• The Journal of the Korea Contents Association
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• v.19 no.11
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• pp.12-21
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• 2019

In the era of the Fourth Industrial Revolution, drones have become a flexible device that can be integrated with new technologies. The drones were originally developed as military unmanned aircraft and are now being used in various fields. In the environment and weather observation area, the atmospheric boundary layer is near the surface where the atmosphere is the most active in the meteorological phenomenon and has a close influence on human activities. In order to carry out the study of these atmospheric boundary layers, it is necessary to observe precisely the lower atmosphere and secure the observation technology. The drones in the meteorological field can be used for meteorological observations at a relatively low maintenance cost compared to existing equipment. When used in conjunction with various sensors, the drones can be widely used in atmospheric boundary layer and local meteorological studies. In this study, the possibility of meteorological observations using drones was confirmed by conducting vertical meteorological (temperature and humidity) observation experiments equipped with a combined meteorological sensor and a radio sonde on drones owned by NIMS.

• Journal of Broadcast Engineering
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• v.7 no.1
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• pp.21-27
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• 2002

This paper presents a mews event reenactment system (NERS), which generates virtual character animations in a quick and convenient manner. Thus, NERS can be used to produce computer graphics(CG) scenes of news events that are hard to photograph, such as fire, traffic accident, cases of murder, and so on. By using plenty of captured motion data and CG model data this system produces an appropriate animation of virtual characters straightforwardly without any motion capturing device and actors in the authoring stage. NERS is designed to be capable of making virtual characters move along user-defined paths, stitching motions smoothly and modifyingthe positions and of the articulations of a virtual character in a specific frame. Therefore a virtual character can be controlled precisely so as to interact with the virtual environments and other characters. NERS provides both an interactive and script-based (MEL: Maya Embedded Language) interface so that user can this system in a convenient way. This system has been implemented as a plug-in of commercial CG tool, Maya (Alias/wavefront), in order to make use of its advanced functions

• The Journal of Society for e-Business Studies
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• v.12 no.2
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• pp.269-290
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• 2007

RSS is a core component of Web 2.0 which is expected to lead the most important innovation in the new IT environment. In that sense, it is actively utilized to distribute Web contents in various areas such as news, blog, multimedia, medical information, and conference and journal information. Also, it is expected to be a major effective marketing tool in electronic commerce domain. In the paper, we analyzed the problems of current utilization of RSS in domestic shopping malls, and suggest requirements for the effective use of RSS in electronic commerce. Furthermore, we proposed various issues and answers on the implementation of the requirements, and designed the intelligent RSS framework for electronic commerce based on the issues. Syntactic and semantic interoperability between the RSS service provider and the user is one of the most important issues in the framework. We suggested how to implement the interoperability based on Semantic Web technologies.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.21 no.1
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• pp.121-129
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• 2021

In addition to yellow dust occurring in China, fine dust has become a hot topic in Korea through news and media. Although there is fine dust generated from the outside, the purchase rate of air purifier products is increasing as external fine dust flows into the inside. The air purifier uses a filter internally, and the sensor notifies the user through the LED alarm whether the filter is replaced. However, there is currently no product measuring how much the filter rate is reduced and determining the pressure of the blower to operate. Therefore, in this paper, data are generated directly using Arduino, fine dust sensor, and differential pressure sensor. In addition, a program was developed using Python programming to calculate how old the filter is and to analyze the wind power of the blower according to the filter rate by calculating the measured dust and pressure values.

• The Journal of the Korea Contents Association
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• v.20 no.12
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• pp.112-122
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• 2020

This study analyzed how KBS's 'Type and Format', 'Professionalism' and 'Infectious Disease-related Issues' appear in the media news related to Corona-19 under the three periods of 'discovery', 'diffusion' and 'recovery'. According to an analysis of a total of 473 media news, In all three periods, 'Straight Report' and 'Information Delivery Frame' were high to inform the truth of the infectious disease. In addition, the 'transmission of facts' frame was more used than the emotional transmission in reporting the risk situation. However, the proportion of 'moral evaluation frames' in the second phase was relatively high, and the proportion of non-professional journalists was still overwhelmingly higher than professional journalists. Meanwhile, infectious disease-related issues had the most content on 'infection control', and relatively little information on how to deal with them. Based on the above findings, this study suggested the implications of 'Increased in-depth and professional press coverage', 'Refrain from moral evaluation frames' and 'a comprehensive presentation of various infectious disease-related information'.

