• Journal of Korean Traditional Oncology
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• v.10 no.1
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• pp.1-45
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• 2005

많은 암 환자들이 보완대체의학(CAM)의 치료법을 이용한다. 의사들은 보완대체의학 치료법에 대한 권위 있는 정보들을 이를 찾는 환자들에게 책임 있는 조언을 줄 수 있기 위해 필요로 한다. 이 글은 암 환자에게 일반적으로 사용되는 선택된 보완대체의학 치료법의 효과와 안정성에 대한 최근의 증거를 요약했다. 식이요법과 보조식품, 한약 및 기타 생약제재, 침, 마사지, 운동, 심리 및 심신의학 등의 주요 카테고리가 포함되었다. 효과의 증거에 대한 '가능한 질병진행과 생존율에 대한 효과' 및 '가능한 완화효과'의 두 가지 범주가 고려되었다. 안전성의 증거를 평가하는데 있어 '직적접인 부작용의 위험'과 '통상적 치료법과의 상호작용에 의한 위험'의 두 가지 위험 요소가 고려되었다. 각각의 치료에 있어 효용성과 안정성에 대한 현재의 균형은 이 치료법이 적절히 권고가 되고 수용되어지거나(예를 들어 유방암과 전립선암을 가진 영양 섭취가 충분한 환자의 식이지방 감소) 억제되는 것을(예를 들어 과량의 비타민 A 보조제) 제시한다. 이러한 전략은 보완대체의학의 치료법을 찾는 암환자들에게 책임 있고 근거중심적이고 환자중심적인 조언을 제공하는 것을 발전시킬 수 있다.

• 한국HCI학회:학술대회논문집
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• 2007.02b
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• pp.541-547
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• 2007

최근 디지털 컨텐츠의 기하급수적인 증가와 함께 사용자가 접하고 관리해야 하는 파일의 양이 급격히 늘어나고 있으며 이에 따라 폴더의 계층구조가 넓고 깊어지는 현상이 나타나고 있다. 현재 파일시스템은 크게 두 가지 형태로 나누어 볼 수 있는데, 사용자 자신에게 의미 있는(semantic) 계층구조(hierarchical structure)형태의 폴더 내에 파일을 저장하는 방식과 Meta Tag를 사용한 방식이다. 이러한 두 가지 파일시스템을 사용자가 인식하고 Conceptual Model을 형성해 가는 과정에 있어서 사용자의 지리적, 역사적 전통 등의 문화적 요소들이 기저에서 작용하게 된다. 본 연구에서는 각기 다른 문화적 성향을 가지고 있는 사용자 간의 File System을 인식하고 구조화하는데 있어서 차이점이 있을 것이라는 가설을 수립 하였고, 가설을 검증하기 위하여 파일 시스템의 사용 행태를 분류하고, 이러한 행태들이 사용자의 문화적 요소에 따라 어떠한 차이를 보이는지에 대하여 페이퍼 프로토타이핑 등의 기법을 사용하여 실험을 설계 하였다. 또한 이러한 연구모델의 검증을 위하여 파일럿 테스트를 진행하여 실효성 있는 가설검증방법에 대한 모델을 제안하고자 한다.

• Journal of the Korean Society for information Management
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• v.35 no.3
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• pp.11-39
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• 2018

The study examines the research trends of doctoral dissertations in Library Science and Information Science published in the U.S. for the last 5 years. Data collected from PQDT Global includes 1,016 doctoral dissertations containing "Library Science" or "Information Science" as subject headings, and keywords extracted from those dissertations were used for a network analysis, which helps identifying the intellectual structure of the dissertations. Also, the analysis using 103 subject heading keywords resulted in various centrality measures, including triangle betweenness centrality and nearest neighbor centrality, as well as 26 clusters of associated subject headings. The most frequently studied subjects include computer-related subjects, education-related subjects, and communication-related subjects, and a cluster with information science as the most central subject contains most of the computer-related keywords, while a cluster with library science as the most central subject contains many of the education-related keywords. Other related subjects include various user groups for user studies, and subjects related to information systems such as management, economics, geography, and biomedical engineering.

• 재활복지
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• v.21 no.1
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• pp.1-26
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• 2017

The main purpose of this paper is identifying the trends of researches in the realm of social welfare for disabled people. It tries to introduce an alternative analytic approach - key word network analysis - that might surpass the shortage of analysis methods of existing studies which have mainly relied on descriptive analysis. For this purpose the authors constructed a database composed of key words and informations about research methods of the data sources of this study. The sources are such researches as doctoral theses and the papers of Korean Journal of Social Welfare and Journal of Rehabilitation Research which were published during the 20 years from 1996 to 2015. Total numbers of the thesis or papers analysed at this study are 1,034. The results are shown in three ways as follows: First, the method trends of selected researches. Second the lists of interested types and population groups of the disabled persons and interested issues. Third, the intellectual structure of the research. Based on the findings of this study, some suggestions are given considering desirable directions of future researches in relation to perspectives, methods, targets and subjects of them.

