Title: Exciton binding energy and excitonic absorption spectra in a parabolic quantum wire under transverse electric field
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Issue date:2011 Publication year:2011 Pages:1306-1311 Article number:6000549 Language:Chinese ISBN-13:9789881725592 Document type:Conference article (CA) Conference name:30th Chinese Control Conference, CCC 2011 Conference date:July 22, 2011 - July 24, 2011 Conference location:Yantai, China Conference code:86620 Sponsor:Academy of Mathematics and Systems Science, CAS; IEEE Control Systems Society; IEEE Industrial Electronics Society; The Society of Instr. and Contr. Engineers of Japan; Institute of Control, Robotics and Systems of Korea Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:The Lyapunov function of integral type is first introduced into a class of stochastic strict-feedback nonlinear systems with unknown virtual control gain functions. By utilizing the approximation capability of neural networks, backstepping technique and Young's inequality, a simple and effective adaptive neural network state feedback controller is constructed to ensure that the system is semi-global bounded in probability. Under some conditions, by the Lyapunov method, it is shown that all signals in the closed-loop system are bounded in probability. Simulation results are given to illustrate the effectiveness of the proposed control scheme. © 2011 Chinese Assoc of Automation. Number of references:15 Main heading:Adaptive control systems Controlled terms:Backstepping - Lyapunov functions - Lyapunov methods - Neural networks - Nonlinear feedback - Nonlinear systems - State feedback - Stochastic systems Uncontrolled terms:Adaptive Control - Adaptive neural network control - Adaptive neural networks - Approximation capabilities - Backstepping technique - Control schemes - Semi-global - Stochastic nonlinear systems - Strict-feedback nonlinear systems - Virtual control gain function - Young's inequality Classification code:723.4 Artificial Intelligence - 731.1 Control Systems - 921 Mathematics Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc. Accession number:20113914365495 Title:Reinforcement learning based job shop scheduling with machine choice Authors:Wang, Chao (1); Zhang, Hongbin (1); Guo, Jing (1); Chen, Ling (2) Author affiliation:(1) Department of Electronic and Information Engineering, YangZhou Polytechnic Institute, China; (2) College of Information Engineering, YangZhou University, China Corresponding author:Wang, C.(cnwangchao@163.com) Source title:Advanced Materials Research Abbreviated source title:Adv. Mater. Res. Volume:314-316 Monograph title:Advanced Manufacturing Technology Issue date:2011 Publication year:2011 Pages:2172-2176 Language:English ISSN:10226680 ISBN-13:9783037852156 Document type:Conference article (CA) Conference name:2011 International Conference on Advanced Design and Manufacturing Engineering, ADME 2011 Conference date:September 16, 2011 - September 18, 2011 Conference location:Guangzhou, China Conference code:86611 Sponsor:Guangdong University of Technology; Huazhong University of Science and Technology; Hong Kong University of Science and Technology; Hong Kong Polytechnic University; University of Nottingham Publisher:Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany Abstract:Job shop scheduling is a key technology in modern manufacturing. Scheduling performance will decide the enterprises' core competitiveness. In this paper, improved reinforcement learning with cohesion is used in dynamic job shop environment, and it eased the contradiction of precocious and slow convergence. Also the machine choice is considered. So the dual scheduling which included job and machine is achieved in this system. And it obtains better results through the experiments. The utilization of equipments and the emergency handling capacity can be improved in the dynamic environment. © (2011) Trans Tech Publications. Number of references:8 Main heading:Reinforcement learning Controlled terms:Adhesion - Competition - Design - Manufacture - Reinforcement - Scheduling Uncontrolled terms:Cohesion - Core competitiveness - Dynamic environments - Dynamic scheduling - Emergency handling - Job shop environment - Job-Shop scheduling - Key technologies - Machine choice - Scheduling performance Classification code:912.2 Management - 911.2 Industrial Economics - 801 Chemistry - 951 Materials Science - 723.4 Artificial Intelligence - 415 Metals, Plastics, Wood and Other Structural Materials - 408 Structural Design - 537.1 Heat Treatment Processes DOI:10.4028/www.scientific.net/AMR.314-316.2172 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc. Accession number:20113814352741 Title:Fitting relations on sets and applications Authors:Jiang, Guanghao (1); Xu, Luoshan (2) Author affiliation:(1) Huaibei Normal University, Department of Mathematics, Huaibei, China; (2) Yangzhou University, Department of Mathematics, Yangzhou, China Corresponding author:Jiang, G.