• Journal of the Korean Society for information Management
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• v.34 no.2
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• pp.81-95
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• 2017

This study examined two characteristics of library and information science (LIS) journals in Korea through analysis of journal coupling with common authors. This study also illustrated the trend of Korean LIS research in the recent decade. The notable change is that record management and archival studies settle in LIS domain as a major research area. We introduced two indicators, Publishing Preference Index (PPI) and Researcher Attraction Index (RAI), based on the degree of common authors among journals. Both indicators revealed notable changes in author coupling, including reversal of PPIs in some journals, which can be interpreted as proof of changes in their author groups. The RAI analysis, which measured the degree of journals' attractiveness to Korean LIS researchers and author sharing between two journals, illustrated the journals' states in a domain; this result can help find both an isolated journal and strongly bonded journals in the specific domain. Journal coupling with common authors introduced in this study proved to be an effective investigative method for illustrating journals' states in a specified domain as well as a multidisciplinary area.

• Electronics and Telecommunications Trends
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• v.19 no.2 s.86
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• pp.90-100
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• 2004

정보통신의 비약적인 발전과 더불어 보건의료에 대한 사회적 인식 변화로 인해 의료 서비스에 대한 개선의 요구가 점차 증대되고 있다. 의료서비스와 정보통신의 결합은 e-Health라는 보건의료분야의 새로운 비즈니스 영역을 탄생시켰다. 늦은 감이 있지만, 국내에서도 e-Health 산업의 성장이 본격화됨에 따라 정책적으로도 이를 적극 육성하려는 움직임을 보이고 있다. 이에 본 고에서는 영국, 일본, 미국의 e-Health 현황을 살펴보고 국내 e-Health 산업에 대한 시사점을 제시하였다.

• Journal of the Korean Society for information Management
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• v.34 no.1
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• pp.177-195
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• 2017

This study attempts to infer research fronts using factor graph model based on heterogeneous features. The model suggested by this study infers research fronts having documents with the potential to be cited multiple times in the future. To this end, the documents are represented by bibliographic, network, and content features. Bibliographic features contain bibliographic information such as the number of authors, the number of institutions to which the authors belong, proceedings, the number of keywords the authors provide, funds, the number of references, the number of pages, and the journal impact factor. Network features include degree centrality, betweenness, and closeness among the document network. Content features include keywords from the title and abstract using keyphrase extraction techniques. The model learns these features of a publication and infers whether the document would be an RF using sum-product algorithm and junction tree algorithm on a factor graph. We experimentally demonstrate that when predicting RFs, the FG predicted more densely connected documents than those predicted by RFs constructed using a traditional bibliometric approach. Our results also indicate that FG-predicted documents exhibit stronger degrees of centrality and betweenness among RFs.

• Annual Conference on Human and Language Technology
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• 2018.10a
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• pp.185-188
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• 2018

띄어쓰기와 문장 경계 인식은 그 성능에 따라 자연어 분석 단계에서 오류를 크게 전파하기 때문에 굉장히 중요한 문제로 인식되고 있지만 각각 서로 다른 자질을 사용하는 문제 때문에 각각 다른 모델을 사용해 순차적으로 해결하였다. 그러나 띄어쓰기와 문장 경계 인식은 완전히 다른 문제라고는 볼 수 없으며 두 모델의 순차적 수행은 앞선 모델의 오류가 다음 모델에 전파될 뿐만 아니라 시간 복잡도가 높아진다는 문제점이 있다. 본 논문에서는 띄어쓰기와 문장 경계 인식을 하나의 문제로 보고 한 번에 처리하는 다중 클래스 분류 시스템을 통해 시간 복잡도 문제를 해결하고 다중 손실 선형 결합을 사용하여 띄어쓰기와 문장 경계 인식이 서로 다른 자질을 사용하는 문제를 해결했다. 최종 모델은 띄어쓰기와 문장 경계 인식 기본 모델보다 각각 3.98%p, 0.34%p 증가한 성능을 보였다. 시간 복잡도 면에서도 단일 모델의 순차적 수행 시간보다 38.7% 감소한 수행 시간을 보였다.

• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.403-428
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• 2023

This study investigates the development path and intellectual structure of data literacy research, aiming to identify emerging topics in the field. A comprehensive search for data literacy-related articles on the Web of Science reveals that the field is primarily concentrated in Education & Educational Research and Information Science & Library Science, accounting for nearly 60% of the total. Citation network analysis, employing the PageRank algorithm, identifies key papers with high citation impact across various topics. To accurately trace the development path of data literacy research, an enhanced PageRank main path algorithm is developed, which overcomes the limitations of existing methods confined to the Education & Educational Research field. Keyword bibliographic coupling analysis is employed to unravel the intellectual structure of data literacy research. Utilizing the PNNC algorithm, the detailed structure and clusters of the derived keyword bibliographic coupling network are revealed, including two large clusters, one with two smaller clusters and the other with five smaller clusters. The growth index and mean publishing year of each keyword and cluster are measured to pinpoint emerging topics. The analysis highlights the emergence of critical data literacy for social justice in higher education amidst the ongoing pandemic and the rise of AI chatbots. The enhanced PageRank main path algorithm, developed in this study, demonstrates its effectiveness in identifying parallel research streams developing across different fields.

