This paper describes the method of shape recovery of specular objects illuminated by multiple light sources by pattern recognition. In this method, a three-dimensional shape is recovered from an epipolar plane image (...
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The spectral Galerkin procedure is often used to analyze scattering by metallic gratings. The resistive boundary condition is applied to metallic gratings that are assumed to be zero-thickness plane gratings. However,...
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Electrophoretic analyses of acid extracts from mature sperm of newt, Cynops pyrrhogaster, on acid/urea/Triton X-100 polyacrylamide gel showed the exclusive occurrence of sperm-specific nuclear basic proteins (SBPs), w...
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This paper presents a new upper bound on overall bit error rate (BER) for a concatenated code which consists of an inner convolutional code and an outer interleaved Reed-Solomon code. The upper bound on BER is derived...
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This paper presents a new upper bound on overall bit error rate (BER) for a concatenated code which consists of an inner convolutional code and an outer interleaved Reed-Solomon code. The upper bound on BER is derived based on a lower bound on the effective minimum distance of the concatenated code. This upper bound can be used for the cases when the interleaver size is small such that the conventional upper bound is not applicable.
This paper proposes a new approach to hidden-layer size reducing for multilayer neural networks, using the orthogonal least-squares (OLS) method based on the Gram-Schmidt orthogonal transformation. A neural network wi...
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ISBN:
(纸本)0780342089
This paper proposes a new approach to hidden-layer size reducing for multilayer neural networks, using the orthogonal least-squares (OLS) method based on the Gram-Schmidt orthogonal transformation. A neural network with a large hidden-layer size is first trained via a standard training rule. Then the OLS method is introduced to identify and eliminate redundant neurons such that a simpler neural network is obtained. The OLS method is employed as a forward regression procedure to select a suitable set of neurons from a large set of preliminarily trained hidden neurons, such that the input to the output-layer neuron is reconstructed with less hidden neurons. Simulation results are included to show the efficiency of the proposed method.
When building up a fuzzy diagnosis system, symptom parameters (SPs) must be extracted and the membership functions between the symptom parameters and failure categories must be defined for fuzzy inference. Currently, ...
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When building up a fuzzy diagnosis system, symptom parameters (SPs) must be extracted and the membership functions between the symptom parameters and failure categories must be defined for fuzzy inference. Currently, however, there is no acceptable method for extracting the optimum SP by which the failure types can be sensitively distinguished. In order to overcome this difficulty and ensure highly accurate failure diagnosis, in this paper, a new method called "sequential self-reorganization of symptom parameters" is proposed by using genetic algorithms (GA). Also the identification method of membership functions of symptom parameters is discussed by using the possibility theory. The efficiency of these methods is verified by applying them to a ball bearing diagnosis system. The new methods proposed here can also be applied to other pattern recognition problems.
In this paper, we will pay attention to the spline wavelets which are real-type wavelets and have good characteristics such as compact support, the symmetric property and so on. We propose an RI-Spline wavelet which i...
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In this paper, we will pay attention to the spline wavelets which are real-type wavelets and have good characteristics such as compact support, the symmetric property and so on. We propose an RI-Spline wavelet which is complex-type wavelet and has the compact support, and we confirm the effectivity of this wavelet in the continuous case by a model signal. Next, for the application of the spline wavelets to control golf sound, we examine the relation between golf impact sound and vibration velocity of golf club. As a result, it is found that using the continuous and discrete wavelet transform together is effective for the analysis of the sound and the vibration. This technique will be useful for the unsteady signal analysis.
A new type of optical actuator is proposed by using the bimetal( Ni-Cr-Fe/36Ni-Fe ), which is to be developed for a optical micro-mechatronics system. The paper describes fundamental characteristics on a larger actuat...
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A new type of optical actuator is proposed by using the bimetal( Ni-Cr-Fe/36Ni-Fe ), which is to be developed for a optical micro-mechatronics system. The paper describes fundamental characteristics on a larger actuator both theoretically and experimentally. In order to identify some unknown parameters of the actuator, the results simulated by FEM are presented, and are compared with the experimental data. Furthermore, a numerical experiment on the optical micro-actuator is carried out to analyze step characteristic by FEM. Finally, the development of helical actuator is also provided.
This paper is concerned with an application of a digital adaptive control system to a servo mechanism. Mechanical systems in general include nonlinearities and additional uncertainties and which result from inertia an...
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This paper is concerned with an application of a digital adaptive control system to a servo mechanism. Mechanical systems in general include nonlinearities and additional uncertainties and which result from inertia and friction. So it is difficult to ensure robust performance and high accuracy for motion control. The digital adaptive control system presented here is considered to overcome the above stated problem. Experimental results from a feed drive system demonstrate the effectiveness of the proposed control scheme.
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