bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Implement of Commodity Client Electronic Trading System
Authors: Qi Chang Xing
Published: September 2014

According to the characteristics and requirements of the commodities Client Electronic trading system, This paper designed an commodity client electronic trading system. At the same time. According to TCP communication protocol, comprehensive using JSON and related technology,develops a communication program which used to connect to server. Further more, the communication protocol, loading balancing strategy,improving the efficiency of the communication methods are expounded in detail.
Factors Affecting Customer Loyalty for Online Group-Buy
Authors: Wu Bing , Zhang Chen Yan
Published: September 2014

As customer satisfaction and loyalty are often low in online group-buy, the conceptual model is constructed to explore the factors influencing online group-buy consumers’ loyalty based on theories of the Technology Acceptance Model (TAM), including the perceived risk, customer satisfaction, and customer loyalty. And 13 hypotheses are made according to the conceptual model. The research results can be the reference for the improvement of customer loyalty for online group-buy. In the future research, the empirical study will be used to verify the proposed hypothesis and reveal the impact of each variable in the conceptual model.
Information Technology Application in Small and Medium-Sized Professional Library Business Management - With the National Institute of Metrology Library as an Example
Authors: Yang Cai Jun , Li Li , Liu Yi Tong , Pan Feng
Published: September 2014

This paper analyzes the problem during the application of outsourcing’s library automation system in small or medium professional library, example for national institute of metrology library; constantly improves the process of self-building business management platform for decades and introduces difficulties in the application of information technology to business management in small or medium professional library. The key to solve the problem is put forward.
Quantitative Analysis of the Process Models in IT Service Provision Engineering
Authors: Zhao Guo Xiang , Liu Xiao Yin , Gao Zhi Wei
Published: September 2014

Nowadays, the provision of IT service is becoming the main business of IT enterprise operation, especially in E-commerce; however, the study on its quantitative modelling method is still in its infancy. This paper studies key subprocesses affecting IT service provision from the aspect of incident process, and provides a quantitative solution for enterprises to modular IT service by designing key subprocesses, establishing measurement metrics and process performance models across full lifecycle. In the end, the numerical analysis and measured data proves that the model has a relatively high goodness-of-fit.
A Variable Step-Size BLMS Adaptive Jamming Cancellation Algorithm Based on FFT
Authors: Feng Cun Qian , Lu Bing Qian
Published: September 2014

There are a lot of advantages for the traditional LMS algorithm, such as being simple in structure, being good in stability and so on, but this algorithm has defects that its computational complexity increases rapidly with the order of the adaptive filter. In order to apply the LMS algorithm to the adaptive jamming cancellation system, real time of the LMS algorithm must be improved. This paper deals with the signal which segmented into several areas, utilizes the FFT technology to achieve the blocked algorithm, and finally brings variable step-size method into the new algorithm. The high efficiency of the new algorithm is verified by simulation results.
Study on Tropical Agricultural Mobile E-Commerce System in Hainan
Authors: Fang Ji Hua , Luo Hong Xia , Wang Ling Ling , Chen Shuai
Published: September 2014

This paper mainly studied the key techniques of tropical agricultural products mobile e-commerce based on the field production record information acquisition, agricultural product supply and sales information published online, internet trading, logistics tracking, production traceability, LBS and so on in Hainan. Then discussing the method of establishing and perfecting Internet marketing credit system including production and trade tractability system, quality and safety credit standard during planting, market access rules, authentication mechanism of supplier, published rules of market information for Hainan agricultural products. Lastly, building a new e-commerce platform from the agricultural production plant to sales with mobile phones and other terminals, which could achieve recording farming informations, agricultural product quality traceability, LBS users search and produce marketing sale docking movable and rapid operation.
Survey on Review Spam of E-Commerce Sites
Authors: Yang Sheng Xiu , Fan Lu Jie
Published: September 2014

Online shopping reviews provide valuable information for customers to compare the quality of products, and many other aspects of future purchases. People increasingly rely on information from E-commerce reviews. Product reviews is an important determinant of potential customers’ buying choices. However, spammers are joining this community to try to mislead consumers by writing fake or unfair reviews to confuse the consumers. Fake product review detection makes an attempt to detect fake reviews and remove them to restore the truthful ones for readers. To the best of our knowledge, there is still less published study on this problem. In this paper, we make a survey and an attempt to give a brief overview on review spam. The related work of fake product review detection is presented including web spam and spam email. Then some methods to detect review spam are introduced and summarized. The trend of review spam detection is concluded finally.
Adaptive Extended Kalman Filter for Nonlinear System with Noise Compensating Technology
Authors: Ma Zhou Sheng , Fan Wen Bing
Published: September 2014

