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Molten steel temperature prediction model based on bootstrap Feature Subsets Ensemble Regression Trees

Knowledge-Based Systems 2016年 101卷 48-59页

作者： Xiaojun Wang Ping Yuan Zhizhong Mao Mingshuang You Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Ministry of Education Dalian 116622 China Institute of Automatization Northeastern University Shenyang 110004 China

Molten steel temperature prediction is important in Ladle Furnace (LF). Most of the existing temperature models have been built on small-scale data. The accuracy and the generalization of these models cannot satisfy industrial production. Now, the large-scale data with more useful information are accumulated from the production process. However, the data are with noise. Large-scale and noise data impose strong restrictions on building a temperature model. To solve these two issues, the Bootstrap Feature Subsets Ensemble Regression Trees (BFSE-RTs) method is proposed in this paper. Firstly, low-dimensional feature subsets are constructed based on the multivariate fuzzy Taylor theorem, which saves more memory space in computers and indicates ``smaller-scale'' data sets are used. Secondly, to eliminate the noise, the bootstrap sampling approach of the independent identically distributed data is applied to the feature subsets. Bootstrap replications consist of smaller-scale and lower-dimensional samples. Thirdly, considering its simplicity, a Regression Tree (RT) is built on each bootstrap replication. Lastly, the BFSE-RTs method is used to establish a temperature model by analyzing the metallurgic process of LF. Experiments demonstrate that the BFSE-RTs outperforms other estimators, improves the accuracy and the generalization, and meets the requirements of the RMSE and the maximum error on the temperature prediction.

关键词： Ladle furnace Molten steel temperature prediction Large-scale data and noise data Ensemble method

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A micro-genetic algorithm for DNA encoding sequences design

A micro-genetic algorithm for DNA encoding sequences design

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IEEE International Conference on Control Science and Systems Engineering (CCSSE)

作者： Xinmei Peng Xuedong Zheng Bin Wang Changjun Zhou Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian P. R. China

ISBN: (纸本)9781467398732

Aiming at DNA encoding sequences design, a micro-genetic algorithm (MGA) is proposed by introducing a sharing function based on similarity and H-measure of DNA sequences. In the algorithm, six design criteria are adopted and four genetic operators are applied. Compared with the previous results, the algorithm can get better DNA sequences and improve the computational efficiency.

关键词： DNA Encoding Algorithm design and analysis Sociology Statistics DNA computing

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GA based optimal design for megawatt-class wind turbine gear train 8th

GA based optimal design for megawatt-class wind turbine gear...

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8th International Conference on Image and Graphics, ICIG 2015

作者： Zhang, Jianxin Zhang, Zhange Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China

ISBN: (纸本)9783319219622

In this paper, we propose a novel megawatt-class wind turbine gear train optimal design method based on genetic algorithm. Firstly, we construct an objective function to obtain the optimal quality of gear train with the constrain conditions of ratio, adjacency, assemble, gear bending fatigue and gear surface contact fatigue limitations. Then, genetic algorithm is applied to achieve the optimal parameter of the objective function. Finally, the finite element analysis method is taken to verify the feasibility of the optimization results. One type of wind turbine gearbox is given as the detail example to verify the effective of proposed method, and the verification results show that the presented method can achieve good effect for wind turbine gearbox. © Springer International Publishing Switzerland 2015.

关键词： Wind turbines

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A method of facial animation retargeting based on motion capture 1

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8th International Conference on Image and Graphics, ICIG 2015

作者： Zhou, Dongsheng Liang, Xiaoying Zhang, Qiang Dong, Jing Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian China

ISBN: (数字)9783319219783

ISBN: (纸本)9783319219776

By using facial motion data from passive optical motion capture system, this paper proposed an animation reconstruction approach, which is aimed to solve the common problem: model discontinuity and reconstructing a real-like facial animation. For this problem, a facial animation reconstruction approach with model divisions is proposed. We first divide facial model into different regions and request the deformed motion data by deploying RBF mapping. Then we adjust the deformed motion data to ensure their exactness. Besides, considering the nonlinear relationship of neighbors with the current point, we also proposed a facial animation reconstruction approach without model divisions, where we apply the motion of one-ring neighbors to adjust the deformed motion data. The experiments show that the proposed methods have an acceptable precision of reconstruction. © Springer International Publishing Switzerland 2015.

关键词： Radial basis function networks

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Artificial bee colony algorithm for the protein structure prediction based on the toy model

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Fundamenta Informaticae 2015年第3期136卷 241-252页

作者： Li, Yanzhang Zhou, Changjun Zheng, Xuedong Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University No.10 Xuefu Street Jinzhou New District Dalian Liaoning Province China

The protein structure folding is one of the most challenging problems in the field of bioinformatics. The main problem of protein structure prediction in the 3D toy model is to find the lowest energy conformation. Although many heuristic algorithms have been proposed to solve the protein structure prediction (PSP) problem, the existing algorithms are far from perfect since PSP is an NP-problem. In this paper, we proposed an artificial bee colony (ABC) algorithm based on the toy model to solve PSP problem. In order to improve the global convergence ability and convergence speed of the ABC algorithm, we adopt a new search strategy by combining the global solution into the search equation. Experimental results illustrate that the suggested algorithm can get the lowest energy when the algorithm is applied to the Fibonacci sequences and to four real protein sequences which come from the Protein Data Bank (PDB). Compared with the results obtained by PSO, LPSO, PSO-TS, PGATS, our algorithm is more efficient.

