• Title/Summary/Keyword: Multidimensional analysis

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Formas y Funciones Fáticas de Los Rituales de Saludo y Despedida en el Contexto Médico

  • Choi, Hong-Joo
    • Iberoamérica
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    • v.22 no.1
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    • pp.111-148
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    • 2020
  • One way for phatic communication to be linguistically realized involves ritual activities, such as greetings and leave-takings. These conventionalized acts in medical contexts can significantly influence both transactional and interpersonal goals. The analysis in this paper confirms that exchanging rituals such as greeting and leave-taking between doctors and patients is not a simple exchange of conventionalized linguistic symbols. In addition, the use of discursive strategies means that to determine whether an expression is phatic or not, it is necessary to analyze it from the multidimensional perspective. The phaticity is established based on the negotiation between the participants during the interaction. We have found that the interrogative form of greeting like "¿Qué tal?" (How are you?) becomes a versatile resource in the medical context. Thus, professionals need to be attentive to the discourse progress, because the phaticity of the interrogative greetings (illocutionary force) is linked, in the vast majority, with the reaction of the patients. Also, the data confirms that when participants coordinate closings, the exchange of turns lengthens and the intervention of various discursive strategies for phatic communion becomes more prominent.

Data Access Control Method for The Efficient Information Security on OLAP (OLAP 상에서 효율적인 정보 보호를 위한 데이터 접근 제어 방법)

  • Min, Byoung-Kuk;Choi, Okkyung;Yeh, Hong-Jin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2011.11a
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    • pp.1211-1214
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    • 2011
  • OLAP(On-Line Analytical Processing) 툴은 조직 운영에서 발생하는 데이터의 양이 많아짐에 따라 분석 수요도 함께 급증하며 전문 분석가의 역량만으로는 처리할 수 없는 분석 요구 사항을 충족시키기 위한 툴이다. OLAP 에서는 다양한 사용자가 직접 데이터베이스에 접근하여 대화식으로 질의를 던지고 응답을 받아 분석 업무를 진행할 수 있다. 이렇게 많은 사용자들이 데이터베이스에 직접 접근을 하게 됨에 따라 조직의 민감한 데이터를 지키기 위한 보안 정책이 필수가 되었다. 하지만 기존 연구에서는 OLAP 의 기능적인 분석에 치중하여 MDX(Multidimensional Expressions)와 XMLA(XML for Analysis) 등의 기법으로 기능을 구현하는 것에 그치고 있다. 이에 본 연구에서는 OLAP 보안 관련 연구를 분석하고 보안 모듈을 설계하여 효율적인 정보 보호를 위한 데이터 접근 제어 방법을 제시한다.

Development and Validation of a Multidimensional Measure of Positive Body Image

  • Lee, Minsun;Lee, Hyun-Hwa
    • Journal of the Korean Society of Clothing and Textiles
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    • v.46 no.4
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    • pp.704-722
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    • 2022
  • Current studies validate the Body Positive Scale (BP Scale) as a self-assessment instrument that captures four dimensions of the positive body image construct. We developed and evaluated a 17-item BP Scale using two focus group interviews and four independent samples (n = 1,379) of Korean women who completed online survey questionnaires. We generated an initial pool of items via literature review, content validation with experts, and focus group interviews, subsequently refining the items through exploratory analysis (Study 1). We confirmed the BP Scale's underlying dimensions with young Korean female samples (Study 2, Study 4) and with a community sample (Study 3). We also examined the construct validity, internal consistency, and test-retest reliability over a six-week interval. Overall, the results supported that the four-factor BP Scale demonstrates adequate validity and reliability in measuring positive body image among Korean women. The BP Scale provides a method for researchers and practitioners to understand and assess individuals' positive body image in a multifaceted manner.

A dimensional reduction method in cluster analysis for multidimensional data: principal component analysis and factor analysis comparison (다차원 데이터의 군집분석을 위한 차원축소 방법: 주성분분석 및 요인분석 비교)

  • Hong, Jun-Ho;Oh, Min-Ji;Cho, Yong-Been;Lee, Kyung-Hee;Cho, Wan-Sup
    • The Journal of Bigdata
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    • v.5 no.2
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    • pp.135-143
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    • 2020
  • This paper proposes a pre-processing method and a dimensional reduction method in the analysis of shopping carts where there are many correlations between variables when dividing the types of consumers in the agri-food consumer panel data. Cluster analysis is a widely used method for dividing observational objects into several clusters in multivariate data. However, cluster analysis through dimensional reduction may be more effective when several variables are related. In this paper, the food consumption data surveyed of 1,987 households was clustered using the K-means method, and 17 variables were re-selected to divide it into the clusters. Principal component analysis and factor analysis were compared as the solution for multicollinearity problems and as the way to reduce dimensions for clustering. In this study, both principal component analysis and factor analysis reduced the dataset into two dimensions. Although the principal component analysis divided the dataset into three clusters, it did not seem that the difference among the characteristics of the cluster appeared well. However, the characteristics of the clusters in the consumption pattern were well distinguished under the factor analysis method.

