• 복식
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• 제61권10호
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• pp.32-41
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• 2011

The purpose of this study is to prove an importance of systemic analysis paradigm to interpret fashion make-up. This research employed 'paradigm for interpretation of fashion make-up signs' theory to analyze data. This theory consists of three steps to interpret the meaning of a work: (1) recognition of form, (2) analysis of connotation meanings, and (3) analysis of symbolic meanings and communication. The results of this study were as follows. Jean Paul Gaultier's eye make-up uses a square pattern that mostly consists of the color black. He presents a Glam Rock image by using rimmed make-up that portrays an avant-garde and a nonmainstream culture. Jean Paul Gaultier's make-up was showing black color and square eye pattern and was presenting Glam Rock image and was a rimmed make-up meaning a nonmainstream culture and Avant-garde symbolically. Chanel's make-up emphasizes the eyehole with the rimmed technique by applying the make-up of Marchesa Casati and including non-popularity, Limited Marketing symbolically. Christian Dior's make-up applies the representative make-up of Joan of Arc and Siouxsie sioux and also uses rimmed make-up to portray the meaning of religion persecution, the dark-ages militarism and including Humanism symbolically.

• 한국의류학회지
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• 제24권2호
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• pp.214-225
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• 2000

The objective of this study was to investigate images of Korean traditional patterns. The subjects consisted of 369 male and 356 female undergraduate students. The experimental materials used in this study were 48 stimuli and questionnaires, composed of 7-point semantic differential scales of 23 bipolar adjectives. Twelve motifs selected from 3 groups of Korean patterns were used as motif stimuli. Twelve repeated patterns were constructed from them to be applied on a CAD-simulated dress. The data was analyzed by factor analysis, ANOVA, Duncan's multiple range test. The major findings were as follows: 1. Four dimensions were emerged accounting for the dimensional structure of the images of Korean traditional patterns. These dimensions were 'simplicity', 'quality', 'interest', and 'modernity' dimension. Among them, 'simplicity' and 'quality' were the major dimensions. 2. Category, interpretation type, composition type, and application object of motif had significant effects on the images of above-mentioned dimensions. The application object had a significant effect on 'simplicity' and 'modernity' image, and the composition type on 'quality' and 'interest' image.

• 한국방사선학회논문지
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• 제17권1호
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• pp.131-139
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• 2023

본 연구에서는 3D 프린팅 구조물 기반 블라인드박스를 이용한 실습교육이 다차원 방사선영상해독력에 미치는 교육적 효과를 알아보고자 하였다. 대상은 2020년부터 2022년까지 3년간 진행된 디지털의료영상학 실습에 참여한 방사선학과 2학년의 83명(남자: 49명, 여자: 34명)이었다. 학습방법은 3D 프린팅 기술을 이용하여 자체 설계한 블라인드박스 내 구조물을 출력하였다. 이를 엑스선 촬영한 한 후 소그룹별로 블라인드박스 내 구조물영상을 분석한다. 분석 결과로 3차원구조물을 지점토로 자체 제작하고 엑스선 촬영한 후 블라인드박스 내 구조물영상과 일치하는지 비교한다. 평가방법은 수업성실도(평소 수업태도, 예·복습 정도, 학습목표이해도), 방사선영상해독력(엑스선감쇠개념, 대조도개념, 윈도우닝개념, 3차원해독력), 수업만족도(흥미도, 외부추천도, 수업몰입도)를 5점 리커트 척도로 무기명 자기 기입방식으로 설문조사하였다. 그 결과 모든 평가항목이 남녀 간의 유의한 차이 없이 높은 긍정적인 효과가 있었다. 블라인드박스를 이용한 실습교육은 3D 프린팅 기술을 활용한 방사선교육공학의 의미있는 사례로써 학생들의 문제해결능력 향상과 전공과목의 만족도를 증대시키는 콘텐츠로 활용되기를 기대한다.

• 한국컴퓨터정보학회논문지
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• 제16권4호
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• pp.23-28
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• 2011

본 논문에서는 복부의 초음파 영상을 확대할 경우에 발생하는 영상의 품질 저하를 최소화하기 위하여 원본 영상과 확대된 결과 영상 간의 명암도 차이와 보간 수행 시에 적용되는 가중치 값을 퍼지 기법에 적용하여 영상을 확대하는 방법을 제안한다. 제안된 방법은 기존의 양선형 보간법으로 도출된 결과 영상의 픽셀과 원본 영상 픽셀 간의 명암도 차이와 보간 수행시에 네 개의 픽셀 값에 곱하게 되는 가중치 값을 퍼지 소속 함수에 적용하여 원본 영상의 픽셀 정보와 가장 근접한 특징을 가진 확대된 결과 영상의 픽셀 정보를 도출한다. 제안된 방법을 실험한 결과, 기존의 양선형 보간법에 비해 복부의 초음파 영상을 확대할 때 발생하는 흐림 현상이 상대적으로 감소하여 영상의 품질이 개선되는 것을 확인하였다.

