• Journal of KIISE:Software and Applications
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• v.36 no.7
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• pp.580-589
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• 2009

Today, most web pages are being created in the blogspace or evolving into the blogspace. A blog entry (blog page) includes non-traditional features of Web pages, such as trackback links, bloggers' authority, tags, and comments. Thus, the traditional rank algorithms are not proper to evaluate blog entries because those algorithms do not consider the blog specific features. In this paper, a new algorithm called "Blog-Rank" is proposed. This algorithm ranks blog entries by calculating bloggers' reputation scores, trackback scores, and comment scores based on the features of the blog entries. This algorithm is also applied to searching for information related to the users' queries in the blogspace. The experiment shows that it finds the much more relevant information than the traditional ranking algorithms.

• Journal of KIISE
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• v.45 no.1
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• pp.61-68
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• 2018

The identification of genes that contribute to the prediction of prognosis in patients with cancer is one of the challenges in providing appropriate therapies. To find the prognostic genes, several classification models using gene expression data have been proposed. However, the prediction accuracy of cancer prognosis is limited due to the heterogeneity of cancer. In this paper, we integrate microarray data with biological network data using a modified PageRank algorithm to identify prognostic genes. We also predict the prognosis of patients with 6 cancer types (including breast carcinoma) using the K-Nearest Neighbor algorithm. Before we apply the modified PageRank, we separate samples by K-Means clustering to address the heterogeneity of cancer. The proposed algorithm showed better performance than traditional algorithms for prognosis. We were also able to identify cluster-specific biological processes using GO enrichment analysis.

• 한국해양학회지
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• v.4 no.1
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• pp.1-8
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• 1969

Phytoplankton samples, collected about twenty day interval on May of 1967, at same twenty-one stations located in the north-eastern Korea Strait were examined in an attempt to determine the specific distribution and abundance of phytoplankton. Water bottle samples preserved with neutralized formula were used for the phytoplankton study. In May, water temperature and salinity show both lower at the sea of Korea side than that of Japan side, and both indicate gradually higher to the sea of Japan side. Fourty-six species of diatoms and three species of dinoflagellates in early May, and thirty-six species of diatoms and six species of dinoflagellates in the May were detected. Among them thirty species of diatoms and two species of dinoflagellates were appeared commonly in both cruise. Chaetoceros curvisetus and Rhizosolenia castracanei were wide distributed species, and Leptocylindrus danicus was the most numerous species at this sea in May. In generally, the sea of Korea side was more rich in species and numbers of phytoplankton.

• Journal of the Korea Society of Computer and Information
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• v.18 no.11
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• pp.31-38
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• 2013

Feature normalization as a pre-processing step has been widely used in classification problems to reduce the effect of different scale in each feature dimension and error as a result. Most of the existing methods, however, assume some distribution function on feature distribution. Even worse, existing methods do not use the labels of data points and, as a result, do not guarantee the optimality of the normalization results in classification. In this paper, proposed is a supervised rank normalization which combines rank normalization and a supervised learning technique. The proposed method does not assume any feature distribution like rank normalization and uses class labels of nearest neighbors in classification to reduce error. SVM, in particular, tries to draw a decision boundary in the middle of class overlapping zone, the reduction of data density in that area helps SVM to find a decision boundary reducing generalized error. All the things mentioned above can be verified through experimental results.

• Journal of the Korea Convergence Society
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• v.12 no.5
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• pp.71-77
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• 2021

The present study aimed to find out how the trunk muscles, which are mainly used in Cardio-Pulmonary Resuscitation, affect chest compression through plank exercise. Study subjects participated in a 12-week program, and subjects performed only chest compressions for 8 minutes. Regarding their change in a muscle mass by plank exercise, there was a statistically significant difference in the change from 4th to 8th week after the program(p<.01). The muscle activity change had a statistically significant difference from 3rd to 10th week(p<.01). The chest compression depth had a statistically significant difference from 4th to 8th week(p<.01). In addition, insufficient chest relaxation height after compression had a statistically significant difference from 4th to 10th week(p<.01). The chest compression maintenance time had a statistically significant difference from 2nd to 12th week(p<.01). The participants' muscle mass and muscle activity increased more after their participation in plank exercise program than before. All chest compression factors except for chest compression rate brought about positive results.

• Proceedings of the Korean Information Science Society Conference
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• 2012.06a
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• pp.98-100
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• 2012

모바일 웜의 전파 속도는 시간이 지날수록 급격히 빨라진다. 급속도로 전파하는 웜을 억제하기 위한 연구가 계속 진행되어 왔다. 기존 연구 중 하나로 소셜 네트워크를 그래프(Graph)로 표현하고 분할한 뒤 각 파티션의 대표노드(Key Node)를 선택해 웜 패치를 전파하는 기법이 있다. 이 기법은 패치 전파 속도를 웜 전파 속도보다 빠르게 해서 웜을 억제 시킨다. 하지만 이 기법에서는 대표노드에 가중치(Weight)가 낮은 간선(Edge)이 연결 될 수 있거나 대표노드가 없는 파티션이 생길 수 있다. 잘못된 대표노드 선정은 패치 전파속도를 저하시키고 웜 억제를 지연시킬 수 있다. 본 논문에서는 페이지랭크를 이용해서 대표노드를 선정하는 개선된 소셜 네트워크 기반의 웜 패칭 기법을 제안한다. 제안 기법은 웜 패칭 전략에 사용할 수 있도록 수정한 페이지랭크를 각 파티션에 적용해서 대표노드를 선정한다. 파티션마다 전파 능력이 가장 높은 노드가 대표노드로 선정되기 때문에 웜 패치 전파 속도를 향상시킬 수 있다.

• Korean Journal of Comparative Education
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• v.27 no.4
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• pp.187-209
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• 2017

The purpose of this study was to highlight the necessity of a conceptual reestablishment of world university evaluations. The hitherto most well-known and validated world university evaluation systems such as Times Higher Education (THE), Quacquarelli Symonds (QS) or Academic Ranking of World Universities (ARWU) primarily assess big universities with quantitative evaluation indicators and performance results in the rankings. Those Systems have instigated a kind of elitism in higher education and neglect numerous small or local institutions of higher education, instead of providing stakeholders with comprehensive information about the real possibilities of tertiary education so that they can choose an institution that is individually tailored to their needs. Also, the management boards of universities and policymakers in higher education have partly been manipulated by and partly taken advantage of the elitist ranking systems with an economic emphasis, as indicated by research-centered evaluations and industry-university cooperation. To supplement such educational defects and to redress the lack of world university evaluation systems, a new system called 'U-Multirank' has been implemented with the financial support of the European Commission since 2012. U-Multirank was designed and is enforced by an international team of project experts led by CHE(Centre for Higher Education/Germany), CHEPS(Center for Higher Education Policy Studies/Netherlands) and CWTS(Centre for Science and Technology Studies at Leiden University/Netherlands). The significant features of U-Multirank, compared with e.g., THE and ARWU, are its qualitative, multidimensional, user-oriented and individualized assessment methods. Above all, its website and its assessment results, based on a mobile operating system and designed simply for international users, present a self-organized and evolutionary model of world university evaluation systems in the digital and global era. To estimate the universal validity of the redefinition of the world university evaluation system using U-Multirank, an epistemological approach will be used that relies on Edgar Morin's Complexity Theory and Karl Popper's Philosophy of Science.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2015.11a
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• pp.275-281
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• 2015

• 한국상하수도협회지
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• s.13
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• pp.24-25
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• 2006

• Journal of the korean veterinary medical association
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• v.5 no.2
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• pp.58-60
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• 1961