In this paper, two new similarity measure methods based on set theory were proposed. Firstly, similarity measure of two sets based on set theory and set operation was discussed. This principle was used to spectral vec...
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In this paper, two new similarity measure methods based on set theory were proposed. Firstly, similarity measure of two sets based on set theory and set operation was discussed. This principle was used to spectral vectors, and two approaches were proposed. The first method was to create a spectral polygon corresponding to spectral curve, and similarity of two spectral vectors can be replaced by that of two polygons. Area of spectral polygon was used as quantification function and some effective indexes for similarity and dissimilarity were computed. The second method was to transform the original spectral vector to encoding vector according to absorption or reflectance feature bands, and similarity measure was conducted to encoding vectors. It proved that the spectral polygon-based approach was effective 'and can be used to hyperspectral RS image retrieval.
It is difficult but important to get clear information from the low illumination images. In recent years the research of the low illumination image enhancement has become a hot topic in imageprocessing and computer v...
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It is difficult but important to get clear information from the low illumination images. In recent years the research of the low illumination image enhancement has become a hot topic in imageprocessing and computer vision. The Retinex algorithm is one of the most popular methods in the field and uniform illumination is necessary to enhance low illumination image quality by using this algorithm. However, for the different areas of an image with contrast brightness differences, the illumination image is not smooth and causes halo artifacts so that it cannot retain the detail information of the original images. To solve the problem, we generalize the multi-scale Retinex algorithm and propose a new enhancement method for the low illumination images based on the microarray camera. The proposed method can well make up for the deficiency of imbalanced illumination and significantly inhibit the halo artifacts as well. Experimental results show that the proposed method can get better image enhancement effect compared to the multi-scale Retinex algorithm of a single image enhancement. Advantages of the method also include that it can significantly inhibit the halo artifacts and thus retain the details of the original images, it can improve the brightness and contrast of the image as well. The newly developed method in this paper has application potential to the images captured by pad and cell phone in the low illumination environment.
This paper illustrates the performance of a mobile positioning technique applicable to a GSM *** experimental system of a network-based GSM positioning for ITS has been proposed, and the hybrid TOA-TDOA method based o...
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This paper illustrates the performance of a mobile positioning technique applicable to a GSM *** experimental system of a network-based GSM positioning for ITS has been proposed, and the hybrid TOA-TDOA method based on GSM signaling has been analyzed and used. The performance of the proposed system is showed through simulations in urban and suburban environments. The accuracy for 67% mobile stations is 70 m in urban and 120 m in suburban. The accuracy, coverage and network load of positioning system are also analyzed.
This paper investigates the application of space geometry method for actuator fault detection and isolation(FDI) with disturbance inputs and measurement noises. To achieve the input signals, disturbances and noises ar...
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ISBN:
(纸本)9781479947249
This paper investigates the application of space geometry method for actuator fault detection and isolation(FDI) with disturbance inputs and measurement noises. To achieve the input signals, disturbances and noises are decoupled from residuals. Then the residual generator is designed and the relevant parameters are solved for it. When there are residuals exceed the threshold value, we can detect the faults. It can obtain single and multiple actuators FDI because of the method which we proposed satisfies the one-to-one corresponding relationship between faults and residuals. Simulation results demonstrate effectiveness of our proposed algorithm.
This paper investigates sensor fault problems in Markov jump systems with uncertain *** the measurement equation,the sensor faults can be translated into the state ***,a cluster of residual generators is designed by e...
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ISBN:
(纸本)9781509009107
This paper investigates sensor fault problems in Markov jump systems with uncertain *** the measurement equation,the sensor faults can be translated into the state ***,a cluster of residual generators is designed by employing the space geometric *** corresponding filter parameters are obtained based on the space geometric approach,then using H optimization technique reduce the effects of disturbance inputs on the residuals,at the same time,the residual generator is designed so that the residual signals and sensor faults satisfy one to one correspondence,which can be used to detect and isolate the sensor faults in Markov jump systems with *** results demonstrate the efficiency of the proposed method.
