• Title/Summary/Keyword: 젖음상태

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A Study on the Optical Properties by Material of Soft Contact Lens (소프트콘택트렌즈의 재료에 따른 광학적 특성에 관한 연구)

  • Son, Byeong-Ho;Jeong, Ju-Hyun
    • Journal of Korean Ophthalmic Optics Society
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    • v.14 no.2
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    • pp.27-30
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    • 2009
  • Purpose: Transmittance at UV-visible spectra range was measured to confirm the effect of wet/dry state of commercially available SCL on human eyes. Method: Commercially available five SCLs fabricated by different materials were selected to measure optical properties according to humidity. Results: A relatively high transmittance above about 80% in the visible spectra range of the SCLs were observed. In the UV spectra range, the wet samples showed higher transmittance than those dried except an unusual case. Conclusions: All the samples having a high optical properties in the visible spectra range exhibit a high transmittance in the UV region. Further research will be needed to develop new materials having a sharp absorption edge in the UV spectra range.

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A Study on the Wetting Properties of UBM-coated Si-wafer (UBM(Under Bump Metallurgy)이 단면 증착된 Si-wafer의 젖음성에 관한 연구)

  • 홍순민;박재용;박창배;정재필;강춘식
    • Journal of the Microelectronics and Packaging Society
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    • v.7 no.2
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    • pp.55-62
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    • 2000
  • The wetting balance test was performed in an attempt to estimate the wetting properties of the UBM-coated Si-wafer on one side to the Sn-Pb solder. The wetting curves of the one and both side-coated UBM layers had the similar shape and the parameters characterizing the curve shape showed the similar transition tendency to the temperature. The wetting property estimation was possible with the new wettability indices from the wetting curves of one side-coated specimen; $F_{min}$, $F_{s}t_{s}$ and $t_s$. For UBM of Si-chip, Au/Cu/Cr UBM was better than Au/Ni/Ti in the point of wetting time. The contact angle of the one side coated Si-plate to the Sn-Pb solder could be calculated from the force balance equation by measuring the static state force and the tilt angle.

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The Fluxless Wetting Properties of TSM-coated Glass Substrate to the Pb-free Solders (TSM(Top Surface Metallurgy)이 증착된 유리기판의 Pb-free 솔더에 대한 무플럭스 젖음 특성)

  • 홍순민;박재용;박창배;정재필;강춘식
    • Journal of the Microelectronics and Packaging Society
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    • v.7 no.2
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    • pp.47-53
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    • 2000
  • The fluxless wetting properties of TSM-coated glass substrate were evaluated by the wetting balance method. We could estimate the wettability of the TSM with new parameters obtained from the wetting balance test for one side-coated specimen. It was more effective in wetting to use Cu as a wetting layer and Au as a protection layer than to use Au itself as a wetting layer. The SnSb solder showed better wettability than SnAg, SnBi, and SnIn solders. The contact angle of the one side-coated glass substrate to the Pb-free solders could be calculated from the farce balance equation by measuring the static force and the tilt angle.

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The Method of Wet Road Surface Condition Detection With Image Processing at Night (영상처리기반 야간 젖은 노면 판별을 위한 방법론)

  • KIM, Youngmin;BAIK, Namcheol
    • Journal of Korean Society of Transportation
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    • v.33 no.3
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    • pp.284-293
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    • 2015
  • The objective of this paper is to determine the conditions of road surface by utilizing the images collected from closed-circuit television (CCTV) cameras installed on roadside. First, a technique was examined to detect wet surfaces at nighttime. From the literature reviews, it was revealed that image processing using polarization is one of the preferred options. However, it is hard to use the polarization characteristics of road surface images at nighttime because of irregular or no light situations. In this study, we proposes a new discriminant for detecting wet and dry road surfaces using CCTV image data at night. To detect the road surface conditions with night vision, we applied the wavelet packet transform for analyzing road surface textures. Additionally, to apply the luminance feature of night CCTV images, we set the intensity histogram based on HSI(Hue Saturation Intensity) color model. With a set of 200 images taken from the field, we constructed a detection criteria hyperplane with SVM (Support Vector Machine). We conducted field tests to verify the detection ability of the wet road surfaces and obtained reliable results. The outcome of this study is also expected to be used for monitoring road surfaces to improve safety.

A Development of The Road Surface Decision Algorithm Using SVM(Support Vector Machine) Clustering Methods (SVM(Support Vector Machine) 기법을 활용한 노면상태 판별 알고리즘 개발)

  • Kim, Jong Hoon;Won, Jae Moo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.12 no.5
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    • pp.1-12
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    • 2013
  • Road's accidents caused by Ice, snow, Wet of roads surface conditions and weather conditions situations that are constantly occurring. That is, driver's negligence and safe driving ability of individuals due to lack of awareness, and Road management main agent(the government and the public, etc.) due to road conditions, if there is insufficient information. So Related research needs is a trend that is required. In this study, gather Camera(Stereo camera)'s image data, and analysis polarization coefficients and wavelet transform. And unlike traditional single-dimensional classification algorithms as multi-dimensional analysis by using SVM classification techniques, develop an algorithm to determine road conditions. Four on the road conditions (dry, wet, snow, ice) recognition success rate for the detection and analysis of experiments.

