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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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Palmprint recognition using phase congruency and region-based orientation code

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Journal of Computational and Theoretical Nanoscience 2016年第4期13卷 2461-2466页

作者： Zhang, Jianxin Liu, Ligang Key Lab of Advanced Design and Intelligent Computing Ministry of Education Dalian University Dalian116622 China

In this paper, a novel palmprint recognition method by a combination of phase congruency model and region-based orientation code approach is proposed. Palmprint phase congruency feature images are firstly achieved by the multi-scale and multi-orientation 2D Log-Gabor wavelet filters. Then, a region orientation code approach, which is based on the orientation competition result of the sub-region images, is put forward to give more compact representation of palmprint phase congruency feature images. The proposed palmprint recognition method can provide more robust discriminant feature. The experiment results on the public PolyU palmprint database show the good recognition performance of proposed method. © Copyright 2016 American Scientific Publishers All rights reserved.

关键词： Palmprint recognition

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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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The optimization of DNA encoding based on chaotic optimization particle swarm algorithm

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Journal of Computational and Theoretical Nanoscience 2016年第1期13卷 443-449页

作者： Liu, Yuanyuan Zheng, Xuedong Wang, Bin Zhou, Shihua Zhou, Changjun Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian116622 China

DNA sequence encoding is significant for the improvement of reliability and validity of DNA computing. The hybridization reaction between DNA molecules is the most important and core reaction in the field of DNA computing, because its efficiency and accuracy directly affect the result of DNA computing. In view of the disadvantages of precocious phenomena and local optimum of particle swarm optimization (PSO), chaotic mapping is integrated into the traditional particle swarm optimization, namely chaotic optimization particle swarm algorithm (CPSO). The algorithm not only has the property of chaotic with ergodic, randomness and the sensitivity to the initial value, but also has the fast convergence of the PSO. Thus, we use the chaotic optimization particle swarm algorithm to design the DNA sequences. Compared with other algorithms, the simulation results and security analysis of our DNA sequences are more reliable and stable. At same time, our DNA sequences have low similarity and stable melting temperature. Therefore, it is proved that this method is feasible and has better optimization effect. © 2016 American Scientific Publishers All rights reserved.

关键词： DNA sequences

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Logic gates designed with domain label based on DNA strand displacement

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) 2016年 9712 LNCS卷 244-255页

作者： Yang, Qianhao Zhou, Changjun Zhang, Qiang Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian116622 China

ISBN: (纸本)9783319409993

The construction of DNA logic gates plays a very significant role in solving NP-complete problems, because DNA computer applied to solving NP-complete problems consists of DNA logic gates. Although AND Gate module and OR Gate module with dual-rail logic constructed by Winfree avoided the instability caused by NOT Gate, the scale of dual-rail logic circuit is two times that of single-rail logic circuit. In this paper, domain t and domain f are applied to representing signal 1 and signal 0 respectively instead of high concentration and low concentration, and AND Gate, OR Gate, NOT Gate with domain label (domain t and f) are constructed. AND Gate, OR Gate, NOT Gate with domain label have good stability and encapsulation, which can be applied to DNA computing in the future. © Springer International Publishing Switzerland 2016.

关键词： DNA

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Wind Tunnel Mach Number Prediction Based on the Pruned Feature Subsets Ensemble Method

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Journal of Aerospace Engineering 2017年第4期30卷 1-8页

作者： Wang, Xiaojun Yuan, Ping Mao, Zhizhong Rui, Wei University Lctr. Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian Univ. Dalian116622 China Institute of Automatization College of Information Science and Engineering Northeastern Univ. Shenyang110004 China Institute of High Speed Aerodynamics China Aerodynamics Research and Development Center Mianyang Sichuan621000 China

In a wind tunnel, the Mach number in the test section is an important parameter that should be predicted quickly and accurately. In building a Mach number prediction model, large-scale and high-dimensional data is the main issue. To solve the issue, the feature subsets ensemble (FSE) method has been proposed. However, a major drawback of the FSE method is that a large number of submodels are necessarily combined. In this paper, the maximum entropy pruning (MEP) method is proposed to overcome this drawback in the FSE Mach number prediction model. The MEP method refers to finding a subset of submodels that best approximates the entire submodels, while maximizing the quadratic Rényi entropy criterion. Experiments demonstrate that, with much fewer submodels than the FSE and other Mach number models, the MEP-FSE Mach number model can improve the prediction performance (i.e., the generalization), and meet the requirements of the forecasting speed and the root mean square error (less than 0.002). © 2017 American Society of Civil Engineers.

