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A self-adaptive algorithm for 3D Dimension Based on Normal Adjustment

International Conference on Frontiers of Manufacturing Science and Measuring Technology (ICFMM2011)

作者： An, Heng Yan, Guangrong Lei, Yi Beihang Univ Sch Mech Engn & Automat Beijing 100191 Peoples R China

ISBN: (纸本)9783037851333

For the interference problem between 3D dimension and solid model caused by model rotation, a self-adaptive algorithm was proposed in this paper. Firstly, three types of dimension interference in 3D model were analyzed. Secondly, the work flow of self-adaptive algorithm was investigated and the key technologies such as interference check, normal adjustment were described in detail. By adjusting the normal of each interfered 3D dimension to non-interference state, the interference problem in this paper can be solved. All the algorithms were realized in a dynamically module based on CAXASOLID. Case study showed that the strategies present are feasible. Finally, the trends and expectation of 3D dimension layout was summarized.

关键词： 3D Dimension self-adaptive algorithm Interference Check Normal Adjustment CAXASOLID

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A Spintronic Memristor-Based Neural Network With Radial Basis Function for Robotic Manipulator Control Implementation

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IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 2016年第4期46卷 582-588页

作者： Li, Tianshu Duan, Shukai Liu, Jun Wang, Lidan Huang, Tingwen Southwest Univ Coll Elect & Informat Engn Beibei 400715 Peoples R China Southwest Univ Coll Engn & Technol Beibei 400715 Peoples R China Texas A&M Univ Qatar Dept Elect & Comp Engn Doha 23874 Qatar

A radial basis function (RBF) neural network control algorithm can effectively improve the robotic manipulators' performance against a large amount of uncertainty. The adaptive law can be derived by using the Lyapunov method so that the stability of robotic manipulator control system and the weight self-adaptive convergence of RBF neural networks will be guaranteed. Meanwhile, system fluctuations and even overshot phenomenon under every start-up process, which are caused by the system's convergence from the given nonoptimal initial weight value to the optimal weight value, can be avoided by using memristors to remember the optimal weight after the system's first operation. According to the above analysis, this correspondence paper designs a kind of RBF neural network control algorithm based on spintronic memristors, and then analyzes its theoretical derivation process and core design idea. Finally, the system simulation model, which uses a two-link robotic manipulator as control object, is built to prove the algorithm's validity and feasibility. Simulation results show that the proposed algorithm can satisfy the effect of presupposition.

关键词： Crossbar array RBF neural network robotic manipulator self-adaptive algorithm spintronic memristor

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A self-adaptive Contrast Enhancement Method Based on Gradient and Intensity Histogram for Remote Sensing Images

A self-adaptive Contrast Enhancement Method Based on Gradien...

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2nd International Conference on Computer Engineering,Information Science & Application Technology(ICCIA 2017)

作者： Tieqiao Chen Jiahang Liu Xiuqin Su Jia Liu Feng Zhu Yihao Wang Xi'an Institute of Optics and Precision Mechanics of CAS University of Chinese Academy of Sciences

ISBN: (纸本)9781510845008

This paper proposes an efficient method to modify gradient and intensity histograms(GIH) for contrast enhancement, which plays an important role in remote sensing image processing and information extraction. First, a self-adaptive algorithm is used to flatten the shape of GIH of input image according to standard deviation of GIH. Then, the standard lookup table-based histogram equalization procedure is applied to get well enhanced image. Experimental results, using various remote sensing images, show that the proposed method generates enhanced images with more information and higher visual quality, compared with several conventional methods.

关键词： Contrast enhancement remote sensing image self-adaptive algorithm gradient and intensity histogram

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Optimization on ultrasound imaging gathered by an array transducer with element failure

Optimization on ultrasound imaging gathered by an array tran...

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IEEE International Ultrasonics Symposium (IUS)

作者： Yin, Guanjun Fan, Haoran Kang, Dongdong Guo, Jianzhong Shaanxi Normal Univ Inst Appl Acoust Sch Phys & Informat Technol Xian 710062 Peoples R China

ISBN: (纸本)9781467398978

The array transducer is a key unit to the phased ultrasound imaging systems. While, size error or element failure of elements are often occurred on the array transducer. Those situations could make serious negative effects on the acoustic field distribution of an array and impact on the quality of ultrasound imaging. In this context, we propose a method to revise those effects of the element failure of an array transducer by the method of adjusting the excitation parameters of elements. The theoretical analysis and experiments results indicate that this method is effective and feasible on optimizing ultrasound image gathered by an array transducer with some failed elements.

关键词： phased technology element failure optimization self-adaptive algorithm

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self-adaptive algorithm for image Transmission Based on Narrow and Variable Bandwidth

Self-Adaptive Algorithm for image Transmission Based on Narr...

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IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS)

作者： Liu Gao-ping Zheng Zi-han Zhejiang Wanli Univ EDA Key Lab Ningbo 315100 Zhejiang Peoples R China

ISBN: (纸本)9781424458516

With the development of networks, network bandwidth is increasing endlessly, but it appears narrow relative to the growing demand, and because of the environmental impact, the size of bandwidth is always changing. This paper presents a narrow bandwidth variable adaptive image transmission algorithm with an example of CDMA Network. Aiming at the environment variable and bandwidth allocation characters of CDMA Network, the transmitter terminal determines the network status through the TCP data packets feedback from the receiver, and adjusts UDP packets transmission time and packet size with the data frame length feature of CDMA network, thus adapts for the CDMA network bandwidth changes. Finally, the paper gives the test results of the algorithm. Test results show that the algorithm can quickly follow the changes of network bandwidth, and make full use of reliable bandwidth of CDMA network.

