Applied Mechanics and Materials Vols. 423-426

Abstract: This article describes the design of High-Precision Temperature Measurement System based on C8051F350 and PT100. The system consists of the control circuit, temperature sensors, signal amplification circuit, field bus interface circuit. The system adopts constant current source method and a differential measurement circuit. A 24-bit A/D built in the CPU is used to sample the data and Non-linear compensation by software algorithms for it. The design improves the accuracy of the temperature measurement system.

Abstract: On-line monitoring of lightning,ice,short circuit on electric transmission line and insulator's operation state is of great significance to ensure the safe and stable operation of the electric transmission line.An intelligent composite insulator,in which the core rod has fiber Bragg gratings is developed.lightning,ice,short circuit on electric transmission line and insulator's operation state can be reflected by monitoring the center wavelengths of the fiber Bragg gratings.The temperature, strain response and electrical performance testing experiments on 110 kV fiber composite insulator were done,the result indicates that the optical fiber composite insulator can measure the temperature accurately;the load of composite insulator can be monitored approximately by no. 2 and no.4 monitoring sites;the110 kV fiber composite insulator’s dry lightning impulse withstand voltage is 421 kV,the normal polarity of steep wave impulse voltage withstand voltage is 434 kV(steepness:1206kV/μs),the negative polarity withstand voltage is 444 kV(steepness:1132kV/μs)and the dry power frequency withstand voltage is 230 kV at the altitude of 1970m.

Abstract: How to effectively extract contour dominant points is one of key problems in process of industrial CT image, second extraction method was put forward. Second extraction method included two steps: rough extraction and accurate extraction. Firstly, discrete circular curvatures of contour points are calculated. Secondly, through rough extraction step, bad points and points which arent correlated with contour features were removed. At last, through accurate extraction step, contour dominant points were extracted by levels of detail. Experimental results show that contour dominant points can describe contours shape and redundant data are removed, the proposed method is simple and efficient.

Abstract: By analyzing the test method named orthogonal 12 points for accelerometer, there are several problems to be solved in the temperature experiments for accelerometer. In order to study the temperature characteristics of the accelerometer for better, the testing system for accelerometer based on Labview is designed and the composition of the system is introduced. The microprocessor used in the temperature experiment is C8052F series microcontrollers. A 24-bit A/D converter is embedded in the microprocessor and the resolution of 0.149 microvolts can meet the accuracy requirements of the accelerometer. According to the requirements of high accuracy and test efficiency for accelerometer, the digital multi-channel testing technology is applied to realize the accurate test. The application in temperature experiments indicates that this precise and steady testing system can meet the requirement of accelerometer calibrating & testing completely.

Abstract: On the issue of interferogram filter in Interferomatric Synthetic Aperture Sonar(InSAS), P - M model based on partial differential equation (PDE) can not only remove noise effectively, but also better keep the interferogram details and edge information. But its computation efficiency is relatively low and it can not be parallelized to real-time processing. Aiming to overcome these shortcomings, a de-noising method based on lattice Boltzmann method(LBM) is introduced. Processing results of the simulation and real experimental data show that the interferogram filtering method based on LBM can de-noise more effectively, and its calculation efficiency is better. In view of it, LBM can be used for real-time processing.

Abstract: This paper proposes an automatic point clouds registration method based on High-Speed Mesh Segmentation. The proposed method works fast for doing an initial registration and extracting point clouds region feature. First, the features of the point region are used for matching point cloud regions. Second, matched regions sets are classified for calculating transform matrix of initial registration. Based on the initial registration result the Iterative Closest Point (ICP) algorithm which had been used for accuracy registration to composite point cloud pairs will be applied. The proposed registration approach is able to do automatic registration without any assumptions about their initial positions, and avoid the problems of traditional ICP in bad initial estimate. The proposed method plus with ICP algorithm provides an efficient 3D model for computer-aided engineering and computer-aided design.

Abstract: The key technique to increase the accuracy of electronic marking is the technique of image matching, namely to match two doubtfully duplicate images. Currently there are few technologies aiming for features on test paper images with high performance on matching accuracy. The research is based on SURF algorithm and specific to the features of test paper images. Thus the research is to put forward the modified algorithm with constraints among feature spots of orientation angles on their geometrical positions, including differential constraints on critical points from approximate blank test papers with less individual features at the same time. After processing and analyzing 2,000 test paper gathered from one actual examination, the results show that the modified detection algorithm has 100% false rejection rate and 100% accuracy when it is used to detect the test paper matching.

Abstract: This paper analyzes the sporopollen samples based on the transitive closure method of fuzzy equivalent relation and gets the classification results, while using the F statistic gives the best classification result, and determines its ownership of an unknown class sample by taking advantage of fuzzy pattern recognition methods.

Abstract: In order to effectively assist the researchers conduct quantitative analysis of ceramic microstructures, a segmentation algorithm based on mean shift is used for the ceramic microstructure image. Since the collection and transfer process of microscopic image will inevitably be subject to uneven distribution of light, electronic noise and other interference factors which make the image quality deterioration, it is necessary to reduce noises and enhance edges for ceramic microscopic image processing at first. Therefore, the median filter is used to remove the noises in the ceramic microstructure images. Then the component with similar feature is separated and merged by the mean shift segmentation algorithm. Experiments show the proposed algorithm of using median filter and mean shift clustering gives satisfactory results.

Abstract: This paper proposes a three-dimensional CT imaging (3DCT) method to show the anatomical structures. With the CT volume scanning data, 3DCT imaging with volume rendering of separating, fusing, opacifying and false-coloring (SFOF-VR) techniques was done on the workstation. SFOF-VR, with separately and jointly showing the complicated anatomy and their spatial relations, is valuable in finding the variations of bone, artery and vein, and diagnosing their diseases. When comparing with routine volume rendering (R-VR), SFOF-VR provides more clear and direct anatomical basis for imaging diagnosis and surgical operation.