• 한국전자거래학회:학술대회논문집
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• 한국전자거래학회 1998년도 학술대회지 vol.2
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• pp.415-422
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• 1998

The international standard STEP for representation and exchange of product model data, and CORBA as a standard for distributed object computing environment are expected to play very important role in the future manufacturing environment. Platform independent network programming language Java is also becoming a standard environment for developing Internet/Intranet applications. Furthermore, the ObjectWeb environment supported by the combination of CORBA and Java technology provides very efficient and convenient way of developing network applications and user interfaces. In this research, we developed a framework for the real time sharing of STEP data and 3D conference in the ObjectWeb environment and tested our proposal by implementing prototype software which we call STEPShare.

• 한국정보통신학회논문지
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• 제18권12호
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• pp.2997-3004
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• 2014

기존의 온라인 상에서 제공되는 번역서비스의 경우 번역의 진행이 의뢰자와 번역참여자 외에 접근이 한정되어 폐쇄적으로 진행되며, 자동번역서비스의 경우 아직 번역문의 정확도와 완성도가 보장되지 않는 문제점을 안고 있다. 이러한 문제점을 해결하기 위해 본 연구에서는 의뢰자와 번역참여자 뿐만 아니라 불특정 다수의 참여자가 번역의 수정과 평가에 참여할 수 있도록 수익성 모델을 부여하여 결과적으로 집단지성을 갖게 되는 웹기반 번역서비스를 제안한다.

• 한국컴퓨터정보학회논문지
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• 제12권4호
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• pp.43-52
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• 2007

공개 웹 서비스의 수효가 증가하면 동일한 기능을 제공하는 웹 서비스가 여러 개 존재하게 될 것이다. 이들은 가격, 응답 시간, 가용성 등 다양한 QoS 특성들을 가지게 되는데, 주어진 QoS 제약을 만족하며 가장 적합한 서비스를 선택하는 것은 매우 중요한 작업이다. 본 논문에서는 비즈니스 프로세스의 병행 분기와 응답시간 제약을 중점적으로 고려하여 서비스의 선택 모형을 연구하였다. 다차원 다중선택 Knapsack 모형을 기본으로, 각 프로세스 실행 경로 별로 응답시간 제약조건을 갖는 방안과 전체 서비스 타입에 대하여 하나의 응답시간 제약조건을 갖는 방안, 그리고 특정 경로에 대해서만 응답시간 제약 조건을 적용하는 방안을 제시하고, 실험을 통하여 서비스 수, 병행 분기의 수 그리고 제약 조건 값의 크기 등의 변화에 따른 각 방안의 성능을 살펴보았다. 실험에 사용된 데이터를 기준으로 볼 때, 파레토 우세를 이용하여 후보 서비스 수를 줄이는 것은 매우 효과적이며, 중소규모의 복합 웹 서비스에서는 전체 서비스 타입에 대하여 하나의 응답시간 제약을 설정한 방안이 실행시간과 탐색 해의 최적 해 근접도 면에서 효율적인 것으로 분석되었다.

• Asia pacific journal of information systems
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• 제17권3호
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• pp.1-24
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• 2007

With the development of information technology (IT), various information systems (IS) such as Web-based systems and mobile systems have appeared utilizing different technologies. However, recent studies on IS use and user satisfaction rarely account for technological differences among IS and environmental characteristics where IS are intended to be used. The purpose of this research is to investigate the determinants of the use of Web-based ticketing systems for cultural activities and to empirically validate their relationships. Environmental psychology suggests that human beings respond to external stimuli from environments with their emotions, and their emotional states influence human actions, e.g., IS use in this research. Applying environmental psychology to the use of Web-based systems in the culture and entertainment industry, we propose that web site characteristics first influence a user's internal state of mind (i.e., flow) and then the flow state influences the IS use. Studies related to the state of flow collectively affirm the key role played by the flow construct in shaping individual attitudes and behaviors toward IS. Users' flow states are captured by their shopping enjoyment, perceived behavioral control, and the level of concentration on the IS use. Referring to social presence theory, we have included such web site characteristics as content quality, context of web site, and community quality. In our research model, a second order construct is utilized to represent web site quality, because flow theory suggests that holistic experiences with web-based systems (rather than individual characteristics of the web site) are important in explaining the IS use. Further, we have included trust as another important factor influencing the IS use since business transactions on the web encompass higher uncertainty comparing to offline transactions. In order to test our hypotheses, we have conducted an online survey which results in 1,141 valid responses in the final sample. The data were collected from respondents who have experiences in Internet ticketing systems. Although it was a convenient sample, the sample represents a wide variety of user demographics. Validity and reliability of the research instrument were tested and research hypotheses were examined using PLS Graph 3.0. The results indicate that web site characteristics significantly influence the level of user concentration, user's enjoyment in shopping, and perceived behavioral control. Further, the use of Internet ticketing systems is influenced by users' flow states and trust in the web channel. User satisfaction is turned out to be affected by the use of Internet ticketing systems. Unlike extant research on the relationship between web site characteristics and its use, our study has found that, in the culture and entertainment industry, the impact of web site characteristics on IS use is mediated by a user's flow state. This finding has a practical implication that web site design should include as many features that enhance shopping enjoyment and concentration. Other practical implications of these findings and future research implications are also discussed.

