• Journal of the Korean Society of Environmental Restoration Technology
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• v.20 no.1
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• pp.97-115
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• 2017

The purpose of this study is to evaluate the preference and image on landscape of before and after the restoration in the four study areas where the restoration project of Baekdudaegan ecological ridgeline was carried out and to explore the change factors of image preference according to restoration project. The study areas were Beoljae, Ihwaryeong, Bijoryeong, and Yuksimnyeong and 248 questionnaires were used for analysis. As a result of the recognition analysis on restoration project of ecological ridgeline, the awareness of the project was low at 2.63, the satisfaction of the project was 3.42, and necessity of the project was 4.07. In terms of the preference analysis for landscape photographs, the all preferences of four sites were improved after the project than before. In the result of the landscape image evaluation, images such as 'lifeless', 'uniform' and 'ugly' were high before the project, however, images such as 'clean', 'tidy', and 'stable' were high after the project. As a result of analyzing the change factors of image preference according to the restoration project, adjectives such as 'beautiful-ugly' and 'open-closed' influenced the preference change in common. These findings can be utilized as the base data for the planning direction for the construction of new ecological ridgeline or the landscape conservation of existing ecological ridgeline.

• Journal of the Korean Geographical Society
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• v.38 no.5
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• pp.822-834
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• 2003

It is difficult to analyse geomorphic landscape changes effectively by a field survey. A satellite image interpretation may play an important role to overcome such a problem. The purpose of this study is to assess the accuracy of different method to identify geomorphic landscape change by using satellite imagery. The study area is the Yongjong coastal wetland in which a huge man-made environmental change occured to build a new international airport in the past decade. These changes may be summarized that a coastal landscape has been changed to a terrestrial landscape, and also a natural landscape to a man-made landscape. In order to detect these changes, we applied three different satellite interpreting methods, including a binary change mask using band difference. a binary change mask using normalized band difference. and a binary change mask using NDVI. We concluded that a binary change mask using NDVI is the best method among three different methods analysing the coastal geomorphic-landscape changes.

• The Journal of Korean Academic Society of Nursing Education
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• v.7 no.1
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• pp.22-37
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• 2001

This study analyzed change of nurse image after hospitalization experience. The data were collected though questionnaire survey on 87 patients, who were, for the first time, hospitalized for 5~7 days at five general hospitals in J city. The survey was performed during July 3~August 2, 2000. 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 were processed through SPSS/WIN to examine t-test, ANOVA and paired t-test. The study results were summarized as follows ; 1. Before hospitalization, patients' score of nurse image was the highest in professional dimension, followed by personal, traditional and social in order. 2. The nurse image before hospitalization showed statistically significant differences in age(p=.009), sex(p=.027) and marital status(p=.000). 3. After hospitalization experience, the score of nurse image was the highest in personal dimension, followed by professional, traditional and social one. 4. The nurse image after hospitalization showed statistically significant differences in marital status(p=.002) only. 5. The difference of nurse image before and after hospitalization experience showed statistical significance in traditional (p=.007) and social (p=.037) dimensions. 6. The score of nurse image was improved in all dimensions after hospitalization experience. In conclusion, hospitalization experience helps improve the nurse image. Therefore, for better improvement of nurse image, it is necessary for nurses to offer their best care to hospitalized patients. In addition, efforts should be made to improve the social image of nurse, which showed lowest score.

• Journal of Fashion Business
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• v.25 no.5
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• pp.114-130
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• 2021

The purpose of this study is to analysis BTS's image based on Peirce's semiotics. Methodologies of this study are literature study to analyze the structure of idol image based on Peirce's theory of signs, case study and FGI analyzing the semiotic characteristics of BTS images. The research results of analyzing the semiotic features of BTS images by period of the BTS album are as follows. First, in the early days of their debut, they emphasized the image of hip-hop and expressed their will to resist and rebel against the older generation with a challenging and strong image. Second, during the 'The most beautiful day of life' period, image of wandering, rebellion, growth, and youth of teenagers was expressed. Third, in the 'Love Yourself' period, BTS showed various image changes between natural and pure image to splendid image by expressing the process of finding confidence during chaotic moment of growing. Fourth, during the 'Map of the Soul' period, the exploration and reflection on themselves were expressed in an outwardly splendid and bright manner, while at the same time expressing the inner darkness in a contrasting manner. Fifth, in the 'pandemic period', they expressed hopeful energy and willness with the image of mature and attractive man and bright and casual image. Their growth and change have been directly linked to the change of their image, and their image showed a successful signification with complementary combination of icons, indexes, and symbols.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.6 no.6
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• pp.951-957
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• 2002