(guanghaoj@126.com) Source title:2011 International Conference on Multimedia Technology, ICMT 2011 Abbreviated source title:Int. Conf. Multimedia Technol., ICMT Monograph title:2011 International Conference on Multimedia Technology, ICMT 2011 Issue date:2011 Publication year:2011 Pages:5403-5406 Article number:6002113 Language:English ISBN-13:9781612847740 Document type:Conference article (CA) Conference name:2nd International Conference on Multimedia Technology, ICMT 2011 Conference date:July 26, 2011 - July 28, 2011 Conference location:Hangzhou, China Conference code:86512 Sponsor:University of Louisville; Ningbo University; Zhejiang Sci-Tech University; Communication University of China; Georgia State University Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:In this paper, the concept of fitting relations on sets is introduced and generalized. The intrinsic characterizations of them are obtained. In addition, we give an algebraic characterization of posets for which the relation ≰ is fitting. © 2011 IEEE. Number of references:8 Main heading:Characterization Uncontrolled terms:Finitely fitting relation - Fitting relation Classification code:951 Materials Science DOI:10.1109/ICMT.2011.6002113 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc. Accession number:20113814355529 Title:L-fuzzy subalgebras and L-fuzzy filters of R Authors:Liu, Chunhui (1); Xu, Luoshan (2) Author affiliation:(1) Department of Elementary Education, Chifeng College, Inner Mongolia, Chifeng 024001, China; (2) Department of Mathematics, Yangzhou University, Jiangsu, Yangzhou 225002, China Corresponding author:Liu, C.(chunhuiliu1982@163.com) Source title:Advances in Intelligent and Soft Computing Abbreviated source title:Adv. Intell. Soft Comput. Volume:100 Monograph title:Nonlinear Mathematics for Uncertainty and its Applications Issue date:2011 Publication year:2011 Pages:667-674 Language:English ISSN:18675662 ISBN-13:9783642228322 Document type:Conference article (CA) Publisher:Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany Abstract:R Number of references:15 Main heading:Fuzzy filters Controlled terms:Algebra - Fuzzy logic Uncontrolled terms:Algebra homomorphisms - Formal deductive system - Logic algebra - Propositional calculus - Subalgebras Classification code:721.1 Computer Theory, Includes Formal Logic, Automata Theory, Switching Theory, Programming Theory - 723 Computer Software, Data Handling and Applications - 921.1 Algebra DOI:10.1007/978-3-642-22833-9_81 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc.
Accession number:20113814354363 Title:L1-norm sparse learning and its application Authors:Zhu, Xin-Feng (1); Li, Bin (1); Wang, Jian-Dong (2) Author affiliation:(1) College of Information Technology, Yangzhou University, Yangzhou, China; (2) College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China Corresponding author:Zhu, X.-F.(zxfeng168@163.com) Source title:Applied Mechanics and Materials Abbreviated source title:Appl. Mech. Mater. Volume:88-89 Monograph title:Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011 Issue date:2011 Publication year:2011 Pages:379-385 Language:English ISSN:16609336 ISBN-13:9783037852361 Document type:Conference article (CA) Conference name:International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation, CDMMS 2011 Conference date:September 13, 2011 - September 16, 2011 Conference location:Hangzhou, China Conference code:86582 Sponsor:National Natural Science Foundation of China (NSFC) Publisher:Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany Abstract:The need on finding sparse representations has attracted more and more people to research it. Researchers have developed many approaches (such as nonnegative constraint, l1-norm sparsity regularization and sparse Bayesian learning with independent Gaussian prior) for encouraging sparse solutions and established some conditions under which the feasible solutions could be found by those approaches. This paper commbined the L1-norm regularization and bayesian learning, called L1-norm sparse bayesian learning, which was inspired by RVM (relative vector machine). L1-norm sparse bayesian learning has found its applications in many fields such as MCR (multivariate curve resolution) and so on. We proposed a new method called BSMCR (bayesian sparse MCR) to enhance the quality of resolve result. © (2011) Trans Tech Publications. Number of references:16 Main heading:Computer aided instruction Controlled terms:Computer aided design - Computer simulation - Industrial applications - Industrial research - Manufacture Uncontrolled terms:Bayesian learning - BSMCR - L Classification code:723.5 Computer Applications - 901.3 Engineering Research - 913 Production Planning and Control; Manufacturing - 913.4 Manufacturing DOI:10.4028/www.scientific.net/AMM.88-89.379 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc. Accession number:20113814355530 Title:Completely compact elements and atoms of rough sets Authors:Li, Gaolin (1); Xu, Luoshan (1) Author affiliation:(1) Department of Mathematics, Yangzhou University, Yangzhou 225002, China; (2) Department of Mathematics, Yancheng Teachers College, Yancheng 224002, China Corresponding author:Li, G.(ligaolin1981@126.com) Source title:Advances in Intelligent and Soft Computing Abbreviated source title:Adv. Intell. Soft Comput. Volume:100 Monograph title:Nonlinear Mathematics for Uncertainty and its Applications Issue date:2011 Publication year:2011 Pages:675-682 Language:English ISSN:18675662 ISBN-13:9783642228322 Document type:Conference article (CA) Publisher:Springer Verlag, Tiergartenstrasse 17, Heidelberg, D-69121, Germany Abstract:Rough set theory established by Pawlak in 1982 plays an important role in dealing with uncertain information and to some extent overlaps fuzzy set theory. The key notions of rough set theory are approximation spaces of pairs (U,R) with R being an equivalence relation on U and approximation operators R and R. Let R be the family {(RX, RX)|X ⊆ U} of approximations endowed with the pointwise order of set-inclusion. It is known that R is a