• Journal of the Korea Safety Management & Science
• /
• v.25 no.4
• /
• pp.1-13
• /
• 2023

This study aims to investigate the correlation between the causes of natural disasters and feng shui factors targeting disaster management experts, feng shui experts, and the general public who are interested in feng shui. To this end, it is intended to reveal that the factors of the disaster at Mt. The purpose of this study is to analyze the impact of three factors on disasters: feng shui factors, natural factors, and social factors. To this end, a survey was conducted targeting feng shui experts, disaster management experts, master's and doctoral students in feng shui geography, residents of the Umyeonsan disaster area, and people interested in feng shui geography. 260 copies of the questionnaire were prepared and 248 copies were used for the final analysis. First, in order to analyze the impact of feng shui factors on awareness of disaster occurrence, after controlling for demographic variables, hierarchical multiple regression analysis was conducted to analyze the impact of feng shui factors on awareness of disaster occurrence. Second, as a result of analyzing the effect of natural factors on awareness of disaster occurrence, looking at each independent variable in the second-stage regression analysis. Third, as a result of analyzing the effect of social factors on awareness of disaster occurrence, looking at each independent variable in the second-stage regression analysis. Finally, as a result of the T-test and Anova analysis conducted for discriminant analysis, if the p-value was less than .005, the F value for each group was obtained as a result of the ANOVA analysis on the feng-shui factors

• Journal of Korean Society of Water and Wastewater
• /
• v.16 no.6
• /
• pp.686-699
• /
• 2002

The purpose of this study is to estimate deterioration factors and weighting factors in pipe network which each local self-governments takes rehabilitation and replacement work present time. Deterioration factors in pipe network are able to effected of specific province or location related with water supply. Most of water supply pipes are laid under the ground, it is hard to quantify deterioration degree of water system. Moreover, the timing and economic limitation and insufficient information on the spot survey gives a difficulty to look over how old water supply system is. Accordingly, this study collects and analyses five data as the laying environment, visual analysis, analysis of soil contents, analysis of pipe material, and questionary survey data in water pipe of A city. The deterioration factor estimates 14 factors with excavation and experimental analysis and 9 factors without excavation and experimental analysis. Also, the weighting factors are estimated by using the multiple linear regressions and the linear programming. The estimated deterioration factor and weighting results are compared the analysis result of visual, pipe material, and soil contents with the Probabilistic Neural Network Model. Consequently, the model results of estimated 9 factors in this study and 14 factors show the 1-2% difference. The result show that the proposed model could be used to decide the deterioration condition of pipe line with real excavation and experimental analysis.

• Journal of the Korean Society of Safety
• /
• v.16 no.3
• /
• pp.117-124
• /
• 2001

This paper introduces m analysis framework and procedure for the support of the cognitive error analysis of emergency tasks in nuclear poler plants. The framework provides a new perspective in the utilization of influencing factors into error prediction. The framework can be characterized by two features. First, influencing factors that affect the occurrence of human error me classified into three groups, i.e., task characteristic factors(TCF), situation factors(SF), and performance assisting factors(PAF). This classification aims to support error prediction from the viewpoint of assessing the adequacy of PAF under given TCF and SF. Second, the assessment of influencing factors is made by each cognitive function. Through this, influencing factors assessment and error prediction can be made in an integrative way according to each cognitive function. In addition, it helps analysts identify vulnerable cognitive functions and error factors, and obtain specific nor reduction strategies. The proposed framework was applied to the error analysis of the bleed and feed operation of nuclear emergency tasks.

• Journal of Korean Society for Quality Management
• /
• v.25 no.2
• /
• pp.140-153
• /
• 1997

As product quality is maily determined in the product design and process design step, systematic design should be performed through parameter design and tolerance design. Therefore, we introduced analysis of variance and regression analysis as a statistical method which determine optimal levels of affective design factors to product characteristics, then we compared that process and result. In analysis of variance, variation of quality characteristics arises from noise factors, so the optimal levels of design factors are selected to minimize the effect of noise factors. In regression analysis, variation of quality characteristics aries from variation of each own design factors. As a method to reduce variation of these quality characteristics, sensitivity analysis was performed about each design factors. Through this sensitivity analysis, we represented process to calculate the interaction term of the factors.

• Journal of the Korea Safety Management & Science
• /
• v.23 no.1
• /
• pp.49-56
• /
• 2021

The purpose of this study is to investigate the current status of firefighting seatbelt use and factors affecting the wearing seatbelt of firefighters. The seatbelt use of citizens was also studied for comparative study. Two T-tests were conducted to confirm the characteristics of firefighters' safety belts wearing firefighters. As a result, there was a statistically significant difference, on seatbelt use in general vehicles, between firefighters and citizens. And a significant difference between fire vehicles and general vehicles, on firefighters' seatbelt use, and the average was lower in fire vehicles. Factor analysis, reliability analysis, correlation analysis and multiple regression analysis were conducted to 10 influential factors affecting seatbelt use of firefighters'. And factor analysis and reliability analysis revealed two major factors (Physical factors, Learning factors). In multiple regression analysis, it was confirmed the two independent factors had a positive effect on the dependent variable, the rate of seatbelt use of firefighters'.

