• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.585-585
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• 2015

가능최대홍수량(PMF)이란 가능최대강수량(PMP)을 입력으로 한 강우-유출해석의 결과를 말한다. 즉, 대상유역의 가능최대강수량을 산정하여 시 공간분포를 고려한 가능최대호우를 결정한 후, 강우-유출관계를 이용하여 최대홍수량을 산정하는 것이다. 이러한 과정을 거쳐 산정된 가능최대홍수량은 실무에서 댐 설계를 위해 사용된다. 본 연구에서는 가능최대홍수량을 설계홍수량으로 채택하고 있는 국외의 강우-유출 해석 방법에 대해 조사하고, 국내의 경우와 비교하였다. 그 결과, 평균 개념의 Clark 단위도를 사용할 경우 홍수를 과소평가할 우려가 있으며, 큰 홍수사상을 모의하기 위해서는 최대 개념을 적용한 단위도의 도입이 필요하다고 판단하였다. 최대 개념을 적용한 기존의 연구들 또한 관측 기록년 이후에 기록된 수문량에 비해 월등히 큰 수문량이 발생할 때, 과거의 자료를 토대로 추정한 PMF의 신뢰성이 급격히 저감된다는 한계가 존재하므로, 국내 모든 유역에 적용할 수 있는 일관성 있는 단위도가 필요하다. 따라서, 본 연구에서는 특성 속도를 고려하여 빈도해석을 실시하였고, 이를 이용하여 최대 개념을 고려한 유역의 특성속도에 따른 Clark 단위도를 제시하였다. 아울러 단위도의 변화에 따른 가능최대홍수량의 변화를 검토하여, 단위도의 적용성을 평가하였다.

• Proceedings of the Acoustical Society of Korea Conference
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• autumn
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• pp.183-186
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• 2000

본 논문에서는 인식이 진행되는 동안 탐색 공간을 효과적으로 줄임으로써 음성인식의 고속화를 달성할 수 있는 새로운 프레임 단위 적응 프루닝 알고리즘을 제안하고 실험을 통하여 그 유효성을 확인하였다. 이것은 앞 프레임과 뒤 프레임 사이의 최대확률은 높은 상관성을 가지므로 프루닝 문턱치를 앞 프레임의 최대 확률로부터 효과적으로 구할 수 있다는 사실에 근거를 두고있다. 이 방법에서는 앞 프레임의 최대 우도 확률과 후보 확률들의 조합으로 현재 프레임의 프루닝 문턱치를 갱신함으로써 현재 프레임의 문턱치를 인식 과정 중에 얻을 수 있기 때문에, 인식 태스크가 바뀌어도 문턱치를 구하기 위한 사전 실험을 수행할 필요가 없게 된다. 또한, 프레임 단위로 적응적으로 얻어진 문턱치는 다른 환경 하에서도 인식 속도의 향상을 가져올 수 있게 된다. 제안된 알고리즘의 유효성을 확인하여 위하여 한국어 주소 인식 시스템에 적용하였다. 본 시스템은 48개의 유사음소단위(PLUs)를 인식의 기본단위로 하고, 적응알고리즘으로는 최대사후확률추정법((MAP: Maximum A Posteriori Probability Estimation)을, 인식 알고리즘으로는 OPDP(One Pass Dynamic Programming)법을 이용하였다 남성화자 3인이 25개의 연결 주소명을 대상으로 인식 실험을 수행한 결과, 제안된 프레임단위 적응프루닝 문턱치를 적용한 경우를 기존의 고정 프루닝 문턱치와 가변 프루닝 문턱치를 적용한 경우와 비교하였을 때 인식률의 변화 없이 탐색공간이 상대적으로 각각 $14.4\%와 $9.14\%가 감소되어 제안된 프레임 단위 적응 프루닝 알고리즘의 유효성을 확인할 수 있었다. 시,공간적 분포 특성이 구체적으로 규명되면 보다 정확한 음장변화 추정이 이뤄져야 할 것으로 보인다. 또한 내부파와 음파의 상대적인 진행 방향에 따라 음장변화가 크게 다를 것이 예상되므로 이를 규명하기 위해서는 궁극적으로 3차원적인 음장분포 연구가 필요하다. 음향센서를 해저면에 매설할 경우 수충의 수온변화와 센서 주변의 수온변화 사이에는 어느 정도의 시간지연이 존재하게 되므로 이에 대한 영향을 규명하는 것도 센서의 성능예측을 위해서 필요하리라 사료된다.가지는 심부 가스의 개발 성공률을 증가시키기 위하여 심부 가스가 존재하는 지역의 지질학적 부존 환경 및 조성상의 특성과 생산시 소요되는 생산비용을 심도에 따라 분석하고 생산에 수반되는 기술적 문제점들을 정리하였으며 마지막으로 향후 요구되는 연구 분야들을 제시하였다. 또한 참고로 현재 심부 가스의 경우 미국이 연구 개발 측면에서 가장 활발한 활동을 전개하고 있으며 그 결과 다수의 신뢰성 있는 자료들을 확보하고 있으므로 본 논문은 USGS와 Gas Research Institute(GRI)에서 제시한 자료에 근거하였다.ऀĀ耀Ā삱?⨀؀Ā Ā?⨀ጀĀ耀Ā?돀ꢘ?⨀硩?⨀ႎ?⨀?⨀넆돐쁖잖⨀쁖잖⨀／ࠐ?⨀焆덐瀆倆Āⶇ퍟ⶇ퍟ĀĀĀĀ磀鲕좗?⨀肤?⨀⁅Ⴅ?⨀쀃잖⨀䣙熸ጁ↏?⨀

