• 한국기후변화학회지
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• 제7권4호
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• pp.443-450
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• 2016

The major greenhouse gases (GHGs) in agricultural sector are methane ($CH_4$), nitrous oxide ($N_2O$), carbon dioxide ($CO_2$). GHGs emissions are estimated by pertinent source category in a guideline book from Intergovernmental Panel on Climate Change (IPCC) such as methane from rice paddy, nitrous oxide from agricultural soil and crop residue burning. The methods for estimation GHGs emissions in agricultural sector are based on 1996 and 2006 IPCC guideline, 2000 and 2003 Good Practice Guidance. In general, GHG emissions were calculated by multiplying the activity data by emission factor. The total GHGs emission is $10,863Gg\;CO_2-eq$. from crop cultivation in agricultural sector in 2013. The emission is divided by the ratio of greenhouse gases that methane and nitrous oxide are 64% and 34%, respectively. Each gas emission according to the source categories is $7,000Gg\;CO_2-eq$. from rice paddy field, $3,897Gg\;CO_2-eq$. from agricultural soil, and $21Gg\;CO_2-eq$. from field burning, respectively. The GHGs emission in agricultural sector had been gradually decreased from 1990 to 2013 because of the reduction of cultivation. In order to compare with indirect emissions from agricultural soil, each emission was calculated using IPCC default factors (D) and country specific emission factors (CS). Nitrous oxide emission by CS applied in indirect emission, as nitrogen leaching and run off, was lower about 50% than that by D.

• 산업기술연구
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• 제18권
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• pp.17-25
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• 1998

Recently, there are a lot of studies to use a satellite image data in order to investigate a simultaneous change of a wide range area as a lake. However, many cases of a water quality research occur as problem when we try to extract the water quality factors from the satellite image data, because of the atmosphere scattering exert as bad influence on a result of analysis. In this study, and attempt was made to select the relative atmospheric correction method for the water quality factors extraction from the satellite image data. And also, the time-series analysis of the water quality factors extraction from the satellite image data. And also, the time-series analysis of the water quality factors was performed by using the multi-temporal image data.

• Environmental Engineering Research
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• 제22권1호
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• pp.87-94
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• 2017

This study was conducted to determine the effect of the climate change to the level of groundwater recharging. This research was conducted on the watershed of Bangga by using the Soil Water Balance of MockWyn-UB model. Input data compose of evapotranspiration, monthly rainfall, watershed area, canopy interception, heavy rain factor and the influence of climate change factors (rainfall and temperature). The conclusion of this study indicates that there is a decreasing trend in annual groundwater recharge observed from 1995 to 2011. The amount of groundwater recharge varied linearly with monthly rainfall and between 3% to 25% of the rainfall. This result implies that rain contributed more than groundwater recharge to runoff and evaporation and the groundwater recharge and Bangga River discharge depends largely on the rainfall. In order to increase the groundwater recharge in the study area, reforestation programmes should be intensified.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.397-402
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• 2013

In super-tall building construction projects, schedule risk factors which vertically change and are not found in the low and middle-rise building construction influence duration of a project by vertical attribute; and it makes hard to estimate activity or overall duration of a construction project. However, the existing duration estimating methods, that are based on quantity and productivity assuming activities of the same work item have the same risk and duration regardless of operation space, are not able to consider the schedule risk factors which change by the altitude of operation space. Therefore, in order to advance accuracy of duration estimation of super-tall building projects, the degree of changes of these risk factors according to altitude should be analyzed and incorporated into a duration estimating method. This research proposes a simulation model using Monte Carlo method for estimating activity duration incorporating schedule risk factors by weather conditions in a super-tall building. The research process is as follows. Firstly, the schedule risk factors in super-tall building are identified through literature and expert reviews, and occurrence of non-working days at high altitude by weather condition is identified as one of the critical schedule risk factors. Secondly, a calculating method of the vertical distributions of the weather factors such as temperature and wind speed is analyzed through literature reviews. Then, a probability distribution of the weather factors is developed using the weather database of the past decade. Thirdly, a simulation model and algorithms for estimating non-working days and duration of each activity is developed using Monte-Carlo method. Finally, sensitivity analysis and a case study are carried out for the validation of the proposed model.

• 한국기후변화학회지
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• 제6권2호
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• pp.121-131
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• 2015

As the temperature has changed by climate change, changes in its own characteristic values of the chemical substance or the movement and distribution of chemicals take place in accordance with the changes of hydrological and meteorological phenomena. Depending on the impact of climate change on the chemical behavior, it is necessary to understand and predict quantitative changes in the dynamics of the environment of pollutants due to climate change in order to predict in advance the occurrence of environmental disasters, and minimize the impact on the life and the environment after the incident. In this study, we have analysed and compared chemical fate models validated by previous studies in terms of model configuration, application size and input/output factors. The potential models applicable to municipal and industrial areas were selected on the basis of characteristic of each model, availability of input parameters and consideration for climate change, identified the problems, and then presented an approach to improve applicability.

