• Title/Summary/Keyword: visualized clusters

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A Bibliometric Analysis of Studies on Pediatric Acupuncture: Based on Web of Science (소아 침치료 연구에 대한 계량서지학적 분석: Web of Science를 중심으로)

  • Chan-Young Kwon
    • The Journal of Pediatrics of Korean Medicine
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    • v.38 no.1
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    • pp.10-22
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    • 2024
  • Objectives This bibliometric analysis aimed to determine the status of pediatric acupuncture research. Methods Relevant bibliographic information up to January 9, 2024, was collected through searches in the Web of Science Core Collection. Bibliographic information was preprocessed for data analysis and analyzed using VOSviewer software. Network maps of the authors and their affiliated institutions in the included studies were constructed and visualized, and clusters for each major node were identified. In addition, the latest research keywords were visualized using an overlay visualization function. Results The field of pediatric acupuncture research has shown a 20.5-fold quantitative increase in the number of publications over the past 30 years (1991 - 2023). In the field of pediatric acupuncture research, the United States has the highest productivity and influence, and South Korea ranked 7th in productivity and 10th in influence. Through keyword analysis in the field of pediatric acupuncture research, four clusters were identified. Pain management, use in pediatric oncology, and use in postoperative management were identified as important clinical topics. There is a lack of exchange among researchers in the field of pediatric acupuncture. Conclusions Pediatric acupuncture research continues to show quantitative growth and western countries have shown high productivity and influence in this field. In this study, the major keywords in the field of pediatric acupuncture research were identified, and the results can be used to establish the research direction of the Korean medicine community.

A Study on the Mechanism of Clusters Formation of ER Fluids (ER유체의 클러스터 형성 메커니즘에 관한 연구)

  • Rhee Eun-Jun.;Park Myeong-Kwan.
    • Proceedings of the KSME Conference
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    • 2002.08a
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    • pp.503-506
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    • 2002
  • Electrorheological fluids(ERFs) show a rapid and reversible increase in viscosity by applied electric field. It is called the electrorheological effect (ER effect). The reason for ER effect is the induction of an electric dipole in each particle, leading to the formation of clusters in the direction of the field, which resist fluid flow. Generally, the behavior of ER fluids has been modeled on those of Bingham fluids. But there are some differences between Bingham fluids and ER fluids. The visualization of ER fliuds are presented and ER effects by the forming, growing and breaking of clusters are discussed. In the low shear rate area, the pressure drop is measured by a pressure sensor and the formation of ER particles is visualized by video camera. The reason for the nonlinear behavior of ER fluids at low shear rate is explained through results of visualization.

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A Study on the Mechanism of Clusters Formation of ER Fluid Through Visualization (가시화를 통한 ER유체의 클러스터 형성 구조에 관한 연구)

  • Lee, Eun-Jun;Park, Myeong-Gwan
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.25 no.12
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    • pp.1684-1691
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    • 2001
  • Electrorheological fluids(ERFs) show a rapid and reversible increase in apparent viscosity by applied electric field. It is called the electrorheological effect (ER effect). The reason for ER effect is the induction of an electric dipole in each particle, leading to the formation of clusters in the direction of the field, which resist fluid flow. Generally, the behavior of ER fluids has been modeled on those of Bingham fluids. But there are some differences between Bingham fluids and ER fluids. The visualization of ER fliuds are presented and ER effects by the forming, growing and breaking of clusters are discussed. In the low shear rate area, the pressure drop is measured by a pressure sensor and the formation of ER particles is visualized by video camera. The reason for the nonlinear behavior of ER fluids at low shear rate is explained through results of visualization. As result, the behavior of ER fluids is nonlinear at low shear rate with overshoot area because it is different to from the clusters according to the strength of electric field. The gap of electrodes becomes narrow because of the cluster layer occurrence near to electrodes in any conditions.

