• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2006년도 춘계학술대회 논문집
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• pp.228-231
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• 2006

유출계수(Runoff Curve Number, CN)란 강수량으로부터 대상유역의 유출량과 우수 잠재능(stormwater potential) 평가에 이용하는 수문학 변수로, 미국 자연자원 보존국(Natural Resources Conservation Service; NRCS)이 제안한 방법이다. 유출계수를 평가하기 위해서는 토지피복, 토양형, 토양 습윤 조건에 대한 정보를 조합하여 분석해야 한다. 본 연구의 목적은 미국 North Carolina의 Raleigh와 Cary시를 관통하는 Walnut Creek 유역 서부지역의 토지 피복도를 제작하여, 이 유역의 유출계수를 산정하는 것이다. 이를 위해서, 첫째 위의 불투수면 레이어와 정사항공사진을 기초자료로, ArcGIS와 Feature Analyst를 이용하여 서부 Walnut Creek 유역의 토지피복도를 제작하였다. 둘째, 제작된 토지 피복도와 본 유역의 수문학적 토양 분류체계도(Hydrologic Soil Group Map)를 중첩하여 이 유역의 유출계수도를 제작하였다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 춘계학술대회논문집
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• pp.1182-1186
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• 2003

Noise map is becoming an increasingly important tool supporting noise policy. In order to main am a quiet environment of urban areas, noise map was developed by using GIS technique which combines geographic and noise informations with a database management system. By evaluating various methods of the spatial anal: sis, it was concluded that the inverse distance weighted method gave the best results and was applied to develope the noise maps of road noise.

• 대한지리학회지
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• 제49권3호
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• pp.438-455
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• 2014

본 논문의 연구 목적은 대동여지도의 평면기하 정확성에 대한 GIS적 접근을 통해 대동여지도의 도법과 축척에 대한 하나의 해답을 제시하는 것이다. MapAnalyst를 활용한 분석은 크게 전역적 분석과 국지적 분석으로 나뉘어 수행되었다. 전역적 분석의 주요 결과는 다음과 같다. 첫째, 대동여지도의 전역적 축척은 대략1:158,000~1:162,000 정도인 것으로 분석되었다. 둘째, 회전각은 $2{\sim}3^{\circ}$ 정도인 것으로 드러났는데, 정거원통도법이 가장 작은 회전 왜곡도를 보여주었다. 셋째, 위치 정확도의 측면에서 대동여지도의 도법은 정형원통 도법에 가장 근접한 것으로 드러났다. 정형원통 도법과 정거방위 도법에 대해 국지적 분석이 실시되었는데, 주요 결과는 다음과 같다. 첫째, 전위 벡터와 왜곡 그리드 지도를 살펴본 결과, 가장 왜곡이 심한 곳은 북부 국경 지역으로 나타났다. 둘째, 축척 등치선을 살펴본 결과, 서울을 중심으로 한 중부 지역에서 1:170,000~1:175,000 정도의 축척이 나타나고, 그것으로부터 남북 방향으로 멀어질수록 보다 대축척으로 표현되며, 동서 말단부에서는 보다 소축척으로 표현되어 있다. 셋째, 회전 등치선을 살펴본 결과, 중강진을 중심으로 서부는 서쪽으로 심대하게 회전해 있고, 동부는 동쪽으로 심대하게 회전해 있는 것으로 드러났다. 시론적 연구의 한계를 벗어나기 위해서는 통제 지점 수의 증대, 투영법에 대한 보다 정확한 추정, 국지적 분석을 위한 방법론적 진보 등이 요구된다.