Depth-dependent Variability of Fish Fauna in the Coastal Waters off Hupo, East Sea (동해 후포 연안 어류상의 수심별 차이)

  • Lee, Chung Il;Jung, Hea Kun;Kwon, Soon Man;Han, Moon Hee;Seol, Kang Su;Park, Joo Myun
    • Korean Journal of Ichthyology
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    • v.30 no.1
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    • pp.36-45
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    • 2018
  • The temporal and depth-related variations in the species composition and abundance of demersal fish assemblage were studied in the coastal waters off Hupo, East Sea. Fish samples were collected seasonally between 2011 and 2017 at two stations of study area using trammel net and bottom gill net. In total, 46 fish species belonging to 17 families were collected during study period, with 36 and 22 species occurring in depths of ~80 m (site A) and ~140 m (site B), respectively. Glyptocephalus stelleri, Cleisthenes pinetorum and Gymnocanthus herzensteini were abundant at shallower site, and Dasycottus setiger at deeper site. The number of species, abundance, biomass and diversity fluctuated with water depth, but not temporally (both seasonally and annually). Analysis of similarity (ANOSIM) revealed that the fish assemblage structures were significantly different with water depth, but not by year or season. Non-metric multidimensional scaling (MDS) ordination plot emphasized visually in spatial difference of fish assemblages, and it was due to differential contributions of dominant species in relation to water depth and temperature.

Study about Library and Information Center's Image of Library and Information Science Students as Workplace (문헌정보학과 학생의 직장으로서의 도서관·정보센터 이미지 분석)

  • Cho, Jane;Lee, Jiwon
    • Journal of the Korean Society for Library and Information Science
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    • v.50 no.3
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    • pp.113-132
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    • 2016
  • Positioning technique which has been widely used for making marketing strategy by analyzing customer's image also has been used for public and test-taker's image analysis about public facilities, entrepreneurs, universities. This study analyze image of library and Information science students who trying to find a job in library fields about diverse types of library and information centers by Positioning technique. As a result of Similarity cognition analysis by multidimensional Scaling and K-means clustering, it was found that students recognize that public, national, university, school library are similar, on the other hand, portal company and special library are different from those types. In the jobs, user service jobs and technical service jobs are recognized as separated clusters, and cultural program job is also recognized dissimilarly from those clusters. By the way, images about work satisfaction and stability of employment shows high in national library; high wage shows high in portal company; employee's growth potential shows high in special library; job importance shows high in reference service jobs; difficulty shows high in content's job. Anyway, in the workplace selection, almost students regard stability of employment as top priorities, accordingly they prefers public library at most. Such a preference concentration tendency is strongly appeared in local university students than in metropolitan area students as a result of Pearson's chi-square test.

Comparison of Spatio-temporal Variations of Phytoplankton Communities in Lakes in the Boseong River Basin (보성강 유역에 위치한 호수에서의 식물플랑크톤의 시공간적 군집 비교 분석)

  • Cho, Hyeon Jin;Na, Jeong Eun;Lee, Hak Young
    • Korean Journal of Ecology and Environment
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    • v.53 no.1
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    • pp.11-21
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    • 2020
  • In this study, we compared the spatio-temporal differences of phytoplankton communities among 4 lakes in the Boseong River basin. Field research was conducted quarterly from 2014 to 2017 for this study. A total of 345 species of phytoplankton were identified including 107 Bacillariophyceae, 175 Chlorophyceae, 27 Cyanophyceae and 36 other phytoplankton taxa. Lake Boseong showed higher species numbers and density of phytoplankton than other lakes (Dunn's test, P<0.01). Bacillariophyceae such as Asterionella formosa, Aulacoseira granulata, Fragilaria crotonensis was dominated in most research periods, whereas Scenedesmus ecornis and Coelastrum cambricum belonging to Chlorophyceae were dominant species on August. The self-organizing map (SOM) classified 3 clusters with 10 × 7 grid and showed spatio-temporal variation of phytoplankton communities based on significant difference among each clusters. Total 31 species of phytoplankton were chosen as a indicator species using indicator species analysis(ISA) and reflected seasonal phytoplankton succession and diversity and density of phytoplankton according to nutrient concentration. Water temperature, Secchi depth, conductivity and DO were identified as important factors affecting the differences of phytoplankton communities in the studied lakes in Boseong River basin using non-metric multidimensional scaling (NMDS).

