• Proceedings of the Korea Information Processing Society Conference
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• 2005.11a
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• pp.827-830
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• 2005

e-learning 교육은 오프라인 교육의 다양한 제한적 문제를 해결할 수 있는 대안으로 많은 발전을 이루어 오고 있다. e-learning 교육의 표준화 작업으로 앞으로 더 많은 발전을 가져올 것이고 ITS (Intelligent Tutoring System)의 구현을 앞당길 것이다. 그러나 모든 교육이 능동적으로 문제를 해결해 나갈 수 있는 능력을 키우는 것 이라는 교육학적 입장에서 본 논문은 학습자의 개별적 특성을 수용하는 개별화된 학습방향을 선택할 수 있는 Self-learning 서비스를 제안한다. 이 서비스는 교수설계자에 의해 지정된 시퀀싱을 학습자가 재정렬 할 수 있다. 이 시스템은 SCORM 기반의 LMS 에 추가되는 서비스이다.

• Journal of Information Technology Services
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• v.11 no.3
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• pp.17-38
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• 2012

Social network service(SNS), provided by social network sites such as Facebook, Twitter and Cyworld is rapidly growing in online business. Furthermore, many companies have growing interests in finding effective ways to use SNSs for their innovations, marketing and advertisement. In fact, firms have recognized the utility value of the SNS for their business. In this aspect, this study attempts to identify key factors influencing the intention to continuous use of SNSs. Based on the UTAUT(the Unified Theory of Acceptance and Usage of Technology)model, this study proposes the research model, including the effects of social network service characteristics(social relationship support, information sharing, image expression) and individual characteristics(self-disclosure, extroversion, familiarity) on performance expectancy as well as the moderating effect of perceived information security among UTAUT variables. The 412T sets of data collected in a survey were tested against the modeling using SEM using SmartPLS. Results indicated that social network service and individual characteristics had significant effect on performance expectancy with exception of self-disclosure. In addition, the moderating effect of perceived information security had significant effect. The results had important implications for firms providing SNSs hoping to develop a successful business model.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.2
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• pp.11-17
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• 2018

IDS/IPS and networked computer systems are playing an increasingly important role in our society. They have been the targets of a malicious attacks that actually turn into intrusions. That is why computer security has become an important concern for network administrators. Recently, various Detection/Prevention System schemes have been proposed based on various technologies. However, the techniques, which have been applied in many systems is useful for existing intrusion patterns on standard-only systems. Therefore, probe detection of private clouds using BlockChain has become a major security protection technology to detection potential attacks. In addition, BlockChain and Probe detection need to take into account the relationship between the various factors. We should develop a new probe detection technology that uses BlockChain to fine new pattern detection probes in cloud service security in the end. In this paper, we propose a probe detection using Fuzzy Cognitive Map(FCM) and Self Adaptive Module(SAM) based on service security using BlockChain technology.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.66-74
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• 2021

With the development of the Internet, user authentication technology that proves me online is improving. Existing ID methods pose a threat of personal information leakage if the service provider manages personal information and security is weak, and the information subject is to the service provider. In this study, as online identification technology develops, we propose a DID-based self-authentication model to prevent the threat of leakage of personal information from a centralized format and strengthen sovereignty. The proposed model allows users to directly manage personal information and strengthen their sovereignty over information topics through VC issued by the issuing agency. As a research method, a self-authentication model that guarantees security and integrity is presented using a decentralized identifier method based on distributed ledger technology, and the security of the attack method is analyzed. Because it authenticates through DID Auth using public key encryption algorithms, it is safe from sniffing, man in the middle attack, and the proposed model can replace real identity card.

• The Journal of Society for e-Business Studies
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• v.10 no.1
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• pp.1-19
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• 2005

Recently, the mobile game industry is explosively extending and advancing. Nevertheless, although research on IT acceptance has been actively performed, the effective studies have not been accomplished in the acceptance of mobile game. This study, therefore, explores the factors affecting customer's intention to use mobile game. Five external factors(service quality, social influence, instant connectivity, self-innovativeness, and self-efficacy) are proposed to test the several hypotheses. The factors are classified to three dimensions - system, individual, and society. The research model is based on various studies on TAM(Technology Acceptance Model) and mobile service. A survey of mobile game users collected 270 cases, and we used 261 cases for statistical analyses. The analyses show that service quality, instant connectivity, self-innovativeness, and self-efficacy have an indirect effect on the intention to use through perceived usefulness and perceived ease of use. We provide the important factors that should be focused on when an enterprise develops and promotes new mobile game products.

