• Journal of Internet Computing and Services
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• v.23 no.3
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• pp.1-12
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• 2022

As the performance of Unmanned Aerial Vehicles (UAVs) are improving and the prices are lowering, it is expected that the use of UAVs will continuously grow in the future. It is important to always maintain control signal and video communication to operate remote UAVs stably, especially in military UAV operations, as unexpected jamming attacks can result in fatal UAV crashes. In this paper, to improve the network reliability and low latency when supporting UAV operations, the anti-jamming performance of Second generation Anti-jam Tactical UHF Radio for NATO (SATURN) networks is analyzed and enhanced by applying Forward Error Correction (FEC) and Minimum Shift Keying (MSK) modulation as well as Hamming code based multiple transmission techniques.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.147-157
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• 2022

The purpose of this study is to establish policy recommendations for the promotion of AI service impact assessment based on the definition of impact assessment and analysis of domestic and foreign AI service impact assessment cases. The direction of implementation was analyzed based on the case of impact evaluation promoted in various fields at home and abroad and the case of impact evaluation at home and abroad of artificial intelligence services. As a step-by-step implementation plan, in the first stage, quantitative indicators such as AI level survey-based economic effects are developed, and in the second stage, information culture such as safety and reliability and artificial intelligence ethics described in the Framework Act on Intelligence Information, social, economic, information protection, and people's daily lives are prepared. In the third stage, discussion on detailed metrics and methods will be expanded and impact assessment results will be evaluated. This study requires analysis through various participants such as policy designers, artificial intelligence service developers, and civic groups in the future.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.55-61
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• 2022

With the rapid development of information technology, Metaverse and Non-Fungible Token (hereinafter referred to as NFT) technology will not only create new supply and demand markets for digital art creators, but also for existing art writers. As interest in and trading of virtual assets and coins increases, so does the demand for digital art trading in the NFT market. This study examines the theoretical content of NFTs, blockchains, and Metaverse, and analyzes various expressions of NFT art that are currently popular. As the case study, 100 projects were selected and analyzed in the overall OpenSea ranking, which included 2D graphics, 3D graphics and motion graphics works. Then, from the perspective of creators, the graphic styles of NFT digital art are divided into 4 types: 2D graphics, 3D graphics, 2D dynamic graphics, 3D dynamic graphics, and analyzed and studied. It is hoped that in the future, this study can suggest the direction of creating graphic styles to digital art NFT creators.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.5
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• pp.139-146
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• 2022

Recently, solving industrial and social problems and creating new values based on big data and AI is being discussed as the main policy goal. The new government also set the digital platform government as a national task in order to achieve new value creation based on big data and AI. However, studies that summarize and diagnose discussions over the past five years are insufficient. Therefore, this study diagnoses the discussions over the past 5 years using the 4th industrial revolution as a keyword. After collecting news editorials from 2017 to 2022 by applying the text mining technique, 9 major topics were discovered. In conclusion, this study provided implications for the government's task to prepare for the future society.

• Journal of the Korea Society of Computer and Information
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• v.26 no.5
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• pp.133-139
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• 2021

While there have been a lots of researches focusing on the commitment to shopping site in online commerce area, few studies suggested the results on the relationships between users' characteristics including demographic and shopping characteristics and commitment to mobile shopping site. Therefore, this study investigates whether the level of mobile shopping site commitment will vary by users' characteristics such as gender, age, shopping time, and shopping scale. This study suggests, from the statistical analyses on 230 questionnaires, that there are differences in level of shopping site commitment among the respondents grouped by age, shopping time, and shopping scale except for gender. The study proposes various implications for future research on the management of shopping site commitment in mobile Internet environment.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.209-214
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• 2023

In the future, as autonomous vehicles become popular at home and abroad, the frequency of accidents involving autonomous vehicles is also expected to increase. In particular, when a fully autonomous vehicle is operated, various criminal/civil problems such as sexual violence, assault, and fraud between passengers may occur as well as the vehicle accident itself. In this case, forensics for accidents involving autonomous vehicles and accidents involving passengers in the vehicles are also about to change. This paper reviewed the types of security threats of autonomous vehicles, methods for maintaining the integrity of evidence data using blockchain technology, and research on digital forensics. Through this, it was possible to describe threats that would occur in autonomous vehicles using blockchain technology and forensic techniques for each type of accident in a scenario-type manner. Through this study, a block that helps forensics of self-driving vehicles before and after accidents by investigating forensic security technology of domestic and foreign websites to respond to vulnerabilities and attacks of autonomous vehicles, and research on block chain security of research institutes and information security companies. A chain method was proposed.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.1
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• pp.101-107
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• 2023

