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2016 International Conference on Computer Engineering,Information Science & Application Technology(ICCIA 2016)

作者： Min Zeng Yanjie Zhang Jian Huang School of Mechanical and Automotive Engineering South China University of Technology

ISBN: (纸本)9781510830363

The commonly used linear interpolation methods in the NC system are point by point comparison method, digital integration method and minimum deviation method. All of these interpolation algorithm need operation in each feeding period, which consume CPU time severely, and makes the stepping motor vulnerable to violent vibration. When the ratio of rotational speed of Y-axis motor over that of X-axis motor is identical to the slope of theoretical line, resultant velocity of the speed of the X-axis and the Y-axis is parallel to the theoretical line according to velocity synthesis principle. This paper demonstrated that by using this method, CPU only needed to operate once and can make the velocity of X-axis and the Y-axis unchanged, to complete linear interpolation. In addition, the algorithm error was shown smaller than 1 pulse equivalent by theoretical analysis and MATLAB. By using MATLAB to compare this algorithm presented here with point by point comparison algorithm in terms of speed and interpolation calculation time, it was indicated that the algorithm was promising in industry application.

关键词： linear interpolation algorithm One interpolation operation Stable velocity Resultant velocity Operate once

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Precise sub-pixel size measurement with linear interpolation

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OPTICA APPLICATA 2015年第1期45卷 113-123页

作者： Yin, Aijun Yang, Zhengyi Long, Guangqian State Key Lab Mech Transmiss Chongqing 400044 Peoples R China Chongqing Univ Sch Software Engn Chongqing 401331 Peoples R China

High precision automated size measurements are required during industrial and scientific applications. The principle of sub-pixel measuring is based on an intensity interpolation algorithm. Combined with the characteristics of light, a system with high precision, short measuring time and low cost was developed. The proposed system is then applied to the measurement of 5 cm objects and compared with traditional measuring techniques. The experiment demonstrates that the measuring accuracy can reach up to 0.012 mu m, and that the measurement size of the system is practical and prompt. In addition, it is able to meet the requirement for industrial applications in a variety of settings with stable performance and high precision.

关键词： geometry size measurement linear image sensor linear interpolation algorithm

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A linear interpolation Fuzzy Controller for a Boiler Pressure Control System

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IFAC Proceedings Volumes 2013年第5期46卷 650-654页

作者： Yanhong BAI Zhijuan ZHAO Zhiyi SUN Long QUAN School of Electronics Information Engineering Taiyuan University of Science and Technology Taiyuan 030024 China Key Laboratory of Advanced Transducers and Intelligent Control system Ministry of Education Taiyuan University of Technology Taiyuan 030024 China

Considering nonlinear behaviors and environmental disturbance of the boiler pressure control system, a linear interpolation fuzzy controller is developed. First, according to the conventional discrete fuzzy control principle, a discrete fuzzy controller for the system is designed and a 2-D fuzzy control lookup table is deduced. Then, to overcome the conventional fuzzy controller's disadvantage of lower precision caused by discretization, a bilinear interpolation 2-D table lookup method is used to replace the exact lookup method, with which continuous output can be obtained from the discrete control table. Finally, based on the existed computer control system and boiler system hardware configuration, hard-in-loop real-time simulation system is established in Matlab/RTWT. Lots of experiments are carried out. And the results prove that better control performance can be achieved with the proposed control scheme.

关键词： fuzzy controller linear interpolation algorithm Matlab/RTWT hard-in-loop simulation

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Automatic detection and removal of high-density impulse noises

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IET IMAGE PROCESSING 2015年第2期9卷 162-172页

作者： Bai, Tian Tan, Jieqing Hefei Univ Technol Sch Comp & Informat Hefei Peoples R China Univ Sci & Technol China Sch Software Engn Hefei 230026 Peoples R China

