• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.18 no.5
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• pp.161-169
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• 2018

This study presents a time synchronization system in decentralized structure by using the blockchain, a core technology of Bitcoin introduced by Satoshi Nakamoto in 2008. In this study, Getting away from existing time synchronization system in centralized structure, A blockchain network has completely decentralized structure using public blockchain. In decentralized structure, Only certain peers among the peers that participate in a blockchain network access the NTP server. Therefore, others can synchronize time without having to go to public network. Furthermore if appropriate time synchronization cycles are established for each peer, time synchronization can be maintained even when connection to public network is completely lost. A time synchronization system in this study has advantages of p2p system and can be also guaranteed reliability and stability because it used digital signature, merkle tree, consensus algorithm which are core characteristics of block chains.

• Journal of Digital Convergence
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• v.8 no.1
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• pp.109-120
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• 2010

Mobile phone-related industries have been mainly concentrated on attracting the new customers and increasing the market share such as for the aggressive marketing activities, but it is the time to find an effective strategy to preserve existing customers since the mobile phone market had already reached the saturation. In this study, the properties of mobile phone that influence on the choice of handset and telecom company were analyzed. General properties of respondents were explored and the mobile phone properties were grouped by common factors. And analyzed the effect of factors on customer satisfaction with structural equation model. 10.4% of respondents are used their handset more than two years and 48.7% wanted to purchase other manufacturer's handset if they repurchase mobile phone. These results might come form the fact that the life cycle of mobile phone become shorter by the heating competition in mobile phone market and, to some degree, the influence of smart phone which recently become globally popular. Four factors, 'Hardware Quality', 'Practicality', 'Convergence Functions' and 'Level of Awareness', are induced from the mobile phone properties. In Structural Equation Model analysis, 'Hardware Quality' and 'Practicality' have significant and positive effects on Customer Satisfaction. But, 'Awareness' such as brand and trend appeared quite less influence on the customer satisfaction.

• Journal of Digital Convergence
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• v.20 no.5
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• pp.569-584
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• 2022

This study can be helpful in establishing and establishing company-wide marketing strategies from the supplier's point of view by analyzing the effects of rental service users' risk perception and service quality on customers' re-use intentions, and revealing differences according to demographic characteristics. It was intended to provide valid results. A total of 218 data were used as analysis data. Frequency, factor, mean, reliability and regression analysis, ANOVA, and t-test were performed through SPSS program (statistics). As a result of the study, first, as a result of analyzing the effect of risk perception on rental service quality, functional and psychological risks have a negative (-) effect on service quality. Second, in the relationship between service quality and re-use intention, the empathy factor has a high positive (+) effect, and as a result of analyzing the effect of risk perception on re-use intention, functional and psychological risk have the greatest influence, and financial Risk perception was also highly influential. In conclusion, the research results suggest that increasing the concentration of marketing strategies by reducing the negative (-) effect related to risk perception for short-term customers and housewives and enhancing the reliability and empathy for service quality can maximize the sales of suppliers.

• Journal of Digital Convergence
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• v.12 no.9
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• pp.379-385
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• 2014

N-Screen era is held due to the cloud computing technology which access to contents anytime, anywhere without any persistent. In the broadcast industry, this broadcast contents is rapidly serviced by variety of media devices such as PC, Smart phone, Tablet, App, IPTV. To Increase the usefulness and usability of the platform, same brand identity have to be maintain by devices and integrated guide which can encompass a variety of media are needed. This study tries to figure out the need of New Media Style Guide to keep brand identity in a variety of new media beyond previously Web style guide which limited in the Web pages. First, Integrated Guide GEL of BBC's and Web style guide of KBS was analyzed. Through the analysis it was found that the limitations and problem of the current web style guide and then suggested the improvement direction. In addition, this study tried to find which design elements should be made for new media style guides through in-depth interview with practitioners who work in broadcast media industry for more than three years. Through the research it was understood the current status of integrated brand identity and found a way to improve forward to new media platforms of KBS.

• Science of Emotion and Sensibility
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• v.10 no.1
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• pp.13-21
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• 2007

Many companies launched convergence products that are merged with several functions. Mobile convergence has some advantages such as portable convenience, usability of use, economic advantage that takes parts of the common component among products in the aspects of the digital products. Even though a plenty of items launched by convergence boom in the market, not tons of convergence products succeeded in the market because One of the major reasons is that companies don't take consumer evaluations in the process of the product development. It is important to set up infrastructure and excellent quality of the products for lasting the lifecycle of the convergence items. But, above all, it is imperative to find out how consumers evaluate convergence products and what they are affected to meet their satisfaction. Nevertheless, there are few case studies about consumer evaluations in mobile convergence until now. This study is to find out how consumers evaluate convergence products and what is the factor. This study surveyed 158 subjects and used multi-regression analysis and ANOVA(analysis of variance). The results of this study show that factors such as relative advantages, complexity, observability, perceived convenience affect the attitude of consumers.