• Journal of The Korea Institute of Healthcare Architecture
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• v.18 no.3
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• pp.19-28
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• 2012

The purpose of this research is to suggest design direction about common space of small sized residential units for elderly housing in order to construct desirable residential environment. This research examines spatial composition and the residents' behaviors in three different types of residential units at intervals of five minutes from 9:00 a.m. to 19:00 p.m.; and analyzes the characteristics of spatial use. The following is the result. The using rate of common space is influenced by the atmosphere of residential units more than healthy condition of the elderly; furthermore, the frequency of usage is also increasing highly as mush as forming the lively atmosphere. In order to form the animated residential environment, it is necessary to provide to various activities, such as cooking, eating, watching TV, leisure, hobby, rest, etc; and the space must plan encouraging relationship with other people. Moreover, it is required to consider to each of personal characteristics ingeniously, and manage to programs extending their durability in common space of elderly housing.

• The Korean Journal of Applied Statistics
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• v.9 no.2
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• pp.145-159
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• 1996

We propose an adaptive searching method using some spatial relations among sample points to estimate the interesting area in the spatial population. The fundamental idea is to observe the neighboring sample points when a sample point is satified with some condition of an adaptive searching observation. For obseving the sample points with this method to estimate the area the sample size is decreased. From this result, we may expect to reduce the cost and time consuming in observation the sample points and to draw the shape of the interesting area without prior information of an spatial population. Some analytical simulation results are also presented.

• Journal of Korean Society of Transportation
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• v.25 no.2 s.95
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• pp.145-155
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• 2007

The objectives of this study aye to develop an on-line departure time-based travel time estimation method and to determine an optimal link length for the estimation. This study developed a link-based rolling horizon logic as the travel time estimation method. In order to determine an optimal link length, the information error of the travel time provision from the user's perspective was defined and employed as a selection criterion. It was found that, when the travel time aggregation size was set as five minutes, a link length of four kilometers gave the most accurate result.