关键词： Wind tunnels

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Dynamic Simulation Analysis of the Flexible Swap Device

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Journal of Donghua University(English Edition) 2015年第2期32卷 300-304页

作者：崔艳波赵腊生张强张建新 Key Laboratory of Advanced Design and Intelligent Computing Dalian University

With the development of space science and technology,the on-orbit servicing technologies of spacecraft get more and more *** to the design criterion of existing spacecraft in orbit module replacement technology,the flexible swap device is designed and the dynamics simulation of institutions by the automatic dynamic analysis of mechanical systems(ADAMS)simulation software is *** the analysis process,this paper studies the effect of collision force of flexible mechanism and provides a basis for the optimization of flexible plug agencies.

关键词： collision swap spacecraft institutions trajectory freedom kinematic criterion constraints replacement

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Sentence Alignment Method Based on Maximum Entropy Model Using Anchor Sentences

Sentence Alignment Method Based on Maximum Entropy Model Usi...

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第十五届全国计算语言学学术会议(CCL2016)暨第四届基于自然标注大数据的自然语言处理国际学术研讨会(NLP-NABD-2016)

作者： Chao Che Wenwen Guo Jianxin Zhang Key Laboratory of Advanced Design and Intelligent Computing(Dalian University) Ministry of EducationDalian

The paper proposes a sentence alignment method based on maximum entropy model using anchor sentences to align ancient and modern Chinese sentences in historical *** method selects the sentence pairs with the same phrases at the beginning or the end of the sentence or with the same time phrases as anchor sentence pairs,which are employed to divide the paragraph into several ***,the sentences in each section are aligned using dynamic programming algorithm according to the entropy calculated by maximum entropy *** maximum entropy model employs improved Chinese co-occurrence character feature,length feature and sentence alignment mode *** Chinese co-occurrence characters feature is improved by giving different weights to characters in different position based on the contribution to align *** the experiment performed on ShiJi,the precision and recall of the proposed method reaches 95.9%and 95.6%respectively,which outperforms other sentence alignment methods significantly.

关键词： anchor sentences maximum entropy model Chinese co-occurrence character sentence alignment

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Motion Planning for Minimizing Base Disturbance of Space Manipulators

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Journal of Donghua University(English Edition) 2015年第2期32卷 252-256页

作者：纪路周东生张强 Key Laboratory of Advanced Design and Intelligent Computing(Dalian University) Ministry of Education

A simulated annealing particle swarm optimization(PSO)algorithm is utilized in this paper to plan the motion of space manipulators with minimized base disturbance,not only its attitude but also its *** space manipulators must meet the Law of Momentum Conservation,any motion of manipulators will disturb the spacecraft which is free-float in the space *** paper tries to limit this effect to the ***,this paper establishes the mathematical model for space manipulators by generalized Jacobian matrix(GJM) and analyzes its inverse kinematics by Theory of ***,a polynomial function of seventh degree is used to parameterize the joint motion and quaternion representation is also used to represent attitude of ***,this paper designs a proper objective function and depicts this algorithm detailedly and ***,the results of numerical simulation are verified by the proposed algorithm.

关键词： utilized kinematics verified disturbance inverse annealing attitude polynomial effector spacecraft

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Tree-Structure Ensemble General Regression Neural Networks applied to predict the molten steel temperature in Ladle Furnace

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advanced Engineering Informatics 2016年第3期30卷 368-375页

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

To control the molten steel temperature in a Ladle Furnace accurately, it is necessary to build a precise (i.e. accurate and good generalized) temperature prediction model. To solve this problem, ensemble modeling methods have been applied to predict the temperature. Now, in the production process, large-scale data with more helpful information are sampled, which provides possibilities to improve the precision of the temperature prediction. Although most of the existing ensemble temperature models have strong learning ability, they are not suitable for the large-scale data. In this paper, to solve the large-scale issue, the Tree-Structure Ensemble General Regression Neural Networks (TSE-GRNNs) method is proposed. Firstly, small-scale sample subsets are constructed based on the regression tree algorithm. Secondly, GRNN sub-models are built on sample subsets, which can be designed very quickly and cannot converge to poor solutions according to local minima of the error criterion. Then, the TSE-GRNNs method is applied to establish a temperature model. Experiments show that the TSE-GRNNs temperature model is more precise than the other existing temperature models, and meets the requirements of the RMSE and the maximum error of the molten steel temperature prediction in Ladle Furnace.

关键词： Ladle Furnace Temperature prediction model Ensemble method General Regression Neural Networks

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