Social Media and Popular Places: The Case of Chicago

  • Al-Kodmany, Kheir
    • International Journal of High-Rise Buildings
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    • v.8 no.2
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    • pp.125-136
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    • 2019
  • This paper offers new ways to learn about popular places in the city. Using locational data from Social Media platforms platforms, including Twitter, Facebook, and Instagram, along with participatory field visits and combining insights from architecture and urban design literature, this study reveals popular socio-spatial clusters in the City of Chicago. Locational data of photographs were visualized by using Geographic Information Systems and helped in producing heat maps that showed the spatial distribution of posted photographs. Geo-intensity of photographs illustrated areas that are most popularly visited in the city. The study's results indicate that the city's skyscrapers along open spaces are major elements of image formation. Findings also elucidate that Social Media plays an important role in promoting places; and thereby, sustaining a greater interest and stream of visitors. Consequently, planners should tap into public's digital engagement in city places to improve tourism and economy.

Visualizing Excercise Prescription Using Visual Path Map (비쥬얼패스맵을 이용한 운동처방 과정 시각화)

  • Ham, Jun-Seok;Jeong, Chan-Soon;Ko, Il-Ju
    • Journal of Korea Multimedia Society
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    • v.14 no.9
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    • pp.1182-1189
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    • 2011
  • We named the system Visual Path Map which visualizes the distribution of clusters according to characteristics and entire process about exercise prescription, and we purpose to visualize a process according to exercise prescription. Visual Path Map visualizes the distribution of clusters according to characteristics, current and object distribution, and changed distribution for prescription. So it visualizes paths from current distribution to object distribution according to prescription. We used SOM in order to express properties along subjects in Visual Path map, and visualized distribution of clusters about physical characteristics, body mass index, and age information of 1,500 ordinary people. Also we visualize practical exercise prescription according to real data of expert of exercise prescription.

KCI vs. WoS: Comparative Analysis of Korean and International Journal Publications in Library and Information Science

  • Yang, Kiduk;Lee, Hyekyung;Kim, Seonwook;Lee, Jongwook;Oh, Dong-Geun
    • Journal of Information Science Theory and Practice
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    • v.9 no.3
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    • pp.76-106
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    • 2021
  • The study analyzed bibliometric data of papers published in Korea Citation Index (KCI) and Web of Science (WoS) journals from 2002 to 2021. After examining size differences of KCI and WoS domains in the number of authors, institutions, and journals to put publication and citations counts in perspective, the study investigated co-authorship patterns over time to compare collaboration trends of Korean and international scholars and analyzed the data at author, institution, and journal levels to explore how the influences of authors, institutions, and journals on research output differ across domains. The study also conducted frequency-based analysis of keywords to identify key topics and visualized keyword clusters to examine topic trends. The result showed Korean LIS authors to be twice as productive as international authors but much less impactful and Korean institutions to be at comparable levels of productivity and impact in contrast to much of productivity and impact concentrated in top international institutions. Citations to journals exhibited initially increasing pattern followed by a decreasing trend though WoS journals showed far more variance than KCI journals. Co-authorship trends were much more pronounced among international publication, where larger collaboration groups suggested multi-disciplinary and complex nature of international LIS research. Keyword analysis found continuing diversification of topics in international research compared to relatively static topic trend in Korea. Keyword visualization showed WoS keyword clusters to be much denser and diverse than KCI clusters. In addition, key keyword clusters of WoS were quite different from each other unlike KCI clusters which were similar.

Grouping Preferred Sensations of College Students Using Sementic Differential Methods of Sensation Words (선호감성 어휘분석을 통한 남녀 대학생의 감성 유형화)

  • 나영주;조길수
    • Science of Emotion and Sensibility
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    • v.5 no.1
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    • pp.9-16
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    • 2002
  • This study was designed to cluster the preferred sensibilities of college students, and to distinguish the most preferred sensibility according to gender and their inter-subject differences. 98 of sensibility adjectives were composed into questionnaire with SD method and the data of 176 students were analyzed in ANOVA, Cluster and Correspondence analysis using SAS package. College students were divided into 10-sensibility clusters: the Casual(no-decoration casual, cool-dynamic casual and elaborate-clean casual), the Romantic Modem, the Simple Natural, the Classic(craft-romantic classic and monotonous classic), the Expressionless, the Gorgeous, and the Traditional Folklore. The adjectives and the sensibility clusters of students were visualized together into 2-D with two axis of static vs. dynamic and light vs. heavy.

