• Title/Summary/Keyword: Jeongho Kim

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The characteristics of Lamb waves in a composite plate with thickness variation (두께변화가 있는 복합재 평판의 램파 전파특성)

  • Han Jeongho;Kim Chun-Gon
    • Composites Research
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    • v.18 no.2
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    • pp.46-51
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    • 2005
  • An active inspection system using Lamb waves for structural health monitoring was considered in this paper. In order to understand the characteristics of the Lamb waves propagating in a composite plate, the experiment was performed for a quasi-isotropic composite plate with thickness variation. Lamb waves were generated and received by the thin PZT transducers bonded on the surface. In this test, a simple new technique was tried for characterizing the Lamb waves propagating across the discontinuity due to the thickness variation. The results showed that Lamb waves were more sensitive to the thinner plate with faster group velocity and that the thickness change in composite plate was detectable. Consequently, the potential of applying this technique to structural health monitoring was verified.

A Comparison of the effects of Static Graphic and Animation in CAI by visual learning preference (시각적 학습 선호도에 따른 정화상 CAI와 애니메이션 CAI의 효과 비교)

  • Cha, Jeongho;Kim, Kyungsun;Noh, Taehee
    • The Journal of Korean Association of Computer Education
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    • v.7 no.5
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    • pp.1-8
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    • 2004
  • This study investigated the effect of visual learning preference levels in computer assisted instruction (CAI) using static graphics and animations on students' conceptual understandings, application abilities and learning motivations. Fifty-nine seventh graders were selected from a middle school in seoul, and they were taught about the motion of molecule for 4 class hours. Two-way ANCOVA results revealed that the scores of the conception test of the animations group, regardless of student's visual learning preference levels, were significantly higher than those of the static graphics group. However, there were no differences between the two groups in the scores of application test and learning motivation test.

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Numerical analysis on foam reaction injection molding of polyurethane, part B: Parametric study and real application

  • Han, HyukSu;Nam, Hyun Nam;Eun, Youngkee;Lee, Su Yeon;Nam, Jeongho;Ryu, Jeong Ho;Lee, Sung Yoon;Kim, Jungin
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.26 no.6
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    • pp.258-262
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    • 2016
  • Foam reaction injection molding (FRIM) is a widely used process for manufacturing polyurethane foam with complex shapes. The modified theoretical model for polyurethane foam forming reaction during FRIM process was established in our previous work. In this study, using the modified model, parametric study for FRIM process was performed in order to optimize experimental conditions of FRIM process such as initial temperature of mold, thickness of mold, and injection amount of polymerizing mixture. In addition, we applied the modified model to real application of refrigerator cabinet to determine optimal manufacturing conditions for polyurethane FRIM process.

Machine Learning-based Multiple Fault Localization with Bayesian Probability (베이지안 확률을 적용한 기계학습 기반 다중 결함 위치 식별 기법)

  • Song, Jihyoun;Kim, Jeongho;Lee, Eunseok
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2017.01a
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    • pp.151-154
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    • 2017
  • 소프트웨어의 개발과정 중 결함을 제거하는 작업인 디버깅을 위해서는 가장 먼저 그 결함의 정확한 위치를 찾아야한다. 이 작업은 많은 시간이 소요되며, 이 시간을 단축시키기 위한 결함 위치 식별 기법들이 소개되었다. 많은 기법들 중 프로그램 커버리지 정보를 학습하여 규칙을 분석하는 인공신경망 기반 선행 연구가 있다. 이를 기반으로 본 논문에서는 문장들 간의 관계를 추가적으로 파악하여 학습 데이터로 사용하는 기법을 제안한다. 특정 문장이 항상 지나는 테스트케이스들 중 나머지 다른 문장들이 지나는 테스트케이스의 비율을 통해 문장들 간의 관계를 나타낸다. 해당 비율을 계산하기 위해 조건부 확률인 베이지안 확률을 사용한다. 베이지안 확률을 통해 얻은 문장들의 관계에 따라 인공신경망 내에서 의심도를 결정하는 웨이트(weight)가 기존 기법과는 다르게 학습된다. 이 차이는 문장들의 의심도를 조정하며, 결과적으로 다중 결함 위치 식별의 정확도를 향상시킨다. 본 논문에서 제안한 기법을 이용하여 실험한 결과, Tarantula 대비 평균 39.8%, 기존 역전파 인공신경망(BPNN) 기반 기법 대비 평균 60.5%의 정확도 향상이 있었음을 확인할 수 있다.

