Recent Developments in Data Science and Business Analytics

Based on the price sensitivity of consumer products and the degree of substitutability of products, this paper analyzes the optimal pricing strategy of manufacturer, manufacturer and retailer. By comparing the total profit of decentralized decision and centralized decision supply chain, it is found that the decentralized decision can lead to the “marginal effect”, which leads to the loss of supply chain efficiency. Therefore, the Shapley value method is used to study the coordination of supply chain. Finally, through the numerical simulation analysis of two kinds of consumer decision mode of unit product price sensitivity and the product can replace the influence on the sales price and the profit of the supply chain members profit changes.

Dual channel operation under the competition condition not only requires to improve service level, but needs to achieve the collaborative service among channels, which amplifies the conflict of the manufacturer and the retailer and cooperation of the whole supply chain. Based on the service level under the dual channel supply chain, considering that cooperative strategy between network direct-channels and retail channels, to realize supply chain coordination, this paper builds providing the same services and differentiation service model based on the centralized decision and decentralized decision, through the theoretical model and numerical computation to explore the different service levels and network channels that effect on demands, prices, profits. Our conclusions show that to provide differentiated services to enable the system to achieve the optimal profit, manufacturers and retailers to adopt decentralized decision or centralized decision are affected by the acceptance degree of direct marketing network.

Food safety is become more and more valued by the public and the government. Due to a large number of stakeholders of food safety, it is very necessary for business managers and researchers to improve the quality of food from the perspective of food supply chain. Consequently, the study introduces the concept of supply chain quality management (SCQM) into the food safety management, taking SCQM as an important practice tool for quality control in order to achieve food safety. The paper develops the supply chain quality management (SCQM) models for food safety, and takes Yili as a case to verify the model. We propose a Quality-SCM framework that including supplier selection, supplier participation and QM practice in order to implement the quality control for the whole food supply chain.

This paper consider a supply with a manufacturer, a retailer and an independent strategic customer. Strategic customer with risk preference can buy products through double channels which are physical channel of offline and internet channel of online. We use rational expectation equilibrium related knowledge, analyze the retailer best order quantity to reach profit maximization, analyze the best quantity of products delivered in the internet channel to reach profit maximize without risk preference. We find the retailer’s maximum profit is decreasing in risk preference in the physical channel as well as manufacturer’s in the internet channel. In order to ease the profit reduction, manufacturer and retailer should reduce price and quantity in their respective channel at the normal period. This is not consistent with the fact that price is raised in the normal period.

We analyze a dual-channel supply chain consisting of a single supplier and multiple retailers. The retailers make sales effort to attract the potential costumers. The retail channels compete in price at the end market. We find out the equilibrium solution in centralized case and decentralized case. Then we analyze the effect of total supply chain profit with respect to effort level. We show that the supply chain efficiency decreases and then weakly increases as the number of retailer increases. We also coordinate the supply chain with two-part tariff mechanism and find out the corresponding parameters. Finally, a numerical example is given to illustrate our model.

The brand is very important to the enterprise, which determines the enterprise’s core competitiveness. It is crucial to assess enterprise brand value based on a series of criteria, and this paper proposed enterprise brand evaluation system based on the SWOT model. It used the SWOT model to analysis and determine the brand competitive strengths, weaknesses, opportunities, threats and other factors of the enterprise brand, and then constructed the enterprise brand evaluation system by integrating SWOT Model and AHP calculation method.

Practical teaching is a basic requirement for the cultivation of students’ practice and innovation ability. At present, there are some shortcomings in the practice teaching of e-commerce in undergraduate colleges, and it is necessary to cultivate the educational idea of students’ autonomous ability in the course of teaching practice. Teaching process should focus on the combination of basic theory and practice teaching, and teaching practice should focus on school-enterprise cooperation and joint training model. Practical teaching should focus on the development of e-commerce professional ability.