• Nuclear Engineering and Technology
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• 제52권8호
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• pp.1807-1816
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• 2020

In this work, a Gaussian Process (Kriging) approach is proposed to provide efficient dose mapping for complex radiation fields using limited number of responses. Given a few response measurements (or simulation data points), the proposed approach can help the analyst in completing a map of the radiation dose field with a 95% confidence interval, efficiently. Two case studies are used to validate the proposed approach. The First case study is based on experimental dose measurements to build the dose map in a radiation field induced by a D-D neutron generator. The second, is a simulation case study where the proposed approach is used to mimic Monte Carlo dose predictions in the radiation field using a limited number of MCNP simulations. Given the low computational cost of constructing Gaussian Process (GP) models, results indicate that the GP model can reasonably map the dose in the radiation field given a limited number of data measurements. Both case studies are performed on the nuclear engineering radiation laboratories at the University of Sharjah.

• 환경영향평가
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• 제22권2호
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• pp.147-156
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• 2013

Myanmar(Burma) has been preserved valuable environmental resources because of its political isolation. But recently, Myanmar has moved a capital city(Naypyidaw) at central forest area and it has been urbanized radically since 2005. In this paper, we built multi-temporal land cover map from Landsat images of 1970s to 2012 with ENVI 4.5 software. For a broad approach, administrative district Yamethin which includes Naypyidaw is classified into 3 classes and with only Naypyidaw region is classified with 4-5 classes to analyse specific changes. And with forest cover extracted by Object Oriented Classification, we evaluated forest fragmentation before and after the development using Patch Analyst(FRAGSTATs 3.3) at Yamethin area. For Yamethin area, there were significant forest cover change, 51% in 1999 to 48% in 2012, and for Naypyidaw area, 67% in 1999 to 57% in 2012 respectively. Also landscape indices resulted from Patch Analyst concluded that the total edge, edge density and mean shaped index of forest patches increased and total core area is decreased. It is attributed from land cover change with urbanization and agricultural land expansion.

• 응용통계연구
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• 제16권2호
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• pp.321-333
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• 2003

자기조직화 지도(SOM)은 T. 코호넨의 주도하에 개발된 비지도 학습 신경망 모형이다. 그 동안 패턴인식과 문서검색 분야에 주로 응용되어 왔기 때문에 통계학 분야에서는 덜 알려졌으나, 최근 K-평균 군집화에 대한 대안적 데이터 마이닝 기법으로 활용되기 시작하였다. 본 연구에서는 SOM의 한 버전인 PC-SOM(주성분 자기조직화 지도)을 제안하고 활용 예를 제시하고자 한다. PC-SOM은 1차원적 SOM 알고리즘을 반복 수행하여 2차원, 3차원 등의 SOM을 얻는 방법이기 때문에 기존 SOM과는 달리 사전 Map의 크기를 확정할 필요가 없다. 또한, 기존 SOM에 비하여 향상된 시각화를 가능하게 한다.

• 공학교육연구
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• 제15권5호
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• pp.140-150
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• 2012

The purpose of this study was to compare and analysis researches related the promising career and job outlook and to provide the direction for job choice to engineering students. Literature review and expert council were used to achieve the objectives of study. The result of this study was analyzed that these jobs were promising, that is, environmental scientist and specialist, earth scientist and hydrologist(education and research related career), architecture and architectural engineer, civil engineer, landscape technician, land surveyor map production expert photo surveyor surveying technician(construction related career), material engineer (mechanics and material related career), mine and geology engineer(chemistry, fiber and environment related career), computer system design and analyst, system software engineer, application software engineer, web specialist, and computer support specialist (electrical and telecommunication related career) and food engineer(food related career). In addition, health silver specialist, bio biomedical engineer, renewable energy specialist etc. were promising by considering social and economic trend for demographic change like aging and green growth.

