• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.11
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• pp.6856-6862
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• 2014

Web usage mining is a method to extract meaningful patterns based on the web users' log data. Most existing patterns of web usage mining, however, do not consider the users' diverse inclination but create general models. Web users' keywords can have a variety of meanings regarding their tendency and background knowledge. This study evaluated the extraction web-user's pattern after collecting and analyzing the web usage information on the users' keywords of interest. Web-user's pattern can supply a web page network with various inclination information based on the users' keywords of interest. In addition, the Web-user's pattern can be used to recommend the most appropriate web pages and the suggested method of this experiment was confirmed to be useful.

• Journal of the Korea Society of Computer and Information
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• v.19 no.4
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• pp.43-53
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• 2014

In this paper, we propose an ontology-based approach to measuring degree-of-interest in country by analyzing wikipedia usage data. First, we developed the degree-of-interest ontology called DOI ontology by extracting concept hierarchies from wikipedia categories. Second, we map the title of frequently edited articles into DOI ontology, and we measure degree-of-interest based on DOI ontology by analyzing wikipedia page views. Finally, we perform chi-square test of independence to figure out if interesting fields are independent or not by country. This approach shows interesting fields are closely related to each country, and provides degree of interests by country timely and flexibly as compared with conventional questionnaire survey analysis.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.8
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• pp.1531-1539
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• 2017

The existing SSD storage tester processed logs in a 1-N structure between server and client using TCP and network file system. This method causes some problems for example, an increase in CPU usage and difficulty in exception handling, etc. In this paper, we implement a log processing message layer that can deal with asynchronous distributed processing using open source messaging system such as kafka, RabbitMQ and compare this layer with existing log transmission method. A log simulator was implemented to compare the transmission bandwidth and CPU usage. Test results show that the transmission using the message layer has higher performance than the transmission using the message layer, and the CPU usage does not show any significant difference The message layer can be implemented more easily than the conventional method and the efficiency is higher than that of the conventional method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.1957-1980
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• 2021

The significant aim of this research has always been to evaluate the mechanism for efficient and inherently aware usage of vitality in-home devices, thus improving the information of smart metering systems with regard to the usage of selected homes and the time of use. Advances in information processing are commonly used to quantify gigantic building activity data steps to boost the activity efficiency of the building energy systems. Here, some smart data mining models are offered to measure, and predict the time series for energy in order to expose different ephemeral principles for using energy. Such considerations illustrate the use of machines in relation to time, such as day hour, time of day, week, month and year relationships within a family unit, which are key components in gathering and separating the effect of consumers behaviors in the use of energy and their pattern of energy prediction. It is necessary to determine the multiple relations through the usage of different appliances from simultaneous information flows. In comparison, specific relations among interval-based instances where multiple appliances use continue for certain duration are difficult to determine. In order to resolve these difficulties, an unsupervised energy time-series data clustering and a frequent pattern mining study as well as a deep learning technique for estimating energy use were presented. A broad test using true data sets that are rich in smart meter data were conducted. The exact results of the appliance designs that were recognized by the proposed model were filled out by Deep Convolutional Neural Networks (CNN) and Recurrent Neural Networks (LSTM and GRU) at each stage, with consolidated accuracy of 94.79%, 97.99%, 99.61%, for 25%, 50%, and 75%, respectively.

• Journal of the Korea Society of Computer and Information
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• v.27 no.9
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• pp.205-215
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• 2022

In this study, the authors analyzed the effect of demographic and mobile usage characteristics on mobile shopping addiction. In particular, this study focused on identifying the differences in shopping addiction between countries that were rarely covered in previous studies. As a result of the analysis, gender and age were identified as significant independent variables in demographic characteristics, and it was analyzed that there was a statistically significant moderating effect between these variables and nationality. In the mobile usage, the initial time of use was found to be a significant independent variable, and it was analyzed that there was also a moderating effect between the variable and nationality. The results of this study can be used as a clue to establishing marketing strategies for providing customized products and services from a corporate perspective, and can provide useful guidelines for resolving shopping addiction from a public policy perspective.

