bluuebunny/crossref_metadata_2025 huggingface dataset:
The Research on Dynamics Evolution Patterns of Online Public Opinion
Authors: Du Jin , Du Yan Hui , Chen Yu
Published: September 2013

Dynamics evolution patterns play an important role on Public opinion nowadays. In this paper, developing rules and trends are discussed by means of Petri method of online public opinion. The public opinion online was analyzed as a stream from which the conception of public opinion stream was proposed and its control pattern was developed as well. Based on these, correlation degree variables between social network cluster nodes were dynamically introduced, and general rules of public opinion streams between associated network cluster organizations were studied. The Public-opinion-stream correlation control pattern which can regulate the relationship of social network cluster nodes and verify the empirical research of sociology, journalism and psychology. At last, artificial intelligence and decision support can be supplied to relevant industries by instructing system design and management system.
D-S Algorithm Based on SCO for Matching Fragments
Authors: Sun Jia Ze , Geng Guo Hua , Pan Xiao Ying
Published: September 2013

The Dempster-Shafer (D-S) evidence theory is an effective method for uncertain information fusion. Because multiple evidences from different sources of different importance or reliability in the reassembling fractured 3D objects are not equally important when they are combined. This paper presents a social cognitive optimization algorithm (SCO) to generate optimal evidence weight values based on historical training data. In the algorithm, a constrained nonlinear optimized model is established, which is solved by SCO. Compared with the two methods, optimization weight D-S proves more effective than the traditional D-S.
A Hybrid PSO Algorithm for Integrated Surplus Products Matching Problem in Iron and Steel Enterprises
Authors: Shi Can Tao , Li Ting , Liu Yu Zhuo
Published: September 2013

With consideration of three important product types, cold trip, hot strip, and slab, this paper concentrates on the integrated surplus products matching problem (ISPMP) in iron and steel enterprises. A mathematical model is built to maximize satisfied demand and the amount of fulfilled orders while minimizing total involved cost. A PSO based algorithm is proposed into which a neighborhood search procedure is embedded to speed up the convergence. The computational tests show that the hybrid algorithm has good performance.
Study on Transformation Mechanism of Driver's Propensity under Two-Lane Conditions
Authors: Wang Xiao Yuan , Zhang Jing Lei , Ban Xue Gang , Gao Song
Published: September 2013

Drivers affective states will transfer along with environmental changes during driving. The changes can affect directly drivers manipulation. The affective state is represented mainly as drivers propensity. It plays a significant role for researching the active driving and auto-driving systems to reveal the transformation mechanism of drivers propensity exactly in complex environment. Data of drivers propensity can be collected and analyzed through driving experiments in different two-lane environments from the angle of environmental change, especially evolution of vehicle group. It reveals transformation mechanism of drivers propensity under different environment conditions. Verification results show that the predictive outcomes which are gotten by transformation rule are consistent with that of real-time recognition. It also shows that the transformation mechanism revealed in this paper is scientific and reasonable.
An Ant Colony Optimization Algorithm for Selection Problem
Authors: Suo Yang , Zhu Li Na , Zang Qi Gui , Wang Quan
Published: September 2013

To tackle the QoS-based service selection problem, an efficient ant colony service selection algorithm called CASS is proposed in this paper. In this algorithm, a skyline query process is used to filtering the candidates related each service class and a clustering based shrinking process is used to guide the ant search directions. We evaluate our approach experimentally using standard real datasets and synthetically generated datasets, and compared with the recently proposed related service selection algorithms. It reveals very encouraging results in terms of the quality of solution, and the processing time required.
Approximation Performance of BP Neural Networks Improved by Heuristic Approach
Authors: Ding Shuo , Chang Xiao Heng , Wu Qing Hui
Published: September 2013

Among all improved BP neural network algorithms, the one improved by heuristic approach is studied in this paper. Firstly, three types of improved heuristic algorithms of BP neural network are programmed in the environment of MATLAB7.0. Then network training and simulation test are conducted taking a nonlinear function as an example. The approximation performances of BP neural networks improved by different numerical optimization approaches are compared to aid the selection of proper numerical optimization approach.
Structured Document Model in Digital Community
Authors: Xiong Jin Bo , Liu Xi Meng , Jin Biao
Published: September 2013

Structured document plays a vital role in information carrier for realizing information exchange and dissemination in digital community. However, there is no prior work on discussing structured document model which appropriates for describing special characteristics of the structured document in digital community. In this paper, we present an appropriate structured document model which is elaborately described by formal method and based on the analysis of the special live characteristics of the structured document in digital community. And then, we design some suitable constraints in order to construct the well-formed structured document model.
A Map Complexity Measure Based on Contact Surface
Authors: Li Yan , Zhao Wen Ju , Zhou Zhen Hua
Published: September 2013

