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Hibernate Combined TableViewer in the Application of Medicines Inventory Management System

Computer Aided Drafting,design and Manufacturing 2014年第2期24卷 48-53页

作者： HONG Wen-qiang CHE Chao ZHANG Qiang WEI Xiao-peng Key Lab of Advanced Design and Intelligent Computing (Dalian University) Ministry of Education

To solve the data persistence problem in the management system, this paper used the popular object-relational mapping framework Hibernate to achieve the persistence layer which in a medicines inventory management system. This paper described the advantages and principles of the Hibernate, and then showed the written work of the configuration files, mapping files, persistent classes, etc. Finally, the paper showed how to display the specific data information in the TableViewer based on the Eclipse RCP framework. It is observed that, operating the objects in the Hibernate framework is more flexible and efficient than using JDBC directly. Ad in addition, the application based on Eclipse RCP framework can take over many excellent features of Eclipse, and the developers can improve their efficiency by these features.

关键词： Hibernate data persistence O/R mapping Eclipse RCP TableViewer database

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MFN: Explainable DNA triple helixes Stabilized design based on mCGR and flow network

MFN: Explainable DNA triple helixes Stabilized Design based ...

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2024 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2024

作者： Wen, Xiaoru Sun, Lijun Xie, Lei Zheng, Yanfen Cao, Ben Wang, Bin Dalian University Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education School of Software Engineering Dalian China Dalian University of Technology School of Computer Science and Technology Dalian China

ISBN: (纸本)9798350386226

DNA triple helix structure, as a highly specific gene targeting tool, enable gene regulation by precisely identifying and binding to target DNA sequences. However, the limits of design quality and efficiency affect their wide application in gene therapy. Therefore, in this paper, we propose an antiparallel DNA triple helixes design method-MFN based on matrix chaotic game representation (mCGR) and flow network. Leveraging the structural characteristics of DNA sequences, this method employs the mCGR algorithm to construct an initial matrix, generating a set of DNA sequences that conform to foundational constraints. Then, these sequences are mapped as stream network nodes to screen crosstalk structures by path search, and the whole process is observable and interpretable. Experimental results show that MFN significantly improves the design efficiency of triple helix structure and reduces crosstalk phenomenon. Wet experiments further verify the effectiveness of the method. In summary, MFN achieves an efficient and high-quality design of DNA triple helixes and provides a new idea for targeted gene therapy. © 2024 IEEE.

关键词： Crosstalk

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Kinematics and Dynamics Analysis of a Quadruped Walking Robot with Parallel Leg Mechanism

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Chinese Journal of Mechanical Engineering 2013年第5期26卷 881-891页

作者： WANG Hongbo SANG Lingfeng HU Xing ZHANG Dianfan YU Hongnian Parallel Robot and Mechatronic System Laboratory of Hebei Province Yanshan University Key Laboratory of Advanced Forging & Stamping Technology and Science of Ministry of Education Yanshan University Xi’an University of Architecture and Technology Science and Technology Research Institute Yanshan University School of Design Engineering and ComputingBournemouth University

It is desired to require a walking robot for the elderly and the disabled to have large capacity,high stiffness,stability,***,the existing walking robots cannot achieve these requirements because of the weight-payload ratio and simple ***,Improvement of enhancing capacity and functions of the walking robot is an important research *** to walking requirements and combining modularization and reconfigurable ideas,a quadruped/biped reconfigurable walking robot with parallel leg mechanism is *** proposed robot can be used for both a biped and a quadruped walking *** kinematics and performance analysis of a 3-UPU parallel mechanism which is the basic leg mechanism of a quadruped walking robot are conducted and the structural parameters are *** results show that performance of the walking robot is optimal when the circumradius R,r of the upper and lower platform of leg mechanism are 161.7 mm,57.7 mm,*** on the optimal results,the kinematics and dynamics of the quadruped walking robot in the static walking mode are derived with the application of parallel mechanism and influence coefficient theory,and the optimal coordination distribution of the dynamic load for the quadruped walking robot with over-determinate inputs is analyzed,which solves dynamic load coupling caused by the branches’ constraint of the robot in the walk *** laying a theoretical foundation for development of the prototype,the kinematics and dynamics studies on the quadruped walking robot also boost the theoretical research of the quadruped walking and the practical applications of parallel mechanism.

关键词： walking robot parallel leg mechanism kinematics dynamics over-determinate inputs

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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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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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Sliding mode control for Hes1-dimer biochemical reaction system

Sliding mode control for Hes1-dimer biochemical reaction sys...

