• ETRI Journal
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• v.30 no.6
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• pp.868-870
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• 2008

The rotation-based transformation (RBT) for privacy preserving data mining is vulnerable to the independent component analysis (ICA) attack. This paper introduces a modified multiple-rotation-based transformation technique for special mining applications, mitigating the ICA attack while maintaining the advantages of the RBT.

• Journal of Korea Multimedia Society
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• v.21 no.11
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• pp.1353-1361
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• 2018

With the availability of real-time educational data collection and analysis techniques, the education paradigm is shifting from educator-centric to data-driven lectures. However, most offline and online education frameworks collect students' feedback from question-answering data that can summarize their understanding but requires instructor's attention when students need additional help during lectures. This paper proposes a content restructure recommendation framework based on collected student feedback. We list the types of student feedback and implement a web-based framework that collects both implicit and explicit feedback for content restructuring. With a case study of four-week lectures with 50 students, we analyze the pattern of student feedback and quantitatively validate the effect of the proposed content restructuring measured by the level of student engagement.

• International journal of advanced smart convergence
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• v.11 no.2
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• pp.95-101
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• 2022

The development of the 4th industry has increased social media, and the rise of COVID-19 has stimulated non-face-to-face services. People's consumption patterns are also changing a lot due to non-face-to-face services. In this paper, food content keywords are derived through social network-based semantic network analysis, emotions are analyzed, and keywords applied to food recommendation platforms are input. We collected food, influencer, and corona keyword analysis data through Textom. A lot of research has been done through online reviews of existing influencer content. However, there is a lack of research on keyword sentiment analysis provided by influencers rather than consumers and research perspectives. This paper uploads language and topics derived through online reviews of existing publications and subscribers, and goes beyond the limits used in marketing methods. By analyzing keywords that influencers suggest when uploading content, you can apply data that applies them to food recommendation platforms and applications.

• ETRI Journal
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• v.41 no.3
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• pp.348-357
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• 2019

Fog radio access network (F-RAN) architectures provide markedly improved performance compared to conventional approaches. In this paper, an efficient genetic algorithm-based content distribution scheme is proposed that improves the throughput and reduces the transmission delay of a F-RAN. First, an F-RAN system model is presented that includes a certain number of randomly distributed fog access points (F-APs) that cache popular content from cloud and other sources. Second, the problem of efficient content distribution in F-RANs is described. Third, the details of the proposed optimal genetic algorithm-based content distribution scheme are presented. Finally, simulation results are presented that show the performance of the proposed algorithm rapidly approaches the optimal throughput. When compared with the performance of existing random and exhaustive algorithms, that of the proposed method is demonstrably superior.

• The Journal of Information Systems
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• v.13 no.1
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• pp.121-134
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• 2004

As Internet usage widely grows, online content services such as newspaper, magazine, music, game and movie are provided with a fee-based subscription. Many content services providers consider charging a usage fee into its service provisions as one of the Internet business models for increasing revenue. There are customer resistances to adopting the fee-based service provision on the Web. Previous research in information systems (IS)has focused on the analysis of adoption of information technology or systems in the individual ororganization level. No principle research has been carried out on the user adoption behavior of online content services provisions. As users actively access content services on the Web, it needs to explore user adoption behavior in different settings. Many IS researcher have employedquantitative approaches, even though they deal with the process of user behavior regarding the information technology or system. In this study, we attempt to discover how customers adopt the fee-based provision of online content services by employing grounded theory, one of the principal qualitative research methods.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.1
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• pp.25-40
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• 2023

Recommendation systems are frequently used by users to generate intelligent automatic decisions. In the study of movie recommendation system, the existing approach uses largely collaboration and content-based filtering techniques. Collaborative filtering considers user similarity, while content-based filtering focuses on the activity of a single user. Also, mixed filtering approaches that combine collaborative filtering and content-based filtering are being used to compensate for each other's limitations. Recently, several AI-based similarity techniques have been used to find similarities between users to provide better recommendation services. This paper aims to provide the prospective expansion by deriving possible solutions through the analysis of various existing movie recommendation systems and their challenges.

• Journal of Korea Society of Digital Industry and Information Management
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• v.9 no.4
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• pp.213-226
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• 2013

Recently, the social commerce on Facebook.com and Twitter.com, which is represented by SNS (Social Network Service), has been expanding in the form of a combination of SNS market. This study attempted to examine the cost-effect analysis between portal-based advertisement and SNS-based advertisement in order to establish an effective advertising strategy for e-learning content providers. The results showed that portal-based advertisement is more effective than SNS-based advertisement in terms of advertising effectiveness against cost. According to these empirical research results, this article discusses the practical implications for e-learning content providers in an attempt to enable them to take competitive advantage.

• Korean Journal of English Language and Linguistics
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• v.3 no.2
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• pp.233-254
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• 2003

This paper analyzed the effect of using a content-based English textbook in teaching English to Korean college students. The textbook reflected the recent trend in EFL/ESL development that subject matters should be taught as part of the language instruction. The analysis of the questionnaire survey conducted to college students at the end of the semester revealed an encouraging result that this new type of ELT college textbook is effective in helping Korean college students prepare for learning their subject areas through English. Based on this positive outcome, a suggestion is made that the current general purpose college English teaching curriculum be shifted toward a content-based specific purpose type to accommodate the increasing demand of learning subject areas through English in colleges in Korea.

• Journal of Korean society of Dental Hygiene
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• v.19 no.3
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• pp.437-448
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• 2019

Objectives: The purpose of this study was to suggest an effective instruction method for dental hygiene students by determining the degree of importance and satisfaction that they attach to the courses. Methods: Data obtained from a survey that was conducted on 654 dental hygiene students were analyzed. Statistical Package for the Social Sciences version 23.0 was used for the statistical analysis. A paired t-test was conducted to detect the differences between the degree of importance that the respondents attached to the courses and the degree of satisfaction they achieved. A comparative analysis of the two was performed using the IPA analysis. Results: Regarding the items, the respondents found the environment most important, followed by the content, method, perspective, and assessment. Regarding satisfaction, they were most satisfied with the environment, followed by the perspective, method, content, and assessment. Regarding the importance of ideal teaching, the respondents gave the highest priority to 'a class in which the core content is summarized, emphasized, and explained.' The satisfaction was the highest toward 'PowerPoint-based classes in which the core content is well-organized.' Based on the results of the IPA analysis, the respondents regarded 16 items as requiring maintenance and continuous efforts, 12 items as low priority, and 4 items as requiring excessive efforts and timely improvement. Conclusions: An ideal class requires the instructor to utilize various teaching methods that would enable the students to comprehend the detailed teaching content and elicit active interaction and feedback from the students through easy-to-understand lectures that are appropriate for students.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.761-776
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• 2022

For fostering the biomedical industry, the formation of a high-tech-based innovation cluster is continuously being promoted. Accordingly, studies dealing with domestic clusters are being conducted based on case studies on major overseas clusters, but they are limited to a single case. In this paper, content analysis was used based on the literature about innovation clusters and bio-medical industry to comprehensively summarize the factors to be considered for the creation and activation of bio-medical clusters. Subsequently, the factors derived through content analysis were applied to the case of the Hongreung Innotown. The requirements for the successful creation of the Hongreung Innotown, it is required to improve settlement conditions, prepare systems to create start-up culture, and revitalize translational research, attract investment, and cooperate and connect with local clusters.