• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.6 no.12
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• pp.605-619
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• 2016

This study aims to figure out effects of the rewards applications receiving a lot of attention recently as mobile advertising using the smartphones. Therefore, this study examines differences of user satisfaction and continued use intention according to a user characteristic, demographic characteristic and rewards application characteristic. The research results are as follow. First, in terms of user satisfaction of the rewards applications, there is a significant difference according to the user gender and existence of the reserved value experience. Second, there is a significant difference in the continued use intention of the applications according to the user type and gender. Third, it is also found that there is an interaction effect between the user gender and existence of the reserved value use experience on the continued use intention. This study is significant in that the results may provide future researchers with practical foundations for marketing strategies to activate the rewards applications.

• Proceedings of the Korea Contents Association Conference
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• 2016.05a
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• pp.205-206
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• 2016

현재 리워드 앱은 스마트폰을 이용해 부가적인 혜택을 누릴 수 있는 인기 앱 서비스로 지속적인 성장과 함께 서비스의 범위가 확대되고 있어 사용성을 고려한 디자인의 연구가 필요하다. 본 연구는 리워드 앱 상위 4개를 사용자경험을 바탕으로 한 GUI디자인의 사용성 평가를 디자인전공자 30명의 설문으로 진행하였다. 리워드 앱 GUI구성요소에 따른 사용성 평가 결과는 5점 만점에 '캐시슬라이드' 3.97로 가장 높고, '허니스크린' 3.18, '넥슨플레이' 3.07, '라떼스크린'2.9 순으로 나타났다. 본 연구가 향 후 경쟁력있는 리워드 앱의 GUI요소 개발에 도움이 되기를 기대한다.

• Journal of Digital Convergence
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• v.20 no.3
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• pp.251-264
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• 2022

The purpose of this study is to present factors and strategies for successful rewarded-crowdfunding of companies. For this, rewarded-crowdfunding based on the extended theory of planned behavior(E-TPB) by adding individual innovation and risk preference as extended variables, in addition to the basic variables of the theory of planned behavior(TPB), including attitude, subjective norm, and perceived behavior control. In addition, the moderating effect of rewarded-crowdfunding experience was confirmed. In addition, the moderating effect of the rewarded-crowdfunding experience was confirmed, and exploratory factor analysis and multiple regression analysis were conducted for questionnaires who were aware of the concept of rewarded-crowdfunding. As a result of testing the hypothesis, it was found that attitude, subjective norm, perceived behavioral control, and risk preference affect the intention to invest in rewarded-crowdfunding. Also, we could find that perceived behavior control and risk preference were moderately influenced by investor who had experience in rewarded-crowdfunding. Based on the research results, it has academic and practical value by presenting the direction of enhancing the success of rewarded-crowdfunding that companies can use as a way to raise funds and boost sales.

• Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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• 2002.11a
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• pp.215-218
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• 2002

패스워드 기반 키분배 프로토콜의 가장 중요한 요구사항 중 하나는 사전공격과 같은 패스워드 추측 공격에 대하여 안전하여야 한다. 그러나 지금까지 제안된 패스워드 추측 공격에 대한 안전성은 비밀 서버를 가정하고 있다. 즉, 검증자 기반 방식이더라도 서버에 저장되어 있는 패스워드 검증자가 비밀리에 보관되어야 한다는 단점이 있다. 본 논문에서는 새로운 방식의 다중 서버를 이용한 패스워드 기반 키분배 방식을 제안한다. 딜리는 사용자에 대한 인증 및 검증자를 각 서버에 전송하는 일을 담당한다. 사용자는 특정 서버와 단독으로 세션키를 교환하지만, 서버는 세션키를 생성하기 위해서는 그룹 내에 있는 모든 서버와 비밀 복원 과정을 거처야만 하는 새로운 방식이다. 사용자와 키분배를 수행하는 특정한 서버는 그룹 내에 있는 다른 서버와 비밀 복원 과정을 거처야만 키분배 과정을 수행할 수 있으므로, 특정 서버의 패스워드 파일이 노출되어 패스워드 검증자가 공격자에게 노출되더라도 비밀 분산 과정을 수행하지 못하는 공격자는 패스워드 추측에 필요한 정보를 획득할 수 없다.

