• 한국측량학회지
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• 제20권2호
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• pp.191-197
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• 2002

최근 컴퓨터 관련분야의 눈부신 발전과 더불어 고해상도 디지털 카메라의 개발은 수치사진측량분야에서도 보다 정확한 위치측정을 가능하게 하였으며, 이의 활용에 관심이 집중되고 있다. 본 연구는 사진실측을 통해 근대문화유산 건축물의 수치도면을 작성함에 있어서 수치영상을 이용한 영상선점 기법을 토대로 보다 손쉽게 3차원 위치측정이 가능한 알고리즘을 개발하고 시스템을 구축하여 기준점 측량작업 및 촬영조건 제약을 획기적으로 줄일 수 있었으며 보다 효율적으로 건축물의 수치도면화 및 3차원 모델을 구축할 수 있었다.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2010년 춘계학술발표회 논문집
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• pp.389-393
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• 2010

The Objective of this study was to develop a system for visualizing inundation area by using 1-D numerical model analyzing damage information such as inundation area, facilities, land usages, population, building, loads. In this study, we have reviewed hydraulic models to select a flood model for simulation of discharges, water depths and velocities. The study area is Namhan River from Youngwol to Paldang Dam which had a flood damage on upper and below regions of Chungju Dam by a storm event in 2006. At the first, we developed the DB system base on GIS thematic map, ortho images, cadastral maps to analyze flood damages and support decisions making. Changing the boundary conditions such as discharge at the gauging stations, flood simulations were performed and then damages were extracted from the databases information support system based on 1-D numerical hydraulic model, it is expected to be able to analyze flood damages and support a decision making for reduce flood relate damages. In the future, the system developed in this study could be applied for flood forecasting system of small scaled streams.

• 한국컴퓨터정보학회논문지
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• 제22권1호
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• pp.49-56
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• 2017

In this paper we propose the approach for big data integration so as to analyze, visualize and predict the future of the trend of the market, and that is to get the integration data model using the R language which is the future of the statistics and the Hadoop which is a parallel processing for the data. As four approaching methods using R and Hadoop, ff package in R, R and Streaming as Hadoop utility, and Rhipe and RHadoop as R and Hadoop interface packages are used, and the strength and weakness of four methods are described and analyzed, so Rhipe and RHadoop are proposed as a complete set of data integration model. The integration of R, which is popular for processing statistical algorithm and Hadoop contains Distributed File System and resource management platform and can implement the MapReduce programming model gives us a new environment where in R code can be written and deployed in Hadoop without any data movement. This model allows us to predictive analysis with high performance and deep understand over the big data.

• 대한한방내과학회지
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• 제29권3호
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• pp.608-620
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• 2008

Objectives : This study investigated the protective effects of the water extracts of Chongmyung-tang, Polygalae Radix, and Acori Graminei Rhizoma in an in vivo Alzheimer's disease (AD) mouse model. Methods : Memory impairment was induced by an intraventricular injection of $A{\beta}25-35$ peptides and subsequently Chongmyung-tang, Polygalae Radix, or Acori Graminei Rhizoma extract were administered orally for 14days. Results : In the water maze task, Chongmyung-tang, Polygalae Radix, and Acori Graminei Rhizoma extracts improved learning ability during the acquisition period and significantly increased memory scores during the retention period versus $A{\beta}-injected$ controls. Furthermore, the toxicity of $A{\beta}25-35$ on hippocampus was assessed immunohistochemically (Tau, MAP2, TUNEL, Bax) and by in vitro study. Chongmyung-tang, Polygalae Radix, and Acori Graminei Rhizoma demonstrated significant neuroprotective effects against oxidative damage and apoptotic cell death of hippocampal neurons damaged by $A{\beta}25-35$. Conclusions : These results suggested that Chongmyung-tang, Polygalae Radix and Acori Graminei Rhizoma extract improve memory impairment and reduce Alzheimer's dementia via anti-apoptotic effects and by modulating the expressions of Tau and MAP2 protein in the hippocampus.

• 한국인터넷방송통신학회논문지
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• 제15권6호
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• pp.135-140
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• 2015

CPS는 다양한 임베디드 시스템들을 복합적으로 모델링 및 시뮬레이션 한다. 이때 다양한 종류의 모델이 사용되기 때문에 시뮬레이션에 사용되는 데이터들에 대한 체계적인 관리 위해 SEDRIS를 적용한다. SEDRIS는 특정 도메인 환경에서 개발된 환경데이터들을 재사용 및 상호운영 가능하기 때문에 비용과 시간을 절감할 수 있다. 기존 시뮬레이터와 SEDRIS를 연동 위해, 시뮬레이터의 지형 표현에 사용되는 높이맵을 SEDRIS의 레스터 데이터 표현방법으로 변환하여 입력만이 가능하다. 이 문제를 해결위해, 높이맵 표현을 위해 사용되는 RAW파일을 폴리곤 데이터로 변환하는 방법을 제안한다. 제안한 방법은 두 가지 이점을 제공한다. 첫 번째로 SEDRIS 내부에 환경데이터 표현이 가능해진다. 두 번째는 그림파일처럼 보이는 지형을 뷰어로 확인 가능하다. 즉, SEDRIS 비전문가도 지형 환경 데이터를 구축이 가능하다.

