• Journal of Convergence for Information Technology
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• v.10 no.12
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• pp.175-182
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• 2020

This thesis is to investigate the relationship between college students' beauty YouTube viewing satisfaction and the development impact of K-beauty. University students' beauty YouTube viewing satisfaction showed more than average satisfaction in terms of reviews, makeup techniques, makeup trends, agency empathy, and entertainment motives. In order to study the relationship between beauty YouTube viewing satisfaction and K-beauty, as a result of factor analysis of the K-beauty questionnaire, it was divided into factors affecting development and development of other industries. University students' beauty YouTube viewing satisfaction was found to have a positive (+) effect on the factors affecting K-beauty development, and no relationship with other K-beauty industries. Based on these research results, we expect to use reference materials for the development of K-beauty development plans using media contents along with the development of beauty YouTube contents, and we plan to continue a more extensive research.

• Journal of the Architectural Institute of Korea Planning & Design
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• v.34 no.12
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• pp.13-20
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• 2018

This research is to analyze the public cases of information facilities in terms of central circulations in multi level volumes such as atrium or court which provide visual intervention between different spaces and physical connections such as bridges. Hunt Library design balances the understood pre-existing needs with the University's emerging needs to create a forward-thinking learning environment. While clearly a contemporary structure within a traditional context of the NCSU campus, the Hunt Library provides a positive platform for influencing its surroundings. Both technical and programmatic innovations are celebrated as part of the learning experience and provide a versatile and stimulating environment for students. Public library as open spaces connecting to an interactive social domain over communities can provide variety of learning environments, or technology based labs. There are many cases of the public information spaces with dynamic networks where participants can play their roles in physical space as well as in the intellectual stimulation. In the research, new public projects provide typologies of information spaces with user oriented media. The research is to address a creative transition between the reading space and the experimental links of the integration of state-of-the-art technology is highly visible in the building's design. The user-friendly browsing system that replaces the traditional browsing with the virtual shelves classified and archived by their form, is to reduce the storage space of the public library and it is to allow more space for collaborative learning. In addition to the intelligent robot of information storages, innovative features is the large-scale visualization space that supports team experiments to carry out collaborative online works and therefore the public library's various programs is to provide visitors with more efficient participatory environment.

• The Journal of Society for e-Business Studies
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• v.26 no.2
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• pp.61-81
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• 2021

In the era of untact, the "Chabak" using cars as accommodation spaces is attracting attention as a new form of travel. Due to the advantages, including low costs, convenience, and safety, as well as the characteristics of the vehicle enabling independent travel, the demand for Chabak is continuously increasing. Despite the rapid growth of the market and related industries, little academic has investigated this trend. To establish itself as a new type of travel culture and to sustain the growth of related industries, it is essential to understand the public perception of Chabak. Therefore, based on the marketing mix theory and big data analysis, this study analyzes the public perception of Chabak. The results showed that Chabak has established itself as a consumer-led travel culture, contributing to the aftermarket growth of the automobile industry. Additionally, consumers were found to be increasingly inclined to enjoy travel economically and wisely, and actively share information through social media. This initial study on the new travel trend of Chabak is significant in that it employs big data analysis on a theoretical basis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.5
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• pp.659-666
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• 2021

This research will apply the environmental characteristics of physical computing to game development, which has the concept of giving substantial materiality to digital media that do not exist in reality. The processing process of physical computing is digital input and digital output, and analog input and analog output, which mainly uses Malik controllers. Therefore, we select development elements by analyzing research cases in the field of digital art and information education where physical computing is studied a lot, and by analyzing games that borrowed some physical computing elements. The derived elements are verified by the Delphi's research methodology through agreement with experts. 12 elements are selected in this study, and the importance is shown in order of the physical properties in the virtual world, the suitability of the implementation technology, and the conformity between real and virtual players.

• International Journal of Computer Science & Network Security
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• v.22 no.2
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• pp.406-412
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• 2022

Storing large amounts of data has always been a big problem from the beginning of computing history. Big Data has made huge advancements in improving business processes by finding the customers' needs using prediction models based on web and social media search. The main purpose of big data stream processing frameworks is to allow programmers to directly query the continuous stream without dealing with the lower-level mechanisms. In other words, programmers write the code to process streams using these runtime libraries (also called Stream Processing Engines). This is achieved by taking large volumes of data and analyzing them using Big Data frameworks. Streaming platforms are an emerging technology that deals with continuous streams of data. There are several streaming platforms of Big Data freely available on the Internet. However, selecting the most appropriate one is not easy for programmers. In this paper, we present a detailed description of two of the state-of-the-art and most popular streaming frameworks: Apache Ignite and Hazelcast. In addition, the performance of these frameworks is compared using selected attributes. Different types of databases are used in common to store the data. To process the data in real-time continuously, data streaming technologies are developed. With the development of today's large-scale distributed applications handling tons of data, these databases are not viable. Consequently, Big Data is introduced to store, process, and analyze data at a fast speed and also to deal with big users and data growth day by day.

