• Journal of Environmental Impact Assessment
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• v.14 no.4
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• pp.165-177
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• 2005

This study was carried out to offer the basic methodology of the system and model to objectively assess the natural ecosystem for environmentally friendly land conservation and present the alternative plan on establishing the environmental policy. The results of this study were as follows. We selected four assessment factors associated with biotic, abiotic, qualitative, and functional factors. Also, there were extracted fifty-six indicators including density, total nitrogen, hemeroby degree, and goods production. The assessment factor showed that biotic one was very important. The importance of indicators were analyzed that rare and endangered plant was important in biotic factor, in case of abiotic, qualitative, and functional factors, organic matter, landscape diversity, and conservation of ecosystem were greatly important. The results of factor analysis on the characteristics of indicators, classified biotic factor into six factors including a structural one, abiotic factor as a soil and physical one, qualitative factor as five ones including hierarchical one, and functional factor as public and conservational one. In the results of analysis on assessment model, R-square of biotic factor was 51.7%, those of abiotic, qualitative, and functional one were each 58.4%, 44.2%, and 39.3%, and statistical problem was no existence. In future, to develop the assessement model and methodology of sustainable natural ecosystem, we will have to achieve the integrated model and grouping by assessment factor.

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

• Journal of Agricultural Extension & Community Development
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• v.22 no.2
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• pp.101-116
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• 2015

This study aims to identify the decision-making factors of people who have returned to rural areas for farming and residence according to personal characteristics and regions. The survey was conducted on 420 return farmers of six cities and counties in Gyeongsangbuk-Do from September 1st to October 11th 2013. For data analysis, researchers used 280 answered sheets and utilized two-way ANOVA and multinomial logistic regression analysis. Research results indicate three factors of returning to farm which are pull to rural area, push from city, and policy factor. The highest scores of factor is pull to rural area (2.93), the second one is push from city (2.31), and the lowest score is politic factor (2.18). In addition, these three factors of returning to farm are elucidated by environmental variable, economic variable, and information and opportunity provided by government. In other words, the factor of pull to rural area is related environmental variable and the factor of push from city is affected by economic variable. Lastly, politic factor pertains to information and opportunity provided by government.

• Journal of the Korean Institute of Landscape Architecture
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• v.26 no.3
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• pp.249-257
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• 1998

This study was to evaluate residents' environmental cognition, satisfaction and needs of distinctive outdoor space in apartment housing estates. Distinctive outdoor space of 75 apartment estates throughout the country were investigated. And the residents of 16 apartment estates were asked how they cognize disticntive outdoor space qualities, and what activities they prefer in apartment's outdoor space. Thre important factors were extracted in residents' cognition of distinctive outdoor space qualities. First factor was naturalness of the greenery, second factor was outdoor activities especially related to fitness and exercise, and third factor was design of street furniture. Residents' satisfaction degree of distinctive outdoor space tended to increase as high as the occupied housing area. Places with water, tree shades, pedestrian way, greenery with flowers, playlots, fitness places and entrances of the estates were evaluated high in the order named. And places full with greenery, places related to fitness and exercisem, playlots were prefered by the residents.

• Journal of the Korean housing association
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• v.11 no.2
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• pp.107-116
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• 2000

The purpose of this study is to investigate the relation between the exterior environmental factors and sensibility responses in apartment housing estates. The finding of the study may be summerized as follow: 1) The method of analysis was that the adequacy of 214 sensibility vocabularies primarily drawn were analyzed by the evaluation group through questionnaire. As a result of factor analysis on them, 36 sensibility vocabularies were finally drawn and used as a tool for evaluation. 2) 22 elements were drawn as physical elements that shows sensibility responses according to residential complexes and classified roughly into five factors; the architectural factor, the rest space, the horizontal system, the design factor, and the annexed facilities. 3) The average score for sensibility items by complexes suggested that the sensibility contents would vary depending on the physical conditions of facilities by complexes. 4) It was shown that the percentages of sensibility responses by physical structural elements were 50.7% for the rest space, 24.1% for the design factor, 13.7% for the architectural factor, 8.1% for the annexed facilities, and 3.2% for the horizontal system. 5) The analysis of relation between the physical elements and the sensibility contents showed that the sensibility contents such as 'emotions', 'comfortable', 'luxury', 'symbolic', and 'intimate', had a positive relation with the physical elements such as the entrance of a complex, design element, artistic structures, and kindergarten facilities but a negative relation with the physical elements such as the shape of buildings, walkways, and separate garbage collection yards.

