) models is discussed. For a certain class of GSPNs it is possible to analyze subnets in isolation by keeping the number of tokens in the net c...
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The reduction of the state space of generalized stochastic Petri net (GSPN) models is discussed. For a certain class of GSPNs it is possible to analyze subnets in isolation by keeping the number of tokens in the net constant. The authors construct a flow equivalent net (FEN), which has the same temporal and input/output properties of the original net, but with a strongly reduced state space. The FEN is substituted back into the complement of the original net.< >
A comparative study of a classical expert system and an adaptive fuzzy expert control system for an inverted pendulum is presented. Specifically, three controllers are compared: constant gain, expert controller, and a...
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A comparative study of a classical expert system and an adaptive fuzzy expert control system for an inverted pendulum is presented. Specifically, three controllers are compared: constant gain, expert controller, and an adaptive fuzzy expert controller. The comparative study was done by means of computer simulation through the Matlab and Togai InfraLogic's Fuzzy-C software programs. It is seen that the fuzzy expert controller provides much better performance than the regular expert system.< >
Two major structuring element decomposition techniques are compared, and the superiority of the two pixel decomposition techniques over the cellular decomposition technique is shown in terms of the number of pipeline ...
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Two major structuring element decomposition techniques are compared, and the superiority of the two pixel decomposition techniques over the cellular decomposition technique is shown in terms of the number of pipeline stages. As for the general structuring function decomposition, to the authors' knowledge, there is no efficient algorithm that has been found. The difficulty can be overcome by using an adequate representation of the general gray-scale structuring function. Representing a gray-scale image as a specific 3-D set, i.e. an umbra, makes it easier to shift all morphological theorems from the binary domain to the gray-scale domain; however, a direct umbra representation is not appropriate for the general gray-scale structuring function decomposition. The authors also provide a morphologically realizable representation and decomposition for the general gray-scale structuring function and show recursive algorithms which are pipelineable for efficiently performing gray-scale morphological operations.< >
This article presents an approach to estimate the general 3-D motion of a polyhedral object using multiple sensor data some of which may not provide sufficient information for the estimation of object motion. Motion c...
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This article presents an approach to estimate the general 3-D motion of a polyhedral object using multiple sensor data some of which may not provide sufficient information for the estimation of object motion. Motion can be estimated continuously from each sensor through the analysis of the instantaneous state of an object. The instantaneous state of an object is specified by the rotation, which is defined by a rotation axis and rotation angle, and the displacement of the center of rotation. We have introduced a method based on Moore-Penrose pseudoinverse theory to estimate the instantaneous state of an object, and a linear feedback estimation algorithm to approach the motion estimation. The motion estimated from each sensor is fused to provide more accurate and reliable information about the motion of an unknown object. The techniques of multisensor data fusion can be categorized into three methods: averaging, decision, and guiding. We present a fusion algorithm which combines averaging and decision. With the assumption that the motion is smooth, our approach can handle the data sequences from multiple sensors with different sampling times. We can also predict the next immediate object position and its motion. The simulation results show our proposed approach is advantageous in terms of accuracy, speed, and versatility.
This paper reports on the results of a simulation study undertaken to evaluate the performance of the Consumer Electronic Bus (CEBUS) under various traffic patterns and especially under large traffic generated by high...
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This paper reports on the results of a simulation study undertaken to evaluate the performance of the Consumer Electronic Bus (CEBUS) under various traffic patterns and especially under large traffic generated by high priority nodes. The CEBUS is based on the ISO/OSI model of layered architecture. The simulation results have shown that, when the throughput of the network is small (30%), the delay is bounded for all messages of all priorities. As the throughput of the network increases to more than 70%, due to an increasing number of high priority messages, the lower priority messages get queued at their nodes. It is also shown that the delay can be bounded, when needed, by assigning high priority status to nodes generating messages with urgent communications and lower priority status to nodes sending messages which do not require immediate response.
Sensing is one of the most essential aspects of any robotic application, be it manufacturing or any automated process. Robotic sensors can be divided into two classes of " internal " and " external &quo...
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Sensing is one of the most essential aspects of any robotic application, be it manufacturing or any automated process. Robotic sensors can be divided into two classes of " internal " and " external ". Examples of the first group are position or velocity, while the second group includes proximity, touch, or vision to name a few. The other important problem in manufacturing is interfacing with the environment within a cell. The object of this tutorial paper is to survey the two issues of "sensing" and "interfacing" in robotics and manufacturing.
In this paper, a novel approach to solve the mobile robot path planning problem in an unknown environment is presented. Inherently, the obstacle information from robot perception is contaminated with uncertainties, an...
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Surface reconstruction from cross-sectional contours has become increasingly important in medical image applications. In this paper, a method of reconstructing the surface of an object based on the descriptions of cro...
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To improve the performance of autonomous vehicles operating in a factory environment, it is important to develop an intelligent planning system to avoic. vehicle collisions as well as to design a good path network whi...
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The objective of this paper is to present a 3D object recognition system with emphasis on an optimum placement strategy for a mobile 3D range sensor. The theoretical aspects leading to the development of the 3D sensor...
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