• Title/Summary/Keyword: 다차원척도

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Physical Colorimetric Properties and Psychological Sensibility Factor of Naturally Dyed Fabrics (천연염색직물의 물리적 색채 특성과 심리적 감성 요인)

  • Lee, Eu-Gene;Lee, Kyung-hyun;Cho, Gil-Soo
    • Science of Emotion and Sensibility
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    • v.19 no.3
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    • pp.3-14
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    • 2016
  • This study is aimed to measure the physical colorimetric property according to three conditions, natural dyestuffs (Gardenia, Sappan wood, Lac, Gardenia blue, Mugwort, and Indigo), fabric types (cotton, silk), and presence of mordant (without, with), and then to evaluate the psychological sensibility. Also, to perform analysis of variance (ANOVA) to find out the differences of physical properties according to the three natural dyeing conditions, and to analyze the relationship between physical property and psychological property by Pearson's correlation analysis and then suggest the prediction model by regression analysis using SPSS program (ver. 21.0). Finally, to propose a certain sensibility image map of naturally dyed fabrics, MDS (Multidimensional Scaling) was used, and as a result, Gardenia dyed fabrics having the color sensibilities such as 'hard' and 'heavy' were suggested to evoke masculine image, and to evoke feminine image, Sappan wood and Lac having 'bright', 'transparent', 'soft' and 'light' sensibilities were suggested. Natural image might be induced by using 'subdued' Mugwort dyed fabrics, and active image might be induced by using 'showy' Indigo dyed fabric.

Impacts of Sand Mining on the Macrobenthic Community in Gyeonggi Bay, Korea (경기만에서 해사채취가 대형저서동물 군집구조에 미치는 영향)

  • Yu, Ok-Hwan;Lee, Hyung-Gon;Lee, Jae-Hac;Kim, Dong-Sung
    • Ocean and Polar Research
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    • v.28 no.2
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    • pp.129-144
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    • 2006
  • Small-scale effects of sand mining on macrobenthic communities have been reported previously. However, little information is available as to how dredging affects the macrobenthic community structure. The objective of this study was to determine the impacts of large-scale exhibition dredging on the macrobenthic community of Gyeonggi Bay, Korea, where sand mining has continued for 20 years. Prior to dredging, the macrobenthic species composition was similar to that of areas near the dredging site, with several common dominant species found before dredging. After dredging, the number of species, density, and diversity (H') in the experimental area (sites 0 and 1) decreased significantly, but no difference was observed at other sites. Multivariate analysis (multidimensional scaling) revealed significant differences in community structure before and after dredging. The amphipod Urothoe grimaldii japonica, which was the most dominant species at sites 0,1, and 2, decreased rapidly at sites 0 and 1 after dredging, but no difference was observed at site 2. In addition, the index of multivariate dispersion (IMD) and the relative IMD (r. IMD) were large at sites 0 and 1, suggesting that the effects of dredging were direct at site 0 and 1, but indirect at site 2. The macrobenthic communities at sites 3 and 4 were not affected by dredging, but they were affected by physical conditions and biological interactions. We suggest that benthic biotope indices such as the IMD and r.IMD may constitute a valid tool for assessing the effects of dredging on the macrobenthic community; long-term monitoring is required to verify this.

Structuralization Expected Outcome of Social Welfare Program Based on Community Network : Using Concept Mapping Method (지역사회네트워크를 기반으로 한 사회복지프로그램 기대성과 구조화 : 컨셉트 맵핑(concept mapping)을 활용하여)

  • Kwon, Sunae
    • The Journal of the Korea Contents Association
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    • v.14 no.5
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    • pp.107-116
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    • 2014
  • The purpose of this study is to verify the applicability of concept mapping in the process of planning social welfare program based on community network. Concept mapping is a kind of decision-making method that structuralized complex ideas and presented visually. Already, concept mapping is widely utilized in counseling, nursing and public health area to plan and evaluation their program and service. For recent, effectiveness of concept mapping has been reported. Concept mapping is a effective decision-making method that they recognize outcome gap between service provider and client, reach the outcome's consensus in counseling and nursing, medical area. In this study, we conceptualized 3rd year outcomes of Community Impact Project that was supported from Busan Chest using concept mapping. This CI project intervenes children and youth who lives in Buk-gu, Busan. Concept mapping has six stages-preparation, collecting ideas, structuring statements, representing statement, interpreting the results of the analysis, applying the results. We followed these steps. The participants were working at social welfare organizations, total 11 persons. We obtained 60 statements and analyzed using multidimensional scaling. we collected 5 clusters, cluster 1 'awareness and attitude change of children and youth', cluster 2 'social system change of children and youth', cluster 3 'friendly community formation', cluster 4 'community people change', cluster 5 'service provider change'. As a result, among total 5 clusters formed, 'awareness and attitude change of children and youth' came to the strongest outcomes. When concept mapping was applied to the program planning, the consensus of the opinion came easily in the decision-making process, and the participants were empowered. In addition, clear conceptualization on each element of the program planning was made.

