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The Analysis of Chemistry's Image in Daily newspaper on '2006, the Year of Chemstry' (2006년 '화학의 해'의 언론매체 속 화학 이미지 분석)

  • Shin, Sunyoung;Cho, Mijoo;Park, Jongseok
    • Journal of Science Education
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    • v.32 no.1
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    • pp.47-60
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    • 2008
  • The Ministry of Science and Technology has been planning various events and carrying them out as the effort for promotion and popularization of science. The ministry has made followings: i)Science culture year, 2004 ii) Physics year, 2006 iii)Chemistry year, 2007 iv)Biology year, 2008. Especially, in 2006 the ministry held various exhibitions and contests about chemistry. The science play "Oxygen" had been presented in the whole country, 2006. From 2006 to 2007 the moving science museum had been displayed many times in the whole country. The national broadcast media KBS made a special program and televised several times to commemorate the year of chemistry. Like that in 2006 the chemistry approached to general people. In these surroundings, we wondered how chemistry was expressed in daily newspaper and how the general public accepted chemistry in the year of chemistry, 2006. So we selected four daily newspaper and researched descriptions about chemistry then analyzed the image of chemistry in that descriptions. When we research, we first selected 5 words of high frequency. On the internet research engine we used these 5 words and searched descriptions. We read and sorted descriptions which were more connected to chemistry. Finally we analyzed the images of descriptions(affirmative or negative) and character. The chemistry's image on newspaper descriptions influences people greatly. Because that is the easiest channel.

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Influence of standard Korean and Gyeongsang regional dialect on the pronunciation of English vowels (표준어와 경상 지역 방언의 한국어 모음 발음에 따른 영어 모음 발음의 영향에 대한 연구)

  • Jang, Soo-Yeon
    • Phonetics and Speech Sciences
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    • v.13 no.4
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    • pp.1-7
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    • 2021
  • This study aims to enhance English pronunciation education for Korean students by examining the impact of standard Korean and Gyeongsang regional dialect on the articulation of English vowels. Data were obtained through the Korean-Spoken English Corpus (K-SEC). Seven Korean words and ten English mono-syllabic words were uttered by adult, male speakers of standard Korean and Gyeongsang regional dialect, in particular, speakers with little to no experience living abroad were selected. Formant frequencies of the recorded corpus data were measured using spectrograms, provided by the speech analysis program, Praat. The recorded data were analyzed using the articulatory graph for formants. The results show that in comparison with speakers using standard Korean, those using the Gyeongsang regional dialect articulated both Korean and English vowels in the back. Moreover, the contrast between standard Korean and Gyeongsang regional dialect in the pronunciation of Korean vowels (/으/, /어/) affected how the corresponding English vowels (/ə/, /ʊ/) were articulated. Regardless of the use of regional dialect, a general feature of vowel pronunciation among Korean people is that they show more narrow articulatory movements, compared with that of native English speakers. Korean people generally experience difficulties with discriminating tense and lax vowels, whereas native English speakers have clear distinctions in vowel articulation.

A Study on the Intellectual Structure of Metadata Research by Using Co-word Analysis (동시출현단어 분석에 기반한 메타데이터 분야의 지적구조에 관한 연구)

  • Choi, Ye-Jin;Chung, Yeon-Kyoung
    • Journal of the Korean Society for information Management
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    • v.33 no.3
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    • pp.63-83
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    • 2016
  • As the usage of information resources produced in various media and forms has been increased, the importance of metadata as a tool of information organization to describe the information resources becomes increasingly crucial. The purposes of this study are to analyze and to demonstrate the intellectual structure in the field of metadata through co-word analysis. The data set was collected from the journals which were registered in the Core collection of Web of Science citation database during the period from January 1, 1998 to July 8, 2016. Among them, the bibliographic data from 727 journals was collected using Topic category search with the query word 'metadata'. From 727 journal articles, 410 journals with author keywords were selected and after data preprocessing, 1,137 author keywords were extracted. Finally, a total of 37 final keywords which had more than 6 frequency were selected for analysis. In order to demonstrate the intellectual structure of metadata field, network analysis was conducted. As a result, 2 domains and 9 clusters were derived, and intellectual relations among keywords from metadata field were visualized, and proposed keywords with high global centrality and local centrality. Six clusters from cluster analysis were shown in the map of multidimensional scaling, and the knowledge structure was proposed based on the correlations among each keywords. The results of this study are expected to help to understand the intellectual structure of metadata field through visualization and to guide directions in new approaches of metadata related studies.

