ZheJiang Textile & Fashion College

Ningbo, China

ZheJiang Textile & Fashion College

Ningbo, China
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Chen G.,Tongji University | Chen G.,Zhejiang Textile & Fashion College | Zhou Q.,Tongji University | Wu J.,Zhejiang Textile & Fashion College | Yan N.,Polytechnic University of Mozambique
Xitong Fangzhen Xuebao / Journal of System Simulation | Year: 2017

In order to study the redundant robot joint coupling effect on the control of the robot, the model of 7DOF manipulator was built based on SolidWorks, then co-simulation of ADAMS and MATLAB was researched; PD servo control scheme of single joint was designed based on the distributed control, the dynamic response curve of each joint of the manipulator was obtained in the process of synchronous movement, and the simulation of the end actual actuator was researched with the interference of the external environment. The results show that each joint and end effector response is well, the rationality of the controller and the parameter design is verified, which further proves that this method is feasible, effective and practical, which provides theoretical and experimental basis for the research of control of redundant manipulator. © 2017, The Editorial Board of Journal of System Simulation. All right reserved.


Gao T.,Zhejiang Textile & Fashion College | Huang J.,Chongqing University | Zhou Y.,Rojek Intelligent Technology Co. | Song Y.-D.,Chongqing University
International Journal of Systems Science | Year: 2016

In this paper, a robust adaptive controller for a underactuated ship is proposed to make the ship follow a predefined path with guaranteed transient performance and arbitrarily small steady-state position error and orientation error, despite the presence of environmental disturbances induced by wave, wind and ocean current and unknown system parameters. We design a new adaptive state feedback controller and parameter estimators to guarantee converging exponentially by assuming all states are available. It is shown that the mean-square tracking errors are of order of an arbitrarily small design parameter, and the position error and the orientation error also decrease at a pre-specified exponential rate. Simulations with a commercial monohull ship using Matlab also demonstrate the effectiveness of the controllers. © 2016 Informa UK Limited, trading as Taylor & Francis Group


Luo B.,Zhejiang Textile fashion College | Shao L.,Zhejiang Textile fashion College
Advanced Materials Research | Year: 2011

Three traditional color separation methods such as automatic color separation of fabric CAD, self-defined primary color separation and spot color separation are analyzed by comparison, the advantages and disadvantages of color separation based on cluster analysis are discussed by tests. On this basis, an improved fabric color separation method is put forward based on genetic fuzzy clustering algorithm, and the experimental results show that the fidelity of fabric patterns after color separation using this improved method is superior to that after color separation using traditional color separation method. © (2011) Trans Tech Publications, Switzerland.


Luo B.,Zhejiang Textile Fashion College
Advanced Materials Research | Year: 2011

An improved fabric color separation method is put forward based on genetic fuzzy clustering algorithm. At first, adopt six basic primary colors are used to carry on color separation to images of fabric including C(blue), M(magenta), Y(yellow), G(green), K(black) and W(white), and the data set of fuzzy cluster is formed , consequently, the division of fuzzy cluster can be completed, at last Genetic-fuzzy cluster algorithm is applied to color separation of decorated Jacquard fabric. The experimental results show that the fidelity of fabric patterns after color separation using this improved method is superior to that after color separation using traditional color separation method. © (2011) Trans Tech Publications, Switzerland.


Weng Y.,Zhejiang Textile Fashion College
Advanced Materials Research | Year: 2011

Chitosan has the function of anti-bacterial, and it can produce natural green anti-bacterial health-care textiles. However, after the finishing process, the fabrics properties are influenced as well. With the experiments, we study the impaction of chitosan on the fabrics properties. The results indicate: the anti-bacterial performance is good after the finishing process, and the shrinkage has been greatly improved. © (2011) Trans Tech Publications, Switzerland.


Zou H.-L.,Applied Information Sciences | Zou H.-L.,Jing de Zhen Ceramic Institute | Xiao X.,Jing de Zhen Ceramic Institute | Xiao X.,ZheJiang Textile & Fashion College | Xiao X.,Gordon Life Science Institute
Journal of Membrane Biology | Year: 2016

With the avalanche of the newly found protein sequences in the post-genomic epoch, there is an increasing trend for annotating a number of newly discovered enzyme sequences. Among the various proteins, enzyme was considered as the one of the largest kind of proteins. It takes part in most of the biochemical reactions and plays a key role in metabolic pathways. Multifunctional enzyme is enzyme that plays multiple physiological roles. Given a multifunctional enzyme sequence, how can we identify its class? Especially, how can we deal with the multi-classes problem since an enzyme may simultaneously belong to two or more functional classes? To address these problems, which are obviously very important both to basic research and drug development, a multi-label classifier was developed via three different prediction models with multi-label K-nearest algorithm. Experimental results obtained on a stringent benchmark dataset of enzymes by jackknife cross-validation test show that the predicting results were exciting, indicating that the current method could be an effective and promising high throughput method in the enzyme research. We hope it could play an important complementary role to the existing predictors in identifying the classes of enzymes. © 2016 Springer Science+Business Media New York


