Analysis of Research Trends in South Korean ODA for Ethiopia (2000-2015)

Kim HyunJae,Shon Mi,Kim YoungHwan,Park MinKyoung APEC국제교육협력원 2015 Asia-Pacific Cybereducation Journal Vol.11 No.2

The purpose of this study is to analyze the research trends in the South Korean Official Development Assistance (ODA), by examining the papers of degree thesis papers, project reports, and academic journals published from 2000 to 2015, as well as investigating and proposing the themes for future studies. According to the rubrics of analysis, from numerous papers, twelve thesis, twelve reports and eight academic journals were selected and considered following five analysis criteria; namely, published year, stakeholder of study, project procedure, methodology, and relevance to MDGs, the Millennium Development Goals. The results of the analysis are as follows: first, the papers associated with South Korean ODA for Ethiopia were published in 2008 for the first time. With steadily increasing numbers of thesis, reports, and journals, following after 2008, researches have conducted studies vigorously since 2011. However, investigations on the South Korean ODA for Ethiopia are noticeably insufficient, in comparison to the grant aids and concessional loans paid thus far. Secondly, the analysis appeared in twelve papers published by universities, eleven by government authorities, and eight by specialty magazines. Upon closer inspection, the government authority indicated Korea International Cooperation Agency (KOICA), and eight other specialty magazines, as well as the following: Korea Water Resources Association2), Korean Association of African Studies3), Korea Society of Agricultural Extension4), Korean Journal of Health Education and Promotion5), Journal of International Collaboration in Education6), Korea Research Society for Customs7),Perspectives in Nursing Science, The Women’s Studies8). Third, project procedure utilized as the criteria for the analysis. As a result, one feasibility study conducted in 2012 and 2013, one planning study in 2008 and 2010, two planning studies in 2013, one evaluation study in 2011 were identified. However, each project procedure paper for the 25 projects launched thus far were difficult to find. Papers for those have no relevance with ODA projects, and were considered as other studies. Fourth, papers relevant to the MDGs stand as such; 11 papers were linked with MDG 2, ‘Achieve universal primary education’. Three papers had relevance to MDG 1, ‘Eradicate extreme poverty and hunger’, one to MDG 3, ‘Promote gender equality’, three to MDG 5, ‘Improve maternal health’, four to MDG 6, ‘Combat HIV/AIDS malaria, and other diseases’, two to MDG 7, ‘Ensure environmental sustainability’, seven to MDG 8, ‘Develop a global partnership for development’. There were no papers connected with MDG 4, ‘Reduce child mortality’. Therefore, based on this trend analysis, broader spectrums and diverse methods of study should be implemented for the future studies with regard to the South Korean ODA for Ethiopia.

특수교육 분야 언어 네트워크 분석 연구의 동향

성한나(Han Na Sung) 학습자중심교과교육학회 2022 학습자중심교과교육연구 Vol.22 No.22

목적 본 연구는 국내 특수교육 분야에서 언어 네트워크 분석 방법을 활용한 연구들의 동향을 분석하여 향후 특수교육 분야에서 언어 네트워크 분석 관련 연구의 방향을 모색해보고자 하였다. 방법 이를 위하여 2007년부터 2022년 6월까지 국내 특수교육 분야의 언어 네트워크 분석 활용 연구 28편을 분석하였다. 분석기준은 선행연구를 기반으로 ‘발행연도 및 게재 학술지, 연구 주제, 분석 도구, 시각화 분석법, 분석지표’로 설정하였다. 결과 연구 결과, ‘특수교육재활과학연구’, ‘지적장애연구’에서 가장 많은 수의 연구가 수행된 것으로 나타났으며 2015년을 시작으로 점차 연구 수가 증가하여 2019년, 2021년에 가장 많은 연구(7편)가 수행되었음을 알 수 있었다. 또한, 대부분의 연구는 연구동향 및 지식구조 분석을 주제로 수행되었으며 그에 따라 수집 텍스트는 학술지 게재 논문이 대다수를 차지한 것으로 나타났다. 네트워크 분석 도구는 ‘UCINET’이 가장 많이 활용되었으며, 네트워크 지도를 통해 결과를 시각화한 연구가 가장 많았다. 분석대상 28편의 논문 모두에서 중심성 척도를 분석지표로 활용하고 있었으며 클러스터링, 에고 네트워크 분석 등의 방법도 사용되고 있었다. 결론 이러한 결과는 향후 특수교육 분야에서 언어 네트워크 연구 수행의 방향을 제공하는 데 의의를 가지며 질적으로 보다 다양한 주제의 연구가 지속적으로 확대될 필요성과 연구목적 및 주제에 적합한 네트워크 분석 도구, 시각화 제시 방법, 분석지표를 활용하여 연구 결과를 풍부하게 제시할 필요성에 관해 제언하였다. Objectives This study tried to explore the direction of language network analysis-related research in the field of special education in the future by analyzing the trends of studies using language network analysis methods in the field of special education in Korea. Methods For this purpose, 28 studies using language network analysis in the domestic special education field were analyzed from 2007 to June 2022. Based on previous research, the analysis criteria were set as ‘year of publication and published journal, research topic, analysis tool, visualization analysis method, and analysis index’. Results As a result of the study, it was found that the largest number of studies were conducted in ‘Special Education Rehabilitation Science Research’ and ‘Intellectual Disability Research’. was found to have been carried out. In addition, most of the research was conducted on the subject of research trend and knowledge structure analysis, and it was found that the majority of collected texts were articles published in academic journals. As a network analysis tool, ‘UCINET’ was used the most, and the most studies that visualized the results through a network map were the most. In all 28 papers to be analyzed, the centrality scale was used as an analysis index, and methods such as clustering and ego network analysis were also used. Conclusions These results have significance in providing a direction for conducting language network research in the field of special education in the future, and the need for continuous expansion of qualitatively more diverse topics, as well as network analysis tools, visualization presentation methods, and analysis suitable for research purposes and topics. The necessity of presenting the research results abundantly using indicators was suggested.