• Human Ecology Research
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• v.59 no.1
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• pp.23-43
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• 2021

This study looked through the text mining analysis to check the status of the virtual assistant service, and explore the needs of consumers, and present consumer-oriented directions. Trendup 4.0 was used to analyze the keywords of AI services in Online News and social media from 2016 to 2020. The R program was used to collect consumer comment data and implement Topic Modeling analysis. According to the analysis, the number of mentions of AI services in mass media and social media has steadily increased. The Sentimental Analysis showed consumers were feeling positive about AI services in terms of useful and convenient functional and emotional aspects such as pleasure and interest. However, consumers were also experiencing complexity and difficulty with AI services and had concerns and fears about the use of AI services in the early stages of their introduction. The results of the consumer review analysis showed that there were topics(Technical Requirements) related to technology and the access process for the AI services to be provided, and topics (Consumer Request) expressed negative feelings about AI services, and topics(Consumer Life Support Area) about specific functions in the use of AI services. Text mining analysis enable this study to confirm consumer expectations or concerns about AI service, and to examine areas of service support that consumers experienced. The review data on each platform also revealed that the potential needs of consumers could be met by expanding the scope of support services and applying platform-specific strengths to provide differentiated services.

• Journal of Industrial Convergence
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• v.20 no.6
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• pp.17-25
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• 2022

As social problems related to the digital divide are increasing, the elderly are facing various problems as an information alienated group. In particular, there is a need to strengthen the ability to critically understand and accept information. In this study, using the 2020 media panel survey, the effects of digital literacy in the elderly on critical thinking disposition of information were analyzed, focusing on the moderating effect of need for cognition. As a results of the analysis, it was confirmed that the operational and the information skill had a positive effect on the critical thinking disposition of information. Also, as a result of analyzing the moderating effect of NFC(Need for Cognition), it was found that NFC strengthens the influence of operational skill and reduces the influence of information skill. This suggests that the digital literacy education for the elderly needs to change from strengthening accessibility to improving information judgment.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.9
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• pp.317-325
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• 2017

In this paper, we try to classify Korean hedge sentences, which are regarded as not important since they express uncertainties or personal assumptions. Through previous researches to English language, we found dependency information of words has been one of important features in hedge classification, but not used in Korean researches. Additionally, we found that word embedding vectors include the word usage information. We assume that the word usage information could somehow represent the dependency information. Therefore, we utilized word embedding and neural networks in hedge sentence classification. We used more than one and half million sentences as word embedding dataset and also manually constructed 12,517-sentence hedge classification dataset obtained from online news. We used SVM and CRF as our baseline systems and the proposed system outperformed SVM by 7.2%p and also CRF by 1.2%p. This indicates that word usage information has positive impacts on Korean hedge classification.

• Analyses & Alternatives
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• v.1 no.2
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• pp.13-30
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• 2017

Referred to as a 'media war,' there is a fierce competition for media discourse between different countries. Twenty four hour global news channels like Al Jazeera, France 24, RT, NHK World, China's CCTV and teleSUR emerged to offer their own perspectives and stance in the global society, and to face the monopolization and distorted information created by the hegemony of English news channels which have swayed international public opinions for a long time. As a tool of public diplomacy, the media's role in determining the image of the nation and winning the 'Hearts and Minds' of the international community is decisive, but it cannot be said that they all have a similar influence or play a positive role in media diplomacy. A global news channel, which is both a media diplomatic subject and a journalism organization, can be in the position of acting as a public relations organization or a propaganda agency for the government depending on the regime's attitude because most of global news channels receive support from the government. Sometimes it is difficult for these media to implement quality journalism because of financial difficulties. Media discourse also has limitations in that it is dependent upon changes in foreign policy of its own government. This study examines the current status of global news channels, the dilemma these channels are facing, and suggests some potential directions that can be taken by global news channels in order to become more effective. It is becoming increasingly important for all nations to respond to distorted information about their own countries, to appropriately identify various issues and changes in the international community and to convey their views and positions to the international community. For now, there is a lack of awareness about the importance of media diplomacy in Korea: There are many English-language media, but as yet no global news channel which could have an influence on the international stage. However, there seems to be some understanding about the need for the media to present the Korean alternative discourse to the senseless dependency on Western media. We hope that this study will be an opportunity to think in depth about the attitude of the Korean global media, whether existing global media or new global news channels, in order to help them become more effective in media diplomacy.

• Informatization Policy
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• v.31 no.2
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• pp.105-132
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• 2024

This study seeks to investigate the factors influencing the utilization of online contents subscription services. In this study, the current number of online contents services subscribed to is set as the dependent variable. The independent variables include conspicuous product purchasing tendencies, personality types, experience with online contents consumption, and digital literacy. The research results indicate that digital literacy, agreeableness, and sociability among personality traits, as well as experience with online contents consumption, significantly impact the use of online contents subscription services. However, conspicuous product purchasing tendencies and personality traits such as openness and extroversion did not have a significant effect on the utilization of online contents subscription services.