This paper defined the full connect map and contact surface, and proposed a new map complexity measure, and compared with measurement methods based on Hamming distance and relative Hamming distance. We further research on the relationship between the complexity measure and the map connectivity. The complexity measures based on Hamming distance and contact surface are applicable to full connectivity map, and the new measurement can reflects the difficulty of the pathfinding algorithm more accurately, especially in a higher complexity.
A Determination Algorithm with Inclusion Relationship between Two Semantic Link Networks
Authors: Jia Rui Xiang , Qiao Xin Xiao , Zhang Xin Yi
Published: September 2013

Semantic link is a hyperlink whick contains rich semantics. Semantic Link Network (SLN) consists of semantic links. Compared with hyperlinks, semantic link contains richer semantic information. There are many kinds of relationships between two SLNs, which contain equality relationship, inclusion relationship and empty set relationship. This paper mainly introduces an algorithm that can determine inclusion relationship between two SLNs. Semantic link newwork may consist of atom nodes or complex node. The determination algorithm proposed in this paper applies only to atomic node.
A MSTP DNA Computing Model Based on Genetic Algorithm and Incompletion-Molecule Commixed Encoding Strategy
Authors: Pei Zhi Li , Wang Qing Hu , Lian Jie , Wu Bin
Published: September 2013

Artificial intelligence based on the genetic algorithm and DNA computing based on the biological intelligence is two kinds of important intelligent computing model, Graph theory and combinatorial optimization problem is a hotspot of research on intelligent computing. This paper designs a coding space optimized by using genetic algorithm, and by using DNA computing to solve Minimum Spanning Tree Problem calculation model. Because MSTP (Minimum Spanning Tree Problem) refer to Weight, IMCE (Incompletion-Molecule Commixed Encoding) is used in vertex, edges and weights encoding. The calculation process of the MSTP solution has been detailed described detailed.
Multi-Subexpression Programming
Authors: Chen Long Bin , He Pei
Published: September 2013

Gene Expression Programming is a new and adaptive brand evolution algorithm which is developed on the basis of genetic algorithm. In recent years, Multi-Expression Programming which is proposed in the genetic programming is a linear structure coding scheme,its main feature is a chromosome contains multiple expressions. The idea of MEP is introduced into the GEP in this paper, so a single GEP gene contains multiple solutions to solve the problem.The new algorithm analyzes each gene in the GEP to extract relational subexpressions, then fitness evaluate certain subexpressions to choose the best fitness as individuals fitness, and carry on related genetic manipulation. Finally, the improved algorithm experiment with GEP and MEP, compare their mining the same functions ability,record average fitness value and success rate. The experiment results show that the improved algorithm has better evolutionary efficiency.
The Review of the Single Machine Scheduling Problem and its Solving Methods
Authors: Quan Ou Yang , Xu Hong Yun
Published: September 2013

The research on the theory and method of single machine scheduling is a difficult subject, but it is very important for the companies to improve the production efficiency and effectiveness. The study on single machine scheduling problem has the history of 50 years, but there is still a gap between the classical scheduling theories and practical scheduling problems. According to this characteristic, the problems in practical scheduling area and the various factors need to be concerned are mentioned, and the main methods to solving the single machine scheduling problem and their applications are presented in details. Finally, the directions and suggestions of future work in single machine scheduling problem are summarized.
Application of Projection Pursuit Regression in Equipment Indemnificatory Valuation and Forecast
Authors: Zhu Lian Jun , Li Hong Yan , Dong Yu Cai , Jiang Tian Yuan , Fan Ge Hua
Published: September 2013

The Theory of Projection Pursuit Regression is applied in the equipment indemnificatory valuation and forecast to establish the projection pursuit regression model. After fitting the training samples, this model strikes a good balance between the valuation value and its relevant influential factors, demonstrating a good fitting effect with the average relative error of only 2.1522% . After predicting the test samples, it shows a good forecast effect with the relative error of only-0.4069%, thus providing basis for equipment indemnificatory valuation and forecast.
Cluster-Composition Graphs: t/t-Diagnosabilty and its Application
Authors: Chen Jheng Cheng , Tsai Chang Hsiung
Published: September 2013

In this paper, we propose a unified approach for computing the t/t-diagnosability of numerous multiprocessor systems under the PMC model, including hypercube-like graphs, star graphs, and pancake graphs. Our approach first defines a superclass of graphs, called j-order cluster-composition graphs, to cover them.We then show that the 1-order simple cluster-composition graph is t/t-diagnosable if it contains no connected component with size less than 2t+1, where t is the minimal number of neighbors of any pair of vertices of the graph. Based on this result, the t/t-diagnosability of the above multiprocessor systems can be computed efficiently.
Using Petri Net to Plan Recognition
Authors: Chen Yu Han , Cheng Ming
Published: September 2013

