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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Min Hu Yaona Zheng Fuji Ren He Jiang Affective Computing and Advanced Intelligent Machines Anhui Key Laboratory School of Computer and Information Hefei University of Technology The University of Tokushima 770-8506Japan

In order to improve shortage of Lxical Binary Pattern(LBP) algorithm in the field of facial feature extraction,this paper uses Lxical Directional Pattern(LDP) algorithm to extract the facial features about age estimation and gender *** gradient information is more stable than gray information,LDP algorithm is not affected easily by *** preprocessing images,we use block strategy to represent facial features more *** then,we extract features of each block with LDP algorithm,storing the LDP histogram Finally,we obtain age and gender identification results by Support Vector Machine(SVM).Experimental results on FG-NET face database show that this method has a good effect on age estimation and gender classification.

关键词： feature extraction,LDP,age estimation,gender classification

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Face recognition based on adaptive weighting and fuzzy fusion with single training sample

Face recognition based on adaptive weighting and fuzzy fusio...

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IEEE International Conference on Cloud computing and Intelligence Systems (CCIS)

作者： Xiaohua Wang Chao Jin Wei Liu Min Hu Fuji Ren School of Computer and Information Hefei University of Technology Anhui China Affective Computing and Advanced Intelligent Machines Anhui Key Laboratory The University of Tokushima Japan

In order to solve the robustness issues for single training sample face recognition under occlusion conditions, this paper presents a recognition method based on adaptive weighting and fuzzy fusion. In our method, the information entropy expansion mode is introduced in sub-mode method and via adaptively assigning the weights corresponding to each sub-model can reduce the impact of occluded region. In addition, through summing the similar blocks in face images can make up for the defect of the sub-model which ignores the integrity of face. Finally, the method based on fuzzy comprehensive evaluation is utilized for decision-level fusion to the outputs by these two ways of classification. Experimental results on AR face database show that this method has state-of-the-art classification accuracy and also robustness to occlusion.

关键词： Robustness Testing

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Comparative study of two 3-CRU translational parallel manipulators

Comparative study of two 3-CRU translational parallel manipu...

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IEEE International Conference on Robotics and Biomimetics

作者： Bin Li Yangmin Li Xinhua Zhao Weimin Ge Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Tianjin China Department of Electromechanical Engineering University of Macau Taipa Macao SAR China

ISBN: (纸本)9781479973989

Two types of 3-CRU translational parallel manipulators (TPM) are compared and investigated in this paper. The two 3-CRU TPMs have identical kinematics, but some differences exist in terms of the chain arrangement, one is in fully symmetrical chain arrangement, called symmetrical 3-CRU TPM, the other one is in asymmetrical chain arrangement, called asymmetrical 3-CRU TPM. This paper focuses on discussing the differences between the two 3-CRU TPMs in kinematics, workspace and performance. This study provides insights into parallel manipulators with identical kinematics arranged differently.

关键词： Manipulators Joints Kinematics Actuators Layout Rails Integrated circuits

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Face recognition based on independent component analysis image reconstruction and linear discriminant analysis

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ICIC Express Letters 2014年第9期8卷 2457-2462页

作者： Zhou, Changjun Wang, Lan Lv, Ling Zheng, Xuedong Wei, Xiaopeng Zhang, Qiang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University No. 10 Xuefu Street Jinzhou Xinqu Dalian 116622 China Department of Mechanical Engineering Dalian Institute of Science and Technology No. 999-26 Bingang Road Lvshun District Dalian 116052 China

Independent Component Analysis (ICA) and Linear Discriminant Analysis (LDA) are two conventional methods in feature extraction. In this paper, we propose a novel face recognition method which is based on ICA image reconstruction, LDA and SVM. Firstly, we use the inner-classes covariance matrix as generating matrix, and then we can obtain eigenvectors from each person and the reconstructed images through ICA method. Secondly, the residual images are computed by subtracting reconstructed images from original face images. Furthermore, the residual images are applied by LDA to obtain the coefficient matrices. Finally, the features are utilized to train and test SVMs for face recognition. The experimental results on the ORL face database are presented to demonstrate the efficacy of the proposed method. © 2014 ISSN 1881-803X.

关键词： Image reconstruction

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FACE RECOGNITION BASED ON DOUBLE COMPLEMENTARY SPACE AND MULTI-DECISION CLASSIFICATION

FACE RECOGNITION BASED ON DOUBLE COMPLEMENTARY SPACE AND MUL...

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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Fuji Ren Yanqiu Li Liangfeng Xu Min Hu Xiaohua Wang Affective Computing and Advanced Intelligent Machines Anhui Key Laboratory School of Computer and Information Hefei University of Technology Faculty of Engineering The University of Tokushima770-8506TokushimaJapan

In order to overcome the one-sidedness and limitations of a single subspace in feature extraction and classification,we propose a face recognition method that extracts features in double complementary space and utilize multi-decision for *** the feature extraction stage,we use ICA and LPE algorithm as the first layer in complementary space to extract global and local features of the face ***,for the purpose of solving the problem that features extracted by ICA are lack of classification information,we further extract classification information from the independent features extracted by ICA on the condition that the FLDA and DCV algorithm are used as the second layer in the complementary *** the classification stage,the test samples are firstly projected to the independent *** that,projected the samples which are difficult to identify to the LPE space and reclassified ***,the results are been determined *** results on ORL database show that the proposed method can effectively improve the recognition rate.

关键词： algorithms complementary space multi-decision classification face recognition

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Face recognition based on double complementary space and multi-decision classification

Face recognition based on double complementary space and mul...

