• Journal of Information Technology Applications and Management
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• 제15권3호
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• pp.195-208
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• 2008

In an emergency management case, evaluating the economic value of information technology investments is a challenging problem due to the effects of decision making, uncertainty of disasters, and difficulty of measurements. Risk assessment and recovery process, one of the major functions in emergency management, consists of (1) measurement of damages or losses, (2) recovery planning, (3) reporting and approving budgets, (4) auctioning off recovery projects to constructors, and (5) construction for the recovery. Specifically and of our interest, measurement of damages or losses is often a costly and time-consuming process because the wide range of field surveys should be performed by a limited pool of trained agents. Managers, therefore, have to balance accuracy of the field survey against the total time to complete the survey. Using information technologies to support field survey and reporting has great potential to reduce errors and lowers the cost of the process. However, existing cost benefit analysis framework may be problematic to evaluate and justify the IT investment because the cost benefit analysis often include the long-run benefit of IT that is difficult to quantify and overlook the impact of managerial control upon the investment outcomes. Therefore, we present an alternative cost-centric control model that conservatively quantifies all cost savings to replace benefits in cost benefit analysis and incorporate the managerial control. The model provides a framework to examine how managerial decision making and uncertainty of disaster affect the economic value of IT investments. The current project in Emergency Agency in South Korea is introduced as a case to apply the cost-centric control model. Our work helps managers to better evaluate and justify IT-related investment alternatives in emergency management.

• 한국식품영양학회지
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• 제27권6호
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• pp.1182-1192
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• 2014

The object of this study was to employ effective marketing methods using SNS by determining how food-related SNS usage characteristics have influence on dine-out motivation and restaurant satisfaction and how this affects people's quality of lie. Survey respondents were men and women who have had used some kinds of food-related SNS. The survey included general characteristics of respondents, food-related SNS usage characteristics, dine-out motivation, restaurant satisfaction, and food-related quality of life. Food-related SNS usage characteristics were divided into convenience, effective time-spending, and informative; Dine-out motivation was sorted into entertainment motivation and social motivation by factor analysis. Analysis of the connections between the variables by AMOS showed that among food-related SNS usage characteristics, convenience did not have a significant influence on either entertainment or social motivation. Informative had a positive effect on entertainment motivation (p<0.05), but not on social motivation. On the other hand, effective time-spending through food-related SNS had an impact on both entertainment (p<0.001) and social (p<0.05) motivation. Moreover, the effect of dine-out motivation on restaurant satisfaction showed that entertainment motivation (p<0.05) and social motivation (p<0.01) both have significant influences on restaurant satisfaction. Also, restaurant satisfaction turned out to affect quality of life (p<0.05). As a result of this study, the usage of food-related SNS did not directly influence customers' restaurant satisfaction and quality of life; (p<0.05). As a result of this study, the usage of food-related SNS did not directly influence customers' restaurant satisfaction and quality of life; however, it had an impact on dine-out motivation and gain pleasure of dining out and help improve the quality of life in the long run; thus, it is believed that marketing strategies thorough SNS by restaurant industry are required.

• 한국물환경학회지
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• 제23권4호
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• pp.474-481
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• 2007