• Journal of The Korean Association of Information Education
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• v.17 no.1
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• pp.53-61
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• 2013

The proximity web 2.0 has in our daily life changes in the way we educate ourselves occur naturally. New generations of learners naturally study and utilize web 2.0 as part of general life, so they require an education method which considers this characteristic. One such method, WIKI Based Cooperation Learning has recently been studied. The object of this study is to establish any relationship between learners attitude and academic achievements when implementing WIKI Based Cooperation Learning in the subject of social studies.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.29 no.3
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• pp.41-63
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• 2018

This study aimed at analyzing journals and index terms, authors of the reformed theology and evangelicalism, neutral theological position by using bibliometrical analyzing methods. The analyzing methods are average linkage and neighbor centralities, profile cosine similarities. Especially, when analyzing the relationship between authors, we interpreted the research topic by finding the key shared index terms between the authors. In the journal analysis results, 9 journals were largely clustered together in the two clusters of the reformed theology and evangelicalism, but Presbyterian Theological Quarterly that is thought to be a reformed journal was clustered in evangelical cluster. In the index terms analysis results of the clusters, the reformed theology and evangelicalism were key words representing the two clusters. In the authors' analysis results, we had 9 clusters and the Presbyterian theologian studying the reformed theology had the four clusters and the non-Presbyterian theologian had the 5 clusters. Therefore, we consistently had the two clusters of the reformed theology and evangelicalism in all the analysis of the journals and the index terms, the authors.

• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.429-450
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• 2023

The purpose of this study is to examine recent trends and intellectual structures in research related to open data. To achieve this, the study conducted a search for the keyword "open data" in Scopus and collected a total of 6,543 papers from 1999 to 2023. After data preprocessing, the study focused on the author keywords of 5,589 papers to perform network analysis and derive centrality in the field of open data research and linked open data research. As a result, the study found that "big data" exhibited the highest centrality in research related to open data. The research in this area mainly focuses on the utilization of open data as a concept of public data, studies on the application of open data in analysis related to big data as an associated concept, and research on topics related to the use of open data, such as the reproduction, utilization, and access of open data. In linked open data research, both triadic centrality and closeness centrality showed that "the semantic web" had the highest centrality. Moreover, it was observed that research emphasizing data linkage and relationship formation, rather than public data policies, was more prevalent in this field.

• The Korean Journal of Applied Statistics
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• v.32 no.5
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• pp.671-681
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• 2019

Studies on predicting arrhythmia using machine learning have been actively conducted with increasing number of arrhythmia patients. Existing studies have predicted arrhythmia based on multivariate data of feature variables extracted from RR interval data at a specific time point. In this study, we consider that the pattern of the heart state changes with time can be important information for the arrhythmia prediction. Therefore, we investigate the usefulness of predicting the arrhythmia with multivariate time series data obtained by extracting and accumulating the multivariate vectors of the feature variables at various time points. When considering 1-nearest neighbor classification method and its ensemble for comparison, it is confirmed that the multivariate time series data based method can have better classification performance than the multivariate data based method if we select an appropriate time series distance function.

• Trans-
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• v.13
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• pp.1-16
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• 2022

Recently, the method of contacting and purchasing NFT art has been popularly evolving, and various prospects and predictions for NFT art have emerged. The discussion of NFT art is mainly a hot topic in terms of market size, profit, and sustainability. As the transition to digital accelerated after COVID-19, almost all genres of culture and arts faced a forced transition with the topic of combining digital and technology, but in terms of profitability, it was generally difficult to guarantee positive continuity. On the other hand, the combination of art and blockchain, and the new distribution method called NFT, attracted a lot of attention by causing fundamental changes that lead to technological transformation, continuity through profit creation, and even genre expansion of visual art. The discourse on NFT and the art market is a recent phenomenon and is being discussed focusing on statistics and numerical reports through data from newspapers and art-related research institutes rather than academic analysis or research. However, discussions related to NFT art should be considered in various aspects, such as the incorporation of technology and art, changes in distribution methods, and changes in creative methods according to media changes, not just short stories of phenomena such as high prices and winning bids. In this paper, we would like to examine the impact of changes in creators and distribution methods.

• Journal of Korean Society of Transportation
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• v.18 no.2
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• pp.41-52
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• 2000

In the developing country, the transportation situation is changed very quickly and the transportation environment is not stable. So the transportation planning should be frequently made in considering the limited cost and time. And the traditional large-scale survey(household survey, roadside interview, etc.) has many Problem like the difficulty for doing it and getting mood results. Therefore the study about the method of evaluation on the traffic count based O/D matrix is Processing actively recently. Though the many study for the network in the realistic size are enacted, the study for comparing with the advantage and disadvantage of each method are few. Therefore this study mainly deals with the static method among the existing models of evaluation on the traffic count based O/D matrix(in terms of the transportation plan). Bi-level(GU) and gradient method are selected as main alternative model and analyzed their capability and validity. For testing the reliability of the models, Bi-level(GLS) and gradient method are adapted to toy network. Then we analyze the result of testing, and study the way for large network.