• Korea Science and Art Forum
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• v.37 no.3
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• pp.365-376
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• 2019

Now, our urban space is composed of all kinds of sculptures that lost its individual charm in trend flows and street furniture standardized by the integrated design of standardized franchises and similar architectures per each region and autonomous districts. This study was to introduce the concept called the 'community furniture' in the urban environment that there is no an identity of the regional culture and a sense of place because of the mostly similar street environment. The purpose of this study is to propose the concept called the 'community furniture' referred to as public facilities that imply specific identities of some regions that have became the community art expanded into necessary facilities of urban composition as bus shelter's universal convenience and functionality have been preferentially handled and its regional identities are reflected. For doing this, this study fulfilled application alternatives of community furniture design's basic principles after examining the storytelling process of local cultural heritages and analyzing domestic and foreign cases of bus shelters. Results of this study are as follows. First, convergent synergy effects in information and culture and art sectors could be expected as bus shelters visually deliver storytelling factors that imply locally related images. Second, space and place's characteristics and sustainable design concepts embody local characteristics. They can suggest directions for vitalizing urban environment designs by being in harmony with surrounding environments. Third, it is expected that realizing distinctive places is possible as bus shelters with local communities' aesthetic consciousness and regionality are composed of new street spaces.

• Journal of Digital Convergence
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• v.17 no.1
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• pp.337-345
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• 2019

In this study, it focused on observational documentary based on observation. This study comparatively analyzed how differently the narrative style is implemented depending on the social and cultural background of East and West by analyzing the narrative style of Frederick Wiseman, a representative director of observational documentary who has been active in foreign countries for a long time, and Lee Seung-jun, recently become active in Korea. As a result of the analysis, It might be too early to judge by simple comparison of two directors, but it became an opportunity to see the difference between the long-standing observer style and the observer style documentary which actively accepts the new form. While it cannot be simply judged which style is better between the traditional observer style which shapes the simple contents into conflicts in the sequence structure and the recent style which sublimates the human inner conflict into the drama, a side could have been seen that the diversity is attained. It can be judged that the traditional documentary film can be gradually changed later. It was found that the documentary can emerge from the logic that it is difficult and boring, and that the same theme can be various and creative depending on what style is chosen.

• Journal of Broadcast Engineering
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• v.26 no.3
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• pp.269-282
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• 2021

As the distribution of 3D content such as augmented reality and virtual reality increases, the importance of real-time computer animation technology is increasing. However, the computer animation process consists mostly of manual or marker-attaching motion capture, which requires a very long time for experienced professionals to obtain realistic images. To solve these problems, animation production systems and algorithms based on deep learning model and sensors have recently emerged. Thus, in this paper, we study four methods of implementing natural human movement in deep learning model and kinect camera-based animation production systems. Each method is chosen considering its environmental characteristics and accuracy. The first method uses a Kinect camera. The second method uses a Kinect camera and a calibration algorithm. The third method uses deep learning model. The fourth method uses deep learning model and kinect. Experiments with the proposed method showed that the fourth method of deep learning model and using the Kinect simultaneously showed the best results compared to other methods.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.599-608
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• 2022

There has been criticism that the government-led makerspace did not reflect the actual demand of makers, so there was a limit to performance creation. In this regard, the study aims to diagnose the current status and problems of makerspace and to suggest the implication to respond to policy demand. To this end, we analyzed the current status of makerspace by utilizing the government documents. Then, we conducted a survey of SMEs related to ICT devices that experienced makerspace, and analyzed their opinions on D·N·A technology demand, management difficulties, and governments' support policies. As results, the study proposed several improvement measures to upgrade makerspace as a digital conversion platform as follows. First, due to the nature of the existing industry for introducing D·N·A technology, there is a limit for companies to enter the market on their own, so comprehensive support from the government is needed. Second, it is necessary to establish and expand an empirical test bed for the development of new products and services so that various types of metaverse contents can be discovered and digital transformation convergence models of existing businesses can be derived. Third, by modifying the support method to operate the makerspace as a platform that implements the government-led start-up support policy, boldly transfer what the private sector can do well to the private sector. The participants of Industry·University·Institute Collaboration should freely share ideas and help the common problem be solved. Based on the problems and the findings for improvement, it is expected that the current makerspace would be upgraded to a digital conversion platform suitable for the demand of the field.

• Journal of Intelligence and Information Systems
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• v.28 no.4
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• pp.119-133
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• 2022

One of the most important current features of food related industry is the growth of food delivery service. Another notable food related culture is, with the advent of Youtube, the popularity of Mukbang, which refers to content that records eating. Based on these background, this study intended to focus on two things. First, we tried to see the impact of Youtube Mukbang and the sentiments of Mukbang comments on the number of related food deliveries. Next, we tried to set up the predictive modeling of chicken delivery order with machine learning method. We used Youtube Mukbang comments data as well as weather related data as main independent variables. The dependent variable used in this study is the number of delivery order of fried chicken. The period of data used in this study is from June 3, 2015 to September 30, 2019, and a total of 1,580 data were used. For the predictive modeling, we used machine learning methods such as linear regression, ridge, lasso, random forest, and gradient boost. We found that the sentiment of Youtube Mukbang and comments have impacts on the number of delivery orders. The prediction model with Mukban data we set up in this study had better performances than the existing models without Mukbang data. We also tried to suggest managerial implications to the food delivery service industry.

