• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.156-162
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• 2024

Humanity has gone since a long time through several pandemics; we cite H1N1 in 2009 and also Spanish flu in 1917. In December 2019, the health authorities of China detected unexplained cases of pneumonia. The WHO (World Health Organization) has declared the apparition of Covid-19 (novel Coronavirus). In data analysis, multiple approaches and diverse techniques were used to extract useful information from multiple heterogeneous sources and to discover knowledge and new information for decision-making. In this paper, we propose a multidimensional model for analyzing the Coronavirus Covid-19 data (spread and vaccination in European countries).

• Proceedings of the National Institute of Ecology of the Republic of Korea
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• v.2 no.2
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• pp.139-143
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• 2021

In this study, data repository information registered in re3data (re3data.org), a research data registry, was collected. Based on collected data, the current status was analyzed for 354 repositories (approximately 14% of total repositories) in the field using keywords in the ecological field suggested by two experts. Major metadata formats used to describe data in ecological research data repositories include Federal Geographic Data Committee Content Standard for Digital Geospatial Metadata (FGDC/CSDGM), Dublin Core, ISO 19115, Ecological Metadata Language (EML), Directory Interchange Format (DIF), Darwin Core, Data Documentation Initiative (DDI), and DataCite Metadata Schema. The number of ecological repositories according to country is 102 in the US, 34 in Germany, 31 in Canada, and one in Korea. A total of 771 non-profit organizations and 12 for-profit organizations are involved in the construction of the ecological field research data repository. Data version control ratio of the ecological field research data repositories registered in re3data was analyzed to be somewhat higher (86.6%) than the total ratio (83.9%). Results of this study can be used to establish policies to build and operate a research data repository in the ecological field.

• Journal of Korean Society of Archives and Records Management
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• v.18 no.1
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• pp.101-127
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• 2018

The systematic management of research data is vital because it increases research data's value for research reproduction, verification, and reusability. Standard metadata will play a key role in research data registration, management, and data extraction. Research data has various structural relationships, such as research, research data, data sets, and files, and associated with entities such as citations and research results. The study proposes an ontology model for research data management. It also suggests the application of ontology to NTIS. Previous studies, metadata standard analyses, and research data repository case studies were conducted.

• Asian Pacific Journal of Cancer Prevention
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• v.14 no.8
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• pp.4705-4709
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• 2013

Background: Cambodian Americans have high rates of chronic hepatitis B virus (HBV) infection and liver cancer. There is very limited information about the utility of community health worker (CHW) approaches to cancer education for Asian American men. We have previously reported our positive findings from a trial of CHW education about HBV for Cambodian Americans who had never been tested for HBV. This report describes similarities and differences between the outcomes of our CHW HBV educational intervention among Cambodian American men and women. Methods: The study group for this analysis included 87 individuals (39 men and 48 women) who were randomized to the experimental (HBV education) arm of our trial, participated in the CHW educational intervention, and provided follow-up data six months post-intervention. We examined HBV testing rates at follow-up, changes in HBV-related knowledge between baseline and follow-up, and barriers to HBV testing (that were reported to CHWs) by gender. Results: At follow-up, 15% of men and 31% of women reported they had received a HBV test (p=0.09). HBV-related knowledge levels increased significantly among both men and women. With respect to HBV testing barriers, women were more likely than men to cite knowledge deficits, and men were more likely than women to cite logistic issues. Discussion: Our study findings indicate that CHW interventions can positively impact knowledge among Cambodian American men, as well as women. They also suggest CHW interventions may be less effective in promoting the use of preventive procedures by Cambodian American men than women. Future CHW research initiatives should consider contextual factors that may differ by gender and, therefore, potentially influence the relative effectiveness of CHW interventions for men versus women.

• Journal of Digital Convergence
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• v.17 no.8
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• pp.141-148
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• 2019

Based on the theory of information ecology, this paper conducts a quantitative analysis on the research literature of e-commerce ecosystem in China, and clarifies the research hotspots and development trends, so as to provide reference for subsequent studies. With the key words related literatures collected by CNKI as the data source, and the software CiteSpaceIV is used to draw a visual knowledge map, the distribution of e-commerce ecosystem research papers in China is statistically analyzed by econometric analysis method, and literature research is summarized and evaluated. The research results show that previous studies mainly focus on the concept of e-commerce ecosystem, and there are relatively few research results on the construction and evolution mechanism of e-commerce ecosystem, so the depth and breadth of research should be expanded. Applying the concept of e-commerce ecosystem to solve the problems in cross-border e-commerce will be the future research trend.