When retrieving voluminous capacity of video image data, it is necessary to provide synopsized frame lists of video image data for indexing and replaying at the exact point where the user want to retrieve. We apply Mean Squared Error method to extract certain pixel value from diagonal direction of a frame. The RGB value of a pixel extracted from each frame is saved in a matrix form, and this frame is retrievedas a scene change point if the compared value of two points met the certain condition. Also implement the algorithm and provide a way to seize entire structure of video image and the point of scene changes. finally, we analyze and prove that our method has better performance compared with the others.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2001.06a
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• pp.189-192
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• 2001

In this paper, we desire to design real time image processing system to change a various chromaticity in HDTV that has 1344*806 resolution and requires a high-speed 65MHz operation. In order to change the image chromaticity, it is necessary to calculate the color temperature of the image. Conventional way of calculating the temperature uses 2-D algorithm [1] that requires bulky hardware. This paper propose a one-dimensional color-temperature conversion that reduces the hardware complexity while keeping the performance of the 2-D algorithm. The proposed method is realized by using the Xilinx Virtex FPGA XCV 2000E-6BG560.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.717-724
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• 2016

This paper proposes a change detection method based on the covariance matrices of color and edge gradient in a color video. The YCbCr color format was used instead of RGB. The color covariance matrix was calculated from the CbCr-channels and the edge gradient covariance matrix was calculated from the Y-channels. The covariance matrices were effectively calculated at each pixel by calculating the sum, squared sum, and sum of two values' multiplication of a rectangle area using the integral images from a background image. The background image was updated by a running the average between the background image and a current frame. The change areas in a current frame image against the background were detected using the Mahalanobis distance, which is a measure of the statistical distance using covariance matrices. The experimental results of an expressway color video showed that the proposed approach can effectively detect change regions for color and edge gradients against the background.

• Proceedings of the Korean Society of Agricultural Engineers Conference
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• 2003.10a
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• pp.75-78
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• 2003

This study is to present a method of land cover change detection by the typhoon RUSA (August 1 - September 4, 2002) using Landsat 7 ETM+ images. For the Namdae-cheon watershed in Gangreung, two images of Sept. 29, 2000 and Nov. 22, 2002 were prepared. To identify the damaged areas, firstly, the NDVI (Normalized Difference Vegetation Index) of each image was computed, secondly, the NDVI values were reclassified as two categories that the negative index values including zero are the one and the positive index values are the other, thirdly the reclassified image before typhoon is subtracted from the reclassified image after typhoon to get DNDVI (Differential NDVI). From the DNDVI image, the flooded and damaged areas could be extracted.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.34 no.2
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• pp.195-206
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• 2016

The remote sensing technique using SAR data have many advantages when applied to the disaster site due to its wide coverage and all-weather acquisition availability. Although a single-pol (polarimetric) SAR image cannot represent the land surface better than a quad-pol SAR image can, single-pol SAR data are worth using for disaster-induced change detection. In this paper, an automatic change detection method based on a mixture of GGDs (generalized Gaussian distribution) is proposed, and usability of the textural features and intensity is evaluated by using the proposed method. Three ALOS/PALSAR images were used in the experiments, and the study site was Norita City, which was affected by the 2011 Tohoku earthquake. The experiment results showed that the proposed automatic change detection method is practical for disaster sites where the large areas change. The intensity information is useful for detecting disaster-induced changes with a 68.3% g-mean, but the texture information is not. The autocorrelation and correlation show the interesting implication that they tend not to extract agricultural areas in the change detection map. Therefore, the final tsunami-induced change map is produced by the combination of three maps: one is derived from the intensity information and used as an initial map, and the others are derived from the textural information and used as auxiliary data.

• The Korean Journal of Community Living Science
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• v.13 no.3
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• pp.69-80
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• 2002

This study was conducted to investigate the relationship among body image Perception, eating behavior and health status in young females. The survey was carried out by self-questionnaires for 293 female high school students(HS) and 164 female college students(CS) living in Daegu and suburbs of Daegu. For the perception of body image, 9-grade body figure drawings were used based on average Korean body size. EAT-26 and Rosenberg Self-Esteem Scale were used to measure the tendency of eating disorder and self-esteem. It appeared that 40.5% of the subjects were off the normal range of body weight; especially 34.2% of the subject were underweight. The subjects' perception about current body image was within normal range. Almost of all the subjects believed that the ideal body image was thinner than their own current body image, and they wanted to be thinner than their current body image. The change of eating behaviors related to weight control of CS was significantly higher than that of HS students. EAT-26 score, self-esteem score, and subjective health status score were no difference between groups. The cut-off point of the eating disorder in this study was equal to or greater than 20 in EAT-26 score. The rates of the eating disorder were very high as 9.6% of HS and 8.5% of CS. Eating disorder was positively correlated with BMI, current body image, dissatisfaction of body image and the change score of eating behavior. But eating disorder was negatively correlated with health status. From the results of this study, we suggested that one of causes related to the eating disorder behaviors in adolescent females was resulted from misperception about ideal body image. There is a great need to provide nutrition educations concerning appropriate perception of body image and weight control among adolescent females.