Title: Exciton binding energy and excitonic absorption spectra in a parabolic quantum wire under transverse electric field
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Classification code:931.1 Mechanics - 921 Mathematics - 912.1 Industrial Engineering - 731.5 Robotics - 632 Hydraulics, Pneumatics and Related Equipment, and Fluidics - 605 Small Tools and Hardware - 603 Machine Tools - 601.3 Mechanisms - 537.1 Heat Treatment Processes DOI:10.4028/www.scientific.net/AMR.139-141.2168 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc. Accession number:20110313592541 Title:Several kernel methods for the simultaneous prediction of aromatic amino acids in mixtures Authors:Zhu, Xinfeng (1); Wang, Jiandong (1); Li, Bin (2); Jiang, Jian (1) Author affiliation:(1) College of Information Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China; (2) College of Information Technology, Yangzhou University, Yangzhou 225009, China Corresponding author:Zhu, X.(xfzhu@yzu.edu.cn) Source title:Journal of Computational Information Systems Abbreviated source title:J. Comput. Inf. Syst. Volume:6 Issue:12
Issue date:December 2010 Publication year:2010 Pages:3951-3957 Language:English ISSN:15539105 Document type:Journal article (JA) Publisher:Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States Abstract:Multivariate regression problem is a classic problem in the analytical chemistry field. Some conventional methods such as MLR and PLS have been used to cope with this problem, but these methods cannot tackle nonlinear problems. Kernel methods including Kernel Ridge Regression, Kernel-based Orthogonal Projections to Latent Structures, Support Vector Regression and Gaussian Process Regression have been applied to the multivariate regression problem in the determination of three aromatic amino acids (phenylalanine, tyrosine and tryptophan) in their mixtures by fluorescence spectroscopy. The results of the cross validation method show that the above mentioned kernel methods perform better than conventional methods. Furthermore, feature selection is proposed for these kernel methods to remove redundant features. © 2010 Binary Information Press. Number of references:21 Main heading:Regression analysis Controlled terms:Amino acids - Aromatic compounds - Chemical analysis - Feature extraction - Fluorescence spectroscopy Uncontrolled terms:GPR - K-OPLS - KRR - Multicomponents - Multivariate regression - SVR Classification code:716 Telecommunication; Radar, Radio and Television - 741.3 Optical Devices and Systems - 801 Chemistry - 804 Chemical Products Generally - 804.1 Organic Compounds - 922.2 Mathematical Statistics Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc.
Accession number:20111013722915 Title:A new type of multi-focus image fusion method based on curvelet transforms Authors:Hu, Xuelong (1); Lu, Huimin (1); Zhang, Lifeng (2); Serikawa, Seiichi (2) Author affiliation:(1) School of Information Engineering, Yangzhou University, Yangzhou, China; (2) Department of Electrical Engineering and Electronics, Kyushu Institute of Technology, Kitakyushu, Japan Corresponding author:Hu, X.(huxuelong@126.com) Source title:Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010 Abbreviated source title:Proc. - Int. Conf. Electr. Control Eng., ICECE Monograph title:Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010 Issue date:2010 Publication year:2010 Pages:172-175 Article number:5630806 Language:English ISBN-13:9780769540313 Document type:Conference article (CA) Conference name:International Conference on Electrical and Control Engineering, ICECE 2010 Conference date:June 26, 2010 - June 28, 2010 Conference location:Wuhan, China Conference code:84009 Sponsor:IEEE IAS Society; Huazhong University of Science and Technology; Wuhan University of Science and Technology Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:As the limited depth-of-focus of optical lenses, it is usually difficult to get an image that contains all information of the objects in focus. Multi-focus image fusion method can solve this problem effectively. A new multi-focus image fusion method was proposed, which is based on curvelet transform. After analyzing the classical multi-focus image fusion method, we use the maximum local energy method to calculate the energy of two images. Firstly, we got coefficients of two different focus images by curvelet transform; Secondly, we select the low-frequency coefficients by maximum local energy, and through a sliding window, obtained output the Maximum energy pixel information. Then the high-frequency coefficients are gotten by absolute maximum method; Finally, the fused image was obtained by performing an inverse curvelet transform. The experimental results show that the method performs well. Compared with wavelet transform method, median pyramid method, this method can get better performance. © 2010 IEEE. Number of references:10 Main heading:Image fusion Controlled terms:Electrical engineering - Lenses - Wavelet transforms Uncontrolled terms:Curvelet transforms - Depth of focus - Fused images - High frequency HF - Local energy - Local energy (LE) - Low frequency - Multi-focus image - Multifocus image fusion - Optical lens - Pixel information - Sliding Window Classification code:709 Electrical Engineering, General - 723.2 Data Processing and Image Processing - 741.3 Optical Devices and Systems - 921.3 Mathematical Transformations DOI:10.1109/iCECE.2010.49 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc.
