• 제목/요약/키워드: Topography analysis

검색결과 938건 처리시간 0.03초

Prediction of typhoon design wind speed and profile over complex terrain

  • Huang, W.F.;Xu, Y.L.
    • Structural Engineering and Mechanics
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    • 제45권1호
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    • pp.1-18
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    • 2013
  • The typhoon wind characteristics designing for buildings or bridges located in complex terrain and typhoon prone region normally cannot be achieved by the very often few field measurement data, or by physical simulation in wind tunnel. This study proposes a numerical simulation procedure for predicting directional typhoon design wind speeds and profiles for sites over complex terrain by integrating typhoon wind field model, Monte Carlo simulation technique, CFD simulation and artificial neural networks (ANN). The site of Stonecutters Bridge in Hong Kong is chosen as a case study to examine the feasibility of the proposed numerical simulation procedure. Directional typhoon wind fields on the upstream of complex terrain are first generated by using typhoon wind field model together with Monte Carlo simulation method. Then, ANN for predicting directional typhoon wind field at the site are trained using representative directional typhoon wind fields for upstream and these at the site obtained from CFD simulation. Finally, based on the trained ANN model, thousands of directional typhoon wind fields for the site can be generated, and the directional design wind speeds by using extreme wind speed analysis and the directional averaged mean wind profiles can be produced for the site. The case study demonstrated that the proposed procedure is feasible and applicable, and that the effects of complex terrain on design typhoon wind speeds and wind profiles are significant.

AIS의 운용현황과 전파환경에 대한 분석 연구 (Analysis of Operational State and Radio Environment of AIS)

  • 서기열;홍태호;박계각;최조천
    • 한국정보통신학회논문지
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    • 제9권7호
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    • pp.1439-1444
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    • 2005
  • 현재 AIS는 운영관리 측면에서 기지국 장치들의 높은 효율성과 안전성이 요구되고 있고, 서비스 범위 측면에서도 AIS 송수신기의 성능평가를 통한 음영구역의 최소화가 필요한 시점이다. 따라서 본 논문에서는 AIS의 전파환경 평가를 통한 기지국 전파도달 범위 및 음영구역을 분석한다. 먼저, 국내 AIS 기지국 및 VTS 센터의 구축 현황에 살펴보고, AIS 전파 환경 분석을 위해, 특성에 따른 전파의 도달범위 분석방안을 수립한다. 다음으로 실제 수집한 데이터를 기후 및 지형요소에 따라 분석하여, 전국 22개 기지국의 서비스 지역 및 음영구역을 도출한다. 마지막으로 분석결과 및 문제점을 요약하고, 개선방안을 제시한다.

연안역의 토사 및 영양염류 유출에 관한 현지관측 및 대안 (Field Observation and Countermeasure for the effluent of sediment and nutrient on the Okinawa Ishigaki Island)

  • 이국진;김인수;지전준개
    • 한국항해항만학회:학술대회논문집
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    • 한국항해항만학회 2004년도 춘계학술대회 논문집
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    • pp.241-246
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    • 2004
  • 본 연구는 강우에 기인한 연안역의 토사 및 영양염류 유출에 관한 현지관측과 대안[( 沖蠅石垣島 ) 오끼나와 이시가키섬]이며, 이를 통한 유출지형분석, 강우강도ㆍ조석과의 영향, 유출입자의 특성(탁도, 임도, 영양염류) 등을 확인하였다. 연안부의 토사 유출과 영양염류의 농도는 강우강도와 조수간만의 시간적 변화에 따라 지역적 차이를 보였으며, 하천유역 주변 토지 이용형태와 주변 식생의 분포비율에 따라 변화되어지고 있음을 확인할 수 있었다.

