• Journal of the Korean Society of Clothing and Textiles
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• v.40 no.2
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• pp.315-329
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• 2016

The $21^{st}$ century is the age when the revolution of digital technology enables two-way communication and when emotional values are emphasized. Thus, it exerts influence on the fashion industry and fashion communication. Along with fashion shows, advertising and displays, many fashion brands have increased the use of fashion films. For that reason, this study examines the characteristics of fashion films made by fashion brands, based on the frame work of persuasion communication. For the research, literature reviews and internet website research were done and films of Chanel, Prada, Kenzo and Alexander Wang were analyzed. The definition and types of fashion films were redefined as terminology varied throughout previous studies prior to analyzing each case. As a result, a fashion film would be redefined as 'a digital image which a fashion brand publishes to consumers for the promotion of brand comprehension'. Also, five fashion film types, 'short film', 'campaign film', 'animation film', 'brand film' and 'show film' were redefined. The analysis provided three communication characteristics: reliability, engagement and intuition. First, reliability is attained when a fashion brand (sender) delivers brand message to consumers (receiver) consistently and unitedly. Second, engagement is attained when the type of fashion film (channel) delivers creative image features such as format, music, video technique to attract consumers' interest. Lastly, intuition is attained when a fashion brand (sender) delivers a message akin to brand identity and deepens consumers' understanding. In addition, this study tried to identify the unique usage tendency of brands that could serve as practice guidelines for other fashion brands.

• Smart Media Journal
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• v.9 no.3
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• pp.130-141
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• 2020

The drone market in Korea is growing with a focus on the use of prevention, defense, exploration and surveying, search and rescue, video shooting, and facility management. However, the foreign dependence on drone's core technologies and components is high. Drone-powered countries such as the US and China are expanding the weaponization of drones, which can intensify trade wars between countries, such as strengthening import and export regulations and monopoly. Therefore, Korea should put R & D and localization of core technology, parts, and accessories of next generation drone first. For this, policy research and investment in infrastructure, equipment, and research personnel should be preceded. This study studied the evaluation of investment priorities by infrastructure sector (facility equipment, utilization field, and demand manpower) to foster small drone companies through literature studies. To this end, we expanded and reclassified e isting research, developed investment prioritization indicators through expert group interviews and reviews, derived future uncertainties, and selected investment priorities by infrastructure sector using AHP techniques. Finally, it proposed an infrastructure construction strategy to foster small drone companies in terms of drone development support, utilization support.

• The Journal of the Korea Contents Association
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• v.13 no.10
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• pp.170-180
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• 2013

This study compares and reviews PPL in domestic and foreign music videos with reference to possibility of connecting K-POP music videos and PPL in industrial perspective and establishes a successful PPL strategy for K-POP. For this, their success factors are drawn through content analysis method for PPL examples in K-POP and foreign(British-American) music videos. The study analyzes PPL strategies in K-POP and foreign music videos by content analysis of PPL exposure frequency and time, PPL placement type, PPL products group type, advertisers, etc. According to the study, PPL product lines as well as fashions need to be diversified in K-POP music videos. The study also shows that it needs to apply the PPL strategy used in foreign music videos which are focused on exposure time rather than exposure frequency. In addition, it turned out to be important to establish more bold PPL placement exposure strategy in K-POP music videos. Therefore, the study is to offer theoretical and political implications required for successful PPL strategy in K-POP in the future.

• Journal of rehabilitation welfare engineering & assistive technology
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• v.4 no.1
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• pp.63-70
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• 2010

Research and development of Assistive Technology (AT) for blind people is primarily focused on assisting mobility and improving access to information. Some particularly useful devices for aiding access to information and communication are DAISY players used with talking books, screen readers for reading screens, video magnifiers to aid low vision, Braille displays, and Braille PDAs. These essential devices have been successfully commercialized and have assisted many visually impaired people. Assistive technology devices for visually impaired people are called sensory substitution devices, because these devices substitute tactile or auditory functions for visual functions. The tactile interfaces of sensory substitution devices such as Braille displays and Braille PDAs have a bimorph type of piezoelectric actuator that forms a Braille (pin) of the Braille cells by moving up and down. KGS Corporation of Japan has more than 80% share of the worldwide market for these Braille cell actuators. Commercializing it for the first time in the world. This paper reviews the various endeavors in Japan in the research and development of tactile displays, such as Braille displays and Braille PDAs. Furthermore, it discusses sensory substitution devices that use tactile displays, focusing especially on the rotating Braille display we have developed.

• Journal of the Korean Society for Library and Information Science
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• v.50 no.1
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• pp.5-23
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• 2016

It has been shown that in the modern society, teenagers do not read a lot of books. As basic research in order to attract teenagers to reading activities, the effectiveness of booktrailers in affecting reading motivation of teenagers has been studied. As such, 121 middle school and high school students were surveyed with respect to their (1) basic awareness of reading and booktrailers, (2) awareness thereof after watching booktrailers, and (3) reader behaviour reaction applied to AIDMA & AISAS sub-elements. Results show booktrailers to be much more effective in reading motivation than printed media such as book reviews. The preferred booktrailer type is the storyline type. The preferred elements of booktrailers are the storyline, background music, video effects, with their preference in descending order. Also, in terms of the reader behaviour reaction of the teenagers, very positive responses appear across all areas including attention and interest in the book, memories of the book, desire to read the book, search for information, and production of booktrailers. These results indicate that booktrailers can be utilized very effectively in providing reading motivation and in reading expression activities.

