• 한국의류산업학회지
• /
• 제10권1호
• /
• pp.11-21
• /
• 2008

The purpose of this study was to provide the guidance in more objective and proper clothing design and a strategy of fashion marketing from consumer sensibilities about adult women's town wear in un-limited circumstance. The specific objectives were 1) to investigate relationship between fashion sensibility and consumer sensibility of Good and Bad women's town wear, 2) to compare fashion sensibility with consumer sensibility of Good and Bad women's town wear, and 3) to investigate a dimension of Good and Bad women's town wear in fashion sensibility. Because they can affect estimators, the collected photos at shopping mall, department stores, and churches (S/S, F/W: April 28, 2004~May 1, 2005) were prepared removing face and background and attached on gray board. To investigate consumer sensibilities, the stimulus were 80 photos (40 for 'good', 40 for 'Bad'). The questionnaire consisted of bi-polar 25 pairs adjective scale of consumer sensibility was distributed 600 female (20's~40's) living in Busan (June 28, 2005~July 11, 2005). The data were analyzed by ANOVA, Regression analysis, and MDS. The results of practical study are summarized as follows. Fashion sensibility on the preference in Good and Bad women's town wear is closely related in 'want to buy-do not want to buy' and buying need is 'like-dislike'. For the fashion sensibility dimension at Good women's town wear, X axis showed from Young to Adult and Y axis showed from Hard to Comfortable following positioned design characters. For the fashion sensibilities dimension at Bad women's town wear, X axis showed from Young to Adult, Y axis showed from Normal to Unique, and Z axis showed from Heavy to Light following positioned design characters.

• 한국의류산업학회지
• /
• 제9권4호
• /
• pp.380-390
• /
• 2007

The purpose of this study(Part I) was to provide the guidance in more objective and proper clothing design and wearing rule to make good image making by analysis of fashion sensibilities about adult women's town wear in unlimited circumstance. The specific objectives were; 1)to investigate about fashion sensibility of women's town wear at season 2)to investigate about fashion sensibilities of women's town wear of properties which are age, marriage or not, job, average income per month, and schooling. 3)to compare fashion sensibility between Good and Bad women's town wear. The collected photos at shopping mall, department stores, and churches(S/S, F/W:2004.4.28~2005.5.1) were prepared removing face and background that can affect in estimator and attached on gray board. To investigate fashion sensibilities, the stimulus were 80 photos('good':40, 'Bad':40). The questionnaire consisted of bi-polar 25 pairs adjective scale of fashion sensibilities was distributed 60 female(20's~40's) living in Busan. The data were analyzed by t-test, ANOVA, and Scheffe. The results of this study are summarized as follows; For fashion sensibilities at 'Good' and 'Bad' wear, the variances(season, age, marriage or not, job, average income per month, and schooling) are important. Especially, the fashion sensibility at 30's women are very unique and importance age zone to catch both young women's fashion sensibility and old women's fashion sensibility, Through that age zone, we could read women's various fashion sensibility and prospect complicate consumers' fashion mind. This study result will be utilized in the clothing design for target age zone of women's town wear, database of wearing rule and good image making, and planning fashion marketing strategies.

• 한국지역사회생활과학회지
• /
• 제27권spc호
• /
• pp.573-591
• /
• 2016

People are making multilateral efforts to create beautiful agricultural landscapes. In farming villages, however, large-scale facilities or houses do not blend in with the natural environment because of their outer colors, which are mostly primary colors that are not chosen in consideration of the natural environment. This was addressed in the three following steps: 1) Research tool was used to identify predominant colors and images that represent various types of rural areas; 2) landscape experts conducted a feasibility study and pilot study on using these colors; and 3) the main study was done by investigating how local people and out-of-town visitors perceive the colors. The villages involved in the development projects were mostly represented by achromatic colors, meaning white, black, and variations of gray. Also, adjectives such as "modern" were shown to be keywords that symbolize the atmosphere. Less developed villages had more greenish colors and "natural" as their keyword. Developed villages in suburban areas were mainly represented by shades of blue and green, while less developed ones were mainly represented by green and yellow. In special types of rural areas, developed and developing were represented by achromatic and green colors, whereas less developed ones were represented by green and blue. Respondents were also asked 1) whether they were satisfied with their village's current overall color scheme and 2) whether they thought there was harmony between the surrounding natural environment and artificial structures. People responded with "so so" for the first question, while some answered "not good enough" and "no" for the second.