묘사분석과 전자코 및 전자혀를 이용한 시판 조미료의 관능적 특성

전서영(Seo-Young Jeon),김진숙(Jin-Sook Kim),김기창(Gi-Chang Kim),최송이(Song-Yi Choi),김상범(Sang-Bum Kim),김경미(Kyung-Mi Kim) 한국식품조리과학회 2017 한국식품조리과학회지 Vol.33 No.5

Purpose: This study performed the descriptive analysis of commercial seasonings and the correlation between electronic nose analysis and electronic tongue analysis. Methods: This study was performed to analyze descriptive analysis by principal component analysis (PCA). Further, the relationship between characteristics determined by electronic nose analysis and sensory characteristics, as well as the relationship between characteristics determined by electronic tongue analysis and sensory characteristics were by Pearson"s correlation analysis and partial least square regression (PLSR) analysis. The study was conducted with 10 trained panelists, and eight kinds of seasoning samples were used. Results: During the descriptive analysis period, a total of 40 descriptive attributes were developed. Descriptive expressions of the commercial seasonings include six appearance characteristics, 12 odor / flavor characteristics, 13 taste characteristics, four after-taste characteristics, and five mouth feeling characteristics. Descriptive analysis characteristics of commercial seasonings were clearly distinguished based on the main characteristics, product type, and additives, and samples of meat, seafood, and fermented soybeans. The electronic nose scent pattern was largely divided into liquid product and powder product. Based on the descriptive analysis, electronic tongue analysis was distinguished from bitter taste and sour taste. Conclusion: Some of the correlations between human senses, electronic nose and electronic tongue sensors were confirmed. In the correlation analysis between descriptive characteristics, electronic nose analysis, and electronic tongue analysis, the tendency between samples, sensory characteristics, and sensors was classified. This study can be used not only as useful data on sensory quality of domestic seasonings but also in future seasoning development.

Independent Component Analysis를 이용한 fMRI신호 분석

문찬홍,나동규,박현욱,유재욱,이은정,변홍식 대한자기공명의과학회 1999 Investigative Magnetic Resonance Imaging Vol.3 No.2

The fMRI signals are composed of many various signals. It is very difficult to find the accurate parameter for the model of fMRI signal containing only neural activity, though we may estimating the signal patterns by the modeling of several signal components. Besides the nose by the physiologic motion, the motion of object and noise of MR instruments make it more difficult to analyze signals of fMRI. Therefore, it is not easy to select an accurate reference data that can accurately reflect neural activity, and the method of an analysis of various signal patterns containing the information of neural activity is an issue of the post-processing methods for fMRI. In the present study, fMRI data was analyzed with the Independent Component Analysis(ICA) method that doesn't need a priori-knowledge or reference data. ICA can be more effective over the analytic method using cross-correlation analysis and can separate the signal patterns of the signals with delayed response or motion related components. The Principal component Analysis (PCA) threshold, wavelet spatial filtering and analysis of a part of whole images can be used for the reduction of the freedom of data before ICA analysis, and these preceding analyses may be useful for a more effective analysis. As a result, ICA method will be effective for the degree of freedom of the data.

