• Proceedings of the Korea Water Resources Association Conference
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• 2018.05a
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• pp.30-30
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• 2018

Research on mapping levees is an important task for assessing levee stability. The drone imagery acquired in river basins is useful for generating real-time levee maps. This research proposes a robust methodology for mapping levees in river basins using the drone imagery. In the first step, the multiple imagery taken in the test bed was acquired by the drone. Then, the orthorectified image and DEM (Digital Elevation Model) were generated by the photogrammetry and image processing process. Finally, the significant features on levee surfaces such as levee tops, levee lines, levee slopes, eroded areas were detected from the generated DEM and orthorectified image by manual labors and automatic methods. In future research, the automatic procedure for identifying the significant levee features from the drone imagery would be proposed.

• Proceedings of the Korea Water Resources Association Conference
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• 2023.05a
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• pp.501-501
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• 2023

하천에서의 여가활동에 대한 수요가 증가함에 따라 각종 친수활동에 대한 안전도 평가가 사고예방을 위해 중요해지고 있다. 친수 활동의 안전은 수리 및 수질 인자에 크게 영향을 받지만 기존 친수지수는 수질 인자에만 집중되어 개발되어왔다. 하지만, 세일링, 패들링, 저동력보트 등 입수형 친수활동의 경우, 다양한 수리 현상에 큰 영향을 받기 때문에 유속, 흐름 방향, 수심 및 수면 폭 등의 수리인자를 친수지수에 반영할 필요가 있다. 또한, 친수활동에 위험이 되는 수리적 조건은 유량 조건과 하천의 평면적 공간에 따라 상이하게 발생하기에 이를 공간적으로 평가하는 것 역시 필요한 실정이다. 본 연구에서는 수리학적 요소를 기반으로 하천 친수 활동에 대한 안전도를 평가하기 위해 공간적으로 친수활동의 안정성을 평가할 수 있는 SRRI (Spatial River Recreation Index)를 제안하였다. SRRI의 개발을 위해 1단계에서는 다양한 유량 조건에서 EFDC 동수역학모형을 이용하여 수리 인자들의 공간적 분포를 재현한 후, 2단계에서는 퍼지합성법 (FSE)를 적용하여 수리인자의 모든 소속도와 가중치를 종합하여 하천 지점별 하천친수지수를 산정하였다. 개발한 SRRI를 낙동강-금호강 합류부에 적용한 결과, 유량 및 지형 조건에 따라 각 수리인자가 친수활동 안전성에 미치는 영향이 공간적으로 매우 상이하게 나타났다. 유향(흐름 방향)은 합류지점 부근에서 친수활동의 위험성을 크게 증가시키는 반면, 사행구간에서는 수심이 중요한 요인으로 나타났다. 고유량 조건에서는 유속이 세일링 및 패들링에서 가장 큰 영향을 미치는 요소로 작용하였다. 특히 세일링은 유량 변화에 민감하여 고유량시에는 주흐름부와 합류부 부근을 제외하고 일부 공간에서만 안전하게 이용이 가능한 것으로 나타났다. 반면 무동력 및 저동력보트는 유량 변화에 덜 민감하여 고유량 조건에서도 부분적으로 허용될 수 있었지만 사행구간의 고수심부에서는 위험 등급으로 권고되었다. 이러한 결과를 바탕으로 SRRI는 다양한 수리학적 조건을 기반으로 공간적 안전정보를 제공함으로써 많은 이용자들이 하천에서 보다 안전한 친수활동을 즐기는 데에 기여할 수 있을 것으로 판단된다.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.855-861
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• 2009

