• Journal of dental hygiene science
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• v.7 no.2
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• pp.101-106
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• 2007

This research was based on self-filling survey which 128 dental hygienists who work in dental clinic and dental hospital on May 2006 through July 2006. This survey was analyzed the prevention against virus infection in dental hygienist at medical treatment. As follows analyzed results The experience of get a hand pricked by an infected needle rate is 76.6 percent and the majority of the dental hygienist are sterilize by disinfectant after wash hand and draw blood. The most of dental hygienist are experienced the education of the prevention infection in student and they think that It is necessary to prevention infection in medical treatment. The proportion of use the glove and mask in medical treatment and disuse the glove after medical treatment and the mask when mask get damped is high but the rate of put on the goggle in medical treatment and use the glove in washing and re-treat is low irrespective of age, clinical career, work place. As a result of Independent-sample T Test, the Hygienist who have experience the education of the prevention against virus infection are more excellent work than in-experience group in medical treatment. So we can find that the experience of the education of the prevention infection is very significant to prevention infection in dental hygienist.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.661-663
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• 2016

Corruption occurs in the process of processing image signal and the corruption changes the pixel value within the image to damage the original information. AWGN(additive white Gaussian noise) is a representative example. For filters to remove AWGN, there are filters such as MF(mean filter), WF(wiener filter), and AWMF(adaptive weighted mean filter). However images processed through standard previous filters lock preservation characteristics in edge areas. Therefore, threshold value is applied for processing on the standard deviation of the local mask in this study and if the standard deviation is smaller than the threshold value, it is not filtered and if the value is bigger than the threshold value, the study suggested an algorithm that processes using weighted value utilizing standard deviation.

• Proceedings of the Materials Research Society of Korea Conference
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• 2009.05a
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• pp.12.2-12.2
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• 2009

전자 디스플레이 산업의 중요성과 미래사회에서 요구되는 정보기기로써 유연한 기판을 사용한 소자에 대한 수요가 급격히 증가하고 있으며, 이들 산업에 응용되기 위해서는 저비용, 고생산 공정이 요구되고 있다. 이를 위해 인쇄전자 기술에 대한 연구가 활발히 진행되고 있다. 특히, 금속배선은 모든 소자의 기본이면서 낮은 저항과 높은 신뢰성을 동시에 요구하고 있어 인쇄전자 기술이 해결해야 할 가장 어려운 난제 중의 하나이다. 따라서 본 연구에서는 낮은 저항과 높은 신뢰성을 만족시킬 수 있는 새로운 금속배선 공정으로서 폴리이미드 필름을 초발수 처리한 후 친수 패턴을 하여 전도성 잉크에 함침함으로서 친수 패턴을 따라 금속배선이 이루어 지도록 하는 방법을 제안하고자 한다. 폴리이미드 필름의 표면을 플라즈마 처리하여 표면에 나노돌기를 형성시키고 불소기를 함유한 코팅층을 형성시킴으로써 물에 대한 접촉각이 $150^{\circ}$이상이 되도록 초발수 처리할 수 있었다. 초발수 처리된 폴리이미드 기판에 쉐도우 마스크를 사용하여 UV조사함으로써 조사된 부분만 친수성을 가지는 패턴을 형성하였다. 이렇게 친수 패턴이 제작된 초발수 폴리이미드 유연기판을 실버잉크에 함침함으로써 선폭 $200{\mu}m$를 가지는 금속배선을 형성시켰다. 형성된 금속배선의 단면 형상을 측정하였으며, 열처리를 통하여 비저항이 $30{\mu}{\Omega}$-cm를 얻을 수 있었다. 통상 1회의 함침으로는 금속배선의 두께가 150nm정도로 금속배선으로 사용하기에는 얇아 배선의 두께를 증가시키기 위하여 수 회 함침을 시도하여 $2{\mu}m$의 두께로 증가시킬 수 있었다. 이때 선폭과 선간 간격은 크게 변하지 않고 두께만 증가시킬 수 있었다. 이는 금속배선을 형성한 후에도 폴리이미드 유연기판의 초발수성은 그대로 유지되어 여러번 함침할 때 잉크가 이미 형성된 배선에만 묻게 되어 두께는 증가하나 선폭과 선간 간격은 증가하지 않는 것으로 판단된다. 사용한 실버잉크는 실버의 함량은 10~20wt%인 수계 잉크였다.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.5
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• pp.1051-1058
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• 2018

This paper propose image processing algorithm to prevent safety accidents near by subway platform screen door(PSD). First, edges of the subway PSD images are detected and the boundary line between PSD and subway platform is detected to decide people's approach to the PSD using Hough transform. To do this, we draw the boundary line between the PSD and platform, to detect the boundary line and to decide the people's approach to the detected line is completely connected or not. Generally, edge is the basic characteristic of image; thus, edge detection is very important in image processing applications and computer vision area. The conventional edge detection methods such as Roberts, Sobel, Prewitt, and Laplacian etc, which are using a fixed value of mask, and morphological gradient from the structuring element of view and Canny edge detector are widely used. In this paper, we propose the detection algorithm about the people's approach to the subway PSD to prevent the safety accidents by using Canny edge detector and Hough transform and the computer simulation shows the results.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.3
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• pp.594-601
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• 2009

