• Journal of the Korean Operations Research and Management Science Society
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• v.22 no.3
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• pp.191-208
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• 1997

Recently, self-efficacy is one of the critical constructs that have been found to influence human decisions about behavior selection and the performance associated with the selected behavior. The construct has been widely adaopted and tested in the fields of social psychology and/or other behavioral sciences. In information system field, however, it has been hardly studied, although computer self-efficiency could have been an important factor explaining and predicting human computer usage behaviors. From this perspective, main proposes of the study are : (1) to develop a measure of computer self-efficacy, 2) to identify the factors influencing self-efficacy, and 3) to reveal the relationship between self-efficacy and computer usage behavior. By reviewing the literature, past experience, others'use, encouragement by others, and anxiety are selected as the factors influencing computer self-efficacy. Four hypotheses concerning the relationship between each of the variables and computer self-efficacy are tested by LISREL. One more hypothesis about the relationship between computer self-efficacy and computer usage is also tested. The results show that computer self-efficacy is significantly influenced by computer ansiety, encouragement by others, and computer experience, and that it is closely correlated with computer usage behavior.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.48 no.3
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• pp.82-90
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• 2011

Multi-core system is becoming more general with development of microprocessors. Due to this change in performance improvement paradigm, switching conventional single thread applications with multi thread applications. Performance monitoring tools are used to optimize application performance because of complexity in development of multi thread applications. Conventional performance monitoring tools are focused on performance itself rather than user friendliness or real-time support. Real-time performance monitor identify the problem while multi-threaded applications should be performed as well as check real-time operating status of the application. So it can be used as an effective tool compared to non-real-time performance monitor that only with simple performance indicators to find the cause of the problem. In this paper, we propose RMPM(Real-time Multi-core Performance Monitor) which is real-time performance monitoring tool for multi-core system. Observation period is optimized by comparing relation between overhead due to performance evaluation period and accuracy. Our performance monitor shows not only amount of CPU usage of whole system, memory usage, network usage but also aspect of overhead distribution per thread of an application.

• East Asian mathematical journal
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• v.29 no.1
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• pp.101-107
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• 2013

We consider a cognitive network with a primary and a secondary channel. Primary users have higher priority on the usage of the primary channel, and secondary users are allowed to opportunistically access the primary channel at times when the channel is not occupied by primary users. The secondary channel is dedicated only to secondary users. An analytical model is presented to obtain the performance of an opportunistic spectrum access using both the primary and secondary channels, and is validated by simulations.

• The KIPS Transactions:PartB
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• v.9B no.4
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• pp.389-390
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• 2002

It is important that acquire information about if customer has some habit in electronic commerce application of internet base that led in recommendation service for customer in dynamic web contents supply. Collaborative filtering that has been used as a standard approach to Web personalization can not get rapidly user's preference change due to static user profiles and has shortcomings such as reliance on user ratings, lack of scalability, and poor performance in the high-dimensional data. In order to overcome this drawbacks, Web usage mining has been prevalent. Web usage mining is a technique that discovers patterns from We usage data logged to server. Specially. a technique that discovers Web usage patterns and clusters patterns is used. However, the discovery of patterns using Afriori algorithm creates many useless patterns. In this paper, the enhanced method for the construction of dynamic user profiles using validated Web usage patterns is proposed. First, to discover patterns Apriori is used and in order to create clusters for user profiles, ARHP algorithm is chosen. Before creating clusters using discovered patterns, validation that removes useless patterns by Dempster-Shafer theory is performed. And user profiles are created dynamically based on current user sessions for Web personalization.

