• The Journal of the Korea Contents Association
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• v.19 no.9
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• pp.195-211
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• 2019

Recently, as the personal broadcasting industry has grown rapidly, interest in personal braodcasting platform companies, creators, and contents is increasing. In addition to the quantitative growth of the private broadcasting industry, related research is also increasing, but there is a lack of research on the viewer side. In this study, we applied the Hedonic-Motivation System Adoption Model (HMSAM) to derive the viewing motivation factors from the intrinsic aspects of personal broadcasting users. Also, we analyzed the difference of viewing motivation factors by classifying the types of personal broadcasting contents. As a result of the analysis, extrinsic and intrinsic factors of the users except "control" has a significant influence on the viewing intention and immersion. Also, it was verified that the influences on the viewer's immersion were different according to the content type. Finally, various theoretical and practical implications are presented through the results of this study.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.33-46
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• 2019

The purpose of this study is to analyze how China, which is the largest consumption area of Hallyu broadcasting contents but the most illegal copy market infringe the rights of domestic broadcasters and what of the policy of regulatory authority in this illegal market. To this end, this study investigate the most common types of paths and methods of copyright infringement in the Internet and mobile multi-platform environments, and investigated how broadcasters responded to them with in-depth interviews. As a result of research, the most frequent type of infringement of rights of reproduction were to use links with web and apps and TV pads. In this regard, it was not easy to solve the problem of illegal copy in China in the way that domestic companies responded to individually, and it was very rare that the lawsuit was filed. In the future, the government will need to provide side support for Korean Wave broadcasting contents through steady monitoring as well as market research for eradication of illegal copy.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.32 no.1
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• pp.133-150
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• 2021

The purpose of this study is to identify the applicability of machine learning targeting titles in the classification of books in public libraries. Data analysis was performed using Python's scikit-learn library through the Jupiter notebook of the Anaconda platform. KoNLPy analyzer and Okt class were used for Hangul morpheme analysis. The units of analysis were 2,000 title fields and KDC classification class numbers (300 and 600) extracted from the KORMARC records of public libraries. As a result of analyzing the data using six machine learning models, it showed a possibility of applying machine learning to book classification. Among the models used, the neural network model has the highest accuracy of title classification. The study suggested the need for improving the accuracy of title classification, the need for research on book titles, tokenization of titles, and stop words.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.457-462
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• 2021

YouTube has established itself as a major media platform. Businesses give more attention to YouTube's influence as marketing using the platform demonstrates positive effects. Accordingly, this study aims to look into how the quasi-social interaction of the users of beauty content on YouTube affect purchase behavior intentions and provide results as basic data for establishing an efficient marketing strategy. Quasi-social interaction exerted significantly positive influence on purchase behavior and purchase intention. This suggests that the stronger the quasi-social interaction becomes, purchase behavior and purchase intention get stronger. Therefore, strategies for facilitating marketing should be devised by increasing efficient quasi-social interaction according to user characteristics.

• Journal of Internet of Things and Convergence
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• v.8 no.2
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• pp.61-70
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• 2022

Connectivity and knowledge are the main keywords of the IoT. In this paper, I analyzed how the two civilizations, Christianity and Islam, were connected through Mughal paintings and what result they have brought in the spread of knowledge. For that, I analyzed literature as well as paintings of those days. In terms of theme matter, Western painting was used as a means of strengthening the royal authority of the Mughal Emperor. In terms of style, perspective and shading from the Western Paintings began to be used in Mughal painting. Later, Christian symbols and themes were linked to absolute power of kingship, and further utilized them to develop into the concept of kingship = spirituality = divinity, creating an original art style that was unprecedented in the history of world painting. By analyzing the two disparate cultures in terms of 'connectivity' and 'knowledge' of the Internet of Things, such research could serve as a platform for future humanities research on the Internet of Things.

