• 한국실내디자인학회논문집
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• 제13권5호
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• pp.215-222
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• 2004

Buildings' outward appearances, sidewalks, and street lights have long been regarded as important factors identifying the street landscape of a city. On the other hand, the interior spaces of a building have been known to have less correlation with street landscape. This paper, which did not use standardized urban street landscape application methods, attempts, based on an experiment involving Pimatgol, to prove that small changes in interior design influence the street landscapes of cities and even provide new vigorousness. Pimatgol is a type of village that still possesses a traditional Korean lyrical atmosphere. This paper also attempts to, with the use of a physical model and a digital simulation of small changes interior design, such as changes in materials, size of the opening, location of furniture, or a change of lights, uncover positive changes in street landscape. Computer simulation is one of the extraordinarily useful techniques to predict lighting performance, changing interior space and present visual image. As a result, this study can be a valuable guideline for the future streetscape reform project to lead the demanding effects of the interior space.

• 복식
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• 제53권5호
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• pp.49-63
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• 2003

Street Fashion plays an important role as an indication of new trends staring point for Young people who are fashion-conscious sensitive to changes in fashion. This study aims at: (1) comparing street fashion trends of young women in Korea and Italy by analyzing the characteristics of young people's fashion in Seoul and Milan between the seasons of Autumn in 2001 to Summer 2002 ; (2) understanding the way young women create ´self-image´ through the clothes they wear on the streets. Finally, 1 expect this study to become a useful source of data for a more detailed analysis of the overall trend of young people's fashion between the East and West.

• 한국가구학회지
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• 제20권4호
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• pp.307-316
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• 2009

Seoul, the capital of Korea, is worldwide city; Seoul is 600 year-old city as a capital and more than 10 millions of population live in Seoul, Image of Seoul has began to be known to the peoples in the world through 1988 Seoul Olympic Games and 2002 World Cup. However, in the public design and trees lining street system, Seoul hasn't been escaped from the image of a city which lacks of the characterization in the culture and identity aspects. This paper applied a protective fence designing simulation for Cultural Street in Seoul to develop much more the identity of Seoul and characterization of local culture. Also, It's examined and analyzed R&D data, and applied traditional patterns to design to set developmental capacity of design and a direction of fence design in the past, present and future. It's analyzed the present condition of domestic manufacturers and examples for installation, selected randomly 7 places of domestic cultural places as an alternative to compare the previous design to the present design with 3D design and photos composing method, and developed the related situation. Also, It's visualized this method to let the citizens and all levels of society determine the design. besides that, developed the traditional patterns to apply the patterns to the design, considering the characteristic of each region and characteristic of each road. It's suggested this fence design to apply the image of advanced Korea and Seoul as a creative cultural city, and the international status of Korea and Seoul to the trees on the historical and traditional street. Also, put an importance to bring the identity of Seoul and Korea in the world into relief.

• 디자인학연구
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• 제13권3호
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• pp.245-252
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• 2000

건축물의 파사드는 상업공간인 경우, 매장의 일부이며 가로공간을 구성하고 있는 중요한 요소로서의 역할을 하고 있다. 따라서 그 기능적인 문제와 표현상의 문제를 다루는데 있어서 매장과 가로공간의 양측면을 고려하지 않으면 안된다. 본 연구는 도시의 가로 공간의 구성요소인 파사드와 색채의 상호연관성의 고찰을 통하여 사인물을 비롯한 매장의 디자인 나아가 건축디자인의 색채계획에 있어 형태적 특성에 따른 접근 방법과 방향성을 제시하고자 한다. 이에 개별 건축물의 특성보다는 2차원적인 건축물의 입면이 연속적으로 구성되어 있는 명동을 조사대상지역으로 선정하고 입면 유형에 따른 종횡방향의 연속성과 입면 구성요소의 색채분석을 실시하여 상호 관련성을 규명하였다. 앞으로 도시환경의 색채계획은 결론에서 제시하고 있는 개개의 강조보다는 건축물의 형태적 특성에서 비롯되는 관련성을 고려한 전체 틀 속에서 검토되어야하며, 이는 곧 쾌적한 도시환경을 창조하는 실마리가 될 수 있는 것이다.

