Chenjiaba, China

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.

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Zhou X.,Chongqing Three Gorges University
Journal of Computational and Theoretical Nanoscience | Year: 2017

In order to improve the efficiency in economic data processing, the construction of the data processing system based on the net cluster technology is proposed in this paper. As an important part of Statistic Data Warehouse, the Macro-economy Emulation System, which is based on statistic data warehouse, is now being used on Government Decision Support System. Currently, the system is processing the emulation over the abundant national macro-economy data. It presents the building of Visual Macroeconomic Emulating System on Statistic Data Warehouse (SDWES), including data extraction and check-up, data normalization, and a mechanism to support market analysis and forecast. The experiment shows this paper has a reference value for the application of net cluster technology in the construction process of economic data processing system which can also promote the overall performance substantially. Copyright © 2017 American Scientific Publishers.

Wu Y.,Chongqing Three Gorges University
Science China Technological Sciences | Year: 2017

In this paper, the endoreversible Otto cycle is analyzed with the entropy generation minimization and the entransy theory. The output power and the heat-work conversion efficiency are taken as the optimization objectives, and the relationships of the output power, the heat-work conversion efficiency, the entropy generation rate, the entropy generation numbers, the entransy loss rate, the entransy loss coefficient, the entransy dissipation rate and the entransy variation rate associated with work are discussed. The applicability of the entropy generation minimization and the entransy theory to the analyses is also analyzed. It is found that smaller entropy generation rate does not always lead to larger output power, while smaller entropy generation numbers do not always lead to larger heat-work conversion efficiency, either. In our calculations, both larger entransy loss rate and larger entransy variation rate associated with work correspond to larger output power, while larger entransy loss coefficient results in larger heat-work conversion efficiency. It is also found that the concept of entransy dissipation is not always suitable for the analyses because it was developed for heat transfer. © 2017 Science China Press and Springer-Verlag Berlin Heidelberg

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 [001]. 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.

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.

FORT WORTH, Texas, Feb. 17, 2017 /PRNewswire/ -- AZZ Inc. (NYSE:AZZ), a global provider of galvanizing services, welding solutions, specialty electrical equipment and highly engineered services to the power generation, transmission, distribution and industrial markets, announced today...

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