• Knowledge Management Research
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• v.19 no.2
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• pp.21-45
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• 2018

With the widespread use of smartphones and the development of information technology, an online service called SNS(social network service) has emerged, and as an increasing number of people began to use SNS, extensive research has been conducted on SNS. SNS is an important factor for adolescents who are developing social skills that help them to adapt to the society, and for adults who are stepping into the society. The present study investigates the effects of information search, self-disclosure, interaction, and playfulness, all of which are motivational factors for SNS use, on flow in SNS, and empirically analyzes the degree of these variables influence according to flow in SNS and individual's personal nature(extrovert, introvert). The analysis results showed that information search, self-disclosure, interaction, and playfulness were positively correlated with flow in SNS, and flow in SNS was positively correlated with social skills. The degree of influence varied depending on the individual's personal nature(extrovert, introvert). These findings may provide important insights for researchers studying SNS, SNS managers, and company officials using SNS.

• Journal of Information Processing Systems
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• v.14 no.1
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• pp.228-238
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• 2018

With the rapid advancement of Internet services, there has been a dramatic increase in services that dynamically provide Internet resources on demand, such as cloud computing. In a cloud computing service, because the number of users in the cloud is changing dynamically, it is more efficient to utilize a flexible network technology such as software-defined networking (SDN). However, to efficiently support the SDN-based cloud computing service with limited resources, it is important to effectively manage the flow table at the SDN switch. Therefore, in this paper, a new flow management scheme is proposed that is able to, through efficient management, speed up the flow-entry search speed and simultaneously maximize the number of flow entries. The proposed scheme maximizes the capacity of the flow table by efficiently storing flow entry information while quickly executing the operation of flow-entry search by employing a hash index. In this paper, the proposed scheme is implemented by modifying the actual software SDN switch and then, its performance is analyzed. The results of the analysis show that the proposed scheme, by managing the flow tables efficiently, can support more flow entries.

• Journal of Korean Elementary Science Education
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• v.30 no.3
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• pp.367-378
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• 2011

After pre-service teachers become teachers, traditional patterns of classroom discourse which they had experienced as students affect their classroom discourse implicitly. For this reason, it is needed to get a new insight for evaluating and reflecting a teacher's classroom discourse. In this study, I analyzed the information flow of science classes of pre-service elementary school teachers. The finding showed that teachers' organizational skills for students' information made advanced science classes by maintaining discourse cohesions. And the findings also showed a way how to analyze, evaluate or reflect science classroom discourse. This trial could contribute to find out the characteristics of teachers' science classroom discourse and show the directions to them how to change their classes beyond impressionable evaluations for their science classes.

• Journal of Korean Society on Water Environment
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• v.25 no.6
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• pp.863-871
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• 2009

For the assessment of climate change impacts on river flow condition, CGCM 3.1 T63 is selected as future climate information. The projections come from CGCM used to simulate the GHG emission scenario known as A2. Air temperature and precipitation information from the GCM simulations are converted to regional scale data using the statistical downscaling method known as MSPG. Downscaled climate data from GCM are then used as the input data for the modified TANK model to generate regional runoff estimates for 44 river locations in Nakdong river basin. Climate change is expected to reduce the reliability of water supplies in the period of 2021~2030. In the period of 2051~2060, stream flow is expected to be reduced in spring season and increased in summer season. However, it should be noted that there are a lot of uncertainties in such multiple-step analysis used to convert climate information from GCM-based future climate projections into hydrologic information.

• The Journal of Information Technology
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• v.1 no.2
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• pp.181-193
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• 1998

The measure of public information flow developed here is the number of order frequency. In the first part of the analysis, I document the general pattern of public information, with an emphasis on the intraday arrival of information. Overall, I find that public information arrival is nonconstant Consistent with earlier studies, I find that information arrival exhibits an inverted U-shape pattern across intraday trading. Over the average trading day, the flow of public information increases throughout the morning hours and then falls over the period, between 3:00 P.M. and 3:05. The second part of my analysis focuse is the relation between the public information variable and measure of intraday order frequency, specifically insignificant effect. According to time flow in the intraday trading, although the number of insignificant effect is increasing moderately, the result is remarkable in light of the aggreate nature of the public information and order frequency variable employed. The foreigner's investor group changes homogenously.

