• 전기학회논문지
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• 제62권3호
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• pp.293-299
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• 2013

Power system technologies in the area of smart grid are being converged with communication system technologies or information technologies(IT). This interdisciplinary action affects on two parts vigorously so that IT has become a essential part of power industry. But terminologies of two parts are confused and it is necessary that these are standardized to develop the industry. The interpretation works with scientific and technological standard of the smart grid terminologies which are IEC TC 57 glossary and non-glossary terminologies are introduced. Based on the interpretation works of the smart grid terminologies, an online terminology information system for the standardization of smart grid terminologies is proposed. The system provides the capability of collection and delivery of academic society opinions for the selected and interpreted terminologies.

• International Journal of Internet, Broadcasting and Communication
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• 제13권4호
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• pp.22-29
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• 2021

This study evaluates the accuracy of corrective feedback from Grammarly, an online grammar checker, on essays written by cyber university learners in terms of detected errors, suggested replacement forms, and false alarms.The results indicate that Grammarly has a high overall error detection rate of over 65%, being particularly strong at catching errors related to articles and prepositions. In addition, on the detected errors, Grammarly mostly provide accurate replacement forms and very rarely make false alarms. These findings suggest that Grammarly has high potential as a useful educational tool to complement the drawbacks of teacher feedback and to help learnersimprove grammatical accuracy in their written work. However, it is still premature to conclude that Grammarly can completely replace teacher feedback because it has the possibility (approximately 35%) of failing to detect errors and the limitationsin detecting errors in certain categories. Since the feedback from Grammarly is not entirely reliable, caution should be taken for successful integration of Grammarly in English writing classes. Teachers should make judicious decisions on when and how to use Grammarly, based on a keen awareness of Grammarly's strengths and limitations.

• 한국전자통신학회논문지
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• 제15권6호
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• pp.1187-1194
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• 2020

본 논문은 온라인 퀴즈 시스템에서 핵심인 문제은행 구축 자동화를 위한 Deep Quiz Cropping 기법을 제시했다. 이것은 문제지를 스캔한 그림 파일에서 개별문제에 대한 질의영역과 선다영역을 딥러닝 기반 검출기를 통해 검출하는 것과, 문제생성을 위해 질의영역과 선다영역을 짝지우고 영역오류를 수정하는 Box Coupling으로 이루어졌다. 문제지 및 시험지를 스캔한 영상파일에 Deep Quiz Coupling 기법을 적용한 다수의 실험에서 질의영역과 선다영역을 검출하는데 있어서 성공적인 결과를 도출했다.

• 스마트미디어저널
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• 제13권6호
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• pp.62-71
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• 2024

This study applies topic modeling to uncover user experience and app issues expressed in users' online reviews of a fan community platform, Weverse on Google Play Store. It allows us to identify the features which need to be improved to enhance user experience or need to be maintained and leveraged to attract more users. Therefore, we collect 88,068 first-level English online reviews of Weverse on Google Play Store with Google-Play-Scraper tool. After the initial preprocessing step, a dataset of 31,861 online reviews is analyzed using Latent Dirichlet Allocation (LDA) topic modeling with Gensim library in Python. There are 5 topics explored in this study which highlight significant issues such as network connection error, delayed notification, and incorrect translation. Besides, the result revealed the app's effectiveness in fostering not only interaction between fans and artists but also fans' mutual relationships. Consequently, the business can strengthen user engagement and loyalty by addressing the identified drawbacks and leveraging the platform for user communication.

• International Journal of Internet, Broadcasting and Communication
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• 제16권3호
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• pp.305-312
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• 2024

This field study explores how varying target amounts influence donation behavior using real-world data from the online fundraising platform GoFundMe. We analyzed donation data across four different target amounts and found significant differences in donation patterns. Lower target amounts were found to encourage higher individual donations, while excessively high targets were less effective. The data revealed that donors tend to be more responsive to campaigns with achievable goals, possibly due to a perceived higher impact of their contributions. Conversely, campaigns with unrealistically high targets often struggled to gain traction, suggesting a potential donor deterrent effect. We believe these findings provide practical insights for nonprofits on setting realistic and achievable target amounts to maximize donations. Our study underscores the importance of strategic target setting in enhancing fundraising outcomes. We conclude that this insight has significant implications for how non-profit organizations approach their fundraising strategies, potentially improving the effectiveness of online charitable campaigns.