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Grouping and Visualization of Preferred Sensations among College students (선호하는 감성어휘 분석을 통한 남녀대학생의 감성 유형화)

  • 한경미;나영주;조길수
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2001.11a
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    • pp.15-18
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    • 2001
  • 98가지 감성 형용사를 수집하여 176명의 남녀대학생을 대상으로 SD법에 의해 선호도를 조사한 결과, 선호감성어휘는 '로맨틱, 센수얼, 캐주얼, 클래식, 캐릭터, 프린스, 심플, 복고풍, 모던, 수공예, 테크노' 등으로 요약되었는데 이를 바탕으로 군집분석을 시행하여 선호 감성을 유형화시켰다. 남녀대학생이 선호감성은 크게 10가지의 유형으로 나타났는데, 대부분의 대학생들이 '캐주얼파였으나(32.4%), 이는 구체적으로 '비장식개성캐주얼파, 역동쿨개성캐주얼파'였으며, 다음으로는 '단순내추럴파'가 17.3%였다. 이후 '클래식파(9.2%-수공예로맨틱클래식파, 획일적클래식파', '비표현파(8.7%)', '호화개성복고파(6.4%)', '민족감성선호파(4.6%)' 등이 있었다. 대학생을 집단들은 크게 두 개의 선호 감성축(정적-동적, 경량-중량)을 중심으로 가시적으로 그룹화 될 수 있었다.

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Towards Next Generation Multimedia Information Retrieval by Analyzing User-centered Image Access and Use (이용자 중심의 이미지 접근과 이용 분석을 통한 차세대 멀티미디어 검색 패러다임 요소에 관한 연구)

  • Chung, EunKyung
    • Journal of the Korean Society for Library and Information Science
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    • v.51 no.4
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    • pp.121-138
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    • 2017
  • As information users seek multimedia with a wide variety of information needs, information environments for multimedia have been developed drastically. More specifically, as seeking multimedia with emotional access points has been popular, the needs for indexing in terms of abstract concepts including emotions have grown. This study aims to analyze the index terms extracted from Getty Image Bank. Five basic emotion terms, which are sadness, love, horror, happiness, anger, were used when collected the indexing terms. A total 22,675 index terms were used for this study. The data are three sets; entire emotion, positive emotion, and negative emotion. For these three data sets, co-word occurrence matrices were created and visualized in weighted network with PNNC clusters. The entire emotion network demonstrates three clusters and 20 sub-clusters. On the other hand, positive emotion network and negative emotion network show 10 clusters, respectively. The results point out three elements for next generation of multimedia retrieval: (1) the analysis on index terms for emotions shown in people on image, (2) the relationship between connotative term and denotative term and possibility for inferring connotative terms from denotative terms using the relationship, and (3) the significance of thesaurus on connotative term in order to expand related terms or synonyms for better access points.

A Study on the Intellectual Structure of Domestic Open Access Area (국내 오픈액세스 분야의 지적구조 분석에 관한 연구)

  • Shin, Jueun;Kim, Seonghee
    • Journal of the Korean Society for Library and Information Science
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    • v.55 no.2
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    • pp.147-178
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    • 2021
  • In this study, co-word analysis was conducted to investigate the intellectual structure of the domestic open access area. Through KCI and RISS, 124 research articles related to open access in Korea were selected for analysis, and a total of 1,157 keywords were extracted from the title and abstract. Network analysis was performed on the selected keywords. As a result, 3 domains and 20 clusters were extracted, and intellectual relations among keywords from open access area were visualized through PFnet. The centrality analysis of weighted networks was used to identify the core keywords in this area. Finally, 5 clusters from cluster analysis were displayed on a multidimensional scaling map, and the intellectual structure was proposed based on the correlation between keywords. The results of this study can visually identify and can be used as basic data for predicting the future direction of open access research in Korea.