• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.492-492
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• 2018

'물발자국(Water Footprint)' 개념은 가상수의 개념이 확장된 것으로 제품 생산과 서비스 전 과정에서 사용된 물의 양을 나타낸다. 따라서 한 국가내의 수자원 총량의 산출 시에 국제 무역을 통해 수출-수입되는 가상수의 양까지 고려하여 국가 물 총합(Water Budget)을 계산한다. 본 연구는 가상수의 수자원 활용에 관한 산업적 차원의 비교를 위하여 산업별 물발자국 산정모델을 구축하고자 하였다. 산업별 물발자국을 산정하기 위하여 첫째, 산업별 용수사용량에 기초하여 물발자국을 산정하였고, 둘째, 단위 물발자국에 기초하여 산업별 물발자국을 산정하였다. 먼저 산업별 용수사용량에 기초한 물발자국 산정은 하향식 접근법을 적용하였다. 국가 산업별 물발자국을 산정한 결과, 산업 전체 물발자국은 약 330억$m^3$이며 그 중 농업계가 연간 118.8억$m^3$으로 전체 물발자국의 36%를 차지하였다. 그 다음은 생활계로 전체의 34%인 111억 4천만$m^3$이다. 축산계의 물 사용량은 연간 2억 6천 7백만$m^3$ 정도이지만, 오염물질을 정화하는데 필요한 물인 회색수의 양이 많아 물발자국이 73억 $m^3$으로 비교적 높게 산정되었다. 공업계의 가상수량은 연간 26억$m^3$으로 타 산업에 비하여 오염부하량이 높지 않아 회색수량이 작게 나타났다. 다음으로 단위 물발자국에 기초하여 산업별 물발자국을 산정하였다. 단위 물발자국과 생산량을 활용하여 산정하는 상향식 접근법을 활용하였다. 1980년대부터 2014년까지 쌀 외 18개 품목에 대한 농산물 생산의 물발자국을 산정한 결과, 전체 물발자국은 평균 90억$m^3$으로 추정되었다. 한편, 2차 산업의 물발자국은 산업연관분석을 활용하여 산정하였다. 산업연관분석을 위하여 한국은행의 산업연관표와 경제총조사의 용수비 항목을 활용하였다. 2차 산업의 총 물발자국을 산정한 결과, 60억 $m^3$으로 추정되었다. 3차 산업의 물발자국도 이와 동일한 방식으로 산업연관표를 활용하여 산정하였다. 산업연관분석을 활용한 3차 산업의 물발자국 산정한 결과, 숙박 및 음식점업에서의 물발자국이 가장 큰 것으로 산정되었다. 이에 따라 Case Study로서 국내 워터파크 대상으로 물발자국을 산정하였다. 자료가 없는 부분을 제외하고 연간 총 840만 $m^3$의 물발자국을 가지는 것으로 나타났으며, 이 중 직접수는 70만 $m^3$, 간접수는 770만 $m^3$으로 간접수의 비율이 92%를 차지하였다.

• Journal of Aerospace System Engineering
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• v.15 no.5
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• pp.8-15
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• 2021

This paper describes a design method using an optimization technique to satisfy the longitudinal handling quality of high maneuverable jet aircraft. The dynamic inversion technique was applied to the target aircraft, and the control gain optimization satisfied the longitudinal short-period handling quality, however, the stability margin was not considered. If the stability margin is not satisfied, it is necessary to directly readjust the gains through trial and error methods for improvement. To improve this, an additional compensator and an optimization constraint were added to the control gain optimization procedure. In addition, the degree of handling quality satisfaction with the optimization result was reevaluated, and additional control evaluation criteria for the convergence of the time response and the steady state error that the flight performance requirement set as the optimization constraint cannot be reflected, and the results are described.

