Proceedings of the 2015 International Conference on Computational Science and Engineering

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107 articles

Solving Nonzero-Sum Nash Differential Game via Variation and Pseudospectral Methods

Guang-Yan Xu, Biao Zhou, Hong-Mei Zhang, Dan Zhao
A numerical methods are presented in this paper to solve the nonzero-sum N-player Nash differential game. Variation methods are used to convert the original game into a regular optimal control problem which consists of one objective function, the state equations of all the players with initial conditions...

Research on Maximum Penetration of Microgrid Based on Artificial Bee Colony Algorithm

Xin-Hua Yang, Zhi-Wei Liu, Li-Zhen Wu
The paper builds a planning model with maximizing the penetration of microgrid as its aim to realize the maximum output of microgrid based on the planning problem of microgrid grid-connection in distribution network. Considering the impact of microgrid grid-connection on distribution network, power flow,...

Application of SVM Algorithm for Particle Swarm Optimization in Apple Image Segmentation

Qirui Huang
The apple image segmentation is the key technology of identification and location in the apple-picking machine vision system. On account of huge errors in the process of discriminating fruits by apple-picking robots at present and the long-time processing, the SVM theory in fingerprint image segmentation...

Study of the Estimation of Sound Source Signal Direction Based on MUSIC Algorithm

Bao-hai Yang, Ze-Liang Liu, Dong Chen
The multiple signal classification, MUSIC algorithm, introduces linear space to direction estimation, which realizes the breakthrough of the sound source direction resolution and lays an important foundation for the method and theory of spacial spectrum estimation. In order to better use the algorithm...

Chaos Particle Swarm Optimization Algorithm for Optimizing the Parameters of Support Vector Machine

Zi-de Tian
SVM parameter selection determines the performance of its learning and generalization ability. As many in the choice of the number of selectable parameters, blindly searching optimal parameters in a number of parameters are required tremendous time cost , and it is difficult to obtain the optimal parameters....

Research on DSM Project Evaluation Model Based on AHP

Li Wang, Xiao-duan Wang, Qing Mi
DSM project implementation includes a plurality of main power plants, power companies, users, etc. It not only need to consider the economic and social benefits, but also to ensure fair market complex market process. It is necessary to scientifically and comprehensively evaluate the effect of DSM project....

Prediction of Energy Consumption and Structure in Hebei Province Based on GM (1,1) Model

Cong Zhao, Lin Jiao
With the rapid development of economy, energy demand is increasing in Hebei. Therefore, prediction of energy consumption and structure in Hebei province has importance of actual meaning significance. In this paper, total energy, coal, oil and natural gas consumption data are selected in Hebei province...

The Application of Improved Harmony Search Algorithm for Solving Shortest Path Problems

Zhi-wang Jiang, Hong-xia Zhang
The shortest path problem is a classical problem in graph theory, it is also one of the classical problems in the field of combinatorial optimization. This paper analyzes the basic harmony search algorithm model, and points out its insufficiency in solving the shortest path problem, then modifies the...

Comparative study on the algorithm for mining association rules based on Data Mining

Jia Guo, Jing-yi Ren, Yu-jing Zhang
This paper first introduces the classical algorithm -- Apriori algorithm of association rules in data mining. Then from several width, depth, partitioning, sampling, incremental updating and the angles of the association rules mining of classification discussion. Then using literature search and comparative...

Research on the Combination Forecast Model based on the BP Neural Network

Shengwang Zong
According to the combined forecasting theory and BP neural network for nonlinear data good approximation properties, is proposed based on Bayesian combination, GM (1, 1) model and regression model of BP neural network combination forecast model. In this paper, the short-term number of railway passenger...

An Improved Adaptive Harmony Search Algorithm

Zhang Li-min
Harmony search (HS) algorithm is a heuristic optimization algorithm which is newly developed in recent years. In this paper, according to the shortcomings of the existing harmony search algorithm, an improved adaptive harmony search algorithm (IAHS) is proposed. In the IAHS algorithm, the adaptive parameters...

Research on Optimization Model of Neural Network Based on Genetic Algorithm

Ping Wang, Bin Yang
BP neural network is a multilayer feed-forward network for training according to the error back-propagation algorithm , its main advantage is the strong non-linear mapping ability , but the training of BP neural network is easy to fall into local minima, and slow convergence speed. This paper makes use...

