• Title/Summary/Keyword: V 모델

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GUI Implementation for 3D Visualization of Ocean Hydrodynamic Models (해수유동모델 결과의 3차원 가시화를 위한 GUI 구현)

  • Choi, Woo-Jeung;Park, Sung-Eun;Lee, Won-Chan;Koo, Jun-Ho;Suh, Young-Sang;Kim, Tae-Hyun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.7 no.3
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    • pp.99-107
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    • 2004
  • This study presents an application of GIS technologies to construct the graphic user interface for 3-dimensional exhibition of the results obtained by ocean hydrodynamic model. In coastal management studies, GIS provide a receptacle for scattered data from diverse sources and an improvement of the 3D visualization of such data. Within the frame of a GIS a variety of analytical, statistical and modeling tools can be applied to transform data and make them suitable for a given application. A 3D hydrodynamic model was driven by time-dependent external forcing such as tide, wind velocity, temperature. salinity, river discharge, and solar radiation under the open boundary condition. The Jinhae bay was selected as a case study. Here, we have used GeoMania v2.5 GIS software and its 3D Analyst extension module to visualize hydrodynamic model result that were simulated around the Jinhae bay.

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An Implementation of Priority Model of Real-Time CORBA (실시간 CORBA의 우선순위 모델 구현)

  • Park, Sun-Rei;Chung, Sun-Tae
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.38 no.4
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    • pp.59-71
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    • 2001
  • The Current CORBA shows some limitations for its successful deployment in real time system applications. Recently, OMG adopted Real-Time CORBA specification, which is defined as an extension to CORBA. The goal of the Real-Time CORBA is to provide a standard for CORBA ORB implementations that support 'end to end predictability'. In order to support 'end-to-end predictability', Real Time CORBA specifies many components such as priority model, communication protocol configuration, thread management, and etc. Among them, 'priority model' is the most important mechanism for avoiding or bounding priority inversion in CORBA invocations. In this paper, we present our efforts on a design ,and implementation of the Priority Model in Real-Time CORBA specification. The implementation is done as an extension of omniORB2(v.3.0.0), a popular open source non real time ORB. Experiment results demonstrate that our priority model implementation shows better performance and predictability than the non real-time ORB.

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Comparison of Parameter Using the Repair Survival Model Irradiated High-LET (LET 증가에 따른 회복 생존 모델의 파라미터 값 비교)

  • Choi, Eunae
    • Journal of the Korean Society of Radiology
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    • v.11 no.4
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    • pp.177-181
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    • 2017
  • Dose response curves using absorbed dose to the biological effect are usually available in case of conventional X beam. However, absorbed dose is not consider in treatment planning for carbon beam such as heavy ions. Because the biological effects also depend on other quantities such as the local variation, which is often characterized by the linear energy transfer (LET). So LQ model cannot explain the entire response of fractionated carbon beam irradiation. The variation in LET with penetration depth leads to substantial differences in biological effect of carbon beam. And it is therefore essential in treatment planning to calculate not only the absorbed dose but also the LET to estimate the biological outcome of the radiation of interest. LET variation plays an important role in the fractionated irradiations. It is suggested that consideration of LET is necessary in biophysical model.

Fall Detection Based on 2-Stacked Bi-LSTM and Human-Skeleton Keypoints of RGBD Camera (RGBD 카메라 기반의 Human-Skeleton Keypoints와 2-Stacked Bi-LSTM 모델을 이용한 낙상 탐지)

  • Shin, Byung Geun;Kim, Uung Ho;Lee, Sang Woo;Yang, Jae Young;Kim, Wongyum
    • KIPS Transactions on Software and Data Engineering
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    • v.10 no.11
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    • pp.491-500
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    • 2021
  • In this study, we propose a method for detecting fall behavior using MS Kinect v2 RGBD Camera-based Human-Skeleton Keypoints and a 2-Stacked Bi-LSTM model. In previous studies, skeletal information was extracted from RGB images using a deep learning model such as OpenPose, and then recognition was performed using a recurrent neural network model such as LSTM and GRU. The proposed method receives skeletal information directly from the camera, extracts 2 time-series features of acceleration and distance, and then recognizes the fall behavior using the 2-Stacked Bi-LSTM model. The central joint was obtained for the major skeletons such as the shoulder, spine, and pelvis, and the movement acceleration and distance from the floor were proposed as features of the central joint. The extracted features were compared with models such as Stacked LSTM and Bi-LSTM, and improved detection performance compared to existing studies such as GRU and LSTM was demonstrated through experiments.

