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Aimed at abnormal score from evaluation experts, real data from Shanghai double-blind sampling system of graduate dissertation and thesis between 2013 and 2014 have been in depth analysis and mining. Some basic judgment rules of abnormal score are summed up, and monitoring model for abnormal score is proposed. By the least squares method and the multiple regression models, the equation of monitoring...
The health degree of large distributed information system reflected from the business perspective is the core index to measure the stability of information system. It has significant meaning for the fault diagnosis of any information system. To solve the above problems, a knowledge representation method based on weighted fault diagnosis is proposed in this paper. Based on the knowledge representation...
An energy-efficient association control algorithm for wireless networks is proposed. Both the wake-sleep switch of each base station and the resource reservation overhead of its neighboring base stations are considered as factors to impact the base station on-off switch decision and the user association. The simulation results show that the overall system energy consumption can be reduced thanks to...
We addressed two areas of concern regarding the analysis of a financial time series with a correlation structure, coarse graining (or renormalization) and the extraction of leading and lagging structures. We introduce the complex Hilbert principal component analysis to solve these two problems, and apply them to the time series of 33 Tokyo Stock Exchange industry indices and Tokyo Stock Price Index...
This paper analyzed the relationship between Networked Readiness Index and Global Competitiveness Index published by the World Economic Forum through regression model. It is verified that the global competitiveness of a country is closely related to its degree of informatization. So in the context of China's “new normal”, keeping rapid development in information technology may help China to keep the...
A rapid development of E-Commerce platforms has allowed retailers to introduce online product recommendations to persuade consumers purchase decisions. Recommendations system in E-Commerce can be implemented through development of opinion review or feedback system. The visibility of opinion review as a persuasive communication tool in recommendation context has been proven as an important role in...
Electric power SDH network is a comprehensive communication network, which takes advantages of SDH technology, and is a widely used technology. How to protect the network more effectively is the concern of the operators. So the main purpose of this paper is to find a way to analysis risk in advance and enhance reliability of electric power SDH network. Firstly, we set up an evaluation index system...
Self-promoting plays an essential role for virtual community evolvement. To derive self-promoting and informative social network, we investigate fundamental services that drive the evolvement of social network, and propose the design and implementation of adaptive social network in this work. Our adaptive social network framework integrates content, community, communication and self-branding services...
The adjustment of global power structure will have effects on business model of power contracting service industry. According to the research scheme of “characteristic analysis-current situation analysis-mode selection” firstly, we adopt concentration rate index to summarize market characteristics. Then, to clarify current situation of power market development, it analyzes the influencing factors...
China's Internet has been over 30 years of development, but there are still many problems. According to China's 2011–2015 correlation data, the evaluation index system of internet gaps established. A clustering is on the current situation of the development of Internet of China's 31 provinces and regions. The digital divide phenomenon focus on Internet development indicators measuring is obvious in...
Presents the research results in efficiency assessment of contactless technologies of fare payment implementation on public transport. The project effectiveness assessment methodology has been developed on the synthesis method basis of expert assessments and prof. A. Egorshin's methods. The methodology allows to evaluate several effect types from the project implementation and to perform calculations...
In the emerging field of big data, a large volume of data has to be managed, operating on data of huge volume becomes easier when it's sorted and structured. The data can be structured using a simple algorithm i.e. index algorithm which stores and categories data on basis of their application. This in turn will be very beneficial on business level as well as on software level.
Virtual Power Plant (VPP) have been proposed as an effective way to aggregate large portfolios of Distributed Energy Resources (DERs) and coordinate them to behave as a single functional unit in both the network and the market. This research narrative proposes that business models that can combine Internet platforms such as Peer-to-peer networks, with VPP to collectively manage DERs, are ideal systems...
The popularity of intelligent big data era in the community, making online shopping behavior play a more and more important role in the e-commerce model. This paper evaluated the operation efficiency of the electric business group buy site scientifically by puts forward the improved rough set method and fuzzy comprehensive evaluation method. First, on the basis of the analysis of the influence factors...
Using Baidu thermal diagram big data, analyzed the spatial and temporal behavior of Wuyi square, by applying spatial clustering, nuclear density analysis, spatial superposition and other spatial quantitative analysis method, verify and explain this time and space dynamic changes of internal factors. According to the analysis, under the support of Baidu thermal diagram big data, the dynamic changes...
For the existing assessment methods, there are many weakness like the complex process, the high cost and the mismatching between experts and the projects, which have an significant effect on the scientificity and efficiency. In this study, an online assessment system was proposed based on lightweight composite framework Spring+Struts+iBATIS. This system can voluntarily select the auto fit experts...
Software clustering techniques have been studied and applied to analyze and visualize the actual structure of legacy applications, which have used program information, e.g., dependencies, as input. However, business data also play an important role in a business system. Revealing which programs actually use data in the current system can give us a key insight when analyzing a long-lived complicated...
This paper aims to study factors influencing trust and purchase intention on the Internet, develop model of trust and purchase intention by empirical data, and analyze path of antecedents influencing purchase intention. This study identifies the factors proposed in the existing social commerce constructs: recommendation and referrals, rating and reviews, forums and communities, together with three...
Increasing the innovativeness of a country is a known way to uplift its people, but how to increase the innovativeness of a country is not well understood. In this paper, we develop such an understanding by analyzing time series of global competitiveness index data and of development indicators data. Specifically, we estimate causative factors of innovation that countries can invest in or otherwise...
State Governments across the globe have an ambitious plan to transform the existing and new cities into “SMART CITY” with very objective to make cities “Livable”, “Reliable”, “Safe”, and “Comfortable” for citizens. Smart Grid is an inherent and integral part of the Smart City Program. Smart Grid in Smart City ensures Reliable, Safe and Quality Power 24/7 to its citizens at reasonable rates. However...
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