• Journal of Korea Multimedia Society
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• v.14 no.11
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• pp.1491-1499
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• 2011

Now a days, to make good use of tags is a general tendency when users need to upload or search some multimedia data such as images and videos on the Web. In this paper, we introduce an approach to calculate semantic importance of tags and to make re-ranking with them on tagged Web image retrieval. Generally, most photo images stored on the Web have lots of tags added with user's subjective judgements not by the importance of them. So they become the cause of precision rate decrease with simple matching of tags to a given query. Therefore, if we can select semantically important tags and employ them on the image search, the retrieval result would be enhanced. In this paper, we propose a method to make image retrieval re-ranking with the key tags which share more semantic information with a query or other tags based on Wikipedia-based semantic relatedness. With the semantic relatedness calculated by using huge on-line encyclopedia, Wikipedia, we found the superiority of our method in precision and recall rate as experimental results.

• Journal of Korea Multimedia Society
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• v.23 no.8
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• pp.1049-1058
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• 2020

'Instagrammable' is a new term which means a photo or a series of pictures are worth posting on Instagram. Since Instagram is an image-oriented social media platform, it is important to give users proper awareness through images in order to be an instagrammable post. In this study, we explored the proper delivery method of messages within instagrammable posts through the use of hashtags(#). Specifically, we paid attention to the use of 'Card News', which involves a series of images that form a short narrative. Hashtags play an important role that they often describe sharing intention of the post, and we found analyzing the use of hashtags in Card News posts is a good indicator of users' Instagram activities. Currently, there are more than 580k posts are found with the search keyword Card News, and the number is increasing. In this study, we collected and analyzed more than 50k hashtags on Instagram to explore how news stories are posted from both the general users and news media accounts. Furthermore, we conducted interviews with journalists to analyze how news media are making use of Instagram as a legitimate place to share news stories with impact.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2008.11a
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• pp.144-149
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• 2008

This study is aim to execute multiple analysis about housing plan to target middle old aged households. This results can be applied to an important information for housing plan of middle old aged households to search about how does housing plan realized through their consciousness, satisfactions and selection preference of housing. The detailed purpose of this study is stated in below. First, this study shows specific attributes of middle old aged households. Second, this study shows the consciousness of middle old aged households for housing. Third, this study shows the preferences of middle old aged households for housing. Forth, this study also shows the upcoming housing plans through the consideration of their consciousness and preferences for housing selection. All data of this study was achieved through questionnaire survey, personal interview and photo shooting. Totally three hundred seventy copies were used for final analysis to target middle aged people after forties in Ulsan. The questionnaires in this survey were consisted of 5 major items such as the attributes of social demography, housing values, preferences, satisfactions related to results of consciousness and housing choices.

• International Journal of Precision Engineering and Manufacturing
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• v.9 no.4
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• pp.79-82
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• 2008

A method is described for ideally reconstructing the profile from a surface profiling measurement containing a reasonable amount of null measurement data. The proposed method can conjecture lost information and rectify irregular data that result due to bad measuring environments, signal transmission noise, or instrument-induced errors, The method adopts the concept of computer graphics and consists of several processing steps. First, a search for valid data in the neighborhood of the null data is performed. The valid data are then grouped and their contours are extracted. By analyzing these contours, a bounding box can be obtained and the general distribution of the entire area encompassing the valid and null data is determined Finally, an ideal surface model is overlaid onto the measurement results based on the bounding box, generating a complete reconstruction of the calculations, A surface-profiling task on a liquid crystal display photo spacer is used to verify the proposed method. The results are compared to those obtained through the use of a scanning electron microscope to demonstrate the accuracy of the proposed method.

• KIISE Transactions on Computing Practices
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• v.21 no.10
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• pp.658-669
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• 2015

The paradigm of game development changes with technological trends. If the system can analyze and determine undefined inputs, users' input choices are not restricted. Therefore, game scenarios can have multifarious flows depending upon the user's input data. In this paper, we propose a method of including an output plan in the game system that is based on the user's input but is not restricted to predefined choices. We have implemented an experimental game on the Android platform by combining network communication and APIs. The game interface works as follows: first, the user's input data is transmitted to the server using HTTP protocol; then, the server carries out an analysis on the input data; and finally, the server returns the decision result to the game device. The game can provide users a scenario that corresponds to the decision results. In this paper, we used an image file for the user's input data format. The server calculates similarities between the user's image file and reference images obtained from the Naver Image Search API and then returns determination results. We have confirmed the value of integrating the game development framework with other computing technologies demonstrating the potential of the proposed methods for application to various future game interfaces.