빅데이터 분석을 통한 테니스 관련 연구 동향 분석

이종목 한국운동재활복지협회 2024 운동재활·복지 Vol.5 No.3

본 연구는 테니스 관련 연구가 미래를 대비하기 위해 1971년부터 2024년까지 학술연구지에 등재된 테니스 관련 연구 764편 논문 초록을 바탕으로 하여 텍스톰을 활용하여 텍스트마이닝 분석중 키워드 분석, 의미연결망 분석을 시행하였다. 첫째, 키워드분석에서는 테니스, 연구, 선수, 분석, 결과, 운동, 영향, 차이, 요인 순서로 나타났다. 그리고 테니스 기술과 경기력 향상이 관련된 스포츠, 경기, 기술, 훈련, 효과 등과 같은 단어들이 빈도 분석에서 상위권을 차지하고 있다. 그리고 TFIDF 분석에서는 선수, 운동, 그룹, 참여, 요인 등이 높은 순위를 보여 빈도분석과 유사한 형태를 보이고 있다. 둘째, 의미연결망 분석 중 연결중심성 분석에서는 키워드가 다른 키워드와의 연결 관계가 높은 단어들은 테니스, 연구, 선수, 분석, 결과, 운동 단어 순으로 나타났다. 또한 테니스 기술과 훈련 관련된 단어들이 스트로크, 서브, 기술, 프로그램, 포핸드와 같은 단어들이 연결중심성에서 네트워크상에서 높은 영향력을 보여주고 있었다. 또한 CONCOR 분석에서 4개의 군집이 형성되었으며, ’기술 훈련 및 성과 향상‘, ’테니스 활동 내용 및 심리적 요인 분석‘, ’기술 평가 및 동작 분석‘, ’운동 효과와 통계적 분석‘이라고 군집이 형성되었다. 후속 연구에서는 테니스 관련 동향연구를 바탕으로 양적, 질적, 혼합연구를 통해 다양하고 다각적인 연구가 필요할 것이다. This study conducted keyword analysis and semantic network analysis among text mining analysis using Textom based on the abstracts of 764 tennis-related research papers published in academic journals from 1971 to 2024 to prepare for the future of tennis-related research. First, keyword analysis showed the following order: tennis, research, player, analysis, result, exercise, influence, difference, and factor. In addition, words such as sports, game, technique, training, and effect related to tennis skills and performance improvement took the top ranks in frequency analysis. In addition, in TF-IDF analysis, players, exercise, group, participation, and factors showed high rankings, showing a form similar to frequency analysis. Second, in the semantic network analysis, in the connection centrality analysis, words with high connection relationships with other keywords were tennis, research, player, analysis, result, and exercise. In addition, words related to tennis skills and training, such as stroke, serve, technique, program, and forehand, showed high influence in the network in terms of connection centrality. In addition, four clusters were formed in the CONCOR analysis, and the clusters were formed as ‘Technical training and performance improvement’, ‘Tennis activity content and psychological factor analysis’, ‘Technical evaluation and movement analysis’, and ‘Exercise effect and statistical analysis’. In follow-up research, diverse and multifaceted research will be needed through diverse and multifaceted research based on tennis-related trend research and quantitative, qualitative, and mixed research.

뉴스 빅 데이터에 나타난 ‘독서’ 담론 분석 : 11개 중앙 일간지를 중심으로

신선주 ( Shin¸ Seonju ) 한국독서학회 2020 독서연구 Vol.0 No.57

In 2009, the “Reading Culture Policy” was implemented in X, promoted by the Government. This study addresses the ten years before (1999-2008) and after (2009-2018) and analyzes how the reading discourses in each period appear to investigate the “reading” discourses in “Bigkinds,” a news-based big data analysis system. Further, the study investigates, by stage, the social phenomena related to “reading” for the characteristics in the analysis process. It also identifies the dominant reading discourses by period, through four analysis techniques (Keyword search, keyword trend by year, relationship analysis, and related word analysis), utilizing “Bigkinds.” Through this analysis, the following results were obtained. The importance of the reading discourses was examined by identifying articles containing the keyword “reading” in 11 major daily newspapers from 1999 through 2018. More articles were identified in Period 2 (2009- 2018) than in Period 1 (1999-2008), but, as a percentage of the total number of articles, the occurrence of the keyword “reading” remained the same (0.4%). This means that “reading” discourses infrequently feature in daily newspapers. Despite the “Reading Culture Promotion Policy” being actively promoted by the Government, their frequency of occurrence in news articles has remained largely unchanged for the past20 years. Second, analysis of the trend of the keyword “reading” in these 11 major daily newspapers revealed that it was not dealt with behind other social issues. Examining the issues in the field of reading during the period in which there was an increase in the trend revealed that they had close relationships with policies promoted by the Government and with the topics dealt with in the news articles. This shows that “reading” has a limitation as an individual’s discourse and that the Government’s active leading of policy issues affects social reading discourses. Third, relationship analysis (and related word analysis) concerning “reading” revealed that there was no significant difference between Periods 1 and 2. However, there was a slight change in the frequency of the keyword in the relationship and related word analysis, according to whether the reading-related projects were promoted by the government or the private sector. One limitation of this study is that topic structure analysis was not conducted utilizing “LDA,” a topic analysis technique. Rather, this study solely examined “reading” discourses, focusing on keyword analysis. Furthermore, analysis of the discourses of news articles could draw a more useful analysis in the areas that have more social issues. Additionally, focusing on the analysis of the Government’s reading policies and directions in areas that have fewer social issues would be more important regarding increasing executive ability in the field of reading.

