Chongqing Three Gorges University , established in 1956, is a national comprehensive university in China.CTGU is located in Wanzhou, the second largest city in Chongqing Municipality at the heart of the Three Gorges Dam Areas by the Changjiang River. It presently has a total enrolment of 13,000 full-time domestic students and international students; and a staff of about 1,000, including about 300 professors and associate professors, about 400 Master's Degree or Doctor's Degree winners, and more than 60 external part-time Professors and international teachers. CTGU has 14 teaching faculties. It has more than 70 specialties for 3-year students and 4-year students, which cover eight disciplinary domains. It has prominent advantages in the teaching and research of the specialties of marketing, international trade, environmental protection, folk art, languages and literature, physical education, tourism, biology, chemical engineering, ethnonymics, and occupies the leading position in China in some of the specialties and subjects .CTGU has established wide cooperation and exchange relationship with many universities both at home and abroad, and has developed teachers/students exchange and academic exchange. In 2007, CTGU established collaboratively a Confucius Institute at Community College of Denver in Colorado, USA. Wikipedia.
Wang P.,Chongqing Three Gorges University
Applied Computational Electromagnetics Society Journal | Year: 2013
In this letter, a compact planar ultrawideband (UWB) monopole antenna with excellent band-rejection characteristics is proposed for UWB communications applications. To achieve band-rejection filter property at the WiFi / WiMAX bands, two different types of slots: sloped open-ended Z-shaped slot and split rectangle ring slot on radiation patch, are introduced to form two stop-bands. The measured and simulated results show that the band-notched characteristics not only bring good rejection frequency, but also improved the skirt area in the band-notched frequency, and the proposed antenna has nearly omni-directional radiation pattern, moderate gain, and low cross-polarization level, which is suitable for UWB communication applications. ©2013, The Applied Computational Electromagnetics Society.
Luo Y.,Chongqing Three Gorges University
Applied Mechanics and Materials | Year: 2013
As Optical fiber communication technology is developing towards high-speed and highcapacity, continual evolution to the all-optical network. In the lead of the mushroom development of Optical communication, Fiber Bragg Grating (FBG) is become one of the most mushroom optical passive components. This article will discuss about application of Fiber Bragg grating (FBG) sensor in dam safety monitoring, to improve the management and maintenance of dam. © (2013) Trans Tech Publications, Switzerland.
Lei Y.,Chongqing Three Gorges University
Acta Crystallographica Section E: Structure Reports Online | Year: 2011
The title compound, C 14H 9Cl 3N 2O, adopts an E configuration about the methylidene unit and the two aromatic rings form a dihedral angle of 6.6 (2)°. In the crystal, molecules are linked via N - H⋯O hydrogen bonds, forming C(4) chains propagating in . C - H⋯O interactions reinforce the chains.
Chen Y.,South China Normal University |
Lu Z.,Chongqing Three Gorges University
Finite Elements in Analysis and Design | Year: 2010
In this paper we study the fully discrete mixed finite element methods for quadratic convex optimal control problem governed by parabolic equations. The space discretization of the state variable is done using usual mixed finite elements, whereas the time discretization is based on difference methods. The state and the co-state are approximated by the lowest order RaviartThomas mixed finite element spaces and the control is approximated by piecewise constant functions. By applying some error estimates techniques of standard mixed finite element methods, we derive a priori error estimates both for the coupled state and the control approximation. Finally, we present some numerical examples which confirm our theoretical results. © 2010 Elsevier B.V. All rights reserved.
Wu Y.-Q.,Chongqing Three Gorges University
Chinese Physics B | Year: 2015
In this paper, an endoreversible Carnot heat engine with irreversible heat transfer processes is analyzed based on generalized heat transfer law. The applicability of the entropy generation minimization, exergy analyses method, and entransy theory to the analyses is discussed. Three numerical cases are presented. It is shown that the results obtained from the entransy theory are different from those from the entropy generation minimization, which is equivalent to the exergy analyses method. For the first case in which the application preconditions of the entropy generation minimization and entransy loss maximization are satisfied, both smaller entropy generation rate and larger entransy loss rate lead to larger output power. For the second and third cases in which the preconditions are not satisfied, the entropy generation minimization does not lead to the maximum output power, while larger entransy loss rate still leads to larger output power in the third case. For the discussed cases, the concept of entransy dissipation is not applicable for the analyses of output power. The problems in the negative comments on the entransy theory are pointed out and discussed. The related researchers are advised to focus on some new specific application cases to show if the entransy theory is the same as some other theories. © 2015 Chinese Physical Society and IOP Publishing Ltd.