• Journal of Korea Entertainment Industry Association
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• v.14 no.5
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• pp.1-14
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• 2020

This study conducted a topic modeling and semantic network analysis of 'korean wave' and its meaning in Korean society from 2000 to 2019 by applying an agenda setting theory. For this purpose, a total of 197,992 newspaper articles which reported 'korean wave' issues were analyzed by applying topic modeling and semantic network analysis. As a result, first, the word 'korean wave' mainly appeared in korean-related regions in the korean press. culture and economy. second, a total of 9 topics related to korean wave issues appeared. This was followed by 'broadcast', 'export', 'domestic and foreign affairs', 'education', 'beauty and fashion', 'music and performance', 'tourism', 'media(platform)', and 'region'. Lastly, korean wave was mainly discussed at the cultural and economic ares. In addition, it was clustered into five characteristics: 'cultural hallyu', 'business hallyu', 'education', 'environment', and 'geography'.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.1
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• pp.177-186
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• 2017

Recently, Autonomous vehicles are getting hot attention. Amazon, the biggest online shopping service provider is developing a delivery system that uses drones. This kinds of platforms are need accurate attitude information for navigation. In this paper, a structure design of AHRS using low-cost inertia sensor is proposed. To estimate attitudes a Kalman filter which uses a quaternion based dynamic model, bias-removed measurements from MEMS Gyro, raw measurements from MEMS accelerometer and magnetometer, is designed. To remove bias from MEMS Gyro, an additional Kalman filter which uses raw Gyro measurements and attitude estimates, is designed. The performance of implemented AHRS is compared with high price off-the-shelf 3DM-GX3-25 AHRS from Microstrain. The Gyro bias was estimated within 0.0001[deg/s]. And from the estimated attitude, roll and pitch angle error is smaller than 0.2 and 0.3 degree. Yaw angle error is smaller than 6 degree.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.4
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• pp.623-630
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• 2017

This paper surveys the state-of-the-art in korean commercial Internet of Things(IoT) services for deriving the core elements of a curriculum for major courses of IoT using RaspberryPi3. First, we survey the state-of-the-art of IoT researches and commercial services in three korean major telecommunication corporations such as Korean Telecommunications (KT), LGU+ Telecommunication (LGT), and SK Telecommunication(SKT). Second, we consider the components and advantages of the RaspberryPi3 which is popular as a representative educational tool. Concludingly, this paper derives the core elements of curriculum for major courses of IoT using RaspberryPi3 from above both processes. The corresponding elements consist of platforms, hardwares, softwares, and big-data network. Based on the important design elements of the IoT curriculum using Raspberry Pie 3, we taught embedded system course to junior students for one semester. It was successfully completed and more than 90% students were satisfied with its contents and amounts.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.3
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• pp.925-932
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• 2018

Virtual reality seems to be the center of the next generation platform, which is founded on various engines that can easily make device progress and content. However, the interaction between virtual reality contents and users is thought of as relatively requiring technological advances. In this paper, we propose a technique to improve the interaction technique based on the case of Virtual Figure Model Crafting (VFMC) to analyze the problem of interaction caused by virtual reality contents. We introduced the concept of Head-Up Display (HUD) to present a more natural interaction method. The HUD is the digital visual interface of the aircraft. The advantage of HUD visual interface is to minimizes the user's visual movement by displaying the information of the scattered view to the forward direction of the pilot. In other words, we can reduce unnecessary left and right movements that make it is possible to expect an effect of reducing fatigue and increasing immersion.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.8 no.6
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• pp.909-917
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• 2018

Recently, the Internet of Thing (IoT) technology is expanding explosively in the number of devices and applications in many application areas. In IoT systems, sensors and actuators are connected to the Internet and cooperate to do some applications by exchanging information. In this paper an IoT smart home system is developed to monitor and control home devices easily. Our system consists of sensor devices, IoT gateways, and an IoT server. Sensor devices developed using Rfduino sense the physical world and transmit their data using BLE to the IoT server thru the IoT gateway. We implemented the IoT gateway using Raspberry Pi and the IoT server using ARTIK cloud. We installed our system and made a test in our lab, which showed that our system can be installed and managed easily and extended its functionality in an easy way. By taking advantage of the rule mechanism and action messages of ARTIK cloud, we implemented the control of device parameters easily by sending action messages to the ARTIK cloud.