• Proceedings of the Korean Radioactive Waste Society Conference
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• 2004.06a
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• pp.316-317
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• 2004

사용후핵연료를 이용한 건식 핵연료 원격 제조 공정중 OREOX공정으로부터 핵분열기체 방출특성 평가를 위한 실험을 수행하였다. 사용후핵연료 분말화 공정인 1차 산화 및 OREOX공정에서 방출되는 핵분열기체를 실시간으로 측정할 수 있는 장치를 제작$\cdot$설치하였으며, 측정 대상 핵분열기체는 Kr-85를 포함하여 C-14$^{14}CO_2$ 형태), I-129, 기체상 트리튬 등이다. 그림 1은 방출되는 핵분열기체를 포집 또는 연속측정하기 위한 개념도이며, 그림 2는 핫셀구역에 설치된 장치 사진이다.(중략)

• Archives of design research
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• v.17 no.2
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• pp.221-230
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• 2004

Existing usability testing method, particularly lab-based usability testing, has been widely implemented for development of user interface. However, the method has critical disadvantages such as high cost, time and effort, unnatural testing environment, and lack of user's direct participation in information architecture. With these backgrounds, this paper aims to develop the web-based participatory tool with particular focus on card sorting. Our tool was developed for allowing user to participate in card sorting with his own computer through web. All the data generated while user is participating in the test are automatically sent to the server, which makes it very easy to collect card sorting data. Users can drag cards of interface elements directly and build the interface structure in their own from their computer-screen so that they can represent their mental models on interface structure of testing website. These functions of our tool can help designers to implement card sorting without tedious and time consuming procedures and improve the method of usability testing by reinforcing user's active participation in building an information architecture.

• Proceedings of the Korean Information Science Society Conference
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• 2003.10b
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• pp.688-690
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• 2003

본 논문에서는 다해상도 2차원 실루엣 영상들을 이용하여 3차원 모델간의 형상 유사성을 비교하기 위한 방법을 제안한다. 제안 시스템은 포즈 정규화 모듈, 유사성 계산 모듈, 3차원 시각화 모듈로 구성된다. 형상 비교를 위해서 먼저, 3차원 인체 장기 모델을 입력으로 받아서 정규화를 수행하고, 다해상도 깊이맵을 획득한다. 이어서 유사성 비교를 위해 실루엣 영상을 추출한 후, 유사도 측정을 위해 시그니쳐를 측도로 사용한다. 최종적으로 계산된 결과들은 3차원 글리프 및 컬러 코딩을 이용하여 시각화된다. 본 논문에서 제시한 3차원 형상 비교 시스템은 전처리 단계에서의 정규화 수행을 통하여 스케일 및 회전 변환에 불변하는 특성을 보인다. 그리고 다양한 레벨의 깊이맵을 형상 비교에 사용하여 다해상도 기반의 유사성 평가를 지원하며, 평가 계산 속도와 정확성간의 유연성을 제공한다. 또한 3차원 히스토그램. 3차윈 글리프. 컬러 코딩 시각화 기법들과 2차원 실루엣 피킹 인터페이스를 통하여 인체 장기 모델간의 정량적 형상 차이를 사용자가 직관적으로 평가할 수 있도록 한다. 본 시스템은 차후 데이터베이스를 이용한 원격 진료 시스템에서의 질병 진단, 추적 관찰. 치료계획 등에 활용될 수 있을 것이다.

• Proceedings of the Korea Information Processing Society Conference
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• 2007.05a
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• pp.1502-1505
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• 2007

인터넷 및 네트워크 환경의 비약적인 발전으로 기업체의 모든 기반 Application은 사용의 편리함과 시스템 및 데이터관리의 용이성 때문에 웹 기반모델로 변경되어 사용되고 있다. 그러나, 산업현장설비를 실시간 원격제어 감시하는 시스템인 SCADA(Supervisory Control and Data Acquisition)는 웹의 여러 한계성 때문에 아직까지 기존 Client-Server 모델로 대부분 활용되고 있다. 본 논문에서는 이러한 웹의 한계성 중 Client 시스템의 실시간 통신 방식 및 속도, 부하 등을 기존 Client-Server 방식과 동일한 성능을 갖도록 설계 구현하여 적용하고 성능을 평가 하였다.

