• Title/Summary/Keyword: Industrial Correlation Analysis

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Factors Affecting the Learning Flow of Health Science Students Taking Online Classes due to COVID-19 (코로나 19 (COVID-19)로 인해 온라인 전공 수업을 경험한 보건계열 대학생의 학습몰입에 영향을 미치는 요인)

  • Koo, Sang-Mee;Kang, Moon-Hee
    • Journal of Industrial Convergence
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    • v.20 no.9
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    • pp.81-89
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    • 2022
  • This study investigates the relationships among academic stress, learning satisfaction, and learning flow of the health science college students who take online classes in college. The subjects were 129 students and the data were collected from November 15th, 2020 to December 22th, 2020 using a self-report structured questionnaire. The data analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation analysis, and multiple regression. As a result of this study, academic stress showed a negative correlation between learning satisfaction (r=.-78, p<.001) and learning flow (r=.-70, p<.001). And learning satisfaction showed a positive correlation between learning flow (r=.71, p<.001). In the results of multiple regression analysis, factors influencing the learning flow of students were amount of assignments in online classes, number of online practice courses completed in the last semester, academic stress, and learning satisfaction. All of these variables together explained 59.0%. Therefore, in order to increase learning flow in online classes, strategies to reduce academic stress and development of various educational programs are required.

Effects of Stress, Resilience, and Social Support on Post-Traumatic Growth in Nurses Caring for COVID-19 Patients (코로나19 환자를 간호한 간호사의 스트레스, 회복탄력성, 사회적 지지가 외상 후 성장에 미치는 영향)

  • Eun-kyung Shin;Ji-hyun Kim;Mi-ja Kim;Kyung–Mi Park
    • Journal of Industrial Convergence
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    • v.22 no.4
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    • pp.39-48
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    • 2024
  • This study is a descriptive research study to determine the stress, resilience, and social support of nurses who cared for COVID-19 patients and the impact on post-traumatic growth. The survey was conducted on 179 nurses who cared for COVID-19 patients at a general hospital located in D City from July 19, 2021, to August 10, 2021. The collected data were analyzed using descriptive statistics, t-test, ANOVA, Pearson's correlation coefficient, and multiple regression analysis using SPSS 22.0. Post-traumatic growth showed a significant positive correlation with resilience (r=.499, p=<.001) and social support (r=.494, p=<.001). As a result of multiple regression analysis, prior knowledge about COVID-19 (𝛽=.142, p=.023), resilience (𝛽=.330, p =<.001), and social support (𝛽=.296, p =<.001) was a significant variable affecting post-traumatic growth. These results will be used as basic data to improve nurses' post-traumatic growth.

An Empirical Study on Value-Chain Network of Manufacturing and Implications on Cluster Policy (제조업의 가치사슬 네트워크 분석과 클러스터정책에 대한 시사점)

  • Kim, Yo-Han;Shim, Seung-Jin
    • Journal of Technology Innovation
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    • v.15 no.1
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    • pp.203-233
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    • 2007
  • This study investigates how characteristics in the value-chain industrial cluster affect the R&D investment and the output of firms in each industries. For this, we try to extract the inter-industrial networking structure from the input-output table in which 17 manufacturing sectors are included. In particular, we will give shape to the "unit structure" which shows the intermediary flows of goods and services between industries in order to get an unit of final demand in a certain industry. Using this "unit structure", we can try the inter-industrial networking analysis and get some indices of centrality and centralization related to the characteristics of each industries in the value-chain industrial cluster. The results show that the centrality in the value-chain industrial cluster does not have any consequence for the R&D investment and the output in each industries. However, there is a correlation between the centralization in the value-chain industrial cluster and the R&D investment and the output of firms in each industries. These results may be very suggestive in bringing up a new frame of industrial cluster policy in a macro level.

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Comparison between Ecotoxicity using Daphnia magna and Physiochemical Analyses of Industrial Effluent (산업폐수에 대한 이화학적 분석과 물벼룩 생태독성의 비교)