• 통합자연과학논문집
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• 제10권2호
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• pp.78-84
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• 2017

CXC chemokine receptor 2 (CXCR2) is a prominent chemokine receptor on neutrophils. CXCR2 antagonist may reduce the neutrophil chemotaxis and alter the inflammatory response because the neutrophilic inflammation in the lung diseases is found to be largely regulated through CXCR2 receptor. Hence, in the present study, Hologram based Quantitative Structure Activity Relationship Study was performed on a series of CXCR2 antagonist named pyrimidine-5-carbonitrile-6-alkyl derivatives. The best HQSAR model was obtained using atoms, bonds, and chirality as fragment distinction parameter using hologram length 151 and 6 components with fragment size of minimum 4 and maximum 7. Significant cross-validated correlation coefficient ($q^2=0.774$) and non cross-validated correlation coefficients ($r^2=0.977$) were obtained. The model was then used to evaluate the six external test compounds and its $r^2_{pred}$ was found to be 0.614. Contribution map show that presence of cyclopropyl ring and its bulkier substituent's makes big contributions for improving the biological activities of the compounds. We hope that our HQSAR model and analysis will be helpful for future design of novel and structurally related CXCR2 antagonists.

• 한국정밀공학회지
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• 제20권11호
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• pp.64-70
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• 2003

This paper suggests a systematic methodology to predict chip forms using the experimental design technique and the neural network. Significant factors determined with ANOVA analysis are used as input variables of the neural network back-propagation algorithm. It has been shown that cutting conditions and cutting tool shapes have distinct effects on the chip forms, so chip breaking. Cutting tools are represented using the Z-map method, which differs from existing methods using some chip breaker parameters. After training the neural network with selected input variables, chip forms are predicted and compared with original chip forms obtained from experiments under same input conditions, showing that chip forms are same at all conditions. To verify the suggested model, one tool not used in training the model is chosen and input to the model. Under various cutting conditions, predicted chip forms agree well with those obtained from cutting experiments. The suggested method could reduce the cost and time significantly in designing cutting tools as well as replacing the“trial-and-error”design method.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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• pp.63-63
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• 2003

The aim of this study is to apply and verify of Bayesian probability model, the likelihood ratio and statistical model, at Janghung, Korea, using a Geographic Information System (GIS). Landslide locations were identified in the study area from interpretation of IRS satellite images, field surveys, and maps of the topography, soil type, forest cover, geology and land use were constructed to spatial database. The factors that influence landslide occurrence, such as slope, aspect and curvature of topography were calculated from the topographic database. Texture, material, drainage and effective soil thickness were extracted from the soil database, and type, diameter and density of forest were extracted from the forest database. Land use was classified from the Landsat TM image satellite image. As each factor's ratings, the likelihood ratio coefficient were overlaid for landslide susceptibility mapping, Then the landslide susceptibility map was verified and compared using the existing landslide location. The results can be used to reduce hazards associated with landslides management and to plan land use and construction.

• 한국자동차공학회논문집
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• 제22권5호
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• pp.35-43
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• 2014

The automobile industry requires technological innovations to reduce fuel consumption with the public interest in environmental conservation in recent years. Thus, the hybrid system is applied not only to passenger cars but also commercial vehicles. The purpose of this paper is to develop engine ECU_ILS to develop commercial hybrid vehicles. In order to develop the engine and vehicle, the dynamometer and exhaust gas analyzer is needed. However, a lot of time and cost are required. In contrast, the model-based development environment that can be applied to a variety of test conditions can reduce development time. Therefore, a HILS system environment that can consider the behavior of actual vehicles for evaluation of the control logic, fuel consumption and exhaust gas is required. This engine ECU_ILS system was developed in this study, can analyze parameter such as the fuel injection rate, fuel injection time, fuel consumption and exhaust gas like the actual vehicle test using map data. Also, this system is expected to be able to analyze the characteristic of vehicle behavior and the development of peripheral device in relation to engine and vehicles. This HILS system can be used to develop control strategies of commercial hybrid vehicle systems in the future.

• 한국측량학회지
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• 제24권1호
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• pp.89-97
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• 2006

토양침식은 지구상에 존재하는 자원의 기반을 위협하는 중요한 환경문제로 대두되고 있다. 본 연구에서는 토양 침식모형중 GIS와의 연계가 가능하고 중규모유역에서 범용적으로 활용가능한 RUSLE 침식모형을 선정하여 모형에 입력되는 인자들을 GSIS 공간분석기법을 활용하여 추출하였다. 먼저 댐 유역의 토양침식량 평가를 위해 토양도, DEM, 토지피복도와 같은 GIS 자료와 2003년 태풍매미 강우사상을 적용하고, 상하류 유역특성을 고려한 토양침식의 변화를 분석하고자 토양침식인자, 지형인자 그리고 식생피복인자를 분석한 결과, 상류유역에서는 산림의 높은 비율로 인해 토양침식인자와 지형인자의 평균값이 하류유역에 비해 높게 나타났고, 반면 하류유역에서는 완만한 경사의 농경지의 영향으로 식생피복인자의 평균값이 높게 나타남을 알 수 있었다. 그리고, 상하류 유역특성을 고려한 토양침식량 평가 결과, 상류유역의 단위토양침식량이 하류유역보다 약 4.3배 높게 나타남을 알 수 있었다. 따라서 토양침식 저감을 위한 유역대책 수립시 상류유역을 중점 대상지역으로 선정하는 것이 효과 적임을 알 수 있었다.