Analysis of Enactment and Utilization of Korean Industrial Standards(KS) by Time Series Data Mining (시계열 자료의 데이터마이닝을 통한 한국산업표준의 제정과 활용 분석)

  • Yoon, Jaekwon;Kim, Wan;Lee, Heesang
    • Journal of Technology Innovation
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    • v.23 no.3
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    • pp.225-253
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    • 2015
  • The standard is a nation's one of the most important industrial issues that improve the social and economic efficiency and also the basis of the industrial development and trade liberalization. This research analyzes the enactment and the utilization of Korean industrial standards(KS) of various industries. This paper examines Korean industries' KS utilization status based on the KS possession, enactments and inquiry records. First, we implement multidimensional scaling method to visualize and group the KS possession records and the nation's institutional issues. We develop several hypothesis to find the decision factors of how each group's KS possession status impacts on the standard enactment activities of similar industry sectors, and analyzes the data by implementing regression analysis. The results show that the capital intensity, R&D activities and sales revenues affect standardization activities. It suggests that the government should encourage companies with high capital intensity, sales revenues to lead the industry's standard activities, and link the policies with the industry's standard and patent related activities from R&D. Second, we analyze the impacts of each KS data's inquiry records, the year of enactments, the form and the industrial segment on the utilization status by implementing statistical analysis and decision tree method. The results show that the enactment year has significant impact on the KS utilization status and some KSs of specific form and industrial segment have high utilization records despite of short enactment history. Our study suggests that government should make policies to utilize the low-utilized KSs and also consider the utilization of standards during the enactment processes.

A Study of Concepts on the Brand Love (브랜드 사랑 구성개념에 대한 연구)

  • Min, Guihong;Park, Pumsoon
    • The Journal of the Korea Contents Association
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    • v.20 no.8
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    • pp.315-326
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    • 2020
  • Corporate efforts to build strong brands have made consumers interested in brand love. In the field of brand love, however, there is a lack of systematic research on the multidimensionality of the concept of brand love and on the scale development to measure it. Thus, based on the methodological research design of Churchill(1979) and DeVellis(1991), this study explored properties of brand love and classified them into two levels - 'emotion' and 'relationship' - and generated corresponding measurement items. To do this, the research was conducted in a total of eight stages, including preliminary studies such as literature review, open surveys, and in-depth interviews, as well as the main study process in which the factors were analyzed step by step. As a result, the level of emotion appeared to have five subcomponents (self-esteem, warmth, interest, responsibility, pleasure) with 19 items, and the level of relationship - three subcomponents (unchanging, sharing/supporting, understanding) with 11 items, adding up to a total of 30 measurement items for brand love with reliability, convergent and discriminant validity, and nomological validity. Additionally, we intended to expand the scope of research related to brand love by presenting the result model of organic interaction between the concepts that constitute brand love and proposing '4 categories of brand love strength' based on it.

Building the Data Mart on Antibiotic Usage for Infection Control (감염관리를 위한 항생제 사용량 데이터마트의 구축)

  • Rheem, Insoo
    • Korean Journal of Clinical Laboratory Science
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    • v.48 no.4
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    • pp.348-354
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    • 2016
  • Data stored in hospital information systems has a great potential to improve adequacy assessment and quality management. Moreover, an establishment of a data warehouse has been known to improve quality management and to offer help to clinicians. This study constructed a data mart that can be used to analyze antibiotic usage as a part of systematic and effective data analysis of infection control information. Metadata was designed by using the XML DTD method after selecting components and evaluation measures for infection control. OLAP-a multidimensional analysis tool-for antibiotic usage analysis was developed by building a data mart through modeling. Experimental data were obtained from data on antibiotic usage at a university hospital in Cheonan area for one month in July of 1997. The major components of infection control metadata were antibiotic resistance information, antibiotic usage information, infection information, laboratory test information, patient information, and infection related costs. Among them, a data mart was constructed by designing a database to apply antibiotic usage information to a star schema. In addition, OLAP was demonstrated by calculating the statistics of antibiotic usage for one month. This study reports the development of a data mart on antibiotic usage for infection control through the implementation of XML and OLAP techniques. Building a conceptual, structured data mart would allow for a rapid delivery and diverse analysis of infection control information.