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Low Temperature Processing of Nano-Sized Magnesia Ceramics Using Ultra High Pressure (초고압을 이용한 나노급 마그네시아 분말의 저온 소결 연구)

  • Song, Jeongho;Eom, Junghye;Noh, Yunyoung;Kim, Young-Wook;Song, Ohsung
    • Journal of the Korean Ceramic Society
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    • v.50 no.3
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    • pp.226-230
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    • 2013
  • We performed high pressure high temperature (HPHT) sintering for the 20 nm MgO powders at the temperatures from $600^{\circ}C$ to $1200^{\circ}C$ for only 5 min under 7 GPa pressure condition. To investigate the microstructure evolution and physical property change of the HPHT sintered MgO samples, we employed a scanning electron microscopy (SEM), density and Vickers hardness measurements. The SEM results showed that the grain size of the sintered MgO increased from 200 nm to $1.9{\mu}m$ as the sintering temperature increased. The density results showed that the sintered MgO achieved a more than 95% of the theoretical density in overall sintering temperature range. Based on Vickers hardness test, we confirmed that hardness increased as temperature increased. Our results implied that we might obtain the dense sintered MgO samples with an extremely short time and low temperature HPHT process compared to conventional electrical furnace sintering process.

Properties of the Natural and CVD Synthetic Diamonds for Identification (천연과 CVD 합성 다이아몬드의 감별을 위한 물성 연구)

  • Kim, Yunwoo;Song, Jeongho;Noh, Yunyoung;Song, Ohsung
    • Journal of the Korean Ceramic Society
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    • v.51 no.4
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    • pp.350-356
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    • 2014
  • Recently, Chemical Vapor Deposition (CVD) synthetic diamonds have been introduced to the jewelry gem market, as CVD technology has been making considerable advances. Unfortunately, CVD diamonds are not distinguishable from natural diamonds when using the conventional gemological characterization method. Therefore, we need to develop a new identification method that is non-destructive, fast, and inexpensive. In our study, we employed optical microscopy and spectroscopy techniques, including Fourier transform infra-red (FT-IR), UV-VIS-NIR, photoluminescence (PL), micro Raman, and cathodoluminescent (CL) spectroscopy, to determine the differences between a natural diamond (0.30 cts) and a CVD diamond (0.43 cts). The identification of a CVD diamond was difficult when using standard gemological techniques, UV-VIS-NIR, or micro-Raman spectroscopy. However, a CVD diamond could be identified using a FT-IR by the Type II peaks. In addition, we identified a CVD diamond conclusively with the uneven UV fluorescent local bands, additional satellite PL peaks, longer phosphorescence life time, and uneven streaks in the CL images. Our results suggest that using FT-IR combined with UV fluorescent images, PL, and CL analysis might be an appropriate method for identifying CVD diamonds.

Thermal Degradation of Aqueous MEA Solution for CO2 Absorption by Nuclear Magnetics Resonance (핵자기공명분석법을 이용한 수용성 아민 CO2 흡수제인 MEA의 열적변성 분석)

  • CHOI, JEONGHO;YOON, YEOIL;PARK, SUNGYOUL;BAEK, ILHYUN;KIM, YOUNGEUN;NAM, SUNGCHAN
    • Transactions of the Korean hydrogen and new energy society
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    • v.27 no.5
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    • pp.562-570
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    • 2016
  • At the carbon dioxide capture process using the aqueous amine solution, degradation of absorbents is main factor to reducing the process performance. Also, degradation mechanism of absorbent is important for understanding the environmental risk, route of degradation products, health risk etc. In this study, the degradation products of MEA were studied to clarify mechanism in thermal degradation process. The degradation products were analyzed using a $^1H$ NMR (nuclear magnetic resonance) and $^{13}C$ NMR. The analysis methods used in this study provide guidelines that could be used to develop a degradation inhibitor of absorbent and a corrosion inhibitor.