Plan recognition is an important problem to address in order to enhance the capabilities of battlefield surveillance systems. It is concerned with finding a priori defined plan that possibly are instantiated in the present flow of battle events. Plan recognition requires that many sub problems are solved. For instance, we need to establish which situations are interesting, how to represent these situations, and inferable events and states that can be used for representing them. In this paper we discuss current research efforts and goals concerning template-based plan recognition. We provide a categorization of approaches for plan recognition together with a formalization of the template-based plan recognition problem. We discuss this formalization in the light of an air-ground striking scenario. Finally, we conclude that plan recognition is an important problem to look into for enhancing the overall situation awareness of decision makers.
The Preliminary Discussion about Key Problems of Cross-Organizational Business Process Collaboration
Authors: Pan Hai Lan , Wu Cui Hong , Lin Shi Wei
Published: September 2013

With the rapid development of E-commerce on a global scale and the cooperation between enterprises has become increasingly frequent, it has a great impact on the overall efficiency and flexibility between the organizations that strengthen combined depth and solution the problem of the mutual connection between cross-organizational business processes. This article firstly expounds the formation and its important role of cross-organizational business process, and then proposed the model for cross-organizational business process collaboration. The model proposed is modeled from two aspects, namely, management model and business model. In the end, four key problems of cross-organizational business process collaboration are further discussed.
A Study of Using Smart Digital Content Technology in Retail Stores
Authors: Sha D. Y. , Perng Der Baau , Lai Guo Liang
Published: September 2013

The main purpose of this study is to identify the critical factors that affect shopping intention of consumers while using smart digital content technology at a retail store. Through verifying the factors in the test model proposed by this study based on the technology acceptance model, we performed structural equation modeling method to test the model and collected data from 209 customers to evaluate the proposed model. The results of this study strongly support that the simplification of user interface and proper information feedback are the important factors to affect the customers intention to use smart digital content information technology.
Pre-Filling Collaborative Filtering Algorithm Based on Matrix Factorization
Authors: Su Dong Liang , Cui Zhi Ming , Wu Jian , Zhao Peng Peng
Published: September 2013

Nowadays personalized recommendation algorithm of e-commerce can hardly meet the needs of users as an ever-increasing number of users and items in personalized recommender system has brought about sparsity of user-item rating matrix and the emergence of more and more new users has threatened recommender system quality. This paper puts forward a pre-filled collaborative filtering recommendation algorithm based on matrix factorization, pre-filling user-item matrixes by matrix factorization and building nearest-neighbor models according to new user profile information, thus mitigating the influence of matrix sparsity and new users and improving the accuracy of recommender system. The experimental results suggest that this algorithm is more precise and effective than the traditional one under the condition of extremely sparse user-item rating matrix.
Character Analysis of Online Consumers Based on Bayesian Network
Authors: Zhang Guang Qian , Bai Xue
Published: September 2013

Clickstream data provide information for the behavior traces of online consumers. These traces contain the user's personality psychology. In this paper, clickstream data is researched to analyze the online consumer character in personality psychology. We propose a consumer character analysis method by Bayesian network. By using some variables at the session level, we construct the Bayesian network and dig out the consumer character. Then, with some real clickstream data, this method is applied to an online shopper. Finally, we get the dominant type of consumer character and related variables. Through interview with user, the validity of this method is verified.
3D Try-on System's Establishment Based on Web Shopping
Authors: Dai Qing Hui , Liu Qing
Published: September 2013

In view of current 2D network shopping limitations, we developed a 3D try-on system, which is composed of human body model establishment, 3D clothing model establishment and 3D try-on effect online display. We proposed a modeling method based on VRML(Virtual Reality Modeling Language) to modify eigenvalue parameters of human body model. To match virtual mode’s and reality users’ face, we fused interpolation algorithm and model deformation, which bases on people’s real pictures and general-purpose digital human. We put forward fashion designers created 3D clothing models in order to reduce duplication of effort and improve the model’s quality. Clothing drape effect and easing effect are shown in the virtual scene. Using above methods to create 3D fitting model is more real and practical popularized.
The Improved Collaborative Filtering Recommendation Algorithm Based on Cloud Model
Authors: Gu Jia Si , Liu Zheng
Published: September 2013

The traditional collaborative filtering algorithm has a better recommendation quality and efficiency, it has been the most widely used in personalized recommendation system. Based on the traditional collaborative filtering algorithm,this paper considers the user interest diversity and combination of cloud model theory.it presents an improved cloud model based on collaborative filtering recommendation algorithm.The test results show that, the algorithm has better recommendation results than other kinds of traditional recommendation algorithm.
A Study on Logistic and Distribution Innovation of a B2C E-Commerce Company
Authors: Wang Guo Hong
Published: September 2013