• Journal of Korea Multimedia Society
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• v.25 no.8
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• pp.1242-1250
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• 2022

When recommending cold items that do not have user-item interactions to users, even we adopt state-of-the-arts algorithms, the predicted information of cold items tends to have lower accuracy compared to warm items which have enough user-item interactions. The lack of information makes for recommender systems to recommend monotonic items which have a few top popular contents matched to user preferences. As a result, under-diversified items have a negative impact on not only recommendation diversity but also on recommendation accuracy when recommending cold items. To address the problem, we adopt a diversification algorithm which tries to make distributions of accumulated contents embedding of the two items groups, recommended items and the items in the target user's already interacted items, similar. Evaluation on a real world data set CiteULike shows that the proposed method improves not only the diversity but also the accuracy of cold item recommendation.

• Proceedings of the Computational Structural Engineering Institute Conference
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• 2007.04a
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• pp.199-204
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• 2007

This research aimed at to develop a quantitative assesment technique which uses the measured displacements at the excavated plane during tunnel construction. Tunnel structure has a feature with long extents comparing to the excavated section so that the tunnel safety assesment is more effective by using the measured data of displacements. Tunnel structures show different structural behaviors due to the mechanical characteristics of ground and supports themselves, excavation methods and construction methods of supports, etc. From this point of view, it has very important meanings on the practical aspects that the measured data from the construction cite represent the features of the interaction effects between ground and supports as they are. In this study, both the stress state and the properties of surrounding ground are analyzed by newly incorporated feedback analysis technique which can use the measured displacements directly. Then, the stress state and the properties of ground will be used to obtain the strain distribution of surrounding ground. Finally the tunnel safety can be assessed by comparing the estimated strain through the analysis to the allowable strain of ground quantitatively.

• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.823-826
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• 2007

In the construction project, the efforts to use IT for efficient management and improvement of productivity is gradually increasing. For instance, the cite management model with 3D CAD and RFID shows one of efforts this model define and systematize a variety of data occurred each work unit(design, material and process management information, etc). However, so far, there has been the problem monitoring the site due to the an inaccurate data and low-practice which people should input in manual. In this paper, we would like to establish the data for real time monitoring system with data inputting automatically from RTPM system and the site, and analyze the relationship between tables consist of similar data through RED Diagram.

• Journal of Information Science Theory and Practice
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• v.7 no.1
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• pp.29-38
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• 2019

Information retrieval is the challenge of the Web 2.0 world. The experiment of knowledge organisation in the context of abundant information available from various sources proves a major hurdle in obtaining information retrieval with greater precision and recall. The fast-changing landscape of information organisation through social networking sites at a personal level creates a world of opportunities for data scientists and also library professionals to assimilate the social data with expert created data. Thus, folksonomies or social tags play a vital role in information organisation and retrieval. The comparison of these user-created tags with expert-created index terms, author keywords and title words, will throw light on the differentiation between these sets of data. Such comparative studies show revelation of a new set of terms to enhance subject access and reflect the extent of similarity between user-generated tags and other set of terms. The CiteULike tags extracted from 5,150 scholarly journal articles in marine science were compared with corresponding Aquatic Science and Fisheries Abstracts descriptors, author keywords, and title terms. The Jaccard similarity coefficient method was employed to compare the social tags with the above mentioned wordsets, and results proved the presence of user-generated keywords in Aquatic Science and Fisheries Abstracts descriptors, author keywords, and title words. While using information retrieval techniques like stemmer and lemmatization, the results were found to enhance keywords to subject access.

• Korean Journal of Human Ecology
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• v.9 no.2
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• pp.53-63
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• 2006

The purpose of this study is to analyze the background and characteristics of fashion in wanna-be phenomenon. The primary source of data has been a collection of recent books, news repots, many articles from various kinds of mass media and fashion internet cite. The results of this study can be summarized as follow. First, The wanna-be phenomenon can be divided the background into three parts : change to entertainment society, increase of mass consumption, increase mutual communication with star and fan. Second, the function of fashion in wanna-be phenomenon can be divided with the following: the function of self-expression, guide book of trendy lifestyle, and play for pleasure. Third, fashion style in wanna-be phenomenon can be divided with the following : chic & gorgeous style, sexy casual & chav style, bohemian mix & match style.