A New Watermarking Algorithm for Chaotic Sequence Based On Wavelet Transform

Zhi-Feng Yu, Dong Zhong, Chun Chen, Ruolin Ruan
In this paper, we propose a new watermarking algorithm for chaotic sequence based on wavelet transformation from the traditional digital watermarking algorithm in wavelet domain which has been introduced. We have researched the basic steps of watermarking embedding and extraction algorithms for the chaotic...

Research on the Detection of denial service attack based on the correlation of changing points

Xiyong Li
The attack detection method of the coherency based on changing point by of multiple message types variables computed CUSUM accumulated value, and according to the changeable correlation analysis, set a reasonable threshold for many types of flooding attack detection, through the experiment on the performance...

The Research onPID Control Ways to Improve RBF Neural Network

Yuyu Gao
PID control has been a hot topic and it is a control technology which is widely used in industrial control process. In this paper we researchon PID controller structure and algorithm which based on RBF neural network. It is difficult to determine the clustering radius for the traditional RBF neural network...

The Study of Simulation Metamodel Based on Bayesian Network and Its Application in Equipment Battlefield Damage Simulation

Hai-Kuan Wang, Quan Shi, Guang-Yan Wang, Hong-Yu Ge
The construction method of simulation metamodel based on Bayesian network is studied for the equipment battlefield damage simulation system. The mapping relation between input parameters and output parameters of simulation model is described from the position of condition probability, the feasibility...

Application research of improved K-means algorithm in intrusion detection

Xiaoguo Liu, Jing Tian
An improved K-means clustering algorithm is put forward on basis of the split-merge method for the purpose of remedying defects both in determination of value in K and in selection of initial cluster centre of traditional K-means clustering. At first , the concept of independence degree of date was incorporated...

Stress effects of low-frequency stimulation on the c-Fos and endothelin-1 changes in tree shrew

Farong Yu, Xiuzhen Lian, Mingren Xie, Wen Yu, Lirong Guo, Zhang Zhennan, Li Denglou, Zhang Shishuang
The chronic low-frequency stimulation could stimulate the expression of c-fos gene in the prefrontal cortex and enhance the endothelin-1 (ET-1) levels of liver and spleen in tree shrew (Tupaia). Our results suggested that application of chronic low-frequency stimulations yielded significant c-Fos protein...

Construction of Regional Logistics Information Platform Based on Cloud Computing

Gang Sun, Xiu-You Wang, Hao Wang, Jia Zhao
Regional logistics information platform based on cloud computing is the development direction of regional logistics information platform in the future. In this paper, the target, design principles, network topology, logical structure and architecture of regional logistics information platform based on...

Decision-Making in Ship Collision Avoidance based on Cat-Swarm Biological Algorithm

Zhaokun Wei, Kang Zhao, Ming Wei
Due to complicated maritime traffic condition, for the sake of offering collision alert and efficient collision avoidance action to mitigate navigators’ working burden and fatigue and ensure navigation safety, this paper sets the fuel consumption as the objective function and combine International Regulations...

Design of Optical Fiber SPR Sensing System for Water Quality Monitoring

Xuehua Jiang, Qingmin Meng
Water quality monitoring was a basic work for water quality resource management, there were some problems in the current detection means for oily waste water, such as low measurement accuracy, off line detection, an so on. Based on the principle of surface plasmon resonance (SPR), a optical fiber sensor...

Nonlinear Consensus Control of UAV Elastic Formation

Guang-Yan Xu, Dan Zhao, Hong-Mei Zhang, Biao Zhou
The unmanned aerial vehicle (UAV) formation flight is studied by consensus strategy. Firstly, the UAV formation model with nonlinear elastic characteristics is established and proved to be Uniformly Ultimately Bounded (UUB). Secondly, a consensus strategy controller is designed combining with the proposed...

Harris Corner Detection Algorithm at Sub-pixel Level and Its Application

Yuanfeng Han, Peijiang Chen, Tian Meng
The corner is one of the most important features of image and the corner detection plays an important role in digital image processing technology. The performance of Harris corner detection algorithm is stable and it is widely applied, but the corner location is pixel level which affects the subsequent...

Reinforcement Learning NN-based Controller Design for Aero-engine

Hong-Mei Zhang, Yu-Ling Liang, Guang-Yan Xu
A reinforcement learning NN-based controller for aero-engine is presented, which is suitable for tracking problems at a steady-state operating point. The proposed controller design has two entities:an action NN that is designed to produce optimal signal for aero-engine and a critic NN that approximates...

