• Title/Summary/Keyword: 생성모형

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Simulation of Virtual Marionette with 3D Animation Data (3D Animation Data를 활용한 가상 Marionette 시뮬레이션)

  • Oh, Eui-Sang;Sung, Jung-Hwan
    • The Journal of the Korea Contents Association
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    • v.9 no.12
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    • pp.1-9
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    • 2009
  • A doll created by various materials is a miniature based on human model, and it has been one of components in a puppet show to take some responsibility for human's culture activity. However, demand and supply keeps on the decrease in the puppet show industry, since professional puppeteer has been reduced rapidly, and also it is difficult to initiate into the skill. Therefore, many studies related Robotic Marionette for automation of puppet show have been internationally accompanied, and more efficient structure design and process development are required for better movement and express of puppet with motor based controller. In this research, we suggest the effective way to enable to express the marionette's motion using motion data based on motion capture and 3D graphic program, and through applying of 3D motion data and proposal of simulation process, it will be useful to save time and expenses when the Robotic Marionette System is practically built.

A Study on the Improvements of Positioning Accuracy of Digital Elevation Model Using SPOT Satellite Triplet Images (SPOT 3중 입체위성영상을 이용한 수치표고모형의 정확도 개선)

  • Cho, Bong-Whan;Lee, Yong-Woong;Shin, Dae-Shik
    • Journal of Korean Society for Geospatial Information Science
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    • v.3 no.1 s.5
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    • pp.55-66
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    • 1995
  • Most studies using satellite images have been performed to determine three dimensional positioning by stereoscopic analysis for stereo-pair or to extract digital elevation model by stereo matching using image correlation techniques. Because the small errors on the ground control points have a great impact on the results, however, it is hard to get reliable products when we analyze satellite orbital parameters or acquire digital elevation model by using only stereo-pair. Also, if there are noises, shadows, or clouds on the one of stereo pair, it is difficult to produce DEM(digital elevation model) on the area under analysis or to have good accuracy. In these case, it can be solved by systematic analysis of the multiple stereo images. This paper suggests the improvements on the accuracy of the digital elevation model by the developments of stereoscopic analysis techniques for the triplet of SPOT satellite images on the same area.

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Generation of DEM by Correcting Blockage Areas on ASTER Stereo Images (ASTER 스테레오 영상의 폐색영역 보정에 의한 DEM 생성)

  • Lee, Jin-Duk;Park, Jin-Sung
    • Journal of the Korean Association of Geographic Information Studies
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    • v.13 no.1
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    • pp.155-163
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    • 2010
  • The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) on-board the NASA's Terra spacecraft provides along-track digital stereo image data at 15m resolution with a base-height ratio 0.6. Automated stereocorrelation procedure was implemented using the ENVI 4.1 software to derive DEMs with $15m{\times}15m$ in 43km long and 50km wide area using the ASTER stereo images. The accuracy of DEMs was analyzed in comparison with those which were obtained from digital topographic maps of 1:25,000 scale. Results indicate that RMSE in elevation between ${\pm}7$ and ${\pm}20m$ could be achieved. Excluding cloud, water and building areas as the factors which make RMSE value exceeding 10m, the accuracy of DEMs showed RMSE of ${\pm}5.789m$. Therefore for the purpose of elevating accuracy of topographic information, we intended to detect the cloud areas and shadow areas by a landcover classification method, remove those areas on the ASTER DEM and then replace with those areas detached from the cartographic DEM by band math.

A User Experience Study In Blockchain Based Social Platform -Focused on a Steemit- (블록체인 기반 소셜 플랫폼 사용자 경험 연구 -스팀잇을 중심으로-)

  • Han, Sang-Wook;Kim, Seung-In
    • Journal of the Korea Convergence Society
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    • v.9 no.8
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    • pp.135-141
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    • 2018
  • The purpose of this study is to analyze the user experience and suggest the necessary improvements, in the blockchain based social platform Steemit. First, I investigated what is the blockchain and the characteristic of social platforms based on blockchain system. The honeycomb model was used to investigate and analyze the Steemit user experience, and the quantitative and qualitative data were analyzed through questionnaires and in-depth interviews. As a result of the research, the voting function, which is core function of the service in use, has high usefulness. Improvements suggestion that the editing tools and the abuse of voting function should be improved. I hope that this study will be used as a basic research material to improve the user experience of blockchain based social platforms.

Source Intensity Analysis of DUPIC Fuel (DUPIC 핵연료의 조사선량률 분석)

  • Kim, Yun-Goo;Lim, Jae-Yong;Park, Bhum-Lak;Park, Kwang-Heon;Whang, Ju-Ho
    • Journal of Radiation Protection and Research
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    • v.21 no.2
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    • pp.117-124
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    • 1996
  • Source intensities in terms of the exposure rates at 1m from the fresh and spent DUPIC fuels, made from standard and extended turnup PWR fuels, were analyzed. Two cases were studied based on the degree of elimination of removable elements. Homogeneous mixture model was applied to get the exposure rate. The exposure rate turned out to be very high and sensitive to Cs elimination during the dry process. About 90% of exposure can be reduced in the case of fresh DUPIC fuel made from 10-year cooled spent PWR fuels if Cs is fully removed during the dry process. The main radiation source in spent fuels is Cs-137. The dry storage of spent DUPIC fuel may need a longer wet storage period and require a further review.

