이미지 인식에 특화된 CNN (Convolutional Neural Network) 기반의 딥러닝 기법은 영상의 항목별 분류가 필요한 다양한 연구에 적용되고 있다. 본 연구는 건물, 도로, 논, 밭, 산림, 나지의 6가지 항목을 산림복원 대상 후보지로 정의하고 CNN 기반의 산림복원 대상 후보지 추출 및 분류의 최적 방법론을 탐색하였다. 6,640개의 데이터셋을 75:25의 비율로 훈련(4,980개) 및 검증(1,660개)로 구분하여 구축하고 학습에 활용하였다. 모델별 정확도는 픽셀정확도(PA), 평균 교차 겹침 결합(Mean IoU)을 이용하여 평가하였다. 픽셀정확도는 90.6%, 평균 교차 겹침 결합은 80.8%로 산정되어 Inception-Resnet-v2 모델이 세 모델 중 가장 산림복원 대상 후보지 추출에 뛰어난 정확도를 보였다. 이 결과는 기존의 산림복원 대상 후보지 현장조사 혹은 항공사진을 활용한 조사에 비해 시공간적 이점을 가지며, 향후 산림복원 대상지 선정 자료로 적용 가능성이 있다고 판단된다.

The concept of carsharing involves sharing a small number of reserved cars to be used individually by a larger number of people as required. This study examines the operating parameters of one-way carsharing systems in order to determine the appropriate operating conditions that minimizes the lost sales rate. Five operating parameters are tested in this study: the number of stations, the average number of vehicles per station, the rate of one-way trip, the average number of staffs per station, and the relocation policy. The performance of round-trip carsharing systems is also compared to that of one-way carsharing systems. A simulation model is developed and simulations are performed to determine the appropriate combination of operating parameter and levels. The simulation results show that the average number of vehicles per station is the most critical parameter. Other key findings obtained from this research are as follows. First, applying the appropriate relocation policy to one-way carsharing systems can allow more customers to rent vehicles than the traditional round-trip carsharing systems. Second, the appropriate relocation policy should be selected based on the average number of vehicles per station in order to minimize the lost sales rate. Third, the number of stations does not affect the lost sales rate. This study findings will provide tools to understand impact of the carsharing system parameters on the efficiency of the carsharing operations.

Cross docking is a warehouse management concept in which items delivered to a distribution facility by inbound trucks are immediately sorted out and reorganized based on customer demands and are routed and loaded into outbound trucks for delivery to customers without actually being held in inventory in the distribution facility. In this research, the design of distribution facility for cross docking systems was studied. The objective of this research is to find the minimum number of receiving docks and shipping docks, respectively, in order to meet the daily demand of the distribution center. Two solution approaches are employed in modeling and solving the problem The first approach is mathematical modeling and the second approach is a simulation. The logic developed in the simulation model is expected to apply to the real world situation.

  Recently, the increasing trend for the transshipment traffic of Busan port in Korea is slowing down because of the extensive development plan of domestic ports in china. For solving this problem, Korea is going on the project for preoccupying the transs

The objective of this study is to analyze how much economic impact is changed before and after the designation as biosphere reserve area by tourism. The subject region of this study is Hajun mud village which is the famous place to experience eco-tourism located in Gochang-gun. This region has been designated as a UNESCO biosphere reserve in 2013. In order to estimate the regional economic effects, we employ a regional input-output model which is derived by a RAS method. Using regional input-output model analysis, this study estimates direct and indirect effects of tourist’s expenditure on experience of Hajun mud village in Gochang-gun across associated industries between 2011 and 2013. Also, we tried to calculate a net increase in number of visitors in 2013 with considering the trend of tourist in this region and estimate a net regional economic effect after the designation as a biosphere reserve area by tourism. The empirical result could be summarized as follows : (1) the change of production inducement effect shows that regional outputs is approximately increased by 386 million won between 2011 and 2013, (2) regional value-added is increased by 223 million won during the same period, (3) regional employment is approximately increased by 20 according to the labor inducement effects of expanding tourist’s expenditure in biosphere reserve area. (4) social service industry has highly been benefited by increase in experience tourist after Gochang-gun was designated as the biosphere reserve area. (5) estimated net increase in number of visitors after the designation as biosphere reserve area is about 37,364 which is 93.4% of the absolute increase in number of visitors amounting 40,011 between 2011 and 2013.