The Effect of Coupling Treatment to Graphite on Injection Processing (Injection 공정시 흑연의 실란 Coupling 처리 효과)

  • 조광연;김경자;박윤창;정윤중;임연수
    • Journal of the Korean Ceramic Society
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    • v.38 no.7
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    • pp.608-614
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    • 2001
  • 수지결합질 탄소재의 사출성형시 중요한 요소는 열유변학적 거동이다. 수지결합질 탄소재의 열유변성, 기계적 물성은 충진제(흑연)의 표면상태에 영향을 받는다. Coupling 처리에 의한 충진제의 표면개질은 binder와의 젖음성과 호환성 등에 영향을 미쳐 수지결합질 탄소재의 특성을 향상시킨다. 본 연구에서는 충진제의 표면개질을 위해 실란 coupling 처리하였다. 충진제의 표면에 코팅된 실라놀은 FT-IR과 침수거동 관찰결과 충진제 표면에 단층으로 코팅되었음을 보였다. Coupling 처리는 충진제 표면에 활성을 가함으로써 수지결합질 탄소재의 열유변학적 거동과 기계적 물성에 기여하였다.

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The Study of Development Color-Mud For Diversifying Program of Boryeong Mud Festival (보령머드축제의 머드체험 다양화를 위한 유색머드의 개발)

  • Shim, Seung-Bo;Chun, Yong-Jin
    • Proceedings of the KAIS Fall Conference
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    • 2008.11a
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    • pp.368-370
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    • 2008
  • 대한민국 대표 축제로 자리 잡은 보령머드축제의 핵심 프로그램인 머드 셀프마사지 행사의 재미와 다양성을 부여하기 위하여, 색상이 함유된 머드에 관한 연구를 수행하였다. 머드 고유의 낮은 명도를 조절하고자 이산화티탄을 첨가하여 머드의 질감을 유지하면서 색상이 발현되는 이산화티탄의 함량을 실험하고, 결정된 혼합비율에 황색산화철을 첨가하여 색상의 발현도를 색차계, 육안검사, 사용감 등으로 판단하였다. 결정된 색상은 물에 젖음 시 발색정도와 세척상태를 검토하여 보령머드 축제 프로그램인 머드 셀프마사지 행사에 사용하여 축제의 다양성을 높이고 또한 한국의 고유색인 오방색을 나타낼 수 있는 유색머드를 개발하고자 하였다.

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Analysis of Initial Stage Influence for 2-Dimensional Finite Element Model (2차원 유한요소모형에 대한 초기수위 영향 분석)

  • Oh, Hyun-Uk;Kim, Sang-Ho;Kim, Sang-Bong;Han, Kun-Yeun
    • Proceedings of the Korea Water Resources Association Conference
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    • 2010.05a
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    • pp.194-197
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    • 2010
  • 국내 외에서 범용으로 사용되는 2차원 흐름모형은 모든 하천의 흐름을 자연스럽게 모의할 수 있는 것은 아니다. 하천의 수위가 수량의 변화와 함께 상 하로 변하면서도 동시에 단면의 형상에 따라 좌 우 물가의 경계도 변하게 되지만, 수치모의를 위한 2차원 고정망의 사용으로 흐름영역에 대한 정확한 반영이 어렵게 된다. 그러나 최근 흐름경계의 변화를 반영하기 위한 마름/젖음 해석기법에 관한 연구를 통해 이러한 문제를 극복할 수 있다. 2차원 유한요소모형이 가지는 또 다른 문제는 하천흐름에 대한 수치모의를 수행하기 위해 필요한 초기조건으로 인한 문제이다. 모형에 사용되는 초기수위는 일반적으로 일정한 수위를 사용하게 되는데, 이와 같은 초기수위 값의 사용은 하류단의 경계수위가 하천의 상류구간 하상고보다 낮을 경우 원활한 모형의 모의를 위해 초기수위를 모든 하상고보다 높게 주어야 한다. 실제 흐름상태가 그대로 반영되지 않는 비물리적인 상태에서 모형의 계산이 수행되게 된다. 본 논문에서는 2차원 유한요소모형의 초기수위를 고정값이 아니라 실제 하상고로 인해 발생 가능한 하천의 수면을 초기수위 자료로 사용하고자 하며, 이를 위해 2차원 하도망에서 1차원 하도자료를 추출할 수 있는 연계모듈을 개발하였다. 이를 통해 구축된 1차원 하도자료로부터 1차원 모의를 수행하여 그 결과를 2차원 모형의 초기수위로 사용하였다. 이에 대한 적용성을 살펴보기 위해 직사각형 가상하도에 적용하여 모형의 결과를 검토하였다.

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Estimation of Road Surface Condition during Summer Season Using Machine Learning (기계학습을 통한 여름철 노면상태 추정 알고리즘 개발)

  • Yeo, jiho;Lee, Jooyoung;Kim, Ganghwa;Jang, Kitae
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.17 no.6
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    • pp.121-132
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    • 2018
  • Weather is an important factor affecting roadway transportation in many aspects such as traffic flow, driver 's driving patterns, and crashes. This study focuses on the relationship between weather and road surface condition and develops a model to estimate the road surface condition using machine learning. A road surface sensor was attached to the probe vehicle to collect road surface condition classified into three categories as 'dry', 'moist' and 'wet'. Road geometry information (curvature, gradient), traffic information (link speed), weather information (rainfall, humidity, temperature, wind speed) are utilized as variables to estimate the road surface condition. A variety of machine learning algorithms examined for predicting the road surface condition, and a two - stage classification model based on 'Random forest' which has the highest accuracy was constructed. 14 days of data were used to train the model and 2 days of data were used to test the accuracy of the model. As a result, a road surface state prediction model with 81.74% accuracy was constructed. The result of this study shows the possibility of estimating the road surface condition using the existing weather and traffic information without installing new equipment or sensors.