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Nonlinear process identification in the presence of multiple correlated hidden scheduling variables with missing data

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AIChE Journal 2015年第10期61卷 3270-3287页

作者： Chen, Lei Khatibisepehr, Shima Huang, Biao Liu, Fei Ding, Yongsheng Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Shanghai201620 China College of Information Sciences and Technology Donghua University Shanghai201620 China Institute of Automation Jiangnan University Wuxi214122 China Dept. of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada Institute of Automation Jiangnan University Wuxi214122 China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Shanghai201620 China College of Information Sciences and Technology Donghua University Shanghai201620 China

Identification of nonlinear processes in the presence of noise corrupted and correlated multiple scheduling variables with missing data is concerned. The dynamics of the hidden scheduling variables are represented by a state-space model with unknown parameters. To assure generality, it is assumed that the multiple correlated scheduling variables are corrupted with unknown disturbances and the identification dataset is incomplete with missing data. A multiple model approach is proposed to formulate the identification problem of nonlinear systems under the framework of the expectation-maximization algorithm. The parameters of the local process models and scheduling variable models as well as the hyperparameters of the weighting function are simultaneously estimated. The particle smoothing technique is adopted to handle the computation of expectation functions. The efficiency of the proposed method is demonstrated through several simulated examples. Through an experimental study on a pilot-scale multitank system, the practical advantages are further illustrated. © 2015 American Institute of Chemical Engineers.

关键词： Nonlinear systems

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GA Based Placement Optimization for Hybrid Distributed Storage

GA Based Placement Optimization for Hybrid Distributed Stora...

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IEEE International Conference on High Performance Computing and Communications (HPCC)

作者： Yizi Wu Youtao Zhang College of Information Science and Technology Engineering Research Center of Digitized Textile & Fashion Technology Ministry of Education Donghua University Shanghai China Department of Computer Science University of Pittsburgh Pittsburgh PA U.S.A

The VOD (video on-demand) applications, in order to minimize access latency and improve quality of service, require periodically optimizing the placement of their large volume of video, courseware, and database files in data centers. Migration-enhanced data placement schemes allow data movement at runtime, which imposes significant overhead, particularly for hybrid distributed storage systems that consist of both SSDs and HDDs. In this paper, we propose a genetic algorithm based multi-objective optimization scheme for data placement and migration optimization in software defined storage systems. We prototype and evaluate the proposed scheme with comparison to simple heuristic designs. Our results show that our design acquires better nondominated resolution set and achieves around 15% access delay and migration cost reduction.

关键词： Optimization Distributed databases Servers Bandwidth Runtime Computer architecture Genetic algorithms

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Feed-forward-like decoupling control in coagulation bath of carbon fiber precursor

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Journal of Donghua University (English Edition) 2014年第2期31卷 155-159页

作者： Xu, Feng Ren, Li-Hong College of Information Science and Technology Donghua University Shanghai 201620 China Engineering Research Center of Digitized Textile and Fashion Technology of Ministry of Education Shanghai 201620 China

The coagulation bath system of carbon fiber precursor is a complicated and multivariable coupling system. Based on the model of industrial production, the full dynamic decoupling control of the coagulation bath system of carbon fiber precursor is achieved in combination with multivariable feed-forward-like decoupling and proportional-integral-differential (PID) control. Compared with the conventional PID decoupling control, the experiment results show that the proposed method has a better control effect. The use of the controller can achieve complete decoupling of three parameters from coagulation bath system. The method should have great applications. Copyright © 2014.

关键词： Two term control systems

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Performance prediction of carbon fiber protofilament based on SAGA-SVR

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Journal of Donghua University (English Edition) 2014年第2期31卷 92-97页

作者： He, Cong Ren, Li-Hong Ding, Yong-Sheng College of Information Science and Technology Donghua University Shanghai 201620 China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai 201620 China

The existing optimized performance prediction of carbon fiber protofilament process model is still unable to meet the production needs. A way of performance prediction on carbon fiber protofilament was presented based on support vector regression (SVR) which was optimized by an optimization algorithm combining simulated annealing algorithm and genetic algorithm (SAGA-SVR). To verify the accuracy of the model, the carbon fiber protofilament production test data were analyzed and compared with BP neural network (BPNN). The results show that SAGA-SVR can predict the performance parameters of the carbon fiber protofilament accurately. Copyright © 2014.