This paper is concerned with the development of new adaptive nonlinear Kalman estimators which incorporate nonlinear model errors and noise statistical characteristic errors. With the adoption of fictitious noise compensation technique and actual non-divergent computation method, the new filters are aimed at compensating the nonlinear dynamics as well as the system modeling errors by adaptively estimating the noise statistics and unknown parameters. The performance of the proposed adaptive estimators is demonstrated using six-state with varying model parameters as a simulation example.
Applications of the Network and Computer Technology in the Model Optimization of Multi-Object E-Auctions
Authors: Rao Cong Jun , Dong Jin Hui
Published: September 2014

With the development of computer technology and network, e-Auctions are widely applied in the field of engineering technology. How to use the computer technology and network to optimize the models of multi-object e-auctions is a hot topic. Regarding the e-auction as a background, this paper presents many widespread theoretical and applied problems, and summarizes and reviews the main conclusions and progress of existing studies related to the computer technology and network in the e-auctions, and then gives several new research topics to e-auctions. It tries to promote the applications of e-auction theories in real engineering technology problems.
Evaluation of APP User’s Satisfaction Based on Fuzzy AHP
Authors: Chen Ya Ran , Cao San Xing
Published: September 2014

In recent years the number of APP users rapid growth, so the research on APP user’s satisfaction is particularly important.This paper makes analysis and research on the evaluation method of APP user’s satisfaction, in view of the different influence factors of users in the use of the APP, we put forward the evaluation index of APP user’s satisfaction set, and used AHP to determine the weight of evaluation index, finally we get the asessment for the APP user’s satisfaction situation through the fuzzy mathematics comprehensive evaluation model.In the end of the paper, we can get a conclusion that the method is objectivity, practicability and accuracy.
Measuring User Influence in Sina Microblogging Social Network
Authors: Miao Shi Min , Yu Xiao Qing , Wan Wang Gen
Published: September 2014

As a convenient and popular social network platform, microblogging has become an important medium for people’s information exchange. The development of microblogging network can be regarded as a growth of complex network, and dissemination of information in microblogging network shows strong regularity. In the face of big scale of users, the appraisal of user influence become an important index to measures the value of a user. How to recognize user influence becomes a hot topic in microblogging research. In this paper, we proposed a method named InformationRank to evaluate user influence, which based on measure the information of node betweenness centrality in the network. Then, we analyze and compare the efficiency of this method with PageRank algorithm and Hits algorithm. The experimental results indicate that InformationRank algorithm is effective in a large scale network.
A Minimized Order Distribution Risk Model Based on Immune Algorithm
Authors: Liu Tao , Wang Qian , Xie Chu Hui
Published: September 2014

The requirement for minimized risk is that, in the premise of balanced capacity of each member, make the lowest cost of whole manufacture and distribution network through the optimal production task allocation scheme. This paper analyzes the forming mechanism of order processing risk in the horizontal type of virtual enterprise alliance. Moreover, a minimized order distribution risk the model is proposed, and the model is computed by immune algorithm. Afterwards, the feasibility of model and algorithm are verified by a real example.
Lesson Learned in the Research and Development of Specialized Vehicle Health Management System: A Hybrid Approach for Decision Support System
Authors: Liu Chun Rong , Hu Dong , Lv Wei Min , Fang Deng Jian
Published: September 2014

The reality is that PHM is mostly a matter of the analytic method and process of building tailored and hybrid functional DSS to meet various requirements in field of maintenance and logistics support, not only creating models and algorithms in black box which is philosophical basis of so many PHM universal platforms, especially in the concept and design stage of systems. Some issues under discussions are presented firstly. Then, the critical cases analysis method is described, and the demonstration on the different level of specialized vehicle health management system is shown as human-computer interfaces. Lastly, the preliminary design approach to implement PHM system is presented. In addition, potential difficult points in practice are investigated for R&D of PHM.
An Improvement of Apriori Algorithm in Medical Data Mining
Authors: Zhou Yu Han , Tian Pei
Published: September 2014

With the explosive growth of medical data, the new method of data mining is applied now. Data mining has provided knowledge, rules and decision for the whole medical database or the integration of medical information. This paper uses an improved Apriori algorithm to analyze the characteristics of medical data and find knowledge in medical data. This algorithm improves the efficiency and reduces the hardware requirement.
Analysis of Factors Affecting the Attractivness between Shipping Center and its Hinterland
Authors: Wu Rong , Tu Min , Sun Wen Feng
Published: September 2014

