• Communications for Statistical Applications and Methods
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• v.25 no.2
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• pp.217-234
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• 2018

Copulas are a tool for constructing multivariate distributions and formalizing the dependence structure between random variables. From copula literature review, there are a few asymmetric copulas available so far while data collected from the real world often exhibit asymmetric nature. This necessitates developing asymmetric copulas. In this study, we discuss a method to construct a new class of bivariate asymmetric copulas based on products of symmetric (sometimes asymmetric) copulas with powered arguments in order to determine if the proposed construction can offer an added value for modeling asymmetric bivariate data. With these newly constructed copulas, we investigate dependence properties and measure of association between random variables. In addition, the test of symmetry of data and the estimation of hyper-parameters by the maximum likelihood method are discussed. With two real example such as car rental data and economic indicators data, we perform the goodness-of-fit test of our proposed asymmetric copulas. For these data, some of the proposed models turned out to be successful whereas the existing copulas were mostly unsuccessful. The method of presented here can be useful in fields such as finance, climate and social science.

• Journal of KIISE:Software and Applications
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• v.36 no.8
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• pp.633-641
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• 2009

In this paper, we proposed a new pattern classifier which can be incrementally learned, be added new class in learning time, and handle with analog data. Proposed pattern classifier has hierarchical structure and the classification rate is improved by using different metric for each levels. Proposed model is based on the Gaussian ARTMAP which is an artificial neural network model for the pattern classification. We hierarchically constructed the Gaussian ARTMAP and proposed the Principal Component Emphasis(P.C.E) method to be learned different features in each levels. And we defined new metric based on the P.C.E. P.C.E is a method that discards dimensions whose variation are small, that represents common attributes in the class. And remains dimensions whose variation are large. In the learning process, if input pattern is misclassified, P.C.E are performed and the modified pattern is learned in sub network. Experimental results indicate that Hierarchical Gaussian ARTMAP yield better classification result than the other pattern recognition algorithms on variable data set including real applicable problem.

• The Journal of Korean Institute for Practical Engineering Education
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• v.1 no.1
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• pp.66-71
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• 2009

Simulator is being utilized usefully in industrial education. Especially, it is the best method to use for the higher value-added business or hazardous system to train. Also, it is needed to effect in forward-looking industrial education changing from theoretical education to hands-on training. Therefore, the development of equipment that can be used in both theory and experience class and its application to education help you to maximize the training effect on LPG transportation method when you work in the field. As a result of its applying to the education, the understanding of transportation system of educational equipment came out 4.86 points of 5 points, the utilization on site had 4.47 points/5 points, and the satisfaction has 0.5 points/4.48 points. The LPG transporting system(simulator) is considered effective when it is utilized in the education.

• Journal of applied mathematics & informatics
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• v.26 no.5_6
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• pp.1149-1159
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• 2008

Blind source extraction (BSE) is a special class of blind source separation (BSS) methods, which only extracts one or a subset of the sources at a time. Based on the time delay of the desired signal, a simple but important extraction algorithm (simplified " BC algorithm")was presented by Barros and Cichocki. However, the performance of this method is not satisfying in some cases for which it only carries out the constrained minimization of the mean squared error. To overcome these drawbacks, ICA with reference (ICA-R) based approach, which considers the higher-order statistics of sources, is added as the second stage for further source extraction. Specifically, BC algorithm is exploited to roughly extract the desired signal. Then the extracted signal in the first stage, as the reference signal of ICA-R method, is further used to extract the desired sources as cleanly as possible. Simulations on synthetic data and real-world data show its validity and usefulness.

• Archives of Plastic Surgery
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• v.37 no.1
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• pp.31-36
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• 2010

Purpose: The primary goal of palatoplasty is to enable normal speech with harmonious growth of face. Some children who had palatoplasty display typical findings of transverse maxillary deficiency requiring orthodontic widening of the maxilla. Levi (2009) described a cleft palate repair coupled with pedicled buccal fat pad flaps to cover bone exposed areas of the hard palate. Hence we report clinical experiences of cleft palate repair using pedicled buccal fat pad flap. Methods: Four Veau class II and a Veau class I cleft palate patients underwent palatoplasty with buccal fat pad flap by single surgeon from April 2009 to August 2009. Two patients received 2-flap palatoplasty and three patients 1-flap palatoplasty, respectively. After the cleft palate repair, sharp mosquito scissors was placed in the superior buccal sulcus just lateral to the maxillary tuberosity and inserted directly through the mucosa resulting in buccal fat pad extrusion. The elevated flap was moved to cover mucoperiosteal defect in hard palatal area. Results: Five patients underwent primary palatoplasty using buccal fat pad flap. Flap harvest and inset took on average 9 minutes per flap. Mucosal epithelization took 18 days on average. No patients had complications related to the buccal fat pad flap. Conclusion: Buccal fat pad pedicled flap has significant potential to function as an added vascularized tissue layer in cleft palate repair and we can expect better growth of maxilla with this method although longer duration of follow-up was unavailable.