关键词： Carbon fibers

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The 5th International Conference on Biomedical engineering and Biotechnology (ICBEB 2016) Abstracts

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BMC MEDICAL IMAGING 2016年第SUPPL 1期16卷 65-65页

作者： [Anonymous] Department of MRI Shandong Medical Imaging Research Institute Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China Department of Interventional Radiology Shandong Provincial Hospital Affiliated to Shandong University Jinan Shandong 250021 People’s Republic of China College of Information Science and Technology Engr. Research Center of Digitized Textile & Fashion Tech. for Ministry of Education Donghua University Shanghai 201620 China Intelligent multimedia information processing Lab College of Software Northeastern University Shenyang Liaoning Province 110004 China Institute of Biomedical and Health Engineering Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China School of Computer Science and Technology Nanjing Normal University Nanjing China Department of Electrical Engineering The City College of New York CUNY New York USA Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing Nanjing China School of Electronic Science and Engineering Nanjing University Nanjing Jiangsu 210046 China College of Engineering Nanyang Technological University Singapore 639798 Singapore School of Electronic Information Shanghai Dianji University Shanghai China School of Natural Sciences and Mathematics Shepherd University Shepherdstown WV 25443 USA Davis College of Agriculture Natural Resources and Design West Virginia University Morgantown WV 26505 USA State Key Laboratory of Millimeter Waves Southeast University Nanjing 210096 China Center of Medical Physics and Technology Hefei Institutes of Physical Science Chinese Academy of Sciences Hefei China College of Agricultural and Life Sciences University of Florida Gainesville FL 32611 USA Courant Institute of Mathematical Sciences New York University New York NY 10012 USA Translational Imaging Division & MRI Unit Columbia University and New York State Psychiatric Institute New York NY 10032 USA Guangxi Key Laboratory of Manufacturing System & Adv

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An improved Orthogonal Matching Pursuit algorithm for signal reconstruction in wireless body sensor network

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 461卷 101-108页

作者： Jiang, Rui Ding, Yongsheng Hao, Kuangrong Shu, Shiyu College of Information Sciences and Technology Ministry of Education Donghua University Shanghai201620 China Engineering Research Center of Digitized Textile & Fashion Technology Ministry of Education Donghua University Shanghai201620 China

ISBN: (纸本)9783662452820

Energy efficiency is the primary challenge of wireless body sensor network (WBSN). Compressed sensing (CS) is a rapidly emerging signal processing technique that enables accurate capture and reconstruction of sparse signals from only a fraction of Nyquist Rate samples, significantly reducing the data-rate and system power consumption which solve the key issues in the WBSN. This paper proposes an improved CS-based Orthogonal Matching Pursuit (IOMP) algorithm in the WBAN. We evaluate the IOMP algorithm against the OMP algorithm from four aspects: compression ratio, percentage root-mean-square distortion, signal noise ratio and iterative times. Simulation results shows that, at the same compressed ratio, PRD SNR and iterative times of the proposed method are improved over those of the OMP algorithm. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Signal reconstruction

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Stability of neutral impulsive nonlinear stochastic evolution equations with time varying delays

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Asian Journal of Control 2014年第5期16卷 1416-1424页

作者： Zhang, Lei Ding, Yongsheng Wang, Tong Hu, Liangjian Hao, Kuangrong College of Information Sciences and Technology Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai201620 China Department of Mathematics Donghua University Shanghai201620 China

In this paper, we consider the stability of mild solutions to neutral impulsive nonlinear stochastic evolution equations with time varying delays. With the non-Lipschitz condition, the Lipschitz condition being taken as a special case, on the impulsive term, the existence, uniqueness and sufficient conditions for the exponential stability in the pth moment and the almost sure exponential stability of the mild solutions are derived by employing a fixed point approach. An example is provided to illustrate the efficiency of the obtained theorems. © 2014 Chinese Automatic Control Society and Wiley Publishing Asia Pty Ltd.