• Korean Journal of Remote Sensing
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• v.26 no.1
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• pp.29-38
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• 2010

It is necessary to develop an integration model which can account for various data acquired at different measurement scales in environmental thematic mapping with high-resolution ground survey data and relatively low-resolution remote sensing data. This paper presents and applies a multi-scale geostatistical methodology for downscaling of thematic maps generated from lowresolution remote sensing data. This methodology extends a traditional ordinary kriging system to a block kriging system which can account for both ground data and remote sensing data which can be regarded as point and block data, respectively. In addition, stochastic simulation based on block kriging is also applied to describe spatial uncertainty attached to the downscaling. Two downscaling experiments including SRTM DEM and MODIS Leaf Area Index (LAI) products were carried out to illustrate the applicability of the geostatistical methodology. Through the experiments, multi-scale geostatistics based on block kriging successfully generated relatively high-resolution thematic maps with reliable accuracy. Especially, it is expected that multiple realizations generated from simulation would be effectively used as input data for investigating the effects of uncertain input data on GIS model outputs.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.137-156
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• 2008

The purpose of this study is to implement evaluation on domestic cyber University web site to analyze web usability and web accessibility in order to present how much cyber University provides various personalized services and qualitative contents to users on web site. And also with this result, I hope to contribute in qualitative development of web site and reliability of remote education. For this purpose, I developed checklist suitable to remote University by applying SM-ABCDE assessment method of Moonhyeongnam, the professor in Sookmyung Women's University, and implemented evaluation on web sites of 17 cyber University over the five aspects of attraction, business, contents, design, and engineering. As the result of this study, it was found that Busan Digital University was best in the respect of attraction, both Kyunghee Cyber University and Cyber University of foreign studies were best in the respect of business, Kyunghee University was best in the respect of contents, and Hanyang Cyber University was best in the respect of design. It was also evaluated in the comprehensive view and the order was found that Kyunghee Cyber University, Busan Cyber University, and Hanyang Cyber University. However in the respect of engineering, it came out that all the sites did not observe the regulation on web accessibility. If domestic Cyber Universities are to observe the regulation on web accessibility with the long term view, on the base of this study, web usability would be increasing. Then they can secure various classes of customers as well as ordinary people so that they will be able to take the real place of educational institution orienting the most advanced educational method in the society of knowledge and information in addition to advance in themselves.

• Journal of Sensor Science and Technology
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• v.5 no.5
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• pp.55-62
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• 1996

This paper describes development of Polarized Stereo Monitoring System (KAERI-PSM) and compares the remote handling performance of KAERI-PSM with that of other monitoring systems, electric shutter type stereo monitoring system and general TV monitoring system. Remote handling performance is evaluated by total time and error number on remote operating experiments. Four kinds of remote handling experiments are carried out through 1) directly 2) general TV 3) electric shutter type monitor, and 4) KAERI-PSM. In these experiments six employees are participated and PUMA robot with force-torque reflectional joystic is used. The result of experiments show that camera angle against object is significant factor in monitoring and stereo monitoring system give more performance benifits in terms of accuracy and speed of remote handling operation than general TV monitoring system. In comparision of the polarized and electric shutter type stereo monitoring system, both have similar accuracy and speed for remote handling operation, but the former is superior in image quality and stability of the performance.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.403-408
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• 2020

This paper is to evaluate the usability of two representative video meeting services currently used by university for research to improve the quality of university remote lecture. questionnaires based on Kano Model were designed and in-depth interviews were conducted to provide qualitative approaches. Screen-sharing functions, the one-dimensional functions was the most important function. and attractive functions had relatively diverse directions. For essential functions, there was a wide gap in quality due to user-specific equipment. The function in which other platforms exist or business-related was not important. Webex reacted negatively to the aging UI, while Zoom responded negatively to the unilateral mute function. In addition, the development direction was presented in five ways as a result of analysis of these results. under Corona-19 situation, I hope this study will lead to continuous research to make stepping stone for remoted educational development.

• Journal of the Korean Society of Hazard Mitigation
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• v.6 no.3 s.22
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• pp.17-28
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• 2006

Structural health monitoring is important to maintain the safety and serviceability of the structures. The displacement in the structure should be precisely and frequently monitored because it is a direct assessment index indicating its stiffness. However, no practical method has been developed to monitor such displacement precisely, particularly for high-rise buildings and long span bridges because they cannot be easily accessible. To overcome such difficult accessibility, we propose to use a LIDAR system that remotely samples the surface of an object using laser pulses and generates the coordinates of numerous points on the surface. In this study, using terrestrial LiDAR, we develop a novel displacement measuring model for structural health monitoring and perform an indoor experiment to prove its performance.

• Korean Journal of Remote Sensing
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• v.39 no.5_1
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• pp.621-635
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• 2023

The assessment of structural condition is a crucial process for evaluating its usability and determining the diagnostic cycle. The currently employed manpower-based methods suffer from issues related to safety, efficiency, and objectivity. To address these concerns, research based on deep learning using images is being conducted. However, acquiring structural damage data is challenging, making it difficult to construct a substantial amount of training data, thus limiting the effectiveness of deep learning-based condition assessment. In this study, we propose a foundation model-based 2-step structural damage analysis to overcome the lack of training data in image-based structural condition assessments. We subdivided the elements of structural condition assessment into instantiation and quantification. In the quantification step, we applied a foundation model for image segmentation. Our method demonstrated a 10%-point increase in mean intersection over union compared to conventional image segmentation techniques, with a notable 40%-point improvement in the case of rebar exposure. We anticipate that our proposed approach will enhance performance in domains where acquiring training data is challenging.