检索结果-内蒙古大学图书馆

Motion Key-frames extraction based on amplitude of distance characteristic curve

International Journal of Computational Intelligence Systems 2014年第3期7卷 506-514页

作者： Zhang, Qiang Xue, Xiang Zhou, Dongsheng Wei, Xiaopeng Key Laboratory of Advanced Design and Intelligent Computing of Ministry of Education Dalian University Dalian China

The key frames extraction technique extracts key postures to describe the original motion sequence, which has been widely used in motion compression, motion retrieval, motion edition and so on. In this paper, we propose a method based on the amplitude of curve to find key frames in a motion captured sequence. First we select a group of joint distance features to represent the motion and adopt the Principal Component Analysis (PCA) method to obtain the one dimension principal component as a features curve which will be used. Then we gain the initial key-frames by extracting the local optimum points in the curve. At last, we get the final key frames by inserting frames based on the amplitude of the curve and merging key frames too close. A number of experimental examples demonstrate that our method is practicable and efficient not only in the visual performance but also in the aspect of the compression ratio and error rate.

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Motif mining based on network space compression

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BioData mining 2015年第1期8卷 29页

作者： Qiang Zhang Yuan Xu Key Laboratory of Advanced Design and Intelligent Computing (Dalian university) Ministry of Education Dalian 116622 China.

A network motif is a recurring subnetwork within a network, and it takes on certain functions in practical biological macromolecule applications. Previous algorithms have focused on the computational efficiency of network motif detection, but some problems in storage space and searching time manifested during earlier studies. The considerable computational and spacial complexity also presents a significant challenge. In this paper, we provide a new approach for motif mining based on compressing the searching space. According to the characteristic of the parity nodes, we cut down the searching space and storage space in real graphs and random graphs, thereby reducing the computational cost of verifying the isomorphism of sub-graphs. We obtain a new network with smaller size after removing parity nodes and the "repeated edges" connected with the parity nodes. Random graph structure and sub-graph searching are based on the Back Tracking Method; all sub-graphs can be searched for by adding edges progressively. Experimental results show that this algorithm has higher speed and better stability than its alternatives.

关键词： Associated matrix Parity nodes Space compression Sub-graph mark

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Linear Multi-Step Prediction and Correction Algorithm of 6-DOF Space Manipulator for Continuous Trajectory Tracking

Linear Multi-Step Prediction and Correction Algorithm of 6-D...

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2014 International Conference on Industrial Engineering and Information Technology

作者： Shuang Liu Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing Dalian University

In this paper,the generalized Jacobian matrix and the improved Milne-Hamming linear multi-step prediction and correction algorithm are combined for solving the space manipulator trajectory tracking *** of all,controlling end-effector tracks a known trajectory by the method of pseudo inverse of generalized Jacobian ***,due to the accuracy of the solution of this approach inversely with the step-size of numerical integration,we need larger calculation to get more precise *** increase the accuracy in fixed step-size of calculation,Milne-Hamming linear multi-step prediction and correction algorithm is combined with the methods that mentioned ***,we utilize the RungeKutta method to evaluate the first four solutions of MilneHamming algorithm *** don't have enough parameters to initialize the algorithm until step ***,the validity of the algorithm is verified by computer simulation.

关键词： 6-DOF space manipulator,Continuous trajectory tracking,Milne-Hamming linear multi-step algorithm,Runge-Kutta

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A mobile phone palmprint verification system using gabor-based sdlpp

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ICIC Express Letters, Part B: Applications 2014年第6期5卷 1667-1672页

作者： Zhang, Jianxin Zhang, Zhange Ou, Zongying Zhang, Qiang Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian University No. 10 Xuefu Street Jinzhou New District Dalian China Materials and Energy Dalian University of Technology No. 2 Linggong Road Ganjingzi District Dalian China

The paper presents a mobile phone palmprint verification system based on novel image capture and feature extraction approaches. The system captures part regions of palm with four fingers closing together and parallel to screen. Then ROI image can be located by detecting key points of fingers region. For feature extraction step, optimal Gabor features of different scales and orientations are extracted from ROI images, and then SDLPP is applied for the dimensionality reduction of Gabor feature space to provide a more compact and discriminant representation. The system achieves the verification accuracy of EER = 3.43% and takes less than 1s to verify a palmprint image, which can satisfy the requirement of a real-time verification system.

关键词： Cellular telephones

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Plant growth simulation algorithm for solving bilevel symbiosis optimization between manufacturing enterprise and logistics enterprise

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ICIC Express Letters 2014年第2期8卷 629-636页

作者： Li, Tong Jiang, Yufei Chen, Chouyong Ji, Tongcai Management College Hangzhou Dianzi University No. 2 St Hangzhou 310018 China Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University No. 10 Xuefu St. Jinzhou New District Dalian 116622 China

An intelligence optimization algorithm for solving nonlinear bilevel programming is proposed herein. In this algorithm, the upper solution space and lower reaction set of bilevel programming are looked as two growth environments of plants. Then the plant system evolution style based on growth regulation and the probability growth model based on plant phototropism theory are established. The optimization model combined with above two has realized the evolution of artificial plant from initial status to whole final status (that means no new branch growing), thus the optimal solutions of bilevel programming can be found. The algorithm herein shows its high accuracy and strong astringency. This article solves the problem of bilevel symbiosis optimization between manufacturing enterprise and logistics enterprise by using this algorithm, and the result shows that Plant Growth Simulation Algorithm (PGSA) has good effectiveness and feasibility. © 2014 ISSN 1881-803X.

