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A method of optical flow computation based on LUV color space

A method of optical flow computation based on LUV color spac...

引用

International Conference on Test and measurement (ICTM)

作者： Xuezhi Xiang Yu Peng Lei Zhang Department of Automatic Measurement Control Harbin Institute of Technology University Harbin China Information and Communication Engineering College Harbin Engineering University Harbin China

ISBN: (纸本)9781424446995

For improving accuracy of optical flow computation, we propose a new method to compute optical flow from both gray and color information. First, the Gauss filter is used to pre-filter the color image sequence. Then optical flow recovery is based on the method of neighborhood least squares using brightness information. And the weight coefficients of local neighborhood are determined by U and V channels in LUV color space. Finally, the optical flow result is filtered by median filter. The experiment results show that the proposed method produces dense optical flow field and accuracy of the results can also be improved.

关键词： Optical computing Image motion analysis Optical filters Brightness Equations Least squares methods Color Computer vision Fluid flow measurement Space technology

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Research and Implementation of Test Pattern Generation Based on General structure Model of SOC

Research and Implementation of Test Pattern Generation Based...

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International Conference on Information engineering and Computer Science (ICIECS)

作者： Gu Jing Zhichao Wang Xiaoyang Yu Institute of Computer Science and Technology Harbin University of Science and Technology Harbin China Institute of Measurement & Control Technology and Communication Engineering Harbin University of Science and Technology Harbin China

The test vector generation algorithm and the compression algorithm based on general structure model of SoC was introduced in this paper. We have analyzed the PODEM algorithm for test vectors generation and translated the test pattern, and then formed the SoC general structural model test vector. Through the experimental comparison, we find the use of Golomb coding for test vector compression/decompression method is simple and effective, and test data compression rate improved by using the minimizing Hamming distance sorting algorithm to compress and decompress the test vector significantly.

关键词： Test pattern generators Circuit testing Circuit faults Automatic test pattern generation Semiconductor process modeling Application specific integrated circuits Computer science Hamming distance Integrated circuit technology Intellectual property

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Synthesis of β-PbO micro-octahedrons by electrodeposition

Synthesis of β-PbO micro-octahedrons by electrodeposition

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作者： Cheng, Jin Zou, Xiaoping Su, Yi Yang, Gangqiang Lü, Xueming Research Centre for Sensor Technology Beijing Key Laboratory for Sensor Beijing Information Science and Technology University Beijing 100101 China School of Electronic Engineering Beijing University of Posts and Telecommunications Beijing 100876 China Ministry-of-Education Key Laboratory for Modern Measurement and Control Technology Beijing 100101 China

A simple and effective electrochemical deposition method to fabricate lead oxide micro-octahedrons is reported. Unlike previous reports in which the current densities of electrochemical deposition were normally not more than 5 mA/cm2 and resulted in the deposition of lead flakes, the current densities in our process were improved to more than 15 mA/cm2 which results in the deposition of lead oxide micro-octahedrons. Our results indicated that well-shaped lead oxide micro-octahedrons could form at current densities in the range of 1525 mA/cm2. © 2009 World Scientific Publishing Company.

关键词： Current density

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A New Training Algorithm for RBF Neural Network Based on PSO and Simulation Study

A New Training Algorithm for RBF Neural Network Based on PSO...

引用

Computer Science and Information engineering, CSIE, WRI World Congress on FLAGGED

作者： Man Chun-tao Wang Kun Zhang Li-yong School of Automation Harbin University of Science and Technology Harbin China School of Measurement-Control Tech & Communications Engineering Harbin China

Being difficult to determine hidden unitspsilas number and unsuitable to select central position in radial basis function (RBF) layer, particle swarm optimization and resource allocation (RAN) were proposed for training RBF neural networks. First, determine unitspsilas number in RBF layer using RAN. Then, optimize RBF parameters such as central position, width and weights based on PSO. The simulation results show that the new method has better approximation ability, the shorter time and the higher precision.

