• 복식
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• 제59권9호
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• pp.115-130
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• 2009

A kind of Korean traditional jacket, Baeja, has been a Korean traditional costume equipped with practicality and formative aesthetics from the Three Kingdoms period to the Joseon Dynasty. Accordingly, the researcher of this study highly valued a modern sense of Baeja with various types of design and forms and attempted to make efforts to apply it into modern life. This study provided a new direction in the modernization work of traditional costumes by creating fashion images newly interpreted corresponding to a modern sense and trend through the application of formative characteristics and noticeable elements via the coordination of traditional Baeja and modern costumes. On the one hand, it would be meaningful in terms of contributing to the activation of traditional Hanbok by providing people with ample opportunities to wear it in modern daily lives variously. On the other hand, the actual purpose of this study was to perform a modernization work for traditional costumes by attempting to conduct a crossover that could let people move into other areas freely, that is, a creative and innovative research associating the area of costume history and that of coordination.

• 한국생활과학회지
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• 제15권2호
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• pp.303-316
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• 2006

The present study deals with developing a new modem design of quilt which is characteristic of Korean traditional patterns. The goal of this study is to make some samples of the pattern as a basic motive of quilt work by using some Korean traditional patterns that could be found in roof tiles, windows, Neung-Hwa (a kind of wood cut for printing book covers), and others. This study examines the concept of quilts, their historical background, and their characteristics. This study also examines traditional patterns that are applicable to the patchy work of quilt, discussing the characteristic of both the Korean patterns and Nubi (Korean traditional quilt). In the process of pattern development, the original patterns were simplified and transformed to apply them to the modem quilt pattern. Fabrics (100% cotton) of similar colors were used to emphasize quilting lines. This study has found followings; 1) The geometric pattern usually consists of dots, lines, and faces. These patterns are suitable for pieced quilts. 2) The curvilinear pattern found in roof tiles or Yi-Dynasty coins, can be easily re-expressed by the applique technique. Combinations of fabrics and motive compositions can express quilts in realistic and creative ways. 3) Addition of Korean traditional quilt techniques, such as parallel lines or swastika stitches, to the traditional object-derived quilt patterns led to the creation of images close to the already existing Korean quilt, Nubi.

• 유통과학연구
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• 제15권3호
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• pp.39-47
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• 2017

Purpose - The purpose of this study is to measure the effect of brand awareness by color marketing to purchase and revisit intentions in Traditional Markets. Research design, data, and methodology - For this study, 5 point Likert-scale was used based on previous research. Used SPSS ver.22, factor analysis and Cronbach's alpha, regression and correlation were tested. 254 samples were used for the analysis. Results - The three attributes of color marketing(symbolism, identifiability, association) exerted significant effects on brand awareness of traditional marketing explained 38.7% of the variance. Thus, , , and were supported. However, was not supported. Conclusions - Colors play important roles in establishing new images in consumers' minds. The visual sense affects emotions and attitudes and most of the visual sense is affected by colors. Colors that we see move people's heart and induce atmospheres thereby greatly affecting humans' physical and mental activities. To increase traditional market brand awareness, it is necessary for traditional markets to display a level of attractiveness through the use of colors and visuals. So to use color marketing in traditional market is very important for brand awareness which can cause purchase and traditional market revisit intension.

• 한국의류학회지
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• 제34권7호
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• pp.1053-1064
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• 2010

This study investigates the Korean loungewear market and the traditional culture values of consumers related to loungewear to examine the preference of Korean traditional details, sewing techniques in loungewear design, and purchasing intentions. A survey method was used in this study. A total of 230 self-administered questionnaires were obtained from female consumers and 214 data sets were used for analysis. For the analysis, factor analysis, cluster analysis, and ANOVA were executed with PASW Statistics 18.0 and a structural equation model was estimated by Amos 18.0. The results are as follows. Traditional culture values were classified into two dimensions, traditional succession value and traditional design preference value. In the structure equation model, the traditional design preference value had a significant effect on the preference and the traditional culture succession value had significant effect on purchase intention. The results proved that the preference on loungewear with Korean traditional elements is closely related to purchase intention. Consumer groups were divided into three groups by traditional culture values factor; traditional culture succession group, traditional design preference group, and traditional culture indifference group. Style preference images showed significant differences in relation to traditional culture groups. This study is for use as fundamental knowledge on traditional loungewear brand development and strategy planning by offering specific traditional culture aspects associated with preference and purchase intentions.

• 한국측량학회지
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• 제35권4호
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• pp.319-326
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• 2017

SAR (Synthetic aperture radar) images are less affected by the weather compared to optical images and can be obtained at any time of the day. Therefore, SAR images are being actively utilized for military applications and natural disasters. However, because SAR data are in grayscale, it is difficult to perform visual analysis and to decipher details. In this study, we propose a color mapping method using RF (random forest) regression for enhancing the visual decipherability of SAR images. COSMO-SkyMed 2 and WorldView-3 images were obtained for the same area and RF regression was used to establish color configurations for performing color mapping. The results were compared with image fusion, a traditional color mapping method. The UIQI (universal image quality index), the SSIM (structural similarity) index, and CC (correlation coefficients) were used to evaluate the image quality. The color-mapped image based on the RF regression had a significantly higher quality than the images derived from the other methods. From the experimental result, the use of color mapping based on the RF regression for SAR images was confirmed.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제13권1호
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• pp.67-72
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• 2013

