오대산국립공원 내 뱀류 로드킬의 발생 경향 파악 및 예방을 위하여 2006-2017년 사이 공원 내에서 발생한 뱀류 로드킬 자료를 확보 및 분석하였고, 잠재적 발생지 예측을 위하여 종분포모델을 제작하였다. 연구기간 동안 뱀류 로드킬 은 600m 대의 양쪽 환경이 산림-수계인 도로에서 가장 많이 발생하였다. 모델링 결과에서 뱀류 로드킬 발생 가능성은 고도 700m 이하의 하천과의 거리가 25m 부근인 완만한 경사의 도로의 로드킬 발생확률이 높게 나타났다. 국립공원 내 주요 로드킬발생 예측지역은 국도 6호선 도로 위 공원 남쪽 경계로부터 약 2.2㎞ 지역과 약 11.7㎞ 지역이, 지방도 446호선 도로 위 공원 남쪽 경계로부터 약 3.44㎞ 지역이었다. 본 연구결과는 해발고도 700m 이하 수계와 인접한 도로 주변에 우선적으로 대체 일광욕 장소, 생태통로 및 도로의 유입을 막는 울타리의 설치가 산림에서 뱀류 로드킬을 줄이는 효과적인 방안이 될 것을 제시한다.

PURPOSES :This study aims to improve complex modeling of multivariable, nonlinear, and overdispersion data with an artificial neural network that has been a problem in the civil and transport sectors.METHODS :Deep learning, which is a technique employing artificial neural networks, was applied for developing a large bus fuel consumption model as a case study. Estimation characteristics and accuracy were compared with the results of conventional multiple regression modeling.RESULTS :The deep learning model remarkably improved estimation accuracy of regression modeling, from R-sq. 18.76% to 72.22%. In addition, it was very flexible in reflecting large variance and complex relationships between dependent and independent variables.CONCLUSIONS :Deep learning could be a new alternative that solves general problems inherent in conventional statistical methods and it is highly promising in planning and optimizing issues in the civil and transport sectors. Extended applications to other fields, such as pavement management, structure safety, operation of intelligent transport systems, and traffic noise estimation are highly recommended.

This study aims at providing basic data to objectively evaluate the areas suitable for reintroduction of the species of Asiatic black bear (Ursus thibetanus) in order to effectively preserve the Asiatic black bears in the Korean protection areas including national parks, and for the species restoration success. To this end, this study predicted the potential habitats in East Asia, Southeast Asia and India, where there are the records of Asiatic black bears’ appearances using the Maxent model and environmental variables related with climate, topography, road and land use. In addition, this study evaluated the effects of the relevant climate and environmental variables. This study also analyzed inhabitation range area suitable for Asiatic black and geographic change according to future climate change. As for the judgment accuracy of the Maxent model widely utilized for habitat distribution research of wildlife for preservation, AUC value was calculated as 0.893 (sd=0.121). This was useful in predicting Asiatic black bears’ potential habitat and evaluate the habitat change characteristics according to future climate change. Compare to the distribution map of Asiatic black bears evaluated by IUCN, Habitat suitability by the Maxent model were regionally diverse in extant areas and low in the extinct areas from IUCN map. This can be the result reflecting the regional difference in the environmental conditions where Asiatic black bears inhabit. As for the environment affecting the potential habitat distribution of Asiatic black bears, inhabitation rate was the highest, according to land coverage type, compared to climate, topography and artificial factors like distance from road. Especially, the area of deciduous broadleaf forest was predicted to be preferred, in comparison with other land coverage types. Annual mean precipitation and the precipitation during the driest period were projected to affect more than temperature’s annual range, and the inhabitation possibility was higher, as distance was farther from road. The reason is that Asiatic black bears are conjectured to prefer more stable area without human’s intervention, as well as prey resource. The inhabitation range was predicted to be expanded gradually to the southern part of India, China’s southeast coast and adjacent inland area, and Vietnam, Laos and Malaysia in the eastern coastal areas of Southeast Asia. The following areas are forecast to be the core areas, where Asiatic black bears can inhabit in the Asian region: Jeonnam, Jeonbuk and Gangwon areas in South Korea, Kyushu, Chugoku, Shikoku, Chubu, Kanto and Tohoku’s border area in Japan, and Jiangxi, Zhejiang and Fujian border area in China. This study is expected to be used as basic data for the preservation and efficient management of Asiatic black bear’s habitat, artificially introduced individual bear’s release area selection, and the management of collision zones with humans.

