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improved algorithm for Solving Inverse Kinematics of Biped Robots

MOBILE NETWORKS & APPLICATIONS 2022年第3期27卷 975-983页

作者： Jing, Chenglin Zheng, Jiajia Guizhou Univ Finance & Econ Sch Math & Stat Guiyang 550025 Peoples R China Guizhou Univ Finance & Econ Lib Guiyang 550025 Peoples R China

Inverse kinematics is an important basic theory in walking control of biped robot. This study focuses on the parameter setting using the improved algorithm in inverse kinematics. By analyzing the process of whether can the robot legs arrive at the expected positions from different initial positions, the parameter value range is determined. It must be noted that, the parameter values exhibit clear physical significance. The robot legs can move stably within the allowable value range. Furthermore, the superiority of the improved algorithm was validated by 3D simulation of leg motion. Moreover, the present study can provide theoretical basis for optimizing the leg motion of biped robot and developing the related prototype.

关键词： Biped robot Inverse kinematics Forward kinematics Original algorithm improved algorithm

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An improved algorithm for generating global window brightness temperatures from multiple satellite infrared imagery

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JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY 2000年第10期17卷 1296-1312页

作者： Hodges, KI Chappell, DW Robinson, GJ Yang, G Univ Reading Environm Syst Sci Ctr Reading RG6 6AL Berks England Univ Reading Ctr Global Atmospher Modeling Reading Berks England

An improved algorithm for the generation of gridded window brightness temperatures is presented. The primary data source is the International Satellite Cloud Climatology Project, level B3 data, covering the period from July 1983 to the present. The algorithm rakes window brightness, temperatures from multiple satellites, both geostationary and polar orbiting, which have already been navigated and normalized radiometrically to the National Oceanic and Atmospheric Administration's Advanced Very High Resolution Radiometer, and generates 3-hourly global images on a 0.5 degrees by 0.5 degrees latitude-longitude grid. The gridding uses a hierarchical scheme based on spherical kernel estimators. As part of the gridding procedure, the geostationary data are corrected for limb effects using a simple empirical correction to the radiances, from which the corrected temperatures are computed. This is in addition to the application of satellite zenith angle weighting to downweight limb pixels in preference to nearer-nadir pixels. The polar orbiter data are windowed on the target time with temporal weighting to account for the noncontemporaneous nature of the data. Large regions of missing data are interpolated from adjacent processed images using a form of motion compensated interpolation based on the estimation of motion vectors using an hierarchical block matching scheme. Examples are shown of the various stages in the process. Also shown are examples of the usefulness of this type of data in GCM validation.

关键词： .weighting kernel spherical Gridded hierarchical IMAGERY window brightness multiple satellites improved algorithm Generating Global gridding satellite zenith angle polar orbiter

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improved algorithm of cluster-based routing protocols for agricultural wireless multimedia sensor networks

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International Journal of Agricultural and Biological Engineering 2016年第4期9卷 132-140页

作者： Zhang Fu Liu Hongmei Wang Jun Qiu Zhaomei Mao Pengjun Zhang Yakun College of Agricultural Equipment Engineering Henan University of Science and TechnologyLuoyang 471003China Collaborative Innovation Center of Machinery Equipment Advanced Manufacturing of Henan Province Luoyang 471003China

Low Energy Adaptive Clustering Hierarchy(LEACH)is a routing algorithm in agricultural wireless multimedia sensor networks(WMSNs)that includes two kinds of improved protocol,LEACH_D and LEACH_*** this study,obstacles were overcome in widely used *** improved algorithm was proposed to solve existing problems,such as energy source restriction,communication distance,and energy of the *** optimal number of clusters was calculated by the first-order radio model of the improved algorithm to determine the percentage of the cluster heads in the *** energy and the near sink nodes were chosen as cluster heads based on the residual energy of the nodes and the distance between the nodes to the sink *** the same time,the K-means clustering analysis method was used for equally assigning the nodes to several clusters in the *** simulation and the verification results showed that the survival number of the proposed algorithm LEACH-ED increased by 66%.Moreover,the network load was high and network lifetime was *** mathematical model between the average voltage of nodes(y)and the running time(x)was concluded in the equation y=−0.0643x+4.3694,and the correlation coefficient was R2=*** research results can provide a foundation and method for the design and simulation of the routing algorithm in agricultural WMSNs.