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막분리(NF, UF)를 이용한 자연유기물(NOM) 제거에 관한 연구(II) - NF, UF 운전특성과 HAA생성능 제거 -

  • Song, Yang-Seok;Park, Yong-Hun;Jo, Yeong-Gwan;Jo, Jae-Won;Park, Don-Hui
    • 한국생물공학회:학술대회논문집
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    • 2003.04a
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    • pp.334-338
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    • 2003
  • In this study, We evaluated the removal efficiency of natural organic matters(NOM) in the Ultrafiltration(UF) and Nanofiltration(NF) membranes with molecular weight cutoff of 2500(GH), 8000(GM) and 250(HL), respectively. Filtration type was cross-flow filtration. The investigation result about raw water structure was hydrophobic 28%, hydrophilic 53% and transphilic 19%, in conjunction with XAD8/4 resin fractionation method. We were compared with UF(GM, GH) and NF(HL), in operation characteristic. In spite of poor MWCO, GM(8000Da) was superior than GH(2500Da), in the efficiency of total operation. It was showed the NF(HL) 80%, UF(GM) 50%, in the removing efficiency of HAAFP.

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An Application of the HLLL Approximate Riemann Solver to the Shallow Water Equations (천수방정식에 대한 HLLL 근사 Riemann 해법의 적용)

  • Hwang, Seung-Yong;Lee, Sam Hee
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.32 no.1B
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    • pp.21-27
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    • 2012
  • The HLLL scheme, proposed by T. Linde, determines all the wave speeds from the initial states because the middle wave is evaluated by the introduction of a generalized entropy function. The scheme is considered a genuine successor to the original HLL scheme because it is completely separated form the Roe's linearization scheme unlike the HLLE scheme and does not rely on the exact solution unlike the HLLC scheme. In this study, a numerical model was configured by the HLLL scheme with the total energy as a generalized entropy function to solve governing equations, which are the one-dimensional shallow water equations without source terms and with an additional conserved variable relating a concentration. Despite the limitations of the first order solutions, results to three cases with the exact solutions were generally accurate. The HLLL scheme appeared to be superior in comparison with the other HLL-type schemes. In particular, the scheme gave fairly accurate results in capturing the front of wetting and drying. However, it revealed shortcomings of more time-consuming calculations compared to the other schemes.

Understanding Scientific Research Lifecycle: Based on Bio- and Nano-Scientists' Research Activities (과학기술분야 R&D 전주기 연구 - 국내 생명 및 나노과학기술 연구자를 중심으로 -)

  • Kwon, Na-Hyun;Lee, Jung-Yeoun;Chung, Eun-Kyung
    • Journal of the Korean Society for Library and Information Science
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    • v.46 no.3
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    • pp.103-131
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    • 2012
  • This study aimed to identify the entire lifecycle of research projects in science and technology. Specifically, it attempted to reveal major research steps and research activities from the beginning to the end of R&D projects. It also investigated information needs, source use and problems scientists encounter in each research step. In-depth interviews with 24 Korean scientists in the fields of bio- and nano-science and technology revealed five major steps of lifecycle, namely idea formation, seeking funding, experiment and analysis, output disseminations, and evaluation. We further identified specific information behaviors and salient communication and research tools in each step.

Image Restoration of Remote Sensing High Resolution Imagery Using Point-Jacobian Iterative MAP Estimation (Point-Jacobian 반복 MAP 추정을 이용한 고해상도 영상복원)

  • Lee, Sang-Hoon
    • Korean Journal of Remote Sensing
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    • v.30 no.6
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    • pp.817-827
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    • 2014
  • In the satellite remote sensing, the operational environment of the satellite sensor causes image degradation during the image acquisition. The degradation results in noise and blurring which badly affect identification and extraction of useful information in image data. This study proposes a maximum a posteriori (MAP) estimation using Point-Jacobian iteration to restore a degraded image. The proposed method assumes a Gaussian additive noise and Markov random field of spatial continuity. The proposed method employs a neighbor window of spoke type which is composed of 8 line windows at the 8 directions, and a boundary adjacency measure of Mahalanobis square distance between center and neighbor pixels. For the evaluation of the proposed method, a pixel-wise classification was used for simulation data using various patterns similar to the structure exhibited in high resolution imagery and an unsupervised segmentation for the remotely-sensed image data of 1 mspatial resolution observed over the north area of Anyang in Korean peninsula. The experimental results imply that it can improve analytical accuracy in the application of remote sensing high resolution imagery.

Classification Analysis for Unbalanced Data (불균형 자료에 대한 분류분석)

  • Kim, Dongah;Kang, Suyeon;Song, Jongwoo
    • The Korean Journal of Applied Statistics
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    • v.28 no.3
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    • pp.495-509
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    • 2015
  • We study a classification problem of significant differences in the proportion of two groups known as the unbalanced classification problem. It is usually more difficult to classify classes accurately in unbalanced data than balanced data. Most observations are likely to be classified to the bigger group if we apply classification methods to the unbalanced data because it can minimize the misclassification loss. However, this smaller group is misclassified as the larger group problem that can cause a bigger loss in most real applications. We compare several classification methods for the unbalanced data using sampling techniques (up and down sampling). We also check the total loss of different classification methods when the asymmetric loss is applied to simulated and real data. We use the misclassification rate, G-mean, ROC and AUC (area under the curve) for the performance comparison.