• 한국통신학회논문지
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• 제37C권11호
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• pp.1027-1035
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• 2012

클라우드 컴퓨팅의 편리성과 확장성을 기반으로 웹과 모바일의 기능을 결합한 스마트폰이 최근 큰 관심을 받고 있다. 그러나 현재 출시되고 있는 클라우드 서비스들은 대부분 모바일 단말과 서버간의 단순 데이터 동기화 기반 응용 서비스 수준에 그치고 있어 통신사들이 개발한 비즈니스 모델의 상호운용성에 문제가 있다. 본 논문에서는 클라우드 컴퓨팅의 편리성과 확장성을 유지하면서 스마트폰 간 서로 다른 비즈니스 모델을 사용하는 스마트폰의 사용자를 효율적으로 통합 관리할 수 있는 서비스 보안 인증 모델을 제안한다. 제안 모델은 현재 운영중인 클라우드 컴퓨팅 시스템에서 효과적으로 활용할 수 있도록 스마트폰 사용자의 신분확인 및 권한/접근제어 등을 연동하여 통합 커뮤니케이션 업무의 원활한 서비스가 유지될 수 있도록 스마트폰의 사용자 정보를 인증한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제8권6호
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• pp.2056-2069
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• 2014

In order to implement interactive and personalized Web services properly, it is necessary to understand the tangible and intangible responses of the users and to recognize their emotional states. Recently, some studies have attempted to build emotional state estimation models based on facial expressions. Most of these studies have applied multiple regression analysis (MRA), artificial neural network (ANN), and support vector regression (SVR) as the prediction algorithm, but the prediction accuracies have been relatively low. In order to improve the prediction performance of the emotion prediction model, we propose a novel SVR model that is optimized using a genetic algorithm (GA). Our proposed algorithm-GASVR-is designed to optimize the kernel parameters and the feature subsets of SVRs in order to predict the levels of two aspects-valence and arousal-of the emotions of the users. In order to validate the usefulness of GASVR, we collected a real-world data set of facial responses and emotional states via a survey. We applied GASVR and other algorithms including MRA, ANN, and conventional SVR to the data set. Finally, we found that GASVR outperformed all of the comparative algorithms in the prediction of the valence and arousal levels.

• 경영과정보연구
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• 제21권
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• pp.131-154
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• 2007

The purpose of this study is to understand a information technology acceptance model and to test empirically using field survey. In order to achieve this purpose, first of all, I examined literature reviews about the theory of reasoned action(TRA), the theory of planned behavior(TPB), and the theories of technology acceptance model(TAM). Based on literature reviews, I proposed a technology acceptance model and empirically verified it through using field survey. As a result of, this study was designed to predict and to explain the factors of affecting reuses of a website. The data that were surveyed 193 users of internet were analyzed with SPSS 12.0 and AMOS 4.0. The major results of this study as follows : First, the perceived complexity is influenced by the skill & experience and the quality of system. Second, the quality of system affects the perceived usefulness. Third, the perceived complexity affects the perceived usefulness and the perceived playfulness. Fourth, reuses of a web site are influenced by the perceived usefulness and the perceived playfulness. Finally, the quality of system affects the perceived usefulness and the skill & experience affect the perceived playfulness.

• Journal of Information Technology Applications and Management
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• 제26권6호
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• pp.89-101
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• 2019

Many researchers have been focused on designing beauty product recommendation system for a long time because of increased need of customers for personalized and customized recommendation in beauty product domain. In addition, as the application of the deep neural network technique becomes active recently, various collaborative filtering techniques based on the deep neural network have been introduced. In this context, this study proposes a deep neural network model suitable for beauty product recommendation by applying Neural Collaborative Filtering and Generalized Matrix Factorization (NCF + GMF) to beauty product recommendation. This study also provides an implementation of web API system to commercialize the proposed recommendation model. The overall performance of the NCF + GMF model was the best when the beauty product recommendation problem was defined as the estimation rating score problem and the binary classification problem. The NCF + GMF model showed also high performance in the top N recommendation.

• 한국산업정보학회:학술대회논문집
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• 한국산업정보학회 2006년도 춘계 국제학술대회 논문집
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• pp.221-228
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• 2006

With the increasing use of the Internet improved Internet technologies as well as web-based applications, the effectiveness assessment of e-Learning has become one of the most practically and theoretically important issues in both Educational Engineering and Information Systems. This study suggests a research model, based on an e-Learning success model, the relationship of the e-learner's self-regulated learning strategy and the quality perception of the e-Learning environment. This research model focuses on the learning environment and on e-learning strategy. The former consists of learning management system, learning content quality and service quality that are provided by e-Loaming. The latter refers to the learners' self-regulated learning strategy. We will show the validity of the model empirically.

• Asia Marketing Journal
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• 제24권3호
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• pp.121-130
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• 2022

To achieve the widespread use of Mobility as a Service (MaaS), a novel transportation platform, it is important to increase consumers' intention to use MaaS. Therefore, this study clarifies the determinants of consumers' intention to use MaaS based on the UTAUT2 model. The research model is tested using structural equation modeling based on data from a web-based questionnaire survey of Japanese consumers. The results show that performance expectancy, social influence, hedonic motivation, and price value have significant effects on the intention to use MaaS. Moreover, the relationship between the intention to use MaaS and independent variables is moderated by old age. Theoretical and practical implications are discussed based on the findings.