• Journal of Digital Convergence
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• v.17 no.9
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• pp.97-104
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• 2019

With the development and spread of smart devices, the proportion of mobile shopping is gradually increasing, and the market for mobile gift certificates is also increasing. This study examines the usage status and acceptance attitude of mobile gift certificates for university students who are major customers of mobile gift certificates. Also, based on the extended integrated technology acceptance model (UTAUT2), the results of the analysis of the mediating effect of the intention of the user on the relationship between acceptance of mobile vouchers and recommendation intention were presented. As a result of the analysis, it was shown that the effort expectation, hedonic motivation, price utility, and habit had significant influence on the intention to use the mobile gift certificates. Also, the intention to use mobile gift certificates has mediating effects between effort expectation, hedonic motivation, price utility and recommendation intention. The results of this study can be applied to strategic marketing such as recruitment of new customers through mobile gift certificates while explaining customers' acceptance of technology to mobile gift vouchers or future prospective customers.

• KIPS Transactions on Software and Data Engineering
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• v.12 no.7
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• pp.315-324
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• 2023

A simple and accurate whole body rehabilitation interaction technology using immersive digital content is needed for elderly patients with steadily increasing age-related diseases. In this study, we introduce whole-body interaction technology using HoloLens and Kinect for this purpose. To achieve this, we propose three coordinate transformation methods: mesh feature point-based transformation, AR marker-based transformation, and body recognition-based transformation. The mesh feature point-based transformation aligns the coordinate system by designating three feature points on the spatial mesh and using a transform matrix. This method requires manual work and has lower usability, but has relatively high accuracy of 8.5mm. The AR marker-based method uses AR and QR markers recognized by HoloLens and Kinect simultaneously to achieve a compliant accuracy of 11.2mm. The body recognition-based transformation aligns the coordinate system by using the position of the head or HMD recognized by both devices and the position of both hands or controllers. This method has lower accuracy, but does not require additional tools or manual work, making it more user-friendly. Additionally, we reduced the error by more than 10% using RANSAC as a post-processing technique. These three methods can be selectively applied depending on the usability and accuracy required for the content. In this study, we validated this technology by applying it to the "Thunder Punch" and rehabilitation therapy content.

• Journal of the Korea Convergence Society
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• v.9 no.5
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• pp.33-41
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• 2018

The purpose of this study is to develop more accurate and robust emotion prediction neural network (EPNN) model by combining heart rate variability (HRV) and neural network. For the sake of improving the prediction performance more reliably, the proposed EPNN model is based on various types of activation functions like hyperbolic tangent, linear, and Gaussian functions, all of which are embedded in hidden nodes to improve its performance. In order to verify the validity of the proposed EPNN model, a number of HRV metrics were calculated from 20 valid and qualified participants whose emotions were induced by using money game. To add more rigor to the experiment, the participants' valence and arousal were checked and used as output node of the EPNN. The experiment results reveal that the F-Measure for Valence and Arousal is 80% and 95%, respectively, proving that the EPNN yields very robust and well-balanced performance. The EPNN performance was compared with competing models like neural network, logistic regression, support vector machine, and random forest. The EPNN was more accurate and reliable than those of the competing models. The results of this study can be effectively applied to many types of wearable computing devices when ubiquitous digital health environment becomes feasible and permeating into our everyday lives.

• Journal of the Korea Society of Computer and Information
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• v.16 no.8
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• pp.1-10
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• 2011

Recently, cloud computing which has provided enabling convenience that users can connect from anywhere and user friendly environment that offers on-demand network access to a shared pool of configurable computing resources such as smart-phones, net-books and PDA etc, is to be watched as a service that leads the digital revolution. Now, when business practices between departments being integrated through a cooperating system such as cloud computing, data streaming between departments is getting enormous and then it is inevitably necessary to find the solution that person in charge and find data they need. In previous studies the clustering simplifies the search process, but in this paper, it applies Hash Function to remove the de-duplicates in large amount of data in business firms. Also, it applies Bayesian Network of data mining for classifying the respect data and presents handling cloud computing based data. This system features improved search performance as well as the results Compared with conventional methods and CPU, Network Bandwidth Usage in such an efficient system performance is achieved.

• Information Systems Review
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• v.25 no.1
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• pp.233-255
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• 2023

The development of information technology(IT) has brought so-called "online experience" to satisfy our daily needs. The market for online experiences grew more during the COVID-19 pandemic. Therefore, this study attempted to analyze how the features of online experience services affect customer satisfaction by crawling structured and unstructured data from the online experience web site newly launched by Airbnb after COVID-19. As a result of the analysis, it was found that the structured data generated by service users on a C2C online sharing platform had a positive effect on the satisfaction of other users. In addition, unstructured text data such as experience introductions and host introductions generated by service providers turned out to have different subjectivity scores depending on the purpose of its text. It was confirmed that the subjective host introduction and the objective experience introduction affect customer satisfaction positively. The results of this study are to provide various implications to stakeholders of the online sharing economy platform and researchers interested in online experience knowledge management.