• Journal of the Korean housing association
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• v.12 no.4
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• pp.153-161
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• 2001

This paper is to clarify a cognitive structure of green environment in the traditional urban residential areas. The following is the result of analysis; 1) According to the survey of created actual condition of the green environment, the main space was consisted of court(74%). The percentage of preference locations for green environment at the court and the alley are 71, 60 respectively. The main reason to creat green environment resulted admiration and enjoyment. 2) The degree of $\ulcorner$agreeableness$\lrcorner$ and $\ulcorner$nobleness$\lrcorner$ of the house were increased by creating green environment in a house, and the degree of $\ulcorner$neighborhood$\lrcorner$ and $\ulcorner$familarity$\lrcorner$ were increased by creating green environment out side of house. 3) According to the analysis of a correlation between the degree of satisfaction and the image, $\ulcorner$agreeableness$\lrcorner$ has an interrelation with all factors of image. Therefore, the creating of $\ulcorner$agreeableness$\lrcorner$ is a main problem for raising the whole image of the residential areas.

• Journal of Urban Science
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• v.8 no.1
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• pp.7-14
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• 2019

Recently, interest in solar energy, which is the center of new government energy policy, is increasing. However, the focus is on mass production of solar power plants, and policies and related technologies for maintenance and management of existing installed PV modules are insufficient. In this study, we use UAV (Unmanned Aerial Vehicle) to acquire RGB and infrared images, apply it to the structure-from-motion (SfM) based image analysis tool, model the three- And the position of the hot spot was monitored and coordinates were detected. As a result, it is possible to provide basic spatial information for maintenance of solar module by monitoring and position detection of hot-spot suspected solar cells by superimposing infrared image and RGB image based on unmanned aerial vehicle.

• Journal of Information Technology Services
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• v.18 no.1
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• pp.153-171
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• 2019

Competition among cities has become fierce with decentralization and globalization, and each city tries to establish a brand image of the city to build its competitiveness and implement its policies based on it. At this time, surveys, expert interviews, etc. are commonly used to establish city brands. These methods are difficult to establish as sampling methods an empirical component, the biggest component of a city brand. In this paper, therefore, based on the precedent research's urban brand measurement and components, the words representing each city image property were extracted and relocated to five indicators to form the evaluation index. The constructed indicators have been validated through the review of three experts. Through the index, we analyzed the brands of four cities, Ulsan, Incheon, Yeosu, and Gyeongju, and identified the factors by using Topic Modeling and Word Cloud. This methodology is expected to reduce costs and monitor timely in identifying and analyzing urban brand images in the future.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.06a
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• pp.1918-1920
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• 2005

The color and structure of urban constructions is a factor of urban landscape and shows their characteristics. Hence the modern buildings with their materials and external appearance makes up the urban image. But still yet, it was not easy to evaluate the value of visual landscape of buildings with objective measuring method. Most of all, it depends on the subjective estimation of a few talented or high educated experts with a sense of beauty. In relation to this kind of problems, it was tried here in this study to analyse the human response of brain wave pattern (EEG) with use of SD method, while the tested persons watched the urban landscape constructed in a visual reality. The tested persons were 10 adult males and females with no color blindness and intact cognitive function. Light source with color filter was used for color environment in chamber room. The signal of EEG is analysed digitally and grouped into the $\alpha$ and $\beta$ waves. The result showed that relative power of $\alpha$ wave ratio increased in natural landscape scenary clearly. From these results it was possible to evaluate the human response, which was affected by urban color and structure stimulation and it might be useful as an indicator of visual cognition amenity toward the design of urban construction environment.

• Korean Journal of Remote Sensing
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• v.33 no.6_3
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• pp.1197-1213
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• 2017

This study was carried out to correct shadow area in urban area on KOMPSAT-3 satellite image. For this study, we analyzed characteristics of the shadow area represented by artificial structures in urban area. The proposed shadow correction method divides shadow area into umbra and penumbra areas according to intensity of darkness. The umbra area was detected through the histogram analysis and the statistical method of the NIR image, and then penumbra area and the sunlit area were detected from around the detected umbra area. The correction of the detected umbra and penumbra area were performed by applying the linear correlation correction method. As a result, it was confirmed that the proposed shadow correction method was visually performed well. Quantitative analysis was performed through profile analysis. It is proved that proposed method is useful for shadow area correction.

• Journal of Korean Society of Transportation
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• v.24 no.3 s.89
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• pp.125-131
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• 2006

Recently, flowerbed median strips are being installed in urban highways for safety and scenery. In addition, efforts to enhance urban image through roadside flowerbeds and trees are being exerted for afforestation to enhance the urban environment. The sensibility of humans, such as the feeling of agreeableness of drivers must be considered when planning roads. However, not many researches on users on road environment are being conducted. Accordingly, KANSEI Engineering that is attracting attention nowadays was applied to form the image or sensibility of humans as definite object, in order to grasp the relation between the personal attributes of users and road formation with sensible factors considered when the road users evaluates the road scenery. As the result of research, streetscape was not evaluated based on individual factors such as roads, trees and buildings that form roads, but was based on sensibility image based on harmony of the overall road formation according to the changes of each factors.