Developing an Assessment Model of Library Open Data Quality (도서관의 오픈 데이터 품질측정모델 개발)

  • Park, Jin Ho
    • Journal of the Korean Society for information Management
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    • v.35 no.1
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    • pp.33-59
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    • 2018
  • This study draws on the current momentum to diversify open government data research through multidimensional scaling and model development. It formulates a quality assessment model applicable to library open data, taking into consideration the paucity of such research in the field. The model was developed using the Delphi method and verified for validity and reliability on the basis of a survey administered to library open data users. The results of the fourth round exhibited an average of 4.00 for all measured elements and a minimum validity of .75, rendering the model appropriate for use in quality assessments of library open data. The convergence and stability results provided by the expert panel fell below .50, confirming that there was no need to conduct further surveys in order to establish the validity of the Delphi method. The model's reliability likewise garnered results of .60 and above in all three dimensions. This Model completed with the input of the Delphi panel was put through a verification process in which library open data users such as domestic and international librarians, developers, and open data activists reviewed the model for validity and reliability. The model scored low on validity on account of its failure to load all measure factors and elements pertaining to the three dimensions. Reliability results, on the other hand, were at 0.6 and above for all dimensions and measured elements.

Relationship between Job Stress and Fatigue Symptoms among Manufacturing Male Workers (제조업 남성 근로자의 직무스트레스와 피로와의 관련성)

  • Lee, Hu-Yeon;Baek, Jong-Tae;Cho, Young-Chae
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.17 no.7
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    • pp.543-554
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    • 2016
  • This study examined the fatigue and its association with job stress among male workers engaged in small-scale manufacturing industries. The study subjects were 553 male workers under 50 members of manufacturing industries. The study survey was a structured questionnaire of the Korean Occupational Stress Scale (KOSS) and Multidimensional Fatigue Scale (MFS) during April, 2015. The data were analyzed using the SPSS ver 21.0 program. The results showed that the high risk fatigue group was significantly higher in the high risk group of job stress than in the normal group of job stress. Fatigue was positively correlated with job stress. The odds ratio of the high risk fatigue group were increased significantly in the high risk group of job stress than in the normal group of job stress. The factors of influence with explanatory powers of 27.7% on fatigue included age, marital status, educational level, subject health status, sleeping time, drinking coffee, job tenure, shift work, visiting out-patient department, sense of satisfaction in job life, and job stress. Fatigue was associated with the sociodemographic characteristics, health behavior related characteristics, job-related characteristics, and job stress.

Determining the number of Clusters in On-Line Document Clustering Algorithm (온라인 문서 군집화에서 군집 수 결정 방법)

  • Jee, Tae-Chang;Lee, Hyun-Jin;Lee, Yill-Byung
    • The KIPS Transactions:PartB
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    • v.14B no.7
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    • pp.513-522
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    • 2007
  • Clustering is to divide given data and automatically find out the hidden meanings in the data. It analyzes data, which are difficult for people to check in detail, and then, makes several clusters consisting of data with similar characteristics. On-Line Document Clustering System, which makes a group of similar documents by use of results of the search engine, is aimed to increase the convenience of information retrieval area. Document clustering is automatically done without human interference, and the number of clusters, which affect the result of clustering, should be decided automatically too. Also, the one of the characteristics of an on-line system is guarantying fast response time. This paper proposed a method of determining the number of clusters automatically by geometrical information. The proposed method composed of two stages. In the first stage, centers of clusters are projected on the low-dimensional plane, and in the second stage, clusters are combined by use of distance of centers of clusters in the low-dimensional plane. As a result of experimenting this method with real data, it was found that clustering performance became better and the response time is suitable to on-line circumstance.

Study on Teachers' Perception on Child's Personality Education Using Concept Mapping (개념도를 통한 유아 인성교육에 대한 교사 인식 연구)

  • Park, Jin Hee;Son, Won Kyoung
    • Korean Journal of Childcare and Education
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    • v.10 no.5
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    • pp.191-209
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    • 2014
  • This study aims at figuring out perception of teachers on the education of a child's personality development using concept mapping and demonstrating its importance. To recognize concept mapping of teacher's perception on the education of a child's personality development, the procedure of the research are as follows. The specific research results are as follows: First, based on the categorization, using multidimensional scaling and hierarchical cluster analysis, the results were concept mapping with 2-dimensions and five clusters. Second, dimensions of perception of teachers on the education of a child's personality development in concept mapping, showed virtue in left and performance in right, respectively, in X-axis, while environmental factor was in the upper area and personal factor was in the lower area, in Y-axis. Third, teachers' perception on the importance on education of child's personality development was evaluated in 5 categories as follows: 'Emphasizing adult's role'(M=4.45) was perceived as the most important among categories related to the education of a child's personality development. These results can be used for developing teacher's training program or an institutional supporting plan to raise performance of the education of a child's personality development in the future.