• Management & Information Systems Review
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• v.32 no.2
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• pp.193-212
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• 2013

Despite widespread availability of communication media supported ICT(Information & Communication Technology), the influence factors and its role to the communication interaction is not clear. The main objective of this research is to examine the factors that affect to the efficient and effective means of communication interaction. The investigation focuses on the effect of four different factors such as ICT communication media characteristics, personal innovativeness, and ICT media attitude. The hypotheses have been tested with the survey of 159 smart phone users. The research summarized in this paper decomposes the influence of the characteristics of ICT media, IT personal innovativeness, and the attitude of ICT usage to the efficient and effective communication interaction.

• Proceedings of the Korean Society of Computer Information Conference
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• 2011.06a
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• pp.257-259
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• 2011

본 연구는 웹기반 신용교육에서 학습자의 몰입과 학습효과간의 관계를 분석하여 이를 기반으로 프로그램의 기획, 설계에 있어 시사점을 제공하기 위한 연구이다. 기존 연구 결과에 기초하여 웹기반 신용교육에서 몰입에 영향을 미치는 영향요인들을 학습자의 자기효능감, 상호작용성, 프로그램 유용성으로 정리하고, 몰입수준, 학습효과간에 어떠한 인과적 관계가 있는지 규명하였다. 분석결과 첫째, 상호작용성과 프로그램 유용성이 몰입수준, 학업만족도, 학습전이도 등과 상관관계가 높은 것으로 나타났다. 둘째, 몰입 영향요인으로 정리된 자기효능감, 상호작용성, 프로그램 유용성은 모두 몰입수준에 유의한 영향을 주는 것으로 나타났다. 셋째, 몰입 영향요인 중 상호작용성과 프로그램 유용성은 몰입수준 촉진을 매개로 하여 학습효과에 긍정적인 영향을 미치는 것으로 밝혀졌다.

• Proceedings of the Korean Information Science Society Conference
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• 1999.10c
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• pp.203-205
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• 1999

분산 가상환경(DVE)이 대규모가 되어감에 따라, 고려해야 할 중요한 사항중의 하나는 확장성이다. DVE에 확장성을 지원하기 위한 여러 접근 방법 중의 하나는 region 분할 방법이다. 대부분의 DVE 시스템에서는 region은 분리되어 있으며 이웃한 region의 사용자들 사이의 상호작용이 지원된다. 하지만 사용자들은 항상 자신이 관심을 가지고 있는 이웃 region들 안의 모든 사용자 상태 정보를 알아야 한다. 이것은 region간 상호작용을 하는 사용자들에게 통신에 따른 부하가 많이 걸리게 되며 따라서 시스템 확장성이 떨어지게 된다. 본 연구에서는 region 관리자가 현재 region안의 사용자들에 대한 관심도가 높은 이웃 region안의 사용자들의 일부만 선택한다. 이를 통해 region안의 사용자들은 이웃 region으로부터 모든 갱신 메시지를 받지 않아도 된다. 본 연구를 통해 DVE 시스템은 확장성 있는 region안에서의 상호작용뿐만 아니라 region간 상호작용을 지원할 수 있다.

• Proceedings of the Korean Information Science Society Conference
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• 2004.04b
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• pp.256-258
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• 2004

단백질간의 상호작용에 대한 연구는 생물학적 프로세스를 이해하기 위해 중요한 부분이다. 이러한 단백질간의 상호작용에 대한 정보는 주로 생명과학 관련 연구논문에 존재하지만 컴퓨터로 자동으로 처리하여 상호작용에 관안 정보를 추출할 수 있기 위해서는 텍스트 마이닝 기술이 적용되어야 한다 바이오 텍스트 마이닝에서 대두되고 있는 중요한 쟁점은 대용량의 연구논문에서 필요한 정보를 어떻게 효율적으로 정확하게 추출할 것인가에 대한 내용이다. 또한, 관심이 있는 단백질의 종류나 관련성을 표시하는 문장내 패턴의 다양성을 수용하기 위하여 개발하는 시스템의 확장성을 높이는 것도 소프트웨어 공학적인 측면에서 중요한 이슈이다 이 논문의 목적은 생물학적 내용을 담고 있는 연구논문으로부터 단백질간의 상호작용을 추출하는 확장성을 가진 텍스트 마이닝 기법을 제안하는데 있다.

• Cartoon and Animation Studies
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• s.38
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• pp.259-286
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• 2015

This study investigates the effect of the motivation to use webtoon and the convenience of use(the character of the webtoon service) on the interactivity, and then examines how the interactivity affect the webtoon user's satisfaction and willingness to pay. Using factor analysis, this study found two motivations to use webtoon including 'information acquisition', 'entertainment and easiness of access'. These motivations have an influence on the interaction of the content and Webtoon's user and of Webtoon's users. The motivation of the entertainment and easiness of access is more influential to user's interactivity. The convenience of use is divided two types that are the convenience of the searching information and service. The convenience of webtoon service has positive influence of two types of interaction. The last results find that webtoon user's satisfaction is influenced by gender, the convenience of the searching information and using service. The satisfaction of the female user is higher than man. The more convenience of use is, the more satisfaction of users will be. Willingness to pay is influenced by age, the convenience of webtoon service, and the user's interactivity. The older users are, the more convenience of webtoon service is, and the more the user's interactivity, the higher willing to pay will get. The implications of the findings are discussed in terms of the way to change the profit structure of webtoon service and suggest to increase the interactivity in webtoon service.