• Journal of Industrial Convergence
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• v.20 no.7
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• pp.37-50
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• 2022

This study intends to analyze the learning effect of asynchronous online classes used in education fields around the world after the COVID-19 pandemic. To this end, we compared and analyzed the lecture evaluation and final exam questions of the HTML5 web programming course, which was conducted offline in 2019 and asynchronously online in 2020 due to COVID-19. As a result of the analysis, no significant difference was drawn between the two teaching methods in the lecture evaluation score and final exam score. However, contrary to concerns about the application of online classes to the entire curriculum, the lecture evaluation and final exam scores of the video-based online classes were high, suggesting the possibility that online classes could be more effective than offline classes if well organized and managed in the future.

• Journal of Advanced Navigation Technology
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• v.26 no.4
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• pp.226-234
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• 2022

With advances in autonomous vehicles and networked control, there is a growing interest in the consensus control of a multi-agents system to control multi-agents with distributed control beyond the control of a single agent. Since consensus control is a distributed control, it is bound to have delay in a practical system. In addition, it is often difficult to have a very accurate mathematical model for a system. Even though a reinforcement learning (RL) method was developed to deal with these issues, it often experiences slow convergence in the presence of large uncertainties. Thus, we propose a slide RL which combines the sliding mode control with RL to be robust to the uncertainties. The structure of a sliding mode control is introduced to the action in RL while an auxiliary sliding variable is included in the state information. Numerical simulation results show that the slide RL provides comparable performance to the model-based consensus control in the presence of unknown time-varying delay and disturbance while outperforming existing state-of-the-art RL-based consensus algorithms.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.303-312
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• 2021

The Possibility of contemporary ceramics creation through the convergence of materials In modern society, the creation of new values through convergence is emerging as a new trend. Modern potters are also trying to expand a new concept of art by combining various materials with other media. In craft, materials are essential and the most fundamental elements of expression. Therefore, from the viewpoints of various fusions, the significance of the fusion between materials will be explored. Also, focusing on paperclay, which is the most likely to be transformed material, we explore creative possibilities in the process of producing materials and works. Chapter 2 presents the concept and significance of fusion and material properties, and introduce the trend of fusion used in contemporary ceramics as material expression. In Chapters 3 and 4, characteristics and possibilities are examined through paper clay production and presentation based on the structure of the previous analysis. As a result, it is intended to present the direction that modern ceramics should pursue through a fusion phenomenon such as bonding between materials in the future and to explore potential possibilities for development.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.230-240
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• 2022

Sharing of online videos via internet is an emerging and important concept in different types of applications like surveillance and video mobile search in different web related applications. So there is need to manage personalized web video retrieval system necessary to explore relevant videos and it helps to peoples who are searching for efficient video relates to specific big data content. To evaluate this process, attributes/features with reduction of dimensionality are computed from videos to explore discriminative aspects of scene in video based on shape, histogram, and texture, annotation of object, co-ordination, color and contour data. Dimensionality reduction is mainly depends on extraction of feature and selection of feature in multi labeled data retrieval from multimedia related data. Many of the researchers are implemented different techniques/approaches to reduce dimensionality based on visual features of video data. But all the techniques have disadvantages and advantages in reduction of dimensionality with advanced features in video retrieval. In this research, we present a Novel Intent based Dimension Reduction Semi-Supervised Learning Approach (NIDRSLA) that examine the reduction of dimensionality with explore exact and fast video retrieval based on different visual features. For dimensionality reduction, NIDRSLA learns the matrix of projection by increasing the dependence between enlarged data and projected space features. Proposed approach also addressed the aforementioned issue (i.e. Segmentation of video with frame selection using low level features and high level features) with efficient object annotation for video representation. Experiments performed on synthetic data set, it demonstrate the efficiency of proposed approach with traditional state-of-the-art video retrieval methodologies.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.361-366
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• 2022

Recently, with the development of convergent media, the digital animation industry has developed a variety of content centered on the role of Intellectal Property. The excellent IP role image has created huge economic benefits in business. This paper selects three representative Intellectual Property animation cases from Japan, the United States and China. Analyzed of the reuse of IP animation character images and combined with the era technology and the style of culture and art, the traditional cultural IP roles are reconstituted into modern character design two aspects. Through the research of this paper, can understand the expansion possibility of IP animation according to the use of character image. It is expected that when making digital animation, can recognize the importance of intellectual property and use it as a reference for role development.