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PC에 기반한 3차원 TOPOGRAPHIC 매핑 시스템에 관한 연구 (A STUDY ON 3D BRAIN TOPOGRAPHY BASED ON PC)

  • 김강호;권중혁;이대희;이용희;김선일
    • 대한의용생체공학회:학술대회논문집
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    • 대한의용생체공학회 1997년도 춘계학술대회
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    • pp.362-365
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    • 1997
  • To visualize electrical activities in the cerebral cortex, we develop the 3D topographic mapping system based on PC. For this work, we utilize OpenGL tool and an optimized interpolation method known as 3D barycentric algotithm, which has a little computational complexity. OpenGL processes the 3D coordinates, and 3D barycentric algotithm interpolates to get overall EEGs with EEGs measured from finite electrodes on 3D. To prove validity of this algorithm on the PC-based system, we developped Windows-based 3D topographic mapping program using the Barycentric algorithm. The result showed that the performance of this system is comparable to that of workstation in terms of speed and precision. Also, the result of clinical test was the same as that of a EEG technician's analysis.

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THE APPLICATION OF ARTIFICIAL NEURAL NETWORKS TO LANDSLIDE SUSCEPTIBILITY MAPPING AT JANGHUNG, KOREA

  • LEE SARO;LEE MOUNG-JIN;WON JOONG-SUN
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.294-297
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    • 2004
  • The purpose of this study was to develop landslide susceptibility analysis techniques using artificial neural networks and then to apply these to the selected study area of Janghung in Korea. We aimed to verify the effect of data selection on training sites. Landslide locations were identified from interpretation of satellite images and field survey data, and a spatial database of the topography, soil, forest, and land use was constructed. Thirteen landslide-related factors were extracted from the spatial database. Using these factors, landslide susceptibility was analyzed using an artificial neural network. The weights of each factor were determined by the back-propagation training method. Five different training datasets were applied to analyze and verify the effect of training. Then, the landslide susceptibility indices were calculated using the trained back-propagation weights and susceptibility maps were constructed from Geographic Information System (GIS) data for the five cases. The results of the landslide susceptibility maps were verified and compared using landslide location data. GIS data were used to efficiently analyze the large volume of data, and the artificial neural network proved to be an effective tool to analyze landslide susceptibility.

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RS.GIS 기법을 활용한 해운대 해저.해빈지형의 3차원 입체변화 탐지 및 분석 (Detection and Analysis of Three-dimensional Changes in Haeundae Marine and Beach Topography using RS and GIS Technology)

  • 홍현정;최철웅;한경수;전성우
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2006년도 춘계학술대회 논문집
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    • pp.232-235
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    • 2006
  • 해저 해빈모래가 다량 유실되어 이 지역의 장기관리를 위해 침식구간에 대한 지속적인 모니터링 작업이 필요하다. 그러나 각 구청은 지형변화 분석 작업 없이, 양빈작업에 급급하고 있어 장기효과가 나타나지 않고 있다. 그러므로 본 연구는 수심측량 및 GPS 측량을 통해 해저 해빈지대의 정확한 공간자료를 구축, RS GIS 기법을 도입하여 지형변화를 정량 정성적으로 탐지 분석하였다. 연구 결과, 해운대 해저지형은 과도한 도시개발과 하천복개공사로 지난 25년간, 평균수심 0.40m, 수표면적 $11,028m^2$, 수중체적 $2,207,884m^3$ 가량 침식되었다. 해빈지형은 지난 5년간, 평균고도 0.27m, 총면적 $6,501m^2$, 총체적 $25,667m^3$ 가량 퇴적되었다. 이의 원인은 지오그리드의 설치로 해빈모래가 서측까지 도달하지 못하고, 계절영향으로 사료된다. 본 연구는 해저 해빈지형의 정확한 측량작업으로 해안 및 지형변화에 관한 모니터링 작업을 실시하여 연안침식 현황을 분석하고, 양빈작업 및 안전한 해양레저 활동, 해수욕장 관리에 필요한 정보를 제공할 수 있을 것으로 판단된다.

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거친 면 접촉의 정적 마찰계수 해석 (Analysis of the Static Friction Coefficient of Contacting Rough Surfaces in Miniature Systems)