关键词： Time delay

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Global Nonlinear Kernel Prediction for Large Data Set With a Particle Swarm-Optimized Interval Support Vector Regression

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IEEE Transactions on Neural Networks and Learning Systems 2015年第10期26卷 2521-34页

作者： Ding, Yongsheng Cheng, Lijun Pedrycz, Witold Hao, Kuangrong Engineering Research Center of Digitized Textile and Apparel Technology Ministry of Education Shanghai 201620 China College of Information Science and Technology Donghua University Shanghai 201620 China Centers for Computational Biology and Bioinformatics Department of Medical and Molecular Genetics School of Medicine Indiana University Indianapolis 46202 IN United States Department of Electrical and Computer Engineering University of Alberta Edmonton T6G 2R3 AB Canada Department of Electrical and Computer Engineering Faculty of Engineering King Abdulaziz University Jeddah 21589 Saudi Arabia Systems Research Institute Polish Academy of Sciences Warsaw 00-656 Poland

A new global nonlinear predictor with a particle swarm-optimized interval support vector regression (PSO-ISVR) is proposed to address three issues (viz., kernel selection, model optimization, kernel method speed) encountered when applying SVR in the presence of large data sets. The novel prediction model can reduce the SVR computing overhead by dividing input space and adaptively selecting the optimized kernel functions to obtain optimal SVR parameter by PSO. To quantify the quality of the predictor, its generalization performance and execution speed are investigated based on statistical learning theory. In addition, experiments using synthetic data as well as the stock volume weighted average price are reported to demonstrate the effectiveness of the developed models. The experimental results show that the proposed PSO-ISVR predictor can improve the computational efficiency and the overall prediction accuracy compared with the results produced by the SVR and other regression methods. The proposed PSO-ISVR provides an important tool for nonlinear regression analysis of big data.

关键词： Computational efficiency

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Influence of structures on the mechanical properties of PET biotextiles

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Journal of Donghua University (English Edition) 2014年第2期31卷 106-108页

作者： Liu, Xiao-Yan Wang, Lu Ding, Yong-Sheng College of Information Sciences and Technology Donghua University Shanghai 201620 China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai 201620 China Key Laboratory of Textile Science and Technology of Ministry of Education College of Textiles Donghua University Shanghai 201620 China

Occurrence of vascular diseases is increasing and leads to rising demand for the STENT-GRAFT (SG). To ensure the SG function properly, the materials should have low blood permeability and good mechanical properties. So far, there have been few systematic studies on the relationship between textile structures and mechanical properties of the bio-textiles used in the SG. In this study, six types of biomedical PET fabrics with different yarn structures and fabric structures were designed and fabricated. All the SG materials could meet the requirement of thickness, except the sample of 30 d×20 d with 2/2 twill construction, which was thicker than 0.12 mm. Bursting strength and water permeability (WP) of the six samples were also tested. Through the comparison of comprehensive performance, the PET fabric 30 d×20 d/12 f with 2/2 twill construction with both good resistances to permeability and bursting strength, might have good prospect in applications of vascular engineering. Copyright © 2014.

关键词： textiles

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Surface deformation with multi-constraints based on the minimum energy

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Journal of Donghua University (English Edition) 2014年第2期31卷 102-105页

作者： Yang, Huan-Yu Hao, Kuang-Rong Ding, Yong-Sheng College of Information Sciences and Technology Donghua University Shanghai 201620 China College of Information and Engineering Shanghai Open University Shanghai 200433 China Engineering Research Center of Digitized Textile and Fashion Technology Ministry of Education Donghua University Shanghai 201620 China

A method for deformation of 3D point clouds models was proposed with multi-constraints including arc-length constraints and multi-points position constraints. The energy function was built for the polyline which had been converted from the curve. Based on the minimum energy curve method, the curve on the mesh was deformed. The test results show that the proposed method has good performance. Compared with the other method, shape preserving of the curve is better. Finally, this method is used for the deformation of the 3D mannequin model. Circumference changes of the mannequin model can be reflected by the arc-length change in the size of the cross section. Copyright © 2014.

关键词： Deformation

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