Chongqing Industry Polytechnic College

Chongqing, China

Chongqing Industry Polytechnic College

Chongqing, China
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Xie W.,Chongqing Industry Polytechnic College
Journal of Computational and Theoretical Nanoscience | Year: 2016

In order to improve the quickness and accuracy in big data processing, a processing model of multi objective genetic algorithm based on static Bayesian game in cloud computing is proposed in this paper. Based on analyzing the static Bayesian game model, we proposed a novel multi-objective genetic algorithm optimization. After different difficult tests problems, the proposed SBG-MOGA was able to maintain a better distribution than NSGA-II, and is approximate to NSGA-II in convergence in the obtained no dominated front. Copyright © 2016 American Scientific Publishers All rights reserved.


Li K.,Chongqing Industry Polytechnic College
Journal of Computational and Theoretical Nanoscience | Year: 2016

In order to improve the performance of dynamic resource distributing, a estimation of distributed algorithm is researched in this paper. NB-COIN, which is use incremental negative learning with node histogram based, could find the set of most profitable orders in overtime period. While the others algorithm suggested that the working in overtime period is unnecessary, their sets of most profitable orders are only found in normal working time period. The modified model with the proposed algorithm is remarkable in both solution quality and solving efficiency. Copyright © 2016 American Scientific Publishers All rights reserved.


Liu S.,Chongqing Industry Polytechnic College
Journal of Computational and Theoretical Nanoscience | Year: 2016

The purpose of this paper is to study on the solution of differential equations based on the new chaotic dynamical system. The new three-dimensional chaotic system is proposed, which relies on a nonlinear exponential term and a nonlinear quadratic cross term necessary for folding trajectories. Basic dynamical characteristics of the new system are analyzed. Compared with the Chen system, the equilibrium points of the new system does not contain the origin, and has a greater positive Lyapunov index can produce more complex shaped chaotic attractor. Copyright © 2016 American Scientific Publishers All rights reserved.


Li K.,Chongqing Industry Polytechnic College
Journal of Computational and Theoretical Nanoscience | Year: 2016

Aiming at solving the problem of mass scheduling in the single machine task planning, a time dependent scheduling method is studied in this paper. We study some inverse problems of scheduling. Firstly, we study two inverse scheduling problems on identical parallel machines: the inverse scheduling problem of the total weighted completion time problem with unit processing time on identical parallel machines; the inverse scheduling problem of the total completion time objective on identical parallel machines. We have presented the necessary and sufficient conditions for optimality of the maximum tardiness problem on single machines; also have given the mathematical formulations of the inverse scheduling and method of solving this inverse scheduling problem. For some special cases of the inverse scheduling problems, we have obtained the formulations for the optimal solutions. The experiment result shows it can improve the performance substantially. Copyright © 2016 American Scientific Publishers All rights reserved.


Long J.,Chongqing Industry Polytechnic College
Agro Food Industry Hi-Tech | Year: 2017

With the development of the times, China's economy has developed to a certain extent, but the spiritual civilization and material civilization show an uncoordinated development phenomenon. At present, the level of spiritual civilization in our country is still relatively low. The development and the propelling force of the classical literature on humanistic spirit education were analyzed. The superiority of classical literature in the education of humanistic spirit was analyzed. The result is to provide some theoretical support and data support for the cultivation and development of humanistic spirit in our country.


With the development of modern information technology, computer network has been adopted in every field of people's lives. The interactive teaching through the Internet has received growing attention from academic researchers in China. Interactive teaching helps to overcome the defects of the traditional classroom teaching system. The organization of cooperative learning is advantageous to the quality of classroom teaching and the achievements of students in the class under complex background. Under this background, the development status and trends of interactive teaching at home and abroad, as well as the interaction between teachers and students in the network environment, were analyzed. Questionnaire and interviews were used, and a number of vocational college students and several teachers were selected as survey objects. Teachers were interviewed to understand the classroom learning situation. The results of the survey were analyzed to draw conclusion so as to facilitate students in improving their learning efficiency and create targeted learning content This study contributes to of the research on the interactive teaching mode of ideological and political works in higher vocational colleges under the computer network environment.


Chen J.,Chongqing Industry Polytechnic College
Agro Food Industry Hi-Tech | Year: 2017

Hotel decision support system is less used in hospitality industry. The value of the system in the hospitality industry is not fully exploited. Based on the study of the lack of decision management in the hospitality industry, this paper puts forward the basic framework of rational decision support system and the number order model suitable for decision support system of hospitality industry. The use of a new computer network and hotel business decision support management system can not only improve the work efficiency of the hotel's management, but can also prompt staff and management system to communicate quickly, so as to achieve a smooth workflow with convergence. In addition they can help the hotel manage business and make decisions effectively, which will maximize the value of the system and economic benefits.


Mao P.,Chongqing Industry Polytechnic College
Agro Food Industry Hi-Tech | Year: 2017

In the face of many problems, such as the upgrading of the national industrial structure, the economic transition and the new international financial crisis, in this paper, the legal protection of small and medium enterprises in China was put forward. The concept of small and medium-sized enterprises and the division of standards were described in detail. The problems of market, finance and policy were investigated and studied in the small and medium-sized enterprises in A city, the research results show that the current small and medium enterprises were mainly faced with financing, credit guarantee and policy imperfections and other issues. This paper puts forward some suggestions for the main problems, which provide the perfect legal protection for the small and medium-sized enterprises.


Shen Y.,Chongqing Industry Polytechnic College
Energy Conversion and Management | Year: 2010

This paper presents a novel approach using adaptive artificial neural network based model and neuro-controller for online cell State of Charge (SOC) determination. Taking cell SOC as model's predictive control input unit, radial basis function neural network, which can adjust its structure to prediction error with recursive least square algorithm, is used to simulate battery system. Besides that, neuro-controller based on Back-Propagation Neural Network (BPNN) and modified PID controller is used to decide the control input of battery system, i.e., cell SOC. Finally this algorithm is applied for the SOC determination of lead-acid batteries, and results of lab tests on physical cells, compared with model prediction, are presented. Results show that the ANN based battery system model adaptively simulates battery system with great accuracy, and the predicted SOC simultaneously converges to the real value quickly within the error of ±1 as time goes on. © 2009 Elsevier Ltd. All rights reserved.


Shen Y.,Chongqing Industry Polytechnic College
Energy | Year: 2014

Accurate prediction of cell SOC (state of charge) is important for the safety and functional capabilities of the battery energy storage application system. This paper presents a hybrid UPF (unscented particle filter) based SOC determination combined model for batteries. To simulate the entire dynamic electrical characteristics of batteries, a novel combined state space model, which takes current as a control input and let SOC and two constructed parameters as state variables, is advanced to represent cell behavior. Besides that, an improved UPF method is used to evaluate cell SOC. Taking lead-acid batteries for example, we apply the established model for test. Results show that the evolved combined state space cell model simulates battery dynamics robustly with high accuracy and the prediction value based on the improved UPF method converges to the real SOC very quickly within the error of±2%. © 2014 Elsevier Ltd.

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