关键词： Neural networks Particle swarm optimization Radio access networks Function approximation Radial basis function networks Feedforward systems Transfer functions Computer science Computational modeling Computer simulation

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New Approach of Imagery Generation and Target Recognition Based on 3D LIDAR Data

New Approach of Imagery Generation and Target Recognition Ba...

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2009 9th International Conference on Electronic measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI'2009)

作者： Jinhui Lan Zhuoxun Shen Department of Measurement and Control Technologies School of Information EngineeringUniversity of Science and Technology BeijingBeijing 100083China

ISBN: (纸本)9781424438631;9781424438624

Light Detection and Ranging (LIDAR) sensor is an advanced technology of 3D-measurement with high accuracy. The processing of 3D point cloud data collected via LIDAR sensor is of topical interest for 3D target *** this paper,a new approach of imagery generation and target recognition based on 3D LIDAR data is presented. The raw 3D point cloud data are transformed and interpolated to be stored in 2D matrix. The target imagery is generated and visualized by means of height-gray mapping principle proposed in *** different poses of target,the affine invariable moments of target imagery are selected as features for recognition because of its invariance in rotation,scaling,translation and affine *** neural network algorithm and support Vector Machine (SVM) algorithm are utilized as method of target classification and recognition. The recognition results by two algorithms are compared against and analyzed detailedly. The new method had been applied into target recognition in outdoor *** types of targets are classified and the rate of correct recognition is greater than 95%. Through outdoor experiments,it can be proven that this new method is applied to the field of 3D target recognition effectively and stability.

关键词： LIDAR sensor target recognition 3D point cloud imagery generation affine invariable moment.

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Transit Articles Extraction Based on Domestic Fusion Algorithm

Transit Articles Extraction Based on Domestic Fusion Algorit...

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International Joint Conference on Artificial Intelligence, JCAI

作者： Mingyi Wang Liqi Wang School of Measurement and Communication Harbin University of Science and Technology Harbin China School of Computer and Information Engineering Harbin University of Commerce Harbin China

An elaborately designed software architecture is put forward based on fuzzy sets theory (FST), which is specialized in multiple sensor fusion and mechanism failure diagnosis. Besides, when confronted with multiple fault signals, fusion parameters can be dynamically adapted based on principles of fuzzy soft clustering so as to promote immune ability in artificially mechanical systems. The key point in this new approach lies in its power on faults detection, which requires no prior information on the state vectors of the sensors and system behavior, and no supplemental machine learning operation is required. The proposed algorithm combines principles of artificial immune system and the classical technique in fuzzy theory, which will consist of two main portions. In the first part a traditional data fuse structure is constructed, the sensor signals will be fed into it to implement the fuzzy aggregating algorithm.

关键词： Clustering algorithms Sensor fusion Fuzzy systems Software design Software architecture Fuzzy set theory Mechanical systems Fault detection Mechanical sensors Sensor systems

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An Integrating Data Mining Algorithm in Mobile Target Vectoring Based on Kalman Filter

An Integrating Data Mining Algorithm in Mobile Target Vector...

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International Joint Conference on Artificial Intelligence, JCAI

作者： Liqi Wang Mingyi Wang Liyong Zhang School of Computer and Information Engineering Harbin University of Commerce Harbin China School of Measurement and Communication Harbin University of Science and Technology Harbin China

Kalman filter is introduced into the neuro-fuzzy deducing system (NFDS) operation to attenuate disturbances in measurement data. Both of Lidar and infrared radar data sets will be engaged into data fusion, because there will exist defective data points within both of which owing to the respectively distinct running mechanism. Data confidence estimator of NFDS derived from contextual information (CI) theory; command center (CC) and yaw-pitch-distance information fusion algorithms, within whose running process both radar data sets are filtered and fed into specified system to extract confidence degree of radar sensors.