• 한국정보시스템학회지:정보시스템연구
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• 제26권4호
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• pp.189-202
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• 2017

Purpose The purpose of this study is to find the factors for explaining the relationship between the satisfaction of IT consulting and entrepreneurship based on the corporate performance, financial and economic performance. Design/methodology/approach This study made a design of the research model by integrating the factors of entrepreneurship and satisfaction of IT consulting on the basis of ecosystem. In addition, this study, did empirical analysis of the structural equation model by PLS(Partial Least Squares) in order to find out the moderating effect of satisfaction of IT consulting on entrepreneurship. Findings According to the empirical analysis result, this study confirmed that the moderating effect of satisfaction of IT consulting on entrepreneurship, which increase the influence the effect of entrepreneurship on the corporate performance. However, the second order factor of enterprise ecosystem has no effect on the corporate performance. In addition, this study find out that the important role of IT consulting according to the change of business environment.

• Human Ecology Research
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• 제55권5호
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• pp.465-480
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• 2017

This study examined the relationship between family meal time and emotional well-being for 5,186 fathers who were employed and had at least one child aged under 18 for the years 2009 and 2014 by analyzing their time diaries. In doing so, changes in time spent by fathers on family meals between 2009 and 2014 were also examined along with the factors associated with the amount of meal time for each year in order to understand ways to increase paternal participation in family meals. Analytic results showed that a father's family meal time had a positive association with his time use and life satisfaction; however, fathers who spent more than 40 minutes a day having meals with the family reported the highest score in time use and life satisfaction. The amount of time fathers spent on family meals increased from 38 minutes in 2009 to 43 minutes in 2014, whose change turned out to be mainly attributable to something more than the compositional change in the population between the two years, such as growing public awareness or cultural acceptance of the value of family meal. Fathers in dual-earner households tend to have longer family meal times; however, different factors were associated with their family meal times in 2009 and 2014. Policy implications are discussed in light of the government-initiated dining table education campaign to increase family meal time for the sake of children's character education at home.

• 한국산학기술학회논문지
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• 제4권2호
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• pp.57-62
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• 2003

미국에서 시행중인 SGR을 도입하기 위해서는 우선 건강보험진료비의 증가요인에 대한 분석이 선행되어야 한다. 진료비의 증가요인을 찾고 각 요인에 대한 기여율이 주어진 경우 이 요소들을 보다 쉽게 나타내 줄 수 있는 GDP나 MEI를 이용하여 수가조정률을 구할 수 있다 그러나 문제는 과연 GDP나 MET의 변화에 따라 수가조정률이 어느 정도 이루어지는지에 대한 연구가 부족하다. 본 연구에서는 건강보험진료비 증가요인에 대한 개념적인 식을 구성한 뒤 GDP나 MEI가 증가요인들에 대한 대리변수가 될 수 있다는 점을 알 수 있었고 이 요소들의 변화가 수가변화에 어느 정도 영향을 미치는지를 살펴보았다. 그 결과 우리나라에서는 GDP변화율이 심해 미국에 비해 환산지수 변화가 클 수 있다는 점을 발견할 수 있었다.

• Safety and Health at Work
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• 제12권4호
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• pp.505-510
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• 2021

Background: Factors related to root causes can cause commonly occurring accidents such as falls, slips, and jammed injuries. An important means of reducing the frequency of occupational accidents in small- to medium-sized enterprises (SMSEs) of South Korea is to perform intensity analysis of the root cause factors for accident prevention in the cause and effect model like decision models, epidemiological models, system models, human factors models, LCU (life change unit) models, and the domino theory. Especially intensity analysis in a robot system and smart technology as Industry 4.0 is very important in order to minimize the occupational accidents and fatal accident because of the complexity of accident factors. Methods: We have developed the modern cause and effect model that includes factors of root cause through statistical testing to minimize commonly occurring accidents and fatal accidents in SMSEs of South Korea and systematically proposed educational policies for accident prevention. Results: As a result, the consciousness factors among factors of root cause such as unconsciousness, disregard, ignorance, recklessness, and misjudgment had strong relationships with occupational accidents in South Korean SMSEs. Conclusion: We conclude that the educational policies necessary for minimizing these consciousness factors include continuous training procedures followed by periodic hands-on experience, along with perceptual and cognitive education related to occupational health and safety.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1996년도 하계학술대회 논문집 B
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• pp.1034-1036
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• 1996

In this paper, an adaptive fuzzy logic controller is presented for auto-tunning of the scaling factors by using learning capability of neural networks. The proposed scheme consists of the FLC which includes the PI-type FLC and PD-type FLC in parallel form and the neural network which learns scale factors of FLC. Computer simulations were performed to illustrate the effectiveness of a proposed scheme. A proposed FLC controller was applied to the second order system and velocity control of the brushless DC motors. For the design of the FLC, tracking error, change of error, and acceleration error are selected as input variables of the FLC and three seal e factors were used in the parallel-type FLC. This scheme can be used to reduce the difficulty in the selection of the scale factors.