• 한국농공학회논문집
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• 제62권2호
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• pp.63-73
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• 2020

Drought is considered as a devastating hazard that causes serious agricultural, ecological and socio-economic impacts worldwide. Fundamentally, the drought can be defined as temporarily different levels of inadequate precipitation, soil moisture, and water supply relative to the long-term average conditions. From no unified definition of droughts, droughts have been divided into different severity level, i.e., moderate drought, severe drought, extreme drought and exceptional drought. The drought severity classification defined the ranges for each indicator for each dryness level. Because the ranges of the various indicators often don't coincide, the final drought category tends to be based on what the majority of the indicators show and on local observations. Evaporative Stress Index (ESI), a satellite-based drought index using the ratio of potential and actual evaporation, is being used as a index of the droughts occurring rapidly in a short period of time from studies showing a more sensitive and fast response to drought compared to Standardized Precipitation Index (SPI), and Palmer Drought Severity Index (PDSI). However, ESI is difficult to provide an objective drought assessment because it does not have clear drought severity classification criteria. In this study, U.S. Drought Monitor (USDM), the standard for drought determination used in the United States, was applied to ESI, and the Percentile method was used to classify drought categories by severity. Regarding the actual 2017 drought event in South Korea, we compare the spatial distribution of drought area and understand the USDM-based ESI by comparing the results of Standardized Groundwater level Index (SGI) and drought impact information. These results demonstrated that the USDM-based ESI could be an effective tool to provide objective drought conditions to inform management decisions for drought policy.

• 한국습지학회지
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• 제13권1호
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• pp.25-33
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• 2011

인위적, 자연적, 지리적, 시간적 요소 등에 의하여 기후가 변동되는 현상을 '기후변화'라 하며, 이는 수십년 또는 그 이상 지속되는 변동성이 평균적 상태에 대해 통계적으로 중요한 변화라고 정의된다. 이러한 기후변화가 최근 들어 급속하게 진행되어 자연재해가 발생함에 따라 세계는 이 변화의 추이를 예의 주시하고 있다. 특히 수자원 분야의 기후변화에 대한 취약성은 다른 분야에 비해 높을 것으로 평가되며, 이러한 기후변화로 인한 취약성을 예측하고 재해를 방지하는 것은 이 분야에서의 주요 사안이라고 할 수 있겠다. 국내의 수자원 분야 취약성 평가는 아직 미흡하므로, 본 연구에서는 수자원 분야의 전문가들을 대상으로 델파이 기법을 사용하여 우리나라 중소하천의 기후변화 취약성에 대하여 분석하였다. 조사는 총 3차에 걸쳐 실시하였으며 1차에서 총점분석을 이용하여 대리변수를 선정하였고, 1차에서 선택된 대리 변수들은 2 3차에서 항목 별 분석을 하였고, 이를 통하여 전문가 의견을 평가 정리하였다. 전반적으로 전문가 의견은 조사가 진행될수록 편차가 줄어들며 합의가 진전되었다. 추후연구로는 연구대상지역에 대한 직접적인 취약성 평가의 진행이 필요할 것으로 예상된다.

• Spatial Information Research
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• 제18권5호
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• pp.55-61
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• 2010

본 연구는 남극과 같은 극한지에 대한 초분광영상의 활용방안 제시를 위해 시도되었다. 연구 대상 지역은 국내 남극 기지 후보지로 결정된 테라노바만 지역으로, 암반 위에 건설되는 기지의 특성상 기반암의 위치 및 안정도는 매우 중요한 분석인자라 할 수 있다. 현지 측정 자료의 경우, 상대적으로 좁은 지역에서 이루어지고 측정이 힘든 지역이 많아 후보지역의 전체적 특징을 측정하는 데는 한계가 있다. 이에 위성영상을 이용한 광역지역의 다양한 정보제공이 요구되어 진다. 본 연구에서는 초분광영상의 풍부한 분광정보를 이용하여 기반암 지역을 추출한 후 주요 암석종류에 대해 탐지 및 분류를 시도하였다. 이를 위해 국제적인 암석 분광라이브러리를 사용하였다. 탐지 결과, 초분광영상의 중적외선밴드가 암석 탐지에 매우 유용한 것으로 나타났으며, 주요 암석의 분포 정보를 산출할 수 있었다. 향후 연구에서는 충분한 현지 측정자료를 이용한 보다 정량적인 연구결과의 검증을 시도할 예정이다.