Marketing ability is the bottleneck of the development of Chinese medicine enterprises in Gansu province. Based on the method of improved gray correlation, with construction of the evaluation index system of marketing ability of Chinese medicine enterprises, this paper analyzes the marketing ability of Chinese medicine enterprises in Gansu province and shows the evaluation process of marketing ability. And then some countermeasures and suggestions are proposed, which can provide reference and guidance in order to promote the marketing ability of Chinese medicine enterprises in Gansu province and promote the rapid development of Gansu traditional Chinese medicine industry.

In the long-term, changes in oil prices will certainly have an impact on the estimate of the project income, investment and costs, the variables are not mutually independent, but there is a correlation. Traditional economic evaluation methods tend to ignore the influence of parameter correlation, resulting in project evaluation deviations. In this article, we assume that oil prices obey geometric Brownian motion and mean-reverting stochastic process separately, taking into account the correlation between oil prices and operational costs, using the Monte Carlo model to simulate the project value and risk under different probability. The results show that if the linkage mechanism of the oil prices and operational costs is not considered, it is easy to overestimate the risk of the project, which leads to some feasible projects excluded.

As a special entrepreneurial group, university student enterprises have different psychological features, behavior characteristics and entrepreneurship environment, so they have different entrepreneurship competency relative to others groups. Based on competency model, by means of personnel assessment, the article established an entrepreneurship competency hypothetical model for application-oriented Universities’ students, and modified the model through statistical analysis and test.

In this paper, we focus on a dual-objective task of maximizing the airport throughput, efficiency, and reducing the inconvenience to travelers, fairness. Based on the real screening data collected, we construct a network model to make a precise analysis aiming to help figure out a set of efficient strategies. After evaluating the performance of these methods and taking feasibility into consideration, we find that modifying the group security process can improve the overall efficiency of the airport screening system while maintaining the good experience for each passenger.

In the economic transformation period, it is an important realistic choice for local government to accelerate developing its strategic emerging industries and to cultivation them into leading industries for revitalizing local economy and transforming economic increasing mode. In the context of “One Belt And One Road” strategy, how to choose strategic emerging industries will determine its future economic trends and development speed. This paper uses multi-level grey correlation evaluation method, and studies how to select its future strategic emerging industries relying on date of four industries such as health services, processing and manufacturing industry in 2015 Gansu statistical yearbook. This paper can provide the necessary theoretical reference for Gansu province to determine its future emerging industries.

The concept of “high quality” became more and more concerned in the world, the study of the “big quality” satisfaction evaluation is necessary, which is a basic work of macro quality management. This paper drew on the widely accepted ACSI model, expanded its range of application, and successfully constructed a new “big quality” satisfaction evaluation model. Based on this model, a “big quality” satisfaction evaluation system has been established. And then this study used Analytic Hierarchy Process to give weight to each evaluation index, so that the system can be used in empirical study in the further.

With the increasingly fierce market competition, the competition among enterprises has risen to brand competition. The brand competitiveness is essentially a different advantage beyond the competitors, which enable the enterprises to gain a sustainable competitiveness advantage and a stable development. So, in this paper, building a scientific and reasonable evaluation index system of brand competitiveness for enterprises, taking the liquor industry as an example, which helps to make a scientific and accurate evaluation for the enterprise brand competitiveness and provide a decision-making basis for building brand and enhancing the brand competitiveness for the enterprise.

This paper aims to propose efficient mathematical model of variance swap to study the effect of stochastic volatility in different time-scales on the option pricing. Two types of stochastic volatility, including Ornstein-Uhlenbeck (OU) process and Cox-Ingersoll-Ross (CIR) process are considered. Analytical solution of CIR model is presented. For the OU process, a numerical algorithm based on the finite element approach is established for solution of the model.

In this paper, the development of the times, scientific and technological progress has become the decisive factor of regional economic growth. As an important part of scientific and technological progress, University Science and technology has made important contributions to the regional economic development. The research shows that the rate of scientific and technological progress in Colleges and universities is 1.46%, the contribution rate of regional economic development is 10.09%, and its scientific research efficiency is about 3 times the efficiency of scientific research institutions and enterprises. Therefore, increasing the investment of scientific research funds in universities has a very important role in improving the efficiency of scientific research and promoting the rapid development of regional economy.

