• Journal of Engineering Education Research
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• v.15 no.4
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• pp.101-108
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• 2012

The purpose of this study is to infer how is the effect of a governmental funding project to graduate schools by taking an example of World Class University Project's potential impact on the change of world university rankings in an international university ranking survey. Systematic results show that WCU contributes to improving academic peer reviews for both individual and institutional standings and discipline-based rankings. The potential effect of improving world rankings of participating universities could be ascribed to relatively higher weight of the survey to international peer review and invitation of world class scholars to the participating universities, which is a core device of the project. This implies a need to affirmatively utilize WCU foreign scholars over the course of facilitating international academic networking. The results should also be taken into consideration by universities and the government when developing evaluation systems and restructuring the project.

• International Journal of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.52-57
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• 2022

In this study, keywords from representative online portal sites such as Naver, Google, and Youtube were collected based on text mining analysis technique using Textom to check the changes in metqaverse after COVID-19. before Corona, it was confirmed that social media platforms such as Kakao Talk, Facebook, and Twitter were mentioned, and among the four metaverse, consumer awareness was still concentrated in the field of life logging. However, after Corona, keywords from Roblox, Fortnite, and Geppetto appeared, and keywords such as Universe, Space, Meta, and the world appeared, so Metaverse was recognized as a virtual world. As a result, it was confirmed that consumer perception changed from the life logging of Metaverse to the mirror world. Third, keywords such as cryptocurrency, cryptocurrency, coin, and exchange appeared before Corona, and the word frequency ranking for blockchain, which is an underlying technology, was high, but after Corona, the word frequency ranking fell significantly as mentioned above.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.113-115
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• 2003

The electric power industry throughout the world is undergoing considerable changes from the vertically integrated utility structure to the deregulated market. However, the deregulated electricity market is operated with respect to theory of economical efficiency, and therefore, the system operator requires data with fast contingency ranking for security of the bulk power system. This paper presents fast calculation method for determining contingency ranking using the weather dependant probabilistic risk index(PRI). The probabilistic risk index can be classified into normal weather and adverse weather. This paper proposes calculation method using the probabilistic risk index in determining contingency ranking requiring for security under the deregulated electricity market.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.49-58
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• 2021

Globalization of higher education deepens the competition in the global educational services market. Competition between higher education institutions is based on the use of a wide range of activities and tools that are constantly evolving and becoming more complex. Digitalization significantly transforms the approaches to competition between universities in educational, research and marketing activities. Digital technologies are becoming an integral part of this competition. In addition, in the current conditions of globalization of the scientific and educational space, numerous rankings of universities have become an important tool of the competition; the most significant rankings of universities are as follows: Academic Ranking of World Universities (China), Times Higher Education Rankings of Universities (Great Britain), Webometrics (Spain). In the article, the key principles of the formation of world rankings of universities are analyzed, the main sources of information resources for their compilation are determined. The authors have concluded that the improvement of the position of educational institutions in the world rankings of universities should be implemented within the framework of the state educational policy. The key positive effects of universities due to increasing the competitiveness level of the national higher education system are specified.

• International Journal of Advanced Culture Technology
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• v.5 no.4
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• pp.51-56
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• 2017

In every Summer and Winter, there open soccer transfer markets. And these markets draw huge attention from soccer fans and other ordinary people all around world. This phenomenon might indicate great interest of people from the amount of news, blog articles, public messages and replies from online community and forums about popular players and clubs of many leagues. Especially, transfer markets in the year 2017 have generated many gossips than before. In this research, we performed keyword analysis and ranking of news and messages collected and analyzed from online news sites and online forum sites, in order to investigate who and what clubs are mainly discussed.