• Korea Science and Art Forum
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• v.37 no.2
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• pp.35-46
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• 2019

The purpose of this study was to develop a hybrid model forecasting the optimal number of employees for the hotel MICE and investigate indicators' reliability and validity empirically. The dominant approach of manpower planning has long been conducted based on heuristic experience in the field of Hotel and MICE. There is little research on the manpower planning and forecasting in the hotel and MICE studies. However, it is significantly important to ensure how many the optimal number of employees are calculated to meet the goals of the company as well as the expectation of their customers. A focus group interview was used to collect data through a series of surveys. A total of 289 samples were collected to test validity of finalized indicators for forecasting the optimal number of employees for the Hotel MICE. The study developed 15 quantitative indicators and 19 qualitative indicators to forecasting the optimal number of employees for the Hotel MICE, based on three types of groups such as 'service-oriented', 'stability-oriented', and 'profitability-oriented' hotel company The study revealed the econometrics formula for the practical application for this field.

• Journal of Environmental Impact Assessment
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• v.28 no.3
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• pp.245-262
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• 2019

The objectives of this study were to construct a three-dimensional water quality model (EFDC) for the river reach between Chilgok Weir and Gangjeong-Goryong Weir (GGW) located in Nakdong River, and evaluate the effect of hydraulic changes, such as water level and flow velocity, on the control of water quality and algae biomass. After calibration, the model accurately simulated the temporal changes of the upper and lower water temperatures that collected every 10 minutes, and appropriately reproduced changes in organic matter, nitrogen, phosphorus, and cyanobacteria. However, the simulated values were overestimated for the diatoms and green algae cell density, possibly due to the uncertainties of the parameters associated with algae metabolism and the lack of zooplankton predation function in the simulations. As a result of scenario simulation of running the water level of GGW from EL. 19.44 m to EL. 14.90 m (4.54 m drop), Chl-a and algae cell density decreased significantly.In particular,the cyanobacteria on the surface layer, which causes algal bloom, declined by 56.1% in the low water level scenario compared to the existing management level. The results of this study are in agreement with the previous studies that maintenance of critical flow velocity is effective for controlling cyanobacteria, and imply that hydraulic control such as decrease of water level and residence time in GGW is an alternative to limit the overgrowth of algae.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.2
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• pp.83-94
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• 2019

Recently, the importance of Total Life Cycle System Management (TLCSM) and LIFE-CYCLE COSTS management is increasing in the development of weapon systems. In cost management, cost forecasting is important from the initial development stage, but it is difficult to predict the total life cycle cost at the development stage. In this study, we propose efficient management cost calculation and management at the development stage of the weapon system by comparison analysis between the PRICE-HL model and NemoSIM to calculate the maintenance cost under the CAIV concept. Based on the study results, further in-depth analyzes of the PRICE-HL model and NemoSIM input values / results are performed. In addition, we provide a more accurate method of calculating the cost of maintaining and operating the weapon system and a plan to utilize the result of NemoSIM in the ILS element development.

• Journal of the Korea Institute of Building Construction
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• v.19 no.4
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• pp.361-371
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• 2019

In 2017, the ratio of the number of victims and deaths in the construction industry was the highest with 25.2% and 29.6%, respectively. Especially, as safety accidents at construction sites continue to increase, the economic loss is greatly increased too. Therefore, in order to prevent safety accidents in the construction work, the safety risk assessment index by type of construction was developed, and the main results of this study are as follows. First, 17 factors related to safety accidents at construction sites were derived through survey and interview survey, and this study suggested 9 items(process, type of construction, progress rate, contract amount, number of floors, safety education, working days and weather) throughout the expert advisory meeting. Second, the risk assessment index for safety accidents was developed based on the ratio and intensity of safety accidents. Third, to verify the risk assessment model, the construction safety risk assessment index by type of construction was derived by surveying and analyzing the statistics of the construction accident. In addition, the risk strength was calculated by dividing human damage caused by construction safety accidents into those killed and injured. The risk assessment index based on the frequency and intensity of safety accidents by type of construction is expected to be utilized as basic data when assessing the risk of similar projects in the future.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.3
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• pp.138-147
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• 2021