This paper presents the concept of dynamically reconfigurable space by introducing smart building components. Thanks to the advances in ubiquitous computing and ITC technology, we are able to expect, in the near future, the aspects of future buildings which may transform their appearance and states to perform specific functions. In other words, it is certain that the building space will actively reconfigure itself to accommodate user's needs once we acquire proper technologies. Based on the assumption that building components may not be transformed through the magical process, but change its physical states (e.g. transparency, illumination, display contents, etc.) and functions of embedded devices (e.g. audio, actuators, sensors, etc.), we can envision a dynamically reconfigurable smart space. In order to conceptualize such spaces, critical surveys have been conducted on current works of leading architects. When the room needs to be used as a specific function room, the components need to change theirs states or to behave in a certain manner to create an optimum environment. Our model defines the relationships and elements to describe the mechanism of reconfigurable space. We expect this model provides a conceptual guideline for developing a smart building components based on spatial service scenarios. Therefore, a future smart spaces implemented by integrating various technologies are not designed in deterministic manner, so that spatial functions are expanded without constrained by physical existence.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.183-188
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• 2008

본 연구의 주요 목적은 기존의 연구에서 구축된 배타적 경제수역(EEZ) 해양자원정보시스템(MRIS)을 근간으로 다양한 해양자원의 정보를 효율적으로 표출하고 EEZ 관련 의사지원과 정책결정을 위한 GIS기반의 EEZ 정책결정지원시스템을 개발에 있다. 이를 위하여 기존에 구축된 MRIS를 이용하여 분산되어 관리되던 기존의 데이터와 매년 탐사 과정을 거쳐 추가되는 데이터의 관리를 위한 표준화를 수립하고 관리방안을 확정하였다. 또한, 기존에 개발된 다양한 해양데이터의 표출방안을 이용하여 EEZ 경계획정 협상 및 정책 결정에 있어 실질적 판단근거가 되는 EEZ에 대한 법령과 각국의 정책 및 EEZ 경계획정 사례 등을 데이터베이스화하였다. 나아가 GIS를 이용하여 표출된 공간데이터를 다양한 공간 검색과 공간분석 기능을 이용하여 분석함으로써 과학적인 방법으로 EEZ에 대한 중요정책 결정에도 활용하도록 하였다. 본 시스템을 이용하여 향후 EEZ 내 자원분포 및 지 역 별 경제성 비교와 쟁점지역에 대한 정확한 분석이 가능함에 따라 국가 간 협상에서 우리나라에 보다 유리한 협상결과를 도출하는데 기여가 클 것으로 판단된다. 아울러 주변국과 경계획정에 있어 유리한 협상 결과를 도출하기 위한 제반 정보의 제공과 함께 보다 효율적인 정책 수립을 위한 다양한 의사결정의 지원이 가능할 것으로 사료된다.

• Journal of Information Management
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• v.43 no.1
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• pp.23-39
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• 2012

This study is to suggest IC(Information Commons) as an alternative to solve the digital divide in the Information Age. The value of IC is based on the OA(Open Acess) and the essential elements of democracy. On the basis of previous studies, physical space was divided into six parts to realize the value of the IC. This study investigated and analyzed the use patterns and made several suggestions for applying IC in the Public Library.

• Journal of the Korean Association of Geographic Information Studies
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• v.21 no.4
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• pp.132-144
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• 2018

3D Geo-spatial information models have been widely used in the field of Civil Engineering, Medical, Computer Graphics, Urban Management and many other. Especially, in surveying and geo-spatial field, the demand for high quality 3D geospatial information and indoor spatial information is so highly increasing. However, it is so difficult to provide a low-cost and high efficiency service to the field which demand the highest quality of 3D model, because pre-constructed spatial data are composed of different formats and storage structures according to the application purpose of each institutes. In fact, the techniques to construct a high applicable 3D geo-spatial model is very expensive to collect and analyze geo-spatial data, but most demanders of 3D geo-spatial model never want to pay the high-cost to that. This study, therefore, suggest the effective way to construct 3D geo-spatial model with low-cost of construction. In general, the effective way to reduce the cost of constructing 3D geo-spatial model as presented in previous studies is to combine the raw data obtained from point cloud observatory and UAV imagery, however this method has some limitation of usage from difficulties to approve the use of raw data because of those have been managed separately by various institutes. To solve this problem, we developed the linking & management system for unifying a high-Resolution raw geo-spatial data based on the point cloud DB and apply this system to extract the basic database from 3D geo-spatial mode for the road database registration. As a result of this study, it can be provided six contents of main entries for road registration by applying the developed system based on the point cloud DB.

