• 한국농공학회논문집
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• 제63권5호
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• pp.1-11
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• 2021

Soil moisture plays a critical role in hydrological processes, land-atmosphere interactions and climate variability. It can limit vegetation growth as well as infiltration of rainfall and therefore very important for agriculture sector and food protection. Recently, due to the increased damage from drought caused by climate change, there is a frequent occurrence of shortage of agricultural water, making it difficult to supply and manage stable agricultural water. Efficient water management is necessary to reduce drought damage, and soil moisture management is important in case of upland crops. In this study, soil moisture was calculated based on the water balance model, and the suitability of soil moisture data was verified through the application. The regional soil moisture was calculated based on the meteorological data collected by the meteorological station, and applied the Runs theory. We analyzed the spatiotemporal variability of soil moisture and drought impacts, and analyzed the correlation between actual drought impacts and drought damage through correlation analysis of Standardized Precipitation Index (SPI). The soil moisture steadily decreased and increased until the rainy season, while the drought size steadily increased and decreased until the rainy season. The regional magnitude of the drought was large in Gyeonggi-do and Gyeongsang-do, and in winter, severe drought occurred in areas of Gangwon-do. As a result of comparative analysis with actual drought events, it was confirmed that there is a high correlation with SPI by each time scale drought events with a correlation coefficient.

• 한국농공학회논문집
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• 제66권4호
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• pp.41-50
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• 2024

Precipitation is an important component of the hydrological cycle and a key input parameter for many applications in hydrology, climatology, meteorology, and weather forecasting research. Grid-based satellite rainfall products with wide spatial coverage and easy accessibility are well recognized as a supplement to ground-based observations for various hydrological applications. The error properties of satellite rainfall products vary as a function of rainfall intensity, climate region, altitude, and land surface conditions. Therefore, this study aims to evaluate the commonly used new global grid-based satellite rainfall product, Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), using data collected at different spatial and temporal scales. Additionally, in this study, grid-based CHIRPS satellite precipitation data were used to evaluate the 2022 extreme drought. CHIRPS provides high-resolution precipitation data at 5 km and offers reliable global data through the correction of ground-based observations. A frequency analysis was performed to determine the precipitation deficit in 2022. As a result of comparing droughts in 2015, 2017, and 2022, it was found that May 2022 had a drought frequency of more than 500 years. The 1-month SPI in May 2022 indicated a severe drought with an average value of -1.8, while the 3-month SPI showed a moderate drought with an average value of 0.6. The extreme drought experienced in South Korea in 2022 was evident in the 1-month SPI. Both CHIRPS precipitation data and observations from weather stations depicted similar trends. Based on these results, it is concluded that CHIRPS can be used as fundamental data for drought evaluation and monitoring in unmeasured areas of precipitation.

• 한국인터넷방송통신학회논문지
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• 제10권6호
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• pp.23-29
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• 2010

오늘날은 사회 안전을 강화하기 위하여 공공장소에서 유기물을 자동으로 검출하는 지능적 비전 감시 시스템을 설계하는 것이 필요한 때이다. 그런데, 이미 인지된 유기물의 일부분 또는 전체는 주변사람들로 가려질 수가 있다. 필수 지표 중 하나인 PAT를 개선하기 위해서는 시스템이 이러한 가려짐 문제를 극복해야만 한다. 이 연구에서는 이러한 가려짐 문제를 고려하여 강인한 검출시스템을 구축하기 위해서 여러 단계로 구성된 새로운 설계 기법을 제안한다. 제안된 시스템의 유용성을 보이기 위하여 6개의 다양한 상황을 포함하는 이미지 스트림에 대해서 평가를 시행했고, 그 실험 결과는 침입과 유기 행위에 대해 각각 96%와 75%의 성능을 보인다. 마지막으로 다수의 사람에 의한 가림 현상에도 불구하고 제안된 시스템은 계속적으로 유기물을 인지하는 성능을 보이고 있다.