• 대한한의학회지
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• 제20권2호
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• pp.157-164
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• 1999

This study focused on the method of interpreting Moire's topography. There has been no standard of interpretation which informed, this study, The conclusions arc as follows: Miore's image closed contour lines which is consisted of points. These points in one contour have the same distances from the screen to the patient's back. Moire's index means the number of contour gaps from symmetrical point of a specific point with the axis of central line. The number of contours which pass the median line means the degree of antero-posterior curvature.

• 한국정보전자통신기술학회논문지
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• 제9권6호
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• pp.546-552
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• 2016

We present a quantitative evaluation of an algorithm for model-based face recognition. The algorithm actively learns how individual faces vary through video sequences, providing on-line suppression of confounding factors such as expression, lighting and pose. By actively decoupling sources of image variation, the algorithm provides a framework in which identity evidence can be integrated over a sequence. We demonstrate that face recognition can be considerably improved by the analysis of video sequences. The method presented is widely applicable in many multi-class interpretation problems.

• 한국윤활학회:학술대회논문집
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• 한국윤활학회 1997년도 제25회 춘계학술대회
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• pp.224-231
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• 1997

Microscopic examination for the morphological estimation of wear debris on the oil-lubrcated moving system is an accepted method for machine condition and fault diagnosis. However wear particle anaysis has not been widely accepted industry because it is dependent on expert interpretation of particle morphology and relies on subjective assessment criteria. This paper was undertaken to estimate the morphology of wear debris on the oil-lubricated movig system by computer image analysis. The wear test was performed under different sliding conditions using a wear test device made in our laboratory and wear testing specimen of the pin-on-disk-type was rubbed in pararline series base oil. In order to describe characteristics of debris of various shape and size, four shape parameters (50% volumetric diameter, aspect, roundness and reflectivity) have been developed and outlined in the paper. A system using such techniques promises to obviate the need for subjective, human interpretation of particle morphology in machine condition monitoring.

• Journal of information and communication convergence engineering
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• 제1권1호
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• pp.53-57
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• 2003

Chaos theory is a study researching the irregular, unpredictable behavior of deterministic and non-linear dynamical system. The interpretation using Chaos makes us evaluate characteristic existing in status space of system by tine series, so that the extraction of Chaos characteristic understanding and those characteristics enables us to do high precision interpretation. Therefore, This paper propose the new method which is adopted in extracting character features and recognizing characters using the Chaos Theory. Firstly, it gets features of mesh feature, projection feature and cross distance feature from input character images. And their feature is converted into time series data. Then using the modified Henon system suggested in this paper, it gets last features of character image after calculating Box-counting dimension, Natural Measure, information bit and information dimension which are meant fractal dimension. Finally, character recognition is performed by statistically finding out the each information bit showing the minimum difference against the normalized pattern database. An experimental result shows 99% character classification rates for 2,350 Korean characters (Hangul) using proposed method in this paper.

• 대한전자공학회논문지
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• 제24권1호
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• pp.97-101
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• 1987

The edge, a discontinuity or abrupt change in the gray-level or color, is a fundamentally important primitive feature of an image necessary for the image analysis and classification. Two-dimensional 3x3 compass gradient operators (ex. Sobel, Prewitt, and Kirsch operators)are commonly used in the edge detection and usually detect 8 compass directional components. In this paper, we present a new interpretation of the relationships between the resulting 8 gradient magnitudes and the 8 intensity values of neighboring pixels which are covered by the two-dimensional 3x3 mask. It is expected that a new gradient edge operator may be designed by changing the eigenvalues in the transform domain and the fast optical edge operator may be implemented by using the optical system.

• 한국측량학회지
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• 제24권1호
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• pp.37-45
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• 2006

여름철에는 집중강우에 의한 산사태, 하천범람, 하천구조물의 피해가 심각하다. 특히 토양침식의 증가는 하상퇴적과 저수량 저하 등의 홍수재해를 발생시키며, 상류에서의 침식증가는 토사의 하천범람, 농경지와 시가지 매몰의 형태로 나타난다. 현재까지의 피해현황 조사는 답사 위주의 조사가 주를 이루고 있어 효율적인 피해조사에 한계가 있으며, 따라서 효과적이며 과학적인 모델링 기법이 필요하다. 이 연구에서는 다양한 공간 해상도의 인공위성영상 분석 비교를 통해 고해상도 위성영상을 모니터링 자료원으로의 활용성을 검토하고자 하였으며, 토사재해(침식/퇴적) 피해 현황 정보의 추출 가능성을 파악하고자 하였다. 또한 위성영상의 해상도별 분석을 통하여 토사재해 피해현황판독 활용 가능성을 연구하였고, 하천 미세지형 변화의 판독을 위한 KOMPSAT 영상의 활용성을 연구하였다.