• Geomechanics and Engineering
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• 제7권6호
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• pp.589-612
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• 2014

This study includes determination of liquefaction potential in Erzincan city center. Erzincan Province is situated within first-degree earthquake zone on earthquake map of Turkey. In this context, the earthquake scenarios were produced using the empirical expressions. Liquefaction potential for different earthquake magnitudes (6.0, 6.5, 7.0) were determined. Liquefaction potential was investigated using Standard Penetration Test (SPT). Liquefaction potential analyses are determined in two steps: geotechnical investigations and calculations. In the first steps, boreholes were drilled to obtain disturbed and undisturbed soil samples and SPT values were obtained. Laboratory tests were made to identify geotechnical properties of soil samples. In the second step, liquefaction potential analyses were examined using two methods, namely Seed and Idriss (1971), Iwasaki et al. (1981). The liquefaction potential broadly classified into three categories, namely non-liquefiable, marginally liquefiable and liquefiable regions. Additionally, the liquefaction potential index classified into four categories, namely non-liquefiable, low, high and very high liquefiable regions. In order to liquefaction analysis complete within a short time, MATLAB program were prepared. Following the analyses, liquefaction potential index is investigated by Iwasaki et al. (1982) methods. At the final stage of this study, liquefaction potential maps and liquefaction potential index maps of the all study area by using IDW (inverse distance weighted) interpolation method in Geostatistical Analyst Module of ArcGIS 10.0 Software were prepared for different earthquake magnitudes and different depths. The results of soil liquefaction potential were evaluated in ArcGIS to map the distributions of drillings with liquefaction potential. The maps showed that there is a spatial variability in the results obtained which made it difficult to clearly separate between regional areas of high or low potential to liquefy. However, this study indicates that the presence of ground water and sandy-silty soils increases the liquefaction potential with the seismic features of the region.

• 한국전자거래학회지
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• 제7권1호
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• pp.87-106
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• 2002

The behavioral and dynamic implications of an ERP implementation/installation are, to say the least, not well understood. Getting the switches set to enable the ERP software to go live is becoming straightforward. The really difficult part is understanding all of the dynamic interactions that accrue as a consequence. Dynamic causal and connectionist models are employed to facilitate an understanding of the dynamics and to enable control of the information-enhanced processes to take place. The connectionist model ran be analyzing (behind the scenes) the information accesses and transfers and coming If some conclusions about strong linkages that are getting established and what the behavioral implications of those new linkages and information accesses we. Ultimately, the connectionist model will come to an understanding of the dynamic, behavioral implications of the larger ERP implementation/installation per se. The underlying connectionist model will determine information transfers and workflow. Once a map of these two infrastructures is determined by the model, it becomes a relatively easy job for an analyst to suggest improvements in both. Connectionist models start with analog object structures and then use learning to produce mechanisms for managerial problem diagnoses. These mechanisms are neural models with multiple-layer structures that support continuous input/output. Based on earlier work performed and published by the author[10][11], a Connectionist ReasOning and LEarning System(CROLES) is developed that mimics the real-world reasoning infrastructure. Coupled with an explanation subsystem, this system can provide explanations as to why a particular reasoning structure behaved the way it did. Such a system operates in the backgmund, observing what is happening as every information access, every information response coming from each and every intelligent node (whether natural or artificial) operating within the ERP infrastructure is recorded and encoded. The CROLES is also able to transfer all workflows and map these onto the decision-making nodes of the organization.

• 암석학회지
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• 제25권4호
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• pp.325-334
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• 2016

한반도에서는 크고 작은 지진이 꾸준히 발생하고 있음을 역사문헌과 계기지진 관측 자료를 통해 알 수 있다. 본 연구에서는 역사지진과 계기지진 자료를 이용해 지리정보시스템(GIS)의 공간분석 결과, 북한의 평양지역이 지진으로부터 가장 위험한 지역으로 결정되었다. 평양은 북한의 수도로서 인구와 구조물의 밀집도가 높아 지진뿐만 아니라 재해로 인해 큰 위험에 처할 수 있다. 502년 평양에서 발생한 규모 6.7의 지진을 토대로 지진동 지도를 작성한 결과, 0.24 g보다 높은 지진동을 느낄 수 있는 지역이 평양지역의 약 51.1%를 차지한다. 또한 통계청 자료에 의하면 북한은 우리나라보다 재해로부터 열악한 환경에 처해 있음을 확인할 수 있었다. 이번 연구결과는 향후 북한을 포함한 우리나라의 포괄적인 지진재해예측 연구에 유용한 정보로 사용될 수 있다.