• 한국의류학회지
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• 제27권3_4호
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• pp.322-332
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• 2003

The purpose of this study was to segment the consumer market for women's street clothes based on benefit sought. The sample was taken from 1106 middle class women who were in their 30's-40's living in Gwangju city. Consumers were classified into three groups by honest sought. The groups were practical benefit seeking group(36.7%), multi-benefit seeking group(32.6%) and symbolic/aesthetic benefit seeking group(30.7%). ANOVA, $\chi$$^2$-test revealed differences among groups according to benefit sought, use of information sources, purchasing behavior variables and demographic variables As a result of comparison for two market segmentations, benefit segmentation was proven to be more useful than segmentations using clothes image preference. But there were differences in psychological variables and demographic variables among the same benefit segments. Therefore hybrid approach on segmentation using clothes images preferences and benefit sought is neccesary.

• 한국의류학회지
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• 제27권1호
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• pp.100-110
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• 2003

The purpose of this study were 1) to find out the structural elements in classifying clothes images, and 2) to segment the consumer market for women's street clothes based on clothes image preferences and to identify the group differences in psychological variables, purchasing behavior variables and demographic variables. The sample was taken from 1106 middle class women who were in thier 30's∼40's living in Gwangju city. Consumers were classified into six groups: active image group (35.4%), feminine image group (25.9%). daring image group (16.5%), elegant image group (10.8%), dressy image group (8.9%) and brisk image group (3.5%). Women in their 30's∼40's preferred elegant image, daring image, active image and feminine image. Elegant image oriented group: This group is the lowest education level group and has the highest rating of housewife. This group has the lowest scores use of person information search, Daring image oriented group: Woman in their 30's prefers daring image. This group thinks practical benefit sought is less important than self-expression benefit sought. This group has the highest scores use of non-person information search, Active image oriented group: This group is practical benefit seeking group. and purchases the lowest amount of clothes. The amount of average household income is the lowest. Feminine image oriented group: The amount of average household income is the highest. This group perceives more youth$.$fashion benefit sought and self-expression benefit sought than elegant image oriented group. ANOVA, $\chi$$^2$-test revealed differences among groups according to benefit sought use of information sources, purchasing behavior variables and demographic variables.

• 방송공학회논문지
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• 제23권3호
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• pp.345-350
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• 2018

CNN (convolutional neural network)은 최근 가장 주목받는 인공지능 기법 중 하나이며 특히 영상 분류에서 기존의 기법에 비해 월등한 성능을 보인다. 본 논문에서는 CNN을 이용하여 다양한 거리 사진을 분류하고, 분류 결과를 이용하여 해당 거리에 대한 안전도의 평가 방법을 제안한다. 제안하는 기법은 CNN을 이용하여 총 네 가지 유형의 거리 사진에 대하여 학습을 수행하는 과정과 학습된 네트워크 모델을 바탕으로 해당 거리 사진의 분류와 안전도를 평가하는 과정을 포함한다. 거리 사진의 학습 과정에서는 네 가지 유형의 거리 사진 데이터셋을 수집하고 이 데이터를 증강시킨 후 CNN 학습을 수행한다. 학습된 CNN 모델은 주어진 입력 영상의 분류를 정확히 수행하고, 거리의 안전도는 각 유형에 대한 확률을 조합하여 정량적으로 계산한다.