Facing of China’s manufacturing industry development status quo, this paper based on evolutionary game theory foundation and relationship between manufacturing enterprises and TPL to build game model of logistics outsourcing. Then this paper analyzes evolutionary game to get optimal strategies. It is in order to make game both sides to achieve maximum benefits. Finally, according to model results, this paper proposes strategies to enhance enthusiasm of outsourcing cooperation and promotes common development of manufacturing enterprises and TPL. It makes manufacturing companies respond quickly to markets and with high quality services meet individual needs of consumers.

With the computer vision technology in the image processing has been widely used, which for the automatic classification of fruit provides a research space. This paper mainly uses the method of computer vision, combined with the problem of grade quality detection of agricultural products in agricultural research hotspots. Taking tropical fruit of Hainan as the research object, taking mango as the experimental object, extracting the characteristics of fruit image, explore the differences in the external size and color of different types of fruits, and establish a visual quality inspection technology for tropical fruits based on computer vision.

This article analyzes supply chain contracts in a two-tier supply chain system consisting of two competing manufacturers and one retailer. The two manufacturers compete for the order of the only retailer in the downstream. While the manufacturer 1 and the retailer adopted the quantity discount contract and therefore playing the Stackelberg game between them, the other manufacturer – manufacturer 2 adopted a wholesale price contract with the retailer, and playing a bargaining game between them. We find that in the competitive scenario with various games, the quantity discount contract can further expand its superiority and effectively coordinate the supply chain with the presence of the Stackelberg-leader advantage. Quantity discount contract is more advantageous than wholesale price contract.

In order to evaluate the development level of the science and technology service industry in Shandong Province, the paper built a two-level index system, and then designed an evaluation model of the development level of science and technology service industry based on factor analysis which could effectively reduce the error of subjective factors and the weight of experts to determine, finally calculated the comprehensive evaluation score of the 17 cities and analyzed the influence factor.

We carry out regression analysis using data of 300 companies listed in China’s A-share market in 2015, and introduce the shareholdings of top ten shareholders and corporate current ratio in regression models as control variables. We reach the follow conclusions: in China, (1) gender and education background of a CEO and equity incentives have no significant impact on firm performance; (2) among China’s current A-share listed companies, excessive self-confidence does exist in CEOs, and has a negative impact on firm performance; (3) Corporate financing preference plays a partial mediator role in the relationship between CEO’s self-confidence and firm performance.

In particular, the reason when organisation competitors win business, is the gain of organisation sensitive and important data. This happen as results of having a local employee active as an agent inside the organisation or because of a persistent threat attack. The data sharing, data protection, data retention, data risk management, and personnel physical security are the responsibilities of the organisation Chief Security Officer (CSO), who solves the intellectual property theft problems before and when occurred, by combining approached of Information Risk Management (IRM) and Information Security Governance (ISG). In this paper, we propose a new novel security management approach that improve information security return of investment.

Urban rail transportation is trend of urban traffic development in the world. The utility model has advantages of high volume, high-speed, high security, and significant environmental protection. Government should give priority to establish an effective investment and financing mechanism to solve construction funding issues. For social benefits purpose, authors analyze and compare characteristics of London, Tokyo and Beijing in rail transit, investment and financing mode, summarize similarities and differences to establish investment and financing mode to meet Beijing city railway transit development, provides necessary background knowledge. This paper discusses policy direction and development trend of rail transportation construction investment and financing system transformation process in recent years. The authors propose future rail transit construction references in Beijing.

We propose an extension of CoVaR approach by employing the Asymmetric Exponential Power Distribution (AEPD) to capture the properties of financial data series such as fat-tailedness and skewness. We prove the new model with AEPD has better goodness-of-fit than traditional model with Gaussian distribution, which means a higher precision. Basing on the Chinese stock market data and the new model, we measure the contribution of 29 financial institutions in bank, security, insurance and other industries.