• International Commerce and Information Review
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• v.6 no.1
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• pp.99-126
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• 2004

E-Trade is expected to dominate the global trade in the 21st century and thus is being introduced as a major policy assignment for each development country. e-trade has the potential to accelerate existing trends and introduce new ways of conducting trade. and e-trade is an alternative to strengthen international competitiveness. therefore, we needs to quickly adjust to this new method of e-trade and provide a number of policy suggestions that it can make best use of. However, successful implemetation, diffusion and usage of e-trade system require cooperation, commitment and the trust of all participating members in international trade process. A number of interorganizational, intraorganizational and innovation factors can influence both the extent to which e-trade is diffused and the level of subsequent performance that accure to participating firms. Considering the characteristics of e-trade, the proposed factors are based on an interdisciplinary study. The research model is based on the theories of innovation diffusion, inter-organizational system, and IS implementation. The factors proposed for this study of external firm factors, internal firm and perception factors.

• Proceedings of the IEEK Conference
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• 2000.06a
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• pp.115-118
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• 2000

In order to control the flow of traffics in ATM networks and optimize the usage of network resources, an efficient control mechanism is necessary to cope with congestion and prevent the degradation of network performance caused by congestion. To effectively control traffic in UNI(User Network Interface) stage, we proposed algorithm of integrated model using on-line teaming neural network for CAC(Call Admission Control) and UPC(Usage Parameter Control). Simulation results will show that the proposed adaptive algorithm uses of network resources efficiently and satisfies QoS for the various kinds of traffics.

• Information Systems Review
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• v.6 no.2
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• pp.47-63
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• 2004

As Internet usages proliferate, the interests on cyber space and virtual community increase. The purpose of this study is to find the role of cognitive absorption as an intermediate variable. It is a variable that links factors that affect on members' usage of virtual community and cognitive absorption. The result of this study shows that challenges, skills, perceived reality, and needs affect the usage of virtual community through cognitive absorption, while only interactivity affects the usage of virtual community directly. This shows that cognitive absorption plays an important role in the usage of virtual community. The major contribution in this study is that cognitive absorption influences on the usage of virtual community greatly. If there is a way to increase the intensity of cognitive absorption, it will strongly help increase the performance of virtual community.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.33B no.11
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• pp.106-115
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• 1996

In this paper, the method using virtual scheduling suggested algorithm (VSSA) is suggested by considering cell delay variation and token rate of leaky bucket. This method is compared with virtual scheduling algorithm (VSA) and virtual scheduling algorithm with no tolerance excessive peak cell rate. As a result, the research shows that the usage parameter control using vSSA makes quality of service better than the usage parameter control using vSA or VSANT does because the suggested method reduces the violated cell probability of conformed peak cell rate and intentionally excessive peak cell rate.

• Journal of Information Technology Services
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• v.11 no.2
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• pp.1-17
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• 2012

This study based on DeLone and McLean's IS success model aims to identify mobile office service factors affecting user satisfaction. The result of analysis showed that user satisfaction was positively related to job performance, and mobility and information quality affects user satisfaction. In addition to that, we carried out separated hypotheses test to investigate mobile office service factors depending on usage(frequently used functions) and job characteristics classified generally as either primary or support activities. As a result of this research, somewhat different results were derived. The main results of this study are that mobility is the most important factor affecting user satisfaction, and mobile office services should be more strictly guaranteed in quality especially if it supports primary activities of customer companies such as sales.

• Korean Journal of Environment and Ecology
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• v.20 no.1
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• pp.9-19
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• 2006

This study was conducted on the visitors regarding their usage and evaluation state of the interpretive media which is utilized as a self-guide environment interpretation for the purpose of accumulating basic data for the park management. A questionnaire survey was chosen and the 275 valid samples among them were analyzed. The socioeconomic and behavioral characteristics of the visitors turned out to be similar with the results from another visitor survey in the same site. Among those who used the interpretive media, the largest proportion(77%) used the information board resources of the park; the usage rate of interpretive labels of woody plants, interpretive signs of cultural assets, and LED signs were shown to be relatively high. The usage of park brochures, park web sites, visitor center exhibits, and bulletin boards were less than 40% each. Visitors were asked to evaluate the importance and performance of the nine interpretive medias using a Likert Scale whose value ranges from one to five. The result recorded averaged above 4, which proved that the respondents were perceiving the importance of all forms of interpretive media greatly. The performance of interpretive media was also evaluated as affirmative, except the visitor center exhibits.