• Journal of the Ergonomics Society of Korea
• /
• v.26 no.2
• /
• pp.123-129
• /
• 2007

In 2003 the Korean Government introduced 'the risk factors analysis system' in order to prevent the work-related musculoskeletal disorders. In addition, the proclamation by the Ministry of Labor delineated eleven spheres of work associated with musculoskeletal disorders. According to Occupational Safety and Health Regulations, business proprietors who have workers engaged in tasks associated with musculoskeletal disorders are required to carry out a survey on risk factors every three years. Effective risk factors analysis principles and practices will succeed by refining the workplaces continuously. However, numerous difficulties arise during the application of risk factors analysis to the various industries. We discuss a number of issues related to risk factors analysis system, and suggest a number of directions for future work in this area.

• The Journal of Fisheries Business Administration
• /
• v.40 no.3
• /
• pp.127-146
• /
• 2009

This study is to estimate the factor weights of the reasons for decreases in marine fishery resources using the Analytical Hierarchy Process. Furthermore, it classifies 20 fishes under a fishery resource recovery plan into various groups of fishes according to these factor weights using the non-hierarchial cluster analysis. The factors of decreases in marine fishery resources are identified as bio-ecological, technology-system, economic-business, and fishing village-society factors. Two of the most important factors of decreases in resource are turned out to be the economic-business and bio-ecological factors, estimated as 31% and 30% respectively. The technology-system and fishing village-society factors are estimated as 21% and 18% respectively. The study utilizes non-hierarchical cluster analysis in order to classify 20 fishes into 2, 3, and 4 groups. K-means cluster analysis is applied for grouping in conjunction with ANOVA to identify statistical differences in factors. Once again, the economic-business and bio-economic factors play main role in grouping 2-groups of fishes case. The third group of fishes in addition to the previous 2 groups of fishes appears as those 4 factors of decrease evenly play about the same role at a 3-groups of fishes case. Finally, the economic-business and bio-economic factors are turned out to be evenly important in the 4th group once there are 4-groups of fishes.

• Journal of the Korean Home Economics Association
• /
• v.40 no.8
• /
• pp.123-135
• /
• 2002

The purpose of this study is to examine the relationship between shopping orientation and purchasing satisfaction of apparels. To achieve the purpose, this study was carried out by means of questionnaires with female consumers aged from 20s to 50s in Daegu. The data were analysed by the frequency analysis, percentage, reliability test, factor analysis, Pearson's correlation analysis, cluster analysis, one-way ANOVA and Duncan's multiple range analysis. The statistical package for social science 9.0 for Window was used for the statistical processing of the data. The result of this study is summarized as follows. 1. To examine factors which construct female consumers' shopping orientation for apparels, a factor analysis was done, therefore, which obtained 6 factors. Also A factor analysis was done to examine the motivative factors of satisfaction with purchased apparels, 6 factors were obtained. 2. Based on the average score of shopping-orientation factors for apparels, a cluster analysis was done and it was classified into 3 clusters. There were differences in purchasing satisfaction of purchased apparels between the 3 clusters. 3. The differences in variety, shopping convenience, dignity, brand & preference, and convenient selection between the clusters were entirely p<0.001 which were very significant. There were no differences in the quality and service factors between the brand-/practicality-oriented cluster and entertainment-oriented cluster. With other factors, entertainment-oriented cluster was most satisfied than brand-/ practicality oriented cluster. But, self-reliance-oriented cluster was lowest purchasing satisfaction of apparels.

• Korean Journal of Organic Agriculture
• /
• v.21 no.4
• /
• pp.501-522
• /
• 2013

This study has performed comparative analysis on benefit indicators in agricultural irrigation and drainage project cases between Korea and Japan. The irrigation and drainage project with publicity should do economic analysis of direct benefit factors as well as indirect benefit factors. However, traditional economic evaluations are used that benefit factors are lack of consistency and focused on direct benefits. Therefore, the purpose of this study was to develop indicators for the economic evaluation of irrigation and drainage projects. We conducted a case study between Korea and Japan. The resulting benefit factors was divided into direct factors and indirect factors. The direct benefit factors were increase in income, cost savings. The indirect benefit factors were protection of property due to flooding, agricultural promotion, aesthetic improvement. The implications of this study are that the indicators of economic analysis can be evaluated and easily applied. Moreover, these indicators could promote the feasibility of economic analysis.

• Korean Management Science Review
• /
• v.31 no.2
• /
• pp.15-32
• /
• 2014

This research empirically investigated the influence factors on the adoption of environmental management systems (EMS) in Korean manufacturing firms. In this study, the external factors (cause factors), the internal factors (facilitating factors) and the firm specific characteristics were integrally considered. In the factor analysis, the third item (regional society) of the external factors and the first item (environmental law) of government regulation were confounded with the items of the other factors. Thus, the confounded items were removed. In the second factor analysis, no items were replicated. The results of a multiple regression analysis showed that the influence factors such as government regulation, normative pressure, top management support, environmental strategy and employees' recognition, and ratio of large shareholders have a significant impact on the construction of EMS. However, the effects of the other firm specific characteristics were not statistically significant. We also examined whether both the number of environmental personnel and the allocation of environmental resources, which are directly related with the adoption of EMS, have a moderating impact on the relationships between other internal factors and the construction of EMS. With a subgroup analysis, the moderating roles of the number of environmental personnel were empirically confirmed. Through a multiple regression analysis, the direct effects of the external factors on the adoption or construction of the internal factors were demonstrated. The effects of government regulation, normative pressure and imitative pressure on the internal factors were significant and positive. Finally, in this study, the fact that the adoption of EMS can improve the environmental performance of a firm was also empirically found.