  • Lee, Sun Hee;Lee, Hak Sung
    • Journal of Environmental Science International
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    • v.23 no.7
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    • pp.1269-1275
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    • 2014
  • Ecotoxicity assessments with the physiochemical water quality items and the bioassay test using Daphnia magna were conducted for 18 selected effluents of 6 industrial types (metal processing, petroleum refining, synthetic textile manufacturing, plating, alcohol beverage manufacturing, inorganic compound manufacturing) being detected toxicity from industrial effluent in Ulsan city, and the interrelationship between total toxic unit (${\Sigma}TU$) and concentrations of Water Quality Conservation Act in Korea were investigated. The average toxic unit(TU) of effluents for 6 industrial types displayed the following ascending order: petroleum refining (0.2) < synthetic textile manufacturing (0.6) < alcohol beverage manufacturing (0.9) < metal processing (1.3) ${\leq}$ inorganic compound manufacturing (1.3) < plating (3.0). These values were less than effluent permission standard. Based on the result of substances causing ecotoxicity, the correlation analysis was not easy because most of heavy metals were not detected or were less than effluent permission standard. Toxicological assessment of industrial effluent was suitable for the evaluation of the mixture toxicity for pollutant. The whole effluent toxicity test using a variety of species was needed for the evaluation of industrial wastewater.

A Study on the Relationship between R&D Culture and Job Involvement in Information Technology Industries (정보기술산업의 R&D 문화와 직무몰입에 관한 연구)

  • Lee, Sun-Kyu;Lee, Ung-Hee;Jeon, Ki-Sang;Han, Soo-Deok
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.29 no.3
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    • pp.103-110
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    • 2006
  • This paper aims to examine the main factors of the organizational climate and analyze their effects on job involvement. To accomplish these purposes, the nam factors of the organizational climate such as diversity, autonomy, redundancy, connectivity and flexibility were found from the previous studies. The questionaries of 350 were distributed to the employees working at the Gumi Industrial Complex. The questionaries of 298 were obtained and 267 were analyzed through frequencies, correlation and multiple regression. The results of this study are as followings; First, we conducted exploratory factor analysis for five constructs(diversity, autonomy, redundancy, connectivity and flexibility) using oblique rotation method that did not assume independence among the factors and main factors of knowledge management were grouped together by five factors. Second, it is shown that four main factors of organizational climate have a positive influence on the job involvement(p<0.05). This study, however, have limitations of number of sample and survey area. The future study should consider these limitations in improving model applicability in practice.

A study on the Correlation of between Online Learning Patterns and Learning Effects in the Non-face-to-face Learning Environment (비대면 강의환경에서의 온라인 학습패턴과 학습 효과의 상관관계 연구)

  • Lee, Youngseok
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.8
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    • pp.557-562
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    • 2020
  • In the non-face-to-face learning environment forced into effect by the COVID-19 pandemic, online learning is being adopted as a major educational technique. Given the lack of research on how online learning patterns affect academic performance, this study focuses on the number and duration of online video learning sessions as a major factor based on midterm and final exams, and with a formative assessment for each type of learning. The correlation of the learning effects was analyzed. The analysis focused on computer programming subjects, which are among the most difficult liberal arts subjects for arts and science students at the university level. The analysis of cases of actual students showed no correlation among weekly formative assessments, the number of learning sessions, and the learning duration. On the other hand, the number of learning sessions (r=.39 p<0.05) and learning duration (r=.42 p<0.05) were correlated with the midterm and final exams. Elements, such as SMS text, bulletin board, and e-mail, were excluded from the analysis because not all students have access to them. Therefore, the results can be improved if future analysis of the students' learning patterns in a non-face-to-face lecture environment is performed considering more factors/elements and the learners' needs.

Analysis of Urban Heat Island Effect Using Time Series of Landsat Images and Annual Temperature Cycle Model (시계열 Landsat TM 영상과 연간 지표온도순환 모델을 이용한 열섬효과 분석)

  • Hong, Seung Hwan;Cho, Han Jin;Kim, Mi Kyeong;Sohn, Hong Gyoo
    • Journal of Korean Society for Geospatial Information Science
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    • v.23 no.1
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    • pp.113-121
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    • 2015
  • Remote sensing technology using a multi-spectral satellite imagery can be utilized for the analysis of urban heat island effect in large area. However, weather condition of Korea mostly has a lot of clouds and it makes periodical observation using time-series of satellite images difficult. For this reason, we proposed the analysis of urban heat island effect using time-series of Landsat TM images and ATC model. To analyze vegetation condition and urbanization, NDVI and NDBI were calculated from Landsat images. In addition, land surface temperature was calculated from thermal infrared images to estimate the parameters of ATC model. Furthermore, the parameters of ATC model were compared based on the land cover map created by Korean Ministry of Environment to analyze urban heat island effect relating to the pattern of land use and land cover. As a result of a correlation analysis between calculated spectral indices and parameters of ATC model, MAST had high correlation with NDVI and NDBI (-0.76 and 0.69, respectively) and YAST also had correlation with NDVI and NDBI (-0.53 and 0.42, respectively). By comparing the parameters of ATC model based on land cover map, urban area had higher MAST and YAST than agricultural land and grassland. In particular, residential areas, industrial areas, commercial areas and transportation facilities showed higher MAST than cultural facilities and public facilities. Moreover, residential areas, industrial areas and commercial areas had higher YAST than the other urban areas.