• Journal of applied mathematics & informatics
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• v.15 no.1_2
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• pp.333-341
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• 2004

In the real world there are many linear programming problems where all decision parameters are fuzzy numbers. Several approaches exist which use different ranking functions for solving these problems. Unfortunately when there exist alternative optimal solutions, usually with different fuzzy value of the objective function for these solutions, these methods can not specify a clear approach for choosing a solution. In this paper we propose a method to remove the above shortcoming in solving fuzzy number linear programming problems using the concept of expectation and variance as ranking functions

• Journal of the Korea Society of Computer and Information
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• v.21 no.1
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• pp.9-16
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• 2016

In this paper, we present a performance evaluation agent based on fuzzy cluster analysis and validity measures. The proposed agent is consists of three modules, fuzzy cluster analyzer, performance evaluation measures, and feature ranking algorithm for feature selection step in CAD system. Feature selection is an important step commonly used to create more accurate system to help human experts. Through this agent, we get the feature ranking on the dataset of mass and calcification lesions extracted from the public real world mammogram database DDSM. Also we design a CAD system incorporating the agent and apply five different feature combinations to the system. Experimental results proposed approach has higher classification accuracy and shows the feasibility as a diagnosis supporting tool.

• The Korean Journal of Applied Statistics
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• v.32 no.5
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• pp.763-782
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• 2019

This paper proposes a probabilistic document ranking model incorporating term dependencies. Document ranking is a fundamental information retrieval task. The task is to sort documents in a collection according to the relevance to the user query (Qin et al., Information Retrieval Journal, 13, 346-374, 2010). A probabilistic model is a model for computing the conditional probability of the relevance of each document given query. Most of the widely used models assume the term independence because it is challenging to compute the joint probabilities of multiple terms. Words in natural language texts are obviously highly correlated. In this paper, we assume a multinomial distribution model to calculate the relevance probability of a document by considering the dependency structure of words, and propose an information retrieval model to rank a document by estimating the probability with the maximum entropy method. The results of the ranking simulation experiment in various multinomial situations show better retrieval results than a model that assumes the independence of words. The results of document ranking experiments using real-world datasets LETOR OHSUMED also show better retrieval results.

• Asian Pacific Journal of Cancer Prevention
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• v.17 no.9
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• pp.4323-4326
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• 2016

Background: The cancer mortality-to-incidence ratio (MIR) has been established as an important measure of health disparities in local and global circumstances. Past work has corroborated a linkage between the colorectal cancer MIR and the World Health Organization (WHO) Health System ranking. The literature further documents many Asian countries having incomplete cancer registries and a lack of comprehensive colorectal cancer screening guidelines. Materials and Methods: The colorectal cancer MIR values for 23 Asian countries were calculated from data obtained from the 2012 GLOBOCAN database. The 2000 World Health Organization (WHO) Health System rankings were used as a proxy for health system infrastructure and responsiveness. A regression equation was calculated with the MIR as the dependent variable and the WHO Health System ranking as the independent variable. Predicted MIR values were next calculated based on the regression results. Actual MIR values that exceeded 0.20 from the predicted MIR were removed as 'divergent' points. The regression equation was then re-plotted. Goodness-of-fit for both regressions was assessed by the R-squared test. Results: Asian countries have a relatively wide colorectal cancer MIR range, from a minimum of 0.24 to a maximum of 0.86. For the full dataset, the adjusted R-squared value for this regression was 0.53. The equation was then used to calculate a predicted MIR, whereby two data points were identified as 'divergent' and removed. The adjusted R-squared for the edited dataset increased to 0.66. Conclusions: Asian countries have a marked range in their colorectal cancer MIR values and there is a strong correlationwith the WHO Health System ranking. These results corroborate the contribution of the MIR as a potentially robust tool in monitoring changes in colorectal cancer care for Asian nations.

• Journal of Korea Port Economic Association
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• v.35 no.1
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• pp.117-138
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• 2019

This paper examines Korea's top 30 authors, in the maritime transportation field to compare their world ranking. The analysis covers the affiliation of the authors and their articles published in 65 SSCI and SCI journals on maritime and transportation over a 16-year period (2000-2015). The following three indicators are used for ranking: number of papers; the weighted score that reflects the contribution of the authors; and the impact score, which considers the impact factor. The two most active two schools are Pusan National University and Inha University. Star players are deemed to have contributed greatly to boosting the ranking of their affiliated institution. The institutions that are located in a city that is a seaport show higher research outcomes. Because of the fall in the proportion of Korean papers in the total papers published globally on maritime transportation, the country's future rankings are likely to suffer.