Hubei Provincial Party Committee and Provincial Government attach great importance to the construction of Wuhan shipping center. In this background, the paper analyzed the concept of hinterland of shipping center. We use triangular fuzzy number model to calculate the factors that influenced the attractiveness between shipping center and its hinterland. Finally we get the indicator system of factors of attractiveness between shipping center and its hinterland.
Construction of the Whole Process System of Intellectual Property Management in Scientific Research Project Based on the Policy Deconstruction and Reconstruction
Authors: Fu Yu , Peng Jie , Zhao Hui
Published: September 2014

As the backbone of the national science and technology development, intellectual property management of scientific research project has become one of the most important links in the intellectual property’s protection and management in China. With the policy deconstruction and reconstruction method, the critical steps of the intellectual property management have been isolated from the policy documents and combined back together to build the whole process system of intellectual property management in scientific research project. Three elements of a system, participators, process and productions, have been identified and reasonably reconstructed to build the system.
Research and Practice in Proactive Application Maintenance
Authors: Li Yan Xia , Yu Chun , Qi Yun Yun , Zhang Qian
Published: September 2014

The quality of application maintenance is directly related to operating results, as well as the life cycle of applications. In today’s digital business environment, application failure or unexpected downtime can have a devastating impact on any organization. In order to ensure the stable and efficient operation of applications, we have studied the general framework of proactive application maintenance, researched and practiced efficient operation technology, established comprehensive operation support processes, formed a high level operation and maintenance team, and achieved good results at Tsinghua University.
Agent-Based Modeling and Simulation on Planning Analysis
Authors: Wu Hao , Peng Zheng Hong
Published: September 2014

In contrast to China’s rapid urbanization, the development of urban planning technologies remained relatively lagged behind. By taking quantitative analysis urban planning as a starting point, the research discusses the scope and content of planning at various levels as well as the possibility of data acquisition so as to choose the applicable planning analysis models. Agent-based modeling (ABM) has become an important subject recently in urban planning due to its top-down approach. This study discusses the building of a analysis Agent-based model for urban planning and design in a bid to provide direct and visual method for planning practices. We built a planning model with the software Repast S which was proved being useful in escaping green space planning. From running this Agent model the dynamic visualization of disaster evacuation process could be simulated.
European Option Pricing under the Double Exponential Jump Model with Stochastic Interest Rate, Stochastic Volatility and Stochastic Intensity
Authors: Sang Jin Yan , Zhang Na , Jian Ming
Published: September 2014

This paper explores the valuation of European options when the underlying asset follows the double exponential jump process with stochastic rate, stochastic volatility and stochastic intensity. This model better describes market characteristics, such as the volatility smile, and jump behavior. By using FFT (Fast Fourier Transform) approach, a closed form representation of the characteristic function of the process is derived for the valuation of European options. Numerical results show that the FFT method is effective and competent.
Computation Model of Network Scale for Urban Rail Transit Based on Mutualism Model
Authors: Zhao Wei , Gao Yang Ming , Dong Man Sheng
Published: September 2014

In order to compute the network scale of urban rail transit, the paper proposed a mutualist model describing the network scale, through investigating the main influencing factor of network scale-the population and the relationship between population and network. The equilibrium point of different equations was given practical meaning.calibrating the key physical quantities, the nonlinear differential equations have been solved by using Runge–Kutta. Applying the model to predict the population and network scale in main city in Hefei in 2020 and long future, compared with the traditional travel demand model and network service coverage model. The result are basically accordant, so the new model is feasible.The theory model provides a new means of quantitative analysis method for urban rail transit network planning, So it has important theoretical and practical significance.
Reliability Optimization for Multi-State Series-Parallel System Design Using Ant Colony Algorithm
Authors: Di Peng , Xu Yi Fan , Li Fang , Chen Tong
Published: September 2014

In this paper, an algorithm based ant colony approach (ACA) is designed to find the optimal configuration for redundancy apportionment problem (RAP) of series-parallel multi-state system (MSS). In order to achieve maximum system reliability under cost and performance constraints, the algorithm takes advantage of ACA’s combinatorial optimization, uses heuristic information about reliability to arrange components from available choice. Different from traditional nominal performance and reliability system, universal generating function (UGF) is introduced and used to estimate the multi-state system reliability. Finally the experiment has shown that the presented algorithm can provide optimal and near optimal solutions, and have efficient and convenient calculation performance.
Study on Demand Side Management of Railway Electricity System
Authors: Liu Bing Feng
Published: September 2014

An index system for evaluating the demand side management (DSM) on railway temporary power system is established in this thesis, and the part weight and the whole weight of the index system are calculated by the analytic hierarchy process (AHP). The basic theory of fuzzy evaluation is introduced, and the feasibility of applying it to DSM on railway temporary power system is analyzed. Through the establishment of index system, evaluation and comparison to DSM projects can be carried out horizontal and vertical. Then identify gaps and weaknesses, analyze the causes, guide the consciousness of energy conservation and environmental protection, supervised of electricity in an orderly manner, establish DSM long-term management mechanism.
Construction of Practical Talented Students Cultivation Course System of Internet of Things
Authors: Long Hao , Li Yuan
Published: September 2014