• Journal of Service Research and Studies
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• v.13 no.1
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• pp.127-143
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• 2023

Currently, the domestic traditional market has not escaped the swamp of stagnation that began in the early 2000s despite various projects promoted by many related players such as the central government and local governments. In order to overcome the crisis faced by the traditional market, various R&Ds have recently been conducted on how to build a smart traditional market that combines information and communication technologies such as big data analysis, artificial intelligence, and the Internet of Things. This study analyzes various previous studies, users of traditional markets, and application cases of ICT technology in foreign traditional markets since 2012 and proposes a model to build a smart traditional market using ICT technology based on the analysis. The model proposed in this study includes building a traditional market metaverse that can interact with visitors, certifying visits to traditional markets through digital signage with NFC technology, improving accuracy of fire detection functions using IoT and AI technology, developing smartphone apps for market launch information and event notification, and an e-commerce system. If a smart traditional market platform is implemented and operated based on the smart traditional market platform model presented in this study, it will not only draw interest in the traditional market to MZ generation and foreigners, but also contribute to revitalizing the traditional market in the future.

• Journal of the Korea Convergence Society
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• v.13 no.1
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• pp.325-340
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• 2022

Amid the unprecedented situation of COVID-19 around the world, online education has established itself as an essential element in the era of zero contact and the importance of various content and changes of the system that are appropriate for the era of the 4^th industrial revolution has increased. Although universities are making their efforts to combine ICT technologies and design and achieve new systems, the recognition and atmosphere for establishing the cloud computing system are falling short. The purpose of this research importance of success factors of "Building a cloud computing system of cyber university in Korea" by classifying the work characteristics and scale, and to derive and analyze the importance cloud rankings considering the organization and individual dimension. Therefore, this study has drawn 14 major factors in the previous researches and models through the survey on experts with knowledge related to the cloud computing. The analysis was conducted to see what differences there are in factors for the successful establishment of the cloud computing system using AHP. It is expected that the factors for success presented through this study would be used as systemic strategies and tools for the purpose of drawing factors for the success of establishing the private cloud computing system for the higher education institutions and public information systems.

• Journal of Korean Historical Folklife
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• no.57
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• pp.197-228
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• 2019

This study was conducted under the judgement that there was a need to make several mentions by reference to studies about the spatial composition of the traditional village. The judgement was not about the dimension that there was a problem about the spatial composition of the existing village but that it would be effective to make a fresh reorganization of it in a little more detail. As a result, this study presented seven spaces in the spatial composition of the traditional village. It attempted to analyze it by dividing it into four spaces such as ① natural space, ② residential space and work space, ③ moving space and boundary space and ④ play space and ritual space to fit its basic nature. First of all, it made a pictorial presentation of the basic form of the spatial composition of the traditional farming village in the late Joseon Dynasty which was most general and whose form has been handed down up to the present. And it described the composition of each space accordingly. It was not intended for a specific village. So it presented the historical change, the behavior of the members surrounding the village and a difference according to the nature of the village, which were judged to be very important in explaining the items of the composition of each space. As a result, it was found that the spatial composition of the traditiona Korean village well embodied the framework of their life in terms of their view of nature, lifestyle and worldview. The view of nature acted on the spatial composition of the village as a whole and is well reflected in the natural space in particular. Their lifestyle is reflected in the residential space, farming space, moving space and play space, and their worldview is spcifically mirrored in the boundary space and ritual space. In particular, this study focused on how to take a look at the element of Feng-Shui in discussing the spatial composition of the village.

• Journal of Service Research and Studies
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• v.13 no.4
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• pp.173-190
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• 2023

In recent times, with the development of virtual convergence technologies, the market for the Metaverse, a digitally virtual space that combines virtuality and reality, is experiencing significant growth. These Metaverses are realizing new value in both reality and virtual spaces through the development of diverse services and content. However, existing research on the Metaverse mostly revolves around its conceptualization and categorization, with limited exploration of intentions to use the Metaverse. Consequently, this study examined the impact of Metaverse service characteristic factors on trust and intention to use within the Metaverse. The results of this study are as follows. First, among the service characteristic factors of the Metaverse, presence, interactivity, and playfulness were found to have a positive impact on Metaverse trust. On the other hand, informativeness was found not to have a significant influence on trust in the Metaverse. Second, Metaverse trust was found to have a positive impact on intention to use the Metaverse. Based on the research results above, this study aims to propose effective communication strategies for activating the Metaverse and developing services within the Metaverse platform.

• Journal of the Korean Society for information Management
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• v.41 no.1
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• pp.261-282
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• 2024

This study proposed and evaluated electroencephalography (EEG)-based and eye-tracking-based methods to determine relevance by utilizing users' implicit relevance feedback while navigating content in a digital library. For this, EEG/eye-tracking experiments were conducted on 32 participants using video, image, and text data. To assess the usefulness of the proposed methods, deep learning-based artificial intelligence (AI) techniques were used as a competitive benchmark. The evaluation results showed that EEG component-based methods (av_P600 and f_P3b components) demonstrated high classification accuracy in selecting relevant videos and images (faces/emotions). In contrast, AI-based methods, specifically object recognition and natural language processing, showed high classification accuracy for selecting images (objects) and texts (newspaper articles). Finally, guidelines for implementing a digital library interface based on EEG, eye-tracking, and artificial intelligence technologies have been proposed. Specifically, a system model based on implicit relevance feedback has been presented. Moreover, to enhance classification accuracy, methods suitable for each media type have been suggested, including EEG-based, eye-tracking-based, and AI-based approaches.