Changes in the Occupational Structure and the Spatial Characteristics of Employment Distribution in Korea (한국 직업구조의 변화와 고용분포의 공간적 특성)

  • Park, So Hyun;Lee, Keumsook
    • Journal of the Korean Geographical Society
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    • v.51 no.3
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    • pp.401-420
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    • 2016
  • This study aims to investigate the changes in the occupational structure of employment in Korea during the last three decades, in which have transformed from industrialized economy to knowledge-based economy very rapidly as well as having experiences of both IMF and financial crisis. For this purpose, we analyze the trends occupational distribution and the socio-demographic characteristics of the occupational structure of employment since 1980. By applying correspondence analysis of Multidimensional Scaling(MDS) methods, we examine the inter-relationships between the employed persons by occupation and their characteristics such as gender, age group, educational attainment, industry, region. We found the occupational structure of Korea has been changed dramatically with the socio-economic transformations during the last four decades. In particular, the occupational (job) structure has been highered in general. However, it has also been dualized extremely into two groups, one is the specialized-skilled-white color jobs and the other is the simple-unskilled-blue color jobs. The results of this study could be utilized as the importation basis for the provision of labour supply and employment policy plan at the national level as well as at the local level.

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Importance and Satisfaction Rating Assessment of users Regarding BRT Facility and Operation : The Case of Busan (BRT 시설 및 운영에 관한 이용자의 중요도 만족도 평가 : 부산광역시를 중심으로)

  • Kim, Seong Eun;Jung, Hun Young
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.39 no.5
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    • pp.595-603
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    • 2019
  • To alleviate the demand on private car that is constantly increasing, Busan Metropolitan City (BMC) has established Bus Rapid Transit (BRT) to revitalize public transportation. But there are no unified lane system between BRT and general bus stations, which makes off-lane turning general bus to contribute to congestion. And as the bottleneck phenomenon at entrance/exit accelerates the congestion, there has been huge dissatisfaction among commuting drivers. Therefore, this study identifies efficient methods to operate better through measuring civilian awareness. We evaluate both satisfaction and drawbacks on BRT service with Importance-Performance Analysis (IPA). We first distinguish the groups by the awareness on BRT and their main transit usage, and then clarify the difference between the groups. And as a result, the group who is positive to BRT and uses buses often demands improvement in bus indoor comfort and curbing jaywalking. On the other hand, group who is negative to BRT and uses private cars often demands improvement in lane changing and the moving speed of private cars. We next examines the groups with MDPREF, one method of Multidimensional Scaling (MDS). And we have clarified that the evaluating criteria and the individual attributes of the groups corresponds very well.

Dimensionality of emotion suppression and psychosocial adaptation: Based on the cognitive process model of emotion processing (정서 처리의 인지 평가모델을 기반으로 한 정서 억제의 차원성과 심리 사회적 적응)

  • Woo, Sungbum
    • Korean Journal of Culture and Social Issue
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    • v.27 no.4
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    • pp.475-503
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    • 2021
  • The purpose of this study is to clarify the constructs of emotion suppression and help understanding on the multidimensional nature of emotion suppression by classifying constructs for suppression according to the KMW model. Also, this study examined the gender differences of emotion suppression. For this purpose, 657 adult male and female subjects were evaluated for attitude toward emotions, and difficulty in emotional regulation, as well as depression, state anger and daily stress scale. As a result of the exploratory factor analysis on the scales related to the emotion suppression factors, the emotion suppression factors corresponding to each stage of the KMW model were found to be 'distraction against emotional information, 'difficulty in understanding and interpretation of emotions', 'emotion control beliefs', 'vulnerability on emotional expression beliefs'. Next, the study participants were classified by performing a cluster analysis based on each emotion suppression factor. As a result, four clusters were extracted and named 'emotional control belief cluster', 'emotional expression cluster', 'emotional attention failure cluster', and 'general emotional suppression cluster'. As a result of examining the average difference of male depression, depression, state anger, and daily stress for each group, significant differences were found in all dependent variables. As a result of examining whether there is a difference in the frequency of emotional suppression clusters according to gender, the frequency of emotional suppression clusters was high in men, and the ratio of emotional expression clusters was high in women. Finally, it was analyzed whether there was a gender difference in the effect of the emotional suppression cluster on psychosocial adaptation, and the implications were discussed based on the results of this study.