Wavelet transform-based hierarchical active shape model for object tracking (객체추적을 위한 웨이블릿 기반 계층적 능동형태 모델)

  • Kim Hyunjong;Shin Jeongho;Lee Seong-won;Paik Joonki
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.11C
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    • pp.1551-1563
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    • 2004
  • This paper proposes a hierarchical approach to shape model ASM using wavelet transform. Local structure model fitting in the ASM plays an important role in model-based pose and shape analysis. The proposed algorithm can robustly find good solutions in complex images by using wavelet decomposition. we also proposed effective method that estimates and corrects object's movement by using Wavelet transform-based hierarchical motion estimation scheme for ASM-based, real-time video tracking. The proposed algorithm has been tested for various sequences containing human motion to demonstrate the improved performance of the proposed object tracking.

A Technique for Test Case Prioritization based on IR using Bug Report (버그리포트를 이용한 정보검색 기반 테스트케이스 우선순위화 기법)

  • Ahn, June;Youm, Changsun;Kim, Jeongho;Lee, Eunseok
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.1023-1026
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    • 2015
  • 비용 효율적인 소프트웨어 유지보수 방안에 대한 기대가 높다. 본 논문에서는 유지보수 비용을 감소시키기 위해 회귀 테스트에 사용되는 테스트케이스를 효과적으로 우선순위화하는 방안을 제안한다. 테스트케이스를 우선순위화하는 방법으로는 코드의 커버리지를 이용해 테스트케이스의 우선순위를 높이는 방법과 모델 기반 테스트케이스 우선순위화 방법 등 여러 가지 방법이 제안되어 왔다. 본 논문에서는 소스코드, 커밋 로그와 버그리포트의 정보를 이용해 정보검색 기반의 테스트케이스 우선순위화 기법을 제안한다. 변경된 소스코드 이력은 새로운 기능의 업데이트 유무를 확인 할 수 있으며, 결함으로 수정된 파일을 추측할 수 있다. 버그 리포트는 소스코드의 결함에 대한 정보를 담고 있다. 제안한 방법의 유효성을 확인하기 위해 오픈소스 프로젝트(Joda-Time, Commons-Lang)를 이용해 실험을 진행하였다. 실험을 통해 소스코드, 커밋 로그와 버그리포트로 테스트케이스 우선순위화 방법의 유효성을 확인했으며, 버그리포트를 적용해 테스트케이스 우선순위화 기법을 이전 연구에 비해 최대 8% 향상된 결과를 확인 할 수 있었다.

A Study on Regularization Methods to Evaluate the Sediment Trapping Efficiency of Vegetative Filter Strips (식생여과대 유사 저감 효율 산정을 위한 정규화 방안)

  • Bae, JooHyun;Han, Jeongho;Yang, Jae E;Kim, Jonggun;Lim, Kyoung Jae;Jang, Won Seok
    • Journal of The Korean Society of Agricultural Engineers
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    • v.61 no.6
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    • pp.9-19
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    • 2019
  • Vegetative Filter Strip (VFS) is the best management practice which has been widely used to mitigate water pollutants from agricultural fields by alleviating runoff and sediment. This study was conducted to improve an equation for estimating sediment trapping efficiency of VFS using several different regularization methods (i.e., ordinary least squares analysis, LASSO, ridge regression analysis and elastic net). The four different regularization methods were employed to develop the sediment trapping efficiency equation of VFS. Each regularization method indicated high accuracy in estimating the sediment trapping efficiency of VFS. Among the four regularization methods, the ridge method showed the most accurate results according to $R^2$, RMSE and MAPE which were 0.94, 7.31% and 14.63%, respectively. The equation developed in this study can be applied in watershed-scale hydrological models in order to estimate the sediment trapping efficiency of VFS in agricultural fields for an effective watershed management in Korea.