• 한국콘텐츠학회논문지
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• 제8권6호
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• pp.89-97
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• 2008

인터넷 접속이 필수조건인 온라인 게임과는 달리 전용 게임기로 오프라인에서 게임을 즐기는 비디오 게임의 온라인 커뮤니티도 온라인 게임의 커뮤니티 못지않게 활성화되고 있다. 비디오 게임 플레이어들이 인터넷에 커뮤니티를 만들고 적극적으로 활용하고 있다는 것은 비디오 게임의 "게임 플레이(Game Play)"에 온라인 커뮤니티가 중요한 역할을 하고 있다는 것을 나타낸다. 본 연구에서는 온라인 커뮤니티가 비디오 게임의 "게임 플레이"에 미치는 영향을 분석하기 위하여 먼저 "게임 플레이"의 의미와 평가 항목에 대하여 알아보았다. 그리고 비디오 게임의 온라인 커뮤니티를 조사하여 어떤 용도로 활용되고 있고, 어떤 내용들로 구성되어 있는지 살펴보았다. 플레이어들의 온라인 커뮤니티 활동 내용을 "게임 플레이"의 평가 항목에 의하여 분석하고 그 결과를 바탕으로 온라인 게임 커뮤니티가 비디오 게임의 "게임 플레이"에 미치는 영향에 대하여 정리해 보았다.

• 공학교육연구
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• 제26권5호
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• pp.3-16
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• 2023

This study was to investigate the operation status and the students' perception for both theory-focused and practice-focused online class in engineering college that were implemented in responses to COVID-19. For this purpose of the study, the survey including the open-ended questions were conducted to the 147 students in college of engineering in 2021 at one of the universities located in the metropolitan area. The survey were analyzed by SPSS 26.0 and then findings were as follows. First, while the most students were satisfied with the operation of online classes that were implemented in response to COVID-19, many students were unsatisfied with the practice-focused online class. Also, there were some differences in the level of students' satisfaction for some factors of online class operation in terms of the students' background. Second, there were significant differences in some parts of students' satisfaction in terms of the background of students. specifically, males students were more satisfied with the supports of teaching assistant in online classes than female students and the junior and senior levels of students are more satisfied with the teaching strategies of online classes than freshman and sophomore year students. Third, the level of students' satisfaction was different in terms of the types of online platforms as well as the methods of communication between students and professors. Finally, even though the students in the college of engineering understand the benefits in the online classes, they indicated the limitations and difficulties for participating in practice-focused online class and demanded the improvement of the operation for the online lab classes. The further research needs to be conducted to investigate the status of operation for online lab and practice classes in college of engineering.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2004년도 가을 학술발표논문집 Vol.31 No.2 (2)
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• pp.700-702
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• 2004

A local-step optimization method is proposed to supplement the global-step optimization methods which adopt online update mode of internal weights and error energy as stop criterion in learning of multilayer perceptrons (MLPs). This optimization method is applied to the standard online error backpropagation(EBP) and the performance is evaluated for a speaker verification system.

• 한국의류학회지
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• 제31권3호
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• pp.410-419
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• 2007

The purposes of this study were to segment consumers by on-line word of month and to find the differences among the segmented groups in regard to fashion involvement, internet perceived risk, and internet purchase behavior. The subjects of this study were female consumers who were members of online cafe in Korea. The data were collected during October, 2004. The respondents returned the questionnaires through internet and 480 questionnaires were finally used in the data analysis. The statistical analyses used for the study were factor analysis, cluster analysis, t-test, and $X^2-test$. The results showed that word-of·mouth communication on internet(e-WOM) is composed of two factors, word-of-mouth transmission and word-of-mouth acceptance. These two factors were put under cluster analysis and were classified into two groups of the word-of·mouth communication: WOM group and non-WOM group. T-test showed that word-of-mouth communication groups were significantly different in regard to fashion involvement, internet perceived risk, and internet purchase behavior. For example, WOM group was more uncertain of their clothing choices, put more weight on the internal factors of clothing selection, and was a frequent purchaser of internet fashion products. Internet fashion business needs to implement the proper marketing strategies based on the results of the study.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권6호
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• pp.3023-3036
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• 2019

This study investigated the television (TV) content viewers' behavior influenced by online communication at the choice of new TV series on a terrestrial streaming platform. For exploring the impact of the anchoring effect on the TV content consumption, this study analyzed the correlation between the first episode's TV ratings and the data of online comments or reactions. These data were potential audiences' communication, which were generated on the online article three weeks before the first broadcasting began. To avoid the crucial influence by external factors, such as season and social issue, the test was done with eight (8) TV series which have same genre (drama), similar core audience targeting (20-49's women), similar broadcasting period (Jun-Oct 2016), same scheduling (10.00 to 11.00 pm, weekdays) and aired on terrestrial TV platforms. This research found that not only the amount of comments and reactions, but also the attitude about the comments created before broadcasting, positively influence the audiences' decision-making behavior for new TV content choices. This investigation contributes to the literature on media economics and management by exploring the media content users' consuming behavior with behavioral economics perspectives (anchoring effect) and making a first step for finding a new effect on the media content consumption.