Most traditional B2C E-commerce enterprises outsource their logistic to the third-party logistics and cooperate with flat channel distributors, which could lower their cost and reduce their risks. Taking Beijing 2688 E-commerce Co., LTD as example differently from the traditional enterprises, which establishes the procurement service model through cooperating with procurement services in the supply chain, this article analyzes the innovations on distribution and logistics of the case enterprise. Consequently the article proposes the key problems that the B2C E-commerce enterprises should pay attention to in the future.
Risk Management in Oil Refinery Construction Projects
Authors: Ginzburg Alexander , Khripushin Alexey
Published: September 2013

This paper describes the principles of risk management during organizational change at the oil refinery with the use of comparative analysis. Authors demonstrate the effectiveness of risk management of insufficient / excessive number of staff in the construction Project Management Office .
Evaluation to Power Corporations' Efficiency Based on Network SBM Model
Authors: Yang Yin Sheng , Cheng Yun , Guo Chang Qing
Published: September 2013

In this paper, we conducted intensive research on evaluating the performance apprises of the power corporations, and put forward the network SBM model. Using data of ten power corporations, the new model was tested and the results show the new model can overcome the drawbacks of the traditional SBM model which ignore the internal structures of DMUs.
The Application of Locomotive Management System in Internet of Things Area
Authors: Yang Yong , Lu Yu Yang , Long Hao , Huo Na
Published: September 2013

the paper presents a brand new system about mine locomotive monitoring and management based on wireless video technology, which has high communication rate, strong anti-disturbance capability, more secret, longer distance and object recognizing on high speed moving and other technology advantages. These make the system suit for complex and harsh working environment underground. It uses optical cable to translate data for saving electric cable and decreasing installation and maintenance workload. The full-course real-time supervising improves the efficient of locomotive transportation management and makes locomotive schedule much more convenience.
Exploring Semi-Autonomous Structure for Emergency Logistics Multi-Agent System
Authors: Zhang Li , Jiang Da Li , Qi Zhi , Wang Gong Xiao , Wang Fang , Wang Sen Hua
Published: September 2013

Due to the command and control relationship in emergency logistics process, the emergency logistics agent shows some semi-autonomous features as it is not completely autonomous. Aiming at the implementation of the semi-autonomous feature, this paper presents a control structure as the basis of communication among the role agents in emergency logistics multi-agent system. The suggested control structure is composed by the controller, communicator and control property set. The control property set and its corresponding ACL primitive is the core of the whole structure for representing the semi-autonomous feature, which can simulate the control behavior in the practical emergency logistics process. By means of the control property set, the controller can set the control property to the preparing information for transmission, and the communicator can encapsulate the preparing information into the FIPA ACL message with the extended control primitive. Finally, an illustrative example of multi-agent communication is proposed to validate the effectiveness of the suggested semi-autonomous structure.
Hybrid Simulate Annealing Algorithm Based Dynamic Crew Scheduling Research
Authors: Fang Jie , Xia Hong Shan
Published: September 2013

Dynamic crew scheduling optimize the crew plan and save the human resource cost in emergency situation. On the basis of considering crew plan regulations and crew cost, the research construct dynamic crew scheduling model, using heuristic pretreatment method to generate dynamic crew routing for reducing the solution space. It form hybrid simulated annealing algorithm to solve the dynamic crew scheduling problem. The experimental result confirm the method could effectively reduce algorithm search space and calculation time and improve the operation efficiency.
The Workflow Management System Basing on the Flexibility of Rule Engine
Authors: Zeng Xiao Xiong
Published: September 2013

The flexibility is always a big trouble of workflow system. For nowadays, in order to catch up with the new management of company, the traditional workflow has to be upgraded too. Being used as a small control to assist the development of controlling the flow, the rule engine separates the business rule from business logic and manages them as a whole part in order to improve the flexibility and agility of traditional workflow while the basic function of workflow would be maintained, then to attain the decoupled nature and generality of the software.
Research Focuses & Frontiers of Information Management
Authors: Yang Rui Xian
Published: September 2013

This paper concentrates on the information management research articles collected from ISI WOS.Using the tool CiteSpaceII, time distribution, and organization distribution of information management research articles were analyzed respectively. Finally, the author presents research focus and research frontier in information management field. It also reveals the status quo of research on information management intuitively and provides a valuable reference to the current study in information management field in China.
Research on Risk Early-Warning of Information Technology Outsoucing Project Based on Neural Network
Authors: Huang Kun
Published: September 2013