With population growth, industrialization, and urbanization within the watershed, the hydrologic response changed dramatically, resulting in increases in peak flow with lesser time to peak and total runoff with shortened time of concentration. Infiltration is directly affected by initial soil moisture condition, which is a key element to determine runoff. Influence of the initial soil moisture condition on hydrograph analysis should be evaluated to assess land use change impacts on runoff and non-point source pollution characteristics. The Long-Term Hydrologic Impact Assessment (L-THIA) model has been widely used for the estimation of the direct runoff worldwide. The L-THIA model was applied to the Little Eagle Creek (LEC) watershed and Its estimated direct runoff values were compared with the BFLOW filtered direct runoff values by other researchers. The $R^2$ value Was 0.68 and the Nash-Sutcliffe coefficient value was 0.64. Also, the L-THIA estimates were compared with those separated using optimized $BFI_{max}$ value for the Eckhardt filter. The $R^2$ value and the Nash-Sutcliffe coefficient value were 0.66 and 0.63, respectively. Although these higher statistics could indicate that the L-THIA model is good in estimating the direct runoff reasonably well, the Antecedent Moisture Condition (AMC) was not adjusted in that study, which might be responsible for mismatches in peak flow between the L-THIA estimated and the measured peak values. In this study, the L-THIA model was run with AMC adjustment for direct runoff estimation. The $R^2$ value was 0.80 and the Nash-Sutcliffe coefficient value was 0.78 for the comparison of L-THIA simulated direct runoff with the filtered direct runoff. However there was 42.44% differences in the L-THIA estimated direct runoff and filtered direct runoff. This can be explained in that about 80% of the simulation period is classified as 'AMC I' condition, which caused lower CN values and lower direct runoff estimation. Thus, the coefficients of the equation to adjust CN II to CN I and CN III depending on AMC condition were modified to minimize adjustments impacts on runoff estimation. The $R^2$ and the Nash-Sutcliffe coefficient values increase, 0.80 and 0.80 respectively. The difference in the estimated and filtered direct runoff decreased from 42.44% to 7.99%. The results obtained in this study indicate the AMC needs to be considered for accurate direct runoff estimation using the L-THIA model. Also, more researches are needed for realistic adjustment of the AMC in the L-THIA model.

• 한국수학교육학회지시리즈A:수학교육
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• 제56권2호
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• pp.161-175
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• 2017

The purpose of this study is to compare and analyze the impact on low-achievers in mathematics who studied mathematics using Blended e-learning and Personalized system of instruction after school. Blended e-learning is defined as the management of e-learning using the e-study run by the education office in local. Personalized system of instruction was proceeded as follows; (1) all students are given a syllabicated learning task and a study guide, (2) students study the material autonomously according to their own pace for a certain period of time, (3) the teacher strengthens the students' motivation through grading and feedback after students study a subject and solve the evaluation problem. The learning materials for Personalized system of instruction are re-edited the offline education contents provided by the blended e-learning to the level of students. The 118 $7^{th}$ grade students from the D middle school participated in this study. The results were verified by achievement tests before and after the study, as well as survey regarding their attitude toward mathematics. The results are as follows. First, Blended e-learning has more positive impacts than Personalized system of instruction in mathematics achievement. Second, there was no difference in mathematics achievement according to their self-directed learning between Blended e-learning and Personalized system of instruction. Third, both types utilizing Blended e-learning and Personalized system of instruction have positive effect on attitude toward mathematics, and there is not their difference between two methods of teaching and learning mathematics.

• 정보과학회 컴퓨팅의 실제 논문지
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• 제23권5호
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• pp.328-333
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• 2017

모바일 플랫폼에서 게임은 가장 전력을 많이 소모하여 배터리 사용시간을 단축시키는 응용 중 하나이다. 따라서 모바일 게임은 스마트폰의 배터리 사용시간을 늘리기 위한 중요한 전력관리 대상이다. 그러나 모바일 게임 실행 중에 배터리 용량이 급격히 감소하는 현상은 빈번하게 발생하는 문제이며 사용자가 많은 여러 모바일 게임의 동작을 검토해 본 결과 멀티 쓰레드로 동작하는 동안 특정 쓰레드가 불필요하게 CPU 사용량을 높게 점유하여 에너지가 낭비되는 경우가 발생하였다. 따라서 본 논문은 게임 실행 중 Quality of Service(QoS)와 무관하게 비정상적으로 CPU 사용량이 높은 쓰레드를 검출하고 이종 멀티프로세싱 (Heterogeneous Multi-Processing)의 특성을 활용하여 QoS 저하 없이 전력소모를 감소시키는 최적화 기법을 제안한다. 제안된 기법을 상용 스마트폰(삼성 Galaxy S6 Edge)에 적용하여 QoS 저하 없이 최대 58%의 에너지 효율 향상이 가능하였다.

