• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.457-458
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• 2020

신대영(2018, 2019)의 연구에서 RPG장르를 기준으로 T-test를 활용하여 두 게임간의 평균 이벤트 기간의 차이를 조사, 분석한 결과, 신대영(2018, 2019)의 두 연구 모두 두게임간의 평균 이벤트 기간은 차이가 없음을 알 수 있다. 이에 본 연구에서는 전체이용가, 12세이용가 그리고 청소년이용불가 게임을 선정하여 One-way ANOVA를 이용하여 세 게임간의 평균 차이를 연구하였다. 분산분석 결과, 유의수준 P값이 0.657(P>0.05)로 세 게임간의 이벤트 실시와 관련하여 평균의 차이가 없는 것으로 나타났다.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.79-100
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• 2018

Twitter is one of the most popular social platforms for online users to share trendy information and views on any event. Twitter reports an event faster than any other medium and contains enormous information and views regarding an event. Consequently, Twitter topic summarization is one of the most convenient ways to get instant gist of any event. However, the information shared on Twitter is often full of nonstandard abbreviations, acronyms, out of vocabulary (OOV) words and with grammatical mistakes which create challenges to find reliable and useful information related to any event. Undoubtedly, Twitter event summarization is a challenging task where traditional text summarization methods do not work well. In last decade, various research works introduced different approaches for automatic Twitter topic summarization. The main aim of this survey work is to make a broad overview of promising summarization approaches on a Twitter topic. We also focus on automatic evaluation of summarization techniques by surveying recent evaluation methodologies. At the end of the survey, we emphasize on both current and future research challenges in this domain through a level of depth analysis of the most recent summarization approaches.

• Journal of the Korea Society of Computer and Information
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• v.16 no.11
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• pp.77-83
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• 2011

With the development of online shopping and the rapid growth of IT technology, among various forms of online shopping the intense competition also more deepen. So in online shopping and offline shopping can get differentiation characteristics of competitiveness, so our marketing target is the couples and planning to couples' activity is necessary. In this research, it is planning and implement an web site to design and implement sales strategies for the young people. For this, we analysis based on the existing commercial site's event planning of couples, design and suggest strategy for increasing sales, construct a web site with couples' birthday marketing strategy and various commemorative activities and customer visit web sites with activities more prominent as the goal, and with marketing planning and information configuration as the centre. This is expected to be through to increase effect of the part of the object by customer group activities to improve sales.

• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.101-107
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• 2012

Objective: The aim of this study is to investigate service design cases by online service companies and suggests framework to understand service design of them. Background: Recently, exploratory service design cases by online service companies such as Google, Apple, and NHN has been developed. Service design and online service experience design has been booming among user experience professionals but these two areas are not clearly defined. It is interesting to study the definition and key factors of service design and online service experience design. Moreover, investigating service design cases by online service companies is needed. Method: Due to diversification of service design cases by online service companies, this study has reviewed online resources and literatures about top 5 online service companies in USA and Korea. Furthermore, this study used expert interview who worked for service design at NHN. To understand the attributes of service design cases, this study developed 3 types of service design classifications scheme such as service design as extension of online service, space design and event service design. Finally, this study suggested a new framework for service design cases. Results: This study investigated service design cases by online service companies and suggests key issues and frameworks to uncover service design for online service. Conclusion: Service design cases for online service was analyzed by $2^*2$ matrix(extension, $enrichment^*product$, service) to explain characteristics and attributes. NHN's Knowledge-iN bookshelf at NHN library1 is a unique form of service design as a tool of enrichment of online experience. Application: The results of this study might help to understand service design cases and plan new service design for online service companies with structured framework.

• Asian Journal for Public Opinion Research
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• v.8 no.4
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• pp.432-452
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• 2020

This study explored the representation of risks from the controversial Lynas rare earth refining as a risk event by five Malaysian online mainstream and alternative newspapers using qualitative content analysis. The aim is to uncover the role of the news media in the social amplification and attenuation of risks within the literature evidence as those roles are still uncertain. Content analysis is used to explore the online newspapers' roles guided by the Social Amplification of Risk Framework (SARF). The representations typified environmental, financial, health, occupational, property, radioactive, and technological risks and established connections between four risk types (environmental, financial, radioactive, and health risks). Radioactive risk was repeatedly associated with other risks, suggesting that the volume and information flow focused on radioactive risk as a key ingredient for amplification. This connection shows that the nature of the relationship between risks is multidimensional, contradicting the unidirectional type found in previous studies. Alternative online newspapers amplified and attenuated more risks, thus, providing more diverse coverage than mainstream sources. Consequently, this study provides evidence that risk representation from rare earth refining in a digital news environment is multidimensional and intensified or weakened in a multi-layered pattern. The stakeholders are engaged in a contestation by positioning their narratives to oppose or support their interests, which are amplified or attenuated by the online newspapers as social amplification stations.