• 보일러설비
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• s.8
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• pp.80-81
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• 1989

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.46 no.11
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• pp.934-943
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• 2018

In these days, demand for agile spacecraft is gradually increasing, due to the fact that agile spacecraft can improve mission capability. In this paper, an attitude control logic based on reaction wheels that can enhance agility of spacecraft is proposed. Three methods are suggested, and all three or part of them can be integrated to the existing attitude control system. First, a feedforward/feedback controller is introduced, and its pros and cons are provided, compared to the conventional feedback controller. Second, an attitude command generation method that fully utilizes torque/momentum capacities of reaction wheels is proposed. Third, a torque (current) control mode for internal wheel control is introduced. Numerical results verify that the settling time can be significantly reduced by employing the feedforward/feedback control method, especially for large angle maneuver.

• Information Systems Review
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• v.23 no.4
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• pp.183-198
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• 2021

Due to the Covid-19 pandemic, the home-training app market is growing rapidly and numerous apps are entering the market. It is becoming more difficult for an app to secure the profitability. In this study, by analyzing actual user data of a reward-based home-training app, we propose a model that predicts cash-cow users of the app. Cash-cow users are the users who watch in-stream ads to watch training videos although they cannot earn any rewards by doing so. Thus, these users make profits for the app yet do not incur any costs. The results of this study show that the users who irregularly watch training videos are more likely to be cash-cow users than the users who regularly watch training videos. This result suggests that, paradoxically, for sustainable profitability, home-training apps may need to find a way to retain the users who watch training videos irregularly so that they can be satisfied with the service and continue use the apps.

• Journal of KIISE:Computing Practices and Letters
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• v.15 no.7
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• pp.500-504
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• 2009

A reliability of software is a type of nonfunctional requirement. Traditionally, a validation of the reliability is processed at the integration phase in software development life cycle. However, it increases the cost and the risk for the development. In this paper, we propose reliability analysis method based on mathematical analytic model at the architecture design phase of the development process as follows. First, we propose the software modeling methodology for reliability analysis using Hierarchical combined Queueing Petri Nets(HQPN). Second, we derive the Markov Reward Model from the HQPN based model. We apply our approach to the video conference system to verify the usefulness of our approach. Our approach supports quantitative evaluation of the reliability.

• Journal of Fashion Business
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• v.26 no.3
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• pp.155-167
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• 2022

Hanbok, a traditional Korean clothing, became a hip culture for young people in the late 2010s. As hanbok brands for young people appeared and distribution channels changed for them, hanbok appeared on the crowdfunding platform. This study summarized characteristics of hanbok provided as rewards by funding projects in Wadiz, the largest crowdfunding platform in Korea. Results of this study are as follows. First, since the first successful crowdfunding in 2015, it has shown rapidly growth. Second, as a result of examining the name of reward hanbok, 167 reward hanbok appeared. They could be divided into three periods: women's hanbok, unisex hanbok and trendy hanbok period. Third, looking at characteristics of reward hanbok from each period, feminine Chollic onepiece during the women's Hanbok period adopted the feminine interpretation of the original men's Hanbok. Characteristics of reward hanbok during the Unisex Hanbok period are in the direction of the closure. By adopting the direction of the closure of hanbok that both men and women can use, unisex hanbok is appeared. Finally, reward hanbok during the trendy hanbok period reflected trends such as genderless and hip. Hanbok reflected various trends from home culture to COVID-19 that occurred around the world at that time.

• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.891-897
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• 2022

In big data analysis, raw text data mostly exists in various unstructured data forms, so it becomes a structured data form that can be analyzed only after undergoing heuristic pre-processing and computer post-processing cleansing. Therefore, in this study, unnecessary elements are purified through pre-processing of the collected raw data in order to apply the wordcloud of R program, which is one of the text data analysis techniques, and stopwords are removed in the post-processing process. Then, a case study of wordcloud analysis was conducted, which calculates the frequency of occurrence of words and expresses words with high frequency as key issues. In this study, to improve the problems of the "nested stopword source code" method, which is the existing stopword processing method, using the word cloud technique of R, we propose the use of "general stopword corpus" and "user-defined stopword corpus" and conduct case analysis. The advantages and disadvantages of the proposed "unstructured data cleansing process model" are comparatively verified and presented, and the practical application of word cloud visualization analysis using the "proposed external corpus cleansing technique" is presented.