• Journal of Digital Convergence
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• v.19 no.11
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• pp.471-483
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• 2021

The purpose of this study is to find out audience' response of virtual influencer at the starting line of virtual influencer marketing. Therefore, posts, comments, number of likes, and video reviews were collected from Instagram of virtual influencers active in Korea. Python 3.7 and Textom were used for data collection and analysis. Sentimental analysis showed that the rate of positivity was higher than the rate of negativity and neutrality. The appearance of virtual influencer was found to be a major factor in both positive and negative. Consumers' interest in virtual influencer could be inferred from the neutral sensibility. This study is meaningful in that it presented data to help establish strategies for virtual influencer marketing by examining consumer reactions to virtual influencer and identifying factors of positive and negative emotions toward virtual influencer.

• Communications of Mathematical Education
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• v.33 no.2
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• pp.47-66
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• 2019

The purpose of this study is followings. First, we develop and apply teaching and learning methods for conducting team projects in flipped calculus class. Second we collect data such as team reports, individual reviews, and surveys during class activities. Third we survey the impacts on participation in student team activities, advanced studying, communication and collaboration. A total of 120 engineering and science majoring students participated in the 16-week long class study administered in team project learning styles in Spring 2018. There were two characteristics of this class. First students studied concepts and examples with video in pre-class and did the team project learning in the classroom. Second we used Google Drive to record team project progress, and to make sure the instructor to intervene appropriately in team activities. We conducted a team project inside and outside the classroom. This could lead the instructor to advise students and so their participation in team activity increased. As a result, it not only had a good effect on communication and cooperation, but also had an effect on advanced learning.

• Fashion & Textile Research Journal
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• v.23 no.1
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• pp.44-56
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• 2021

This study analyzes the fashion video content of vegan YouTubers in order to understand how the vegan message is being conveyed in media. This study collected data with NoxInfluencer and conducted a case study of the vegan fashion YouTube content. We collected 143 videos for analysis as follows. The characteristics of vegan fashion content were divided into six categories. First, fashion know-how consisted of YouTubers' explanation on vegan fashion, from styling to where to buy vegan and fair trade products. Second, fashion haul content showed second hand products as well as certified vegan fashion products. Third, fashion daily life focused on a day in the life of a vegan YouTuber, casually showcasing fashion in real life. Fourth, fashion products reviews were about vegan YouTubers' thoughts and concerns about various vegan fashion brands and products. Fifth, fashion coordination category consisted of Lookbooks according to seasons. Last, the fashion entertainment category showed YouTubers challenging themselves to dress outside of their comfort zone. The content of the message was distinguished by consumption methods and aesthetic interaction. Also, vegan YouTubers were always anticipating the possibility of appealing to a wider demographic. This study differs from existing studies because it analyzed fashion YouTube content in order to understand the spread of a vegan message in the media environment. This study has its significance in suggesting the direction that the vegan community should take in delivering vegan messages in the future.

• Convergence Security Journal
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• v.11 no.5
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• pp.99-108
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• 2011

The purpose of this study is to profile actual conditions of personal information protection systems operated in overseas countries and examine major considerations of personal information that security service providers must know in the capacity of privacy information processor, so that it may contribute to preventing potential occurrence of any legal disputes in advance. Particularly, this study further seeks to describe fundamental idea and principle of said Personal Information Protection Act; enhancement of various safety measures (e.g. collection / use of privacy data, processing of sensitive information / personal ID information, and encryption of privacy information); restrictions on installation / operation of video data processing devices; and penal regulations as a means of countermeasure against leakage of personal information, while proposing possible solutions to cope with these matters. Using cases among foreign countries for this study. Possible solutions proposed by this study can be summed up as follows: By changing minds with sufficient legal reviews, it is required for security service providers to 1) clearly and further specify any purposes of collecting and using privacy information, if possible, 2) obtain any privacy information by legitimate means as it is necessary to collect such information, 3) stop providing any personal information for the 3rd parties or for any other purposes except fundamental purposes of using privacy information, and 4) have full knowledge about duty of safety measure in accordance with safe maintenance of privacy information and protect any personal information from unwanted or intentional leakage to others.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.112-119
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• 2023

Traditionally used for networking computers and communications, the Internet has been evolving from the beginning. Internet is the backbone for many things on the web including social media. The concept of social networking which started in the early 1990s has also been growing with the internet. Social Networking Sites (SNSs) sprung and stayed back to an important element of internet usage mainly due to the services or provisions they allow on the web. Twitter and Facebook have become the primary means by which most individuals keep in touch with others and carry on substantive conversations. These sites allow the posting of photos, videos and support audio and video storage on the sites which can be shared amongst users. Although an attractive option, these provisions have also culminated in issues for these sites like posting offensive material. Though not always, users of SNSs have their share in promoting hate by their words or speeches which is difficult to be curtailed after being uploaded in the media. Hence, this article outlines a process for extracting user reviews from the Twitter corpus in order to identify instances of hate speech. Through the use of MPCA (Modified Principal Component Analysis) and ECNN, we are able to identify instances of hate speech in the text (Enhanced Convolutional Neural Network). With the use of NLP, a fully autonomous system for assessing syntax and meaning can be established (NLP). There is a strong emphasis on pre-processing, feature extraction, and classification. Cleansing the text by removing extra spaces, punctuation, and stop words is what normalization is all about. In the process of extracting features, these features that have already been processed are used. During the feature extraction process, the MPCA algorithm is used. It takes a set of related features and pulls out the ones that tell us the most about the dataset we give itThe proposed categorization method is then put forth as a means of detecting instances of hate speech or abusive language. It is argued that ECNN is superior to other methods for identifying hateful content online. It can take in massive amounts of data and quickly return accurate results, especially for larger datasets. As a result, the proposed MPCA+ECNN algorithm improves not only the F-measure values, but also the accuracy, precision, and recall.