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International Conference on intelligent System and Knowledge Engineering, ISKE

作者： Yixiong Bian Huakang Li Jiangsu Key Lab of Big Data and Security and Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

With the rapid development of the internet, applications of recommendation systems for online shops and entertainment platforms become more and more popular. In order to improve the effectiveness of recommendation, external information has been incorporated into various algorithms, such as location and social relationship. However, most algorithms only focus on the introduction of external information without depth analysis of the intrinsic mechanism in the external information. This paper proposed a transfer model of social trusted relationship, and optimized the reliability of the transfer model using pruning algorithm based on original trust recommendation. A credible social relationship macro-transfer model based on iterations of new credible relationships is defined by the similarity of social relationships. With a certain interest topic as a source of information, a micro-transfer model achieves the theme of interest and credibility of the expansion using social information dissemination algorithm. To demonstrate the effectiveness of the macro and micro credible transfer models, we used the Mantra search tree pruning algorithm and the optimization algorithm of similar category replacing similar products. The experimental results show that the proposed method based on the macroscopic and microscopic transfer models of the trusted relationship enhances the success rate and stability of the recommended system.

关键词： Collaboration Reliability Social network services Heuristic algorithms Optimization System performance Convergence

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BP-PID Control Applied in Evaporator of Organic Rankine Cycle System

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Instrumentation 2017年第3期4卷 54-58页

作者： WANG Zhigang GUO Shuang Tianjin Key Laboratory for Advanced Mechatronic System Design and Intelligent Control School of Mechanical Engineering & National Demonstration Center for Experimental Mechanical and Electrical Engineering Education & Tianjin University of Technology

According to the problem that the selection of traditional PID control parameters is too complicated in evaporator of Organic Rankine Cycle system(ORC),an evaporator PID controller based on BP neural netw ork optimization is designed. Based on the control theory,the model of ORC evaporator is set up. The BP algorithm is used to control the Kp,Kiand Kdparameters of the evaporator PID controller,so that the evaporator temperature can reach the optimal state quickly and steadily. The M ATLAB softw are is used to simulate the traditional PID controller and the BP neural netw ork PID controller. The experimental results show that the Kp,Kiand Kdparameters of the BP neural netw ork PID controller are 0. 5677,0. 2970,and 0. 1353,***,the evaporator PID controller based on BP neural netw ork optimization not only satisfies the requirements of the system performance,but also has better control parameters than the traditional PID controller.

关键词： Organic Rankine Cycle PID Controller Evaporator BP Neural Network

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Precise linearization optimal control of cell three-compartment transition model

Precise linearization optimal control of cell three-compartm...

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International Conference on Systems and Informatics (ICSAI)

作者： Zhaolei Diao Hui Lv Xianwen Fang Zhixiang Yin Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Dalian China School of Mathematics and Big Data Anhui University of Science and Technology Huainan China School of Computer Science and Technology Dalian University of Technology Dalian China

In this study, the problems of precise linearization and optimal control for the cell three-compartment transition model are investigated. According to the differential geometry theory of nonlinear system, three-compartment nonlinear affine model of intracellular and extracellular distribution of 1, 6-diphenyl-1, 3, 5-hexatriene (DPH) is established. A nonlinear state feedback expression is deduced by means of state feedback precise linearization method to realize the linearization of the nonlinear system. Furthermore, the state feedback coefficient is optimized by solving Riccati's equation. The obtained control law is simple and easy to implement. The numerical simulation results show that the feedback system constructed by the nonlinear control strategies has good stability characteristics, and the dynamic response characteristic is improved obviously.

关键词： Lipidomics Fluorescence Biomembranes Probes Nonlinear systems State feedback Optimal control

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Optimization of honeycomb battery package based on space mapping algorithm

arXiv

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arXiv 2017年

作者： Shuai, Wenquan Luo, Xin Wang, Hu State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body Hunan University Changsha China Joint Center for Intelligent New Energy Vehicle Shanghai China

A new honeycomb battery package structure is designed and optimized in this study. It's a honeycomb structure which uses grid to reinforce the strength. To obtain the highly accurate finite element (FE) model, the material parameters of 18650 cylindrical Li-ion battery are identified by using optimization techniques based on flat compression test data. Due to the expensive cost of finite element evaluation, the space mapping (SM) algorithm is suggested to optimize the structure of the package. Compared with other space mapping algorithms, the coarse model of space mapping in this work is based on a pseudo-plane-strain model. Moreover, to guarantee the reliability, the mean and variance values of battery stress are used to be the objective function. The final optimum solution is obtained in 3 days, and it shows the magnitude of stress and the distribution of stress are improved significantly compared with initial structure. Moreover, the computational cost of optimization for the problem is decreased greatly. Copyright © 2017, The Authors. All rights reserved.

关键词： Lithium-ion batteries

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Kinematic Modeling and Error Analysis of the Six Pole Parallel Robot

Kinematic Modeling and Error Analysis of the Six Pole Parall...

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2016 IEEE advanced Information Management,Communicates,Electronic and Automation Control Conference(IMCEC 2016)

作者： ZHAO Xin-hua LUAN Qian-qian ZHAO Lei WANG Shou-jun GE Wei-min FAN Meng-ran Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronic System Tianjin University of Technology School of Mechanic Engineering

ISBN: (纸本)9781509001668

The parallel manipulator has some advantages of high accuracy,high speed and high stiffness *** makes up for the shortcomings of serial *** the parallel mechanism becomes a potential motion platform with high speed and high *** poles parallel robot improves these defects of more singularity,poor load capacity and low stiffness which exist in workspace of the classic plane five poles parallel *** and forward kinematic models are established based on the structure of the *** influence of foundation beds' location error,driving angle error and rod processing error on control accuracy is systematically *** theoretical foundation has been provided for realizing the optimal design of the robot and control in high accuracy.