Fang G.,Chongqing Three Gorges University
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2010
Aiming to these present frequent neighboring class set mining algorithms existing more repeated computing and redundancy neighboring class set, this paper proposes an algorithm of alternately mining frequent neighboring class set, which is suitable for mining frequent neighboring class set of objects in large spatial data. The algorithm uses the regression method to create database of neighboring class set, and uses the alternative method to generate candidate frequent neighboring class set, namely, it uses increasing sequence to generate candidate in the one hand, it also uses decreasing sequence to generate candidate on the other hand, it only need scan once database to extract frequent neighboring class set. The algorithm improves mining efficiency by the alternative method, since not only using numerical variable to generate candidate is simple, but also using logic operation to compute support is very simple. The result of experiment indicates that the algorithm is faster and more efficient than presented algorithms when mining frequent neighboring class set in large spatial data. © 2010 Springer-Verlag.
Chen X.,Chongqing Three Gorges University
Journal of Intelligent Information Systems | Year: 2013
This paper presents two novel graph-clustering algorithms, Clustering based on a Near Neighbor Graph (CNNG) and Clustering based on a Grid Cell Graph (CGCG). CNNG algorithm inspired by the idea of near neighbors is an improved graph-clustering method based on Minimum Spanning Tree (MST). In order to analyze massive data sets more efficiently, CGCG algorithm, which is a kind of graph-clustering method based on MST on the level of grid cells, is presented. To clearly describe the two algorithms, we give some important concepts, such as near neighbor point set, near neighbor undirected graph, grid cell, and so on. To effectively implement the two algorithms, we use some efficient partitioning and index methods, such as multidimensional grid partition method, multidimensional index tree, and so on. From simulation experiments of some artificial data sets and seven real data sets, we observe that the time cost of CNNG algorithm can be decreased by using some improving techniques and approximate methods while attaining an acceptable clustering quality, and CGCG algorithm can approximately analyze some dense data sets with linear time cost. Moreover, comparing some classical clustering algorithms, CNNG algorithm can often get better clustering quality or quicker clustering speed. © 2013 Springer Science+Business Media New York.
Hu T.,Chongqing Three Gorges University
Crop Breeding and Applied Biotechnology | Year: 2014
Plant glutathione S-transferases (GSTs) have been a focus of attention due to their role in herbicide detoxification. OsGSTL2 is a glutathione S-transferase, lambda class gene from rice (Oryza sativa L.). Transgenic rice plants over-expressing OsGSTL2 were generated from rice calli by the use of an Agrobacterium transformation system, and were screened by a combination of hygromycin resistance, PCR and Southern blot analysis. In the vegetative tissues of transgenic rice plants, the over-expression of OsGSTL2 not only increased levels of OsGSTL2 transcripts, but also GST and GPX expression, while reduced superoxide. Transgenic rice plants also showed higher tolerance to glyphosate and chlorsulfuron, which often contaminate agricultural fields. The findings demonstrate the detoxification role of OsGSTL2 in the growth and development of rice plants. It should be possible to apply the present results to crops for developing herbicide tolerance and for limiting herbicide contamination in the food chain.
Liu J.,Chongqing Three Gorges University
Computers and Operations Research | Year: 2013
Conjugate gradient methods are a class of important methods for unconstrained optimization problems, especially when the dimension is large. In this paper, we study a class of modified conjugate gradient methods based on the famous LS conjugate gradient method, which produces a sufficient descent direction at each iteration and converges globally provided that the line search satisfies the strong Wolfe condition. At the same time, a new specific nonlinear conjugate gradient method is constructed. Our numerical results show that the new method is very efficient for the given test problems by comparing with the famous LS method, PRP method and CG-DESCENT method. © 2013 Elsevier Ltd.
News Article | February 17, 2017
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