• Korean Journal of Environment and Ecology
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• v.26 no.2
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• pp.283-291
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• 2012

The aim of this study is to explore the structural relationship between recognition to environmental factor and place attachment of the users of temple forest trail in Gyeongju National Park, and to suggest political implications on conservation management of National Park from the viewpoint of landscape attachment. Survey with a structured questionnaire was implemented to visitors to the Bulkuksa, a representative temple in Geyongju National Park. Structural equation model was developed from the analysis of collected data. Results showed that place dependence positively affected place attachment in significance, whereas place identity did not significantly affect place attachment. Place attachment was affected rather by place dependence(path coefficient=0.55). Place attachment positively affected the recognition of environmental factors in significance. Landscape use factors compared to facility use factors were affected rather by place attachment(path coefficient=1.01). This result verified the importance of landscape factors of National Park, and suggested a management plan focused on the landscape conservation of forest trail of traditional temple.

• Journal of the Korean Geotechnical Society
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• v.30 no.8
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• pp.25-37
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• 2014

In load and resistance factor design (LRFD) method, resistance factors are typically calibrated using resistance bias factors obtained from either only the data within ${\pm}2{\sigma}$ or the data except the tail values of an assumed probability distribution to increase the reliability of the database. However, the data selection approach has a shortcoming that any low-quality data inadvertently included in the database may not be removed. In this study, a data quality evaluation method, developed based on the quality of static load test results, the engineering characteristics of in-situ soil, and the dimension of aggregate piers, is proposed for use in constructing database. For the evaluation of the method, a total 65 static load test results collected from various literatures, including static load test reports, were analyzed. Depending on the quality of the database, the comparison between bias factors, coefficients of variation, and resistance factors showed that uncertainty in estimating bias factors can be reduced by using the proposed data quality evaluation method when constructing database.

• Environmental and Resource Economics Review
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• v.25 no.1
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• pp.89-112
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• 2016

In this paper, as a determining factor of the Environment Kuznets Curve hypothesis, we analyzed the impact of technological innovation. In this paper, in order to empirically validate the role of technological innovation to an inverted U-shaped Environments Kuznets Curve hypothesis, we utilize the 2SLS considering relationship between R&D and the GDP per capita. Also, using the Panel VAR (Panel Vector Auto Regression) model to analyze with what time lag R&D per capita has impact on the emissions of greenhouse gases per capita. Empirical results show that R&D per capita(proxy of innovation) is a important factor to explain Environmental Kuznets Curve hypothesis, and that the external shock such as R&D per capita reduces greenhouse gas emissions per capita with about 3 time lag.

• Journal of the Korea Organic Resources Recycling Association
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• v.17 no.1
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• pp.103-109
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• 2009

Analysis of collection factor was studied to compare various parameters such as collection time, transport time, amount of collection and number of man power by on-the-spot survey at one municipal area and one rural area in Jeju-do. Results showed that the amount of man and time to collect 1 ton of waste of rural area($5.853man{\cdot}hour\;per\;time$) was four times as much as that of municipal area($1.527man{\cdot}hour\;per\;time$). In case of a transport time, rural area(11.08 per km/hr) has similar value to municipal area(11.07 per km/hr) and has half or one third value to the restaurant(36.7km/hr), an apartment area(33.0km/hr) and a detached area(22.4km/hr).

• Journal of Korean Tunnelling and Underground Space Association
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• v.16 no.2
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• pp.125-133
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• 2014

In this study, TBM selection methods to meet soil and site conditions were presented. Factors and excavation equipment affecting TBM selection by soil and environmental condition were selected and classified. Weights between equipment and influencing factors selected were calculated by applying the AHP (Analytic Hierarchy Process) method. The results of the analysis influence factors, Ground condition was a major factor in objective factors and strength was a major factor in the hard condition of criteria factors and water pressure was a major factor in the soft ground condition of criteria factors. In Environment condition, existence of adjacent structures was evaluated more important than existence of feasible site. Lastly, Adequacy was verified through the deduction of results that coincide with input equipment by applying derived weights to actual site conditions.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.235-236
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• 2008

Recently, the power load is growing larger and because of the environmental limitation of generation, the expansion of generation facilities are becoming more difficult. For that reason the importance of the demand-side resources come to be higher. One method of the demand-side resource, the DLC Program, has executed, and moreover, the loads which are available to be controlled are increasing. It should be considered of some kinds of power system components such as DLCs, because the fact that using the demand resources will be an important part of the power system. This paper considers the power factor of the load-bus which is shedded in the direct load control program. and then analyze the power system using flow sensitivity and voltage sensitivity. In this paper, we assumed two scenarios through the rank of the load power factor at each bus and to compare and evaluate each case, we used Power World for the simulation.