This paper discusses the relationship between expected volatility and liquidity preferences of open-end mutual fund. I use actively managed stock open-end mutual funds in Chinese market for empirical analysis and found that expected volatility is expected to affect liquidity preferences of mutual fund; not only that, managers will be expected to hold more liquidity assets in their portfolio when market fluctuates.

This paper taking Yangtze River Delta as an example, select Shanghai, Jiangsu province and Zhejiang province relevant data in 2004–2015; Use SPSS software run principal component analysis to research current situation of financial agglomeration in this three provinces (city); Through the establishment of panel data model, using least squares regression analysis, this paper studies the impact of fiscal expenditure on financial agglomeration in the Yangtze River Delta. The study shows that the fiscal expenditure of Yangtze River Delta has a significant positive correlation on financial Agglomeration. Then we put forward some suggestions for improving the status quo.

Decision making in the stock market is often made based on current events and the historical data analysis. In addition, related stock trends may affect investors’ future decisions. To extract such relationship between stocks, a proposed methodology applies data processing techniques on raw data collected from the Australian Stock Market, to provide investors another angle of view, comes with initiative potential connections analysis between listed corporations, which is based on pure mathematics computing.

The efficiency of assets allocation is essential to investment performance. To deal with the dynamic optimization of industry asset allocation, an improved algorithm (the Index Hierarchical Structure Algorithm, IHSA) is applied to 20 industry indexes according to different sample period, and proved to deduce stabilized industry categorizations. Then, a series of different size industry portfolios are constructed by the algorithm, and their monthly rate of returns are compared with 369 open-ended funds (including 263 growth funds and 106 index funds). The results indicate that the performance of each industry portfolio is better than most of the sample funds in the early sample period, especially than index funds. The algorithm provides a useful guidance for industry allocation and active asset management.

In strong noisy financial market, accurate volatility forecasting is the core task in risk management. In this paper, we apply GARCH model and a LSTM model to predict the stock index volatility. Instead of historical volatility, we select extreme value volatility of Shanghai Compos stock price index to conduct empirical study. By comparing the values of four types of loss functions, we illustrate that LSTM model has a better predicting effect.

This paper is aimed at exploring the improvement of hedging effect based on the theory of portfolio hedging, with multiple groups of CSI300 stock index futures and spot sample data as the analysis object. The minimum variance method is employed to estimate the optimal hedging ratio under the OLS and GARCH hedging models and calculate the average of the hedge ratios. By comparing the hedging effects of the constructed portfolio outside of samples based on different hedging ratios, the empirical analysis displays that the hedging effect of the average hedge ratio was superior to the hedging effect of the estimated hedge ratio of most individual historical samples. Therefore, the methodology supposed is deeply improved by considering the average value of the hedging ratio in order to optimize the optimal hedging ratio.

The online P2P lending is a creative and useful finance way for tiny enterprises who can conduct by the internet. To exclude the risk of this method, we make a study on predicting the potential lenders that may have a bad credit score. We use a classification method to perform this detection. Our experimental results show that this method can achieve a high precision.

In the era of big data, how to get effective data from the massive data, the data obtained by the relevant analysis and processing is particularly important. This paper first introduces the importance of data cleaning and data extraction technology, secondly from different angles, introduced the two technology, and then summarizes the current domestic and international data cleaning and data extraction technology research, and finally describes the data extraction and data cleaning technology development prospects. It has a certain guiding role in the research of data extraction and cleaning technology in the future.

In the context of Internet + and large data, the traditional automotive industry sales platform has been unable to meet the requirements of users of high quality services. How to use the online and offline large data, tap out the potential of potential customers, accurately capture the current needs of each customer, the accurate information through accurate channels to each other, as the current smart sales platform goals. Based on the current development of large data mining technology and the existing problems of automobile industry sales system, this paper gives the suggestions of intelligent sales platform based on large data mining.

For improving the accuracy of the SIFT matching algorithm with low time cost, this paper proposes a novel matching algorithm which is based on local neighborhood constraints, that is, SIFT matching feature is optimized by the local neighborhood constraint method in the SIFT algorithm. We optimize the matching results by using the information of SIFT feature descriptor and the relative position information of SIFT feature, then the final matching result obtained by RANSANC algorithm to filter the false matched pairs. The experimental results show that our method can improve the accuracy of the matching feature pairs without affecting the time cost.