Accession number:20110313603790 Title:Applying sustainable economizing technology to the low-carbon building Authors:Liu, Yi (1); Yang, Dingyi (2) Author affiliation:(1) School of Energy and Power Engineering, Yangzhou University, Yangzhou, China; (2) School of Civil Science and Engineering, Yangzhou University, Yangzhou, China Corresponding author:Liu, Y.(liu19740808@sina.com) Source title:2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010 Abbreviated source title:Int. Conf. E-Prod. E-Serv. E-Entertain., ICEEE Monograph title:2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010 Issue date:2010 Publication year:2010 Article number:5660153 Language:English ISBN-13:9781424471614 Document type:Conference article (CA) Conference name:2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010 Conference date:November 7, 2010 - November 9, 2010 Conference location:Henan, China Conference code:83418 Sponsor:IEEE Consumer Electronics Society; Henan Polytechnic University; Huazhong Normal University Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:The economizing technology is important to the low-carbon building. Sustainable low-carbon building needs the sustainable technology. This article combines natural technology with building to create a kind of sustainable low-carbon building that is cheap and convenient to use. Therefore this building conforms to the situation in china. In addition, the lifestyle in the building is very important. The sustainable life must be saving energy, environmentally friendly and is good for the health at the same time. The life can exist by sustainable low-carbon building. The new design idea that pursues the sustainable economizing technology and life is different from the design idea of the low-carbon building that pursues high technology and complex systems. It emphasizes the effect of using. This low-carbon building design idea can exert positive effects on reducing CO Number of references:13 Main heading:Buildings Controlled terms:Design - Energy utilization - Technology Uncontrolled terms:Building design - Complex systems - Design ideas - Energy consumption - Environmentally-friendly - High technology - Lifestyle - Low-carbon - New design - Positive effects - Saving energy - Sustainable technology Classification code:402 Buildings and Towers - 408 Structural Design - 525.3 Energy Utilization - 901 Engineering Profession DOI:10.1109/ICEEE.2010.5660153 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc. Accession number:20111013722927 Title:Blind detection method of anti-MAI based on Wiener filter Authors:Chen, Wanpei (1); Shao, Ning (1); Chen, Junsheng (1); Hu, Xuelong (1) Author affiliation:(1) School of Information Engineering, Yangzhou University, Yangzhou, China Corresponding author:Chen, W.(yz_cwp@yahoo.com.cn) Source title:Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010 Abbreviated source title:Proc. - Int. Conf. Electr. Control Eng., ICECE Monograph title:Proceedings - International Conference on Electrical and Control Engineering, ICECE 2010 Issue date:2010 Publication year:2010 Pages:3419-3422 Article number:5630823 Language:English ISBN-13:9780769540313 Document type:Conference article (CA) Conference name:International Conference on Electrical and Control Engineering, ICECE 2010 Conference date:June 26, 2010 - June 28, 2010 Conference location:Wuhan, China Conference code:84009 Sponsor:IEEE IAS Society; Huazhong University of Science and Technology; Wuhan University of Science and Technology Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:The DS-CDMA system has a serious problem that is the multiple-access interference (MAI). Usually, people use the Multi-User detection (MUD) to cancel the MAI. The Multi-User detection makes the best use of the information of other users to cancel the MAI. Indeedly, MUD can cancel the MAI completely, but it has very large computational burden and it increase the noise of the system, besides, it needs to compute the reversion of the matrix which causes the unstable of the system. The new blind detection method (auxiliary vector filter) of anti-MAI, based on Wiener filter, is studied in this paper. The method needs no more