The purpose of this study is to research and develop the concepts and functions of the Metabus dog fashion show. Currently, as the pet-related industry grows rapidly, the pet fashion industry is also naturally growing. However, unlike the fast-growing fashion industry, it was not enough to meet the needs of dog owners. Therefore, this study attempted to develop a metaverse dog fashion show by supplementing the problems that arise when purchasing existing pet clothes through metaverse. As a research method, first, a survey was conducted on the rise in the actual pet-related industry and the social trends of metaverse and virtual fashion shows. Second, the existing dog clothing purchase characteristics were examined through user demand analysis, and user needs were derived. Third, the appropriate form of content was established, and a new content consumption environment called metaverse was analyzed and derived. Finally, functions were derived and developed to give users satisfaction. In the future, it is necessary to study a clear payment system in connection with the actual dog clothing business based on this.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.1
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• pp.275-280
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• 2023

Currently, the cumulative number of confirmed cases from the coronavirus in Korea is 30.17 million, and the cumulative number of deaths also reaches 33,444 (as of January 31, 2023). Therefore, this study aims to conduct an empirical analysis on the establishment of quarantine systems in major domestic cities as it is necessary to analyze the influencing factors of COVID-19 and discuss policy directions necessary to establish an effective quarantine system in the future. Among them, 16 cities in Korea with a relatively weak quarantine infrastructure were compared with the interrelationship between "number of upper-level hospitals", "number of urban populations", "number of infected", and "number of deaths", and ultimately the results of quarantine for each local government. In conclusion, the average population of 16 cities is 0.792 million, and the average number of infected people is 0.458 million, and the average cumulative infection rate is 57.8%. Seven cities exceed the average cumulative infection rate: Suwon (61.6%), Yongin (59.1%), Seongnam (61.8%), Hwaseong (65.6%), Anyang (60.7%), Cheonan (62.9%), and Jeonju (62.9%). In addition, despite the establishment of excellent treatment facilities in the city (ave=0.0129), the ratio of "accumulated deaths" (ave=0.11%) was high in Changwon (0.12%/0.0193), Ansan (0.12%/0.0138), Cheongju (0.11%/0.0174), and the ratio of "accumulative deaths" was low (0.09%) despite the construction of relatively poor treatment facilities. Through the results of this study, we expect a paradigm shift in the infectious disease management system in major cities in Korea after post-COVID-19.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.22 no.4
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• pp.185-194
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• 2022

The software industry makes it possible to converge science and Information and Communication Technologies (ICT), create new markets, and create jobs. It is a key industry in the 21^st century knowledge and information age, which is growing very rapidly. This study uses Input-output analysis to derive Linkage effect of the software industry in Korea and the United States (US), and compares the result with CO₂ inducement effect to verify whether the industry meets the low carbon emission development strategy. As the result of this study, first, the software industries in Korea and the US are confirmed to have large influences on the national economy. Second, the Korean software industry has a low Forward linkage effect, so it is less affected by the output of other industries. On the other hand, in the US, it has a high Forward linkage effect and can induce a lot of output in others. Third, CO₂ inducement effects of the industry in Korea and the US are both low, confirming that the industry is suitable for a sustainable future.

• Journal of Internet Computing and Services
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• v.23 no.2
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• pp.71-77
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• 2022

In this paper, a database is collected for extending the speech synthesis model to a model that synthesizes speech according to emotions and generating facial expressions. The database is divided into male and female data, and consists of emotional speech and facial expressions. Two professional actors of different genders speak sentences in Korean. Sentences are divided into four emotions: happiness, sadness, anger, and neutrality. Each actor plays about 3300 sentences per emotion. A total of 26468 sentences collected by filming this are not overlap and contain expression similar to the corresponding emotion. Since building a high-quality database is important for the performance of future research, the database is assessed on emotional category, intensity, and genuineness. In order to find out the accuracy according to the modality of data, the database is divided into audio-video data, audio data, and video data.