With the increasing demand of wine consumption, the marketing of wine consumption is expanding. In this paper, we do a research about the decision behavior of Chinese wine consumers in order to grasp the consumption demand of wine at different prices better. We acquire 774 questionnaires finally, and the 528 of which are valid. According to the consumption prices, we divide wine consumers into three types. Then we propose a multi-class classification method named L-DAGLSSVM for constructing prediction model of consumption types, which is based on LDA and the directed acyclic graph least squares support vector machine (DAGLSSVM). The numerical experiments demonstrate that our algorithm gains better performance compared with other algorithms. And the prediction model plays an important role in commercial fields that it can provide an effective reference for the wine production, purchase and marketing strategies etc.

This paper proposed and developed a set of fuzzy time series prediction model FTSFM (Fuzzy Time Series Forecasting Model) based on the historical data, the concepts of fuzzy number function and inverse fuzzy numberInverse fuzzy number function and predictive function, which the basic theory of FTSFM was initially established. The general elements of FTSFM and the prediction function are FTSFM (μ). FTSFM (0.0004) is one of the commonly used prediction models of FTSFM. Based on the forecast of tourism revenue of Sanya city in 2006~2014, this paper introduces the whole process of the application of FTSFM (0.0004). FTSFM (0.0004) provides a new way of thinking for the research of time series prediction.

With the rapid development of mobile communication technology, “5G” era to speed up the pace, and large data age is surging from the times. Relational database is built on the relational model of the database, It uses mathematical concepts and methods to deal with the data in the database. In recent years. With the rise of web2.0, Data in the form of pictures, video and other forms of data storage was explosive growth, The existing data storage methods have been unable to meet the needs of the system. NoSQL’s distributed large data storage technology is widely used in cloud computing because of its scalability. Cloud storage of unstructured storage technology can alleviate the current unstructured data storage problems and improve the quality of unstructured data storage services. The evolution of cloud computing makes the importance and value of cloud databases increasingly visible, let us see the future of data storage development.

Just optimizing a single objective function or need to know the exact number of clusters in advance is the choice of most clustering methods. However, less knowledge of the data set to be clustered makes it difficult to select the appropriate number of clusters. Motivated by this, we propose an automatic multi-objective clustering based on hierarchical method (AMOH-Cluster), which can not only automatically calculate the optimal number of clusters but also divide all data sets properly based on intra-cluster data compactness and inter-cluster data connectivity. The proposed algorithm has advantages of providing higher clustering accuracy and requiring only a few parameters. As shown in the experiment, the comparison with the known multi-objective clustering algorithms proves that the proposed algorithm provides a solution with higher accuracy and optimal clustering number in various clusters of artificial data sets.

High frequency trading has been dominating finance industry recently. It brings big data and new problems in finance. How to estimate security volatility in high frequency trading remains a challenge in business analytics. In this study, we propose a novel section volatility estimation model and implement it via a big data analytics approach. The proposed method conquers the weakness of the conventional realized volatility by demonstrating the capability to capture both global and local behavior of volatility in the whole trading period besides robustness to the fine time intervals. To the best of our knowledge, this work is the first volatility study in high frequency trading by using big data analytics. It not only provides a fast and more accurate volatility estimation in high frequency trading, but also has its significance in finance theory and trading practice.

Variance is important for statistical description of a data set. Yet, the denominator of (n–1) in sample variance calculation confuses many Business English learners of statistics. In order to give learners an impressive instruction, a statistical simulation of population and sample variance calculation is designed with self-code Python program. The experimental simulation shows that the sample variances calculated with divisor of (n–1) are averagely closer to population variance than with n. The latter underestimates the population variance. The simulation offers an important explanation for statistics learners and can help them learn business statistics better.