Cloud detection and analysis from satellite images has been a topic of research in many atmospheric and environmental studies; however, it still is a challenging task for many reasons. In this paper, we propose a new method for cloud-type classification using fuzzy logic. Knowing that visible-light images of clouds contain thickness related information, while infrared images haves height-related information, we propose a two-layered fuzzy logic based on the input source to provide us with a relatively clear-cut threshold in classification. Traditional noise-removal methods that use reflection/release characteristics of infrared images often produce false positive cloud areas, such as fog thereby it negatively affecting the classification accuracy. In this study, we used the color information from source images to extract the region of interest while avoiding false positives. The structure of fuzzy inference was also changed, because we utilized three types of source images: visible-light, infrared, and near-infrared images. When a cloud appears in both the visible-light image and the infrared image, the fuzzy membership function has a different form. Therefore we designed two sets of fuzzy inference rules and related classification rules. In our experiment, the proposed method was verified to be efficient and more accurate than the previous fuzzy logic attempt that used infrared image features.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.47-51
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• 2005

Using satellite images, an optimal solution to water motion has been presented in this study. Since temperature patterns are suitable tracers in water motion, Sea Surface Temperature (SST) images of Caspian Sea taken by MODIS sensor on board Terra satellite have been used in this study. Two daily SST images with 24 hours time interval are used as input data. Computation of templates correspondence between pairs of images is crucial within motion algorithms using non-rigid body objects. Image matching methods have been applied to estimate water body motion within the two SST images. The least squares matching technique, as a flexible technique for most data matching problems, offers an optimal spatial solution for the motion estimation. The algorithm allows for simultaneous local radiometric correction and local geometrical image orientation estimation. Actually, the correspondence between the two image templates is modeled both geometrically and radiometrically. Geometric component of the model includes six geometric transformation parameters and radiometric component of the model includes two radiometric transformation parameters. Using the algorithm, the parameters are automatically corrected, optimized and assessed iteratively by the least squares algorithm. The method used in this study, has presented more efficient and robust solution compared to the traditional motion estimation schemes.

• 대한원격탐사학회지
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• 제20권5호
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• pp.315-327
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• 2004

Nowadays, interests in land cover classification using not only multi-sensor images but also thematic GIS information are increasing. Often, although useful GIS information for the classification is available, the traditional MLE (maximum likelihood estimation techniques) does not allow us to use the information, due to the fact that it cannot handle the GIS data properly. This paper propose two extended MLE algorithms that can integrate both remote sensing images and GIS thematic data for land-cover classification. They include modified MLE and Bayesian predictive likelihood estimation technique (BPLE) techniques that can handle both categorical GIS thematic data and remote sensing images in an integrated manner. The proposed algorithms were evaluated through supervised land-cover classification with Landsat ETM+ images and an existing land-use map in the Gongju area, Korea. As a result, the proposed method showed considerable improvements in classification accuracy, when compared with other multi-spectral classification techniques. The integration of remote sensing images and the land-use map showed that overall accuracy indicated an improvement in classification accuracy of 10.8% when using MLE, and 9.6% for the BPLE. The case study also showed that the proposed algorithms enable the extraction of the area with land-cover change. In conclusion, land cover classification results produced through the integration of various GIS spatial data and multi-spectral images, will be useful to involve complementary data to make more accurate decisions.

• 패션비즈니스
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• 제26권5호
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• pp.76-90
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• 2022

The rapid growth and influence of digital technologies have had a profound effect on modern society. Companies and businesses can connect through SNS(social network service accounts). The importance of mass media empowers the creation of virtual images that are more realistic than time and space. Unlike traditional reproduction or imitation, the virtual images created in this way are reproduced in a form that lacks the original inspiration's essence. Jean Baudrillard described this phenomenon as the theory of simulation. Baudrillard argued that imitated simulated images replace reality. He stated that reality is lost under excessive images in modern society. In response, based on an understanding of the theory of hyper-reality that emerged through the late stages of the order of simulacre, this study aimed to analyze modern fashion's method of reproducing hyper-real images and investigate the method's characteristics. This study examined the characteristics of hyper-reality described by Baudrillard and analyzed the method of artistic expression of hyper-reality. Based on this method of expression, reproducibility, following the stages of image simulation, was derived. A specific case applied to fashion was analyzed, and based on the image reproduction method, specific characteristics of hyper-reality characteristics in fashion were obtained. Sixty-four collections were selected, out of which 155 images and 43 brands demonstrated the principles of image transformation.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.202-209
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• 2023

In the 21st century, the dualistic worldview of the Cold War era collapsed and we entered an era of new creation and fusion. The fusion of different designs between East and West, the design activities of traditional clothing from the past, the use of new materials that are continuously being developed, and the mixing of unique items are being conducted in various fields. However, research is being conducted by combining fusion characteristics with hair. In addition, the period is short and the amount of research is small. Therefore, this study analyzed hairstyles of fusion images shown in hair collection using data of Juno Hair collection from 2013 to 2022 as analysis data and examined types of fusion images shown in the work of folk images, mixed images, and future images. Oriented images were divided into three categories and analyzed. In this study, we added Results of such research can be used not only as data for predicting future fashion trends, but also as basic data for exploring new design developments. In future research, it is expected that convergent research will be conducted, such as analyzing fusion images from an integrated perspective.