• 한국전산구조공학회논문집
• /
• 제30권1호
• /
• pp.17-22
• /
• 2017

본 연구에서는 페이즈필드 설계법에 기반한 형상최적설계를 통해 개선된 패치안테나 금속 패치 부분의 형상 설계를 진행하였다. 설계 목적은 패치 안테나의 목적 주파수에서의 방사 효율을 최대화 하는 것으로 설정하였고, 이에 따라 목적 함수는 반사손실을 나타내는 S-파라미터 값의 최소화로 정의하였다. 패치형상의 최적화 결과는 페이즈필드 설계법을 이용하여 도출하였고, 최적화 결과의 회색영역을 제거하기 위해서 컷오프 방법을 적용하였다. 더불어 쿼터 정합기의 길이 변화를 통해 성능 개선 과정을 진행하였다. 이를 통해 도출해낸 최종 형상에 대한 해석 결과, 목표 주파수에서의 S-파라미터 값이 -1.14dB에서 -12.73dB로 개선됨을 확인하였다.

• 한국컴퓨터정보학회논문지
• /
• 제16권12호
• /
• pp.43-48
• /
• 2011

현재 영상 정보 개선을 위한 다양한 영상 필터링 알고리즘들이 제시되고 있으며, 그 중에서 기존의 퍼지 논리를 이용한 필터링 알고리즘은 다른 기존의 필터링 방식에서 잡음이 제거된 후에 블러링 효과와 잡음 제거율이 반비례하는 단점을 개선하기 위해서 퍼지 논리를 적용하였다. 그러나 기존의 퍼지 필터 방법은 그레이 영상의 단색 정보만을 잡음의 판단 기준으로 하였기 때문에 칼라 영상에서는 비효율적이다. 따라서 본 논문에서는 기존의 퍼지 논리를 이용한 필터링 알고리즘의 문제점을 개선하는 동시에 컬러 영상에 적용할 수 있는 퍼지 필터 알고리즘을 제안한다. 제시된 퍼지 필터 알고리즘은 영상의 RGB 컬러 정보를 각각의 R, G, B 채널 영상으로 분리하고, 각 채널 영상에 서 마스크가 위치한 기준 픽셀의 잡음 가능성 정도를 퍼지 논리에 적용하여 판단한다. 잡음 정도에 따라서 출력 영상의 화소값을 평균값 또는 중간값으로 결정한다. 제안된 방법을 잡음이 존재하는 칼라 영상에 적용한 결과, 단색 정보를 기준으로 처리하는 기존의 필터 방법에 비해서 효과적인 것을 확인하였다.

• JSTS:Journal of Semiconductor Technology and Science
• /
• 제16권6호
• /
• pp.800-807
• /
• 2016

We propose a fast algorithm using Extreme Contour Point (ECP) to detect the angle of rotated images, is implemented by rotation feature of one covered frame image that can be applied to correct the rotated images like in image processing for real time applications, while CORDIC is inefficient to calculate various points like high definition image since it is only possible to detect rotated angle between one point and the other point. The two advantages of this algorithm, namely compatibility to images in preprocessing by using Sobel edge process for pattern recognition. While the other one is its simplicity for rotated angle detection with cyclic shift of two $1{\times}n$ matrix set without complexity in calculation compared with CORDIC algorithm. In ECP, the edge features of the sample image of gray scale were determined using the Sobel Edge Process. Then, it was subjected to binary code conversion of 0 or 1 with circular boundary to constitute the rotation in invariant conditions. The results were extracted to extreme points of the binary image. Its components expressed not just only the features of angle ${\theta}$ but also the square of radius $r^2$ from the origin of the image. The detected angle of this algorithm is limited only to an angle below 10 degrees but it is appropriate for real time application because it can process a 200 degree with an assumption 20 frames per second. ECP algorithm has an O ($n^2$) in Big O notation that improves the execution time about 7 times the performance if CORDIC algorithm is used.

• 한국정보전자통신기술학회논문지
• /
• 제12권6호
• /
• pp.567-572
• /
• 2019

본 논문에서는 이진영상과 이진커널을 사용하여 컨볼루션, 풀링, ReLU 연산을 수행하는 이진 CNN 연산 알고리즘을 제안한다. 256 그레이스케일 영상을 8개의 비트평면으로 분해하고, -1과 1로 구성되는 이진커널을 사용하는 방법이다. 이진영상과 이진커널의 컨볼루션 연산은 가산과 감산으로 수행한다. 논리적으로는 XNOR 연산과 비교기로 구성되는 이진연산 알고리즘이다. ReLU와 풀링 연산은 각각 XNOR와 OR 논리연산으로 수행한다. 본 논문에서 제안한 알고리즘의 유용성을 증명하기 위한 실험을 통해, CNN 연산을 이진 논리연산으로 변환하여 수행할 수 있음을 확인한다. 이진 CNN 알고리즘은 컴퓨팅 파워가 약한 시스템에서도 딥러닝을 구현할 수 있는 알고리즘으로 스마트 폰, 지능형 CCTV, IoT 시스템, 자율주행 자동차 등의 임베디드 시스템에서 다양하게 적용될 수 있는 시스템이다.