The purpose of this study was to develop a measuring tool for the health promotion behavior of Korean nurses. This would address the lack of a proven tool that reflects the nature of the nurses' nursing environment. This study was conducted on 530 nurses from January to December 2019. A literature review and focus group interview were conducted, data analysis was carried out to measure validity and reliability, and the conceptual framework was constructed by applying the IMB model. Five factors namely self-concept (2 questions), hospital life management (4 questions), knowledge and information regarding health (5 questions), physical and mental stress management (3 questions), and work adaptation (2 questions) were framed into 16 questions. The model fit was 346.23 (��<.001), Parsimonious Normed Fit Index (PNFI) was 0.60, and Parsimonious Comparative Fit Index (PCFI) was 0.63, which met the acceptance criteria, and the Root Mean Square Error of Approximation (RMSEA) was 0.10. Goodness of Fit Index (GFI) was 0.88, Comparative Fit Index (CFI) was 0.85, and Incremental Fit Index (IFI) was 0.85 which were found to be acceptable as per the applicable standards. All items had a Cronbach's �� score of .85, which ensured stable reliability. The nurse's health promotion behavior measurement tool developed in this study will be used to measure the nurse's health promotion behavior in terms of nursing practice which will help in understanding the broad contours of this behavior.

• Korean Journal of Clinical Laboratory Science
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• v.53 no.1
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• pp.88-95
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• 2021

Aucklandia lappa Decne., a traditional herbal medicine, has been used to treat various diseases, including asthma, coughs, rheumatism, and diarrhea. In the present study, the effects of the oral administration of Aucklandia lappa Decne. extract on hair growth was investigated in hair-removed mice. A 70% ethanol extract of Aucklandia lappa Decne. (ALD) was prepared, and the extraction yield and total polyphenol content of ALD were measured as 27.30±0.01 and 28.39 mg gallic acid equivalent (GAE)/g, respectively. The oral administration of ALD to hair-removed CL57BL/6 mice for six weeks had no significant effects on food intake and body weight changes. Biochemical and histological examinations also showed that the oral administration of ALD for six weeks had no significant effect on the liver and kidney functions. On the other hand, hair growth was significantly higher in the ALD group than the control group and the Pancidil group (positive control). In addition, the number of hair follicles and the degree of collagen production in the dermis were significantly higher in the ALD group than in the control and pancidil groups. These results suggest that ALD is a potential source of nutricosmetics with hair growth-promoting effects.

• Journal of Intelligence and Information Systems
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• v.28 no.2
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• pp.307-332
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• 2022

One of the most intensively conducted research areas in business application study is a bankruptcy prediction model, a representative classification problem related to loan lending, investment decision making, and profitability to financial institutions. Many research demonstrated outstanding performance for bankruptcy prediction models using artificial intelligence techniques. However, since most machine learning algorithms are "black-box," AI has been identified as a prominent research topic for providing users with an explanation. Although there are many different approaches for explanations, this study focuses on explaining a bankruptcy prediction model using a counterfactual example. Users can obtain desired output from the model by using a counterfactual-based explanation, which provides an alternative case. This study introduces a counterfactual generation technique based on a genetic algorithm (GA) that leverages both domain knowledge (i.e., causal feasibility) and feature importance from a black-box model along with other critical counterfactual variables, including proximity, distribution, and sparsity. The proposed method was evaluated quantitatively and qualitatively to measure the quality and the validity.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.40 no.2
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• pp.119-133
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• 2022

Due to the improvement of surveying, mapping and communication techniques, various apps for road direction guides and vehicle navigations have been developed. Although such a development has impacted on walking and driving, there is a limit to improving the daily convenience of the socially impaired people. This is mainly due to the fact that the software have been developed for normal pedestrians and drivers. Therefore, visually impaired people still have problems with the confusion of direction and/or non-provision of risk factors in walking. This study aimed to propose a scheme which constructs data for mobility-impaired or traffic-impaired people based on various geospatial information. The factors and components related to walking for the visually impaired are selected by geospatial data and a walking route guidance network that can be applied to a commercial software. As a result, it was confirmed that road direction guidance would be possible if additional contents, such as braille blocks (dotted/linear), sound signals, bus stops, and bollards are secured. In addition, an initial version of the application software was implemented based on the suggested data model and its usefulness was evaluated to a visually impaired person. To advance the stability of the service in walking for the visually impaired people, various geospatial data obtained by multiple institutes are necessary to be combined, and various sensors and voice technologies are required to be connected and utilized through ICT (Information and Communications Technologies) technology in near future.