• 국제지역연구
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• 제15권2호
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• pp.151-173
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• 2011

본 연구의 목적은 1979년부터 2008년까지 30년 기간 동안 중국에 있어서 경제성장에 영향을 미치는 중요 요소와 요소별 기여수준을 파악하기 위한 것이다. 이를 위하여 고정효과모형과 확률효과모형을 활용하였으며, 적합모델을 선택하기 위하여 Hausman 검정을 활용하였다. 본 연구의 결과 지역금융변수(rsav)가 6개 모형에서 그리고 사회간접자본변수(rsoc)가 2개 모형에서 경제성장에 대해 부(-)의 관계를 보였으나 나머지 3개 변수는 전 모델에서 경제성장에 대해 정(+)의 관계를 보이고 있는 것으로 나타나고 있다. 그리고 노동력 변수의 영향은 서부지역과 동북지역의 경우를 제외하고는 기여율이 상당히 낮은 것으로 파악되었다. 본 연구는 중국의 1인당경제성장률에 대한 각 성장요인의 의미를 찾았는데, 전국모형의 경우 자본의 기여율이 35.9%로 나타난 반면 노동기여율은 4.7% 수준에 불과한 것으로 분석되었다. 그리고 모든 모형에서 자본(rcap)이 중국경제 성장에서 가장 중요한 요인으로 입증되었다.

• Journal of Korea Trade
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• 제27권2호
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• pp.96-114
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• 2023

Purpose - This paper elucidates a nexus between the occurrence of rare disaster events and the volatility of economic growth by distinguishing the likelihood of rare events from stochastic volatility. We provide new empirical facts based on a quarterly time series. In particular, we focus on the role of financial liberalization in spreading the economic crisis in developing countries. Design/methodology - We use quarterly data on consumption expenditure (real per capita consumption) from 44 countries, including advanced and developing countries, ending in the fourth quarter of 2020. We estimate the likelihood of rare event occurrences and stochastic volatility for countries using the Bayesian Markov chain Monte Carlo (MCMC) method developed by Barro and Jin (2021). We present our estimation results for the relationship between rare disaster events, stochastic volatility, and growth volatility. Findings - We find the global common disaster event, the COVID-19 pandemic, and thirteen country-specific disaster events. Consumption falls by about 7% on average in the first quarter of a disaster and by 4% in the long run. The occurrence of rare disaster events and the volatility of gross domestic product (GDP) growth are positively correlated (4.8%), whereas the rare events and GDP growth rate are negatively correlated (-12.1%). In particular, financial liberalization has played an important role in exacerbating the adverse impact of both rare disasters and financial market instability on growth volatility. Several case studies, including the case of South Korea, provide insights into the cause of major financial crises in small open developing countries, including the Asian currency crisis of 1998. Originality/value - This paper presents new empirical facts on the relationship between the occurrence of rare disaster events (or stochastic volatility) and growth volatility. Increasing data frequency allows for greater accuracy in assessing a country's specific risk. Our findings suggest that financial market and institutional stability can be vital for buffering against rare disaster shocks. It is necessary to preemptively strengthen the foundation for financial stability in developing countries and increase the quality of the information provided to markets.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.157-157
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• 2022

Recent decades have seen all over the world increasing drought in some regions and increasing flood in others. Climate change has been alarming in many regions resulting in degradation and diminution of available freshwater. The effect of global warming and overpopulation associated with increasing irrigated farming and valuable agricultural lands could be particularly disastrous for coastal areas like the one of Benin. The coastal region of Benin is under a heavy demographic pressure and was in the last decades the object of important urban developments. The present study aims to roughly study the general effect of climate change (Sea Level Rise: SLR) and groundwater pumping on Seawater intrusion (SWI) in Benin's coastal region. To reach the main goal of our study, the region aquifer system was built in numerical model using SEAWAT engine from Visual MODFLOW. The model is built and calibrated from 2016 to 2020 in SEAWAT, and using WinPEST the model parameters were optimized for a better performance. The optimized parameters are used for seawater intrusion intensity evaluation in the coastal region of Benin The simulation of the hydraulic head in the calibration period, showed groundwater head drawdown across the area with an average of 1.92m which is observed on the field by groundwater level depletion in hand dug wells mainly in the south of the study area. SWI area increased with a difference of 2.59km² between the start and end time of the modeling period. By considering SLR due to global warming, the model was stimulated to predict SWI area in 2050. IPCC scenario IS92a simulated SLR in the coastal region of Benin and the average rise is estimated at 20cm by 2050. Using the average rise, the model is run for SWI area estimation in 2050. SWI area in 2050 increased by an average of 10.34% (21.04 km²); this is expected to keep increasing as population grows and SLR.