Shooting simulation systems not only reduce a great amount of expense and time for military exercises but also prevent accidents. In particular, the shooting simulation systems using laser beam have an advantage which is very similar to the shooting exercise that uses real bullets. However, real time technique for laser beam recognition in a target image is necessary. The method proposed in this paper takes a difference image from two adjacent image frames. Then a thresholding is applied on this difference image to discriminate laser beam from background. To decide the threshold value the intensity distribution of background points is modeled assuming normal distribution. Then a noise reduction and a region segmentation are applied on the binary image to find the position of a laser beam. The time complexity of this process depends on the size of an image multiplied by the size of a mask used in the noise reduction process. The experimental result showed that the accuracy of the system was 93.3%. Even in the inaccurate cases the beam was always found in the resultant region.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2006.05a
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• pp.346-351
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• 2006

본 논문은 콘크리트 표면 균열 영상에서 균열의 특징을 추출하기 위해, 영상 처리 기법을 적용하여 균열의 특징(길이, 폭, 방향)을 자동으로 추출 및 처리 할 수 있는 기법을 제안한다. 본 논문에서 적용된 영상 처리 기법으로는 균열 영상의 빛을 보정하기 위하여 모폴로지 기법인 채움(Closing)기법을 적용한다. 균열의 경계를 명확히 추출하기 위하여 고주파 강화 필터링을 적용한 후, 8가지 색상(검정, 빨강, 파랑, 초록, 노랑, 자주, 주황, 하늘)으로 명암 값을 분류하고 그 중 빈도수가 가장 높은 색상을 가진 명암 값을 제거한 후에 추출한 영상을 이진화한다. 이진화된 영상에서 콘크리트 표면 균열의 실거리 측정을 위한 임의의 선을 제거하기 위하여 위치 히스토그램을 적용하여 임의의 선을 제거한다. 임의의 선이 제거된 균열 영상에서 $5\times5$ 마스크를 적용하여 균열을 확대시키고, 3차례에 걸쳐 잡음 제거연산을 수행하여 균열의 후보 영역을 선택한 후, 후보 영역으로부터 특정 균열들을 추출한다. 추출된 특정 균열을 모폴로지 기법인 제거(Opening) 연산을 수행하여 균열의 특징이 일정하게 유지되게 하고 미세하게 끊어진 부분을 보정하여 균열의 특징(길이, 방향, 폭)을 측정한다. 실제 콘크리트 표면 균열영상을 대상으로 실험한 결과, 특정 균열이 효율적으로 추출되었고, 특정 균열의 길이, 방향, 폭의 등이 정확히 추출 및 계산되었다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.7
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• pp.1687-1693
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• 2015

Recently, demand for digital image processing devices increases rapidly, more clear images have been required. But, in the process of digital image acquisition, processing and transmission, image degradation occurs due to various external reasons and researches about noise reduction are on the rise. Therefore, this study suggested the algorithm to process AWGN(additive white Gaussian noise) by separately processing as three levels according to the pixel distribution in the mask in order to remove AWGN(additive white Gaussian noise) which is added in the image. Regarding the processed results by applying Barbara images which were damaged by AWGN(σ = 15), suggested algorithm showed the improvement by 2.87[dB], 2.95[dB], 2.88[dB], 1.52[dB], 1.49[dB], 1.58[dB] and 1.25[dB] respectively compared with the existing MF(5 × 5), A-TMF(5 × 5), AWMF(5 × 5), MF(3 × 3), A-TMF(3 × 3), AWMF(3 × 3), GF(5 × 5).

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.1
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• pp.8-14
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• 2005

The implementation of vision system using CCD camera which measures the earing rate of aluminium CAN is represented in this paper. In order to optimize the input image, the object of the input image is separated and the position of the image is calibrated. In the preprocessing, the definition of image is improved by the histogram equalization, and then the edges of the input image are detected by the Robert mask. The heights of the four ears and angles of the aluminium CAN are measured manually with the digital vernier calipers in industry. It takes 30 seconds to measure manually the height of one direction of the aluminium CAN at least three times. However, when the proposed system in this paper is applied, it takes 0.02 seconds only. In conclusion, the efficiency of the proposed system is higher than that of the system used in the industry.

• Journal of the Institute of Convergence Signal Processing
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• v.20 no.3
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• pp.125-131
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• 2019

Through the 4th Industrial Revolution, various digital equipments are being distributed, and accordingly, the importance of data processing is increasing. As data processing has a great effect on the reliability of equipment, its importance is increasing, and various studies are being conducted. In this paper, we propose an algorithm to remove AWGN in consideration of the noise in the image. The proposed algorithm is used in the filtering process by inferring the standard deviation of the image noise. The noise is removed by dividing the filter for the high frequency component and the filter for the low frequency component compared with the standard deviation of the filtering mask. The proposed algorithm is simulated with the existing methods for evaluation and compared and analyzed by difference image, PSNR and profile. The proposed algorithm minimizes the effect of noise and preserves the important characteristics of the image and shows the performance of efficient noise removal.

• The KIPS Transactions:PartB
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• v.9B no.5
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• pp.681-688
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• 2002

This paper proposes a system detecting the area of traffic sign, which uses color rate as the information of colors, and corner point and distance rate as the information of morphology. In this system, a candidate area is extracted by performing dilation operation on the binary image made by the color rate of R, G, B components and by detecting corner point and center point through mask. The area of traffic sign with varied shapes is extracted by calculating the distance rate from center point, which is the information of morphology. The results of this experiment demonstrate that in this system which is invariable regardless of its size and location, it is possible to extract the exact area from varied traffic signs such as the shapes of triangle, circle, inverse triangle, and square as well as from the images at both day and night when brightness value is greatly different. Moreover, it demonstrates great accuracy and speed in processing.