Luo B.J.,Zhejiang Textile Fashion College
Advanced Materials Research | Year: 2011

The paper proposes a new method to implement 3D simulation for silk fabrics with complicated structure (such as Re-weft texture) based on geometrical model and texture mapping. At First, fitting polynomial curve is used to simulate bending form of the yarn, three-dimensional model of the yarn is generated through the matrix calculation, and computer model of re-weft jacquard silk fabric is put forward by stratification of weft yarn in fabric. Three-dimensional geometric model of re-weft jacquard silk fabric is built based on fabric structure of the Peirce mode and virtual reality modeling language (VRML), light intensity function and illumination model of re-weft fabric are established with Open GL tools hereafter. Also, yarn (in particular deformating filament, colored yarn) images extracted out of actual yarn photographs (in the yarn library), which is scanned by scanners, is applied to yarn models through texture mapping to improve the sense of reality for re-weft jacquard silk fabric. © (2011) Trans Tech Publications.


Xiao X.,Jing de Zhen Ceramic Institute | Xiao X.,ZheJiang Textile & Fashion College | Xiao X.,Gordon Life Science Institute | Hui M.-J.,Jing de Zhen Ceramic Institute | And 2 more authors.
Journal of Membrane Biology | Year: 2015

Enzymes play pivotal roles in most of the biological reaction. The catalytic residues of an enzyme are defined as the amino acids which are directly involved in chemical catalysis; the knowledge of these residues is important for understanding enzyme function. Given an enzyme, which residues are the catalytic sites, and which residues are not? This is the first important problem for in-depth understanding the catalytic mechanism and drug development. With the explosive of protein sequences generated during the post-genomic era, it is highly desirable for both basic research and drug design to develop fast and reliable method for identifying the catalytic sites of enzymes according to their sequences. To address this problem, we proposed a new predictor, called iCataly-PseAAC. In the prediction system, the peptide sample was formulated with sequence evolution information via grey system model GM(2,1). It was observed by the rigorous jackknife test and independent dataset test that iCataly-PseAAC was superior to exist predictions though its only use sequence information. As a user-friendly web server, iCataly-PseAAC is freely accessible at http://www.jci-bioinfo.cn/iCataly-PseAAC. A step-by-step guide has been provided on how to use the web server to get the desired results for the convenience of most experimental scientists. © 2015, Springer Science+Business Media New York.


Zou H.-L.,Jing de Zhen Ceramic Institute | Xiao X.,Jing de Zhen Ceramic Institute | Xiao X.,ZheJiang Textile & Fashion College | Xiao X.,Gordon Life Science Institute
Journal of Membrane Biology | Year: 2015

Given a membrane protein sequence, how can we identify its type, particularly when a query protein may have the multiplex character, i.e., simultaneously exist at two or more different types. However, most of the existing predictors or methods can only be used to deal with the single-type or “singleplex” membrane proteins. Actually, multiple-type or “multiplex” membrane proteins should not be ignored because they usually posses some unique biological functions worthy of our special notice. In this study, three different models were developed, which have the ability to deal with the systems containing both singleplex and multiplex membrane proteins. The overall success rate thus obtained was 0.6440, indicating that the study may become a very useful high-throughput tool in identifying the functional types of membrane proteins. © 2015 Springer Science+Business Media New York


Xiao X.,Jing de Zhen Ceramic Institute | Xiao X.,ZheJiang Textile & Fashion College | Xiao X.,Gordon Life Science Institute | Zou H.-L.,Jing de Zhen Ceramic Institute | Lin W.-Z.,Jing de Zhen Ceramic Institute
Journal of Membrane Biology | Year: 2015

Predicting membrane protein type is a challenging problem, particularly when the query proteins may simultaneously have two or more different types. Most of the existing methods can only be used to deal with the single-label proteins. Actually, multiple-label proteins should not be ignored because they usually bear some special functions worthy of in-depth studies. By introducing the “multi-labeled learning” and hybridizing evolution information through Grey-PSSM, a novel predictor called iMem-Seq is developed that can be used to deal with the systems containing both single and multiple types of membrane proteins. As a demonstration, the jackknife cross-validation was performed with iMem-Seq on a benchmark dataset of membrane proteins classified into the eight types, where some proteins belong to two or there types, but none has ≥25 % pairwise sequence identity to any other in a same subset. It was demonstrated via the rigorous cross-validations that the new predictor remarkably outperformed all its counterparts. As a user-friendly web-server, iMem-Seq is freely accessible to the public at the website http://www.jci-bioinfo.cn/iMem-Seq. © 2015, Springer Science+Business Media New York.

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