• Journal of Korean Library and Information Science Society
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• v.51 no.4
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• pp.185-210
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• 2020

The library faced an unexpected crisis of COVID-19, and as a countermeasure strategy, non-face-to-face online service has been reinforced. Therefore, this study attempted to present a plan to overcome the challenges arising from rapidly changing external environment and current crisis. To this end, data search, electronic library, library service, cultural event and open space management status of 288 public libraries serviced as an integrated site were investigated. Based on this, the meaning of online services in the post-COVID-19 era and the implication of it were examined. As a result, first, the increase in the use rate of online data search services with the spread of non-face-to-face culture, second, the expansion of the services of the electronic library, third, the diversification of non-face-to-face, online services, fourth, expansion of online cultural event services, fifth, the diversification of open space services were proposed, sixth, Introduced an artificial intelligence system for unattended loan return based on access and the Seventh, expansion of experiential cultural support services and educational contents through VR, AR and MR. It is deemed necessary for the research on the future direction of the library's non-face-to-face services to be conducted by investigating the current status of online services in various types of libraries and the types and case studies of library services in the era of COVID-19.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.114-121
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• 2010

Based on a complex event processing technique, an abuse pattern monitoring method is developed to provide an real-time detection. CEP is a technique to find complex event pattern in a massive information system. In this study, the events occurred by game-play are observed to be against the rules using CEP. User abuse patterns are pre-registered in CEP engine. And CEP engine monitors user abuse after aggregating the game data transferred by game logging server.

• Proceedings of the Korea Society for Simulation Conference
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• 1999.04a
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• pp.127-132
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• 1999

본 연구는 제조시스템 설계를 자동화하면서 설계된 제조 시스템을 평가하기 위해서 시뮬레이션 연구를 수행하였다. 제조 시스템 설계를 자동화하는 과정에서 시뮬레이션에 필요한 많은 부산물이 발생하였으며 이를 시뮬레이션에 이용하기 위해서 시뮬레이션 구성 요소 모델링 모듈과 시뮬레이션 모델 생성 모듈을 개발하였으며, 이렇게 생성된 시뮬레이션 Data를 시뮬레이션 하기 위해서 Event기반의 simulator 모듈을 개발하였다. 이러한 시뮬레이터는 제조 시스템 자동설계 프로그램과 연동하여 제조 시스템 평가의 중요한 부분을 차지하게 될 것이다.

• Journal of the Korean Data and Information Science Society
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• v.22 no.2
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• pp.197-206
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• 2011

The ability to detect online abnormal events in signals is essential in many real-world signal processing applications. In order to detect abnormal events, previously known algorithms require an explicit signal statistical model, and interpret abnormal events as statistical model abrupt changes. In general, maximum likelihood and Bayesian estimation theory to estimate well as detection methods have been used. However, the above-mentioned methods for robust and tractable model, it is not easy to estimate. More freedom to estimate how the model is needed. In this paper, we investigate a machine learning, descriptor-based approach that does not require a explicit descriptors statistical model, based on support vector machines are known to be robust statistical models and a sequential optimal algorithm online support vector machine is introduced.

• Journal of Distribution Science
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• v.20 no.8
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• pp.123-133
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• 2022

Purpose: As moment-based marketing messages (i.e., messages related to current moments or event), companies put significant investments to distribute TV advertising related to external moments in a retail environment. While the literature offers strong support for the value of distributions of context-based messaging to advertisers, less attention has been given to how to design those messages to effectively communicate across channels. This research adds a new dimension of analysis to the study of advertising context and its cross-channel effects on online consumer behavior. Research Design, Data and Methodology: A system-of-equations Tobit regression model was adopted using data collected from an advertising agency that consists of 1,223 TV ads aired during the Rio Olympics and NCAA, tagging from consumers, and a text analysis. Results: First, TV ads with high centrality of context lead to lower online search behavior and higher online social actions. Second, how brands can design messages more effectively was explored by using product information as a moderator that could improve the impact of context-based TV advertisements. Conclusions: Given that expenses in traditional channels are still one of the biggest channel management decisions, it is critical to understand how consumer engagement varies by design of context-based TV advertising.