  • 김태종
    • Tribology and Lubricants
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    • 제19권4호
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    • pp.230-236
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    • 2003
  • In applications such as MEMS and NEMS devices, the adhesion force and contact load may be of the same order of magnitude and the static friction coefficient can be very large. Such large coefficient may result in unacceptable and possibly catastrophic adhesion, stiction, friction and wear. To obtain the static friction coefficient of contacting real surfaces without the assumption of an empirical coefficient value, numerical simulations of the contact load, tangential force, and adhesion force are preformed. The surfaces in dry contact are statistically modeled by a collection of spherical asperities with Gaussian height distribution. The asperity micro-contact model utilized in calculation (the ZMC model), considers the transition from elastic deformation to fully plastic flow of the contacting asperity. The force approach of the modified DMT model using the Lennard-Jones attractive potential is applied to characterize the intermolecular forces. The effect of the surface topography on the static friction coefficient is investigated for cases rough, intermediate, smooth, and very smooth, respectively. Results of the static friction coefficient versus the external force are presented for a wide range of plasticity index and surface energy, respectively. Compared with those obtained by the GW and CEB models, the ZMC model is more complete in calculating the static friction coefficient of rough surfaces.

국도 44호선 인제-양양간 수해복구공사 깎기 비탈면 설계 및 시공사례 (A case study on slope restoration work in In-je to Yang-yang national roadway No.44)

  • 유재성;정삼용;박헌영
    • 한국지반공학회:학술대회논문집
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    • 한국지반공학회 2010년도 춘계 학술발표회
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    • pp.1-13
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    • 2010
  • Numerous landslides had occurred in Kangwondo in July 2006 and several restoration works had been done. A-day-accumulative rainfalls from July 12 to July 13 and July 15 to July 16 were 176mm and 202mm respectively. Disaster sites at which slope failures were studied to main causes of slope failures by investigating characteristics of rainfall, geological formation, topography and ground surface exploration around the boundary of landslides. In this study, a series of slope restoration work process is presented for reference which about the landsliding area in Han-Gye-Ryeong to O-Saek in Kwangwon-do where one of the most severe damaged area in 2006. The slope restoration work process includes site investigation, analysis on affected factor, restoration or reinforcing method design, construction procedure and recent status of that area. Also several considering points are suggested while design and construction for the reference at the other restoration works.

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초음파원자현미경을 이용한 나노스케일 박막 코팅층에 대한 탄성특성 평가 (Evaluation of Elastic Properties for Nanoscale Coating Layers Using Ultrasonic Atomic Force Microscopy)

  • 곽동열;조승범;박익근
    • 한국생산제조학회지
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    • 제24권5호
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    • pp.475-480
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    • 2015
  • Ultrasonic atomic force microscopy (Ultrasonic-AFM) has been used to investigate the elastic property of the ultra-thin coating layer in a thin-film system. The modified Hertzian theory was applied to predict the contact resonance frequency through accurate theoretical analysis of the dynamic characteristics of the cantilever. We coat 200 nm thick Aluminum and Titanium thin films on the substrate using the DC Magnetron sputtering method. The amplitude and phase of the contact resonance frequency of a vibrating cantilever varies in response to the local stiffness constant. Ultrasonic-AFM images were obtained using the variations in the elastic property of the materials. The morphology of the surface was clearly observed in the Ultrasonic-AFM images, but was barely visible in the topography. This research demonstrates that Ultrasonic-AFM is a promising technique for visualizing the distribution of local stiffness in the nano-scale thin coatings.

Development and application of artificial neural network for landslide susceptibility mapping and its verfication at Janghung, Korea

  • Yu, Young-Tae;Lee, Moung-Jin;Won, Joong-Sun
    • 한국GIS학회:학술대회논문집
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    • 한국GIS학회 2003년도 공동 춘계학술대회 논문집
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    • pp.77-82
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    • 2003
  • The purpose of this study is to develop landslide susceptibility analysis techniques using artificial neural network and to apply the developed techniques to the study area of janghung in Korea. Landslide locations were identified in the study area from interpretation of satellite image and field survey data, and a spatial database of the topography, soil, forest and land use were consturced. The 13 landslide-related factors were extracted from the spatial database. Using those factors, landslide susceptibility was analyzed by artificial neural network methods, and the susceptibility map was made with a e15 program. For this, the weights of each factor were determinated in 5 cases by the backpropagation method, which is a type of artificial neural network method. Then the landslide susceptibility indexes were calculated using the weights and the susceptibility maps were made with a GIS to the 5 cases. A GIS was used to efficiently analyze the vast amount of data, and an artificial neural network was turned out be an effective tool to analyze the landslide susceptibility.

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