Information technology outsourcing (ITO) project is a high risk project with characters of complex collaborative relationship is, high degree of creativity, uniqueness, uncertainty, large investment amount, high-tech. It is conditioned by many factors and subject to strict requirements of the employer. More and more enterprises recognize that not carrying out effective risk management in ITO project is nothing else but a "commercial suicide". Combining with the neural network model, the paper determines risk level of ITO project and risks early-warning aiming at the overall risk of ITO project. In this paper, the artificial neural network model has been analyzed. And risk level of ITO project has been confirmed. On the basis of overview of the ITO project in company S, risk early-warning model has been established with a case. The author believes that risk early-warning model would be beneficial to the overall efficiency of risk management of ITO project.
The Study of Raw Milk Quality Control
Authors: Zhang Yao Li , Chen Jing , Zhong Xin
Published: September 2013

Now, along with the improvement of people's living standard, more and more people quality safety problems of dairy products by the attention. Milk quality index basically has sensory indexes and physiochemical index, microbiological quality and harmful material residues and pollutants quantity four aspects. Regarding the enterprise, it wants to produce milk, besides should assured teaches defend in production of various indexes; outside the control of raw also cannot be ignored. The key points to control of raw comparison of raw index are to ensure effective method.In recent years, as environmental pollution increasingly heavier, antibiotics, making the wrong use already slowly pollution to harmful material variety of dairy products, in the milk antibiotic and heavy metal content has become the focus of people are indexes. First, in this paper introduces dairy products can exist of antibiotic types and the detection method, then to mercury as example, the paper introduces the current national state currently can several methods of determination of mercury, through the practical consideration, find a relatively simple, efficient, feasibility big test methods.
Analysis on the Beijing-Shanghai High-Speed Railway Ticket Discount Strategy
Authors: Chen Yan , Liu Jun
Published: September 2013

In June 2012, the beijing-shanghai high-speed railway began time-phased preferential policies on parts of the high-speed trains' seats. By studying the data from questionnaire survey in the Beijing South Railway Station, Shanghai Hongqiao Station, and on T109 & T110 train, this article put forwards some discount schemes to meet the demand of passengers, and uses revenue model to provide reasonable discount suggestion.
The Research of Network Cluster Behavior Mode in Online Public Opinion
Authors: Du Jin , Du Yan Hui , Zhao Xin
Published: September 2013

In this study, by analysis of the value of public opinion, the node of the 30 the "PM2.5 Chinese name" event, the network cluster of public opinion, the event found examples to study its propagation characteristics. online public opinion perspective, build the adjacency matrix of a network cluster analysis; using four types of centrality and path calculation and analysis of network clusters presented key milestones, and critical path method. Calculated from the social point of view, the corresponding public opinion through the study guide and the entry point of the network cluster control, laid the foundation to further explore the online public opinion research in network cluster behavior patterns.
Standardized Methods of User Demand for Active Statistical Cartography Service
Authors: Su De Guo , Zhang Fu Hao , Cui Xi Min , Yuan De Guo
Published: September 2013

This paper analyzes user needs for active statistical map cartography service and puts forward standardized methods for different class of user needs based on user needs classifying, including the specific user mapping needs, the temporary user input mapping needs as well as active service initiative to provide mapping services based on user characteristics. On this basis, the paper puts forward a unified user needs standardized method by integrating the different standardized method, which gives the unified user need description for the active statistical map cartography service.
System Dynamics Analysis on Social Rescue Resources Supply
Authors: Meng Yu , Xia En Jun , Xiong Kang Hao , Zhang Bin
Published: September 2013

Social rescue resources are the material basis of emergency rescue, which is the support and key factor to ensure effective emergency rescue. From the analysis of the real cases, this paper proposes social rescue resources have three characteristics: large demand fluctuation, short demanding period and hard to forecast demand kinds; Based on these characteristics, this paper proposes social rescue resources supply including social rescue resources reserves and social rescue resources mobilization. Then, assuming there is no information delays, utilizes system dynamics to model social rescue resources reserves, social rescue resources mobilization and social rescue resources supply, and simulates to verify the feasibility and effectiveness of the models. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.
A DEA Based Multi-Objective Decision Making Method and its Application
Authors: Li Rong Ping , Cui Zheng , Du Rui Bing
Published: September 2013

Comparing various methods of multi-objective decision making, we find data envelopment analysis method is very suitable for handling multi-input, especially multi-output problems, and also get lots of useful management information. Natural Science Foundation research activity, having multi-input and multi-output variable, is a typical multi-objective decision problem, so it is ideal for using DEA method to study the effectiveness and implementation results of the activity. Therefore, the paper based on the models of C2R and C2GS2, excess input and output shortage of DEA method and taking the Natural Science Foundation of Hebei Province as the research object measures and analyzes the implementation results of different years and types of research activities. The conclusion is that the implementation effect of the Natural Science Foundation of Hebei Province is well overall and it has a good development trend but uneven development in different years, different units and disciplines, namely that implementation results are quite different.
The Research on Correlation among Ei, OCB and Performance
Authors: Mei Zhan Jun , Ma Qing Hai , Shen Xin Xin
Published: September 2013

