• Journal of Korea Multimedia Society
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• v.20 no.9
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• pp.1541-1550
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• 2017

The increasing number of multimedia content offered to the user demands content recommendation. In this paper, we propose a system for recommending content related to the content that user is watching. In the proposed system, relationship information between content is generated using relationship information between representative keywords of content. Relationship information between keywords is generated by analyzing keyword collocation frequencies in Internet news corpus. In order to handle big corpus data, we design an architecture that consists of a distributed search engine and a distributed data processing engine. Furthermore, we store relationship information between keywords and relationship information between keywords and content in NoSQL to handle big relationship data. Because the query optimizer of NoSQL is not as well developed as RDBMS, we propose query optimization techniques to efficiently process complex queries for recommendation. Experimental results show that the performance is improved by up to 69 times by using the proposed techniques, especially when the number of requested related keywords is small.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.66 no.7
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• pp.1083-1091
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• 2017

As big data technologies have been developed and massive data have exploded from users through various channels, CEO of global IT enterprise mentioned core importance of data in next generation business. Therefore various machine learning technologies have been necessary to apply data driven services but especially recommendation has been core technique in viewpoint of directly providing summarized information or exact choice of items to users in information flooding environment. Recently evolved recommendation techniques have been proposed by many researchers and most of service companies with big data tried to apply refined recommendation method on their online business. For example, Amazon used item to item collaborative filtering method on its sales distribution platform. In this paper, we develop a commercial web service for suggesting music contents and implement three representative collaborative filtering methods on the service. We also produce recommendation lists with three methods based on real world sample data and evaluate the usefulness of them by comparison among the produced result. This study is meaningful in terms of suggesting the right direction and practicality when companies and developers want to develop web services by applying big data based recommendation techniques in practical environment.

• 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.265-274
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• 2021

This study empirically analyzed the users' experiences with the Netflix thumbnail curation based on the Technology Acceptance Model(TAM). According to the correlation analysis results, the higher the dependence on the thumbnails, the higher the satisfaction with the thumbnail curation. Both Perceived Informational Usefulness(PIU) and Perceived Ease of Use(PEOU) had correlations with the degree of satisfaction with the thumbnail curation. In particular, the factors of relevance in PEOU had the greatest impact on the degree of satisfaction and this result proved that the suitability factors of the thumbnails had significant correlations with the degree of satisfaction. The degree of satisfaction with the thumbnail curation also positively correlated with Netflix's overall degree of satisfaction and behavioral intention to use the Netflix. This study demonstrated the suitability of the TAM as a UX evaluation tool for the Netflix thumbnail curation.

• Journal of Convergence for Information Technology
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• v.11 no.7
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• pp.118-127
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• 2021

This study aims to examine satisfaction of nursing students with online classes during first semester of 2020 after COVID-19 pandemic and the difference in satisfaction according to general and online-related characteristics. An online survey was conducted for all nursing students, and subsequently 627 responses were analyzed by t-test and ANOVA with SPSS WIN. Result reveals that students ability to use IT devices was above average, and most of them used laptop computers. Pre-recorded video lecture format was used the most, and improvement of online content was demanded the highest. Overall satisfaction with online classes was scored 3.0/5.0, with the highest satisfaction for anytime and anywhere learning, and the lowest satisfaction in recommending online classes to others. There were significant differences between self-evaluation on own grade, ability to use IT devices, format of online classes, and satisfaction about online classes. Through this study, it would be possible to suggest a plan to increase satisfaction of online class and basic data to establish university policy for online classes after COVID-19.

• The Journal of the Korea Contents Association
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• v.20 no.4
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• pp.202-211
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• 2020

This study examined the effects of online search service users' experiences on search satisfaction by the types of main search results. As a result of the survey, the negative experience of using the search result in the specific service area among the integrated search results is the most irrelevant regardless of the type of search result with the lowest usage rate. In particular, users are often exposed to advertising information and valuable or low useful information, and information inaccuracy, bias, and personal information leakage experience are relatively higher than other search results. Satisfaction by type of search result of online search service showed only difference in interest of search result, and no other satisfaction factor was found by type of search result. Looking at the experience factors that affect the satisfaction of each type of search results, in the case of general integrated search results except search websites such as search ads and search ads, the more accurate information is provided, the more satisfied the search results are. In the case of, the provision of high value and useful information has a positive effect on satisfaction. After all, it is implied that online search service providers should consider the highest priority for improving the service, improving the accuracy of information and the value and usefulness of information.