Specialty of internet of things is a lately-established academics direction of nation, because it involves detection, calculator, network correspondence, operate system, electronics technique and control knowledge, etc, and each school's attention is also different, all schools are in investigation stage. This text discusses the course platform, experiment platform and practice platform of internet of things technology in unified construction and the student's layering, classification development, carry out a new teaching way of thinking system with theory course, experiment and practice teaching, and cooperation of produce, learning and study.
Research on Improving of Teachers Instructional Design Ability
Authors: Wei Dan Dan , Qiu Le Xing
Published: September 2014

So far, the research on instructional design theory has been influenced by behaviorism, cognitivism and constructivism, forming a variety of researchs on positioning and orientation. In the aspect of teaching, theory of instructional design has not played the proper role. This paper analyzes the application status of theoretical ability of instructional design and instructional design of primary and secondary school teachers, and put forward some countermeasures for solving the current problems.
Research on the Education Model of MHA Based on Comparison between China and America
Authors: Guo Hui Bin , Guo Ya Song
Published: September 2014

Medical institutions are in urgent demand of the senior management professionals in China. This paper analyzes the MHA training model at the initial stage in China, and compares to the success experience of MHA education in University of Missouri, proposes building a MHA education model in China from the four aspects, limited top-level design, teaching content design, operating mechanism, and teaching quality monitoring and security system, and research some key problems.
Study on College Student Education Management Evaluation and Countermeasures Based on MFA
Authors: Yang Sheng Kui , Xu Zeng Fu , Zhou Li Min
Published: September 2014

It has been paid more and more attentions To strengthen EQO Essential-qualities-oriented) education of colleges. Multiple Factor Analysis (MFA) is a kind of analysis method to fully select the factors associated to analysis and illustrate the problem. It is also an important analysis tool to solve the proposed problem. This paper proposes the study on evaluation and countermeasures of college students education management based on MFA. The proposed method conforms Chinese college student education management evaluation system and countermeasures of the characteristics. It also has an important significance to improve the education quality of Chinese college.
The Application of Multimedia Technology in Mathematics Teaching
Authors: Wu Wen
Published: September 2014

Multimedia technology as a means for effective teaching, can effectively stimulate the students' information that teachers want to pass and strengthen the students' interest in mathematics through the visual form, diversification, enrichment. At the same time, it can reduce the teachers hand-painted, transcription, such as time, increase classroom information density, improve the students' logical ability and imagination, achieving the goal of improving the quality of mathematics teaching, thus has high practical significance. This paper survey the background and related theory, the characteristics of multimedia technology in understanding, focusing on analyzing advantage and the necessity of its application in mathematics teaching, and the application effects of the study.
Application of Fuzzy Optimization Theory for the Decision of Talents Recruitment in Universities
Authors: Liu Qiang
Published: September 2014

Aiming at the issue of talent recruitment decision in universities, the fuzzy optimization theory was adopted to construct an analysis model of the multiple objects. It is found that the optimal decision concerning the recruitment of high-level talents in universities can be made according to the results of a comprehensive evaluation through the analysis model. The model calculation is simple and the result is in conformity with the actual. It can provide a reference of high-level talents recruitment in universities.
Research and Implementation of University Statistical Information Collection System under the Conditions of Multiple Data Sources
Authors: He Bin Sheng , Yang Wan Hua , Ma Xin Ke , He Jie Tao , Sun Pei Yan
Published: September 2014

Based on the deep analysis of current status of statistical information work, combined the actual work of North China Electric Power University, this paper combs the statistical data index system and interpretation system under the conditions of multiple data sources, and develops the statistical data collection model under the multiple management information systems integration environment. Then by using the computer tools, the North China Electric Power University statistical information collection system is developed. The data collection-submission process is solidified, and the statistical work has become more standardized. Finally, the suggestion and measures of carrying out the statistical work is given.
RETRACTED: Technological Innovation Leads the Development of University Library Service
Authors: Xu Lin
Published: September 2014

Retracted paper: This article mainly takes technical innovation as the starting point, this paper introduces that the technological innovation leads the development of university library service, including the connotation of service innovation, the innovation of the service content, and the innovation of the service mode. Finally by technological innovation leading services empirical analysis out of the library service innovation and development.
Research on the Characteristic of Social Information Ground’s Spatial Structure and Information Dynamics
Authors: Jiang Bing , Duan Rong , Wang Zuo
Published: September 2014