modulation, and no inversion of matrix. Also it can be blindly applied to the forward (base-to-mobile) link and its complexity is very low. The simulation results indicate that the auxiliary vector filter can completely cancel the MAI in DS-CDMA system, and its performance is much better than the matched-filter (MF), the decorrelating filter and the MMSE Multi-User Detection. © 2010 IEEE. Number of references:11 Main heading:Multiple access interference Controlled terms:Adaptive filtering - Bit error rate - Code division multiple access - Electrical engineering - Matched filters - Multiuser detection - Vectors Uncontrolled terms:Auxiliary vector - Bit-errors - Blind detection method - Computational burden - DS-CDMA - DS-CDMA system - matrix - MMSE multi-user detection - Multiple access - Multiple-access interfere - Simulation result - WIENER filters Classification code:731.1 Control Systems - 723.1 Computer Programming - 723 Computer Software, Data Handling and Applications - 722.3 Data Communication, Equipment and Techniques - 921.1 Algebra - 718 Telephone Systems and Related Technologies; Line Communications - 716 Telecommunication; Radar, Radio and Television - 709 Electrical Engineering, General - 703.2 Electric Filters - 717 Optical Communication DOI:10.1109/iCECE.2010.833 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc.
Accession number:20110213579863 Title:Local energy based multi-focus image fusion method on curvelet transforms Authors:Lu, Huimin (1); Li, Yujie (1); Kitazono, Yuhki (1); Zhang, Lifeng (1); Yang, Shiyuan (1); Serikawa, Seiichi (1) Author affiliation:(1) Kyushu Institute of Technology, Japan; (2) Yangzhou University, China Corresponding author:Lu, H.(keibin.riku@gmail.com) Source title:ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies Abbreviated source title:ISCIT - Int. Symp. Commun. Inf. Technol. Monograph title:ISCIT 2010 - 2010 10th International Symposium on Communications and Information Technologies Issue date:2010 Publication year:2010 Pages:1154-1157 Article number:5665164 Language:English ISBN-13:9781424470105 Document type:Conference article (CA) Conference name:2010 10th International Symposium on Communications and Information Technologies, ISCIT 2010 Conference date:October 26, 2010 - October 29, 2010 Conference location:Tokyo, Japan Conference code:83399 Sponsor:Hokkaido University Global COE Program; Meiji University Global COE Program Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:Because of the limited depth-of-focus in optical lenses, it is usually difficult to get an image that contains all information of the objects clearly. So, Multi-focus image fusion method can be proposed. This paper introduces a new multi-focus image fusion method, which is based on curvelet transform. After analyzing the classical multi-focus image fusion method, we use the maximum local energy method to calculate the energy of two images. Firstly, we got the coefficients of two different source focus images by curvelet transform; Secondly, we select the low-frequency coefficients by local energy, and through a sliding window, obtained output the Maximum energy pixel information. Then, the high-frequency coefficients are gotten by absolute maximum method; Finally, the fused image was obtained by performing an inverse curvelet transform. The numerical experiment results and visual effects show that the method performs well. Compared with wavelet transform method, this method can get better performance. ©2010 IEEE. Number of references:9 Main heading:Image fusion Controlled terms:Information technology - Numerical methods - Visual communication - Wavelet transforms Uncontrolled terms:Curvelet transforms - Depth of focus - Fused images - High frequency HF - Local energy - Low frequency - Multifocus image fusion - Multifocus images - Numerical experiments - Optical lens - Pixel information - Sliding Window - Visual effects Classification code:717.1 Optical Communication Systems - 723.2 Data Processing and Image Processing - 903 Information Science - 921.3 Mathematical Transformations - 921.6 Numerical Methods DOI:10.1109/ISCIT.2010.5665164 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc.