• Journal of Animal Science and Technology
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• 제59권7호
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• pp.13.1-13.6
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• 2017

This study was conducted to investigate the behavioral and physiological changes of heat stressed Corriedale ewes exposed to water deprivation. Nine Corriedale ewes (average $BW=45{\pm}3.7kg$) were individually fed diets based on maintenance requirements in metabolic crates. Ewes were assigned into three groups (9 sheep per treatment) according to a $3{\times}3$ Latin square design for 3 periods with 21-d duration for each period. The control (CON) group was given free access to water, 2 h water deprivation (2hWD), and 3 h water deprivation (3hWD) following feeding. No differences were found in fecal excretion frequency, standing frequency (number/d), and sitting frequency among the groups (p > 0.05). Measurements of standing duration (min/d) and urine excretion frequency (number/d) showed a significant decrease whereas sitting duration (min/d) showed a significant increase in the 2hWD and 3hWD groups when compared with the CON group (p < 0.05). Fecal score and heart rate (number/min) were not different among the groups (p > 0.05). However, respiratory rate (number/min) and panting score were found to be significantly higher in the 2hWD and 3hWD groups than in the CON group (p < 0.05). It is concluded that water deprivation following feeding intensifies physiological heat stress related indicators such as respiratory rate and panting score and changes behavioral parameters such as water intake and urine excretion frequency in heat stressed ewes. Daily adaptation to the extreme environmental conditions may occur actively in ewes.

• 한국산학기술학회논문지
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• 제19권7호
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• pp.36-41
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• 2018

미광증폭장비는 밤과 같이 어두운 환경에서 주로 가시광선 대역의 약한 빛을 증폭시켜 육안으로 관측할 수 있을 정도의 밝기로 만들어주는 장비이다. 이러한 방식은 어느 정도의 약한 빛이 존재하는 환경에서는 그 증폭 효과를 제대로 발휘하여 선명한 영상을 얻을 수 있지만, 달빛조차 존재하지 않는 극 저조도 환경에서는 기본적으로 증폭시킬 빛이 부족하여 출력 영상에 많은 노이즈로 인하여 화면의 선명도가 저하된다. 본 연구에서는 이러한 극 저조도 환경에서 발생하는 미광증폭 장비의 출력 노이즈를 다중 필터와 이방성 확산을 이용하여 화질을 개선하는 방법을 제안하였다. 실험을 위하여 극 저조도 조건에 맞는 환경을 구성한 상태에서 미광증폭장비의 출력 영상을 촬영한 후, 화질 개선을 위한 신호처리를 하였다. 신호처리를 위한 필터의 구성은 영상에 나타나는 주된 노이즈인 점 노이즈 제거와 가우시안 노이즈의 효과적인 제거를 위하여 메디안 필터, 위너 필터를 적용시킨 후 이방성 확산을 이용하였다. 실험 결과 화질이 개선됨을 육안으로 확인할 수 있었고, 정량 지표인 PSNR 및 SSIM으로 비교하여 측정한 방법에서도 모두 개선된 값을 보여주었다.

• 한국관개배수논문집
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• 제18권2호
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• pp.33-42
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• 2011

Climate change has impacts on not only the average temperature rise but also the intensity and frequency of extreme events such as flood and drought. It is also expected that the damages on agricultural infrastructure will be increased resulting from increased rainfall intensity and frequency caused by climate change. To strengthen the climate change adaptation capacity, it is necessary to identify the vulnerability of a given society's physical infrastructures and to develop appropriate adaptation strategies with infrastructure management because generally facilities related to human settlements are vulnerable to climate changes and establishing an adaptive public infrastructure would reduce the damages and the repair cost. Therefore, development of mitigation strategies for agricultural infrastructure against climatic hazard is very important, but there are few studies on agricultural infrastructure vulnerability assessment and adaptation strategies. The concept of vulnerability, however, is difficult to functionally define due to the fact that vulnerability itself includes many aspects (biological, socioeconomic, etc.) in various sectors. As such, much research on vulnerability has used indicators which are useful for standardization and aggregation. In this study, for the vulnerability assessment for agricultural infrastructure, 3 categories of climate exposure, sensitivity, and adaptation capacity were defined which are composed of 16 sub-categories and 49 proxy variables. Database for each proxy variables was established based on local administrative province. Future studies are required to define the weighting factor and standardization method to calculate the vulnerability indicator for agricultural infrastructure against climate change.

• 한국의료질향상학회지
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• 제25권2호
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• pp.16-25
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• 2019

Purpose:The healthcare system of South Korea is at the extreme of the dispersed system. Few regulations limit patients from directly visiting higher-level medical institutions for primary care sensitive conditions. As a result, similar to local clinics, general and tertiary teaching hospitals also provide diverse primary care services. Our study aimed to examine the general public's perceptions of their primary care performance. Methods: Face-to-face surveys were conducted with 1000 adults who were living in South Korea with the aid of a questionnaire that included the Korean Primary Care Assessment Tool (KPCAT). The KPCAT consists of five domains, which are the main indicators of primary care performance: first contact, comprehensiveness, coordination, personalized care, and family/community orientation. One-way analysis of variance and post hoc tests were used to compare the KPCAT scores across the three types of medical institutions. Results: Domain-wise analyses revealed two different patterns. With regard to first contact and its subdomains, the highest and lowest scores emerged for local clinics and tertiary teaching hospitals, respectively. However, the other four domain scores were significantly lower for local clinics than for the other two types of medical institutions. Conclusions: Local clinics were perceived to be medical institutions that are responsible for providing primary care. However, the general public perceived only one domain of their primary care to be superior to that of the other two types of medical institutions: first contact. National efforts should be taken to strengthen their other four domains of primary care by training their workforce and providing appropriate incentives.

