• KSTLE International Journal
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• 제3권2호
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• pp.75-78
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• 2002

The surface morphology of oil-lubricated surfaces fer hydraulic piston motors is believed to be extremely effective in contact mechanics, adhesion, friction and weak In order to describe morphology of various rubbed surfaces on driving conditions, the wear test was carried out under different experimental conditions in an oil-lubricated system. And fractal descriptors were applied to rubbed surfaces of hydraulic members and analyzed through an image processing system. These descriptors to analyze surface structure are fractal dimension. Surface fractal dimensions can be determined by sum of intensity difference of surface pixel. The morphology of rubbed surfaces can be effectively obtained by fractal dimension.

• 한국항만학회지
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• 제14권3호
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• pp.303-312
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• 2000

In this paper, we describe an image processing algorithm which is able to recognize the road lane. This algorithm performs to recognize the interrelation between AGV and the other vehicle. We experimented on AGV driving test with color CCD camera which is setup on the top of vehicle and acquires the digital signal. This paper is composed of two parts. One is image preprocessing part to measure the condition of the condition of the lane and vehicle. This finds the information of lines using RGB ratio cutting algorithm, the edge detection and Hough transform. The other obtains the situation of other vehicles using the image processing and viewport. At first, 2 dimension image information derived from vision sensor is interpreted to the 3 dimension information by the angle and position of the CCD camera. Through these processes, if vehicle knows the driving conditions which are lane angle, distance error and real position of other vehicles, we should calculate the reference steering angle.

• International Journal of Advanced Culture Technology
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• 제6권3호
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• pp.142-150
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• 2018

This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the edge orientation histogram and principle component analysis. By using the detected object region as a recognition input image, in this paper the object recognition method combined with principle component analysis and the multi-layer network which is one of the intelligent classification was suggested and its performance was evaluated. As a pre-processing algorithm of input object image, this method computes the eigenspace through principle component analysis and expresses the training images with it as a fundamental vector. Each image takes the set of weights for the fundamental vector as a feature vector and it reduces the dimension of image at the same time, and then the object recognition is performed by inputting the multi-layer neural network.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.339-339
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• 2000

In this parer, a method of measuring the size of defects on the wall and restructing the defect image of 3-dimension is developed based on the tracking algorithm of a camera position which uses the inclination angle of line slit beam for overcoming the difficulty of the corresponding problem identifying the image point in the both image. In the experiments, an algorithm for estimating the horizontal angle of CCD camera is presented and validated by applying it to the measurement of area and length under the variations of both the distance and the angle of CCD camera. And its performance is compared to that of the rotating and mapping method of image which has the Euclidian distance.

• 동서간호학연구지
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• 제9권1호
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• pp.83-90
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• 2004

Purpose: This study was to investigate the image of nurse perceives by students of elementary and middle schools in Seoul, Korea. Methods: The data were collected through questionnaire survey on 860 students. The survey was performed during May to Jun. 2003. The nurse image was analyzed through the instrument conceived by Il-Sim, Yang(1998) on the basis of four dimensions; traditional, social, professional and personal. The collected data analyzed using SPSS 11.0 with frequency, mean, standard deviation and t-test. Results: The results of this study were as follows. 1. There was a significant difference in the nurse's image between elementary and middle school students(p=.000), and the elementary students had more positive image. 2. The nurse's image of elementary school students had more positive than middle school students in traditional(p=.000), social(p=.000), professional(p=.000) and personal dimension(p=.015). In elementary school students, score of nurse's image was the highest in personal dimension, followed by traditional, professional and social in order. In middle school students, score of nurse's image was the highest in personal dimension, followed by professional, traditional and social in order. 3. The difference of nurse's image not showed statistical significance in sex, religion, experience of hospitalization(self), experience of hospitalization (family), nurses in family by general characteristics. Conclusion: As a result, elementary school student had more positive nurse's image than middle school student in all the aspects. But as they grow old, it changed negative. It is required to develop public information or education fit with student's age to image making by broadcasting and to improve the image nurses themselves.