Application of Improved AHP Method in Insurance Enterprise Promotion

Ru Duan, Ning Liu
Core staff of insurance enterprise has a special status in the insurance enterprise, and it’s significant for insurance enterprises’ long-term development to evaluate and select them. In this paper, the improved analytic hierarchy process evaluation model is used to build the work capacity evaluation...

Application of Markov Model in Human Resource Supply Forecasting in Enterprises

Wan-yin Du, Shou Li
A complete human resources strategic planning can become the core competitiveness of enterprises, which is an important means to achieve competitive advantage. This paper focused on improved gray Markov model in human resource internal supply forecasting, so that enterprises can reasonably predict their...

A New Logistic Management Quality Evaluation Method based on Support Vector Machine

Si-yun Xu, Zheng Fu
In order to achieve more effective logistics management, make full use of data resources, and build in line with the development of a healthy enterprise logistics management mode. A new analysis model for evaluating the quality level of logistics management based on support vector machine theory is put...

Research on the Product Design Based on the Environmental Analysis Model and its Application

Ning Lu
The heterogeneity of customers from the market starting, taking into account the transfer of buying customers in each market segment, Constraints in the customer utility (individual rationality constraint and incentive compatibility constraint) products of enterprises under the various case studies the...

Evaluation of Competitiveness of Power Enterprises Based on the Entropy Method

Yan Lin, Xiao-juan Tang
With the gradual reform of power system and the strong competition of power enterprises, it is extremely important to analyze the enterprise competitiveness accurately. Thus a tool is urgently needed to evaluate the competitiveness of power enterprises effectively. Combined with entropy method and an...

Design and development of laser detection device for bottled biological products

Lijian Zhang, Mei Lin, Tingting Wang
Point source of light across the bottle detection technology is a rapid detection technology of modern biotechnology, pharmaceutical, chemical, food and other products, fast test bottle. The testing instrument comprises a sample bottles and a conversion device, light source system and polarized light...

Research on Company Operation Performance Evaluation Based on BP Neural Network

Lili Zhang, Weiping Zhong
For operation performance evaluation of company mainly uses linear or nonlinear evaluation model. The nonlinear model can better simulate the economic phenomena, and its evaluation results are more objective, accurate and have more practical reference value. From the assessment of the input-output efficiency...

Application of Improved Entropy TOPSIS to Competitive Performance Evaluation of Power Companies

Xiaoguang Li, Zhanjun Gao
The improved entropy TOPSIS method is applied in evaluating the competitive performance of power listed companies. The proposed method can fully consider the amount and quality of information, which also can overcome the influence of subjective factors in determining the evaluation index weight of the...

Research on Assessment of Electric Power Company’s Credit Capacity Based on AHP and Entropy Weight

Lin Jiao, Cong Zhao, Qiaosha Li
Evaluating the credit capacity of electric power enterprises not only need to reflect the value of the index information conveyed, but also consider the analyst's subjective judgment. This paper combined the weights which respectively reflect the information of these two parts. Distance integrated evaluation...

Application of TOPSIS to Financial Comprehensive Assessment of Power Listed Companies

Jian-ying Lou, Xiang Gao, Qian Cui
Firstly, according to the characteristics of the power listed companies, a comprehensive evaluation system of its financial capacity is established. Then, the technique for order preference by similarity to ideal solution which can make the multi-objective decision is applied in evaluating power listed...

The Prediction Research of Safety Stock Based on the Combinatorial Forecasting Model

Weiping Zhong, Lili Zhang
The inventory is related to enterprise’s production, sales and cash flow. Therefore, enterprises pay more and more attention to safety stock control. In this paper, on the basis of support vector machine (SVM) model and RBF neural network model, genetic algorithm (GA) combined forecasting model is established...

Design of fully automatic antibiotics evaluation machine by cylinder-plate method/turbidity method

Lijian Zhang, Jinlan Zhang, Tingting Wang
the utility model relates to microorganisms antibiotic titer test environment, automatic sampling, in the process of cultivation and automatic online detection field, especially relates to antibiotics tube plate method and turbidity method fully automatic meter, for experiments in purification, constant...

Research on Credit Risk Evaluation for Small and Medium-sized Enterprises in Supply Chain Based on BP Neural Network

Xiaoping Zhang, Chen Chen
Abstract More attention to supply chain finance as a new form of financing channel is paid with the increasing highlight of the financing difficulty of small and medium-sized enterprises (SMEs). It is crucial for scientific and accurate risk assessment to control the control of the credit risk of supply...