Exploratory study on the Moral Injury among Female North Korean Refugees: Qualitative Content Analysis of Qualitative Studies on Female North Korean Refugees (탈북여성들이 경험하는 도덕적 손상에 관한 탐색적 연구: 탈북여성을 대상으로 한 질적 선행연구물 내용분석)

  • Shim, Woochan;Lee, Soon Min
    • The Journal of the Korea Contents Association
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    • v.18 no.4
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    • pp.636-652
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    • 2018
  • This study is about applying the concept of moral injury in reinterpreting and understanding the experience of female North Korean refugees who have experienced psychological trauma and are struggling with adjusting in their everyday lives. The database KISS and DBpia were used to search for academic peer-reviewed articles published before August 13th in 2017, using 'female or women North Korean,' 'female or women relocated North Korean,' and 'female or women North Korean defector' as keywords. In total 51 studies were finally selected for content analysis and the result were the following. First, listing from the most often occurring study topic to the least occurring topic in order: post-defection adjustment related, mothering experience, experience of North Korean regime and Korean War, work or job or employment related, recovering from psychological trauma as well as growth and resilience related, experiences in China, trauma and psychological difficulties, anxiety treatment process and effects. Second, words related to psychological aspect of moral injury appeared 260 times in 51 selected studies, changes in the existential belief appeared 82 times, cognitive aspects of moral injury appeared 71 times, and behavioral aspects 21 times. Third, two main contexts emerged to be the antecedent that led to moral injury and they were 'identity denial' and 'dismantled family.' In attempts to find opposite cases or stories where aspects of moral injury were not found despite the existence of its antecedents and it was 'identity restructuring.' Based on the finding, practice implications that could help female North Korean refugees prevent or recover from moral injury were suggested.

Improving the Retrieval Effectiveness by Incorporating Word Sense Disambiguation Process (정보검색 성능 향상을 위한 단어 중의성 해소 모형에 관한 연구)

  • Chung, Young-Mee;Lee, Yong-Gu
    • Journal of the Korean Society for information Management
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    • v.22 no.2 s.56
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    • pp.125-145
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    • 2005
  • This paper presents a semantic vector space retrieval model incorporating a word sense disambiguation algorithm in an attempt to improve retrieval effectiveness. Nine Korean homonyms are selected for the sense disambiguation and retrieval experiments. The total of approximately 120,000 news articles comprise the raw test collection and 18 queries including homonyms as query words are used for the retrieval experiments. A Naive Bayes classifier and EM algorithm representing supervised and unsupervised learning algorithms respectively are used for the disambiguation process. The Naive Bayes classifier achieved $92\%$ disambiguation accuracy. while the clustering performance of the EM algorithm is $67\%$ on the average. The retrieval effectiveness of the semantic vector space model incorporating the Naive Bayes classifier showed $39.6\%$ precision achieving about $7.4\%$ improvement. However, the retrieval effectiveness of the EM algorithm-based semantic retrieval is $3\%$ lower than the baseline retrieval without disambiguation. It is worth noting that the performances of disambiguation and retrieval depend on the distribution patterns of homonyms to be disambiguated as well as the characteristics of queries.

Evaluating Blockchain Research Trend using Bibliometrics-based Network Analysis (블록체인 분야의 학술연구 동향분석: 계량정보학적 네트워크분석을 중심으로)

  • Zhu, Yu-Peng;Park, Han-Woo
    • Journal of Digital Convergence
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    • v.17 no.6
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    • pp.219-227
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    • 2019
  • This study aims to examine Blockchain research trend using bibliometrics-based network analysis. The data were collected from WoS, Scopus, Korea Citation Index and National science & Technology Information Service, from 2009 to 2018. As results, the number of publications has started increasing rapidly from 2017 and it showed the initial stage of formation of coauthor network. Words often used in the title of the publications were related to application development, controversy and technology development. In addition, the majority of domestic papers are in the subject of social science, while international papers tend to focus on engineering issues. The results of the temporal analysis show that Korean researchers' block chain 3.0 started in 2017 and are rapidly increasing in 2018. The number of citations was associated with publication year in a statistically signifiant way. By examining these research trends, we hope that this paper can be a useful basis for the development of blockchain. Future research is expected to reveal more clearly the knowledge structure and characteristics of blockchain around the world.