The Relationship Between the Role Conflict and Self-reported Climacteric Symptoms of the Middle-aged Industrial Female Workers (일부 생산직 중년 여성근로자의 역할갈등과 갱년기증상과의 관계)

  • Choi, Ran;Park, Chai Soon
    • Korean Journal of Occupational Health Nursing
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    • v.6 no.2
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    • pp.136-143
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    • 1997
  • The purpose of this study was to analyze relationship between the role conflict and self-reported climacteric symptoms in the middle-aged industrial female workers. The data were collected by self-reported questionnaire from Nov. 1 to Nov. 30, 1996. The subjects were 201 women whose age, between 40 and 59 years. The analysis of data was t-test, ANOVA, $Scheff{\grave{e}}$ test, Pearson correlation coefficient analysis, Stepwise multiple regression analysis. The results were as follows : 1. 54.8% of the respondents had their climacteric symptom in middle life. 2. Age and religion affected significantly self-reported climacteric symptoms(F=4.2, P=.007 ; t=-2.1, P=0.42). 3. A comparison between two groups, with high and low rate of self-reported climacteric symptoms, indicated that for middle-aged industrial female workers when role conflict is high, climacteric symptoms is high(t=7.8, P=.000). 4. The relationship between self-reported climacteric symptoms and role conflict was positively significant(r=.5, P=.000). 5. The role conflict as a spouse affected significantly self-reported climacteric symptoms(F=52.6, P=.000). Role conflict the role as a spouse was explained 21% of self-reported climacteric symptoms. In conclusion, role conflict is the dominant factor in influencing self-reported climacteric symptoms.

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Reduction of Simulation Number for Ship Handling Safety Assessment (선박운항 시뮬레이터 실험조건 축소화 연구)

  • Kwon, S.H.;Oh, H.S.
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.35 no.1
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    • pp.101-106
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    • 2012
  • Ship handling simulator is a virtual ship navigating system with three dimensional screen system and simulation programs. FTS simulation can produce theoretically infinite experiment tests without time constraint, but which results in collecting determinstic observations. RTS simulation can collect statistical observations but has disadvantage of spending at least 30 minutes for a single experiment. The previous studies suggested that the number of experiment conditions to be tested could be reduced to obtain random data with RTS simulation by focusing on highly difficult experiment condition for ship handling. It has the limitation of not estimating the distribution of ship handling difficulty for the route. In this paper, similarity and clustering analysis are suggested for reduction methodology of experiment conditions. Similarity of experiment conditions are measured as follows: euclidean distance of ship handling difficulty index and correlation matrix of distance differences from the designed route. Clustering analysis and multi-dimensional scaling are applied to classify experiment conditions with measured similarity into reducing the number of RTS simulation conditions. An empirical result on Dangin harbor is shown and discussed.

A Study on the Effect of Perception and Practice of QC Personnel on Post-Management: Focusing on KS Certified Factory Evaluation Criteria (QC담당자의 인식 및 실행이 사후관리에 미치는 영향에 관한 연구: KS인증 공장심사 평가항목을 중심으로)

  • Taek-Yeon Yoo;Jung Eui Hong;Kwang-Soo Kim
    • Journal of the Korea Safety Management & Science
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    • v.26 no.2
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    • pp.107-115
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    • 2024
  • This study conducted frequency analysis, reliability analysis, descriptive statistics, and correlation analysis to determine the impact of quality control managers' perception and implementation of KS certification factory inspection evaluation items on follow-up management. Through a multiple linear regression model, the influence of KS certification officer's awareness and implementation of KS certification factory inspection on post management was found to have a positive (+) influence on post management, with implementation having a greater influence on post management than awareness. It was having an impact. The independent variable (perception) has a statistically significant impact on the mediating variable (execution), and in the stage of verifying the mediating effect, the influence of the independent variable (perception) on the dependent variable (follow-up management) has a statistically significant impact. , In the stage where the independent variable (perception) and the mediator (implementation) are input simultaneously, both the independent variable and the mediator have a statistically significant effect on the dependent variable, indicating that there is a mediation effect.