• Journal of the Korea Institute of Information and Communication Engineering
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• v.17 no.5
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• pp.1145-1153
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• 2013

Android mobile platform copy the class files of all applications installed in android platform and keep them into one directory. But to add the service library into a platform, Android must generate a new binary image of platform and replace the platform because android refer the libraries using the memory-mapped file method in a directory. And this memory-mapped file reference method waste the storage space of mobile device because that directory include the duplicated libraries if the libraries refered by application are duplicated, Therefore a dynamic reconfiguration method on android mobile platform is needed to manage the service libraries of application executed on android platform and support the version management and function addition/modification. In this paper, we propose the platform dynamic reconfiguration method to add dynmically the service libraries on android platform.

• The Journal of the Korea Contents Association
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• v.21 no.3
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• pp.23-32
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• 2021

Semantic image segmentation technology in the field of computer vision is a technology that classifies an image by dividing it into pixels. This technique is also rapidly improving performance using a machine learning method, and a high possibility of utilizing information in units of pixels is drawing attention. However, this technology has been raised from the early days until recently for 'lack of detailed segmentation' problem. Since this problem was caused by increasing the size of the label map, it was expected that the label map could be improved by using the edge map of the original image with detailed edge information. Therefore, in this paper, we propose a post-processing algorithm that maintains semantic image segmentation based on learning, but modifies the resulting label map based on the edge map of the original image. After applying the algorithm to the existing method, when comparing similar applications before and after, approximately 1.74% pixels and 1.35% IoU (Intersection of Union) were applied, and when analyzing the results, the precise targeting fine segmentation function was improved.

• Journal of KIISE
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• v.44 no.9
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• pp.932-945
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• 2017

In this paper, a new hardware and software architecture for a stereo vision processing system including rectification, disparity estimation, and visualization was developed. The developed method, named LArge scale stereo matching method using Support Point Interpolation (LASPI), shows excellence in real-time processing for obtaining dense disparity maps from high quality image regions that contain high density support points. In the real-time processing of high definition (HD) images, LASPI does not degrade the quality level of disparity maps compared to existing stereo-matching methods such as Efficient LArge-scale Stereo matching (ELAS). LASPI has been designed to meet a high frame-rate, accurate distance resolution performance, and a low resource usage even in a limited resource environment. These characteristics enable LASPI to be deployed to safety-critical applications such as an obstacle recognition system and distance detection system for autonomous vehicles. A Field Programmable Gate Array (FPGA) for the LASPI algorithm has been implemented in order to support parallel processing and 4-stage pipelining. From various experiments, it was verified that the developed FPGA system (Xilinx Virtex-7 FPGA, 148.5MHz Clock) is capable of processing 30 HD ($1280{\times}720pixels$) frames per second in real-time while it generates disparity maps that are applicable to real vehicles.

• Tunnel and Underground Space
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• v.33 no.6
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• pp.508-518
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• 2023

This paper presents a new approach for the automatic mapping of discontinuities in a tunnel face based on its 3D digital model reconstructed by LiDAR scan or photogrammetry techniques. The main idea revolves around the identification of discontinuity areas in the 3D digital model of a tunnel face by segmenting its 2D projected images using a deep-learning semantic segmentation model called U-Net. The proposed deep learning model integrates various features including the projected RGB image, depth map image, and local surface properties-based images i.e., normal vector and curvature images to effectively segment areas of discontinuity in the images. Subsequently, the segmentation results are projected back onto the 3D model using depth maps and projection matrices to obtain an accurate representation of the location and extent of discontinuities within the 3D space. The performance of the segmentation model is evaluated by comparing the segmented results with their corresponding ground truths, which demonstrates the high accuracy of segmentation results with the intersection-over-union metric of approximately 0.8. Despite still being limited in training data, this method exhibits promising potential to address the limitations of conventional approaches, which only rely on normal vectors and unsupervised machine learning algorithms for grouping points in the 3D model into distinct sets of discontinuities.

• Journal of the Korean Institute of Landscape Architecture
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• v.49 no.4
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• pp.64-73
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• 2021

The purpose of this study is to present a method to assess the landscape aesthetic value of Bukhansan National Park using geotagged images that have been shared on social media sites. The method presented in this study consisted mainly of collecting geotagged image data, identifying landscape images, and analyzing the cumulative visibility by applying a target probability index. Ramblr is an application that supports outdoor activities with many users in Korea, from which a total of 110,954 geotagged images for Bukhansan National Park were collected and used to assess the landscape aesthetics. The collected geotagged images were interpreted using the Google Vision API, and were subsequently were divided into 11 landscape image types and 9 non-landscape image types through cluster analysis. As a result of analyzing the landscape types of Bukhansan National Park based on the extracted landscape images, landscape types related to topographical characteristics, such as peaks and mountain ranges, accounted for the largest portion, and forest landscapes, foliage landscapes, and waterscapes were also commonly found as major landscape types. In the derived landscape aesthetic value map, the higher the elevation and slope, the higher the overall landscape aesthetic value, according to the proportion and characteristics of these major landscape types. However, high landscape aesthetic values were also confirmed in some areas of lowlands with gentle slopes. In addition, the Bukhansan area was evaluated to have higher landscape aesthetics than the Dobongsan area. Despite the high elevation and slope, the Dobongsan area had a relatively low landscape aesthetic value. This shows that the aesthetic value of the landscape is strongly related not only to the physical environment but also to the recreational activities of visitors who are viewing the scenery. In this way, the landscape aesthetics assessment using the cumulative visibility of geotagged images is expected to be useful for planning and managing the landscape of Bukhansan National Park in the future, through allowing the geographical understanding of the landscape values based on people's perceptions and the identification of the regional deviations.