Based on Entropy and dissipative structure theory, the structural model of social information field space is explored in this paper. Studies have shown that a relatively independent complex social system is posed by all kinds of "information men". And because of interconnected relationship and mutual transformation among "information men", it develops into a social group or social organization with the characteristics of mathematics.A complex system of society is finally regard as a "superior" constituted by different social groups according to certain rules.
A Correcting Model for Preposition Error in English Essays of Chinese Student Based on Hybrid Features Classification
Authors: Zhou Ya , Rong Zun He , Huang Gui Min
Published: September 2014

In this paper, we propose an automatic preposition correction method for Chinese learners of English. Our corpus comes from Chinese learners of English Corpus (CLEC). We use N-gram model to extract the semantic features based on the form of the word in context, part of speech tagging and syntactic parse tree. Meanwhile, this paper proposes a new method based on mutual information and improves the training and classification method. This method’s performance has been improved in terms of both effectiveness and efficiency, and the results show a significant improvement compared with the previous results.
Design and Realization of the Student Dormitory Management System Based on RFID
Authors: Chen Zhan Fang , Ding Xin , Sun Su Peng , Shi Le Min , Sun Yu Xi
Published: September 2014

With rapid tempo of development in the information technology, design model of information network based on three-layer structure and WCF could solve problems about dormitory managing work which relies on its merit as to independence of programming language and platform. It makes programmers’ distribution and collaboration of tasks more effective to apply key technology of three-layer structure and Web Service to student dormitory management system’s design and implement. Therefore, developers of system can pay more attention to the relative business logic in order to reduce difficulty of maintenance in late stage of software development life cycle. Moreover, it does not need artificial intervention to realize RFID which has speedily and convenience operation. In this case, efficiency of managing work and unity of system data can be guaranteed.
Construction of Mobile Learning Network System Based on Cloud Computing
Authors: Wei Yan Li , Zhao Han , Cao Zhong Lu
Published: September 2014

Distributed computing and Resource sharing in large-scale heterogeneous system are the key to realize mobile learning system. This paper sets up a mobile learning service system through the construction of teaching cloud platform and cloud resources, cloud resource sharing, application and service of cloud resource, system and mechanism construction. The mobile learning network system is established by building models of it, which realizes mobile learning, collaborative learning and the situated learning anytime anywhere with freedom, individuality and diversification.
Review of Regional Power Grid Fault Information Screening
Authors: Chen Hao , Xiong Wei , Yang Shi Yong , Li Huang Qiang
Published: September 2014

This paper introduces the complexity of fault information and summarizes some main methods in the field of fault diagnosis,including Expert system,Artificial neural network,Fuzzy inference,Rough set theory,Petri network,Bias network,etc.Analyse basic concepts,method principles and their advantages and disadvantages of various methods.Put forward methods of combining multiple methods to synthetically handle the fault information of power network
Trust Calculation Model in Knowledge Community
Authors: Li Xin Miao , Chen Zhen Yang , Li Sha
Published: September 2014

Knowledge community, an online community form, is different from the real ones. It emphasizes the importance of effective knowledge management and the trust among the members. Researches on trust nowadays mainly focus on the P2P business model, the personalized recommendation systems of mobile equipment and etc. This paper sought to find a way to quantify the trust of knowledge communities. Two cases are considered in the paper. In this paper, it is thought that trust can be calculated based on the historical interactions, and if not, it can be predicted by user’s profession and preference. This paper provided two models based on the two different situations, and verified the model by an experiment.
Enhancing Endpoint Trusted Connect Using Lightweight Virtualization
Authors: Shi Shu Hui , Li Zao Ping , Liu Ya Feng
Published: September 2014

With the computer technology boomingly developing and the internet applications gradually spreading all over the world, more and more requirements of endpoint user acquires all kinds of resources via different security level networks. TCG provides approaches to prevent endpoint device from being ruined. However, more NARs on a single physical platform handle connections to different networks which lead to security problems, due to tightly coupled of NARs. In this paper, a lightweight trusted connect framework based hardware-level virtualization is proposed. And we illustrate core implement with improved KVM.
One Fault Diagnosis Method Based on Fuzzy Equal Relationship and Rough Set Theory
Authors: Yang Si Jie , Li Jing Hui , Liu Xiao Ni
Published: September 2014

In order to process the abundant information in fuzzy clustering, one fault diagnosis method was proposed based on Rough Set reduction algorithm and Fuzzy equal relationship clustering. Not only the iteration numbers was reduced in the fuzzy equal relationship matrix, but also the clustering numbers was lower. Then the examples were applied to test its validity.
Research on Application of Google Glass in the Field of Journalism
Authors: Cao Juan , Wen Yu Jun , Zhang Peng Zhou
Published: September 2014