Emotional intelligence is an important issue which has been concerned by the Psychologies and foreign business management in recent years. Emotional intelligence is a capability, is one kind of potential to create profit. But, as we know, capability itself doesnt create values directly, creating values needs to act. So it is important to research on what the relationship between emotional intelligence and performance is. This paper adds citizenship behavior variable as modulation in order to find the mechanism that EI influences performance. Through empirical research, we find that citizenship behavior is mediator between EI and performance. This solution is important value to propel management theory and to guide concrete practice.
Research on Measure Method for Reconfigurability
Authors: Yu Xiu Juan , Ji Xu
Published: September 2013

Some certain criteria will be required to evaluate the reconfiguration of a system or an individual as well as its reconfiguration value. In the paper a methodology on evaluating the reconfigurability has been proposed. It was intended for the paper to study quantitatively and qualitatively the feasibility of the system to reconfigurate. The reconfiguration distance has been put forward based on the information distance and its calculation model has been given. In the paper, reconfiguration distance was proposed to measure the reconfiguration value. This method can be used to determine the level of its reconfigurability, providing a basis for decision-makers. For the system's or individual's reconfiguration, the focus of this paper is the determination of indicators to measure the reconfiguration, i.e., costs of reconfiguration, and reconfiguration realizability used to describe the obstacles, costs needed to pay, and the degree to realize when reconfigurating the system or individual, which will further improve the reconfiguration theory. Only thus the truly meaningful reconfiguration can be achieved.
Study on the Construction of China Development Bank Co's Main Businesses Framework Based on ERM
Authors: Lu Ye Bin
Published: September 2013

Since reformed into a commercial bank in 1998, China Development Bank Co needs to strengthen risk management in the new market environment. This paper presents the meaning of China Development Bank Co's Enterprise risk management (ERM) firstly, based on which analyzing the status of risk management of China Development Bank Co's main businesses, and constructing three-dimensional framework of China Development Bank Co's main businesses ERM: the horizontal dimension is the base of ERM, the longitudinal dimension is the ERM process, the vertical dimension is ERM structure.
Keywords: ERM; main business; framework
Network Features Measurement of Social Media
Authors: Sun Yang , Zhang Ai Hua , Zheng Ming Xing
Published: September 2013

With the development of Internet, mobile-Internet the increasing demand of communication, social media has become into a most famous form of media. Users of social media form networks based on their relationships and communications, which are of important value for the field of social media. Aiming to analyze the features of social media, taking Renren and Sina Microblog as the examples of domestic social network stations and Microblog, the article constructs three samples which are individual network of Renren, overall network of Renren and Attention network of Sina Microblog. After collecting the data, the article uses Gephi to measure and analyze the network features, after which it compares the network features of these three samples. Based on this analysis, in the role-playing analysis, the article states the role-playing based on the significance and sociality/media, which we call it tendency to connect. During the analysis it put forwards some practice suggestions.This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.
Influence Factors Identification of the Effective of Human Capital Allocation on Fuzzy DEMATE
Authors: Li Ya Qun , Duan Wan Chun , Sun Yong He
Published: September 2013

With the development of Knowledge Economy and the transforming of economic growth pattern, human capital has aroused extensive attention, particularly the effective of human capital, has been the academic focus of the study in recent years. First, the index system of factors of the effective of human capital allocation is constructed; then, corresponding analysis model is suggested based on the Fuzzy DEMATEL (Decision Making Trial Evaluation Laboratory) method. Finally, the total degrees of given and received influences, the degree of cause and the importance grade are analyzed.
Wind Power Industry Competitiveness Evaluation in Hebei Province Based on Improved Fuzzy Comprehensive Evaluation Model
Authors: Liu Zhi Bin
Published: September 2013

The wind resource is rich relatively in Hebei Province, and the wind energy utilization also has great potential. So it can play an important role to the sustainable development of Hebei Province energy, prompting the coordinated development of social economy and ecological environment. As a kind of renewable clean energy, wind power has the advantage of no pollution, low cost, but the wind power also has the inherent shortcoming of intermittence, random and instability. To evaluate the competitiveness evaluation of wind power industry in Hebei Province scientifically and accurately, this paper constructed the multi-level fuzzy comprehensive evaluation model, and defined the subordinate function and weight proportion. The competitiveness evaluation of wind power industry in Hebei province showed that the results given by this model are reliable, and this method to evaluate the industry competitiveness is feasible.
The Application Research of Comprehensive Fuzzy Algorithm in the Evaluation of Culture Industry’s Development Level
Authors: Meng Qing Qiang , Liu Jie
Published: September 2013

