• Journal of the Regional Association of Architectural Institute of Korea
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• v.20 no.6
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• pp.63-70
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• 2018

This study is aimed to reflect the current status survey, analysis and response of 10 railway stations using geographical names in one of 19 stations located on Gyeongbu, Honam and Chungbuk line. Most railway stations in the study have shown normal images that are close to the standard type by selecting similar building materials rather than reflecting geographical features. Aside from the shape of the traditional Korean house in Cheongju, almost all newly constructed stations tend to incorporate light gray plating material on their modern exterior to produce Family look design as a railroad station. According to a survey of the sensitivity of the station's name, Osong Station was 73.6 percent, Gyeryong Station 67.3 percent, Heukseok-ri Station was 64.5 percent, Shintan-jin 62.6 percent, and Yeonsan Station 57 percent, more than half. Therefore, the results of the five stations were presented as a calculation and proposed design release focusing on the facades of each station. Each of these stations suggested a way to express the facade design image, considering the railway operation status of Korea Railroad, the area of the station and other surroundings.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.59 no.6
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• pp.1136-1142
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• 2010

In this study, an efficient removal algorithm for specular reflections in a tooth color image is proposed to minimize the artefact interrupting color image segmentation. The pixel values of RGB color channels are initially reversed to emphasize the features in reflective regions, and then those regions are automatically detected by utilizing perceptron artificial neural network model and those prominent intensities are corrected by applying a smoothing spatial filter. After correcting specular reflection regions, multiple seeds in the tooth candidates are selected to find the regional minima and MCWA(Marker-Controlled Watershed Algorithm) is applied to delineate the individual tooth region in a CCD tooth color image. Therefore, the accuracy in segmentation for separating tooth regions can be drastically improved with removing specular reflections due to the illumination effect.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.8 no.5
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• pp.373-383
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• 2015

This paper proposes a decision support system to recognizing retinal diseases. This paper uses a smartphone platform and cloud computing as the base of the system. A microscopic lens is attached int' the smartphone camera to capture the user retinal image for recognizing the user's retinal condition. An application is assembled in computer and then installed in to the smartphone. The application role is to connect between the system in smartphone and system in cloud, the application will send the retinal image to the cloud system to be classified. The paper uses OCFE (optimized classifier based on feature elimination) algorithm as the classifier. The retinal image is trained using combination of two ophthalmology databases DIARETDB1 v2.1 and STARE. Therefore, this system average accuracy is 88%, while the average error rate is 12%.

• Journal of the Korean Institute of Landscape Architecture
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• v.31 no.4
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• pp.39-48
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• 2003

The Office of Korean National Railroads announced a design competition for Kwangyang Station and sought design proposals in October of 2002. The authors collaborated on a landscape design for Kwangyang Station and earned first prize in the competition. The Office decided to construct outdoor public spaces of Kwangyang Station for railroad users, visitors and staff, and local residents. The landscape design covers the following: site inventory and analysis; integration of design program and site analysis; evaluation of design concept; selecting a winning design alternative; schematic design including circulation form and spatial form; and design development including subarea design. In the design process, the authors focused on the integration and interpretation of site conditions as related to the Kwangyang Station building. They also collectively analyzed and considered the physical development of the outdoor spaces of Kwangyang Station. The following are some of the major areas in the design of the outdoor spaces of Kwangyang Station: 1) a plaza for waiting, 2) an entry area for passengers, 3) a train cafeteria, 4) a cultural plaza, 5) an image wall, and 6) a symbolic pond. The plaza for waiting is created as a place for users to wait and rest. The entry area for passengers provides an area for pedestrians approaching, passing and strolling. The train cafeteria features trains, lawns, grasses and trees. The cultural plaza is a main area representing the regional characteristics of Kwangyang. This plaza also provides an area for various public events. The image wall is meant to be an exhibition space for displaying the advancements of Korean National Railroads in sculptural image forms. The symbolic pond consists of an area with symbolic water features and several sculptures with artistic value. In the authors' design, the outdoor spaces of Kwangyang station are created as a new type of public realm with function, regional quality, original identity, cultural context, symbolic meaning and images, and beauty. The designed spaces would be one of the most representative places of interest and attraction in Kwangyang.

• Korean Institute of Interior Design Journal
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• v.21 no.1
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• pp.280-288
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• 2012

The purpose of this study is to deduct influence factors by analyzing preferences for public design that can increase user satisfaction through differentiated identity of regions. The study methods are as follows. First, consider a concept and semantic change of public design through the relevant literatures and precedent studies and then understand application status of domestic and overseas public design. Second, extract design elements for regional differentiation through precedent studies and reclassify regional resources that have an effect. Third, understand the necessity level of public design for regional differentiation by targeting experts and research the extracted design element and the degree of reflection about regionality. Lastly, understand a correlation between design elements and influence factors about territorial regionality of public design based on the researched contents, and analyze the degree of reflection between each other. As a result of this study, a plan that used 'material' and 'color' had high preference on the aspect of design elements and this is an important element that can show regional differentiation of regions. public design of showing regional differentiation. Thus, it is considered that various methods of using 'material' and 'color' must be planned. 'Public space' among design territories was most effective, and the following was 'public facility'. In particular, 'public space' has high preference of using 'natural resources' and 'industrial resources', and therefore an effect of a plan that uses these is judged to be positive. This study can use these results as basic data that suggested the standard for utilization of regional factors for regional differentiation of public design.