• 한국위성정보통신학회논문지
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• 제10권4호
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• pp.77-82
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• 2015

본 논문은 빅 데이터 분석을 이용하여 산악 안전사고를 예방하기 위하여 사고 예측 모델을 제시하였다. 산악 안전사고의 축적된 데이터를 파악하기 쉽게 그래프로 나타내었다. 사고가 발생하는 패턴을 알기 위하여 산악 안전사고 발생 건수의 연도별 분석, 연간 월별 사고 발생 건수, 요일별, 시간대별 분석을 수행하였다. 나타낸 그래프를 이용하여 산악 안전사고의 영향을 미치는 변수들을 가중치 모델링을 통하여 사고 예측 모델을 구성하였다. 산악 지역의 사고 다발 구역에 제시한 모델을 적용하여 예측 모델의 성능을 검정하였다.

• 한국직업건강간호학회지
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• 제26권3호
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• pp.160-171
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• 2017

Purpose: This review aimed to integrate the results of studies related to presenteeism in clinical nurses and to suggest directions for future research. Methods: The search for relevant studies was conducted using six data bases according to predetermined index terms, "$nurs^*$" and "presenteeism." Thirteen studies that met the inclusion criteria were selected and analyzed. Results: This review found that the conceptual use and scope of presenteeism were not consistent among the studies. Most studies investigated the nurses' health-related variables as the most important factors and reported their positive association with presenteeism. Presenteeism was also found to be associated with job stress, job satisfaction, social support, and organizational culture and had a negative impact on nursing outcomes such as patient safety. Conclusion: The research on presenteeism can be used as a way to explain outcomes in the field of nursing where direct measurement of productivity is difficult. Presenteeism is a multidimensional problem, and a theoretical foundation is needed to explain the presenteeism of clinical nurses.

• 한국BIM학회 논문집
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• 제12권2호
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• pp.1-11
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• 2022

Road traffic accidents (RTAs) are the leading cause of accidental death among children. RTA reduction is becoming an increasingly important social issue among children. Municipalities aim to resolve this issue by introducing "Smart Pedestrian Crosswalks" that help prevent traffic accidents near children's facilities. Nonetheless such facilities tend to be installed in relatively limited number of areas, such as the school zone. In order for budget allocation to be efficient and policy effects maximized, optimal location selection based on machine learning is needed. In this paper, we employ machine learning models to select the optimal locations for smart pedestrian crosswalks to reduce the RTAs of children. This study develops an optimal location index using variable importance measures. By using k-means clustering method, the authors classified the crosswalks into three types after the optimal location selection. This study has broadened the scope of research in relation to smart crosswalks and traffic safety. Also, the study serves as a unique contribution by integrating policy design decisions based on public and open data.

• 한국재난정보학회 논문집
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• 제9권3호
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• pp.266-275
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• 2013

최근 복합재난 환경 속에서 지역 방재력을 구축하기 위한 재난안전관리의 선진화에 대한 새로운 패러다임이 요구되어지고 있다. 이러한 상황속에서 2012년 9월 구미 불산 유출사고를 겪으면서 지방자치단체의 재난안전 역량의 중요성 및 필요성이 부각되었다. 이와 함께 안전 확보에 대한 국민의 관심도 증대는 지역 주민들의 재난안전정보에 대한 권리를 가시화하였고 사회적 이슈로 나타났다. 본 연구에서는 지방자치단체의 재난관리 업무역량을 평가 분석 할 수 있는 프로그램을 개발하였다. 재난관리 역량강화 지표를 데이터베이스화하여 재난관리담당자 중심의 웹 기반 체계를 구축하여 지방자치단체가 자체적으로 재난안전관리 역량 수준을 파악하도록 하였다. 또한, 재난안전관리 정보를 지역주민들이 이해하기 용이하게 지표화하여 공개하도록 하였다. 지방자치단체의 재난관리 역량강화를 위해서는 지역의 취약성을 분석하여 개선사항을 도출하는 노력과 함께 이를 지역주민에게 공시함으로서 지역사회의 참여를 바탕으로 최적의 효과를 거둘 수 있을 것이라 기대한다.

