• The Journal of Sustainable Design and Educational Environment Research
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• v.15 no.1
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• pp.40-48
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• 2016

School appropriate scale refers to the size of the school to minimize students' educational deficits and ensure an appropriate level of students, the number of classes, class size, etc., and maximize educational effects. Difficult set of absolute standards appropriate scale school, contemporary social situations and educational effects, and seek a comprehensive and reasonable direction, considering this is required. School appropriate scale it is preferable to consider the effect of conditions in areas such as education, curriculum, but it is common to set the range in terms of school operational effectiveness, and efficiency of education funding, school environment. So the concept of the appropriate scale including the school's status changes associated with school size, is seeking a new direction is needed so that the school environment, etc. are considered.

• Journal of the Economic Geographical Society of Korea
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• v.11 no.3
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• pp.319-333
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• 2008

Government R&D policies generate diverse intended and unintended effects including innovator-specific and spatial effects. The Korean government has promoted R&D policies throughout the industrializing period, resulting in R&D networks focused on government research institutes geographically concentrated in the Capital region and Daedeok. This research aims to review the development of the Korean national R&D projects and analyze the recent composition of participants and spatial effects of the Korean national R&D projects. The results show that, in terms of the participants, the R&D networks generated from the Korean national R&D projects have been diversified from dominance of the government research institutes to strategic collaboration between the Korean private firms, universities, and government research institutes. Spatially, the R&D networks are not regionalized, and many private firms in most of the regions have nationwide R&D networks or still rely on the R&D networks in the Capital region.

• Journal of the Korean association of regional geographers
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• v.15 no.1
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• pp.99-114
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• 2009

The purpose of this paper is to identify the authour of Baekdusanhaenggi, Yun Hwasu's understanding of place and the types of geographical knowledge shown in the book. He regarded ideologically the place as a paradise or a sacred land on the base of empirical understanding of it. Geographical knowledge in Baekdusanhaenggi was expressed as two main types; geographical content and geographical concept. The content of geographical knowledge consist of physical geography such as climates, vegetations, geographical features and human landscapes such as settlement landscapes, cultural landscapes. The geographical concept consist of locations, distances, regions.

• Journal of the Korean association of regional geographers
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• v.14 no.2
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• pp.114-125
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• 2008

Colored dissolved organic matter(CDOM) is an important component of ocean color that can be used as an invaluable tool in water quality and ocean color studies. With the largest source of coastal CDOM appearing to be from freshwater discharge into the ocean, coastal predictive models will do much to refine our knowledge about major processes that control CDOM distributions in coastal waters and provide a better insight into the global carbon cycle. This study aims at developing a GIS-based watershed-scale predictive model of CDOM distributions in Neponset river watersheds that can be used to appraise our understanding of CDOM sources and distributions in coastal waters and predict the response of CDOM concentration to changes in land use patterns. Weighting factors are developed for CDOM freshwater sources after extensive groundtruthing from various landuse types in the watershed. This model makes use of a publicly available DEM(Digital elevation model) as the base data for analysis. Stream networks, discharge, and land use data are used from public repositories while sub- watershed delineation, pour-points, and land use parcels are generated using Spatial Analysis of ArcGIS 9.2 to estimate the CDOM loading from various sources to the lower tributaries of rivers. The Neponset Watershed in eastern Massachusetts is selected as the site for development of the model.

• Korean Journal of Remote Sensing
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• v.25 no.2
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• pp.193-203
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• 2009

Snow cover is one of the important parameters since it determines surface energy balance and its variation. To classify snow and cloud from satellite data is very important process when inferring land surface information. Generally, misclassified cloud and snow pixel can lead directly to error factor for retrieval of surface products from satellite data. Therefore, in this study, we perform algorithm for detecting snow cover area with remote sensing data. We just utilize visible reflectance, and infrared channels rather than using NDSI (Normalized Difference Snow Index) which is one of optimized methods to detect snow cover. Because COMS MI (Meteorological Imager) channels doesn't include near infra-red, which is used to produce NDSI. Detecting snow cover with visible channel is well performed over clear sky area, but it is difficult to discriminate snow cover from mixed cloudy pixels. To improve those detecting abilities, brightness temperature difference (BTD) between 11 and 3.7 is used for snow detection. BTD method shows improved results than using only visible channel.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.227-234
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• 2019

The purpose of this study is to present a block type smart classroom model for comprehensive supply of educational contents, classroom environment and ICT technology in African countries where educational infrastructure is weak. It will provide a contextual solution that integrates learning management, power management, and classroom environment management systems, and will be a convergence model that can optimize economic and non-economic conditions for different African countries. It can be expected to enhance utilization as it is a differentiated model from existing classrooms with a single container, as well as independent research and development centered on services, content, and solutions. Through this integrated research process, we can overcome the spatial and functional limitations appearing in single container classrooms and build a flexible space for advanced e-learning technology. The depth and scope of the follow-up study can be carried by investigating the performance and models that are in line with the educational and infrastructure conditions of the various regions.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.329-329
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• 2021