Culture industry is a new industry which develops under the background of globalization, and the evaluation to culture industry’s development level is becoming more and more urgent. According to the culture industry’s present situation data and its definition of Hebei province, this paper carries out the level analysis of culture industry, and establishes the fuzzy evaluation factor set of cultural industry’s development level in Hebei province, and then constructing fuzzy evaluation matrix to do the comprehensive evaluation of culture industry’s development level in Hebei province. According to the evaluation results, the paper also puts forward the strategy of implementing talents with science and technology, improving the competitiveness of culture industry; broadening the financing channels, strengthening the investment to culture industry; developing the related industry into a bigger scale, forming a features culture industry chain; perfecting policy and regulations system, providing such countermeasures and Suggestions as policy support and legal protection.
Agent-Based Crowd Evacuation Modeling in Buildings
Authors: Xie Rong , Zhang Yan
Published: September 2013

Crowd evacuation in large and complex buildings is becoming a challenging direction in the field of emergency management. In the paper, we present an agent-based approach to modeling crowd evacuation, including navigator model and crowd movement model. Visualization results show these models can access to realistic evacuation process and achieve the goal of rapid evacuation.
Application Analysis of Internet of Things on the Management of Supply Chain and Intelligent Logistics
Authors: Zhang Fei Zhou , He Han Xian , Xiao Wen Jun
Published: September 2013

Logistics is one of the earliest realized industries in Internet of Things (IOT), IOT technology plays a great role in promoting the development of logistics industry, changing the processes and management methods of supply chain, on reducing logistics costs and improving logistics efficiency as well. Starting from the concepts and the actual situation of the supply chain management. The article analyzed various aspects of the supply chain, and described the design of supply chain management system in intelligent logistics. At last, the trends and importance of the Internet of Things in intelligent supply chain logistics management was described.
RFID Virtual Coordinate Location Routing Algorithm
Authors: Feng Wei Jun , Yu Song Sen
Published: September 2013

We have put forward a RFID routing algorithm based on virtual coordinates, on the basis of the differences and similarities between the RFID route and the WSN route. In order to solve the RFID routing problem under the environment of mobile node, this method has specified physical environment with virtual coordinates, and has found the optimal path between the source node and destination node by using scanning calculation. In the eclipse environment, the results of the experiment show that this method is more efficient and has less communication overhead.
Picking Route Optimization of Automated Warehouse Based on Improved Genetic Algorithms
Authors: Wang Pei Guang , Qi Xing Min , Zong Xiao Ping , Zhu Ling Ling
Published: September 2013

In order to improve the efficiency of automated warehouse, the order-picking task of the fixed shelve was researched and analysed. The picking mathematical model of automated warehouse was established and attributed to the classical traveling salesman problem (TSP) model. At the same time, using an improved genetic algorithms(improved GAs) solved the optimization problem. Firstly, the initial population of the algorithm was optimized, and then a 'reverse evolution operator' was introduced in the improved genetic algorithms because of the lack of local optimization ability of genetic algorithm. Results of experiments verify that the method can acquire satisfying the demands of the route picking and optimization of speed.
The Application of Ant Colony Optimization Algorithm in the Flight Landing Scheduling Problem
Authors: Feng Xiao Rong , Feng Xing Jie , Liu Dong
Published: September 2013

Flights landing scheduling problem is an NP-hard problem, the article presents an Ant colony optimization algorithm based on dynamic calculation of the heuristic information to solve a single runway flights landing scheduling problem. The algorithm has better global search ability and relatively fast convergence rate. The experimental results show that compared with traditional first come first serve, genetic algorithm and particle swarm algorithm, this method can quickly give the better flight approach and landing order to help controllers make efficient aircraft scheduling policy and reduce flight delays. Keywords:Heuristic Information entropy Ant colony optimization Global search
An Investigation of the Planning and Designing of Parking in Logistical Parks
Authors: Sun Xing Cheng , Chen Dui Yong , Sun Hai Ying
Published: September 2013

Logistics Park parking lot planning and design of logistics park planning and design of transportation systems is an important part. Based on the purpose of planning and design of the park parking lot, parking characteristics, parking situation, parking planning and design principles of content and five parking planning and design aspects of Logistics Park parking lot to the overall analysis of planning and design. On this basis, the layout plan of the park's parking lot and parking stowage plan was analyzed and discussed.
Study on Traffic Impact Analysis Based on System Building
Authors: Tang Yu Qing , Wu Yi Feng , Wang Xiao Gang , Wu Tian Shuai
Published: September 2013