关键词： Heuristic algorithms

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An Improved Virtual Spherical Lights Approach for Glossy Illumination

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Computer Aided Drafting,design and Manufacturing 2015年第1期25卷 74-80页

作者： DONG Jing WANG Lan BAI Shuang-xue Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Ministry of Education

Based on a virtual spherical light source method, this paper presents an improved virtual spherical lights approach for glossy illumination by modifying a reflection render equation. First, in order to keep primitive spherical lights, it uses non-zero solid angle integration instead of a geometric item of traditional Instant Radiosity arithmetic. Second, the formula mode for the light energy allocation of VSLs is improved by the energy distribution, in which the radius of sphere is replaced by the radius of inscribed circle generated by the tangent to the non-zero solid angle of cone. Third, the similar function of judging two point visibility takes place of a cosine term in the approximate equations of the VSLs. Experiments show that blurring or disappearing phenomenon that appear in part of right-angle surface scene is avoided.

关键词： virtual spherical lights glossy rendering global illumination rendering

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3D Ear Shape Matching Using Joint -Entropy

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Journal of Computer Science & Technology 2015年第3期30卷 565-577页

作者：孙晓鹏李思慧韩枫魏小鹏 Institute of Computer Systems School of Computer and Information Technology Liaoning Normal University Dalian 116029 China Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia Beijing University of Posts and Telecommunications Beijing 100876 China School of Mechanical and Engineering Dalian University of Technology Dalian 116024 China Key Laboratory of Advanced Design and Intelligent Computing Dalian University Dalian 116622 China

In this article, we investigate the use of joint a-entropy for 3D ear matching by incorporating the local shape feature of 3D ears into the joint a-entropy. First, we extract a sut^cient number of key points from the 3D ear point cloud, and fit the neighborhood of each key point to a single-value quadric surface on product parameter regions. Second, we define the local shape feature vector of each key point as the sampling depth set on the parametric node of the quadric surface. Third, for every pair of gallery ear and probe ear, we construct the minimum spanning tree （MST） on their matched key points. Finally, we minimize the total edge weight of MST to estimate its joint a-entropy the smaller the entropy is, the more similar the ear pair is. We present several examples to demonstrate the advantages of our algorithm, including low time complexity, high recognition rate, and high robustness. To the best of our knowledge, it is the first time that, in computer graphics, the classical information theory of joint a-entropy is used to deal with 3D ear shape recognition.

关键词： joint a-entropy minimum spanning tree local shape feature ear matching ear recognition

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Trajectory Planning of 7-DOF Space Manipulator for Minimizing Base Disturbance

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International Journal of advanced Robotic Systems 2016年第2期13卷 44-44页

作者： Qiang Zhang Lan Wang Dongsheng Zhou Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China

In the free-floating mode, there is intense dynamic coupling existing between the space manipulator and the base, and the base attitude may change while performing a motion with its manipulator. Therefore, it is necessary to reduce the interference that resulted from the manipulator movement. For planning trajectories of the space manipulator with 7 degrees of freedom (7-DOF), simulated annealing particle swarm optimization (SAPSO) algorithm is presented in the paper. Firstly, kinematics equations are setup. Secondly, the joint functions are parameterized by sinusoidal functions, and the objective function is defined according to the motion constraints of manipulator and accuracy requirements of the base attitude. Finally, SAPSO algorithm is used to search the optimal trajectory. The simulation results verify the proposed method.

关键词： Space Manipulator 7-DOF Base Attitude SAPSO Algorithm

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An Image Encryption Scheme Based on DNA computing and Cellular Automata

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Discrete Dynamics in Nature and Society 2016年第1期2016卷

作者： Shihua Zhou Bin Wang Xuedong Zheng Changjun Zhou Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 ***

Networks have developed very quickly, allowing the speedy transfer of image information through Internet. However, the openness of these networks poses a serious threat to the security of image information. The field of image encryption has drawn attention for this reason. In this paper, the concepts of 1-dimensional DNA cellular automata and T-DNA cellular automata are defined, and the concept of reversible T-DNA cellular automata is introduced. An efficient approach to encryption involving reversible T-DNA cellular automata as an encryption tool and natural DNA sequences as the main keys is here proposed. The results of a simulation experiment, performance analysis, and comparison to other encryption algorithms showed this algorithm to be capable of resisting brute force attacks, statistical attacks, and differential attacks. It also enlarged the key space enormously. It meets the criteria for one-time pad and resolves the problem that one-time pad is difficult to save.

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Optimal Path Planning for Minimizing Base Disturbance of Space Robot

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International Journal of advanced Robotic Systems 2016年第2期13卷 41-41页

作者： Xiao-Peng Wei Jian-Xia Zhang Dong-Sheng Zhou Qiang Zhang School of Mechanical Engineering Dalian University of Technology Dalian China Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian China

The path planning of free-floating space robot in space on-orbit service has been paid more and more attention. The problem is more complicated because of the interaction between the space robot and base. Therefore, it is necessary to minimize the base position and attitude disturbance to improve the path planning of free-floating space robot, reducing the fuel consumption for the position and attitude maintenance. In this paper, a reasonable path planning method to solve the problem is presented, which is feasible and relatively simple. First, the kinematic model of 6 degrees of freedom free-floating space robot is established. And then the joint angles are parameterized using the 7th order polynomial sine functions. The fitness function is defined according to the position and attitude of minimizing base disturbance and constraints of space robot. Furthermore, an improved chaotic particle swarm optimization (ICPSO) is presented. The proposed algorithm is compared with the standard PSO and CPSO algorithm in the literature by the experimental simulation. The simulation results demonstrate that the proposed algorithm is more effective than the two other approaches, such as easy to find the optimal solution, and this method could provide a satisfactory path for the free-floating space robot.

关键词： ICPSO Path Planning Base Disturbance Space Robot On-orbit Service

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