Recently, the manufacturers of life-jacket are very interested in the acquisition of USCG(US Coast Guard) approval because the acquisition of USCG approval has an important role in the purchasing decision of the buyer's. Be based on criterion of USCG, we studied how to predict the change of floating position of human model with life-jacket to verify the backside restore. For this, in this study, the human model and the lifejacket was modeled in three dimension, the application program for prediction of floating position was developed, and plugged-in commercial program.

Myzus persicae, Heliothis assulta and Frankliniella occidentalis are the most severe pests of pepper in Korea. IPCC (Intergovernmental Panel on Climate Change) reported that the temperature would increase 7℃ at the end of this century. According to the elevated temperature, the pest population will be grow dramatically. We need to predict the pest-population size to maintain good crop productivity. DYMEX and CLIMEX are commercial software developed by CSIRO in Australia, to build and simulate population dynamics models. Using this software, we predicted population dynamics of M. persicae, H. assulta and F. occidentalis applying past climate data (1970) and future climate data (2070) which were generated by National Institute of Meteorological Research (NIMR). The population growth rates of M. persicae, H. assulta and F. occidentalis were 6300, 16 and 950 times, respectively, with 5 degree elevation. Therefore pest management should be conducted intensively in the future.

팻취 보강된 철근콘크리트 구조물 해석을 위한 p-version 비선형 유한요소 모델이 제시되었다. 이방성 적층평판이론에 기초를 둔 제안된 모델은 Total Lagrangian기법에 기초한 von Karman의 대변형-소변형률 이론과 증분소성이론(incremental theory of plasticity)을 적용하였다. 콘크리트의 경화법칙(hardening rule)과 그에 따른 파괴기준을 고려하고, 단부 계면 층분리 모델(plate-end interfacial debonding model) 즉, 보강판 끝 부분에서의 콘크리트 탈락에 대한 기준으로서 Oehlers Model과 Raoof and Zhang Model을 사용하였다. 콘크리트는 두께 방향으로 층상화기법(layered model)이 이용되며, 철근과 보강판은 환산층(smeared reinforcing layer)으로 계산되도록 하였다 적분형 르장드르 다항식이 형상함수로 사용되며, 절점에서의 응력값 산출을 위해 Gauss Lobatto 수치적분법을 사용하였다. 본 연구의 목적은 p-version 유한요소법을 사용하여 RC구조물에 대한 수피해의 정확도 및 모델의 단순성을 높인 수 있도록 하였다. 따라서, 철근과 콘크리트모델에 대한 이론적 근거는 기존의 연구문헌에 근거를 두었으며, 수치해석의 적정성은 팻취 보강된 RC보와 슬래브에 대한 문헌의 실험치 및 해석치와 비교 분석되었다.

본 논문에서는 유연한 철제와 목조 지붕구조체를 가진 1/2 축소 전단벽 건물의 진동대 실험결과를 이용한 성공적인 구조물의 재해석과 선형ㆍ비선형 동적특성을 연구하기 위한 해석모델링 방법에 대해서 연구하였다. 대상 건물은 유연한 지붕구조체와 4개의 보강조적조 전단벽으로 구성되어 있다. 유연한 지붕구조체의 동적특성 때문에 다자유도 모델을 사용하였으며, 다수의 선형 및 비선형 동적해석을 실행하기 위하여 구조물의 자유도를 단순화하였다. 각각의 구조부재의 이력특성과 재료특성 그리고 동적해석을 수행하기 위한 주요 구조변수의 적절한 설정 방법에 대하여 고찰하였다.