This study presents a novel method for automatic detection and removal of high-density impulse noises. The method consists of two parts: the impulse detection part and the impulse noise removal part. In impulse detection part, an automatic detector based on local mean and variance (LMVD) is presented, which can automatically pick out noisy image from massive images and output corrupted grey levels. The detector utilises LMVD of the neighbourhood of corrupted pixels to simulate the cognitive processes of human observing noisy image. In impulse noise removal part, the Newton-Thiele filter (NTF) instead of median filter is applied to remove impulse noise. The process to construct NTF can be divided into two steps: setting up the grid and constructing the Newton-Thiele's rational interpolation on the grid. First, eight adjacent pixels of the corrupted centre pixel are used to construct the two-dimensional grid. If a pixel in the grid is corrupted, a four-direction linear interpolation algorithm will be performed to provide a rough estimate to the corrupted pixel. Second, the corrupted centre pixel value will be updated by Newton-Thiele's rational interpolation on the grid. The NTF has better robustness than existing filters because it does not need to adjust window size or other parameters. Simulations reveal that the proposed detector and filter have perfect performance in terms of both quantitative evaluation and visual quality, especially it can remove the impulse noise effectively even at 90% noise level.

关键词： image denoising impulse noise interpolation nonlinear filters automatic impulse detector local mean and variance massive image corrupted pixels human observing noisy image cognitive process Newton-Thiele filter NTF Newton-Thiele rational interpolation linear interpolation algorithm visual quality LMVD high-density impulse noises removal impulse noise automatic detection

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A linear interpolation Fuzzy Controller with NN Compensator for an Electro-hydraulic Servo System

A Linear Interpolation Fuzzy Controller with NN Compensator ...

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International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)

作者： Zhiyi SUN Yanhong BAI Shaojuan YU Long QUAN School of Electronic Information Engineering Taiyuan University of Science and Technology Taiyuan 03 Institute of Mechatronics Engineering Taiyuan University of Technology Taiyuan 030024 China

A linear interpolation fuzzy controller with NN compensator is proposed for an electro-hydraulic position servo system. First, to overcome the conventional fuzzy controller's disadvantage of lower precision caused by discretization, bilinear interpolation 2-D table lookup method is used to replace the exact lookup method. Then, to minimize the steady state error caused by force load, a neural network feedforward compensator is proposed. Finally, to imitate the practical system, co-simulation technique between AMESim and MATLAB/Simulink is adopted. The model of the valve controlled hydraulic cylinder system is constructed in AMESim, which can reflect the nonlinear characteristics of the system. And the controller model is established in Simulink. Lots of simulation experiments are carried out. And the simulating results indicate that with the proposed control scheme good dynamic and static control performance can be achieved. The steady state error caused by discretization can be avoided and that caused by force load can be minimized.

关键词： electro-hydraulic servo system fuzzy controller linear interpolation algorithm NN compensator control precision

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Study on Real-time Traffic Data Modification Method Based on the Improved Etkin interpolation algorithm

Study on Real-time Traffic Data Modification Method Based on...

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International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI)

作者： QiangGao YuanliGu TenghuaZhang Beijing Jiaotong Univ MOE Key Lab Transportat Complex Syst Theory & Tec Beijing Peoples R China

ISBN: (纸本)9783038350125

Identification and modification of real-time traffic data has been the basic and critical part in the intelligent transportation system. Through the research to a large number of data, the original data is divided into the correct data, the irregular time-point data, inaccurate detection data, missing data and event data. Etkin interpolation algorithm is to gain the values of specified missing value by a successive approximation method with high order polynomial and implemented by using a successive approximation of multiple linear combinations. The paper selects improved Etkin interpolation algorithm to correct the traffic data and makes use of the DongZhiMen Bridge North 728 meters' 2001 detector data for example. The algorithm not only considers the practicability in the engineering practice, but also improves the accuracy of real-time data.