According to the characteristics of Chinese medicine diagnosis and treatment of coronary heart disease and the need for mining, this paper will introduce the association rules mining, from the medical treatment of patients with all aspects of the disease and the basis of coronary heart disease diagnosis and treatment of Chinese medicine between the basis of digging out the law of Chinese medicine, the application of association rules algorithm, Get a series of rules of coronary heart disease syndrome, for the diagnosis and prevention of coronary heart disease provides an important basis for decision-making.

This paper collects 5865 spatial econometrics academic papers published in China National Knowledge Infrastructure(CNKI) in 2002 to 2017 as the research object, using the method of bibliometric analysis to analyze and sort out the trends and characteristics of domestic space econometrics research, and has developed out the hotspots of space econometrics research, hot institutions and popular authors in China. And draws the keyword co-occurrence network of space econometrics research, which has profound guiding significance for the further research and development of China’s space econometrics.

Football is a popular team sport, for which analyzing a team strategies can reveal useful information for understanding and improving a team’s performance. For this purpose, a promising approach is to analyze data collected about a match using data mining algorithms. However, designing such approach is not trivial as a football match involves both the time dimension and the spatial dimension. In this paper, a diagnostic analysis based approach is proposed, which consists of preparing data from a match by considering the spatial dimension and then extracting sequential rules from the data. The proposed approach is illustrated in a case study to analyze the match between Germany and Italy at the 2012 European Championship. Results of this study show that threatening offensive patterns from the Germany team are identified, illustrating complex interactions between players for performance analysis.

A fuzzy comparison operator was proposed to explore the fuzzy game. By comparing the fuzzy income of different strategy, the fuzzy equilibrium strategy was established based on a fuzzy comparison operator. At last the necessary and sufficient condition of the fuzzy equilibrium was discussed.

CiteSpace II is used to draw the scientific knowledge map of China’s business translation research. The literature of business translation studies from 2012 to 2016 in CNKI database are used as data source. Research on hotspots and fronts is realized by analyzing keywords frequency and burst terms. It is found that the research hotspots include Business English, cultural differences, translation techniques, and so on. Translation teaching is receiving more and more attention. The research fronts include Skopos theory, foreign business correspondence, metaphor, Business English translation teaching, higher vocational education and foreign trade English.

To improve the convenience and efficiency of nursing work, in order to better promote the nurses groups and the use of nursing care to break the limitations of the PDA. An objective and fair performance evaluation method was used to improve the working statistics module in mobile nursing system and to increase the information storage and transmission function of handheld mobile terminal (PDA), and to improve and optimize the mobile nursing system. After the optimization of the mobile care system, you can better promote the enthusiasm of the nursing work to improve, but also can improve the convenience of PDA use. The improvement of mobile nursing system improves the enthusiasm of nurses’ nursing work, enlarges the application scope of PDA, and promotes the process of digitization and informationization in medical field.

There are various emergencies including disaster relief, military actions, anti-terrorist and peace maintaining operation or occasional real-time information transmission in poor geological environments. Aiming at these, a mobile emergency optical access network system is proposed to achieve the seamless connection between mobile and fixed communications. After integrating various emergency demands, system technology indices, optical line termination (OLT) and optical network unit (ONU) technology indices are formulated. For systematic design, a PAS5001-NM3 chip is applied at OLT while a PAS6201-NM3 chip, multi-function interface technology fusing various device interfaces of links and dynamic bandwidth allocation (DBA) control technology are employed at ONU end. The test results show that the throughputs from the initiator to the target are 75.47 (transmission control protocol (TCP)) and 20.56 Mbps (user datagram protocol (UDP)), respectively. At different geographical locations in different areas, multi-service fulfillment trials such as voice, data, image and video are carried out separately at the transmission distances of 8, 10 and 18 km. The technology indices of the system all meet the design requirements with a stable network operation and normal signal transmission.