• The Transactions of the Korea Information Processing Society
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• v.7 no.9
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• pp.2797-2806
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• 2000

Recently, DDSs(Distributed Database Systems) have been implemented on V AN(V alue Added Network) as we know the amazing expansion of information network. DDS can yield significant cost and response time advantages over centralized systems for geographically distributed organizations. However, inappropriate design can result in high cost and poor response time to maintain the database at each site. In a DDS design, the main problem is how to select proper computer and how to allocate data fragment into a proper site. In this paper, we address DDS design problem of selecting the proper class of computers and the allocating data files on VAN. Also, the formulated model includes two objectives, the waited response time and the investment cost to include their relationship. Specially, the formulation of waited response time is based on M/M/1 queueing system to evaluate more precisely. GA(Genetic Algorithm), a kind of heuristic search method, is developed to search an optimal solution in the proposed design model and we show the simulation result to examine the algorithm performance.

• Journal of the Korean Society for Library and Information Science
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• v.23
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• pp.63-106
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• 1992

The opening period of Korea was the period of modernisation amidst the conflicts between conservative and progressive sections with penetration of Western powers after 1876. With the opening modernisation accompanied modernisation of education. Missionary schools established by protestant missionaries played a crucial role in educational modernisation in the period of opening. In this article, the process of educational modernisation and the ways in which the ideas of democracy and equality were taught in the earliest schools, Paejae, Ewha, Kyoungsin and Chungsin are analysed through the method of bibliographical investigation of the textbooks used by these schools. No textbook prior to 1900 was found and in general there were no textbooks such as we know today. Usually English reading material and the Bible were the main teaching materials. Teachers kept their own copies of hand-written texts which were translated versions of American textbook. Since the same teacher taught in a number of schools, they shared same curriculum. In the early period, English Bible was taught so that English and the Bible lessons were not separated but gradually history and geography were added. Teaching of Hangul, and Korean history were added to encourage the sense of national identity and patriotism. In the case of Chungsin, for biology class, pupils were sent to Che-jung-won to learn human physiology, chemistry and physics, which shows an emphasis on science education. Vocational education was carried out; in the case of Paejae, a printing workshop was set up enabling students to earn some money at the same time as learning. Also in Kyungsin, skills of woodwork and basket weaving were stressed. Ewha also held a bazaar of the work made in sewing classes. Establishment of missionary schools brought about a great contribution in modernising Korean society and the Christian spiritual education of these schools lay the foundation for building democracy in Korea.

• The Transactions of the Korea Information Processing Society
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• v.6 no.8
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• pp.2000-2007
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• 1999

Recently, DDS (Distributed Database System) has been often implemented on VAN (Value Added Network) as we know the amazing expansion of information network. DDS can yield significant cost and response time advantages over centrailzed systems for geographically distributed organizations. However, inappropriate design can result in high cost and poor response time. In a DDS design, the main problem is 1) how to select proper computer, and 2) how to allocate data fragment into proper nodes. This paper addresses DDS design problem of selecting the proper class of computers and the allocating data files on VAN. Also, the formulated model includes tow objectives, the operating and investment cost. GA (Genetic Algorithm) is developed to solve this mathematical formulation. A numerical experiment shows that the proposed method arrives at a good solution.

• Journal of Dental Rehabilitation and Applied Science
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• v.30 no.2
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• pp.145-151
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• 2014

Purpose: The purpose of this study was to investigate the microleakage in class II cavity resin restorations used with resin-modified glass ionomer (RMGI) lining material depending on two different applying methods; classical delivery method using a dental explorer and a specially designed rotating bur. Materials and Methods: A total thirty-six extracted teeth were prepared with a class II proximal box, and randomly divided into three groups: 1) control group with no lining added and the proximal box restored (Group I), 2) the second group used RMGI as a lining material which was spread with an explorer (Group II), 3) the third group used a specially designed rotating bur to thin out RMGI (Group III). All teeth were restored with the same manner using incrementally placed resin composite. All 36 teeth were prepared and sectioned for the dye penetration test, and observed with a stereomicroscope for scoring the dye penetration. Results: When RMGI liners were used, both groups using an explorer and the special bur with the liner had significantly less microleakage than the control group with no liner (P < 0.05). The 50% of the group with RMGI liner using the bur showed no microleakage under a dye penetration test whereas all the teeth in control group showed microleakage of different degrees. However, there was no statistically significant difference between Group II and Group III. Conclusion: RMGI is an effective lining material to decrease microleakage in class II composite resin restorations regardless of applying methods.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.439 -447
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• 2023

This paper aims to develop a map for optimized class space using ZEP among the metaverse platforms. As a research method, the classroom space was organized so that the subject of learning became a learner, and the classroom space was modified and supplemented to optimize while being applied to elementary school computer classes. The contents of the study investigated learners' prior perception of metaverse, and compared and analyzed the advantages and disadvantages of the metaverse platform. In addition, the map was designed by reflecting the results of the survey, and after applying the map to the class, necessary APIs and apps were installed to supplement it. As a result, the learner became the subject of learning in the metaverse space, freely identified the space, and actively participated in the class. In particular, we found that students who were passive offline and those who had a low participation rate due to lack of skills participated more actively. In particular, students who were passive offline or whose participation was low due to lack of skills participated more actively. If API and JavaScript programs are added to collect log data of learners for learning analysis, real-time feedback is possible for learners, and learner feedback is possible for instructors with statistical data. If this is possible, the metaverse space can fully expect the role of a learning assistant for learners and a teaching assistant for instructors.