关键词： intelligent transportation data identification data modification improved Etkin interpolation algorithm linear interpolation algorithm

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Optimization and Implementation of SCME Channel Model on GPP

Optimization and Implementation of SCME Channel Model on GPP

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5th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications (MAPE)

作者： Xu, Meng Niu, Kai He, Zhiqiang Beijing Univ Posts & Telecommun Minist Educ Key Lab Universal Wireless Commun Beijing 100088 Peoples R China

ISBN: (纸本)9781467360791;9781467360777

This paper presents the implementation and optimization of the SCME (Spatial Channel Model Extension) on the GPP (General Purpose Processor) platform using SSE (Streaming SIMD Extensions) instructions and multithreading technique. The SCME which is the expansion of the SCM (Spatial Channel Model) introduces the concept of "mid-paths" and can support up to 100 MHz bandwidths in 2 similar to 5 GHz frequency range. In this paper we demonstrate detailed computational analysis of the SCME. In order to reduce the latency, it is very significant to optimize the program. Three optimization methods are proposed: SSE instructions, multithreading and linear interpolation algorithm. SSE instructions and multithreading can solve this problem via increasing the computing parallel degree. linear interpolation algorithm can reduce the complexity effectively by considering the effectiveness of the sampling rate. From the experiment result we can get that the SSE instructions with the help of IPP (Integrated Performance Primitives) library function can reduce the delay to 1/5 when operating in 32-bit floating-point, multithreading can reduce the delay to 2/5, meanwhile linear interpolation algorithm can reduce the delay to 1/20 with large amount data and ration of linear interpolation L=512. When the three optimization methods are utilized simultaneously, the delay can be cut off remarkably compared with no optimization method utilized.

关键词： SCME GPP SSE instructions latency linear interpolation algorithm

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Optimization and Implementation of SCME Channel Model on GPP

Optimization and Implementation of SCME Channel Model on GPP

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2013 IEEE 5th International Symposium on Microwave,Antenna,Propagation and EMC Technologies for Wireless Communications

作者： Meng Xu Kai Niu Zhiqiang He Key Laboratory of Universal Wireless Communication Ministry of Education Beijing University of Posts and Telecommunications

ISBN: (纸本)9781467360760

This paper presents the implementation and optimization of the SCME(Spatial Channel Model Extension) on the GPP(General Purpose Processor) platform using SSE(Streaming SIMD Extensions) instructions and multithreading *** SCME which is the expansion of the SCM(Spatial Channel Model) introduces the concept of "mid-paths" and can support up to 100 MHz bandwidths in 2～5 GHz frequency *** this paper we demonstrate detailed computational analysis of the *** order to reduce the latency,it is very significant to optimize the *** optimization methods are proposed:SSE instructions,multithreading and linear interpolation *** instructions and multithreading can solve this problem via increasing the computing parallel *** interpolation algorithm can reduce the complexity effectively by considering the effectiveness of the sampling *** the experiment result we can get that the SSE instructions with the help of IPP(Integrated Performance Primitives) library function can reduce the delay to 1/5 when operating in 32-bit floating-point,multithreading can reduce the delay to 2/5,meanwhile linear interpolation algorithm can reduce the delay to 1/20 with large amount data and ration of linear interpolation L=*** the three optimization methods are utilized simultaneously,the delay can be cut off remarkably compared with no optimization method utilized.

关键词： SCME GPP SSE instructions latency linear interpolation algorithm Latency Streaming SIMD Extensions Multithreading channel model linearly independant Optimization methods optimization method interpolation Arithmetic

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Study on Real-time Traffic Data Modification Method Based on the Improved Etkin interpolation algorithm

Study on Real-time Traffic Data Modification Method Based on...

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2014 International Conference on Advances in Materials Science and Information Technologies in Industry(AMSITI 2014)

作者： QiangGao YuanliGu TenghuaZhang MOE Key Laboratory for Transportation Complex Systems Theory and Technology Beijing Jiaotong University Beijing Traffic Management Bureau Beijing Municipal Public Security Bureau

Identification and modification of real-time traffic data has been the basic and critical part in the intelligent transportation *** the research to a large number of data,the original data is divided into the correct data,the irregular time-point data,inaccurate detection data,missing data and event *** interpolation algorithm is to gain the values of specified missing value by a successive approximation method with high order polynomial and implemented by using a successive approximation of multiple linear *** paper selects improved Etkin interpolation algorithm to correct the traffic data and makes use of the DongZhiMen Bridge North728 meters' 2001 detector data for *** algorithm not only considers the practicability in the engineering practice,but also improves the accuracy of real-time data.

关键词： intelligent transportation data identification data modification improved Etkin interpolation algorithm linear interpolation algorithm

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