• Journal of the Korean Society of Costume
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• v.66 no.7
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• pp.50-68
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• 2016

The objectives of this study are to identify the self-image and preferred fashion styles that Korean career women seek in different daily situations, and to propose a positioning map in accords with the findings. The study conducted a survey and in-depth interviews. The study used twenty items of self-image adjectives extracted from existing studies, and eighteen fashion style stimuli collected by examining women's wear brands. The study surveyed 329 career women. Their daily situation was classified into five situations; external meeting and presentation, ordinary work, wedding and family gathering, blind date or date, and meeting with friends and acquaintances. The analysis results of this study showed that self-image and fashion style preferences are relevant to daily situation. The image most sought in external meetings and presentation was the 'Elegant' image, and the image most sought in meetings with friends and acquaintances was the 'active' image. Women on dates or blind dates sought the 'feminine' image the most, however they preferred to avoid this image during external meetings and presentations. Among fashion styles, the 'elegant/classic' style was most preferred, and the 'sexy/avant-garde' style had the lowest preference among all the styles. 'Mannish' was preferred in ordinary work and meeting with friends and acquaintances, however, it was shown as having the lowest preference level in blind dates or dates. The 'romantic/natural' style was highly preferred in meeting with friends and acquaintances, however it had a low level of preference for external meetings and presentations. This study has significance in providing practical information to utilize in fashion industry by identifying the relationship between self-image and preferred fashion style sought by career women according to daily situation, and using the results to propose a positioning map.

• The Journal of the Korea Contents Association
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• v.11 no.8
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• pp.59-67
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• 2011

Digital Contents have been considered as major parts in the areas, such as design, cartoon, video and etc. A number of Digital Contents are made with the works of popular computer program, Photoshop, and used in some courses of making works. Channel is obviously regarded as a high-level function among others in using Photoshop, even though it hinder a lot of users in understanding the way and the principle to use. Channel and Displacement Map have something in common, because they share the infoshade of channel. The infoshade is the information of 256 levels which consists of black and achromatic colors between white and black color. The infoshade of Channel is used as a concept of movement in Displacement Map. Displacement Map analyzes infoshade in 'Displacement map images' and transfer the pixels of original images under the application of displacement map. This means that the infoshade of Channel can be made for the application with characteristic of movement. This study was carried out to analyze the principle of application of infoshade in 'Displacement Map' with Photoshop. Thus, the central aim of this study is not so much studying engineering algorithm as studying and analyzing the principle of Channel's infoshade through studying how the infoshade of channel is applied in the work.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.22 no.9
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• pp.1214-1219
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• 2018

A variety of VR contents are being introduced as of 2017. VR contents are concentrated in the genre of games and interactive because of the difficulty of $360^{\circ}$ shooting production environment. Live action $360^{\circ}$ VR content has many problems due to the difficulty of the production environment. In this paper, a three - dimensional information value is generated in binocular disparity of a real image by using a re-light technique based on real image data. The generated 3D information values are combined with a technique of converting the depth information into a depth map and a re-light technique by installing virtual lighting on the surface formed in the 3D space. In order to solve the problem of lighting exposure, we apply the technique of re-lighting to the VR production pipeline by comparing and analyzing the result image of actual image and virtual image data.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.6
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• pp.1011-1018
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• 2006

Due to rapid development of mobile communication terminals and various requests of their users, multimedia information including image information has been the basis of mobile communication contents. In order to use vectored image information efficiently, which is more favorable than bit-mapped image information when transmission delay time and costs are considered, efficient vector graphics supporting systems are needed. Therefore, vector graphics kernel systems have been proposed and standardization attempts have been made in order to increase interoperability. In this paper, a vector graphics kernel based on OpenVG is designed and implemented. OpenVG was proposed as a standard vector graphics kernel by Khronos Group recently. The implemented vector graphics kernel, named by alexVG, is developed on a PC emulator as well as on a development board equipped with an ARM processor. In addition, performance tests are made in order to verify its functions.

• Journal of Fashion Business
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• v.6 no.4
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• pp.1-16
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• 2002

The purpose of this study is to investigate any differences in perception of fashion brand positioning between a manufacturer and a consumer. So this can provide theoretical suggestions for the development of brand positioning strategy for fashion brand. For this study, three brands, (MINE, TELEGRAPH, and MICHAA,) were selected by the criteria. The data were collected via a selfadministered questionnaire and analysed by the statistical method. The results of investigation were as follows: 1. The consumers had good attitudes in the order following: MINE, MICHAA, and TELEGRAPH in the factors1). In the case of purchasing the goods, the result of the research showed presented that the consumer had better attitudes than in the case of unpurchasing the goods. Contrary to our expectation, TELEGRAPH has the best attitude in personality, one of the factors. 2. In the image positioning map between the manufacturer and the consumer, the consumer had the same perception about the manufacturer. However, there is a gap on the degree of agreement for positioning map. In the case of purchasing the goods, the result of the research represents that the consumers are similar to the manufacturer in perception of the image positioning. 3. In the results of forming attitudes and recognizing brand by the consumer, there is a difference in brand positioning. The display and the shop appearance are very important means of attractions very to the consumers but salesmen‘s service or direct mail (DM) do not appeal to the consumer.