Chromatic adaptation model for the variations of the luminance of the same chromaticity illuminants (동일 색도 광원의 휘도 변화에 따른 색 순응 모델)

  • Kim Eun-Su;Jang Soo-Wook;Lee Sung-Hak;Sohng Kyu-lk
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.42 no.4 s.304
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    • pp.31-38
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    • 2005
  • In this paper, we propose the chromatic adaptation models (CAM) for the variations of the luminance levels. A chromatic adaptation model, CAM$\Delta$Y , is proposed according to the change of luminance level under the same illuminants. The proposed model is obtained by the transform the test colors of the high luminance into the corresponding colors of the low luminance. In the proposed model, the optimal coefficients are obtained from the corresponding colors data of the Breneman's experiments. In the experimental results, we confined that the chromaticity errors, $\Delta$u'v', between the predicted colors by the proposed model and the corresponding colors of the Breneman's experiments are 0.004 in u'v' chromaticity coordinates. The prediction performance of the proposed model is excellent because this error is the threshold value that two adjacent color patches can be distinguished. Additionally, we also propose equal-whiteness CCT curves (EWCs) by CAM$\Delta$Y according to the luminance levels of the surround viewing conditions. And the proposed EWCs can be used as the theoretical standard which determines the reference white of the color display devices.

A Study on the Phase Formation and Sequence in Co/Si System during Ion Beam Mixing (Ion Beam Mixing에 의한 Co/Si 계의 상 형성 및 전이에 관한 연구)

  • 최정동;곽준섭;백홍구;황정남
    • Journal of the Korean Vacuum Society
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    • v.4 no.1
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    • pp.26-31
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    • 1995
  • 본 연구에서는 Co/Si 계에 대한 이온선 혼합실험을 온도와 이온선량을 변수로 하여 실시하였고, Co/Si 계에 대한 상형성 과정을 금속/Si 계에 대한 이온선 혼합시의 비정질상 및 결정상 형성예측 모델(ADF Model)과 초기 결정상 예측 모델(PDF Model)을 이용하여 해석하였다. 이온선 혼합은 80KeV 가속기를 이용하여 상온$-400^{\circ}C$의 온도 범위에서 1.0X1015Ar+/$\extrm{cm}^2$-2.0X1016Ar+/$\textrm{cm}^2$의 이온선량을 변화시키면서 실험하였으며 상분석은 투과전자현미경(TEM)과 X선 회절 분석을 이용하였다. Co/Si 계에서 이온선 혼합시 형성되는 초기 결정상은 Co2Si이며 이온선량의 증가에 따라 CoSi로 상전이하였다. 이러한 실험 결과는 비정질상 및 결정상 형성 예측 모델(ADF model)과 초기 결정상 예측모델(PDF model)의 예측결과와 매우 잘 일치하고 있다. 이상의 연구 결과로부터 ADF 모델과 PDF모델을 이용하여 박막에서 형성되는 상을 보다 정확히 예측할 수 있음을 알 수 있었다.

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Structure of FDS for Flow Analysis (유동해석을 위한 FDS의 구조)

  • Lee, Ju-Hee;Kim, Dong-Eun;Kim, Bong-Chan;Kwon, Young-Jin
    • Proceedings of the Korea Institute of Fire Science and Engineering Conference
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    • 2012.04a
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    • pp.270-273
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    • 2012
  • 오픈 소스인 FDS(fire dynamic simulator)는 건물, 터널내의 화재나 연기, 열기류의 거동을 연구하기 위하여 국내외적으로 광범위하게 이용되고 있다. 체계적인 연구와 확장이 가능하도록 소스코드와 프로그램구조, 각종 메뉴얼을 갖추고 있으며 향후 개발 방향을 온라인을 통해서 소스코드와 함께 공개하고 있다. 비압축성 비정상해석을 근간으로 하고 있으며 난류유동을 해석할 수 있도록 DNS와 LES모델을 가지고 있다. 화재, 연소, 스프링클러, 화재 확산 등의 모델링을 제공하고 있다. 이러한 모델을 바탕으로 다양한 시나리오의 재난, 피난에 적용할 수 있다. 향후 이러한 기본 모델을 바탕으로 새로운 재난 시나리오에 따라 새로운 알고리즘의 적용하기 위해서는 FDS 기본적인 구조와 모델, 그리고 한계점을 이해할 필요가 있다. 본 연구에서는 이러한 FDS모델을 더욱 확장하기 위한 일환으로 FDS(V5.5.3)의 기본적인 구조을 파악하고 몇 가지 검증모델(verification)에 적용하였다. 또한 이를 향후 FDS의 소스코드를 확장할 수 있는 근간으로 삼고자 한다.