우리나라의 농촌유역은 일반적으로 상류의 농업용저수지와 하류의 배수장을 통해 홍수조절이 이루어지며, 각 농업수리구조물의 운영이 유역의 홍수 및 침수 발생에 큰 영향을 끼친다. 농촌유역의 홍수 대응 능력을 향상시키기 위해서는 농업수리구조물의 통합적 운영이 필요하나 현실에서 이를 시험 운영하기 위해서는 시간적·경제적으로 한계가 있다. 따라서 농촌유역 내 농업수리구조물을 연계한 통합 해석 시스템을 활용하여 다양한 구조물 운영 시나리오에 따른 홍수 위험을 예측하고 효율적인 대응 방안을 마련할 필요가 있다. 본 연구에서는 농업수리구조물을 연계한 홍수·침수 모의 시스템을 구축하기 위하여, 농촌유역에서 홍수·침수 모의를 위한 요소별 모듈을 구성하고, 각 모듈의 연계 기술을 개발하였다. 홍수·침수 해석 모듈은 농업용저수지 상류 유역에서부터 하류 하천 및 농경지까지 통합적으로 분석할 수 있도록 강우 분석 모듈, 강우-유출 모듈, 저수지 운영 모듈, 하천 수위 모듈, 농경지 배수 모듈의 5가지로 구성하였으며, 데이터베이스 모듈을 통해 기초자료를 저장하고 모듈 간의 입출력 과정을 처리하였다. 강우 분석, 강우-유출, 농경지 배수 모듈은 python 코드를 기반으로 자체적으로 구축하였으며, 기존의 모형 (FARD, HEC-HMS, GATE2018)들과 비교한 결과 거의 동일한 모의 결과를 나타냈다. 저수지 운영 모듈과 하천 수위 모듈은 각각 미 공병단의 HEC-5, HEC-RAS 모형을 CLI (Command Line Interface) 방식으로 외부 구동하도록 구성하였다. 전체 모듈 간의 연계에는 python 라이브러리인 Dask를 적용하여 대량의 데이터에 대한 병렬 처리 구조를 갖춤으로써 다양한 기상자료와 운영 시나리오에 따른 반복 작업을 효율적으로 수행하도록 구성하였다. 본 연구에서 개발한 홍수·침수 모의 요소별 모듈과 연계 기술을 기반으로, 농업수리구조물의 연계 운영을 통합적으로 모의함으로써 홍수 대비를 위한 효율적인 구조물 운영안을 도출할 수 있을 것으로 기대된다.

• Journal of Korea Port Economic Association
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• v.40 no.1
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• pp.61-70
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• 2024

Despite the rapid expansion and diversification of the global ship repair and shipbuilding market, the domestic ship repair and shipbuilding industry is losing competitiveness due to a lack of infrastructure compared to its high technology level, concentration of new markets, aging technology personnel, lack of IT systems, and small businesses. Although attempts have been made to develop information systems at a very low level compared to other industries, there are few successful cases. Therefore, the purpose of this study is to understand the necessity of strategic integration and organizational integration from the perspective of informatization in the ship repair and shipbuilding industry through a survey of companies operating in Busan. After that, through face-to-face interviews with major repair shipyard companies in Busan, the direction of the development of the information system of the ship repair and shipbuilding industry was derived. The results of this study are expected to enhance the need for digital conversion of the ship repair and shipbuilding industry in the future and provide a significant direction for the establishment and application process of information systems.

• The Journal of Engineering Geology
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• v.6 no.1
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• pp.1-13
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• 1996

The fracture transmissivity($T_f$) is the most important parameter of fracture in assessing groundwater flow in fractured rock masses by using the DFN(Discrete Fracture Network) modeling. $T_f$, the most sensitive parameter m DFN modeling, is dependent upon aperture, size and filling characteristics of each fracture set. In the field test, the accuracy of $T_f$ can be increased with Borehole Acoustic Scanning (Televiewer) and Fixed Interval Length(FIL) test in constant head. $T_f$ values measured from FIL test was modified and estimated by each fracture set on the basis of the Cubic Law and the information of aperture and filling characteristics obtained from Televiewer. The modified $T_f$ results in the increase of confidence and reliability of modeling results including the amount of tunnel inflow.And, this approach would reduce the uncertaintity of the assessment for groundwater flow in fractured rock masses using the DFN modeling.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.9 no.5
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• pp.478-495
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• 2016

The existing city planning was performed by internal few decision-maker, but the information that an individual could contact with through the evolution of the ICT technology increased in the smart city, and a channel diversified and came to be able to participate in a decision making process by various methods. I show that it is in the collaborative planning process to come to a mutual understanding with residents directly or indirectly if utilize big data in a process of the safe community planning of the smart city. Therefore, I compare the utilization contents between data of Matsubara-shi,Japan and data of certification city of Korea which received the certification of the WHO international safe community. In the area where this study prepares for the approval of the international safe community, it wants you to use it though you utilize the data as the supporting role of the residents participation plan.