• The Journal of the Convergence on Culture Technology
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• v.9 no.6
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• pp.57-66
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• 2023

Purpose: This study is a descriptive research study to identifying the factors affecting the continuity of educational service of pre-service teachers. Methods: The data collection period was from March 1 to 30, 2023. Self-efficacy, pro-sociality, work preference, and continuity of educational service were investigated for 90 pre-service teachers at two universities in G Metropolitan City. For the analysis of the collected data, IBM SPSS/Win 26.0 was used, and descriptive statistics, ANOVA, Pearson correlation, and multiple regression analysis were performed. RESULTS: As a result of the study, it was found that there was a difference in educational service continuity according to age and major (p<.05). As a result of examining the correlations among work preference, self-efficacy, pro-sociality, and educational service continuity, all four variables had positive correlations (p<.05). As a result of multiple regression analysis to find out which variables had an effect on the continuity of educational service, extrinsic motivation and pro-sociality showed significant results, and the explanatory power of the two variables to explain the continuity of educational service was 57.4%. Discussion: Based on the results of this study, it is thought that it is necessary to develop and apply various programs that can strengthen extrinsic motivation and pro-sociality in order to increase the continuity of educational service.

• Journal of Information Technology Services
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• v.18 no.2
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• pp.17-35
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• 2019

The objective of this study is to extract affecting factors on game satisfaction of a mobile game through the two mediated variables, self-fulfillment and flow. To apply mobile environment changed into the research model of a mobile game, we classify independent factors into three types such as system characteristics, cognitive characteristics, and individual characteristics. The previous studies for using mobile game have been based on intrinsic motivation, such as flow, as a mediated factor. However, the flow variable has some limitations in explaining user satisfaction aspects of mobile game, and the self-fulfillment variable is popularly used as an important mediated factor in the field of sports science. Because users of mobile game often attain their goals as sports event, we utilize self-fulfillment as well as flow as mediated variables. We developed a research model that includes independent factors, mediated variables of self-fulfillment and flow, and a dependent variable of game satisfaction. The data were collected from 438 users of mobile game and were used for analysis. Based on the survey results, we found the followings: (1) Immediate connectivity, enjoyment, relationship, early adopter tendency, and competitiveness affect self-fulfillment, and self-fulfillment affects the flow. (2) Enjoyment and competitiveness affect self-fulfillment, flow, and game satisfaction simultaneously.

• Structural Engineering and Mechanics
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• v.67 no.2
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• pp.155-163
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• 2018

The Early-age construction loading and changing properties of concrete, especially in the multi-story structures can affect the slab deflection, significantly. Based on previously conducted experiment on eight simply-supported one-way slabs this paper investigates the effect of concrete type, fiber type and content, loading value, cracking moment, ultimate moment and applied moment on the instantaneous deflection of Self-Compacting Concrete (SCC) slabs. Two distinct loading levels equal to 30% and 40% of the ultimate capacity of the slab section were applied on the slabs at the age of 14 days. A wide range of the existing models of the effective moment of inertia which are mainly developed for conventional concrete elements, were investigated. Comparison of the experimental deflection values with predictions of the existing models shows considerable differences between the recorded and estimated instantaneous deflection of SCC slabs. Calculated elastic deflection of slabs at the ages of 14 and 28 days were also compared with the experimental deflection of slabs. Based on sensitivity analysis of the effective parameters, a new model is proposed and verified to predict the effective moment of inertia in SCC slabs with and without fiber reinforcing under two different loading levels at the age of 14 days.

• Journal of the Korea Society of Computer and Information
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• v.26 no.7
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• pp.119-126
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• 2021

Due to the prolonged COVID-19, distance lectures are expected to continue for a considerable period of time. Research on factors affecting distance lecture quality and learner satisfaction is essential. The purpose of this study is to examine the relationship between distance lecture quality (system quality, information quality, service quality, interaction quality), self-efficacy, and learner satisfaction, and to suggest theoretical and practical implications for the effective operation of distance lectures. A survey was conducted for university students taking distance lectures, and 197 questionnaires were used for empirical analysis. The collected data were analyzed by SPSS 25.0 and AMOS 21.0. As a result; First, distance lecture quality (system quality, information quality, service quality, interaction quality) was found to have a positive effect on self-efficacy. Second, distance lecture quality (system quality, information quality, service quality, interaction quality) was found to have a positive effect on learner satisfaction. Third, self-efficacy was found to have a positive effect on learner satisfaction. Based on the analysis results, the implications and limitations of this study are presented.

• Journal of Communications and Networks
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• v.13 no.3
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• pp.286-297
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• 2011

A novel converged optical network unit (ONU)-base station (BS) architecture has been contemplated for next-generation optical-wireless networks. It has been demonstrated through high quality studies that data traffic carried by both wired and wireless networks exhibit self-similar and long range dependent characteristics; attributes that classical teletraffic theory based on simplistic Poisson models fail to capture. Therefore, in order to apprehend the proposed converged architecture and to reinforce the provisioning of tightly bound quality of service (QoS) parameters to end-users, we substantiate the analysis of the QoS behavior of the ONU-BS under self-similar and long range dependent traffic conditions using custom queuing which is a common queuing discipline. This paper extends our previous work on priority queuing and brings novelty in terms of presenting performance analysis of the converged ONU-BS under realistic traffic load conditions. Further, the presented analysis can be used as a network planning and optimization tool to select the most robust and appropriate queuing discipline for the ONU-BS relevant to the QoS requirements of different applications.