The current constructional project have significant influence on the traffic system in the evaluation scope by TIA, the modification of the regulatory detailed plan and the plan conditions proposed is impossible for its characteristic of ex-post evaluation. Thus the effectiveness of TIA is greatly reduced. This paper discusses this issue and puts part of the content of TIA upward into regulatory plan stage. The focus and content of each stage can be clearly assigned by the integration of comprehensive transportation system plan in master plan, TIA in regulatory plan, TIA in constructional detail plan and project design. Furthermore, the paper introduces the measure which was put forward in urban comprehensive transportation plan of Bayuquan District in Yingkou City and TIA was applied in regulatory plan of Wanghai new District. By improving the method and testing the effects, the role of TIA can be further enhanced.
Research on Power Quality Evaluation Based on Matter-Element Extension Model
Authors: Wang Yong Hua , Luo Guo Liang
Published: September 2013

Based on the matter-element extension model, this paper first builds a set of reasonable power quality evaluation index system, and then determines the index value through the analytical hierarchy process (AHP), and finally makes a comprehensive evaluation of power supply quality. With an example based on, this paper will prove the feasibility of matter-extension model supplied in power quality evaluation.
A Study on Freeway Traffic Incident Duration and Improvement Countermeasures
Authors: Gao Jing Ru
Published: September 2013

Reducing the duration of freeway traffic incident plays a significant role in improving the efficiency of freeway transportation. The duration of freeway traffic incidents is composed of four stages: the discovery time, response time, clearing time and the recovery time. Through analyzing the key factors influencing different duration stations, this article studies how factors including incident severity, aid resource allocation and emergency rescue preplan influence the duration, and pointedly propose countermeasures to reduce freeway traffic incidents duration. The conclusion of this article provides reference for improving the efficiency in freeway traffic incident management.
Key words: traffic incident; duration; factor analysis; improve countermeasures
A Probabilistic Algorithm to Medium-Term Conflict Detection with Multi-Waypoints
Authors: Wang Jie Ning , Wang Bin Bin , Zhao Yuan Di
Published: September 2013

To predict the potential conflict during the flight routes, a conflict detection approach based on multi-waypoints is presented. Aimed at the encounter geometry of two aircrafts with multi-waypoints, in order to simply the computational process, the aircrafts routes are divided into several straight conflict paths. Model along track kinematics equation of the aircraft by referencing to a classical conclusion that the along track error of the aircraft is normal distributed, consider an encounter between two aircrafts at the same flight level , construct an ellipse conflict region, by establishing a rectangular coordinate system represented aircraft position appropriately . First, propose a probability estimation algorithm of medium term conflict detection for cross routes at the same level, then analyze the relationship between the conflict probability and several factors based on various graphs. MATLAB result shows that the proposed algorithm is advanced in its simple calculation method, fast calculation speed and precise detection calculations.
On Relationship between Teacher Autonomy and Learner Autonomy
Authors: Diao Li Jing
Published: September 2013

In the process of the development of learner autonomy, teachers play a very important role, even determining to some extent whether learner autonomy can be realized. However, there is a lack of strong finks in theories concerning the relationships of learner autonomy, language proficiency, and teacher autonomy. This article explores the relationships between teacher autonomy and learner autonomy in terms of autonomy theory and teaching application and formulates the opinions that teacher autonomy does have positive effects on learner autonomy to some extent and learners with autonomous learning ability can make faster progress in language proficiency than those without learner autonomy
On Multimedia Teaching of Hydraulic Transmission
Authors: Wang Huan Yun
Published: September 2013

As an important means of modern education reform, multimedia teaching has obvious advantages. It is used widely in teaching and has improved the teaching effect and quality to a certain extent. However, with the development and popularization of multimedia technology, there are many problems to be solved. In this paper, how to combine multimedia teaching with classroom teaching organically in hydraulic transmission teaching to maximize the interest of students in learning and initiative is discussed.
The Exploration and Analysis of Distance Education Teachers’ Professional Development - Based on the Field of Vision of Philosophy of Technology
Authors: Wang Jun Feng
Published: September 2013

Abstract. The key of Open University construction is the teachers’ team building, and the teachers’ professional development is the most important part. Open University teachers’ professional development has not fit for our teaching requirements any more. The rapid development of information society put forward some severe challenges to Open University teachers’ professional development. Under the view of philosophy of technology, fit for the request of the new situation, It must have some progress on Open University teachers’ professional development: first, to improve the professional academic level; second, to improve the teaching skills; third, to improve the information technology. Those three parts constitute connotation of professional distance education teachers. In the deep analysis the difference between Open University teachers’ professional development and the reality, base on this reason, they offered a good plan, which we hopefully can enhance, the Open University teachers’ professional level, and also can improve the distance education quality.