The MIMLSVM algorithm is to transform the MIML learning problem into a single-instance multi-label learning problem, which is used as a bridge to degenerate into a single-instance single-label learning. However, this degradation algorithm is relatively easy to understand, but in the degradation process will lose some information, affecting the classification effect. By using multi-tasking learning, E-MIMLSVM+ is used to combine tag relevance to improve the algorithm MIMLSVM+. In order to make full use of the unlabeled samples to improve the classification accuracy, the paper improves MIMLSVM algorithm by using the semi-supervised learning method. Experimental results show that the proposed method can achieve higher classification accuracy.

According to the students cannot do anything without mobile phone nowadays, the question of learning the “C language program design” course is increasingly serious, this paper has presented a series of methods of attracting students’ interest to improve the students’ ability of learning it. Firstly, arousing students’ attention to the C language, secondly, changing the “cramming” teaching method of the past by easy course, and reviewing the curriculumreviewing the curriculum appropriately, finally, choosing the appropriate code examplescode examples, drawing inferences, creating templates, and solving question by multi-answer to consolidate the teaching, and through the students’ homework and the method of fast compiling and debugging program to grasp the students’ learning interest of the course.

With the development of modern science, fractal theory has been become as a significant branch of Mathematics. Fractal theory mainly reveals that macroscopic and microscopic phenomenon has a startling similarity to one another. Koch curve looking like snowflake is one of a typical and strict fractal pattern. For good performance, the report uses a recursive algorithmRecursive algorithm to implement Koch curve on web platform with <canvas> element.

In order to comprehensively improve the level of information-based cadre management, increase the strength of cadre management and control of SGCC, State Grid Corporation of China started to build Cadre Management Information System-Phase I, II and III projects. Pre-Cadre Management Information System used state-province two class deployment and multi-level application. In this mode, the system deployment was too scattered, and didn’t match the goal of “Three Intensified Managements (in HR, Finance and materials), Five Large-Scale Movements (in Programming, Construction, Operation, Overhaul, and Production), and Two centers (Operation and monitoring center, Customer service center)”, especially in the intensive uses of resources, coordination across and through different departments, and information sharing. It was why to initiate the centralization deployment work. The proposal of centralization deployment of Cadre Management Information System is the guiding principal article, which indicate the way to build the system. The article introduces the overall infrastructure, deployment scheme and application integration scheme of the centralization deployment of Cadre Management Information System Proposal. The application results supported the rationality of centralization deployment of Cadre Management Information System.

For the 10 kV boundary switch controller reliability fault isolation boundary switch controller designed in this paper on the hardware of CPU dsPIC33EP512MU810 with high performance and special electric power quality measurement chip MCP3903, software gives a practical TDFT non synchronous sampling measurement method. The boundary switch controller judges the ground fault according to the first 1/4 cycle, zero sequence voltage and zero sequence current direction of the small current grounding.The master station is communicated with each boundary switch controller through the 4G network, and the boundary switch controller is managed and maintained so as to facilitate data management. The experimental results show that the design is accurate and reliable in separating user fault.

Smart phone has brought great convenience to our life. It has become an indispensable part of our life, and also has negative impact, such as mobile phone addiction. Mobile phone addiction will greatly impact youngsters in study and life. Due to excessive indulgence in or misuse of mobile phone, more and more youngsters indulge themselves in the virtual world created via mobile phone, and even get addicted, which has a serious negative effect on youngsters’ mentality, physiology, social relations, study and life. This study aims to summarize the concepts in relation to mobile phone addiction and measuring tools, with a view to providing a reference for learning about, understanding, researching, preventing and treating mobile phone addiction, and promoting physical and psychological health of youngsters.

High technology industry is the strategic and guiding industry of economic and social development; it is a core symbol of measure economic development level and competitiveness of a country or a region.This paper uses statistic data from 2000 to 2014, results show that High Technology Industry Competitiveness by industry and regional development are uneven from an empirical analysis.

This paper takes Weibo users as the research object, and extracts two dimensions from the point of view of user relationship: Micro-bo concern number, micro-blog fans number, and on this basis to generate fans rate indicator. Through the Python Network crawler to acquire and analysis data, this paper has obtained the exponential function model and cumulative distribution model of the fans rate distribution, and verified the correlation between fans rate and Weibo influence. It has higher practical application value.