• Korean Journal of Remote Sensing
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• v.33 no.6_1
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• pp.1003-1017
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• 2017

Multispectral image data of high spatial resolution is required to obtain correct information on the ground surface. The multispectral image data has lower resolution compared to panchromatic data. PAN-sharpening fusion technique produces the multispectral data with higher resolution of panchromatic image. Recently the object-based approach is more applied to the high spatial resolution data than the conventional pixel-based one. For the object-based image analysis, it is necessary to perform image segmentation that produces the objects of pixel group. Image segmentation can be effectively achieved by the process merging step-by-step two neighboring regions in RAG (Regional Adjacency Graph). In the satellite remote sensing, the operational environment of the satellite sensor causes image degradation during the image acquisition. This degradation increases variation of pixel values in same area, and results in deteriorating the accuracy of image segmentation. An iterative approach that reduces the difference of pixel values in two neighboring pixels of same area is employed to alleviate variation of pixel values in same area. The size of segmented regions is associated with the quality of image segmentation and is decided by a stopping rue in the merging process. In this study, the image restoration and segmentation was quantitatively evaluated using simulation data and was also applied to the three PAN-sharpened multispectral images of high resolution: Dubaisat-2 data of 1m panchromatic resolution from LA, USA and KOMPSAT3 data of 0.7m panchromatic resolution from Daejeon and Chungcheongnam-do in the Korean peninsula. The experimental results imply that the proposed method can improve analytical accuracy in the application of remote sensing high resolution PAN-sharpened multispectral imagery.

• The Journal of the Korea Contents Association
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• v.11 no.7
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• pp.131-141
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• 2011

Expression of color in national animation often delivered vaguely. This study will make up for vaguely meaning in terms of expression in color. And this study is intend to look the strategy and error of color in regional animation. This study is intend to arrange the situation of synesthesia effect of color which is applied as a keyword 'light' of Gwang-ju's image. Moreover, There is a bit difficulty in using synesthesia of color, but the use possibility is full of suggestions. Therefore, For regional animation, this study intend that in order to establish a new regional specialized animation, appropriateness of synesthesia effect of color in based animation is inspected and then the potential is emphasized.

• The Journal of the Convergence on Culture Technology
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• v.10 no.6
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• pp.91-97
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• 2024

As the issue of population decline in rural areas becomes more pressing, long stay tourism has emerged as a potential response, yet research on this topic remains limited. This study aims to examine the effects of long stay tourism attributes on regional image and visitation intention, focusing on the second baby boomer generation reaching the legal retirement age in Jeju Island. The long stay tourism attributes analyzed include natural environment, cultural environment, safety of living, convenience of living, and job environment. The findings indicate that the natural environment, cultural environment, and job environment positively influence the regional image and intention to visit as long stay tourist destinations. However, convenience of living was found to have a negative impact on visitation intention. Unlike existing research on long stay tourism, this study identifies the job environment as a unique characteristic of long stay tourism and confirms its significant influence on visitation intention. Therefore, local governments aiming to promote long stay tourism should focus on developing job opportunities in rural areas and enhancing accessibility to these jobs.

• Journal of the Korean association of regional geographers
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• v.11 no.4
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• pp.497-510
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• 2005

The purpose of this study was to examine the image similarity, preference, and the attribute recognition using multidimensional scaling. The analyses were carried out by 5 spa destinations located in Choongchung area. The results were as followings: first, considering the image similarity, the image of Suanbo & Onyang and Dogo & Asan were similar except for the Yusung. Second, considering the attribute recognition, Yusung had a stronger attribute reflecting spa tradition when compared to other competitive spa destinations. Onyang showed a strong attribute of facilities. Dogo had a stronger point about use cost. Suanbo had relatively strong attributes in terms of facilities, customer service, and accessability. However, the water quality of spa destination and activities were not reflected in attribute recognition because these two attributes was farthest from the spa destination. Third, considering the preference of selecting spa destinations, package tourists had a strong preference about Yusung, individual tourists, family, incentive tourists prefer Suanbo, followed by Dogo and Yusung. Group tourists had a strong preference about Dogo.

• Korean Journal of Remote Sensing
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• v.22 no.6
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• pp.601-612
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• 2006

This study proposes RAG (Region Adjancency Graph)-based image segmentation for large imagery in remote sensing. The proposed algorithm uses CN-chain linking for computational efficiency and multi-window operation of sliding structure for memory efficiency. Region-merging due to RAG is a process to find an edge of the best merge and update the graph according to the merge. The CN-chain linking constructs a chain of the closest neighbors and finds the edge for merging two adjacent regions. It makes the computation time increase as much as an exact multiple in the increasement of image size. An RNV (Regional Neighbor Vector) is used to update the RAG according to the change in image configuration due to merging at each step. The analysis of large images requires an enormous amount of computational memory. The proposed sliding multi-window operation with horizontal structure considerably the memory capacity required for the analysis and then make it possible to apply the RAG-based segmentation for very large images. In this study, the proposed algorithm has been extensively evaluated using simulated images and the results have shown its potentiality for the application of remotely-sensed imagery.