complete Stone lattice with atoms and is isomorphic to the family of rough sets in the approximation space (U, R). This paper is devoted to investigate algebraicity and completely distributivity of R from the view of domain theory. To this end, completely compact elements, compact elements and atoms of R are represented. In terms of the representations established in this paper, it is proved that R is isomorphic to a complete ring of sets, consequently R is a completely distributive algebraic lattice. An example is given to show that R is not atomic nor Boolean in general. Further, a sufficient and necessary condition for R being atomic is thus given. © 2011 Springer-Verlag Berlin Heidelberg. Number of references:19 Main heading:Rough set theory Controlled terms:Atoms - Fuzzy set theory - Fuzzy sets Uncontrolled terms:Algebraic lattices - Approximation operators - Approximation spaces - Complete ring of sets - Completely compact element - Distributivity - Domain theory - Equivalence relations - Rough set - Sufficient and necessary condition - Uncertain informations Classification code:921 Mathematics - 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory - 931.3 Atomic and Molecular Physics DOI:10.1007/978-3-642-22833-9_82 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc.
Accession number:20113814352867 Title:Predicting wet gluten content of winter wheat through remote sensing method based on HJ-1A/1B images Authors:Tan, Changwei (1); Wang, Junchan (1); Guo, Wenshan (1); Wang, Jihua (2); Huang, Wenjiang (2) Author affiliation:(1) Jiangsu Province Key Laboratory of Crop Genetics and Physiology, Yangzhou University, Yangzhou, China; (2) National Engineering Research Center for Information Technology in Agriculture, Beijing, China Corresponding author:Guo, W. Source title:2011 International Conference on Multimedia Technology, ICMT 2011 Abbreviated source title:Int. Conf. Multimedia Technol., ICMT Monograph title:2011 International Conference on Multimedia Technology, ICMT 2011 Issue date:2011 Publication year:2011 Pages:3603-3606 Article number:6002239 Language:Chinese ISBN-13:9781612847740 Document type:Conference article (CA) Conference name:2nd International Conference on Multimedia Technology, ICMT 2011 Conference date:July 26, 2011 - July 28, 2011 Conference location:Hangzhou, China Conference code:86512 Sponsor:University of Louisville; Ningbo University; Zhejiang Sci-Tech University; Communication University of China; Georgia State University Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:The purpose of this study is to further improve the accuracy of predicting winter wheat quality with remote sensing, and to enhance the prediction mechanism. In order to predict wet gluten content (WGC) in winter wheat using HJ-1A/1B images, The experiment was carried out in Jiangsu regions during 2010 winter wheat growth season. Based on HJ-1A/1B image, synchronous or quasi-simultaneous ground observations of SPAD value, biomass, leaf area index(LAI), leaf nitrogen content(LNC) and grain quality parameters of winter wheat at jointing and booting stage. Firstly, this study analyzed the relationships between WGC and remote sensing variables, and between growth parameters and satellite remote sensing variables. Secondly, the quantitative models were established and evaluated to predict WGC. Finally, the indirect model of predicting WGC based on remote sensing variable and biomass was compared to the direct model based on only remote sensing variable. The results showed that: The relationship between WGC and remote sensing variables was more significant at booting stage than at jointing stage. At booting stage, WGC presented a more significant correlation with normalized difference vegetation index(NDVI) than other remote sensing variables. At last, a direct model for predicting WGC was established with only NDVI. At the same time, biomass in this period also showed a higher correlation with WGC. Based on NDVI and biomass, an indirect model of predicting WGC also was established. The indirect and direct models were evaluated with 25 independent samples by the determination coefficient(R2) with 0.766 and 0.674, the root mean square error(RMSE) with 1.81% and 2.59%, respectively. The indirect model based on NDVI and biomass performed better to predict winter wheat WGC than the direct model based on only NDVI, and obtained the higher accuracy by 30% than the direct model. It is concluded that the research can provide an effective way to improve the accuracy of predicting wheat quality based on aerospace remote sensing, and contribute to large-scale application and promotion of the research results. © 2011 IEEE. Number of references:15 Main heading:Forecasting Controlled terms:Biomass - Crops - Ecology - Mathematical models - Mean square error - Remote sensing Uncontrolled terms:Aerospace remote sensing - Determination coefficients - Direct model - Grain quality - Ground observations - Growth parameters - Growth season - HJ-1A/1B image - Large-scale applications - Leaf area index - Leaf nitrogen content - Model-based OPC - Normalized difference vegetation index - Prediction model - Quantitative models - Quasi-simultaneous - Research results - Root mean square errors - Satellite remote sensing - Wet gluten content - Wheat quality - Winter wheat Classification code:454.3 Ecology and Ecosystems - 731.1 Control Systems - 821.4 Agricultural Products - 821.5 Agricultural Wastes - 921 Mathematics DOI:10.1109/ICMT.2011.6002239 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc.
