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A new evaluation method of UV curing process by using electrical properties (I) (전기적 특성을 이용한 UV 경화 프로세스에 대한 새로운 평가방법(I))

  • Lee, Mun-Hag;Kim, Sung-Bin;Lee, Tae-Hoon;Park, Seong-Soo;Son, Se-Mo
    • Journal of the Korean Graphic Arts Communication Society
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    • v.21 no.2
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    • pp.55-65
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    • 2003
  • A novel evaluation method is investigated for UV curing process in printing system. The method is based on the measurement of conducivity change by the photopolymerization of UV curable inks and paints. It is found that the decrease of conductivity is caused by photopolymerization of epoxy monomer during UV curing process of ink film and the by the rate of UV curing. It is possible to make the dynamical evaluation the curing rate of UV curable ink in curing process by this method.

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Crosswalk Detection using Feature Vectors in Road Images (특징 벡터를 이용한 도로영상의 횡단보도 검출)

  • Lee, Geun-mo;Park, Soon-Yong
    • The Journal of Korea Robotics Society
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    • v.12 no.2
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    • pp.217-227
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    • 2017
  • Crosswalk detection is an important part of the Pedestrian Protection System in autonomous vehicles. Different methods of crosswalk detection have been introduced so far using crosswalk edge features, the distance between crosswalk blocks, laser scanning, Hough Transformation, and Fourier Transformation. However, most of these methods failed to detect crosswalks accurately, when they are damaged, faded away or partly occluded. Furthermore, these methods face difficulties when applying on real road environment where there are lot of vehicles. In this paper, we solve this problem by first using a region based binarization technique and x-axis histogram to detect the candidate crosswalk areas. Then, we apply Support Vector Machine (SVM) based classification method to decide whether the candidate areas contain a crosswalk or not. Experiment results prove that our method can detect crosswalks in different environment conditions with higher recognition rate even they are faded away or partly occluded.

Chronic pelvic pain arising from dysfunctional stabilizing muscles of the hip joint and pelvis

  • Lee, Dae Wook;Lim, Chang Hun;Han, Jae Young;Kim, Woong Mo
    • The Korean Journal of Pain
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    • v.29 no.4
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    • pp.274-276
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    • 2016
  • Chronic pelvic pain in women is a very annoying condition that is responsible for substantial suffering and medical expense. But dealing with this pain can be tough, because there are numerous possible causes for the pelvic pain such as urologic, gynecologic, gastrointestinal, neurologic, or musculoskeletal problems. Of these, musculoskeletal problem may be a primary cause of chronic pelvic pain in patients with a preceding trauma to the low back, pelvis, or lower extremities. Here, we report the case of a 54-year-old female patient with severe chronic pelvic pain after a transcutaneous electrical nerve stimulation (TENS) accident that was successfully managed with image-guided trigger point injections on several pelvic stabilizing muscles.

Quantitative Acetone PLIF Measurement of Fuel Distribution in a Gas Turbine Combustor Burner (아세톤 PLIF를 이용한 가스터빈 연소기 버너 출구 연료분포의 정량적 측정)

  • Jeon, Woo-Jin;Kim, Hyung-Mo;Lee, Kang-Yeop;Yang, Su-Seok
    • Journal of the Korean Society of Combustion
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    • v.15 no.4
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    • pp.43-52
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    • 2010
  • A non-intrusive measurement, Planar Laser Induced Fluorescence was employed to visualize and measure the fuel distribution of the non-reacting field at the burner exit of gas turbine combustor. Measurement techniques, image processing method and quantification procedure were presented. Also, concentration measurement with gas analyzer was carried out to verify the propriety of PLIF result. The PLIF result coincides well with gas analyzer measurement result. PLIF test result for several other conditions are mentioned as well.

Area-Focused Luminance Control Backlight for LCD TV applications

  • Hong, Hee-Jung;Kwon, Kyung-Joon;Choi, Jong-Hyun;Lee, Si-Hoon;Hwang, Hak-Mo;Lim, Moo-Jong;Oh, Eui-Yeol;Chung, In-Jae
    • 한국정보디스플레이학회:학술대회논문집
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    • 2005.07b
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    • pp.1157-1160
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    • 2005
  • In order to improve the image quality of a large size LCD-TV, the Area-Focused Luminance Control (AFLC) technology with data processing algorithm has been developed. The AFLC backlight consists of 16 U-shaped lamps, and controllable areas are divided into 8 blocks. Based on the AFLC technology, the backlight luminance of each block is automatically and separately controllable. Consequently, the contrast ratio is greatly enhanced whereas the corresponding power consumption is decreased as compared with those of conventional backlights.