• Bulletin of the Korean Chemical Society
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• v.34 no.11
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• pp.3405-3409
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• 2013

The activation of heat shock factor 1 (HSF1) can be induced by the changes in environmental pH, but the mechanism of HSF1 activation by acidification is not completely understood. This paper reports that a low pH (pH~6.0) can trigger human HSF1 activation. Considering the involvement of the imidazole group of histidine residues under acid pH stress, an in vitro EMSA experiment, Trp-fluorescence spectroscopy, and protein structural analysis showed that the residue, His83, is the essential for pH-dependent human HSF1-activation. To determine the roles of His83 in the HSF1-mediated stress response affecting the cellular acid resistance, mouse embryo fibroblasts with normal wild-type or mutant mouse HSF1 expression were preconditioned by heating or pH stress. The results suggest that His83 is essential for HSF1 activation or the HSF1-mediated transcription of heat shock proteins, in protecting cells from acid pH stress.

• Journal of the Korean Society of Safety
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• v.22 no.1 s.79
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• pp.61-66
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• 2007

Car crashes are the leading cause of death for persons of every age. Specially, human-related factor has been known to be the primary causal factor of such crashes than vehicle-and environmental-related factors. There are various studies to analyze driver's behavior and characteristics in driving for reducing the car crashes in many areas of car engineering, psychology, human factor, etc. However, there are almost no studies which analyze mainly the human errors in driving and estimate their probabilities in terms of human reliability analysis. This study estimates the probability of human error in driving, i.e. driver error probability. First, fifty driver errors are investigated through DBQ (Driver Behavior Questionnaire) revision and the error likelihoods in driving are collected which are judged by skillful drivers using revised DBQ. Next, these likelihoods are converted into driver error probabilities using the results that verbal probabilistic expressions are changed into quantitative probabilities. Using these probabilities we can improve the warning effects on drivers by indicating their driving error likelihoods quantitatively. We can also expect the reduction effects of car accident through controlling especially dangerous error groups which have higher probabilities. Like these, the results of this study can be used as the primary materials of safety education on drivers.

• Journal of Forest and Environmental Science
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• v.29 no.1
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• pp.99-108
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• 2013

This study was conducted to evaluate the non-timber forest functions of the Research Forest area of Kangwon National University. In this study, forest recreation function was investigated through survey method answered by forest management experts. The evaluation factors for forest recreation function were separated into external and internal factors. Each factor was classified into intermediate element and detailed element. Therefore in this study, the evaluation factors of forest recreation function were divided into two groups which are the potential of external factors and the suitability of internal factors. Potential of the external factors were divided into accessibility, location, landscape and induction factors while the suitability of internal factor was divided into stand structure, forest structure and human impact. The priority of the potential of external factors was in order that location, accessibility, induction factors and landscape. The most important factors for the location, accessibility, induction and landscape factors are based on regional characteristics.

• Journal of muscle and joint health
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• v.25 no.1
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• pp.39-49
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• 2018

Purpose: The purpose of this study was to investigate the effect of technostress on intent-to-persist focusing on the stress coping in nursing college students. Methods: A cross-sectional descriptive design was conducted with a survey of 153 nursing college students attending a university. Data were collected using self-administered questionnaires. For data analysis, descriptive statistics, t-test, one-way ANOVA, Pearson's correlation coefficients, and multiple regression, hierarchical analysis, and sobel test were performed using SPSS/WIN 23.0 for Windows. Results: The factor mediating technostress and intent-to-persist in nursing college student was emotion-focused coping behavior. Moreover, this mediating factor had a complete mediating effect between technostress and intent-to-persist in nursing college students. Conclusion: Based on this result, it will be necessary to develop educational strategies about smart device use and environmental supports that help them communicate about problems.