Papers by Keyword: Linear Interpolation

Abstract: This paper was based on the Poyang lake Basin’s 55a rainfall data (1959 ~2014). First, the recursive linear interpolation method was used to complete the daily precipitation observation data of 55a to establish the Poyang lake basin’s data. Then the linear regression method was used to study the change trend of Poyang lake basin: the number of days of rainfall, days of light rain, days of heavy rain, days of rainstorm and days of continuous no rainfall. The results suggest that: 1) In the past 55a, there is no apparently change trend in precipitation between the annual and flood season. The precipitation has been with cyclical fluctuations. 2) The monthly variation trends in the water level of stations in Poyang lake basin are basically in accordance with the precipitation’s trends. 3) The precipitation has similar characteristics in spatial distribution between the annual and flood season, most concentrates in Raohe basin and XinJiang basin. 4) The total number of rainy days and light rain days shows a decreasing trend, but the heavy rain days and rainstorm days increase significantly on versus. The precipitation intensity has enhanced, also the days of continuous no rainfall show an increasing trend. That is the drought flood risk increases.

Abstract: In 2012, the ministry of agriculture released data showed that the import and export trade deficit of China's agricultural products had reached 49190000000 US dollars. China is a large agricultural country, agricultural crop occupies world front row, but export transactions accounted for the total trading lower percentage, the main reason is the quality testing technology that does not pass, detection technology is relatively backward, in this background, this paper puts forward a kind of advanced agricultural products quality control technology - computer visual information retrieval control technology. On the basis of the two-order upwind and linear interpolation theory, the use of image segmentation technology can successfully establish a computer vision inspection of agricultural products to mathematical model, and the establishment of the interpolation functions. Finally this paper is based on peanut detection as an example, the 50 cases of peanut quality are detected by using computer vision nondestructive technology testing, and the use of MATLAB software carries out mathematical statistics for its quality situation, the test results and the artificial inspection results are compared to verify the reliability of computer vision quality detection.

Abstract: In order to improve the accuracy of the-5-DOF-hybrid robot motion control, it is necessary to establish a mathematical model of the error in the interpolation process. On the basis of the structure characteristics of five degrees of freedom hybrid robot and the algorithm of linear interpolation and circular interpolation, the error calculation patterns about the concave surface machining and convex surface machining are set up respectively in the paper. Then, examples are analyzed. The results show that the nonlinear error caused by using the straight-line interpolation method is much smaller than the normal vector rotation error and linear approximation error; when conducting surface machining, the error caused by the application of circular interpolation algorithm is less than linear interpolation error. By the comparison of the error analysis of different interpolation method, the control methods for reducing errors are proposed.

Abstract: In this study, we propose a facial feature replacement system, which uses the triangulation algorithm to perform facial feature replacement in each segmented triangular region associated with control points. The experimental results show that our system provides quite natural composite images. In addition, the system is flexible and has no limit in the shape, size, and plane rotation of the faces which are processed.

Abstract: Normalization is the main part of optical fiber capacity drop analysis technique. This paper introduces the improvement of normalization by using new method to get the normalization points. The improved normalization algorithm can solve the problem that drop fingerprints cannot be compared with each other, and can eliminate the interference brought in by other factors.

Abstract: Common digital differential analyzer（DDA）linear interpolation error is lower than a pulse equivalent, and the output pulse along each axis is not uniform. New DDA linear interpolation flow chart was obtained by combining a quick algorithm of DDA interpolation and interpolating algorithm for pulses uniformization with common DDA linear interpolation principle. The relationship between interpolation error and pulse equivalent was demonstrated in detail. As the results shows, the new DDA with high precision machining but simple algorithm, increased interpolating speed; the new algorithm make the generation of uniform pulse series come true, which is of great importance to keep stepping motor rotating steadily without missing steps; At coordinate origin, interpolation error is lower than 0.42 pulse equivalent, while the interpolation point is not at coordinate origin, interpolation error is lower than 0.5 pulse equivalent.

Abstract: Abstract：This paper analyses the causes and effective estimation method of nonlinear error; By machine tool motion solution, established a five-axis machine tool BV100 motion transformation mathematical models, combined with linear interpolation principle established the error compensation and nonlinear motion error model of the machine tool .by VB language, developed nonlinear error compensation function of special post process; and through the impeller cutting experiment validate the processor is correct and practical.

Abstract: To solve the problem that the duration is too long when the change of the measuring process data of industrial real-time database appears slow, the double compression algorithm with linear interpolation of dynamic threshold is advanced. Good compression quality and reduction effect of process data is accessed. The compression and fitting times are less than 1ms, and the compression ratio is 6:1 on the 6000 real-time data compression. The compression time is short, and the compression ratio is high. The fitting error between each fitted value and the original value is within the threshold 1.0. The comprehensive performance is better than SLIM and Swinging Door compression algorithm.

Abstract: The servo system consisting of PC computer, multi-axis motion control card, servo driver, servo motor and load was constructed. The paper studied the interpolation principle and edited the procedure of linear interpolation for two axis servo motors. After the communication between PC computer and servo driver based on the motion control card, the paper edited the control interface program calling the interpolation procedure, which could realize the simulation control and real time control to servo motors. The compare results show the control accuracy of the experiment is higher.

Abstract: Because of the rotate kinematics, the machining of 5-axis brings up the non-linear error. The RTCP (Rotation Tool Center Point) function can always make the interpolated point on the programming track by a real-time linear compensation of CNC system for motion of the rotary axes. Based on detailed analysis of the kinematics principle of 5-axis machine with dual rotary tables, a new design of interpolated algorithm integrated with RTCP function is presented which is simulated in MATLAB, and the result indicates that the algorithm can reduce the non-linear error effectively.