• Journal of Environmental Impact Assessment
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• v.29 no.2
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• pp.122-131
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• 2020

Marine Spatial Planning is an emerging strategy that promoting sustainable development at coastal and marine areas based on the concept of ecosystem services. Regarding its methodology, usage rate of resources and its impact should be considered in the process of spatial planning. Particularly, considering the rapid increase of coastal tourism, visitation pattern is required to be identified across coastal areas. However, actions to quantify visitation pattern have been limited due to its required high cost and labor for conducting extensive field-study. In this regard, this study aimed to pose the usage of social big data in Marine Spatial Planning to identify spatial visitation density and critical management zone throughout coastal areas. We suggested the usage of GPS information from Flickr and Twitter, and evaluated the critical management zone by applying spatial statistics and density analysis. This study's results clearly showed the coastal areas having relatively high visitors in the southern sea of South Korea. Applied Flickr and Twitter information showed high correlation with field data, when proxy excluding over-estimation was applied and appropriate grid-scale was identified in assessment approach. Overall, this study offers insights to use social big data in Marine Spatial Planning for reflecting size and usage rate of coastal tourism, which can be used to designate conservation area and critical zones forintensive management to promote constant supply of cultural services.

• Journal of Environmental Impact Assessment
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• v.33 no.3
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• pp.116-130
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• 2024

Historically, humans settled in waterside areas that provided abundant resources and water resources. Afterwards, as industrialization progressed, the city's waterfront contributed to the development of the city through water resources, transportation, and maritime trade. In response to changes in industrial structure, over the past few decades, the city's waterfront has transitioned from an industrial and port-oriented function to a public space function. And from the perspective of urban regeneration, research and design on sustainable waterfront space development are being promoted around the world. However, areas near waterfronts are geographically vulnerable to the direct impact of natural disasters caused by climate change, such as sea levelrise and floods. Therefore, it is essential to establish a systematic management plan to ensure the safety of citizens and publicness. Since the 1990s, New York City in the United States has been establishing a city-level waterfront space management plan to ensure the public nature, safety, and equity of waterfront spaces. On the other hand, in South Korea, there is a lack of research on city-level waterfront management plans. Accordingly, this study sought to find implications and policy improvement measures for domestic waterfront space planning by examining the development process and major policies of New York City's waterfront comprehensive plan.

• Journal of the Economic Geographical Society of Korea
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• v.8 no.1
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• pp.17-29
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• 2005

This study has attempted to analyze the spatial structure of industrial agglomerations with elaborated spatial econometric techniques. First of all, spatial patterns and structures of industrial agglomerations in Korea show a multi-polar spatial pattern of industrial agglomeration, Major industries from industrial agglomerations in the Seoul Metropolitan Area, part of the Chungcheong Area and Dongnam Area. Second, as some industrial agglomerations show an agglomerative pattern beyond a regionally based-administrative jurisdiction, the effects of agglomeration seem to be produced across regionally based-administrative jurisdictions. Finally, it can be considered that industrial agglomerations have generally been produced by spatial divisions of labor in which the functions of conception and execution are separated from each other. According to this results, in designing regional innovation systems, their spatial coverage should draw upon an extended region with a few adjacent provinces, and there is a need to form networked clusters in order to sufficiently capitalize upon the spatial spillovers of agglomerations.

• Spatial Information Research
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• v.14 no.3 s.38
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• pp.321-334
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• 2006

3D spatial data are of increasing interest in landscape analysis, urban planning and map services based on Web, because of its reality. But the amount of 3D spatial data are very large in comparison with 2D spatial data. Therefore it is necessary to have a efficient methods to transfer and visualize 3D spatial data. The concept of Level of Detail in Computer Graphics is effective. This paper briefly presents two LOD data models of data transmission based on the spatial data model of international standards. First, it is separated LOD model that gives a LOD level to object. Second is Selective LOD model that gives a LOD level to object's element. We compared the efficiency of 3D data transmission based on two LOD model.

• Spatial Information Research
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• v.19 no.2
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• pp.37-46
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• 2011

Recently in the field of GIS(Geographic Information System), data integration from various sources has become an important topic in order to use spatial data effectively. In general, the integration of spatial data is accomplished by navigating corresponding space object and combining the information interacting with each object. But it is very difficult to navigate an object which has correspondence with one in another dataset. Many matching methods have been studied for navigating spatial object. The purpose of this paper is development of method for searching correspondent spatial object considering local position error which is remained even after coordinate transform ation when two different building data sets integrated. To achieve this goal, we performed coordinate transformation and overlapped two data sets and generated blocks which have similar position error. We matched building objects within each block using similarity and ICP algorithm. Finally, we tested this method in the aspect of applicability.