• Journal of the Korean Geographical Society
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• v.50 no.6
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• pp.641-657
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• 2015

Nowadays research collaboration between the business, academic and governmental community is high on the policy agenda in all over the world, especially with regard to science-based technological innovation. The aim of this paper is to explore some of the changing spatial patterns of research collaboration by carrying out bibliometric analysis of co-authorship publications in major international and scientific journals that are jointly realized by Korean scientists and researchers in the seven science-based technologies for the period 2002~2012. Using the co-authored papers as an indicator of research collaboration with the institutional address of each co-authoring researcher and the geographic location of their affiliation, this paper describes some trends and patterns of domestic and international research collaborations. Identifying a rapid increase in the volume of co-authored papers and the trend towards multiple authorships over the last decade, the paper finds collaborative scientific research to be geographically dispersed at the different spatial scales. Despite the rising geographic dispersion of research collaboration within the nation, this paper finds that there were empirical evidences for the presence of localized knowledge production processes at regional level, and biased knowledge flows towards core areas with advanced research resources.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.27-39
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• 2023

Detecting greenhouses from the remote sensing datasets is useful in identifying the illegal agricultural facilities and predicting the agricultural output of the greenhouses. This research proposed a methodology for automatically detecting greenhouses from a given Planetscope satellite imagery acquired in the areas of Gimje City using the deep learning technique through a series of steps. First, multiple training images with a fixed size that contain the greenhouse features were generated from the five training Planetscope satellite imagery. Next, the YOLO(You Only Look Once) model was trained using the generated training images. Finally, the greenhouse features were detected from the input Planetscope satellite image. Statistical results showed that the 76.4% of the greenhouse features were detected from the input Planetscope satellite imagery by using the trained YOLO model. In future research, the high-resolution satellite imagery with a spatial resolution less than 1m should be used to detect more greenhouse features.

• Korean Journal of Construction Engineering and Management
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• v.25 no.1
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• pp.50-61
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• 2024

The market for compact houses is growing due to the demand for floor plans prioritizing user needs. However, clients often have difficulty communicating their spatial requirements to professionals including architects because they lack the means to provide evidence, such as spatial configurations or cost estimates. This research aims to create a framework that can translate sketched data-driven spatial requirements into 3D building components in BIM models to facilitate spatial understanding and provide building performance analysis to aid in budgeting in the early design phase. The research process includes developing a process model, implementing, and validating the framework. The process model describes the data flow within the framework and identifies the required functionality. Implementation involves creating systems and user interfaces to integrate various systems. The validation verifies that the framework can automatically convert sketched space requirements into walls, floors, and roofs in a BIM model. The framework can also automatically calculate material and energy costs based on the BIM model. The developed frame enables clients to efficiently create 3D building components based on the sketched data and facilitates users to understand the space and analyze the building performance through the created BIM models.

• Journal of Korea Spatial Information System Society
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• v.11 no.3
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• pp.40-45
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• 2009

In September, 2008, the government has amended the National Territory Planning Act" by adding criteria to designate the Impact Fee Zone on the basis of the increase rate of the development permit. Since the permits are issued to scattered parcels on the individual basis, however, it renders significant difficulties in accurately figuring out the finite local areas that exceed such legal criteria. This study, in this context, tries to join the development permit time-series data with the Korea Land Information System (KLIS) so that, with the aid of the landform layer and existing infrastructure layer, it could pinpoint the local area where the development activities are concentrating. Taking a sector in Yangpyong County as the case, the study practically demonstrates as to how the designation process is geospatially processed.