문헌정보학분야에서 메타분석 연구에 관한 고찰

노정순 한국문헌정보학회 2008 한국문헌정보학회지 Vol.42 No.1

Meta-analysis refers to the analysis of analysis. It is the statistical analysis of a large collection of analysis results from individual studies for the purpose of summarizing, integrating and interpreting the inconsistent findings. However, no meta-analysis study has been conducted in Library and Information Science in Korea. This Study introduced the charactersistics, basic principles, analysis procesure, and major models of meta-analysis, reviewed meta-analysis studies in Library and Information Science, and discussed major problems in conducting meta-analysis in Library and Information Science especially in Korea. 메타분석(Meta-Analysis)이란 분석에 대한 분석(analysis of analysis)이란 의미로, 특정 연구문제에 대해 독립적으로 수행된 선행연구들의 일치하지 않은 결과들을 통합하여 결론을 내리기 위해 개개 연구의 분석결과들을 수학적으로 합성하여 통계적으로 결론을 내리는 방법이다. 본 연구는 메타분석의 특성과 기본 원리, 분석 절차, 대표적인 분석모델을 소개하고, 문헌정보학분야에서의 메타분석연구를 고찰하였다. 다른 학문에 비해 문헌정보학에서 메타분석연구는 매우 소량 수행되었고 국내 문헌정보학분야에서는 전무한 상태이다. 문헌정보학에서 메타분석을 수행하는데 문제점과 메타분석연구를 활성화하기 위해 연구자가 보고서 작성시 유의해야 할 내용을 논의하였다.