• Transactions of the KSME C: Technology and Education
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• v.3 no.4
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• pp.273-283
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• 2015

In this study, we suggested the methodology and the results of planning of promising technologies in mechanical engineering by focusing on the case of the Korea Institute of Machinery and Materials (KIMM). For dedicated commitment to planning of promising technologies, KIMM newly introduced task-force called as 'specialist unit'. In addition, KIMM combined the investigation of external environments with the analysis of internal capabilities of KIMM and utilized the bibliographic coupling analysis in the process of the exploring sub themes. Finally, we provided 8 promising fields and their sub themes in the mechanical engineering. Our study contributed to the strategic development of the main research programs of KIMM. Our findings can be also utilized as the best practice of planning of promising technologies in the field of mechanical engineering.

• Journal of the Korean Society for information Management
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• v.27 no.1
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• pp.103-118
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• 2010

Recently, the valuation of patented technology has been greatly emphasized, and patent citation has been accepted as a very useful index of this technology. In this study, we performed correlation analyses between the patent citation counts and 17 explanatory variables of morphological, technological, and conceptual factors with a test dataset of U.S. patents in five subject fields. Seven variables having 5% or more standardized variances($r^2$) with patent citation counts were identified; number of pages, number of claims, reference-average-citation rate, patent increase/decrease rate, strength of bibliographic coupling, co-citation counts and document similarity. The result of the ANOVA test shows that the mean values of these variables vary among most subject fields.

• Journal of the Korean Society for information Management
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• v.33 no.2
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• pp.103-133
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• 2016

The valuation of patented technology has been recently emphasized, and the patent citation is known as an important factor. This study performed a generalized linear model to find variables that effect the patent citation. We classified 13 variables as morphological, technological and conceptual factors and used them to find out effective variables in 14 medical devices classification. Through the empirical study, we found seven effective variables (assignee nationality, assignee character, the number of inventors, the number of application countries, the number of IPC, the number of references, the strength of bibliographic coupling). In order to apply to Korean industry, this study has significance that provides basic research to citation analysis model.

• Proceedings of the Korean Society for Food Science of Animal Resources Conference
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• 2005.10a
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• pp.214-216
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• 2005

육가공품의 품질 평가를 과학적으로 객관적으로 하기위해 원료육의 결합조직내에 포함된 hydroxyproline의 함량을 정량화하였다. 축산물 중 hydroxyproline의 함량은 돈육 > 계육 > 우육의 순서로 나타났으며 이 중 돈육의 등급에 따른 hydroxyproline 함량은 등급이 낮을수록 높게 측정되었다. 이상의 결과를 통해 돈가스 육가공품의 hydroxyproline의 함량을 측정한 후, 제품에 포함된 돈육의 비율 및 수분함량을 계산하여 돈가스 제품에 사용된 돈육의 등급의 추정할 수 있었다.

• 한국HCI학회:학술대회논문집
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• 2008.02b
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• pp.146-151
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• 2008

새로운 사용자 경험의 향상을 위해 UI 의 개선방안을 모색할 때, 기존에 수행해 오던 일반적 사용성 평가 방법만으로는 모바일과 같이 복합적 컨텍스트를 가진 서비스 이용환경을 파악하는데 적지 않은 한계가 있다. 가령 특정 Task 수행시 Lead Time 측정과 같은 계량화된 사용성 평가방법을 통해서는 실제 사용자의 컨텍스트를 고려한 사용성의 수준(혹은 오류의 수준)에 대한 분석이 어려운 반면, In-depth Interview 로 대표되는 통상의 정성적인 사용자 리서치 방법은 장애의 요인과 결과간의 논리적인 상관관계를 명확화하거나 실측적인 개선 성과로써 도출해 내는데 어려움이 있다. 본 연구에서는 정량적인 사용성 평가방법에 정성적인 사용자 리서치 수행기법 및 통계적 기법을 결합하여, 실측 가능하고 설득력을 가진 근거 데이터를 지지하는 한편 한계로 남겨져 왔던 행위결과에 대한 요인에도 적절한 인사이트를 제시할 수 있는 대안적 사용성 평가 방법을 제시하고자 한다.