• KIPS Transactions on Software and Data Engineering
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• v.6 no.9
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• pp.419-428
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• 2017

In an embedded system, modules exchange data by interacting among themselves. Exchanging erroneous resource data among modules may lead to execution errors. The interacting resources produce dependencies between the two modules where any change of the resources by one module affects the functionality of another module. Several investigations of the embedded systems show that interaction faults between the modules are one of the major cause of critical software failure. Therefore, interaction testing is an essential phase for reducing the interaction faults and minimizing the risk. The direct and indirect interactions between the modules generate interaction faults. The direct interaction is the explicit call relation between the modules, and the indirect interaction is the remaining relation that is made underneath the interface that possesses data dependence relationship with resources. In this paper, we investigate the errors that are based on the indirect interaction between modules and introduce a new test criterion for identifying the errors that are undetectable by existing approaches at the integration level. We propose a novel approach for generating the interaction model using the indirect interaction pattern and design test criteria that are based on different interaction errors to generate test cases. Finally, we use the fault injection technique to evaluate the feasibility and effectiveness of our approach.

• Journal of KIISE:Computing Practices and Letters
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• v.10 no.4
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• pp.299-308
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• 2004

In this paper, we propose a probabilistic framework to predict the interaction probability of proteins. The notion of domain combination and domain combination pair is newly introduced and the prediction model in the framework takes domain combination pair as a basic unit of protein interactions to overcome the limitations of the conventional domain pair based prediction systems. The framework largely consists of prediction preparation and service stages. In the prediction preparation stage, two appearance probability matrices, which hold information on appearance frequencies of domain combination pairs in the interacting and non-interacting sets of protein pairs, are constructed. Based on the appearance probability matrix, a probability equation is devised. The equation maps a protein pair to a real number in the range of 0 to 1. Two distributions of interacting and non-interacting set of protein pairs are obtained using the equation. In the prediction service stage, the interaction probability of a Protein pair is predicted using the distributions and the equation. The validity of the prediction model is evaluated for the interacting set of protein pairs in Yeast organism and artificially generated non-interacting set of protein pairs. When 80% of the set of interacting protein pairs in DIP database are used as teaming set of interacting protein pairs, very high sensitivity(86%) and specificity(56%) are achieved within our framework.

• Journal of the Korean Society of Hazard Mitigation
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• v.10 no.3
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• pp.31-38
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• 2010

In this study, it is suggested that it has to reliability-based design methodology with respect to bridge structure-rail longitudinal interaction and bridge structure-vehicle interaction. For the structural analysis, commercial package, ABAQUS, are used for a three-dimensional finite element analysis. The optimization process utilizes a well-known optimizer, ADS(Automated Design Synthesis). Optimization technique is utilized the ALM-BFGS method for global area search and Golden Section Method for 1-D search. In general, ALM-BFGS method don't need the 1-D search, and that algorithm converge a 0.1~0.2 of Push-Off factor. But in this study, value of Push-Off factor is used 90, therefore 1-D search should be needed for effective convergency. That algorithm contains the "heuristic decision method". As a result of optimum design of 2-main steel girder birdge with 5${\times}$(1@50m), design methodology suggested in this study was demonstrated more economic and efficient than existing design and LCC optimization not considering bridge-rail longitudinal interaction and bridge-vehicle interaction.

• Korean Journal of Childcare and Education
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• v.10 no.3
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• pp.47-68
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• 2014

The purpose of this study was to investigate how children's temperament and relationships with teachers affect their peer interaction. For this purpose, two surveys were conducted on mothers and teachers of 326 four- and five-year-old children attending four kindergartens in Gyeonggi Province. The data were analyzed by using PASW 18.0 to carry out hierarchical regression and post hocanalyses. The results showed that closeness to teachers moderated the effects of children's emotionality on their positive peer interaction. On the other hand, children's temperaments including emotionality and activity, and their relationship with teachers were directly influential on their negative peer interaction; no interaction effect was found between their temperament and relationships with teachers. It was concluded that the quality of teacher-child relationships could promote children's positive peer interaction while it could also reduce their negative interaction with peers. However, the temperament of children played limited roles in their negative peer interaction.

• Information Systems Review
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• v.10 no.3
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• pp.39-64
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• 2008

As digital convergence evolves, it is expected that the market of IP-based services like VoIP and IPTV will be expanded. In particular, IPTV market is expected to attract consumers' attention through various interactive services offering a variety of experiences to consumers. Interactivity sets apart old media from new one in terms of how to mediate effects of user satisfaction. The object of this study is to investigate (1) multi-dimensional Interactivities in an interactive medium based on IP and relationship among them, and (2) significant factors affecting cognitive absorption of interactive media users. This study aims to provide implications on how to develop strategies for IP-based media including e-learning system.