This paper makes a brief introduction on the development and the major structure of Google glass, and discusses practical applications and a development trend of Google glass in the field of journalism based on the news business needs.
The Research of Smart Home Robots Based on 3G Mobile Network
Authors: Feng Xi Ye , Huang Xiu Qing
Published: September 2014

With the development of Internet of Things technology, 3G communication technology,control technology and Multi-information fusion technology of multi-sensors, a technical solution for the robot to perform a task in a variety of complex, dynamic, uncertain and unknown environment is presented,which is based on these technologies and control theory, signal processing, artificial intelligence, probability and statistics. From the perspective of smart home,the robot technology and embedded technology, this paper presents an intelligent robot system which can interact with us through 3G mobile network.
Design and Implementation of Intelligent Greenhouses Based on the Internet of Things
Authors: Ni Ran
Published: September 2014

With the development of modern agriculture construction, various types of supporting agriculture automation equipment began to use and achieved good economic benefits, at the same time, linkage, information transfer between the various devices become the bottleneck to limit the scale of agricultural production. In this paper, the research object, describes the control, the temperature in the greenhouse automation equipment in humidity control, ventilation system, irrigation system, automation equipment and its linkage, linkage alarm mechanism, the Internet of things technology control system model and the hardware and software realization scheme is given based on. Finally through the network implementation of the joint of various types of equipment and system control and alarm in the greenhouse, avoids some potential risks in agricultural production, saving the modern agricultural production cost and management cost.
Performance and Cost Aware Application Placement in Cloud
Authors: Xu Meng , Li Qing Zhong , Cui Li Zhen
Published: September 2014

With the development of Internet technology, cloud computing has been widely applied to various industries as a new service delivery model in recent years. The cloud service providers must provide services for many customs at the same time. So a large number of different applications must be deployed and the application deployment problem becomes more and more important. How to deploy the application according to their different performance requirements has an important effect on improving the quality of service, enhancing user experience and reducing the service cost. However, for service providers, improving service quality and reducing service cost are contradictory. In this paper, the application deployment problem is modeled as the application deployment graph. Then by using the Pareto optimal thought, a multi-objective optimization algorithm is proposed. It makes that the service providers use less cost to provide the better service quality for users.
The Research on Data Disaster Recovery in Emergency Management System
Authors: Chen Shi Ling , Ni Kai
Published: September 2014

Disaster recovery is an important issue that has long been overlooked in the research literature. As an effective approach to improve the security of data, data backup and disaster recovery is very important for emergency management systems. In order to guarantee data consistency of emergency management system and reduce cost of disaster backup, the model of disaster recovery was discussed in this article and data protection technologies were presented by the author. Based on the EMC’s RecoverPoint CDP technology, this paper presented a case of data protection in emergency system, which is an effective approach to protect the security of data in information system.
How Network Features Can Improve Innovation Performance in Agricultural Industry Innovation Network: Network Scale, Linkage Intensity, Relationship Quality
Authors: Du Yun Fei , Zhao Shu Hai , Lian Jian Xin
Published: September 2014

Purpose – Facing the complicated competitive environment, any organization can't have perfect knowledge innovation required, the county agricultural enterprises or organizations need to continuously develop and improve the collaboration network.Therefore, how network features can improve innovation performance inside a innovation network is an important issue, which this paper aims to discuss. Approach – A theoretical framework, integrated together innovation network properties, absorptive ability and industry innovation performance,was proposed to discuss how these factors interact. Findings – The proposed framework leads to a more satisfactory performance for the Agricultural Industry Innovation Network (abbr.AIIN). AIIN network features positive impact on innovation performance and the positive adjustment function of absorptive capacity between the two parts is verified by empirical.Sample data came from 105 concluding reports of a Chinese public special plan to reinforce county economy and enrich people using science and technology. Value – The results will help to improve the agricultural industry innovation network, improve the innovation performance, will also provide decision-making basis for government departments to the development of regional agriculture economy.
Grey Correlation Analysis Method and its Application in the Field of Engineering
Authors: Wei Ying
Published: September 2014

Grey system theory has been applied widely in the fields of industry and engineering such as property industry. In this paper, we study the influence factors on the housing price of property industry, and present an influence factor analysis method based on the grey correlation analysis. Then this method is used to analyze the multiple influence factors on property industry such as GDP, population, the total amount of real estate investment, commercial housing construction area, completed commercial housing area, commercial housing sales area and urban per capita disposable income, then we conclude that the commercial housing sales area and commercial housing construction area are two main influence factors on housing price.
Stability Analysis and Application for Equilibrium Point of Differential Equation
Authors: Li Dan
Published: September 2014