关键词： wireless sensor networks routing protocol LEACH algorithm improved algorithm cluster head K-means clustering

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improved algorithm for Sub-pixel Edge Detection Based on Zernike Moments

Improved Algorithm for Sub-pixel Edge Detection Based on Zer...

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2nd International Conference on Material and Manufacturing Technology (ICMMT 2011)Progress Meeting of the Royal-Society-of-Tropical-Medicine-and-Hygiene's Annual Research

作者： Zhao, Baoyong Qi, Yingjian Univ Sci & Technol Beijing Sch Informat Engn Key Lab Adv Control Iron & Steel Proc Minist Educ Beijing 100083 Peoples R China Commun Univ China Sch Sci Beijing 100024 Peoples R China

ISBN: (纸本)9783037852521

The principle of Zernike moments and the method of sub-pixel edge detection based on Zernike moments were introduced in this paper. With the consideration of the limitation of the sub-pixel edge detection algorithm by Ghosal, such as the lower location precision of the edge and the extracted wider edge than that of the original image, an improved algorithm was proposed. On the one hand, a mask of size nine multiply nine was calculated and could be applied for the edge detection. On the other hand, a new criterion for edge detection was put forward. Additionally, a series of experiments were designed and implemented. The experiment results show that accuracy of the improved algorithm is higher than that obtained from using other size templates and Ghosal algorithm.

关键词： Zernike moments Sub-pixel Edge detection improved algorithm

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improved algorithm of LED Display Image Based on Composed Correction

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International Conference on Advances in Computer Science, Environment, Ecoinformatics, and Education

作者： Song, Xi-jia Ma, Xi-qiang Liu, Wei-ya Zheng, Xi-feng Chinese Acad Sci Changchun Inst Opt Fine Mech & Phys Changchun 130033 Peoples R China

ISBN: (纸本)9783642233203;9783642233210

In order to enhance the display result of the LED display image, an improved algorithm of LED display image based on composed correction is proposed. Firstly, the correction principle and the development status of the current correction technologies of the LED display image is introduced, and the two main correction technologies are analyzed. Secondly, the theory of composed correction is proposed by constructing a mathematical model. Thirdly, this algorithm is achieved in VHDL which is one of hardware description language, and verified in an experimental platform. Experimental results show that this algorithm is able to enhance the display result of the LED display image significantly.

关键词： improved algorithm LED display image composed correction

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AN improved algorithm FOR DPIV CORRELATION ANALYSIS

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Journal of Hydrodynamics 2007年第1期19卷 62-67页

作者： WU Long-hua College of Water Conservancy and Hydropower Engineering Hohai University Nanjing 210098 China

In a Digital Particle Image Velocimetry （DPW） system, the correlation of digital images is normally used to acquire the displacement information of particles and give estimates of the flow field. The accuracy and robustness of the correlation algorithm directly affect the validity of the analysis result. In this article, an improved algorithm for the correlation analysis was proposed which could be used to optimize the selection/determination of the correlation window, analysis area and search path. This algorithm not only reduces largely the amount of calculation, but also improves effectively the accuracy and reliability of the correlation analysis. The algorithm was demonstrated to be accurate and efficient in the measurement of the velocity field in a flocculation pool.

关键词： Digital Particle Image Velocimetry (DPIV),correlation analysis improved algorithm

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An improved algorithm for spectral emissivity measurements at low temperatures based on the multi-temperature calibration method

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INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER 2017年 114卷 1037-1044页

作者： Zhang, Kaihua Yu, Kun Liu, Yufang Zhao, Yuejin Beijing Inst Technol Sch Optoelect Beijing 100081 Peoples R China Henan Normal Univ Coll Phys & Mat Sci Infrared Optoelect Sci & Technol Key Lab Henan Pr Xinxiang 453007 Henan Peoples R China