Application of Ant Colony Neural Network to Credit Evaluation of Small and Middle Enterprises

HongJing Liu
In order to improve capacity of BP neural networks and make short term credit evaluation of small and middle enterprises forecasting more accurate and fast, presents a credit model-based the ACO neural network. Based on the analysis of the importance of credit and according to the demands of credit evaluation...

An Exploration of the Application of Data integration in Enterprise Informationization Construction

Deming Zeng
At present, enterprises have been developing more and more quickly in China. In order to strengthen the systems of enterprise management, manufacturing execution, equipment and so on in each link of management, many enterprises have started to use data integration to construct an Informationization management...

Development and application of the whole automatic determination machine for antibiotic tube dish method / turbidity method

Lijian Zhang, Haina Cui, Tingting Wang
product is developed on the basis of the technical cooperation projects of the shandong xinyuan Thai letter electronic technology co., LTD.,using the luoyang LanFei PLC and touch screen, and spectrophotometer. It is easily to realize Add sample, full automatic measurement and report. A dose, dose and...

Study on the Sport Training Supplementary System Based on DSS

Qiang Li
According to the need or modern sport training, we developed a framework of sport training supplementary system based on DDS techniques and relevant ideas of software engineering, and analyzed the component and functions. We aim at satisfying the need of sport training and the daily processing of data...

Prediction of Basketball Competition Scores Based on BP Neural Network Algorithm

Yong-Sheng Wang, Quan-Ying Li
In the thesis, we use the time sequence of basketball competition as the statistical data to predict the technical statistical indicators for the basketball team based on BP neural network algorithm. Our study aims at discussing the availability and applications of the BP neural network in the score...

"Door to door "Rail Freight Transportation Process Optimization

Kun Fang, Xiaoning Zhu
During the railway freight reform, through making principle by the customer oriented and setting the goal of “service and cost”, rail tries to provide the best service for the customers. So in the transportation process, rail has the responsibility in the entire logistics of railway transportation. Based...

Optimizing Sleeves Pattern for Vietnamese Airlines Stewardess Uniform--Ao Dai

Rui Zhang, Ngo Thi Viet Ha, Jianping Wang
Ao Dai is Vietnamese national costume and usually used as airlines stewardess uniform. As uniform, Ao Dai is required to be fitted and beautiful. However, the sleeves of Ao Dai limit stewardesses arms motion when they raise hands over head or move arms frequently. The sleeves of Ao Dai are one-piece...

Research and development of automatic sampling instrument control system

Lijian Zhang, Haina Cui, Tingting Wang
During the test of medical and chemical process, operators need to precise and repeated sampling operation of various liquid frequently. This paper designs a kind of automatic sampling control device based on PLC and the stepper motor's, and introduces the hardware and software structure of the system....

Design of Four-rotary-wing Aircraft Targeting System

Weikang Li, Xiangyun Tang, Jieran Liu, Zheng Yu
In order to achieve the design of visual art quad -rotor aircraft targeting system, we have, by combining design principles of image processing system and Bluetooth communication, rendered the design method of four-rotary-wing Aircraft Targeting System on the basis of the latest technology of programmable...

Performance Evaluation of the Value Basis of Enterprise

Ming Li
Economic value refers to the concept of value in economics. The concepts of value in economics, such as income, cost and profit are different from those of accounting.

Conceit for system of Self-rated health measurement and establishment exercise prescription based on Artifical Neural Network and Expert System

Qiang Li
People pursue higher quality life than previously along with development of society. Quality of life decided level of health. How to estimate oneself health and exercise is one of the heatedly discussed topics. According to the theory of Artifical Neural Network and Expert System, A design conceit for...

Application Study on Assistive Movement Training Using BP Neural Network

Yong-Sheng Wang, Quan-Ying Li
Here, the relevant special factors, training plans and the ultimate scores before the training of an outstanding athlete are studied as an example using artificial neural networks (ANNs). ANN models are developed to establish a supplementary system for training. This system is scientific and applicable,...

Research of Financial Early-warning for Listed Companies Based on SVM

Hailun Huang, Wuxue Jiang, Shi Wang
In this paper, the support vector machine (SVM) is applied for the early warning of financial crisis of listed companies, financial early-warning indexes and quantitative methods are analyzed, the early-warning ability of SVM model is verified by combining with the financial data of listed companies,...