Accession number:20110313601290 Title:Improved SLM techniques for PAPR reduction in OFDM system Authors:Chen, Lin (1); Hu, Xuelong (2) Author affiliation:(1) School of Computer and Information, Shanghai University of Electronic Power, Shanghai 200090, China; (2) School of Information Engineering, Yangzhou University, Yangzhou 225009, China Corresponding author:Chen, L.(chenlin1008@sina.com) Source title:Journal of Computational Information Systems Abbreviated source title:J. Comput. Inf. Syst. Volume:6 Issue:13
Issue date:December 2010 Publication year:2010 Pages:4427-4434 Language:English ISSN:15539105 Document type:Journal article (JA) Publisher:Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States Abstract:Orthogonal Frequency Division Multiplexing (OFDM) has been focused on in high-data-rate wireless communication research. But the high Peak-to-Average Power Ratio (PAPR) is one of the main obstacles to limit wide applications of OFDM. In this paper, based on the thorough research of selective mapping (SLM), two modified SLM schemes with the standard arrays and the Riemann matrix are proposed. In the proposed schemes, it is not needed to exchange side information between transmitter and receiver. And it is shown that better PAPR reduction performance is achieved as compared to the basic SLM by Monte Carlo simulations. © 2010 Binary Information Press. Number of references:21 Main heading:Orthogonal frequency division multiplexing Controlled terms:Computer simulation - Frequency allocation - Mapping - Monte Carlo methods - Multiplexing - Orthogonal functions - Standards - Wireless telecommunication systems Uncontrolled terms:Data-rate - matrix - Monte Carlo Simulation - OFDM systems - PAPR reduction - Peak to average power ratio - Selective mapping - Side information - Transmitter and receiver - Wireless communications Classification code:921 Mathematics - 902.2 Codes and Standards - 902.1 Engineering Graphics - 922.2 Mathematical Statistics - 723.5 Computer Applications - 717 Optical Communication - 716 Telecommunication; Radar, Radio and Television - 718 Telephone Systems and Related Technologies; Line Communications Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc.
Accession number:20110413622945 Title:Research on centroid position for stairs climbing stability of search and rescue robot Authors:Guo, Yan (1); Song, Aiguo (1); Bao, Jiatong (1); Zhang, Huatao (1); Tang, Hongru (3) Author affiliation:(1) School of Instrument Science and Engineering, Southeast University, Nanjing 210096, China; (2) Beckman Institute, University of Illinois at Urbana-Champaign, Urbana 61801, IL, United States; (3) School of Energy and Power Engineering, Yangzhou University, Yangzhou 225009, China Corresponding author:Guo, Y.(y.guo@illinois.edu) Source title:International Journal of Advanced Robotic Systems Abbreviated source title:Int. J. Adv. Rob. Syst. Volume:7 Issue:4
Issue date:December 2010 Publication year:2010 Pages:24-30 Language:English ISSN:17298806 E-ISSN:17298814 Document type:Journal article (JA) Publisher:Vienna University of Technology, Karlsplatz 13/311, Vienna, A-1040, Austria Abstract:This paper represents the relationship between the stability of stairs climbing and the centroid position of the search and rescue robot. The robot system is considered as a mass point-plane model and the kinematics features are analyzed to find the relationship between centroid position and the maximal pitch angle of stairs the robot could climb up. A computable function about this relationship is given in this paper. During the stairs climbing, there is a maximal stability-keeping angle depends on the centroid position and the pitch angle of stairs, and the numerical formula is developed about the relationship between the maximal stability-keeping angle and the centroid position and pitch angle of stairs. The experiment demonstrates the trustworthy and correction of the method in the paper. Number of references:11 Main heading:Stairs Controlled terms:Flight dynamics - Robots - Stability Uncontrolled terms:Centroid - Computable