• Journal of Digital Contents Society
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• v.19 no.6
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• pp.1169-1176
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• 2018

This study aims to create a video-commerce website that uses video for Vietnamese consumers. First of all, we completed the persona by conducting understanding questionnaires, in - depth interviews, and analysis of prior research to understand the content interest and understanding of Vietnamese consumers, purpose of website use. Persona results: First, make it easy for Vietnamese and Korean people to interact with each other by creating a contact menu. Secondly, it would be provided various information about K-pop, Korean fashion, Korean makeup(cosmetics), Korean food, Korean travel, Korean, etc., which Vietnamese people are interested in. Third, it makes it easy to purchase the products that are shown in the video that they watch.

• 한국HCI학회:학술대회논문집
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• 2009.02a
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• pp.1321-1329
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• 2009

Web technology has allowed the rise of services such as blogs or YouTube that make possible the sharing of opinions, perspectives, and experiences with other users through contents. Online services that promote such sharing of information and communication are known as social media. Recently, the explosive growth of these services displays the carry-over of the natural sociality that all humans possess as social creatures. This study took an exploratory approach in investigating what influential relationships are involved in forming new relationships through sharing and participation, as sharing and participation are core keywords of social media. In order to do this, relationship formations were observed in actual usage environments with the use of the diary study method and in-depth interviews. This study sought to deduce necessary elements in relationship formations and examine the influences of weak ties on participation and sharing.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.17-23
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• 2018

The rapid development of mobile technology has increased the use of mobile devices, and the possibility of security incidents is also increasing. The leakage of information through photos is the most representative. Previous methods for preventing this are disadvantageous in that they can not take pictures for other purposes. In this paper, we design and implement a system to prevent information leakage through photos using object recognition and beacon. The system inspects pictures through object recognition based on deep learning and verifies whether security policies are violated. In addition, the location of the mobile device is identified through the beacon and the appropriate rules are applied. Web applications for administrator allow you to set rules for taking photos by location. As soon as a user takes a photo, they apply appropriate rules to the location to automatically detect photos that do not conform to security policies.

• Journal of Korean Library and Information Science Society
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• v.48 no.1
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• pp.161-189
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• 2017

The purpose of this study is to describe the experience of visually impaired academic researchers' use of scholarly contents and to explore intrinsic nature of the experience. In-depth interview was conducted with a total number of twelve visually impaired academic researchers and the data were analyzed using Colaizzi's phenomenological research method. A total of 107 significant statements were extracted, divided into 44 themes and 12 theme clusters. The statements were then classified into four categories. The 'scholarly contents acquisition and use' category has to do with difficulties that these experience when negotiating with internet sites with poor web accessibility and full-text availability. The 'changes in perception and emotions' category deals with transitions in perception and mood experienced by visually impaired academic researchers' over time. The 'relationships with support personnel' category includes issues related with the difficulty of securing support person, support person's inadequate level of competence, and establishing/sustaining personal relationships. Finally, the 'improvement requirements' category includes issues that these researchers want resolved with regard to contents acquisition and use.

• Journal of Digital Convergence
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• v.18 no.10
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• pp.403-408
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• 2020

This paper is to evaluate the usability of two representative video meeting services currently used by university for research to improve the quality of university remote lecture. questionnaires based on Kano Model were designed and in-depth interviews were conducted to provide qualitative approaches. Screen-sharing functions, the one-dimensional functions was the most important function. and attractive functions had relatively diverse directions. For essential functions, there was a wide gap in quality due to user-specific equipment. The function in which other platforms exist or business-related was not important. Webex reacted negatively to the aging UI, while Zoom responded negatively to the unilateral mute function. In addition, the development direction was presented in five ways as a result of analysis of these results. under Corona-19 situation, I hope this study will lead to continuous research to make stepping stone for remoted educational development.

• Journal of Digital Convergence
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• v.16 no.10
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• pp.205-212
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• 2018

With the development of high performance CPU / GPU, artificial intelligence algorithms such as deep neural networks, and a large amount of data, machine learning has been extended to various applications. In particular, a large amount of data collected from the Internet of Things, social network services, web pages, and public data is accelerating the use of machine learning. Learning data sets for machine learning exist in various formats according to application fields and data types, and thus it is difficult to effectively process data and apply them to machine learning. Therefore, this paper studied a method for building a learning data set for machine learning in accordance with standardized procedures. This paper first analyzes the requirement of learning data set according to problem types and data types. Based on the analysis, this paper presents the reference model to build learning data set for machine learning applications. This paper presents the target standardization organization and a standard development strategy for building learning data set.

• Information Systems Review
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• v.5 no.2
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• pp.1-21
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• 2003

In this paper, we investigate industrial product intermediary's transformation strategy by exploiting advantages afforded by web based information technologies. Our motivation for this research stems from exploring intermediary's responding strategy to cope with supplier's threatening to disintermediation. From transaction cost perspective, internet can induce both the vertical quasi-integration (electronic hierarchy) and outsourcing (electronic market). Our rationale on directing one of these bi-directional movements is specified on intermediary's value adding on the supply chain. As such, we investigated supply chain performance, IT effects on customer's requirement of channel functions, and channel power structure. Propositions to suggest contingent e-transforming strategic alternatives are logically derived from dyadic nature of supply chain characteristics such as efficiency versus customer services, and supplier dominant versus easy replaceability of suppliers. The contingent e-transformation framework developed from intermediary's perspective is reviewed through longitudinal industry case analysis. Implications from the industry case analysis give us insights for the effectiveness of the framework to combine supply chain characteristics with intermediary's e-transformation.

• The Journal of the Acoustical Society of Korea
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• v.40 no.5
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• pp.439-451
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• 2021

We propose a deep learning-based beamformer combined with spectral subtraction for continuous speech recognition operating in noisy environments. Conventional beamforming systems were mostly evaluated by using pre-segmented audio signals which were typically generated by mixing speech and noise continuously on a computer. However, since speech utterances are sparsely uttered along the time axis in real environments, conventional beamforming systems degrade in case when noise-only signals without speech are input. To alleviate this drawback, we combine online beamforming algorithm and spectral subtraction. We construct a Continuous Speech Enhancement (CSE) evaluation set to evaluate the online beamforming algorithm in noisy environments. The evaluation set is built by mixing sparsely-occurring speech utterances of the CHiME3 evaluation set and continuously-played CHiME3 background noise and background music of MUSDB. Using a Kaldi-based toolkit and Google web speech recognizer as a speech recognition back-end, we confirm that the proposed online beamforming algorithm with spectral subtraction shows better performance than the baseline online algorithm.

• 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.30 no.3
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• pp.223-244
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• 2019

This study aims to propose educational information services for social science teachers by analyzing their information seeking behaviors. The author carried out in-depth interviews with thirteen social science teachers in Daejeon and analyzed them using an information seeking behavior model of Leckie, Pettigrew and Sylvain. The study results showed that information needs of social science teachers arise from extrinsic and intrinsic motivations according to their work roles and tasks. Also, the characteristics of information needs such as repeatability, predictability, urgency, and complexity appear to influence information seeking behaviors. The participants used various information sources including web, book, and interpersonal sources. Moreover, the study observed some factors that may influence perception toward information sources such as trustworthiness, information quality, packaging, prior success experience. Finally, the perception change and use frequency of information sources were also identified. Based on these findings, the author proposed information services for social science teachers including integrated information provision services, information literacy programs, networking services and readers advisory services.