An experimental apparatus for normal spectral emissivity measurements at low temperatures was constructed by using the Fourier transform infrared (FTIR) spectrometer. The FTIR spectrometer was calibrated against a high quality reference blackbody based on the multi-temperature method. The spectral response function R (2) was computed by the least-square method. To improve the precision of emissivity measurement, an improved algorithm to eliminate disturbances by background radiation was presented. Emissivity uncertainty caused by the spectral response function R (lambda) was analyzed. A comparison between the results obtained by the multi-temperature calibration method and the two temperature method was presented. The linearity of the FTIR spectrometer response in the studied spectral range is better than 1% except spectral bands due to atmospheric absorptions. A high-purity (99 wt%) alumina sample was used to validate emissivity results obtained by the improved algorithm. The excellent agreement with the literature data around Christiansen wavelength demonstrates that our experimental apparatus and the improved algorithm can provide reliable measurements. The calculated relative combined uncertainty of the spectral emissivity for the alumina sample is estimated to be less than 5.1% for the spectral range considered. (C) 2017 Elsevier Ltd. All rights reserved.

关键词： improved algorithm Calibration FTIR spectrometer Spectral emissivity Low temperature

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UODV: improved algorithm and generalized theory

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PATTERN RECOGNITION 2003年第11期36卷 2593-2602页

作者： Jing, XY Zhang, D Jin, Z Hong Kong Polytech Univ Dept Comp Biometr Technol Ctr Ctr Multimedia Signal Proc Kowloon Hong Kong Peoples R China Chinese Acad Sci Inst Automat Beijing 100080 Peoples R China Nanjing Univ Sci & Technol Dept Comp Nanjing 210094 Peoples R China

Uncorrelated optimal discrimination vectors (UODV) is an effective linear discrimination approach. However, this approach has the disadvantages in both the algorithm and the theory. In light of this, we propose an improved UODV algorithm based on the typical principal component analysis (TPCA), which can satisfy the statistical uncorrelation and utilize the total scatter information of the training samples. Then, a new and generalized theorem on UODV is presented. This generalized theorem reveals the essential relationship between UODV and the well-known Fisherface method, and proves that our improved UODV algorithm is theoretically superior to the Fisherface method. Experimental results on both 1-D and 2-D data prove that our algorithm outperforms the original UODV approach and the Fisherface method. (C) 2003 Pattern Recognition Society. Published by Elsevier Ltd. All rights reserved.

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Application and functional simulation of data mining technology in Hadoop cloud platform based on improved algorithm

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SOFT COMPUTING 2023年第12期27卷 8381-8389页

作者： Dai, Nina Shanghai Donghai Vocat & Tech Coll Shanghai 200241 Peoples R China

Data mining algorithms can process target data and extract useful hidden information, which is helpful for decision making. However, current mining algorithms have some shortcomings such as time-consuming processing of big data or inability to process massive data. Since data mining technology cannot be used in the traditional cloud platform environment, it is necessary to improve the algorithm to make it more suitable for the cloud platform environment. By analyzing the actual application process of BP classification algorithm, this paper expounds the practicability of BP classification algorithm, analyzes the data mining process based on Hadoop cloud platform, and expounds the development ideas of BP classification algorithm. The source of data mining algorithm supported by cloud computing is discussed. Finally, Hadoop cloud platform. This paper designed the corresponding system architecture and data interface, and established a suitable test environment for this system, and completed the simulation experiment test through the design. The calculation time of this algorithm is proportional to the amount of data, showing a linear relationship. In data mining, the optimized BP algorithm in this paper can significantly save resources in terms of spatial features. This paper designs an optimized operating system based on Hadoop platform through comprehensive analysis and improvement algorithm.

关键词： improved algorithm Data mining technology Hadoop Cloud platform

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Research on the improved algorithm of collaboration-supply in supply chain

Research on the improved algorithm of collaboration-supply i...

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International Conference on Service Systems and Service Management

作者： Li, SC Yin, HY Xian Univ Technol Sch Business Adm Xian 710048 Peoples R China

This paper presents an improved heuristic selection algorithm, which has a better effect compared with those indicated in literature [1], thus simplifying the solution and being easy to be used. An example is used to ... 详细信息

ISBN: (纸本)0780389719

关键词： collaboration improved algorithm supply chain management

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