functions - Pitch angle - Plane model - Robot system - Search and rescue robot Classification code:961 Systems Science - 951 Materials Science - 931.1 Mechanics - 931 Classical Physics; Quantum Theory; Relativity - 801 Chemistry - 731.5 Robotics - 402 Buildings and Towers Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc. Accession number:20110313596458 Title:An analytical method of determining the plane based on dual ellipse equations Authors:Zhu, Xinglong (1); Yang, Xiaojun (1); Zhu, Junjun (1); Zhang, Ying (1); Zhou, Jjping (1) Author affiliation:(1) Mechanical Engineering College, Yangzhou University, Yangzhou, China Corresponding author:Zhu, X.(xlzhu@yzu.edu.cn) Source title:Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010 Abbreviated source title:Proc. - Int. Conf. Artif. Intell. Comput. Intell., AICI Volume:1 Monograph title:Proceedings - International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010 Issue date:2010 Publication year:2010 Pages:468-473 Article number:5655562 Language:English ISBN-13:9780769542256 Document type:Conference article (CA) Conference name:2010 International Conference on Artificial Intelligence and Computational Intelligence, AICI 2010 Conference date:October 23, 2010 - October 24, 2010 Conference location:Sanya, China Conference code:83359 Sponsor:Hainan Province Institute of Computer; Qiongzhou University Publisher:IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States Abstract:Since the spot is elliptical when the cylindrical laser comes to the spatial plane, it proves that the laser spots in the CCD images, which are acquired by binocular stereo vision, are also elliptical. Through image edge extraction in image processing, it can obtain space equations of imaging ellipse edge by least square ellipse fitting, which can be transformed into the standard ellipse equations through translation and rotation. Selecting one point of the right imaging ellipse and the left and right camera coordinate system origins, by which a plane is constructed to make simultaneous solution with left imaging ellipse curves so as to obtain the corresponding matching points. From the selective point of right imaging ellipse and right camera coordinate system origin it can make one spatial straight line and from the corresponding analytical point of left imaging ellipse and left camera coordinate system origin it can make another spatial straight line, from which it will obtain the point of intersection which is the point on the spatial plane. With the change of the selective point of right imaging ellipse in a circle, a number of points on the spatial plane can be acquired to determine the spatial plane. The numerical results show that the method is effective and feasible. © 2010 IEEE. Number of references:11 Main heading:Geometry Controlled terms:Artificial intelligence - Cameras - Image processing - Numerical methods - Stereo vision Uncontrolled terms:A-plane - Analytical method - Binocular stereo vision - CCD images - Co-ordinate system - Ellipse curve - Ellipse equation - Ellipse fitting - Image edge - Image match - Laser spots - Least Square - Matching points - Numerical results - Simultaneous solution - Spatial plane - Straight lines Classification code:921.6 Numerical Methods - 921 Mathematics - 742.2 Photographic Equipment - 741.2 Vision - 741 Light, Optics and Optical Devices - 723.5 Computer Applications - 723.4 Artificial Intelligence DOI:10.1109/AICI.2010.104 Database:Compendex Compilation and indexing terms, Copyright 2011 Elsevier Inc. Accession number:20105213534216 Title:Fast and efficient mining for frequent patterns on biological sequence Authors:Liu, Wei (1); Chen, Ling (2) Author affiliation:(1) School of Information Technology, Nanjing Xiaozhuang University, Nanjing 211171, China; (2) Institute of Information Science and Technology, Yangzhou University, Yangzhou 225009, China; (3) National Key Lab. of Novel Software Tech., Nanjing University, Nanjing 210093, China Yüklə 2,34 Mb. Dostları ilə paylaş:
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