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

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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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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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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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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A throughput aware with collision-free MAC for wireless LANs

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Science China(Information Sciences) 2016年第2期59卷 240-242页

作者： Tingrui PEI Yafeng DENG Zhetao LI Gengming ZHU Gaofeng PAN Youngjune CHOI Hiroo SEKIYA College of Information Engineering Xiangtan University Key Laboratory of Intelligent Computing & Information Processing of Ministry of Education Xiangtan University School of Computer Science & Engineering Hunan University of Science and Technology School of Electronic and Information Engineering Southwest University Department of Information and Computer Engineering Ajou University Graduate School of Advanced Integration Science Chiba University

Dear editor,The Carrier Sense Multiple Access with Collision Avoidance(CSMA/CA)hybrid with the resource reservation approach from Time Division Multiple Address(TDMA)has been emerged as a promising method to solve collision problems in wireless LANs[1–6].In the hybrid method,a TDMA circle contains multiple slots for nodes to contend for the ***,it allows a

关键词： MAC CSCF free TDMA A throughput aware with collision-free MAC for wireless LANs

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

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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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