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IEEE International Conference on Cloud computing and Intelligence Systems (CCIS)

作者： Fuji Ren Yanqiu Li Liangfeng Xu Min Hu Xiaohua Wang School of Computer and Information Hefei University of Technology Anhui China Affective Computing and Advanced Intelligent Machines Anhui Key Laboratory Faculty of Engineering The University of Tokushima Tokushima Japan

ISBN: (纸本)9781467369541

In order to overcome the one-sidedness and limitations of a single subspace in feature extraction and classification, we propose a face recognition method that extracts features in double complementary space and utilize multi-decision for classification. In the feature extraction stage, we use ICA and LPE algorithm as the first layer in complementary space to extract global and local features of the face images. Then, for the purpose of solving the problem that features extracted by ICA are lack of classification information, we further extract classification information from the independent features extracted by ICA on the condition that the FLDA and DCV algorithm are used as the second layer in the complementary space. In the classification stage, the test samples are firstly projected to the independent subspace. After that, projected the samples which are difficult to identify to the LPE space and reclassified them. Finally, the results are been determined comprehensively. Experimental results on ORL database show that the proposed method can effectively improve the recognition rate.

关键词： Feature extraction Classification algorithms Face recognition Face Data mining Entropy Databases

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IMAGE RESTORATION METHOD SELF-ADAPTIVE TO THE DIELECTRIC LAYER COLOR

IMAGE RESTORATION METHOD SELF-ADAPTIVE TO THE DIELECTRIC LAY...

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2014 IEEE 3rd International Conference on Cloud computing and Intelligence Systems

作者： Tian Chen Xin Yi Dandan Shen Fuji Ren Wei Wang Bingdong Yang Anhui Province Key Laboratory of Affective Computing and Advanced Intelligent Machine Hefei University of Technology School of Computer and Information Hefei University of Technology The University of Tokushima 770-8506Japan

This paper put forwards a new single image restoration method which is self-adaptive to the dielectric layer *** method is used to solve the problem that existing single image visibility restoration method has limited adaptability for dielectric layer color in image acquisition ***,the method can remove influence caused by propagation medium layer from input image,realizing visibility restoration of the input *** show hazy image restoration method proposed by this paper has better adaption ability for dielectric layer color and recover an image.

关键词： Image Restoration Self-Adaptive Dielectric Layer Color Defogging

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Improved hybrid optimization algorithm for 3D protein structure prediction

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Journal of molecular modeling 2014年第7期20卷 2289页

作者： Changjun Zhou Caixia Hou Xiaopeng Wei Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing Dalian University Dalian China

A new improved hybrid optimization algorithm - PGATS algorithm, which is based on toy off-lattice model, is presented for dealing with three-dimensional protein structure prediction problems. The algorithm combines the particle swarm optimization (PSO), genetic algorithm (GA), and tabu search (TS) algorithms. Otherwise, we also take some different improved strategies. The factor of stochastic disturbance is joined in the particle swarm optimization to improve the search ability; the operations of crossover and mutation that are in the genetic algorithm are changed to a kind of random liner method; at last tabu search algorithm is improved by appending a mutation operator. Through the combination of a variety of strategies and algorithms, the protein structure prediction (PSP) in a 3D off-lattice model is achieved. The PSP problem is an NP-hard problem, but the problem can be attributed to a global optimization problem of multi-extremum and multi-parameters. This is the theoretical principle of the hybrid optimization algorithm that is proposed in this paper. The algorithm combines local search and global search, which overcomes the shortcoming of a single algorithm, giving full play to the advantage of each algorithm. In the current universal standard sequences, Fibonacci sequences and real protein sequences are certified. Experiments show that the proposed new method outperforms single algorithms on the accuracy of calculating the protein sequence energy value, which is proved to be an effective way to predict the structure of proteins.

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Inverse dynamics analysis of a 6-PSS parallel manipulator

Lecture Notes in Computer Science (including subseries Lectu...

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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 2014年 8918卷 12-23页

作者： Xu, Weiyuan Li, Yangmin Lu, Song Xiao, Xiao Department of Electromechanical Engineering University of Macau Avenida da Universidade Taipa Macao SAR China Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Tianjin University of Technology Tianjin300384 China

In this paper, a new six degrees of freedom (6-DOF) parallel manipulator with adjustable actuators is proposed. The kinematic model is firstly established and the kinematic analysis is performed afterward. Then the equations of motion are developed based on the concept of link Jacobian matrices. Finally, the principle of virtual work is applied to analyze the dynamics of this 6-PSS parallel manipulator. This methodology can be used on other types of parallel manipulators not only for 6-DOF but also with less than 6-DOF. To solve the inverse dynamics of the manipulator, a computational algorithm is developed and two trajectories of the moving platform are simulated. © Springer International Publishing Switzerland 2014.

关键词： Dynamics

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design and analysis of a decoupled XY micro compliant parallel manipulator

Design and analysis of a decoupled XY micro compliant parall...

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IEEE International Conference on Robotics and Biomimetics

作者： Bingxiao Ding Yangmin Li Tianjin Key Laboratory of the Design and Intelligent Control of the Advanced Mechatronical System Tianjin University of Technology Tianjin China Department of Electromechanical Engineering University of Macau Avenida da Universidade China

ISBN: (纸本)9781479973989

In this paper, a new compliant parallel mechanism driven by piezoelectric actuators is designed, which is a modified structure from our previous designed stage. In order to compensate the limited stroke of PZT, the secondary amplification mechanism was adopted in this design, and also the matrix method is utilized to calculate its stiffness and compliance for this compliant mechanism. In practical application, the accuracy of mechanism is an essential index that we wish to achieve, meanwhile the parasitic motion analysis, dynamic and static analysis are also presented in this paper. The method is validated by finite element analysis to demonstrate its effectiveness.

关键词： Fasteners Mathematical model Force Transmission line matrix methods Accuracy Analytical models Kinetic energy

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