A large number of problems in natural sciences (physics, chemistry, biology, astronomy, etc.) and the social sciences (engineering, economic, military, etc.) can be described by using differential equations. In this paper, we study two kinds of differential equations, i.e., the first order differential equation and the second order differential equation, and give the definitions of equilibrium point and stable equilibrium point. Moreover, we discuss the judgment methods of stable equilibrium point, and give the application of stable equilibrium point in the species coexistence problem.
A Hybrid Differential Evolution Scheduling Algorithm to Heterogeneous Distributed System
Authors: Kang Yan , Wang Zhong Min , Lin Ying , Guo Xiang Yun
Published: September 2014

This paper presents a differential evolution algorithm with designed greedy heuristic strategy to solve the task scheduling problem. The static task scheduling problem is NP-complete and is a critic issue in parallel and distributed computing environment. A vector consists of a task permutation assigned to each individual in the target population by using DE mutation and crossover operators. A heuristic strategy is used to generate the feasible solutions as there a lot of infeasible solutions in the solution space as the size of the problem increase. And the strategies of the particle swarm algorithm are employed to modify the DE crossover operator for speeding up the search to optimal solution. And then, the individual is replaced with the corresponding target individual if it is global best or local best in terms of fitness. The performance of the algorithm is illustrated by comparing with the existing effectively scheduling algorithms. The performances of the proposed algorithms are tested on the benchmark and compared to the best-known solutions available. The computational results demonstrate that effectively and efficiency of the presented algorithm.
Prediction Method of Motor Vehicle Traffic Accident Based on Support Vector Machine
Authors: Yang Bo , Zhang Li Na
Published: September 2014

With the rapid development of economy and the improvement of people's living standard, there are more and more vehicles in China, with the increase of traffic accidents. In this paper, by analyzing the factors of social influence on motor vehicle traffic accident, we establish the index system, that is corresponding relationship of motor vehicle traffic accident and factors of social influence, According to this index system, design of motor vehicle traffic accident prediction method based on SVM. Based on the statistical data of social factors and motor vehicle traffic accident in 1985-2012 in china, to train the SVM model, at the same time, the kernel function and parameters of SVM used were setting and compared. The experimental results show that, the accuracy of the use of the RBF function is 97.2%, predicted by using time 95ms, with higher accuracy and faster computing speed.
Research on Advertising Program Based on IPTV Viewing Data
Authors: Song Yuan Xue , Tian Pei , Zhou Yu Han
Published: September 2014

As an interactive and on-demand service, IPTV meets the need of the current broadband network of value-added services. IPTV’s bidirectionality makes the viewing data available, and these data have objectivity and authenticity. According to the massive IPTV viewing data, this article applies module maximization algorithm to excavate useful patterns or knowledge of useful, potential and previously unknown. Maximize the role of user data which can make the advertisers to develop personalized, targeted advertising program, so as to reduce the advertising efforts, but they can get higher returns.
Scenery Spot Entity Resolution Model Based on Multistage Mixed Attributes
Authors: Wu Jia Jun , Lei Gang , Bao Yi
Published: September 2014

Scenery spot entity resolution is the basis on tourism information integration and tourism recommend. Entity resolution can’t be achieved through one stage between entities for most entity resolution, and can’t be obtained the satisfied result as expect. However, we can use the multistage mixed attributes entity resolution model to improve the correct result. We are adopt the multistage that concludes k-means clustering in the step 1, and the bucket algorithm to identify entities in the step 2. What’s more, we are optimize the bucket algorithm in our paper. Our experience result is effective.
Based on Phase-Locked Loop the ADF4350 Filter Design
Authors: Zhao Bai Shan , Xu Ye , Qu Jin Shuai
Published: September 2014

Based on the basic principle of the phase locked loop, analyzes the structural characteristics of the loop filter technology and ADF4350; secondly, design and analysis of two order passive low pass filter, three order passive low pass filter, two order active low-pass filter, with parameters such as bandwidth, phase margin ADF4350 PLL, selection the loop filter is suitable for the actual situation; using ADIsimPLL software to determine the parameters and realize the optimization of S parameters on circuit simulation, optimized and then use ADS software to observe. Finally, according to the results of analysis to adapt to the situation three kinds of filter structure of ADF4350phase locked loop.
Financial Time Series Prediction Based on BP Neural Network
Authors: Jia Jia
Published: September 2014

BP neural network is promising methods for the prediction of financial time series because it use a risk function consisting of the empirical error and a regularized term which is derived from the structural risk minimization principle. This study applies BP neural network to predicting the stock price index. In addition, this study examines the feasibility of applying BP neural network in financial forecasting. The experimental results show that BP neural network provides a promising alternative to stock market prediction.
Design of an Output-Capacitorless LDO Regulator with Adaptive Power Transistors
Authors: Chi Shang Sheng , Hu Wei , Xu Yu Sen , Fan Ming Hui
Published: September 2014