关键词： Optimization

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Analysis of touching sensation based on weights of rectangular object

Analysis of touching sensation based on weights of rectangul...

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International Conference on Biomedical Engineering (ICoBE)

作者： H. E. Nabilah M. Hazwan Ali Kamil S. Talha Nor Farahiyah Khairunizam Wan D. Hazry A. B. Shahriman Zuradzman M. Razlan Mohd Asri Ariffin M. Haslina M. Rizon Advanced Intelligent Computing and Sustainability Research Group Universiti Malaysia Perlis Perlis Malaysia Centre of Excellence for Unmanned Aerial Systems (COEUAS) Universiti Malaysia Perlis Arau Perlis MY School of Health Science Kampus Kesihatan Universiti Sains Malaysia Malaysia Faculty of Design Arts and Engineering Technology Universiti Sultan Zainal Abidin

A wired glove system is developed by designing a low cost dataglove which has the similar function with the conventional dataglove and has been named as GloveMAP. The system involves the finger movements with some of grasping activities to investigate the force exerted on the fingertips during grasping a rectangular object with different weight. Force sensing resistors (FSR) are attached to the thumb, index and middle fingers to obtain the voltage changes from the activities of fingers grasping. The output data from different weight of rectangular object during grasping are analyzed based on statistical approaches. The correlation between weight and force has been determined by comparing the gradient slope between both graphs.

关键词： Force Thumb Grasping Piezoelectric transducers Polynomials Robot sensing systems

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Encrypting the compressed image by chaotic map and arithmetic coding

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Optik 2014年第20期125卷 6117-6122页

作者： Bin Wang Xuedong Zheng Shihua Zhou Changjun Zhou Xiaopeng Wei Qiang Zhang Chao Che Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

Due to the efficient and secure requirements of image transmission, a number of research works have been done to encrypt the compressed image. Inspired by the arithmetic coding and chaotic map which are used to compress and encrypt image, respectively. In this paper, a scheme is proposed to encrypt the compressed image by chaotic map and arithmetic coding. This scheme compresses the image row by row which is firstly permuted by two logistic maps before arithmetic coding. It not only enhances the security of arithmetic coding, but also improves the compression ratio. To further improve the security of binary data which has been compressed, we use the chaotic maps to encrypt the data, and set different parameters and initial value for chaotic maps. In order to possess high sensitivities of key and plain-image, the keys that are employed to determine the parameter and initial value of chaotic maps are related to the plain-image. The experimental results validate the effect of the proposed scheme and demonstrate that the compressed and encrypted image is secure and convenient for transmission.

关键词： Chaotic map Image encryption Image compression

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Improved algorithm for image encryption based on DNA encoding and multi-chaotic maps

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AEU - International Journal of Electronics and Communications 2014年第3期68卷 186-192页

作者： Qiang Zhang Lili Liu Xiaopeng Wei Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Ministry of Education Dalian 116622 China

New image encryption based on DNA encoding combined with chaotic system is proposed. The algorithm uses chaotic system to disturb the pixel locations and pixel values and then DNA encodings according to quaternary code rules are carried out. The pseudo DNA operations are controlled by the quaternary chaotic sequences. At last the image encryption through DNA decoding is achieved. The theoretical analysis and experimental results show that the algorithm improves the encoding efficiency, enhances the security of the ciphertext, has a large key space and a high key sensitivity, it is able to resist the statistical and exhaustive attacks.

关键词： DNA encoding Chaotic system Image encryption

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The plant growth simulation algorithm based on phototropism

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ICIC Express Letters 2015年第2期9卷 453-459页

作者： Li, Tong Yi, Xiaoxiang School of Business Dalian University of Technology No. 2 Dagong Road New District of Liaodong Bay Panjin China Management College Hangzhou Dianzi University No. 1 Ave. 2 Xiasha Higher Education Zone Hangzhou China Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University No. 10 Xuefu Ave Jinzhou New District Dalian China

Plant growth simulation algorithm (PGSA) is a kind of bionic intelligent optimization algorithm. Based on the plant phototropism as heuristic criterion, this algorithm takes the feasible region of different optimization problems as plant growth environment and transforms the changes of the object function into the growth probability (morphactin density) on different growth points. It then makes dynamic model simulating plant rapid growth towards the light (global optimization). PGSA proposed here is finally demonstrated with satisfactory solution by solving basic study (combinatorial optimization, Number Theory, multi-level optimization, integer programming, etc.) and applied study (electric power, logistics, nuke industry, hydraulic power, machine building, industrial engineering, finance engineering, etc.). © 2015, ICIC International.

关键词： Combinatorial optimization

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Face recognition based on PCA and logistic regression analysis

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Optik 2014年第20期125卷 5916-5919页

作者： Changjun Zhou Lan Wang Qiang Zhang Xiaopeng Wei Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Ministry of Education Dalian 116622 China

Face recognition is an important research hotspot. More and more new methods have been proposed in recent years. In this paper, we propose a novel face recognition method which is based on PCA and logistic regression. PCA is one of the most important methods in pattern recognition. Therefore, in our method, PCA is used to extract feature and reduce the dimensions of process data. Afterwards, we present a novel classification algorithm and use logistic regression as the classifier for face recognition. The experimental results on two different face databases are presented to illustrate the efficacy of our proposed method.

关键词： PCA Logistic regression Linear regression Face recognition

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