Accession number:20113814350056 Title:Optimal behavior of government to promote enterprises' technological innovation Authors:Lv, Yan (1) Author affiliation:(1) Business School, Hohai University, Nanjing, China; (2) Business School, Yangzhou University, Yangzhou, China Corresponding author:Lv, Y. Source title:International Conference on Management and Service Science, MASS 2011 Abbreviated source title:Int. Conf. Manage. Serv. Sci., MASS Monograph title:International Conference on Management and Service Science, MASS 2011 Issue date:2011 Publication year:2011 Article number:5998946 Language:English ISBN-13:9781424465811 Document type:Conference article (CA) Conference name:International Conference on Management and Service Science, MASS 2011 Conference date:August 12, 2011 - August 14, 2011 Conference location:Wuhan, China Conference code:86578 Sponsor:IEEE Wuhan Section; Wuhan University; Nankai University; Fuzhou University; University of Science and Technology Beijing Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:Governments have an irreplaceable role in technical progress, but they can not be the main body instead of business. Goals of governments and enterprises in technological innovation are not consistent, so governments should build a "field" for enhancing businesses the sense of competitive edge and innovative preferences to motivate and guide technological innovation. The optimal behavior of the government should: firstly, improve the market mechanism, secondly, explore the laws on technological innovation and enhance their coordinative ability of resources, and finally conduct a survey to understand the practical needs of enterprises in technological innovation so as to give different guidance to different categories of enterprises. Optimal behavior should be measured by the probability of success, profitability and sustanability of technological innovation of enterprises. © 2011 IEEE. Number of references:6 Main heading:Innovation Controlled terms:Industry - Management science - Optimization - Profitability Uncontrolled terms:Competitive edges - Government optimal behavior - Market - Market mechanisms - Probability of success - Technical progress - Technological innovation - Uncertainty Classification code:911.2 Industrial Economics - 912 Industrial Engineering and Management - 912.2 Management - 921.5 Optimization Techniques DOI:10.1109/ICMSS.2011.05998946 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc. Accession number:20113814348545 Title:A study on encoding processing of career cases of primary and Middle School teachers with career plateau Authors:Kou, DongQuan (1) Author affiliation:(1) School of Educational Science, Yangzhou University, Yangzhou, Jiangsu Province, China Corresponding author:Kou, D.(koudq029@126.com) Source title:2011 International Conference on Control, Automation and Systems Engineering, CASE 2011 Abbreviated source title:Int. Conf. Control, Autom. Syst. Eng., CASE Monograph title:2011 International Conference on Control, Automation and Systems Engineering, CASE 2011 Issue date:2011 Publication year:2011 Article number:5997711 Language:English ISBN-13:9781457708602 Document type:Conference article (CA) Conference name:2011 International Conference on Control, Automation and Systems Engineering, CASE 2011 Conference date:July 30, 2011 - July 31, 2011 Conference location:Singapore, Singapore Conference code:86552 Sponsor:Singapore Management University Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:The comparative researches on the encoding processing characteristics of career cases between teachers with career plateau and the others without career plateau in the Primary and Middle School through experiment mode of Tversky' social cognition have showed that: (1) Teachers with career plateau have much more negative coding than those without career plateau, and they have more negative coding biases too; (2) Teachers with career plateau have the characters of negative social cognitional processing on coding. © 2011 IEEE. Number of references:9 Main heading:Professional aspects Controlled terms:Encoding (symbols) - Systems engineering - Teaching - Technical presentations Uncontrolled terms:Comparative research - Encoding processing - Middle school - Social cognition Yüklə 2,34 Mb. Dostları ilə paylaş:
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