In computer vision, texture plays an important role. In this work we propose five human perceptual texture features heuristically extracted. Since a modeling can not be obtained from these features, we use a discrimin...
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In this paper, a new object recognition framework is presented. The framework includes a variety of object recognition approaches based on Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), and th...
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This paper presents a successful implementation of an undergraduate robotics and virtual reality course that builds upon the synergies existing between these two areas in order to introduce computers and information t...
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Application of projection pursuit learning in ship motion extreme short time prediction was presented. Relations among pitch time, roll, and vertical acceleration of ship was studied for top waves, longitudinal waves ...
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Application of projection pursuit learning in ship motion extreme short time prediction was presented. Relations among pitch time, roll, and vertical acceleration of ship was studied for top waves, longitudinal waves and roll waves. It was found that parametric projection pursuit achieved better accuracy with fewer parameters than a one hidden-layer sigmoidal neural networks.
This paper describes a fast and simple training method for face detection based on block gradient of the gray level. The gradient orientation is one of the most essential features to describe the image structure. In t...
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As an new optical instrument, Fiber Optical Gyroscope (FOG) is used in guidance and navigation system more and more. But the problem is that it can be disturbed by electromagnetic environment easily. According to appl...
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To efficiently extract local and global features in face description and recognition, a pyramid-based multi-scale LBP approach is proposed. Firstly, the face image pyramid is constructed through multi-scale analysis. ...
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Starting with the Park's equations of the synchronous generator, the paper presents the principles followed to obtain nonlinear models that can be directly used for computer simulations using Matlab with Simulink ...
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ISBN:
(纸本)0889863393
Starting with the Park's equations of the synchronous generator, the paper presents the principles followed to obtain nonlinear models that can be directly used for computer simulations using Matlab with Simulink package. Also there are presented some comparative studies about an adaptive controller with application to excitation control of a synchronous generator, functioning in active power load regime. To design the adaptive controller are taken into consideration the RLSE estimator (recursive least square error) and respectively an estimator based on Givens orthogonal transformation.
The estimation of unobservable states of a process is important when using control techniques that assume, said a priori, known values. The controllers based on the state space present good behavior and efficiency, ev...
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It is a developing job to distinguish identifications with information fusion of fingerprints and palm prints. It is also a very effective way to resolve the problem of low identification rate and low stability of sin...
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It is a developing job to distinguish identifications with information fusion of fingerprints and palm prints. It is also a very effective way to resolve the problem of low identification rate and low stability of single biology characteristic identification. Based on the theory of fuzzy logic theory, we bring out the method of obfuscating weigh coefficient and reliability to fuse the information of fingerprints and palm prints to realize high identification rate. The experiment proves the feasibility and effectiveness of this method and the identification rate can be more than 90%, which contributes useful experience to the research of identification using biology characteristics.
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