• KIEAE Journal
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• v.8 no.2
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• pp.11-21
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• 2008

The purpose of this study is to interpret the visual and auditory images and cognitive characteristics about townscapes in Namwon city. It was acquired the survey results about 8 types of verbal interviews and 2 kinds of sketch maps which are based on urban images from 102 Namwon residents. They held in a variety of images of Namwon in their minds such as Jiri mountain, clean environment, sightseeing, special products, urban/building structures, Korean classical music, historical novel, local sports, and emotional images. The nice streets or places which the residents recommended are the places which have abundant natural areas, psychological peace and rest, available space for physical activity, places for performances and events, and regional attractions. The streets or places which they didn't like are decadent places, and areas of crowded traffic. The transition times of visual and auditory scene can be classified with the Saemaul movement in the 1970's(the rural new community movement) and the improvement of the city in the 1990's. The elements of visual images in Namwon city on the basis of the cognitive maps were expressed such elements as paths, districts, nodes, edges, and landmarks. The elements of auditory images, which are on the basis of the concept of the soundscape, included sounds of narrative musical form unique to Korea; p'ansori, sounds of traditional markets, and sounds of nature. It was found that the imageability of visual and auditory images is relatively clear in specific areas in Namwon city.

• Journal of the Korean Association of Geographic Information Studies
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• v.5 no.2
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• pp.16-24
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• 2002

Classification of the land cover characteristics is a major application of remote sensing. The goal of this study is to propose an optimal classification process for electro-optical camera(EOC) of Korea Multi-Purpose Satellite(KOMPSAT). The study was carried out on Landsat TM, high spectral resolution image and KOMPSAT EOC, high spatial resolution image of Miho river basin, Korea. The study was conducted in two stages: one was image fusion of TM and EOC to gain high spectral and spatial resolution image, the other was land cover classification on fused image. Four fusion techniques were applied and compared for its topographic interpretation such as IHS, HPF, CN and wavelet transform. The fused images were classified by radial basis function neural network(RBF-NN) and artificial neural network(ANN) classification model. The proposed RBF-NN was validated for the study area and the optimal model structure and parameter were respectively identified for different input band combinations. The results of the study propose an optimal classification process of KOMPSAT EOC to improve the thematic mapping and extraction of environmental information.

• Korean Journal of Community Nutrition
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• v.2 no.4
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• pp.505-514
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• 1997

Concern about body weight among young females is too much, so distorted body image and restrained eating are serious problems among Korean young females. A society preoccupied with thinness give a psychological burden to women, this burden may have adverse effects on health physically and psychologically. We tried this study to investigate body image, eating problems, and dietary intakes among female college students in urban areas of Korea. We satisfactorily surveyed using their body weight, desired weight dieting, binge eating, and night eating by self-questionnaires with 500 female college students. We evaluated their dietary intakes by semi-quantitative food frequency questionnaires to assess their usual intakes. After removing incomplete data, we analyzed 469 data by SAS 6.10. The 469 women aged 21.1 years. Their mean height, weight, and BMI were 161.4cm, 52.5kg, and 20.2kg/$m^2$ respectively. Though the frequency of obesity was only 2.6$\%$, the frequency of dissatisfaction with their body weight was 84.7$\%$. Female college students desired their hight, weight, and BMI to be 165.8cm, 48.2kg, and 17.5kg/$m^2$, respectively. The frequency of binge eating and night eating were 20.7$\%$and 6.8$\%$. The odds ratios for binge eating and night eating were 10.9(95$\%$ CI : 2.6-15.1) and 6.0(95% CI : 1.8-14.8) in the group satisfied with their body weight compared with the dissatisfied group. The odds ratios for binge eating and night eating were 2.6(95% CI : 1.6-4.4) and 2.4(95% CI : 1.1-5.4) in the dieting group compared with the non-dieting group. The mean caloric intake was 1, 840kacl and percent intakes of carbohydrate, protein, and fat wee 57.2$\%$, 16.3$\%$, and 24.0$\%$, respectively. The dieting group showed deficient intakes of protein and calcium significantly compared with the non-dieting group showed deficient intakes of protein and calcium significantly compared with the non-dieting group. Almost all women college students in urban area had dissatisfaction with their body shape, and desired severe undrerweight. The frequency of binge eating and night eating increased according to dissatisfaction with body weight, diet, and distortion of body image. Dieting has adverse effect on the intakes of essential nutrients. Educations is needed to correct distorted body image, and bad eating habits in young females, and marked preoccupation with thinness among women should then be reduced. (Korean J Community Nutrition2(4) : 505-514, 1997)

• Journal of Korean Society of Disaster and Security
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• v.14 no.2
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• pp.13-23
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• 2021

This study intended to assess the reliability of topographic data using satellite imaging data. The topographical data using actual instrumentation data and satellite image data were established and applied to the rainfall-leak model, S-RAT, and the topographical data and outflow data were compared and analyzed. The actual measurement data were collected from the Water Resources Management Information System (WAMIS), and satellite image data were collected from MODIS observation sensors mounted on Terra satellites. The areas subject to analysis were selected for two rivers with more than 80% mountainous areas in the Han River basin and one river basin with more than 7% urban areas. According to the analysis, the difference between instrumentation data and satellite image data was up to 50% for peak floods and up to 17% for flood totals in rivers with high mountains, but up to 13% for peak floods and up to 4% for flood totals. The biggest difference in the video data is Landuse, which shows that MODIS satellite images tend to be recognized as cities up to 60% or more in urban streams compared to WAMIS instrumentation data, but MODIS satellite images are found to be less than 5% error in forest areas.