• Journal of the Korean Institute of Rural Architecture
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• v.1 no.2
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• pp.119-131
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• 1999

College is a component of local community, which is not separated from the community, seeks the local development through the extension of opportunity for the local students to enter higher schools, improvement of local culture and environment, extension of production education, research on local community, supply of side job manpower and lecture attendance system and affects the local community with the increase of young population. It is found that after the College is founded in the research area, the whole image of physical and psychological evolution of College according to the change factors like the change of use of neighboring regions and business items is relatively active, has the connection to the region and shows the strong continuous image. Accordingly, College must seek the mutually organic relationship which local community and be a foundation for the local development by leading to the formation of neighboring region around campus.

• Journal of Internet Computing and Services
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• v.19 no.1
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• pp.105-111
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• 2018

This paper presents the analysis of image quality with FHD(Full HD) resolution camera equipped DIC(Digital Image Correlation) platform for the measurement of the architectural structure's relative displacement. DIC platform was designed based on i.MX6 of Freescale. Displacement measurement based on DIC method, the error is affected by image quality factors as pixel number, brightness, contrast, and SNR[dB](Signal to Noise Ratio). The effect were analyzed. The displacement of ROI(Region Of Interest) area within the image was measured by sub-pixel units based on DIC method. The non-contact telemetry property of DIC method, it can be used to long distance non-contact measurement. The various displacement results was measured and analyzed with the image quality factor adjustment according to the distance(25m, 35m, 50m).

• Korean Journal of Remote Sensing
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• v.38 no.1
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• pp.33-43
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• 2022

This study presents a method to restore an optical satellite image with distortion and occlusion due to fog, haze, and clouds to one that minimizes degradation factors by referring to the same type of peripheral image. Specifically, the time and cost of re-photographing were reduced by partially occluding a region. To maintain the original image's pixel value as much as possible and to maintain restored and unrestored area continuity, a simulation restoration technique modified with the Cycle Generative Adversarial Network (CycleGAN) method was developed. The accuracy of the simulated image was analyzed by comparing CycleGAN and histogram matching, as well as the pixel value distribution, with the original image. The results show that for Site 1 (out of three sites), the root mean square error and R² of CycleGAN were 169.36 and 0.9917, respectively, showing lower errors than those for histogram matching (170.43 and 0.9896, respectively). Further, comparison of the mean and standard deviation values of images simulated by CycleGAN and histogram matching with the ground truth pixel values confirmed the CycleGAN methodology as being closer to the ground truth value. Even for the histogram distribution of the simulated images, CycleGAN was closer to the ground truth than histogram matching.

• Journal of the Korean Institute of Rural Architecture
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• v.24 no.3
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• pp.1-11
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• 2022

Purpose: This place, which is currently becoming an issue due to historical preservation and landscape protection, is also a place where urban residents around Taereung actually visit often. Thus, this study aims to analyze the importance of the evaluating factors in creating a relatable image of the city. Methods: Evaluation items were selected by reviewing related books and research literatures and reassessing the reviewed items through an expert group interview (FGI). For the selected evaluation items, the relative importance of the evaluation items for the place image was analyzed by applying the hierarchical analysis technique (AHP) to each user group. Result: A place becomes a memory in people's experiences and time, and it has the image and identity of the region where those experiences and memories are found again as a space called "place". The method of analyzing the importance of evaluation items between place images used in this study quantified the factors recognized as abstract images and identified the degree of influence between elements, but has limitation in that it targeted specific places. However, the analysis method on the place image recognition suggests the use of itemized variables for characteristics between place images, so future research on the identity of other place images can be conducted together. Also, the evaluation method of the image that recognizes the place has an objective meaning in that it can measure the image of the place quantitatively. In the future, it can be applied in creating an image forming factor or urban identity for place recognition in many regions

• Journal of Information Technology Services
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• v.17 no.1
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• pp.17-32
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• 2018

The city image is considered one of important symbolic and important factors in selecting the travel destination. Many cities are trying to be an attractive and popular city to tourists through the construction of a good brand image by utilizing their representative characteristics. This study measures the city brand image by applying a big data analytic method. In addition, the big data measurement results were rearranged and analyzed to identify further detailed city images by utilizing several previous interpretation methods. Our study has chosen Dubai since this city has the diverse images due to its regional as well as economic characteristics. In particular, nowadays Dubai has been recognized as one of the most important touristic places in the Middle East region for its modern and innovative images in spite of the limitations of location, weather, religion, and even political issues of neighbor countries. Founded on a big data analysis rather than a questionnaire-based survey, the presented interpretation methods are evaluated to improve the understanding of Dubai's diverse city images. In addition, based on the results of this research, it is expected to have a practical impact on establishing the effective marketing strategies to build and implement the valuable city brand image.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.9
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• pp.109-117
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• 1997