• 한국컴퓨터정보학회논문지
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• 제26권12호
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• pp.85-97
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• 2021

본 논문에서는 재난 상황에서의 신속하고 효과적인 의사결정 및 대응을 지원하기 위하여 학술 연구 논문의 저자소속 기관을 식별하고 이를 바탕으로 협업관계 분석연구를 수행하였다. 이를 위해 국내 학술지 69종에 수록된 재난안전유형 논문 2,308건을 대상으로 KISTI의 한국과학기술인용색인데이터베이스와 기관식별데이터를 기반으로 실험데이터를 구축하였다. 협업관계 분석은 기관, 기관유형, 기관지역, 대학기관의 단위별로 출현빈도 등의 통계 현황을 비교 분석하고, 사회네트워크분석 기법을 사용하여 각각의 동시출현 네트워크의 기본 속성과 주요 중심성 지수를 산출하고 분석하였다. 또한 단위별 네트워크 협업관계를 전체적으로 조망할 수 있도록 시각화 맵을 생성 및 제시하였다. 본 연구의 결과는 효과적인 재난 대응을 지원하는 기관 및 협업 그룹의 탐색 활동과 관련 정보서비스체계 기반 마련에 기여할 수 있을 것으로 기대된다.

• 한국식품위생안전성학회지
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• 제28권3호
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• pp.213-216
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• 2013

Antibiotic Detection Kit (Combination I), a lateral flow immunoassay (LFIA) developed for the detection of antibiotic residues in milk, was utilized for the analysis of antibiotic residues in the muscle tissue of olive flounder. After 60-min treatment by dipping in water dosed with ampicillin (200-g/ton water), the residue depletion of ampicillin was investigated in 25 cultured olive flounder (Paralichthys olivaceus). Muscles of fish were sampled on the 1st, 2nd, 3rd, 4th and 5th day after drug treatment. The concentration of ampicillin in the muscle was determined by LFIA. The absorbance ratio of the sample to the control blank (Bs/Bo) was employed as an index to determine the muscle residues in olive flounder. To investigate the recovery rate, standard solutions were added to muscle samples to give final concentrations in the muscle of 4 and 8 ng/ml. The recovery rates of all spiked samples were > 96% of the spiked value. Ampicillin was detected in the muscle of fish treated with the drug until the 2nd day of the withdrawal period. The present study showed that the LFIA can be easily adopted to predict ampicillin residues in tissue of farmed fishes.

• 대한안전경영과학회지
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• 제16권1호
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• pp.119-127
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• 2014

This study tried to develop a basis for quantitative index of working postures associated with WMSDs (Work-related Musculoskeletal Disorders) that could overcome realistic restriction during application of typical checklists for WMSDs evaluation. The baseline data(for a total of 603 jbs) for this study was obtained from automobile manufacturing company. Specifically, data for back posture was analyzed in this study to have a better and more objective method in terms of job relevance than typical methods such as OWAS, RULA, and REBA. Major statistical tools were clustering, logistic regression and so on. The main results in this study could be summarized as follows; 1) The relationship between working posture and WMSDs symptom at back was statistically significant based on the results from logistic regression, 2) Based on clustering analysis, three levels for WMSDs risk at back were produced for flexion as follows: low risk(< $18.5^{\circ}$), medium risk($18.5^{\circ}{\sim}36.0^{\circ}$), high risk(> $36.0^{\circ}$), 3) The sensitivities on risk levels of back flexion was 93.8% while the specificities on risk levels of back flexion was 99.1%. The results showed that the data associated with back postures in this study could provide a good basis for job evaluation of WMSDs at back. Specifically, this evaluation methodology was different from the methods usually used at WMSDs study since it tried to be based on direct job relevance from real working situation. Further evaluation for other body parts as well as back would provide more stability and reliability in WMSDs evaluation study.