• 한국초지조사료학회지
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• 제41권3호
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• pp.189-197
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• 2021

Climate change effects are particularly apparent in many cool-season grasslands in South Korea. Moreover, the probability of climate extremes has intensified and is expected to increase further. In this study, we performed climate change vulnerability assessments in cool-season grasslands based on the analytic hierarchy process method to contribute toward effective decision-making to help reduce grassland damage caused by climate change and extreme weather conditions. In the analytic hierarchy process analysis, vulnerability was found to be influenced in the order of climate exposure (0.575), adaptive capacity (0.283), and sensitivity (0.141). The climate exposure rating value was low in Jeju-do Province and high in Daegu (0.36-0.39) and Incheon (0.33-0.5). The adaptive capacity index showed that grassland compatibility (0.616) is more important than other indicators. The adaptation index of Jeollanam-do Province was higher than that of other regions and relatively low in Gangwon-do Province. In terms of sensitivity, grassland area and unused grassland area were found to affect sensitivity the most with index values of 0.487 and 0.513, respectively. The grassland area rating value was low in Jeju-do and Gangwon-do Province, which had large grassland areas. In terms of vulnerability, that of Jeju-do Province was lower and of Gyeongsangbuk-do Province higher than of other regions. These results suggest that integrating the three aspects of vulnerability (climate exposure, sensitivity, and adaptive capacity) may offer comprehensive and spatially explicit adaptation plans to reduce the impacts of climate change on the cool-season grasslands of South Korea.

• Journal of Animal Science and Technology
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• 제62권6호
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• pp.840-853
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• 2020

The present study was conducted to investigate the effect of a multi-protease on production indicators of broiler chickens fed a crude protein and amino acid deficient-diets for 35 days immediately after hatch. A total of 448 one-day-old Ross 308 male broiler chicks were allocated in a completely randomized design into one of eight dietary treatments (positive control [PC], negative control [NC: minus 0.5% from PC, and minus 2% of lysine, methionine, threonine and methionine plus cysteine], extreme negative control [ENC: minus 1% from PC, minus 4% of lysine, methionine, threonine and methionine plus cysteine], and plus multi-protease 150 or 300 g per ton [e. g., PC-150]; PC, PC-150, NC, NC-150, NC-300, ENC, ENC-150, ENC-300) to give eight replicates with seven birds in a battery cage. Body weight, average daily gain, average daily feed intake, feed conversion ratio, and mortality were measured every week. Carcass traits, proximate analysis of breast meat, and ileum digestibility were analyzed on day 21 and 35. Feeding a multi-protease (i.e., more than 150 g/ton) for 35 days immediately after hatching improved feed efficiency and ileum digestibility (i.e., dry matter, crude protein, and energy) compared to their counterparts (i.e., diets without multi-protease: PC, NC, and ENC). In conclusion, our results indicated that broiler chickens fed nutrients deficient-diet (i.e., crude protein and amino acids) supplemented a multi-protease had an ability to compensate and (or) improve their growth performance commensurate with increased ileal digestibility for 35 days immediately after hatch.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.17-25
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• 2023

The alarming global prevalence of Type 2 Diabetes Mellitus (T2DM) has catalyzed an urgent need for robust, early diagnostic methodologies. This study unveils a pioneering approach to predicting T2DM, employing the Extreme Gradient Boosting (XGBoost) algorithm, renowned for its predictive accuracy and computational efficiency. The investigation harnesses a meticulously curated dataset of 4303 samples, extracted from a comprehensive Chinese research study, scrupulously aligned with the World Health Organization's indicators and standards. The dataset encapsulates a multifaceted spectrum of clinical, demographic, and lifestyle attributes. Through an intricate process of hyperparameter optimization, the XGBoost model exhibited an unparalleled best score, elucidating a distinctive combination of parameters such as a learning rate of 0.1, max depth of 3, 150 estimators, and specific colsample strategies. The model's validation accuracy of 0.957, coupled with a sensitivity of 0.9898 and specificity of 0.8897, underlines its robustness in classifying T2DM. A detailed analysis of the confusion matrix further substantiated the model's diagnostic prowess, with an F1-score of 0.9308, illustrating its balanced performance in true positive and negative classifications. The precision and recall metrics provided nuanced insights into the model's ability to minimize false predictions, thereby enhancing its clinical applicability. The research findings not only underline the remarkable efficacy of XGBoost in T2DM prediction but also contribute to the burgeoning field of machine learning applications in personalized healthcare. By elucidating a novel paradigm that accentuates the synergistic integration of multifaceted clinical parameters, this study fosters a promising avenue for precise early detection, risk stratification, and patient-centric intervention in diabetes care. The research serves as a beacon, inspiring further exploration and innovation in leveraging advanced analytical techniques for transformative impacts on predictive diagnostics and chronic disease management.