Social Big Data-based Co-occurrence Analysis of the Main Person's Characteristics and the Issues in the 2016 Rio Olympics Men's Soccer Games (소셜 빅데이터 기반 2016리우올림픽 축구 관련 이슈 및 인물에 대한 연관단어 분석)

  • Park, SungGeon;Lee, Soowon;Hwang, YoungChan
    • 한국체육학회지인문사회과학편
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    • v.56 no.2
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    • pp.303-320
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    • 2017
  • This paper seeks to better understand the focal issues and persons related to Rio Olympic soccer games through social data science and analytics. This study collected its data from online news articles and comments specific to KOR during the Olympic football games. In order to investigate the public interests for each game and target persons, this study performed the co-occurrence words analysis. Then after, the study applied the NodeXL software to perform its visualization of the results. Through this application and process, the study found several major issues during the Rio Olympic men's football game including the following: the match between KOR and PIJ, KOR player Heungmin Son, commentator Young-Pyo Lee, sportscaster Woo-Jong Jo. The study also showed the general public opinion expressed positive words towards the South Korean national football team during the Rio Olympics, though there existed negative words as well. Furthermore the study revealed positive attitude towards the commentators and casters. In conclusion, the way to increase the public's interest in big sporting events can be achieved by providing the following: contents that include various professional sports analysis, a capable domain expert with thorough preparation, a commentator and/or caster with artistic sense as well as well-spoken, explanatory power and so on. Multidisciplinary research combined with sports science, social science, information technology and media can contribute to a wide range of theoretical studies and practical developments within the sports industry.

Study on Guidelines for Selecting Traditional Games in Relation to Multiple Intelligence Development (다중지능발달을 위한 민속놀이 선정기준 연구)

  • Kim, Eun Kyung;Kwon, Dae Won
    • Korean Journal of Childcare and Education
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    • v.10 no.5
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    • pp.229-248
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    • 2014
  • The purpose of this study is to draw guidelines on how to select traditional games that would efficiently help and develop multiple intelligences in children. Guidelines standard of section inquiries were prepared through a Delphi survey targeting twenty experts in early childhood education and traditional games. As a result, linguistic intelligence questions regarding writing, listening, speaking and vocabulary acquisition were selected. logical-mathematical intelligence questions regarding strategy, counting, patterns, hypothesis, verification, and comparing, contrasting, calculating ability were selected. Spatial intelligence questions regarding drawing, coloring, representation activities, operating and creating were selected, physical performance intelligence questions regarding global muscles, eye-hand coordination, flexibility, accommodation force, balance, agility and muscular strength were selected. Musical intelligence included questions about singing, and playing musical instruments. Interpersonal intelligence included perspective-taking, role-sharing, cooperation and discussion. For intrapersonal intelligence questions regarding personal significance-ties, planning-decision making, emotional expression and problem solving were selected. Finally, in relation to naturalist intelligence, questions regarding living organisms, inanimate objects and seasons were selected. In addition, traditional games were analyzed based on the finalized guidelines, and the results showed that each of the traditional games would not only work with one intelligence at a time but with other different intelligence as well. In the light of that, the study confirmed the validity of the guidelines on how to select traditional games that would develop multiple intelligences in children.

A Study on Comparison Analysis of the Design Factors between Korea and China Shopping mall Websites (한·중 쇼핑몰 웹 사이트의 디자인 요인에 대한 비교분석)

  • Kwon, Young-Jik
    • Journal of Korea Society of Industrial Information Systems
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    • v.19 no.4
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    • pp.133-146
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    • 2014
  • This paper mainly focuses on the design factors of a website targeted at shopping mall websites in China and Korea. We formulated 15 different hypotheses regarding how those design factors are different. The targeted websites are "Gmarket" in Korea and "Taobao" in China. The selected design factors of a shopping mall website are (1) color and design, (2) photo, graphic, and font size, (3) the clarity of information delivery, (4) website structure, (5) screen balance, (6) product display, (7) product harmony, (8) a form of font and icon, (9) visual atmosphere, (10) differentiated color, (11) interesting words, (12) technical skills, (13) entire visual design and atmosphere, (14) navigation, (15) search function for products or information. As a result of analyzing the result using the SAS 9.2 package tool, we figured out that there was a difference between design factors. Additionally, we analyzed this difference and suggested a strategy to design the effective shopping mall web sites.

An Evaluation of Website Information Architecture for Old Adults: Focused on Organization and Labeling System (고령층을 위한 웹 사이트 정보 구조 평가: 조직화 체계와 레이블링 체계를 중심으로)

  • Seo, Jiwoong;Kim, Heesop
    • Journal of the Korean Society for information Management
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    • v.33 no.1
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    • pp.181-196
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    • 2016
  • The objective of this study is to evaluate the organization system and the labeling system of information architecture of a website for the elderly. To achieve this aims, we selected a representative website, i.e., Naver, and the participants were conducted given three types of search tasks using their own information literacy skills and they were answered to the questionnaire and an additional interview, if necessary. A total of 74 valid data were collected through the experiment, and we analyzed the data using SPSS Ver. 20. It revealed that Naver received a positive evaluation in the organization system aspect, particularly its systematic subject categorization and chronological browsing mechanisms. Old adults were preferred the icon-based labeling than the text-based labeling system, and showed a significant difference among their academic backgrounds.