• 환경영향평가
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• 제32권5호
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• pp.305-317
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• 2023

본 연구에서는 생태계교란 식물 관리의 효율성을 제고할 수 있는 시민과학연구 방법론을 제안하고 습지보호지역 3개소를 대상으로 적용성을 검토하였다. 습지보호지역 3개소(광주광역시 장록, 경남 고성 마동호, 고창 운곡습지 습지보호지역)를 대상으로 (a) 일대 거주민 등 시민과학자를 모집하여 2022년 9월 18일부터 10월 31일까지 생태계교란 식물 4종(가시박, 도깨비가지, 돼지풀, 양미역취) 자료를 국제생태정보플랫폼(EcoBank)에 수집하고, (b) 생태계교란 식물의 위치와 밀도(3단계: 개체-개체군-군집)를 수록한 분포밀도 지도제작 후, (c) 생태계교란 식물 제거·관리주체인 환경청과 지자체에 제공하였다. 이후 자료를 제공받은 환경청과 지자체에 (d) 생태계교란 식물 분포지도의 활용처와 향후 발전방향에 대한 의견을 수렴하였다. 그 결과 전국단위의 생태계교란 생물 현장관리 가이드를 보완할 수 있도록 시민과학자를 활용한 모니터링이 지속되어야 하며, 수집된 결과의 활용성을 높이기 위해서는 조사대상종의 확대(환경부 지정 생태계교란 식물 17종 전체) 및 변화상 파악을 위한 모니터링 시기의 확대가 필요한 것으로 나타났다. 향후 시민참여에 의한 교란생물 조사·관리의 효과성에 대한 연구가 진행되어 생태계교란 생물 제거 사업 수행 시 시민과학자의 제거사업 참여로 인한 현장관리의 효율성, 시민과학연구모델을 접목한 제거 전후 변화상 추적 등 장기적 관점의 관리효과가 검토되어야 할 것이다.

• 한국안전학회지
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• 제34권6호
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• pp.13-21
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• 2019

Leakage accidents in businesses dealing with hazardous chemicals can have a great impact on the workers inside the workplace, as well as residents outside the workplace. In fact, there were cases where hazardous chemicals leaked from many businesses. As a result, the Chemicals Control Act(CCA) was enacted in 2015, the Ministry of Environment introduced an Off-site Risk Assessment(ORA). The purpose of the ORA is to secure safety from the installation of the design of the workplace facilities so that chemical accidents of hazardous chemical handling facilities do not cause human or physical damage outside the workplace. In general, the ORA qualitatively determines where a protected facility is within the scope of the accident scenario. However, elderly who belong to the sensitive group is more sensitive than the general group under the same chemical accident effect, and the extent of the damage is serious. According to data from the Korea National Statistic Office, the number of elderly people is expected to increase steadily. Therefore, a quantitative risk analysis considering the elderly is necessary as a result of a chemical accident. In this study, accident scenarios for 14 locations were set up to perform emergency evacuation due to toxic gas leakage of Cl₂(Chlorine) and HF(Hydrogen Fluoride), and the effects of exposure were analyzed based on the evacuation velocity difference of age 20s and 60s. The ALOHA(Areal Locations of Hazardous Atmospheres) program was used to calculate the concentration for assessing the effects. The time of exposure to toxic gas was calculated based on the time it took for the evacuation to run from the start point to the desired point and a methodology was devised that could be applied to the risk calculation. As a result of the study, the relative risk of the elderly, the sensitive group, needs to be determined.