• Title/Summary/Keyword: Analysis Factors

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A study on the Situations of Fashion Design Education in Busan (부산 패션디자인 교육의 현황에 관한 연구)

  • Park Tae-Yong
    • Journal of the Korean Society of Clothing and Textiles
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    • v.29 no.5 s.142
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    • pp.585-594
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    • 2005
  • The purpose of this study was to analyze the situations and satisfaction of fashion design education in Busan, and the way to promote it. Data were collected from 192 college(university) students and 185 vocational students living in Busan and analysed by frequency analysis, factor analysis, Cronbach's $\alpha$, multiple regression, and t-test. The results are as follow; 1. Factor analysis has extracted three factors: environmental factors, student factors and quality of education factors. 2. The biggest factor that affects the satisfaction level of the education fumed out to be the student factors, followed by the environmental factors. 3. Demonstrated that vocational students were more satisfied with their education and had a higher degree of pride and confidence in their educational factors and level of satisfaction than college(university) students. In conclusion, we must encourage the industrial-educational corporation to promote the practicality of the fashion design education system and make diversification and specialization of the curriculum of fashion design education to cultivate students of talent.

The Spatial and Environmental Characteristics Analysis of Wild Animals Using GIS: a Case Study of Baekdudaegan Region, Gangwon-do (GIS를 이용한 야생동물의 공간적·환경적 분포특성 분석: 강원도 백두대간 보호지역을 대상으로)

  • Park, Jeongmook;Lee, Jungsoo
    • Journal of Forest and Environmental Science
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    • v.29 no.1
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    • pp.90-98
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    • 2013
  • The purpose of this study was to understand the geographical and environmental distribution of wild animals in Baekdudaegan region using field survey and GIS data. Crucial factors were selected and analyzed to understand the distributional characteristics of wild animals (7 species in 6 families) and rare endemic plants (14 species in 11 families). These crucial factors include stand factors (forest type, DBH class, and crown density), soil factors (bed rock, soil texture, and organic matter), geographical factors (elevation, slope, aspect) and climatic factors (temperature, rain fall, humidity). Finally, 10 factors were selected by statistical analysis and categorized for analyzing geographical and environmental features. Four families such as Muridae, Sciuridae, Suidae and Talpidea in wild animal showed the similar habitat characteristics with the 10 factors.

Analysis of Construction-phase Risk Factors for SMEs' Advance into the Overseas Plant Construction Projects

  • Park, Moonsun;Lee, Kyosun
    • International conference on construction engineering and project management
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    • 2017.10a
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    • pp.328-331
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    • 2017
  • The purpose of this study is to derive construction-phase risk factors in SMEs' advance into overseas plant construction projects. For this, construction-phase risk factors were investigated on the basis of the analysis of Korean construction companies, overseas plant industry-related research institutes, and overseas data. In addition, major risk factors were derived from the investigated construction-phase risk factors, and quantitative risk factors and qualitative risk factors were analyzed and derived from these major risk factors, by the use of three rounds of the Delphi analysis.

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The Analysis of User's Degree on Landscape Satisfaction Factors for Pedestrian Road -Case Study of Bun-Dang New Town- (보행자 전용도로의 이용자 경관만족 요인분석 -분당 신도시를 중심으로-)

  • Kim, Dae-Hyun
    • Journal of the Korean Society of Environmental Restoration Technology
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    • v.4 no.2
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    • pp.1-10
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    • 2001
  • The purpose of this study was to investigate factors and variables which have significant effects on landscape satisfaction of urban pedestrian road in Bun-dang new town and to suggest basic information for urban pedestrian road design. These works consist of two phase. First, we tested the Hye-Cheon college students' degree of landscape satisfaction for 37 spots of urban pedestrian road and then selected 10 sports slide by the Sturges' formula. Second, we analysed factors and variables on landscape satisfaction of urban pedestrian road using the semantic differential scale method and then processed using descriptive analysis, factor analysis and multiple linear regression analysis. The major findings of this study can be summarized as follows; 1) The difference of landscape adjectives between the highest score of landscape satisfaction slide and the lowest score landscape satisfaction slide were diversity of vegetation, plenty of the shade of a tree, naturalness and cleanness. 2) Diversity of vegetation, width of road, freedom of danger and diversity of environment can be significant variables of major effects on landscape satisfaction of urban pedestrian road by using the multiple linear regression analysis. 3) Factors covering the landscape satisfaction of urban pedestrian road have been found to be Environment of urban pedestrian road and Constitution of urban pedestrian road. By using the Varimaxs' rotation factor analysis for the number of factors' cumulative percentage has been obtained as 64%. 4) Environment of urban pedestrian road and Constitution of urban pedestrian road can be significant factors of major effects on landscape satisfaction of urban pedestrian road by using the multiple linear regression analysis. In conclusion, the landscape satisfaction factors and variables of urban pedestrian road need to be considered in plan or design the urban pedestrian road.

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An Analysis on the Structure of Meaning for Amenities of Sound Environment II -Psychological Evaluation Factors and Attributes of Noise- (음환경의 쾌적성에 관한 의미구조의 분석 II -소음의 심리적 평가요인과 속성-)

  • 한명호;김선우
    • Journal of KSNVE
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    • v.8 no.4
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    • pp.706-714
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    • 1998
  • The purpose of this study is to analyse the main factors and attributes of psychological evaluation to noise. For this purpose, a psycho-acustic experiment was conducted by using the method of rating scale. 52 subjects were participated in the experiment, 20 stimuli were presented to subjects in random order with 23 adjectives. As a result of factor analysis, it was found that the primary factors for evaluating the quality of noise subjectively are four factors of unpleasantness, intensity, irregularity, and sharpness. And, as a result of MDPREF(multi-dimensional analysis of preference data), it was found that the noise sources including the factors of unpleasantness, intensity, and irregularity are related to the sounds of hammering in construction field, car horn, road traffic, idling of car, and printing by computer printer, and the factor of sharpness are the sounds of car siren, claps of thunder, car horn, and snowstorm etc.