• 대한기계학회논문집B
• /
• 제25권11호
• /
• pp.1594-1605
• /
• 2001

In this study, a numerical simulation was developed which was capable of predicting the characteristics of NO formation in pilot scale combustor adopting the air-staged burner flame. The numerical calculation was constructed by means of establishing the mathematical models fur turbulence, turbulent combustion, radiation and turbulent nitric oxide chemistry. Turbulence was solved with standard k-$\xi$ model and the turbulent combustion model was incorporated using a two step reaction scheme together with an eddy dissipation model. The radiative transfer equation was calculated by means of the discrete ordinates method with the weighted sum of gray gases model for CO$_2$and H$_2$O. In the NO chemistry model, the chemical reaction rates for thermal and prompt NO were statistically averaged using the $\beta$ probability density function. The results were validated by comparison with measurements. For the experiment, a 0.2 MW pilot multi-air staged burner has been designed and fabricated. Only when the radiation was taken into account, the predicted gas temperature was in good agreement with the experimental one, which meant that the inclusion of radiation was indispensable for modeling multi-air staged gas flame. This was also true of the prediction of the NO formation, since it heavily depended on temperature. Subsequently, it was found that the multi-air staged combustion technique might be used as a practical tool in reducing the NO formation by controlling the peak flame temperature.

• 한국항행학회논문지
• /
• 제16권2호
• /
• pp.394-400
• /
• 2012

SURF(Speeded Up Robust Features)는 다양한 상태 변화에 강인한 기술자 추출 방법으로 객체 인식과 같은 분야에서 유용하게 사용되는 알고리즘이다. 이 알고리즘은 대표적인 특징점 추출 알고리즘인 SIFT(Scale Invariant Feature Transform)와 비슷한 성능을 보이면서도 수행 시간이 훨씬 빠르다는 장점이 있다. 하지만 이러한 기술자들은 회전 불변한 특징 보장을 위해서, 추출한 특징점 간의 위치 정보를 고려하지 않는다. 또한, 원본 영상을 흑백 영상으로 변환하여 사용하기 때문에, 원본 이미지의 색상 정보도 이용하지 않는다. 본 논문에서는 특징점들 간의 상대적인 위치 정보 및 색상 정보를 이용하여 SURF 기술자의 정합 성능을 개선하는 방안을 제안한다. 상대적인 위치 정보는 특징점들의 중심을 연결하는 선분과 특징점 중심에서부터 생성되는 orientation 선분 사이의 각을 기반으로 한다. 색상 정보의 경우 각 특징점이 포함하고 있는 영역에 대해 color histogram을 생성하여 사용한다. 실험을 통하여 제안된 기법의 성능 개선을 보인다.

• 복식문화연구
• /
• 제15권3호
• /
• pp.496-509
• /
• 2007

The purpose of this research is to find out the effect of a chromatic Korean jacket and an achromatic Korean skirt on the visual image of a traditional Korean dress wearer. This experiment was designed to the 3 factors which were composed of 3 colors(red, yellow, green), 4 jacket tones(vivid, light, dull, dark), and 4 skirt colors(N9, N7, N4, N2). The 288 students in Gyeongsang National University assessed the 48 stimuli which wear variously incorporated with colors and tones by a semantic differential scale of 7-point: The results of the study were as follows. Image factors of stimuli are youth and activity, gracefulness, visibility, and tenderness. Among these, youth and activity factors, and gracefulness factors proved to be important. The colors and tones of a jacket and a skirt used in this experiment showed that the colors and tone had an effect on dimension of 4 images by interacting of two valuables or working independently. While a yellow jacket with vivid and a white(N9) skirt had a significant effect on youth and activity factors, a red jacket and a dark- gray(N4), -black(N2) skirt were evaluated as a graceful image. In the red jacket case, a visible factor was considerably different according to skirt tones. Only jacket tones worked as a striking clue in a tenderness factor.