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Development of the Dynamic Model of the Solar Cell Module by the Impedance Spectroscopy (임피던스 분광법을 이용한 태양전지 모듈의 동특성 모델 개발)

  • Kim, Wook;Choi, Woo-Jin
    • Proceedings of the KIPE Conference
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    • 2008.06a
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    • pp.289-291
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    • 2008
  • 태양전지에 관한 많은 모델이 제안되어 왔으나 대부분은 특정 일사량에서 측정된 태양전지의 I-V 특성커브를 기준으로 보간법을 사용하여 운전점을 구하는 모델링 방식을 사용하고 있으며, 태양전지의 동특성 모델에 관한 연구는 매우 드물다. 효율적인 에너지 변환을 위한 고성능 전력변환기의 설계를 위해서는 태양전지의 정특성 및 동특성에 관한 정확한 정보가 요구된다. 태양전지의 정특성은 제조사에 의해 일반적으로 측정되어 공개되므로 용이하게 이해될 수 있으나 동특성은 그렇지 못하다. 본 논문에서는 임피던스 분광법(Impedance Spectroscopy)을 이용하여 태양전지 모듈의 동특성 모델을 개발하고, 개발된 모델의 유용함과 정밀함을 실험을 통해 검증 하였다. 개발된 동특성 모델은 정밀한 태양전지 시뮬레이션과 새로운 MPPT 알고리즘 개발에 이용될 수 있을 것으로 기대된다.

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Deep learning based Triplet Network for Face Verification (동일 인물 검증을 위한 딥러닝 기반 삼중 항 네트워크 모델)

  • Lee, Ji-Young;Kim, Ji-Ho;Choi, Hoeryeon;Lee, Hong-Chul
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2021.07a
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    • pp.51-52
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    • 2021
  • 본 논문에서는 얼굴 검증(Face Verification) 문제를 해결하기 위한 방법론으로 깊은 삼중 항 네트워크 모델을 제안한다. 본 논문에서는 얼굴 검증을 거리기반 유사도 문제로 보고, 딥러닝 기반 메트릭 러닝으로 해결하고자 하였다. 딥 메트릭 러닝 중 하나인 삼중 항 네트워크를 깊게 쌓기 위해 ResNet50, ResNet101과 경량화 모델인 MobileNet v3를 적용하였으며, 위 모델을 사용함으로써 이미지의 특징 추출을 효과적으로 할 수 있었다. 본 연구에서 제시한 방법론은 추후 복잡한 모델이 필요한 영상 데이터 내 얼굴 식별 모델에 기초 연구로서의 의의가 있다.

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Long-Term Prediction of Radionuclide Leaching from Waste Matrix by Finite-Slab Approximation Method (유한 격판 근사 방법에 의한 고화체로부터의 방사성 핵종의 용출율 장기 예측)

  • Doh, Jeong-Yeul;Lee, Kun-Jai
    • Nuclear Engineering and Technology
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    • v.20 no.3
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    • pp.197-202
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    • 1988
  • A finite slab approximation method was developed to predict the long-term teachability. It is based on the assumption that the diffusional characteristics of radionuclides in a waste matrix are not dependent on matrix geometry but dependent on volume to surface ratio V/S) and diffusion coefficient. Consequently it can be expressed as the solution of the equations obtained from a finite slab with an equal V/S ratio (imaginary diffusion length). The calculational results by the finite slab approximation method have been compared with the results obtained for finite cylinder and sphere with corresponding diffusional analysis. The results of this simple model have showed a good agreement and presented a general applicability for the long-term prediction of the radionuclide leaching behavior.

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