• Journal of Digital Contents Society
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• v.17 no.6
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• pp.581-592
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• 2016

WebRTC has quickly grown to be the world's advanced real-time communication in several platforms such as web and mobile. In spite of the advantage, the current technology in WebRTC does not handle a big-streaming efficiently between peers and a large amount request of users on the Signaling server. Therefore, in this paper, we put our work to handle the problem by delivering the flow of data with dynamical load balancing algorithms. We analyze the request source users and direct those streaming requests to a load balancing component. More specifically, the component determines an amount of the requested resource and available resource on the response server, then it delivers streaming data to the requesting user parallel or alternately. To show how the method works, we firstly demonstrate the load-balancing algorithm by using a network simulation tool OPNET, then, we seek to implement the method into an Ubuntu server. In addition, we compare the result of our work and the original implementation of WebRTC, it shows that the method performs efficiently and dynamically than the origin.

• The Journal of the Korea Contents Association
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• v.16 no.8
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• pp.90-96
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• 2016

The 3390 million people, around 83% of the adult population in Korea use smartphone. Although the safety problem of the certificate has been occurred continuously, most of these users use the certificate. These safety issues as a solution to 'The owner of a mobile phone using SMS authentication technology', 'Biometric authentication', etc are being proposed. but, a secure and reliable authentication scheme has not been proposed for replace the certificate yet. and there are many attacks to steal the certificate and private key. For these reasons, security experts recommend to store the certificate and private key on usb flash drive, security tokens, smartphone. but smartphones are easily infected malware, an attacker can steal certificate and private key by malicious code. If an attacker snatchs the certificate, the private key file, and the password for the private key password, he can always act as valid user. In this paper, we proposed a safe way to keep the private key on smartphone using smartphone's unique information and user password. If an attacker knows the user password, the certificate and the private key, he can not know the smart phone's unique information, so it is impossible to use the encrypted private key. Therefore smartphone user use IT service safely.

• The Journal of the Korea Contents Association
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• v.13 no.12
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• pp.221-234
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• 2013

National Research Foundation of Korea (NRF) provides underpinning to boost international competitiveness in convergence research including research amalgamating Science and Engineering with Humanities and Social Sciences. Division of Electrical Engineering, Information Sciences and Convergence Research recategorized a scientific and engineering array of convergence research in basic sciences and reformed a Convergence Research Support Framework in 2012. The test case was thoroughly analyzed and reviewed for successful application in the 2013 mid-career researcher program. The core of convergence research-specific review process is 'Suitability Review' that is performed by the 'Suitability Review Committee for Convergence Research' and 'Merit Review' that is conducted as a conventional peer review. As a good result of the pilot program, prior allocation of budget for convergence research was decided to the 2013 Core Research Program and the modified convergence Research Support Framework was extensively applied in the '2013 Implementation Plan for Basic Research Program in Science and Engineering.'

• The Journal of the Korea Contents Association
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• v.12 no.4
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• pp.198-215
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• 2012

Green Exhibition and Convention property of the participant satisfaction and impact on the performance of participating companies by looking out for the future development of the national economy on the local economy and help the continued growth of the Green Exhibition and Convention that will help to provide basic data for the purpose of. The results of this study participated in the Green Exhibition and Convention on the expectation of fame exhibit variable, based on the venue, the exhibition publicity, Green Exhibition and Convention Services, Green Exhibition and Convention facilities, information, PC communication or the Internet web site, information, and with the encouragement of those around these parameters and variables of trust as being based on the venue, the exhibition publicity, Green exhibition and Convention Services, Convention and Exhibition as being green in order to increase its influence on expectations and confidence to increase the satisfaction of the variable parameters should be of the utmost importance. Participants to meet the expectations of the variables in the Exhibition, Exhibition of trust, sex, male and recommendation showed by influence. This is an important variable affecting showed. Satisfaction of participants and exhibitors were on.