한국 미술계 위작(僞作)·대작(代作)에 대한미디어 담론 분석- 프레임 네트워크 분석 접근법

양희수,현은정 한국예술경영학회 2018 예술경영연구 Vol.0 No.45

Prior research suggests that media discourse affects the behavior and outcomes of relevant actors. In particular, media discourse analysis using text network analysis has been increasingly used to capture the structural properties of contentious social issues across various fields. The use of this method, however, has not been very active among researchers of arts and culture. In this paper, we present an analysis of media discourse related to art forgery in the Korean visual art sector as a test case to depict the topography of media discourse through text network analysis. We focus on three major art forgery scandals (e.g., Lee Woo Hwan, Chun Kyung ja, Jo Young Nam) and identify 8 major frames (conflict, blame attribution, context description, sensation, government intervention / institutional measures, market economy, power, morality) used in 83 opinion columns in the Korean daily newspapers as well as arts magazines about those instances from 1991 to 2017. We examine how theses frames that reflect the perspectives on art forgery are connected to one another so as to better make sense of how media discourses about art forgery in the Korean visual art sector are constituted. 미디어 담론(media discourse)은 행위자들의 행동과 결과에 영향을 미친다는 점에서 중요한 의의를 가진다. 특히, 네트워크 분석(network analysis)을 이용한 미디어 담론 분석은 다양한 분야에서 논쟁이 되고 있는 사회적인 이슈의 구조적 특성을나타내기 위해 사용되어 왔다. 하지만, 문화예술연구에서 네트워크 분석(network analysis)은 비교적 새로운 분석 방법으로, 최근 들어 문화예술분야의 연구 동향을나타내기 위한 분석 방법으로 사용되고 있다. 본 논문은 네트워크 분석(network analysis)을 통해 미디어 담론(media discourse)의 지형을 나타내기 위한 사례로서, 한국 미술계의 위작(僞作), 대작(代作)사건과 관련된 미디어 담론(meida discourse) 을 ‘프레임(frame)’을 중심으로 분석한다. 구체적으로는 한국 미술계의 위작(僞作), 대작(代作)논란을 다룬 사설·칼럼 83개를 대상으로 11개의 프레임(frame)을 부여하고, 11개의 프레임(frame)들을 대상으로 네트워크 분석(network analysis) – 1) 11개 프레임(frame)간의 관계를 파악하기 위한 중심성(degree centrality, eigenvector centrality), 등위성 분석(cluster) 2) 미디어 매체(media)의 이데올로기적 성향(ideological tendency)별로 11개 프레임(frame)에 대한 연결 중심성 분석(degree centrality analysis) –을 실시하였다. 이를 통해 미디어 매체(media)가 미술계의 위작(僞作), 대작(代作)에 대해 전체적으로 각 사건들에 대한 사실·갈등 양상을 나열하거나, 각 사건의 행위 주체의 책임을 묻는 등의 프레임(frame)을 중점으로 담론(discourse)을 형성하였음을 알 수 있었다. 이와 더불어 미디어 매체(media)의 이데올로기적 성향(ideological tendency)에 따라 한국 미술계의 위작(僞作), 대작(代作)논란을 바라보는 시각에 차이가 존재함을 알 수 있었다. 이와 같은 분석결과를 통해, 본 연구는 문화예술분야에서 비교적 새로운 분석 방법인 프레임 분석(frame analysis)을 통해 국내 미술계의 위작(僞作)·대작(代作)논란에 대한 미디어 담론(media discourse)을 파악하고, 이를 네트워크 지도(network map)를 통해 시각화하였다는 시사점을 가진다. 또한, 11개의 프레임(frame)을 대상으로 실시한 네트워크 분석(network analysis)을 통해 미술품 위작(僞作)·대작(代作)을 둘러싼 미술계 외부와 내부의 견해차를 확인함으로써, 향후 정부 부처가 이와 관련한 정책을 도출하는 과정에서 본 논문이 실증적 자료를 제공하는 것에 그 의의가 있다.

The Analysis of a Diet for the Human Being and the Companion Animal using Big Data in 2016

( Eun-jin Jung ),( Young-suk Kim ),( Jung-wa Choi ),( Hye Won Kang ),( Un-jae Chang ) 한국임상영양학회 2017 Clinical Nutrition Research Vol.6 No.4

The purpose of this study was to investigate the diet tendencies of human and companion animals using big data analysis. The keyword data of human diet and companion animals' diet were collected from the portal site Naver from January 1, 2016 until December 31, 2016 and collected data were analyzed by simple frequency analysis, N-gram analysis, keyword network analysis and seasonality analysis. In terms of human, the word exercise had the highest frequency through simple frequency analysis, whereas diet menu most frequently appeared in the N-gram analysis. companion animals, the term dog had the highest frequency in simple frequency analysis, whereas diet method was most frequent through N-gram analysis. Keyword network analysis for human indicated 4 groups: diet group, exercise group, commercial diet food group, and commercial diet program group. However, the keyword network analysis for companion animals indicated 3 groups: diet group, exercise group, and professional medical help group. The analysis of seasonality showed that the interest in diet for both human and companion animals increased steadily since February of 2016 and reached its peak in July. In conclusion, diets of human and companion animals showed similar tendencies, particularly having higher preference for dietary control over other methods. The diets of companion animals are determined by the choice of their owners as effective diet method for owners are usually applied to the companion animals. Therefore, it is necessary to have empirical demonstration of whether correlation of obesity between human being and the companion animals exist.

Zero-Inflated Poisson and Negative Binomial Regressions for Technology Analysis

Jong-Min Kim,Sunghae Jun 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.12

Technology analysis is to understand target technology by analyzing diverse information of developed technologies. Using the results of technology analysis, we can perform the technology management such as technology forecasting, technological innovation, and technology valuation for research and development (R&D) planning. In addition, the R&D planning is built uponin order to improve technological competitiveness of a company. Patent analysis is a popular approach to technology analysis. Many researches on patent analysis have been done because patent documents contain diverse and complete information on developed technology. However, the documents are not suitable for patent analysis based on statistics. So, in much of the work on patent data analysis, the researchers transformed the patent documents into structured data using text mining techniques. Generally, thestructured data set has a sparsity problem, that is, most elements of the data are zero valued. The existing researches in patent analysis have not considered this zero-inflated problem, but it places serious limits on performance when we analyze the patent data. In this paper, to overcome this problem, we propose a methodology for patent analysis using zero-inflated Poisson and negative binomial regressions. We apply the proposed methodology based on zero-inflated Poisson and negative binomial regression models to Apple’s technology analysis.