A new relaxation algorithm based on distribution of matched errors and possibility is proposed to solve efficiently correspondence problem. This algorithm can be applied to various method, such as BMA, feature-, and region-based matching methods, by modifying its smoothness function. It consists of two stages which are transformation and iteration process. In transformation stage, the errors obtained by any matching algorithm are transformed to possibility values according to these statistical distribution. Each grade of possility is updated by some constraints which are defined as smoothness, uniqueness, and discontinuity factor in iteration stage. The discontinuity factor is used to reserve discontinuity of disparity. In conventional methods, it is difficult to find proper weights and stop condition, because only two factors, smoothness and uniqueness, have been used. However, in the proposed mthod, the more smoothing is not ocurred because of discontinuity factor. And it is efective to the various image, even if the image has a severe noise and repeating patterns. In addition, it is shown that the convergence rate and the quality of output are improved.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.4
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• pp.143-152
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• 2022

The purpose of this paper is to investigate the impact of several factors on students' decisions to attend a public institution in Vietnam's North Central area. The enrollment issue toward regional institutions is particularly critical in the Vietnam Ministry of Education and Training reforming the university enrollment process and the complicated scenario of the Covid-19 pandemic. A total of 500 students were surveyed for research samples. Data is synthesized, validated, cleaned, and analyzed using SPSS and AMOS software using methods including reliability, EFA, CFA, and SEM. The findings suggest that the proposed independent components (individual factors, study fees, advertisement, infrastructure and facilities, local features, and lastly, training activities) have a beneficial impact on students' decision to attend a public university in the North Central region. The study also found that the graduation exam outcome had a moderating effect on the relationship between registration and students' decisions. These imply targeted solutions for regional public universities to diversify training majors, improve training quality, capitalize on local advantages, increase interaction, and promote training programs and image to be more effective in attracting students and maintaining competition in the current enrollment environment.

• Journal of the Korea Furniture Society
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• v.18 no.3
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• pp.224-233
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• 2007

What is culture-products? Culture-products contains identity of nation and region. French critic Guy Sorman says "It is natural that buying culture-products when you travel any countries" Culture-products which contains our own cultural factors will give positive image of country. The research and development of grafting grudge experience culture-products was advanced the characteristic of area-culture that necessary is prerequisite. We need to develop culture-products which mixed regional culture and characteristic. We would like to research about Baekje culture and culture-products and sales products in museum. Museum is one of the tourist's attractions and great place to express regional factors. The culture-products are specially limited in the products which reflects a Baekje culture with Muryeong's tomb in Gong-ju and Baekje incense burner in Bu-Yeo it advanced. We hope that this research could help to understand market of culture-products and development.

• The International Journal of Costume Culture
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• v.13 no.1
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• pp.51-61
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• 2010

The purpose of this research was to investigate the effects of clothing style and color of male casual wear on image perceptions and age evaluations. $4{\times}2$ (top color${\times}$trouser color) and $2{\times}3{\times}2$ (clothing style${\times}$clothing hue${\times}$clothing chroma) factorial designs were used as the experiment designs. Photoshop program was used to manipulate the clothing colors after creating photos of models wearing experiment clothing for stimulus. Subjects were 280 female college students from Seoul region and each subject responded to two stimuli. Factor analysis showed four factors of images of male casual wear; sociability, conspicuousness, softness and masculinity. Polo shirts were evaluated higher in sociability and softness than jumpers and nary blue trousers were evaluated higher in masculinity than beige trousers. High chroma clothing was assessed higher in sociability and conspicuousness than low chroma clothing. High chroma red jumpers displayed very sociable feel and low chroma blue jumpers displayed the lowest sociability. High chroma male clothing resulted in younger age perception but age was evaluated young when a black shirt was worn under the jacket when wearing a low chroma jacket.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.64 no.1
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• pp.82-89
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• 2015

The researches of image recognition have been processed traditionally. Especially, face recognition technology has been received attractions with advance and applied to various areas according as camera sensor embedded into many devices such as smart phone. In this study, we design and develop a feature vector generation technique of face for making animation caricatures using methods for face detection which are previous stage of face recognition. At first, we detect both face region and detailed eye region of component element by Viola&Johns's realtime detection method which are called as ROI(Region Of Interest). And then, we generate feature vectors of eye region by utilizing factors as opposed to the periphery and by using appearance information of eye. At this point, we focus on the embedded information in many color spaces to overcome the problems which can be occurred by using one color space. We propose a feature vector generation method using information from many color spaces. Finally, we experiment the test of feature vector generation by the proposed method with enough quantity of sample picture data and evaluate the proposed method for factors of estimating performance such as error rate, accuracy and generation time.