This paper presents a bandgap reference and an output-capacitorless LDO regulator with adaptive power transistors. The bandgap reference consists of a current reference circuit, a bipolar transistor and proportional-to-absolute-temperature (PTAT) voltage generators. The proposed LDO improves load transient and light load efficiency by permitting the regulator to transform itself between 2-stage and 3-stage topologies, depending on the load current condition. Cadence simulation with SMIC 0.18 μm process shows that the bandgap reference generates a reference voltage 569 mV and the quiescent current is only 0.23 μA, the proposed LDO generates an output voltage 1 V, the quiescent current is 0.88 μA (including bandgap reference) at no-load condition, the undershoot /overshoot voltage is 187 mV/152 mV and the settling time is 5 μs as load current suddenly changes from 0 to 100 mA, or vice versa.
HF Voltage-Controllable Band-Pass Filter Based on Varactor
Authors: Ma Sheng Qian , Zhao Chang Rong , Ji Yan Ping
Published: September 2014

Varactor to replace commonly variable capacitance is applied to the tuner. This paper presents the voltage-controllable band-pass filter design method. The filter constitutes of operational amplifier, resistors, varactor MV209 and parallel LC resonant circuit. Center frequency range of the band-pass filters is from 19MHz to 25MHz controlled with DC voltage. It derives the transfer function of the filter and function expression of junction capacitance with reverse voltage. The frequency response of filter simulation and experimental results are given. Key words: Varactor; Band-Pass Filter; Voltage-Controllable Filter; Junction Capacitance
R&D of a Microwave Field Intensity Standard Device for the Calibration of High-Frequency Field Probe
Authors: Yu Hai Tao
Published: September 2014

The purpose of this article is to establish a microwave field intensity standard device to calibrate the high-frequency field probe with frequency range from 1GHz to 18GHz and maximum field amplitude up to 10mW/cm2(200V/m),which can satisfy the calibration requirements of field probe for electromagnetic compatibility test.
Research on Mid-Long Term Load Forecasting Based on Gray Fourier Series Residual Correction Model
Authors: Niu Dong Xiao , Wang Peng , Wang Qiong , Liu Bing Yi , Zhang Wei Chang , Meng Xiang Jun
Published: September 2014

The purpose of power load forecasting is to provide the development status and level of the region's future load, providing the basis for the electric power production department and management department to make production and development plans. This paper puts forward the grey prediction model modified by Fourier series residual. First of all, the moving average method is used to preprocess the original data and weaken the burr of the original data. Secondly, the GM (1, 1) is used to estimate the load of the selected sample area. On this basis, use the Fourier series to revise the residual error of the grey forecasting model, making the model fitting of historical data as much as possible. The example analysis results show that the grey prediction model modified by Fourier series residual has the higher prediction accuracy compared with the general GM (1,1), proving the validity of the model.
Study on Multidimensional Intelligence for Realizing Seamless Power Supply between the Port and Ship
Authors: Song Yan Qiong , Xiao Le Ming
Published: September 2014

The dissertation discussed marine generator synchronous technology, as well as, intelligent on-shore controlling circulation current by means of using reactor to limit circulation current, both of which may realize seamless connection between ship electrical system and shore power; and also demonstrated intelligent FCL all-controlling power electronic device GTO (Gate Turn-off Thyristor) blocking and conducting, that can ensure the rapidity of connecting and disconnecting reactor and notable current limit effect. The dissertation proves the effect of seamless power supply between the port and ship, as a result of simulation model of intelligent FCL on-shore controlling circulation current. And intelligently dealing with electricity bills processing, as well as seamless power supply, which realize marine energy conservation and low-carbon emissions reduction in the port, can ensure to realize uninterruptable power on-shore connection, and at the same time promote the development of intelligent port.
The Electronic Throttle PID Control System Based on Single Chip Microcomputer
Authors: Wan Jun Li , Cheng Shi Run , Liu Hao
Published: September 2014

With Bosch company DV - E5 type throttle as control object，the hardware and software of the control system has been designed based on PID control algorithm. System uses TT89C51 microcontroller as the main control unit, using LMD18200 chip to drive DC motor in the throttle, at the same time, using PCF8591 as the AD conversion chip, using LCD1602 to display the dynamic control parameters. The system control software has been written by C language, The main software modules have been simulated on Proteus, an PID control experimental platform of the electronic throttle has been built, Test and the experiments of the opening degree position control on the throttle have been completed, the experimental results show that the system step response time is about 300ms, the steady-state error is less than 1%, hysteresis and overshoot is not obvious.