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Development of the Lighting System Design Code for Computer Vision (컴퓨터 비전용 조명 시스템 설계 코드 개발)

  • Ahn, In-Mo;Lee, Kee-Sang
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.51 no.11
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    • pp.514-520
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    • 2002
  • n industrial computer vision systems, the image quality is dependent on the parameters such as light source, illumination method, optics, and surface properties. Most of them are related with the lighting system, which is designed in heuristic based on the designer's experimental knowledge. In this paper, a design code by which the optimal lighting method and light source for computer vision systems can be found are suggested based on experimental results. The design coed is applied to the design of the lighting system for the transistor marking inspection system, and the overall performance of the machine vision system with the lighting system show the effectiveness of the proposed design code.

Road Lane Segmentation using Dynamic Programming for Active Safety Vehicles

  • Kang, Dong-Joong;Kim, Jin-Young;An, Hyung-keun;Ahn, In-Mo;Lho, Tae-Jung
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.98.3-98
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    • 2002
  • Vision-based systems for finding road lanes have to operate robustly under a wide variety of environ-mental conditions including large amount of scene clutters. This paper presents a method for finding the lane boundaries by combining a local line extraction method and dynamic programming as a search tool. The line extractor obtains an initial position estimation of road lane boundaries from the noisy edge fragments. Dynamic programming then improves the initial approximation to an accurate configuration of lane boundaries. Input image frame is divided into a few sub-regions along the vertical direction. The local line extractor then performs to extract candidate lines of road lanes in the...

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A Study on the Propagation of Errors for the Analysis of Orientation in Aerial Photography (항공사진(航空寫眞)의 표정해석(標定解析)의 오차전파(誤差傳播)에 관(關)한 연구(硏究))

  • Yeu, Bock Mo;Lee, Kye Hak
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.2 no.1
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    • pp.81-92
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    • 1982
  • This study aimes at understanding the factors influencing poistion-determination by investigating the propagation of errors developed during orientation work in three-dimmensional coordinates of the aerial photograph. This paper treats the comparison and analysis of phopagation of errors due to computing orientation requited for the analysis of the absolute coordinate from the image coordinates of photograph.

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A Study on the Pests Analysis Techniques of Sands using by Image Processing(i) (영상처리기술을 이용한 모래 유해물질 분석기술에 관한 연구(i))

  • Park, Hyeon-Geun;Lee, Hee-Suk;Jang, Sung-Mo;Lee, Sang-Moon
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2011.01a
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    • pp.65-68
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    • 2011
  • 이 논문에서는 모래의 주성분을 분석하여 콘크리트 배합설계용의 적합성을 판별하는 시험방법을 제안한다. 주성분을 분석하는 방법은 자연모래와 부순 모래, 그리고 혼합모래에 포함된 유해물(점토, 마사토, 염화물)의 패턴을 분석하여 정지영상에서 유해물 비율을 나타내고자 한다. 영상으로 판독된 유해물 비율은 도로공사 품질시험기준에 의해 시험된 데이터와 비교하여 근접한 값을 도출해 내어 건설 자재인 모래에 섞여있는 유해물질을 검출해 내는 알고리즘을 제시한다.

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Smartphone Based FND Recognition Method using sequential difference images and ART-II Clustering (차영상과 ART2 클러스터링을 이용한 스마트폰 기반의 FND 인식 기법)

  • Koo, Kyung-Mo;Cha, Eui-Young
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.16 no.7
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    • pp.1377-1382
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    • 2012
  • In this paper, we propose a novel recognition method that extract source data from encoded signal that are displayed on FND mounted on home appliances. First of all, it find a candidate FND region from sequential difference images taken by smartphone and extract segment image using clustering RGB value. After that, it normalize segment images to correct a slant error and recognize each segments using a relative distance. Experiments show the robustness of the recognition algorithm on smartphone.