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International Conference on Systems and Informatics (ICSAI)

作者： Taobei Su Hui Lv Changjun Zhou Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing (Dalian University) Dalian China

This paper presents the sliding mode control (SMC) of the Hes1-dimer biochemical reaction system, which regulates the concentration of reactants and products at a desired value. A sliding surface function and a controller with variable structure are proposed. By introducing some specified matrices, a linear matrix inequality (LMI) condition for the stability of the Hes1-dimer biochemical reaction system is derived, that is, the stability of the sliding mode dynamics is guaranteed. Moreover, a SMC law is designed, and forced the trajectories of the Hes1-dimer biochemical reaction system onto the designed sliding surface and remain slid thereon. The devised control strategy can ensure the rapid convergence of state response and the insensitivity to external disturbances. Finally, a simulation is given to demonstrate the validity of the proposed scheme.

关键词： Stability analysis Biological system modeling Mathematical model Proteins Sliding mode control Linear matrix inequalities Trajectory

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Novel image watermarking algorithm based on DWT and chaos theory

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Journal of Information and Computational Science 2010年第7期7卷 1613-1620页

作者： Ma, Na Zhang, Qiang Wei, Xiaopeng Key Laboratory of Advanced Design and Intelligent Computing Dalian University Ministry of Education Dalian 116622 China

A novel image watermarking algorithm based on discrete wavelet transformation (DWT) and chaotic is proposed block the carrier image, scrambling and block the watermark image. First, randomly selected a block of carrier image decomposed by means of the wavelet transform, embed a piece of watermark image into low frequency coefficients of a piece of carrier image. According to the characteristics of the binary watermark image and set the adjustment factor. Copyright © 2010 Binary Information Press.

关键词： Signal reconstruction

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Face recognition based on PCA image reconstruction and LDA

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Optik 2013年第22期124卷 5599-5603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 has become a research hotspot in the field of pattern recognition and artificial intelligence. Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) are two traditional methods in pattern recognition. In this paper, we propose a novel method based on PCA image reconstruction and LDA for face recognition. First, the inner-classes covariance matrix for feature extraction is used as generating matrix and then eigenvectors from each person is obtained, then we obtain the reconstructed images. Moreover, 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 simulation experiments illustrate the effectivity of this method on the ORL face database.

关键词： PCA Image reconstruction Residual images LDA Face recognition

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Acoustic Scene Classification by Enhanced High-Frequency Weak Signal Characteristic Spectrum 19

Acoustic Scene Classification by Enhanced High-Frequency Wea...

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Proceedings of the 2019 8th International Conference on computing and Pattern Recognition

作者： Wenjie Hao Lasheng Zhao Qiang Zhang Key Laboratory of Advanced Design and Intelligent Computing Ministry of Education Dalian University

ISBN: (纸本)9781450376570

In the acoustic scene classification task, the method of using mel-spectrogram to express the acoustic scene information is widely applied. However, mel-spectrogram has defects and it ignores important information about some acoustic scenes. The paper improves the mel-spectrogram and its generation algorithm. Including: I. For the sensitivity of the acoustic scene to high-frequency acoustic signals, the paper changes the filter design method of Mel Frequency Cepstrum Coefficient (MFCC). This method preserves more high frequency information by applying the equal-height triangular filter banks and increasing the number of the filters. II. Based on the previous step, an enhancement algorithm is proposed for the problem of the lack of high-frequency weak signals in the characteristic spectrum. The algorithm performs nonlinear mapping on the mel-spectrogram, which makes the transformed high-frequency weak signal feature information more obvious. The algorithm is verified by DCASE 2018 acoustic scene classification dataset and LITIS ROUEN dataset. The experimental results demonstrate the effectiveness of the proposed algorithm.

关键词： MFCC weak signal feature extraction Acoustic scene classification

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Inferring gene regulatory network from bayesian network model based on re-sampling

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Telkomnika 2013年第1期11卷 215-222页

作者： Zhang, Qian Zheng, Xuedong Zhang, Qiang Zhou, Changjun Key Laboratory of Advanced Design and Intelligent Computing Dalian university Ministry of Education Dalian 116622 China

Nowadays, gene chip technology has rapidly produced a wealth of information about gene expression activities. But the time-series expression data present a phenomenon that the number of genes is in thousands and the number of experimental data is only a few dozen. For such cases, it is difficult to learn network structure from such data. And the result is not ideal. So it needs to take measures to expand the capacity of the sample. In this paper, the Block bootstrap re-sampling method is utilized to enlarge the small expression data. At the same time, we apply "K2+T" algorithm to Yeast cell cycle gene expression data. Seeing from the experimental results and comparing with the semi-fixed structure EM learning algorithm, our proposed method is successful in constructing gene networks that capture much more known relationships as well as several unknown relationships which are likely to be novel.

关键词： Gene expression

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