• 자연과학논문집
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• 제7권
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• pp.67-73
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• 1995

본 논문에서는 인간시각 시스템의 특성을 이용하여 세그멘테이션을 행하는 새로운 텍스처 세그멘테이션 영상코딩 기술을 제안한다. 제안된 방법은 영상을 HVS가 인지한 러프니스 정도에 관하여 영상을 텍스처와 같은 성질의 영역으로 세그멘테이션하는 방법론을 제안하여 상 세그멘트를 갖는 세그멘테이션 영상코딩기술의 문제점을 해결한다. 세그멘테이션은 텍스처 영역을 3 가지의 다른 텍스처 크래스(인간이 인지한 상 인테셔티, 부드러운 텍스처 및 거칠은 텍스처)로 구분하기 위해서 프락탈 디멘션을 임계하여 얻는다. 프락탈 디멘션을 근사하기 위한 적당한 브락 크기를 결정하는 것이 중요하다. 좋은 화질을 갖는 재생 영상은 여러 종류의 영상에 대해서 약 0.1에서 0.25 비트/픽셀에서 얻는다.

• 한국의류학회지
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• 제44권3호
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• pp.413-426
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• 2020

This study researches the association between associative vocabulary and fashion image language in order to extract ideas that can be used as basic data for design ideas. Classic - avant-garde imaged language were chosen as theme words and each 70 questionnaires per a final image word were used for analysis. We obtained the following results by researching keywords that explained classic image words through a word cloud technique. It was found to have high central representation in the order of suit, classical, basic, music, Chanel, black and traditional. The core key words explaining avant-garde image language were found to have a central representation in the order of : peculiar, huge, Comme des Garçons, artistic, creative, deconstruction and individuality. We extracted the necessary idea dimensions needed for design ideas through associative network graph analysis. In the case of classical image language, it was named as the Mannish Item, Music, Modern Color, and the Traditional Classicality dimensions. In the case of avant-garde image language, it was named as the Key Image, Artistic Aura, Key Design and Designers dimensions.

• 한국게임학회 논문지
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• 제13권3호
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• pp.131-140
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• 2013

본 논문은 디지털 영상매체의 발달함에 따라 주목받고 있는 3차원 입체영상 제작방법에 있어서 가장 먼저 개발되어진 애너글리프 방식을 이용하여 마야 프로그램에서 제작되어진 3D 입체영상 애니메이션 '이그드라씰'을 분석하였다. 이 작품에서 사용한 애너글리프 방식은 3D 입체영상을 비교적 쉽게 제작할 수 있으며 색상의 차이를 이용하여 분리된 영상을 통해 입체감을 효과적으로 표현할 수 있었다. 또한 시지각 이론을 적용한 공간연출은 작품에서의 필요한 거리감과 깊이감 그리고 속도감을 표현하는데 효과적 이였다.

• 한국인쇄학회지
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• 제16권3호
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• pp.97-108
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• 1998

Spectral reflectance of the object should be measured to predict the color of object under various illuminants. The spectral reflectance can be represented in a multi-dimension space. Generally the information of inputed image by digital camera and color scanner is represented with 3-dimension color signals such as RGB. In other to predict the color of inputed image under any illuminant, we should be estimated spectral reflectance of the object. In this paper, we described the method to predict spectral reflectance by einenvector using the skin color of printed image, confirmed availability and propriety through experiment. we estimated spectral reflectance of skin color taken by RGB color signals and than reproduced skin color according to various illuminants on CRT.

• 치과방사선
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• 제9권1호
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• pp.19-23
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• 1979

A study was made primarily to investigate vertical and horizontal distortion of the image at the apical region of the dental roots in orthopantomographs. The subjects consisted of two dry skulls with radiopaque materials attached to root surface. Measuring of the width and length of each predetermined point at 23 teeth was performed in dry skulls and radiographic films. The results obtained were as follows; 1. There was overall magnification of image in the vertical dimension. And anterior portion had greater magnification rate than posterior portion, while lower anterior portion had less magnification rate than upper anterior portion. 2. There was reduction of the image in the horizontal dimension of the teeth, because of the position relation between dry skull and image layer of the orthopantomograph. 3. There was a significant difference in distortion rate between the oposite teeth. 4. Cervical portion of the tooth had more decreased rate of horizontal distortion than apical portion.