关键词： Data mining Laser radar Airborne radar Aircraft Infrared detectors Attenuation measurement Information filtering Information filters Radar theory Sensor systems

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Research on Intrinsic Safety Behavior of Inductor-Disconnected-Discharge of Boost DC-DC Converters

Research on Intrinsic Safety Behavior of Inductor-Disconnect...

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The Fifth International Conference on Information Assurance and Security(第五届信息保障与安全国际会议)

作者： Liu Shulin Li Yan School of Electrical and Control Engineering Xi'an University of Science & Technology Xi'an CHINA School of Communication and Information Engineering Xi'an University of Science & Technology Xi'an C

ISBN: (纸本)9780769537443

Inductor-Disconnected-Discharge (IDD) behavior of the Boost Converter is analyzed, an Equivalent-Resistance-Analysis Method (ERAM) is proposed, which can convert the IDD behavior of the Boost Converter into that of an equivalent Simple-Inductive-Circuit (SIC). According to the energy equivalence, the equivalent inductor-current of the equivalent SIC is obtained. It is indicated that the Equivalent Inductor-Current (EIC) is much more than the maximal inductorcurrent of the Boost converter, the ignition in the case of IDD may occurs even if the inductor-current of the Boost converter is much lower than that of the SIC, furthermore, the EIC is strengthened with increase of the output capacitance. The proposed analysis method is verified by experiment results.

关键词： Intrinsic safety Boost DC-DC converter Inductor-Disconnected-Discharge inductor-current

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The Hardware and Software Design of LCD Display of Intelligent Analysis Instrument Based on S3C2410 Processor

The Hardware and Software Design of LCD Display of Intellige...

引用

WRI World Congress on Software engineering, WCSE

作者： Wei Li Heng Yang Ming Chen Ping Li Department of Measurement & Control Technology and Apparatus Engineering School of Automation Northwestern Polytechnical University Xi'an China Department of Measurement & Control Technology and Apparatus Engineering University Xi'an China International Digital & Embedded Technology Certificate Singapore Singapore School of Software Xi''an Jiaotong University Xi'an China School of Software Xi'an Jiaotong University Xi'an China

This intelligent analysis instrument is equipped TFT LCD as displaying terminal. First, timing and logic requirements of a typical TFT LCD are introduced. Hardware circuit between microprocessor S3C2410 and TFT LCD module are designed. Then, based on Windows CE, developing software driver code mainly focus on setting related registers of displaying interface and adjusting the position of displaying area. Thus, system will be displayed fluently and stably. Practice has proved that the TFT LCD hardware and software design is an effective solution for the application.

关键词： Hardware Software design Liquid crystal displays Instruments Thin film transistors Timing Logic Microprocessors Driver circuits Registers

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Research on focal length determination technique of laser test system based on Talbot effect

Research on focal length determination technique of laser te...

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4th International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and measurement technology and Equipment

作者： Wu, Ling-Ling Zheng, Li Wu, Guo-Jun Cang, Yu-Ping Chen, Liang-Yi Xi'an Institute of Optics and Precision Mechanics Chinese Academy of Sciences Xi'an 710119 China Graduate School of the Chinese Academy of Sciences Beijing 100039 China Measurement and Control Technology and Instrumentation School of Optoelectronic Engineering Xi'an Technological University Xi'an 710032 China Henan Institute of Metrology Zhengzhou 450008 China

ISBN: (纸本)9780819475435

A method for measuring focal length based on Talbot effect is put forward, which suits determining focal length of long-focus lens. The variation of Moiré fringes occurs after typical phase object of measuring lens is laid between two gratings. The images of fringes taken by CCD camera are processed with MATLAB. The focal length of measuring lens is figured out accurately after calculating the slope of fringes, the separation angle between two grating lines and measuring the distance between lens and the second grating. Experimental data indicate that, for a system with laser wavelength of 0.65m, measuring lens wth focal length of 420mm, the measurement accuracy is 0.10%.So this method has advantages of simple device, fast processing speed and high precision. It satisfies focal length determination of long focal-length lens used in SG-III Facility. © 2009 SPIE.

关键词： CCD cameras

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