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Analysis of Human Factors Involved in Construction Projects by Accident Types Approach (사고 형태별 접근을 통한 건설 프로젝트에서의 인적 요인 분석)

  • 이상영;정병호
    • Journal of the Korean Society of Safety
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    • v.14 no.1
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    • pp.150-157
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    • 1999
  • Developed in the study is the analysis of human factors involved in accidents of Korean Construction Projects. The 556 cases are sampled from a survey material 'Serious Accident Cases in the Construction Projects' edited by Korea Industrial Safety Corporation in 1995 through 1997. The analysis of these cases shows that existing classification system is not good for practical applications in real spots since they are difficult for engineers to understand. In this paper, human factors are classified into three groups by extracting the analysis and arrangement of the cases. Futhermore, We'll propose here a new type of accident which is subdivided. If engineers use this type of accident, they will be probably able to analyze efficiently human factors which are involved in accidents and relatied with how it happen. In the case of fall and upset accidents, personal factors seem to be critical when workers are horizontally moving in an unstable manner, and vertically moving without boarding facilities. Futhermore work environmental factors are important when workers release some materials and are performing building and dismantling tasks.

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The Effects of Enjoyment Factors on Recreation Specialization of Water Sports Participants (해양스포츠 참여자의 즐거움 요인이 레크리에이션 전문화에 미치는 영향)

  • NAM, Sang-Back;KWON, Il-Kwon
    • Journal of Fisheries and Marine Sciences Education
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    • v.28 no.2
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    • pp.356-365
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    • 2016
  • The purpose of this study was to verify the influences of sport enjoyment factors on recreation specialization of water sports participants. The study conducted a research survey through purposive sampling method after selecting 4 water sports center in Busan. 260 questionnaires distributed and 246 were selected as final valid sample by removing 14 questionnaires that have insufficient answers. Then data were analyzed through exploratory factor analysis, reliability analysis, correlation analysis, and multiple regression analysis using SPSS Window ver. 20.0. The results were as followings. First, the enjoyment factors have a positive effect on recreation specialization. Second, escaping from daily routine and improving technical skill dimensions of enjoyment factors have an influence on centrality of life. Third, improving technical skill dimension of enjoyment factors have a positive effect on past experience. Lastly, flow and improving technical skill dimensions of enjoyment factors have an influence on economic investment.

Analysis of the Risk Influence Factors in Apartment Building Development Projects

  • Lee, Sung-Ho;Kim, Sun-Kuk;Suh, Sang-Wook
    • Journal of the Korea Institute of Building Construction
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    • v.13 no.4
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    • pp.424-433
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    • 2013
  • There have been few attempts made to perform a systematic analysis of the various risk influence factors in building development projects. This study suggests an analysis of the risk influence factors in the process of feasibility studies for apartment building development projects. To reflect the voice of professionals, surveys were carried out. In addition, an FD-AHP method was applied to identify the importance of the risk influence factors. Through the surveys, major risk factors were separately identified as direct and/or indirect elements. An analysis of risk influence factors supports an effective feasibility study of apartment building development projects.

The Optimal Design Method of the Train Repair Facility based on the Simulation (시뮬레이션을 이용한 철도 정비 시설의 최적 설계 방법)

  • Um, In-Sup;Cheon, Hyeon-Jae;Lee, Hong-Chul
    • Journal of the Korean Society for Railway
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    • v.10 no.3 s.40
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    • pp.306-312
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    • 2007
  • This paper presents the optimal design method of the train repair facility based on the simulation analysis. The train is divided into the power car, motorized car and passenger car for the simulation process analysis and train repair facility is composed of each subsystems such as a blast, dry and wash workshop. In simulation analysis, we consider the critical (dependent) factors and design (independent) factors for the optimal design. Therefore, a simulation optimization uses Evolution Strategy (ES) in order to find the optimal design factors. Experimental results indicate that simulation design factors are sufficient to satisfy the conditions of dependent variables. The proposed analysis method demonstrates that simulation design factors determined by the simulation optimization are appropriate for real design factors in a real situation and the accuracy and confidence for the simulation results are increased.

Country Clustering Based on Environmental Factors Influencing on Software Piracy (소프트웨어 불법복제에 영향을 미치는 환경 요인에 기반한 국가 분류)

  • Suh, Bomil;Shim, Junho
    • The Journal of Information Systems
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    • v.26 no.4
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    • pp.227-246
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    • 2017
  • Purpose: As the importance of software has been emphasized recently, the size of the software market is continuously expanding. The development of the software market is being adversely affected by software piracy. In this study, we try to classify countries around the world based on the macro environmental factors, which influence software piracy. We also try to identify the differences in software piracy for each classified type. Design/methodology/approach: The data-driven approach is used in this study. From the BSA, the World Bank, and the OECD, we collect data from 1990 to 2015 for 127 environmental variables of 225 countries. Cronbach's ${\alpha}$ analysis, item-to-total correlation analysis, and exploratory factor analysis derive 15 constructs from the data. We apply two-step approach to cluster analysis. The number of clusters is determined to be 5 by hierarchical cluster analysis at the first step, and the countries are classified by the K-means clustering at the second step. We conduct ANOVA and MANOVA in order to verify the differences of the environmental factors and software piracy among derived clusters. Findings: The five clusters are identified as underdeveloped countries, developing countries, developed countries, world powers, and developing country with large market. There are statistically significant differences in the environmental factors among the clusters. In addition, there are statistically significant differences in software piracy rate, pirated value, and legal software sales among the clusters.