关键词： high speed parallel robot kinematics error analysis

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Experimental research on dynamic characteristics analysis of machine tool based on unit structure

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Revista de la Facultad de Ingenieria 2016年第4期31卷 70-84页

作者： Zhu, Peihao Zheng, Qingchun Hu, Yahui Wang, Bing Chao, Jiaqi Tu, Huan Sun, Ning Li, Jinxiang School of Mechanical Engineering Tianjin University of Technology Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Tianjin300384 China

By the experiment modal research for unit structure, the natural frequency and mass of US by means of experimental modal analysis is explored. Experimental modal analysis on US was applied to achieve optimal US simultaneously to satisfy multiple conflicting performance requirements of mass and natural frequency of US. Then the structural parameters of US were optimized to increase natural frequencies and reduce mass. Experimental modal analysis is an efficient technique to accurately identify the dynamic behavior of a structure and provides modal parameters, such as natural frequencies and mode shapes.

关键词： Modal analysis

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Correction to: Emotion recognition based on physiological signals using brain asymmetry index and echo state network

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Neural computing and Applications 2018年第10期32卷 6415-6415页

作者： Ren, Fuji Dong, Yindong Wang, Wei School of Computer and Information Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology Hefei China Graduate School of Advanced Technology and Science University of Tokushima Tokushima Japan

The authors quite agree that the AsI model is first developed by Panagiotis Petrantonakis from references [11] and [18] in their thesis.

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Overdue Prediction of Bank Loans Based on Deep Neural Network

Overdue Prediction of Bank Loans Based on Deep Neural Networ...

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2017 International Symposium on Computer Science and Artificial Intelligence（ISCSAI 2017）

作者： Li Xin Sun Guozi Li Huakang Jiangsu Key Lab of Big Data and Security and Intelligent Processing Nanjing University of Posts and Telecommunications Collaborative Innovation Center for Economics crime investigation and prevention technology State Key Laboratory of Mathematical Engineering and Advanced Computing

With the development of information technology, the application of big data in financial aspects becomes more and more deepening. However, in the aspect of bank loans, the accuracy of traditional user loan risk prediction models, such as KNN, Bayesian, are not benefit from the data *** paper proposes to use DNN algorithm to forecast the risk of user loan based on the difficulties of current overdue prediction and the excellent learning ability of DNN. This article uses user basic information, bank records, user browsing behavior, credit card billing records, and loan time information to evaluate whether users are delinquent. Firstly, this paper record bank records according to the transaction type, respectively, to generate income and spending data. Secondly, to sum the user browsing behavior also, and to record the average of credit card bill. In addition, in order to reduce the effect of eigenvalue size on the result, all characteristics are standardized. Finally, users who lack user information are discarded and the above fields are spliced. The spliced fields are the basic input for DNN. From the experimental results, DNN algorithm inc rease over 6% prediction than kNN, Bayes algorithm.

关键词： Overdue Prediction Bank Loans DNN

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Evaluation of Lower-Limb Rehabilitation Based on Muscle Fatigue

Evaluation of Lower-Limb Rehabilitation Based on Muscle Fati...

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IEEE International Symposium on Industrial Electronics

作者： Juan Zhao Jinhua She Dianhong Wang Edwardo F. Fukushima Min Wu Hiroshi Hashimoto School of Engineering Tokyo University of Technology Hachioji Tokyo Japan School of Automation China University of Geosciences Wuhan China Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems Wuhan China Master Program of Innovation for Design & Engineering Advanced Institute of Industrial Technology Tokyo Japan

The purpose of this study was to investigate the features of muscle fatigue extracted from surface electromyography (sEMG) signals of lower limbs, and then to present an evaluation method of lower-limb rehabilitation to provide physical basis for the training effect of rehabilitation. Four healthy young university students were invited to perform a pedaling exercise for 40 days. The sEMG signals of four lower-limb muscles are recorded and processed using a Butterworth filter and a Daubechies 10 wavelet. Then, the change of the ratios of the spectrums of Types I and II muscle fibers to the total number of the spectrum along the exercise are examined. The time of the first intersection of the ratios for Types I and II for each muscle is used as a performance index. The increase in the time at the beginning and the end of the training period indicates the improvement of motor function, and thus it verifies the effectiveness of the rehabilitation.

关键词： SEMG Muscle fatigue Rehabilitation evaluation Unequal length segmentation

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Polymerase chain reaction-based DNA algorithm for maximum clique problem

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Journal of Computational and Theoretical Nanoscience 2016年第7期13卷 4447-4453页

作者： Zhai, Weihua Zheng, Xuedong Zhou, Changjun Wang, Bin Zhang, Qiang Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian116622 China

This article discuss a repetitive acceptance sampling plan based on exponentially weighted moving average (EWMA) statistic using a regression estimator under the assumption that quality parameters follow normal distribution. The sampling plan is proposed under two circumstances when standard deviation of normal distribution is known and unknown. The parameters of the proposed sampling plan are investigated and analyzed for both cases under the condition that the given producer's risk and consumer's risk are satisfied. The proposed sampling plan is compared with the existing sampling plans. The proposed sampling plan is more efficient than the existing sampling plans in terms of sample size. The extensive tables are provided for industrial use. © 2016 American Scientific Publishers All rights reserved.

关键词： Normal distribution

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