• Journal of the Korea Society of Computer and Information
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• v.28 no.10
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• pp.277-289
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• 2023

The purpose of this study is to explore the mechanisms influencing consumers' continued intention to use live-streaming e-commerce for shopping, providing strategic recommendations for businesses to optimize live-streaming activities and enhance consumers' shopping experiences. In this paper, we innovatively integrate the UTAUT2 and ECM theoretical models to construct a comprehensive research framework. This framework not only thoroughly reveals the multi-dimensional variables that affect consumers' continuous usage intentions but also delves deeply into the interrelationships among these variables. We collected data extensively through surveys and utilized the Structural Equation Modeling and Bootstrapping methods for analysis. The research results indicate that performance expectation plays a crucial role in determining the continuous usage intention; satisfaction exerts a significant mediating effect between performance expectation and four other variables concerning continuous usage intention; and expectation confirmation stands out as the most prominent factor in enhancing satisfaction.

• Korean Journal of Adult Nursing
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• v.20 no.3
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• pp.470-480
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• 2008

Purpose: The purpose of this study was to validate the scale of Informatics Competencies for Nurses developed by Staggers, Gassert & Curran(2001) among Korean nurses. Methods: The subjects of this study were 58 RN-BSN students and 314 nurses in Busan, Ulsan and Kyoungnam province. Data were collected by questionnaires from June to August, 2006 and from October, 2006 to August, 2007 and were analyzed by Principal Component Analysis for construct validity and Cronbach's ${\alpha}$ coefficient for reliability. Results: A factor analysis was conducted and 30 items that had a factor loading more than .40 were extracted. The explained variance from 5 factors was 55.33% of the total variance. The factors were named 'basic computer usage', 'medical informatics-related software usage', 'computer related information management', 'perception of informatics', and 'information search using internet'. The first factor consisted 10 items which explained 29.89% of the total variance and the second factor contained 7 items. The Cronbach's ${\alpha}$ coefficient was .91 among the 30 items. Conclusion: This scale, Informatics Competencies for Nurses, was proved as a proper instrument to apply to Korean nurses.

• Journal of Dental Rehabilitation and Applied Science
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• v.31 no.4
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• pp.358-363
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• 2015

Previously, the usage of monolithic zirconia in anterior restoration was limited because of problems such as the monotony of tones and shades which would compromise the outcome of esthetic purpose. Zirconia was merely used as a coping with additional porcelain veneering whereas porcelain chipping cannot be evaded. Recently, with the improvement of monolithic zirconia, the various translucency and tones made it possible to use zirconia for anterior restoration. In this case, a male patient of 63 years old received a full mouth rehabilitation with monolithic zirconia. After a period of time usage, the outcome showed a favorable result functionally and esthetically.

• Journal of the Korea Fashion and Costume Design Association
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• v.9 no.2
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• pp.49-57
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• 2007

The purpose of this study was to research the efficient tool of the exclusive fabric simulation in Jacquard Textile CAD system. For performing this design study, it designed the surface design of the abstract images of flowers through EAT Designscope CAD system and simulated the interior fabric. To merchandise the fashion items and see the visual image, these fabric simulations was effected by two or three-dimension modeling through EAT designscope, YongWoo CNI, Alias and so on. The result of this study can be summarized as follows. Before the step of weaving the samples from the surface design works, jacquard fabric design can be done very efficiently to apply the design step of the fabric simulation in CAD(Computer Aided Design). As the usage of the simulation tool in CAD system, jacquard design can be easily feed-back to modify for the right fabrics and produced the various designs in the short running time very efficiently. Therefore, this jacquard design system ultimately can be saved cost and developed the higher value-added goods in more response to consumer demands.

• Journal of the Korean Society of Costume
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• v.18
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• pp.307-319
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• 1992

The Purpose of this study Gerber company AM-300 system of the automatic system of Producing the original form the automatic system of Producing the original form of "Jogori(a Korean Jacket)' and Grading by the usage of computers and find out its efficiency. In the result, the auther has found out the following facts and became confident on the facts; The AM-300 program of the automatic system enabled to produce the original form of 'Jogori' and Grading fitting in a short time and definately, and which indicated that the automatically producing system of the original form of 'Jorgori' and Granding is efficient. Even in the aspect of education, it has been acknowledged that there is necessity of using computers, the accumulation of techincs and technology based on traditions by cultivating professional designers, and computerization so that the composition of 'Hanbok' (Korean clothes) should be rational and scientific. In addition, advertisement and education on the traditionalism and superiority of 'Hanblk' are indispensable and absolutely necessary. Also, to succeed folk costumes rightly, the usage of computers is thought to be a way to effectiveness. So far in the study, only the automatic system of producing the original form of 'Jogori' and Grading through computers is emphasized on, however in the future, such an automatic system should be continuously supplemented, studied on and developed even in other various fields such as in pattern making, design, products planning, etc..