• Title/Summary/Keyword: Factors Analysis

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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.

Factors Affecting Quality Management Failure in Construction Projects

  • Lee, Seulki;Yu, Joungho
    • Korean Journal of Construction Engineering and Management
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    • v.25 no.4
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    • pp.66-81
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    • 2024
  • Identifying the root causes of substandard construction projects is crucial considering the social and economic issues structural failures can cause. To date, the focus has predominantly been on identifying and penalizing the culprits rather than uncovering the fundamental reasons. Therefore, this study aims to identify various factors that contribute to failures in construction project quality management, including aspects of substandard construction projects, and determine the relationship between these factors and substandard construction projects. Through a literature review and case analysis, 61 influential factors were identified. A survey targeting participants including structural designers, architectural designers, construction companies, CM, and researchers was conducted to gauge the consensus on these factors. A regression analysis was performed based on data from 724 survey respondents. Ultimately, based on the 17 key influencing factors identified by the regression analysis, 9 preventive measures against substandard construction projects were proposed. This study is significant as it elucidates the reasons behind construction project quality management failures that lead to substandard construction projects and establishes a framework for developing practical solutions to real-world problems rather than theoretical or abstract ones.