평판형 모듈 설계의 최적화를 목적으로 feed 흐름 조건에 따른 feed 온도 및 유속분포를 예측할 수 있는 모델식을 확립하였고 모델 모사를 통해 흐름 조건들이 온도 분포에 끼치는 영향들을 조사하였다. 모델내의 유체의 Re 크기가 커지면 채널 두께방향으로의 유속 구배가 커질 뿐 아니라 투과물 증발을 위한 에너지원인 feed 흐름 속도가 커져 물질 및 열흐름이 증가하여 투과물 증발로 인한 feed 온도 강하가 증어든다. 반면에 채널 간격이 작아지면 feed 흐름량이 상대적으로 작아져 급격한 온도 강하를 야기시킨다. Re 크기에 따른 feed 온도 변화는 실험결과와 일치함이 관찰되었다.

상관관계가 높은 복합열화의 완벽한 개별예측모델의 개발은 매우 어려운 문제로, 본 논문에서는 현수교 시스템의 미래열화와 유지 예산을 예측하기 위하여, 10년간의 유지 데이터가 주어진 매개변수(파손지표와 사용성)의 사후 확률 밀도함수를 찾기 위해 베이지언 추론을 적용하였다. 마르코프 연쇄 몬테카를로법을 이용하여 매개변수의 사후 분포를 조사하였다. 감소한 사용성의 모의위험예측은 사전분포와 연간유지 업무에서 업데이트한 데이터의 가능성에 따라 작성한 사후 분포이다. 기존의 선형 예측 모델과 비교하면, 제안된 2차 모델은 교량부품의 사용성, 위험요소, 그리고 유지 예산의 측정 데이터에 대하여 매우 개선된 수렴성과 근접성을 제공한다. 따라서 제안된 2차 추계학적 회귀 모델을 기반으로 복잡한 사회간접설비의 미래 성능과 유지관리예산을 예측하고 제어할 수 있는 기회를 제공할 것으로 기대한다.

In this study we established the high throughput screening system of high functional soybean cultivars using PLS modeling from FT-IR spectral data of soybean(Glycine max L) seeds. Crude extract of 20% methanol from soybean seed powders (153 lines) were used for FT-IR spectroscopy. Total fatty acid, carotenoids, flavonoids and phenolic compounds contents from soybean seed powders were analyzed using UV-spectrum and GC analysis respectively. PCA analysis showed that 153 soybean lines formed a single clusters with a few outlier. PC score 1 and 2 represented 39.5, 16.4% of total variation, respectively. And than showed change patten from the middle to outside for PCA plot. We conducted PLS regression analysis between FT-IR spectral data and fatty acids data. Palmitic acid showed the highest regression coefficient (R=0.78). This result implied that the content of palmitic acid could be predicted from FT-IR spectral data from soybean seed powders with relatively high fidelity. PLS modeling of total carotenoids also showed regression coefficient of 0.69. Regression coefficient of total flavnoids and phenolic compounds were 0.44, 0.39, respectively. At present, we are trying to confirm the accuracy of PLS prediction modeling using targeted metabolite analysis (GC-MS, LC-MS) from predicted soybean lines. To increase the accuracy of PLS modeling, we also trying to standardization of spectroscopy and spectral data processing. Furthermore we are going to develop PLS modeling from GC-MS, LC-MS data. The PLS prediction modeling established in this study could be applied for high throughput screening of other leguminous plant.

To investigate air quality away from the coastal urban source region, we used a hybrid Eulerian-Lagrangian method which can describe the formation, transport, transformation and deposition processes in complex terrain. with inclusion of shipping sources that were considered to be important emission in the coastal urban region. The result of the Eulerian advection - diffusion prediction was quite similar to that of the Lagrangian particle diffusion prediction. It showed that pollutants emitted from piers can affect the part of inland, especially Dongrae and the coastal area. Those emitted from Sasang and Janglim industrial complexes can affect Hwamyeong and the coastal, respectively. During the daytime the concentration was low due to large deposition flux and terrain effect.