关键词： Narrow and Variable Bandwidth CDMA network self-adaptive algorithm Image Transmission

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algorithm SESP of Wireless Sensor Network Node 2nd

Algorithm SESP of Wireless Sensor Network Node

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2nd Euro-China Conference on Intelligent Data Analysis and Applications (ECC)

作者： Huang, Xuhong Fujian Univ Technol Sch Informat Sci & Engn Fuzhou Peoples R China

ISBN: (纸本)9783319212067;9783319212050

In order to extend lifespan of the Wireless Sensor Node, the research propose a self-adaptive algorithm (SESP) based on energy assessment of WSN nodes with identical hardware model and same parameters. The algorithm SESP is able to choose the cluster head without sending message to learn the surplus energy of other nodes, thus reducing in-cluster communication and simplifying the calculation of energy assessment, and eventually reducing energy consumption of WSN nodes and extending their lifespan.

关键词： WSN Energy assessment of wireless sensor node self-adaptive algorithm

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Accurate displacement measurement via a self-adaptive digital image correlation method based on a weighted ZNSSD criterion

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OPTICS AND LASERS IN ENGINEERING 2014年第1期52卷 75-85页

作者： Yuan, Yuan Huang, Jianyong Peng, Xiaoling Xiong, Chunyang Fang, Jing Yuan, Fan Peking Univ Coll Engn Beijing 100871 Peoples R China Duke Univ Dept Biomed Engn Durham NC 27708 USA

Digital image correlation (DIC) technique has been increasingly employed to implement surface deformation measurements in many engineering fields. Practically, it has been demonstrated that the choice of subset sizes exerts a strong influence on measurement results of DIC, especially when there exists locally larger deformation over the subsets involved. This paper proposes a novel subpixel registration algorithm with Gaussian windows to implicitly optimize the subset sizes by adjusting the shape of Gaussian windows in a self-adaptive fashion with the aid of a so-called weighted zero-normalized sum-of-squared difference correlation criterion. The feasibility and effectiveness of the self-adaptive algorithm are carefully verified through a set of well-designed synthetic speckle images, which indicates that the presented algorithm is able to greatly enhance the accuracy and precision of displacement measurements as compared with the traditional subpixel registration methods. (C) 2013 Elsevier Ltd. All rights reserved.

关键词： Deformation measurement Subpixel registration Subset size self-adaptive algorithm Gaussian window

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A New algorithm for the SOH Estimation of the Single Battery in Battery-power Station 9

A New Algorithm for the SOH Estimation of the Single Battery...

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9th IEEE Conference on Industrial Electronics and Applications (ICIEA)

作者： Liu, Haolin Qi, Bojin Zheng, Minxin Beijing Univ Aeronaut & Astronaut Sch Mech Engn & Automat Beijing 100191 Peoples R China

ISBN: (纸本)9781479943159

SOH (state of health) of the single battery is considered to be an important basis for the maintenance and update of battery-power station. Combined with the changing relationship between the battery discharge voltage and some other factors, such as the discharge current, the discharge capacity, the internal resistance of the battery, and the remaining capacity, a new algorithm that can be used for the estimation of each single battery's SOH is proposed in this paper. Because of the fact that the parameters and the function curves in this algorithm could be obtained by the recursive least square algorithm and BP network, the algorithm can make self-adaptive adjustment even for tiny differences. Through the trial test on the lithium iron phosphate battery power station, it has been verified that the algorithm has high estimation accuracy.

关键词： self-adaptive algorithm battery-power station SOH lithium iron phosphate battery

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algorithm SESP of Wireless Sensor Network node

Algorithm SESP of Wireless Sensor Network node

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2014 International Conference on Engineering Management and Industrial Engineering（EMIE2014)

作者： X.H.Huang School of Information Science and Engineering Fujian University of Technology

In order to extend lifespan of the Wireless Sensor Node, the reseach propose a self- adaptive algorithm(SESP) based on energy assessment of WSN nodes with identical hardware model and same parameters. The algorithm SESP is able to choose the cluster head without sending message to learn the surplus energy of other nodes, thus reducing in-cluster communication and simplifying the calculation of energy assessment, and eventually reducing energy consumption of WSN nodes and extending their lifespan.

关键词： WSN energy assessment of Wireless Sensor Node node self-adaptive algorithm

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Implementation of Online Examination System Based on MAS

Implementation of Online Examination System Based on MAS

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2011 13th IEEE Joint International Computer Science and Information Technology Conference(JICSIT 2011)

作者： Li Zhikui Zhejiang Industry Polytechnic College Shaoxing,China,312000 Yao Zhenger Zhejiang Industry Polytechnic College Shaoxing,China,312000

To accurately infer the cognitive level of students, an examination system model based on multi-Agent-system (MAS) was presented This model mainly was composed of a cognitive analysis of students agent, Intelligent paper composition and intelligent examination agent. An algorithm was proposed for generating examination papers based on students' mastery of knowledge points. The intelligent network platform for common examination was realized. Experiments have showed that the system was adaptive and feasible.

关键词： MAS examination system self-adaptive algorithm

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