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2007 8th International Conference on Electronic Measurement & Instruments（ICEMI’2007）

作者： Li Jimin (Mechanical Engineering College Shijiazhuang 050003 China)

In the field of fault diagnosis of electronic circuits, because of the complexity of the electronic equipments and instability of the running environment, the single diagnosis result may be uncertain. The uncertainty can reduce the veracity of fault diagnosis. data fuse technique provides a new path for this problem. A method which can deal with the result of the K node diagnosis, direct current analysis, and alternating current impedance characteristics is proposed in this paper. Fault diagnosis of analog circuits based on D-S Evidence theory is introduced and the distribution of credibility of the various methods is given in the paper. According to the theory analysis and the simulation result, the proposed method can reduce fuzzy obviously and raises the accuracy of fault diagnosis though fusing useful information provided by different diagnosis methods.

关键词： fault diagnosis electronic circuits data fusion technique

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Color Edge Detection Using Multidirectional Sobel Filter and Fuzzy fusion

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Computers, Materials & Continua 2023年第2期74卷 2839-2852页

作者： Slim Ben Chaabane Anas Bushnag Computer Engineering Department Faculty of Computers and Information TechnologyUniversity of TabukTabuk 47512Saudi Arabia Electrical Engineering Department University of Tunis CEREPENSIT 5 AvTaha Hussein1008TunisTunisia

A new model is proposed in this paper on color edge detection that uses the second derivative operators and data fusion *** secondorder neighborhood shows the connection between the current pixel and the surroundings of this *** connection is for each RGB component color of the input *** the image edges are detected for the three primary colors:red,green,and blue,these colors are merged using the combination ***,the final decision is applied to obtain the *** process allows different data sources to be combined,which is essential to improve the image information quality and have an optimal image ***,the segmentation results of the proposed model are ***,the classification accuracy of the tested data is assessed,and a comparison with other current models is *** comparison results show that the proposed model outperforms the existing models in image segmentation.

关键词： Segmentation edge detection second derivative operators data fusion technique fuzzy fusion classification

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