• Journal of The Korean Association of Information Education
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• v.20 no.2
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• pp.189-196
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• 2016

The PATROL instructional model only uses digital textbooks. PATROL is an acronym for Planning, Action, Tracking, Recommending, Ordering, and Leading. Teachers have a difficult time using current digital textbooks to determine how much time students spend using course materials. This is because current digital textbooks can only show the content of paper textbooks and display additional multimedia materials. In this study, digital textbook functions were designed based on the PATROL model in order to analyze students' learning situations, diagnose problems, and offer solutions. Digital textbook are based on learning analytics named SEE-PAD. SEE-PAD is composed of the following: Social network analysis; Evaluation and assEssment analysis; Predictive analysis; Adaptive learning analysis; and the analysis Dashboard. I drew and showed the use case and sequence diagrams of SEE-PAD to help design digital textbook functions.

• Journal of Broadcast Engineering
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• v.15 no.5
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• pp.632-641
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• 2010

This paper shows the research about the personalized broadcasting system. The personalized broadcasting is the service that users only show the programs which they want to watch when they want to watch these. The purpose of the bi-directional broadcasting service is supporting more satisfied and more personalized services by permitting the bi-directional data transformation. This research also develops the user profiling system for the bi-directional and personalized broadcasting service. This system applied the TV-Anytime metadata specifications which is the standard for the personalized broadcasting services, the system supports the various functions for the bi-directionl and personalized broadcasting such as the user profiling, contents metadata and targeting advertisement services. The bi-directional and personalized broadcasting system increases the users' satisfaction with the recommendation and management of the personally favorite broadcasting contents and advertisements, the trial run results show that the services raise the users' satisfaction with the intelligent and discriminating broadcasting services.

• Journal of the Korea Society of Computer and Information
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• v.18 no.5
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• pp.43-52
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• 2013

In recent years, a large amount of music content is distributed in the Internet environment. In order to retrieve the music content effectively that user want, various studies have been carried out. Especially, it is also actively developing music recommendation system combining emotion model with MIR(Music Information Retrieval) studies. However, in these studies, there are several drawbacks. First, structure of emotion model that was used is simple. Second, because the emotion model has not designed for Korean language, there is limit to process the semantic of emotional words expressed with Korean. In this paper, through extending the existing emotion model, we propose a new emotion model KOREM(KORean Emotional Model) based on Korean. And also, we design and implement ontology using emotion model proposed. Through them, sorting, storage and retrieval of music content described with various emotional expression are available.

• The Journal of the Korea Contents Association
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• v.15 no.10
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• pp.481-494
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• 2015

The objective of this study is to verify the correlations among design quality of domestic internet fashion shopping mall and relations to specific shopping malls, and shopping mall users' intention to continue the relations. The main results were withdrawn as follows. First, it was found that some factors of internet fashion shopping mall design quality had significant positive influences on the qualities of relationship to users such as reliability, satisfaction and devotion. Second, it was found that all components of quality of customer relationship to internet fashion shopping mall such as reliability, satisfaction and devotion had significant positive influence on their intention to continue relations to the internet shopping mall. Third, graphic and multimedia quality of internet fashion shopping mall design components had significant positive influences on internet fashion shopping mall users' intention to continue relationship to the shopping mall. Empirical study of qualities on the relationship between internet fashion shopping mall design quality and its users, their intention to repurchase or recommend goods from the mall would be very valuable in a management point of view of small internet fashion shopping mall.

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.5
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• pp.616-621
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• 2006

Recently many cars are equipping a navigation system. The main purpose of the early system guides a user through the route. A navigation system includes various abilities by development of various technologies and it has given more convenience to user. It can play various records on the tape and announces which are useful information about each road. Also it can use various multi-media contents by DMB device during driving. However, guide function of basic and important road in the navigation system has not grown greatly yet. In this paper, we proposed recommendation method of human-friendly road considering user's condition through various information of outside environment, user's velocity intention, a driver's emotion and a preference of the road. Modules consists of hierarchical structure that can easily correct and add each algorithm and those use fuzzy logic algorithm.

• Journal of Digital Convergence
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• v.19 no.10
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• pp.303-317
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• 2021

The purpose of this study is to analyze the competitiveness of OTT operators by developing an analysis framework specialized for the OTT industry. Based on existing research on business model, platform business model, and OTT characteristics, the OTT platform business model framework was developed, and case analysis was conducted based on data from related materials, literature, and internal data to suggest the direction for domestic OTT operators. As a result of the study, domestic OTT operators should use advanced AI and big data technologies to produce original content and improve the infrastructure and service quality of the platform. This study is meaningful in that it provides an analysis framework for OTT operators to establish their own competitive strategies and suggests the direction for domestic OTT operators through case application.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.12
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• pp.1567-1573
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• 2020

The development of Internet technology has brought the era of one-man media. An individual produces content on user own and uploads it to related online services, and many users watch the content of online services using devices that allow them to use the Internet. Currently, most users find and watch content they want through search functions provided by existing online services. These features are provided based on information entered by the user who uploaded the content. In an environment where content needs to be retrieved based on these limited word data, user unwanted information is presented to users in the search results. To solve this problem, in this paper, the system actively analyzes the video in the online service, and presents a way to extract and reflect the characteristics held by the video. The research was conducted to extract morphemes based on the story content based on the voice data of a video and analyze them with big data technology.

• Journal of the Korea Convergence Society
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• v.12 no.2
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• pp.51-60
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• 2021

Due to the growth of digital media technology, there is increasing demand of personalized education based on context data of learners throughout overall education area. For music education, several studies have been conducted for providing appropriate educational contents to learners by considering some factors such as the proficiency, the amount of practice, and their capability. In this paper, a technique has been defined to recommend the appropriate music scores to learners by extracting and analyzing the practice data and chord data. Concretely, several meaningful relationships among chords patterns and learners were analyzed and visualized by constructing the learners' profiles of proficiency, extracting the chord sequences from music scores. In addition, we showed the potential for use in personalized education by analyzing music similarity, learner's proficiency similarity, learner's proficiency of music and chord, mastered chords and chords sequence patterns. After that, the chord practice programs can be effectively generated considering various music scores using the synthetically summarized chord sequence graphs for the music scores that the learners selected.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.10
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• pp.1441-1446
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• 2022

Modern people can access various information about food recipes very easily on the Internet or social media. As the supply of food recipes increases, it is difficult to find a suitable recipe for each user in the overflowing information. As such, the need to provide information by reflecting users' requirements has increased, and research related to food recipes and cooking recommendations is becoming active. In addition, the Internet, video, and application markets using this are also rapidly activating. In this study, in order to classify recipes from the user's perspective of food recipe users, the user's review data was applied with the k-mean clustering technique, which is unsupervised learning, and a "food recipe classification model" was derived. As a result, it was classified into a total of 25 clusters including information needed by many users, such as specific purposes and cooking stages.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.5
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• pp.211-218
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• 2016

This study focuses on the evaluation on the satisfaction of school education system based on perception levels of students corresponding to school locations. Twenty eight variables concerning with school education system were selected based on literature review and six factors such as reliability, sympathy, student supporting system, teachers' ability, principal physical environments, secondary physical environments were extracted by factor analysis. Satisfaction evaluation was performed by SERVPERP model based on perception level, and differences among respondents as well as school locations were analyzed by t-test and ANOVA. The results said there is no difference on teachers' ability factors. Especially, perception levels of students in rural area were lower than those in urban area except teachers' ability and secondary physical environments factors. Most respondents dissatisfy the school education system and they have no intention to recommend their school facilities (hardware) as well as educational programs (software) to other students in different schools.