• KIEAE Journal
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• 제10권1호
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• pp.33-44
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• 2010

These days, the use of alternative energy is recognized as one of countermeasures to rising oil prices and climate-change agreements. Especially, it is regarded as a main element to realize 'Low-Carbon Green Growth', one of the key policies of MB government. However, though alternative energy, renewable energy, is a main policy issue of the present administration, there are many problems to solve: the lack of recognition of its energy, the low level of its technology, its expert's shortage, and its limited application fields. Therefore, to stimulate the use of alternative energy in Korea and to change the recognition of this energy, it is needed to utilize it to urban street furniture that many people visit and use. In particular, if alternative energy is first applied to street furniture that needs energy for its management, the effect of publicity and energy saving will be so great. In this study, for the basic research to introduce and promote various alternative energy sources such as solar power, wind power, small hydro power, and human power, we analyzed the present condition of development of Korean and foreign street furniture items. Furthermore, we evaluated the level of development of these street furniture products and the design types of them and from these evaluations suggested the design direction that can solve problems in development and improve the possibility of application of these energy sources to these street furniture items. Through these analyses, this study aims to enhance the image of future environment-friendly city and make new index for the application of alternative energy.

• 대한원격탐사학회지
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• 제33권6_2호
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• pp.1151-1157
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• 2017

가로수는 도시 환경 개선을 위한 중요한 개체이다. 특히 도시 협곡에서 가로수 높이는 대기 오염물질의 제거에 큰 영향을 미치는 요소로써 높이를 정확히 측정해야할 필요가 있다. 본 연구에서는 수목의 높이 측정을 위해 대상지역의 무인항공기 영상을 정밀하게 보정하여 스테레오 영상 기반으로 수목의 높이를 추출하는 방식을 시도해보았다. 무인항공기의 영상 정렬은 공선방정식 기반의 SfM(Structure from motion) 방식을 적용하였으며 보정된 영상을 수치도화기에 적용하여 도시 협곡지역의 가로수 높이를 측정하였다. 가로수와 인접 건물의 높이를 함께 취득하였으며 정확한 지물의 높이 계산을 위해 도로면의 평균높이를 함께 산출하여 처리하였다. 그 결과로 수목의 높이 측정 및 건물과의 상대적인 높이값 차이 산출을 수치도화기를 이용한 육안 분석을 통해서 빠르게 할 수 있음을 확인하였다. 이는 무인항공기를 이용하여 별도의 3차원 포인트 클라우드를 제작하지 않고도 건물과 수목의 상대적인 높이 차이를 산출할 수 있음을 의미한다. 또한 비전문가도 활용할 수 있다는 장점이 있다. 향후 사용자가 영상 내 수목이나 건물의 한 지점을 선택하면 자동으로 해당 개체의 높이값을 추출하는 연구 및 영상에서 자동으로 수목을 추출한 뒤 수고가 함께 취득되는 연구가 수행되어야 하며, 이러한 기술의 개발 및 연구는 이후 도심지내 환경 정책 및 가로수 등의 현황파악에 도움이 될 수 있을 것으로 기대된다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권6호
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• pp.3188-3207
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• 2017

In this paper, we propose an image enhancement algorithm to improve license plate extraction rate in various environments (Day Street, Night Street, Underground parking lot, etc.). The proposed algorithm is composed of image enhancement algorithm and license plate extraction algorithm. The image enhancement method can improve an image quality of the degraded image, which utilizes a histogram information and overall gray level distribution of an image. The proposed algorithm employs an interpolated probability distribution value (PDV) in order to control a sudden change in image brightness. Probability distribution value can be calculated using cumulative distribution function (CDF) and probability density function (PDF) of the captured image, whose values are achieved by brightness distribution of the captured image. Also, by adjusting the image enhancement factor of each part region based on image pixel information, it provides a function that can adjust the gradation of the image in more details. This processed gray image is converted into a binary image, which fuses narrow breaks and long thin gulfs, eliminates small holes, and fills gaps in the contour by using morphology operations. Then license plate region is detected based on aspect ratio and license plate size of the bound box drawn on connected license plate areas. The images have been captured by using a video camera or a personal image recorder installed in front of the cars. The captured images have included several license plates on multilane roads. Simulation has been executed using OpenCV and MATLAB. The results show that the extraction success rate is more improved than the conventional algorithms.