The authors present a parallel algorithm for logic simulation of VLSI circuits. It is implemented on a network of transputers connected in a ring topology. The approach is based on partitioning a functionality matrix ...
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The authors present a parallel algorithm for logic simulation of VLSI circuits. It is implemented on a network of transputers connected in a ring topology. The approach is based on partitioning a functionality matrix representation of the circuit among the transputers and adopting a data flow technique for the solution. A significant aspect of the algorithm is that it overlaps computation with communication, thereby reducing the communication overhead. It also attempts even distribution of load in order to reduce processor idle time. The algorithm possesses the advantages of ease of implementation and ease of extension to incorporate additional parameters for simulation. Performance results of the algorithm are given.< >
The design and implementation of flexible manufacturing systems require the planning of task requirements to meet standards of reliability, cost, and throughput over a family of products. Tools for computer-aided engi...
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We examine the tracking of 3-dimensional targets moving in a complex (e.g. highly textured) visual environment, which makes the application of methods relying on static segmentation and feature correspondence very pro...
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Two algorithms for depth estimation are presented. The first algorithm simply looks for the focus level that maximizes the focus measure at each image point. The second algorithm uses a Gaussian model to interpolate t...
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Two algorithms for depth estimation are presented. The first algorithm simply looks for the focus level that maximizes the focus measure at each image point. The second algorithm uses a Gaussian model to interpolate the focus measures to obtain more accurate depth estimates. The algorithms were implemented and tested on surfaces of different roughness and reflectance properties. The results indicate that the shape-from-focus method may be applied to a variety of industrial vision problems.< >
Aperiodicity is normally defined as a property such that all the roots are simple and negative real, while interval polynomials are referred to as polynomials with coefficients lying within specified closed intervals ...
Aperiodicity is normally defined as a property such that all the roots are simple and negative real, while interval polynomials are referred to as polynomials with coefficients lying within specified closed intervals on the real axis. Several conditions for aperiodicity, including an exact one, are derived. Comments on these conditions are given in contrast to the work of Soh and Berger, who also considered the problem with a modified definition of aperiodicity.
The cellular neural network (CNN) paradigm is a powerful framework for analog nonlinear processing arrays placed on a regular grid. The authors extend the repertoire of CNN cloning template elements (atoms) by introdu...
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The cellular neural network (CNN) paradigm is a powerful framework for analog nonlinear processing arrays placed on a regular grid. The authors extend the repertoire of CNN cloning template elements (atoms) by introducing additional nonlinear and delay-type characteristics. With this generalization, several well-known and powerful analog array-computing structures can be interpreted as special cases of the CNN. Moreover, it is shown that the CNN with these generalized cloning templates has a general programmable circuit structure with analog macros and algorithms. The relations with the cellular automaton and the systolic array are analysed. Finally, some robust stability results and the state-space structure of the dynamics are presented.< >
A microfabricated, three-degree-of-freedom, passive, closed-chain, planar mechanism with the potential for low-torque precision positioning applications is presented. A parallel-link mechanism design is selected rathe...
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A microfabricated, three-degree-of-freedom, passive, closed-chain, planar mechanism with the potential for low-torque precision positioning applications is presented. A parallel-link mechanism design is selected rather than a serial-link implementation, since parallel-link mechanisms can operate with stationary actuators and are more rigid than their serial counterparts. Polysilicon surface micromachining is used to fabricate a mechanism which has a total area of 0.13 mm/sup 2/ and a workspace of approximately 0.01 mm/sup 2/. The fabrication process for the mechanism is described, identifying the effect on device performance of constraints imposed by the microfabrication; most notably joint clearances, component nonplanarity, and residual-stress-induced linkage deformations. The requisite formulations for the kinematics and dynamics of the device are presented which, in conjunction with the documented measurements of friction on structures of similar geometry and material, indicate that the dominant torque loads are due to friction.< >
The general framework of motion detection based on the discrete-time samples of the moving image is defined. Four types of motion detection problem are studied. The simplest one is a model resembling the experiment of...
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The general framework of motion detection based on the discrete-time samples of the moving image is defined. Four types of motion detection problem are studied. The simplest one is a model resembling the experiment of D.H. Hubel and T.N. Wiesel (1962) with a cat's retina for detecting the motion of an object having a given speed in a given direction. The most complicated case is the determination of the vertical and horizontal velocity components of a moving image. Various cloning template sequences are proposed for detecting different types of motion. The consecutive black and white image samples are fed to the input and to the initial state nodes of the cellular neural network, respectively. After the transients have decayed, the output gives the information necessary for detecting the presence or absence of a specific motion as well as for estimating the direction and the magnitude of the velocity vector. Conditions are analysed under which the detection is correct. The circuit realization of some motion detectors are discussed and the use of a programmable dual CNN structure is proposed.< >
A unified approach to transient stability assessment of multimachine power systems is presented. It originates from the equal-area criterion applied to a two-machine equivalent of the system, combined with an analytic...
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A unified approach to transient stability assessment of multimachine power systems is presented. It originates from the equal-area criterion applied to a two-machine equivalent of the system, combined with an analytical procedure totally free from any step-by-step numerical integration. The extended equal-area criterion thus devised provides analytical tools for transient stability analysis and sensitivity assessment. In turn, the latter furnishes transient stability limits and paves the way to control. Means to embed these transient stability techniques in a unified security assessment context are developed. Applications to system planning, operation planning and real-time operation are investigated and many practical uses are suggested. The method is scrutinized by a systematic exploration of 10 different power systems and many contingency scenarios, resulting in over 2500 simulations.
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