• Journal of the Korean Institute of Landscape Architecture
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• v.50 no.6
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• pp.42-57
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• 2022

This study aims to create a basic model for classifying the activity photos that urban park users shared on social media using Deep Learning through Artificial Intelligence. Regarding the social media data, photos related to urban parks were collected through a Naver search, were collected, and used for the classification model. Based on the indicators of Naturalness, Potential Attraction, and Activity, which can be used to evaluate the characteristics of urban parks, 21 classification categories were created. Urban park photos shared on Naver were collected by category, and annotated datasets were created. A custom CNN model and a transfer learning model utilizing a CNN pre-trained on the collected photo datasets were designed and subsequently analyzed. As a result of the study, the Xception transfer learning model, which demonstrated the best performance, was selected as the urban park user activity image classification model and evaluated through several evaluation indicators. This study is meaningful in that it has built AI as an index that can evaluate the characteristics of urban parks by using user-shared photos on social media. The classification model using Deep Learning mitigates the limitations of manual classification, and it can efficiently classify large amounts of urban park photos. So, it can be said to be a useful method that can be used for the monitoring and management of city parks in the future.

• Journal of Korea Society of Industrial Information Systems
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• v.19 no.4
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• pp.133-146
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• 2014

This paper mainly focuses on the design factors of a website targeted at shopping mall websites in China and Korea. We formulated 15 different hypotheses regarding how those design factors are different. The targeted websites are "Gmarket" in Korea and "Taobao" in China. The selected design factors of a shopping mall website are (1) color and design, (2) photo, graphic, and font size, (3) the clarity of information delivery, (4) website structure, (5) screen balance, (6) product display, (7) product harmony, (8) a form of font and icon, (9) visual atmosphere, (10) differentiated color, (11) interesting words, (12) technical skills, (13) entire visual design and atmosphere, (14) navigation, (15) search function for products or information. As a result of analyzing the result using the SAS 9.2 package tool, we figured out that there was a difference between design factors. Additionally, we analyzed this difference and suggested a strategy to design the effective shopping mall web sites.

• Journal of the Korean Association of Geographic Information Studies
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• v.15 no.4
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• pp.55-64
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• 2012

This study developed a mobile application system for serving cadastral information needed to propel diverse cadastral works including cadastral resurvey efficiently. First, BlackPoint-Xr was selected as a spatial client engine to embody the cadastral information system based on mobile device including smart phone and tablet PC. The mobile cadastral information system contains functions such as finding location with GPS based on spatial information such as aerial photo, cadastral map, administrative map, and digital map, parcel search with address and lot number, finding land register including land address, the classification of land, and land price. Especially, this study developed functions which can analyze the measurement of distance, area, slope and cross-section elevation of land to apply construction work and land maintenance project. This system can support efficiently cadastral work and construction project by serving diverse cadastral information to users in field and can be also applied to the field of digital cadastral information.

• Journal of the Korea Fashion and Costume Design Association
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• v.17 no.1
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• pp.93-104
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• 2015

As interest grows in nursing-wear in accordance with dissemination of breast-feeding, a study on opening of nursing-wear is needed to enhance convenience of breast-feeding regardless of location. In this study, the items on nursing-wear were classified and each characteristic was analyzed. The types and characteristics of opening on nursing-wear were identified and the characteristics of nursing brassier closely related to the nursing-wear were also identified. Top 5 companies for the nursing-wear and nursing-brassier were selected by ranking top 5 in NAVER with the search word 'nursing-wear' and 'nursing-brassier'. 732 one-piece and top (t-shirt and blouse) which have the highest portion in the nursing-wear were selected as the subject. Based on the photo, product explanation on the internet and in-depth interview of designer, the types and characteristics of openings for each item were identified. 732 nursing-brassier were selected to study the types and openings in breast-feeding. The result is as follows. Firstly, the item of nursing-wear can be classified into top, one-piece, package of top and the bottom, and sleeveless. Top and one-piece have the highest production rate. Secondly, the types of the openings are either covering or opening types. There are vertical-slit and horizontal-slit in covering type, and vertical-zipper, horizontal-zipper, and button types in opening type, and overlap and pocket type for the rest. Thirdly, the commercially available nursing-brassier according to the opening manner can be classified into upper-opening, middle-opening, and overlap types. Most largely produced product is upper-opening type as it minimizes the exposure of the breast in breast-feeding. When producing the nursing-brassier, the measurement of the lower breast and cup size are considered.

• Journal of Korea Society of Industrial Information Systems
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• v.10 no.3
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• pp.15-20
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• 2005

Since the invention of Web, it became part of our daily life replacing the routine information search and effecting many activities which otherwise could have been done off-line without it. It was a natural evolution of the web technology, which had started out as a simple test based pattern matching, to be based on the optimized match process for its multi-media Web environment, like still images, music and movies that we are to face today. In this paper, we proposed and implemented the model which the multimedia resources can be efficiently shared in semantic web. After converting multimedia resource information(metadata) into RDF, for efficient management, the model separate and allotment actual multimedia resource and corresponding metadata changed to RDF to each server. The proposed model could be applied in all multimedia resources. For easy explanation and implementation, however, we applied it to the digital photograph in example.