In this paper, we propose an algorithm to solve the issue of actuator fault FDI of combined system. The algorithm is based on space geometry method. Firstly, we use space division theory and space projection operation...
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ISBN:
(纸本)9781467374439
In this paper, we propose an algorithm to solve the issue of actuator fault FDI of combined system. The algorithm is based on space geometry method. Firstly, we use space division theory and space projection operation of unobservability subspace to solve system matrix parameters. Then build a residual generator to realize decoupling corresponding relation of residuals and faults in combined system. Finally, the feasibility and effectiveness of the algorithm are shown for actuator FDI by simulations.
This paper addresses the application of hand gesture recognition in monocular image sequences using Active Appearance Model （AAM）, For this work, the proposed algorithm is composed of constricting AAMs and fitting t...
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This paper addresses the application of hand gesture recognition in monocular image sequences using Active Appearance Model （AAM）, For this work, the proposed algorithm is composed of constricting AAMs and fitting the models to the interest region. In training stage, according to the manual labeled feature points, the relative AAM is constructed and the corresponding average feature is obtained. In recognition stage, the interesting hand gesture region is firstly segmented by skin and movement cues. Secondly, the models are fitted to the image that includes the hand gesture, and the relative features are extracted. Thirdly, the classification is done by comparing the extracted features and average features. 30 different gestures of Chinese sign language are applied for testing the effectiveness of the method. The Experimental results are given indicating good performance of the algorithm.
A new method is presented to study the function projective lag synchronization(FPLS) of chaotic systems via adaptive-impulsive control. To achieve synchronization, suitable nonlinear adaptive-impulsive controllers are...
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A new method is presented to study the function projective lag synchronization(FPLS) of chaotic systems via adaptive-impulsive control. To achieve synchronization, suitable nonlinear adaptive-impulsive controllers are designed. Based on the Lyapunov stability theory and the impulsive control technology, some effective sufficient conditions are derived to ensure the drive system and the response system can be rapidly lag synchronized up to the given scaling function matrix. Numerical simulations are presented to verify the effectiveness and the feasibility of the analytical results.
A syntax-oriented method for a map-aided analysis of structures in aerial images is proposed. First the map must be analysed in order to obtain a suitable representation of its knowledge content. A special kind of gra...
A syntax-oriented method for a map-aided analysis of structures in aerial images is proposed. First the map must be analysed in order to obtain a suitable representation of its knowledge content. A special kind of graph, a so-called image-description graph, is the result of this map analysis. The knowledge of the map, represented on different description levels, is used to control the search process during the image analysis. Based on this knowledge, expectations for attribute values of image objects are defined. Generated objects are assessed relative to the expectations of the map and the object model. A set-oriented selection method is applied to deduce the processing priority using these two assessments. Expected objects are preferably processed for building up more complex objects. Thus the map-aided analysis can be used to reduce the processing time for a verification task.
We describe NLSExplorer, an interpretable approach for nuclear localization signal (NLS) prediction. By utilizing the extracted information on nuclear-specific sites from the protein language model to assist in NLS de...
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We describe NLSExplorer, an interpretable approach for nuclear localization signal (NLS) prediction. By utilizing the extracted information on nuclear-specific sites from the protein language model to assist in NLS detection, NLSExplorer achieves superior performance with greater than 10% improvement in the F1 score compared with existing methods on benchmark datasets and highlights other nuclear transport segments. We applied NLSExplorer to the nucleus-localized proteins in the Swiss-Prot database to extract valuable segments. A comprehensive analysis of these segments revealed a potential NLS landscape and uncovered features of nuclear transport segments across 416 species. This study introduces a powerful tool for exploring the NLS universe and provides a versatile network that can efficiently detect characteristic domains and motifs.
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