• Smart Structures and Systems
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• v.29 no.1
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• pp.41-51
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• 2022

Cables are critical components of cable-stayed bridges. A structural health monitoring system provides real-time cable tension recording for cable health monitoring. However, the measurement data involve multiple sources of variability, i.e., varying environmental and operational factors, which increase the complexity of cable condition monitoring. In this study, a one-class classification method is developed for cable condition assessment using Bayesian factor analysis (FA). The single-peaked vehicle-induced cable tension is assumed to be relevant to vehicle positions and weights. The Bayesian FA is adopted to establish the correlation model between cable tensions and vehicles. Vehicle weights are assumed to be latent variables and the influences of different transverse positions are quantified by coefficient parameters. The Bayesian theorem is employed to estimate the parameters and variables automatically, and the damage index is defined on the basis of the well-trained model. The proposed method is applied to one cable-stayed bridge for cable damage detection. Significant deviations of the damage indices of Cable SJS11 were observed, indicating a damaged condition in 2011. This study develops a novel method to evaluate the health condition of individual cable using the FA in the Bayesian framework. Only vehicle-induced cable tensions are used and there is no need to monitor the vehicles. The entire process, including the data pre-processing, model training and damage index calculation of one cable, takes only 35 s, which is highly efficient.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.11
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• pp.1179-1189
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• 2003

This study had a focus on service quality, customer satisfaction and relationship orientation. The subjects of this study were: 1) to examine the conceptual structure of service quality perceived by males consumers of character clothing brands, 2) to examine of the service quality on customer satisfaction, and 3)to examine relationship between customer satisfaction and relationship orientation. The questionnaire was collected between October, 28 and November, 8 in 2002. Samples of 271 respondents were obtained. The sample consisted of males in their twenties and thirties who had a experience on buying character clothing brands in Seoul. To analyze the data, reliability analysis, percentage, frequency analysis, factor analysis, correlation analysis, and regression analysis were applied. The results were as followings: 1) As a result of factor analysis, the service quality were identified by four dimensions: environmental service, personal service, products service, and promotion service. 2) As a result of correlation analysis and regression analysis, the service quality had a positive influence on customer satisfaction. Especially products service was the most important factor for customer satisfaction, followed by environmental service. 3) As a result of correlation analysis, customer satisfaction had a positive influence on relationship orientation.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2007.11a
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• pp.1187-1190
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• 2007

This study aims to induce acoustic environmental characteristics which could be used for soundscape design by carrying out factor analysis on sound source image and cognition analysis on subjects' responses on selective questions due to class differences. The results of this study are as follows ; Satisfaction rate differences on exterior acoustic environment due to sensitivity and residence year were revealed. After factor analysis of living sound sources' image, it is known that natural sound, traditional sound, socials traffic sound, rural sound, religious sound and the others are main factors. Social traffic sound is the most one that should be eliminated and traditional sound is selected as a most Korean-like sound. Natural sound is evaluated as the most one that should be preserved and the most retrospectively one.

• Proceedings of the Korean Society of Soil and Groundwater Environment Conference
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• 2002.04a
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• pp.110-113
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• 2002

Statistical- based, principal component analysis (PCA) was applied to chemical data from two underground storage systems containing LPG to assess the usefulness of such technique at the initial stage (Pyeongtaek) or middle stage (Ulsan) of hydrochemical studies. For the first case, both natural and anthropogenic contamination characterize regional groundwater. Saline water buffered by Namyang lake affects as a natural factor, whereas cement grouting influence as an artificial factor. For the second study area, contaminations due to operation of LPG caverns, such as disinfection activity and cement grouting effect, deteriorate groundwater quality. This study indicates that principal component analysis would be particularly useful for summarizing large data set for the purpose of subsurface characterization, assessing their vulnerability to contamination and protecting recharge zones.

• Journal of Korean Society on Water Environment
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• v.31 no.6
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• pp.700-714
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• 2015

The characteristic of the water quality and pollutant discharge was analyzed at the units watershed of the total amount management in Han-river basin, and after classified in a similar area by multivariate statistical analysis, the main trend such as the water quality trend and pollutant discharge characteristic were analyzed. As a result of this study, the density of the pollutant at the unit watershed is not necessarily identified as discharge density, and the primary management watershed and targeted substances were analyzed depending on the operating status of the environmental infrastructure in watershed and the main pollution factor and discharge path per pollutants. As a result of cluster analysis, watersheds were classified into four groups according to discharge characteristics. It will be used when selecting target area of primary management that is appropriate to the characteristics of each river and establishing efficient water quality improvement plans.