The commonly used linearinterpolation methods in the NC system are point by point comparison method, digital integration method and minimum deviation method. All of these interpolationalgorithm need operation in eac...
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ISBN:
(纸本)9781510830363
The commonly used linearinterpolation methods in the NC system are point by point comparison method, digital integration method and minimum deviation method. All of these interpolationalgorithm 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 linearinterpolation. 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.
High precision automated size measurements are required during industrial and scientific applications. The principle of sub-pixel measuring is based on an intensity interpolationalgorithm. Combined with the character...
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High precision automated size measurements are required during industrial and scientific applications. The principle of sub-pixel measuring is based on an intensity interpolationalgorithm. 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.
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 detect...
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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.
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 int...
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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 interpolationalgorithm 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 interpolationalgorithm 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.
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...
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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 *** interpolationalgorithm 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 interpolationalgorithm 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.
Considering nonlinear behaviors and environmental disturbance of the boiler pressure control system, a linearinterpolation fuzzy controller is developed. First, according to the conventional discrete fuzzy control pr...
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Considering nonlinear behaviors and environmental disturbance of the boiler pressure control system, a linearinterpolation 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 bilinearinterpolation 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.
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 multithreadi...
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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 linearinterpolation L=512. When the three optimization methods are utilized simultaneously, the delay can be cut off remarkably compared with no optimization method utilized.
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 ...
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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 linearinterpolation *** instructions and multithreading can solve this problem via increasing the computing parallel *** interpolationalgorithm 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 linearinterpolation L=*** the three optimization methods are utilized simultaneously,the delay can be cut off remarkably compared with no optimization method utilized.
A linearinterpolation 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...
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A linearinterpolation 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, bilinearinterpolation 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.
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