• 유체기계공업학회:학술대회논문집
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• 2002.12a
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• pp.346-353
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• 2002

The steam generator feedwater flow rate in a nuclear power plant was estimated by means of artificial neural networks with the wavelet analysis for enhanced information extraction. The fouling of venturi meters, used for steam generator feedwater flow rate in pressurized water reactors, may result in unnecessary plant power derating. The backpropagation network was used to generate models of signals for a pressurized water reactor. Multiple-input single-output heteroassociative networks were used for evaluating the feedwater flow rate as a function of a set of related variables. The wavelet was used as a low pass filter eliminating the noise from the raw signals. The results have shown that possible fouling of venturi can be detected by neural networks, and the feedwater flow rate can be predicted as an alternative to existing methods. The research has also indicated that the decomposition of signals by wavelet transform is a powerful approach to signal analysis for denoising.

• Journal of the Korean Society for Library and Information Science
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• v.35 no.1
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• pp.47-75
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• 2001

The purpose of this study is to improve the academic information flow systems in university environment. The study explored various aspects of academic research flow systems, such as national standards and rules for digital library of electronic theses and dissertations, and national information infrastructure for digital data collection, management flow system through networks. Based on the analysis of current situations, the study developed the procedures and systems for digitalizing, collecting, processing, archiving, and providing of graduate research works.

• Journal of Korea Game Society
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• v.11 no.3
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• pp.73-84
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• 2011

Online game market accounts for 56.4% of entire game industry in Korea. MMORPG games account for a great part of online game market which have 45.27%. However, most of them are wholly reliant on their subjective criteria - not general rule or standard in the planning and developing process. For this reason, they can be easily misunderstood imitation game which has no difference or creativeness from masterpiece. In this paper to solve this problem especially deals with the quantification of flow through analysis of MMORPG to propose common information or method of quantitative analysis. The method of quantitative analysis which deals with the quantification of flow through analysis of successful MMORPG verifies the effectiveness of the proposed method.

• Journal of Korean Society on Water Environment
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• v.25 no.5
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• pp.651-660
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• 2009

Detailed flow analysis in river is essential to increase the accuracy of water quality simulation since flow variation depends on many factors such as cross sections, channel slopes, and bed materials. In the QUAL2E stream water quality simulation model, the hydraulic coefficients are assigned to the reach that is collection of computational element using the hydraulic coefficient. This study developed a module that can incorporate the results of non-uniform flow analysis and assign such information to each individual element. Model application focused on the upstream of the Hoengseong reservoir including the reservoir where significant flow change is expected. Comparing with original QUAL2E model the developed module improved the result of water quality simulation without considering the relation of flow velocity and flow depth in terms of flow rates.

• International Commerce and Information Review
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• v.10 no.2
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• pp.63-87
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• 2008

This study investigates the relationship between perceived system characteristics of Internet shopping mall and loyalty, and examines how perceived website attractiveness and flow play mediating roles between perceived system characteristics of Internet shopping mall and affective commitment in the context of Internet clothing shopping mall. For these purposes, the author developed a structural model which consists of several variables. In this model, perceived system characteristics of Internet shopping mall that consist of such as familiarity, reputation, uniqueness, positive emotion, self-efficacy, and interactivity were proposed to affect the website attractiveness and flow, and in turn, result in higher affective commitment. Thus, perceived website attractiveness and flow were proposed as core mediating variables between perceived mobile service characteristics and affective commitment. To test unidimensionality and nomological validity of the measures of each construct, the author employed scale refinement procedure. The results of reliability test with Cronbach's, and confirmatory factor analysis warranted unidimensionality of the measures for each construct. In addition, nomological validity of the measures was warranted from the result of correlation analysis.