• Proceedings of the KIPE Conference
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• 2000.07a
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• pp.628-631
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• 2000

A new control method for precision robust speed control of a PMSM(Permanent Magnet Synchronous Motor) using load torque observer is presented. With this system we can obtain more reliable eye moving singal(nystagmus) Until now rotating chair system which is called 2D-optokinetic stimulator is used to make dizzincess. However an inclined rotating chair system witch is 3D-optokinetic stimulator is needed to obtain the precise dizziness data. This 3D-optokinetic sitimulator include unbalanced load aused by unbalanced center of mass. For this case new compensation method is considered to obtain robust speed control using load torque observer. To reduce the effect of this disturbance we can use dead-beat observer which has high gain. The application of the load torque observer is published in [1] for position control. A problem of using speed information such as amplifying effect of noise is reduce by moving average process. The experimental results are depicted in this paper to show the effect of this proposed algorithm.

• Journal of Community Nutrition
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• v.3 no.1
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• pp.53-58
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• 2001

Dietary pattern in relation to alcohol consumption was studied in 7,370 Korean adults aged 20 years and older in 1998 Koran National Health and Nutrition Survey in which 24 hour recall method was used for dietary survey, The aim of this study was to investigate the effect of alcohol consumption on food and nutrient intake among Koreans, Individual drinking data was collected by interview as a part of health behavior survey T est was adopted to between nutrient intake level and drinking status. Drinkers of both sexes showed less consumption of foods from vegetable origins than non-drinkers, Consequently,. They also had significantly less carbohydrate consumption then non-drinker. This result may suggest that diets of Korean drinkers is unbalanced in terms of low consumption of food from vegetable origin and carbohydrate, Nutrition education should focus on those issues to improve the nutritional status and prevent potential risk disease by unbalanced diet.

• 시스템엔지니어링워크숍
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• s.4
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• pp.65-69
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• 2004

Abstract Tilting train has been developed to increase the oprational speed of the trains on conventional lines which have many curves. This train are tilted at curves to compensate for unbalanced carbody centrifugal acceleration to a greater extent than compensation produced by the track cant, so that passengers do not feel centrifugal acceleration and thus trains can run at higher speed at curves. This paper developed PDM(product data management) to make a system engineering of TTX(Tilting Train eXpress) with maximum operation speed 180 km/h.

• Journal of the Korean Data and Information Science Society
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• v.9 no.2
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• pp.119-138
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• 1998

The case of proportional cell frequencies for the two-way cross-classification with interaction is considered. Several types of hypotheses for the general unbalanced data that are commonly used in the literature are shown, and they are written out for this particular case. A reparameterized form of the cell means model is defined to establish the reparameterized model, and orthogonal property of the model is shown using the augmented matrix and the numerator sums of squares are computed. Different ways of producing the same analysis of variance tables are shown in both orthogonal and nonorthogonal situations.

• Communications for Statistical Applications and Methods
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• v.8 no.3
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• pp.885-894
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• 2001

Decision tree methods is the one of data mining techniques. Classification trees are used to predict a class label. When a tree grows, the conventional splitting criteria use the weighted average of the left and the right child nodes for measuring the node impurity. In this paper, new splitting criteria for classification trees are proposed which improve the interpretablity of trees comparing to the conventional methods. The criteria search only for interesting subsets of the data, as opposed to modeling all of the data equally well. As a result, the tree is very unbalanced but extremely interpretable.

• Journal of the Korean Data and Information Science Society
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• v.15 no.3
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• pp.645-654
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• 2004

In this paper, we develop the Bayesian test procedure for the intraclass correlation coefficient in the unbalanced one-way random effect model based on the reference priors. That is, the objective is to compare two nested model such as the independent and intraclass models using the factional Bayes factor. Thus the model comparison problem in this case amounts to testing the hypotheses $H_1:\rho=0$ versus $H_2:{\rho}{\neq}0$. Some real data examples are provided.

• Journal of Korean Academy of Nursing
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• v.36 no.2
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• pp.299-309
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• 2006

Purpose: The main purpose of this study was to develop a substantive theory on the process of the spiritual experience in Christian terminal cancer patients in the context of Korean society and culture. The question for the study was 'What is the spiritual process in Christian terminal cancer patients?'. Method: The research method used was the Grounded Theory Method developed by Strauss & Corbin(1998). Participants for this study in total were 9 Christian terminal cancer patients. Data was collected using in-depth interviews during April 2003 to March. 2004. Data collection and analysis were carried out at the same time. Result: From the analysis 58 concepts and 20 categories emerged. The categories were presented into a paradigm, which consisted of condition-actions/interactions-consequences. The theoretical scheme was described by organizing categories. In total, 4 stages were developed from the condition-actions/ interactions-consequences. Throughout these stages, the 'overcoming process of unbalanced interconnectedness' was the core category discovered. Conclusion: This study provides a framework for the development of individualized care interventions in the 'overcoming process of unbalanced interconnectedness' for Christian terminal cancer patients.

• Communications for Statistical Applications and Methods
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• v.4 no.2
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• pp.581-588
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• 1997

Univariate F test is based on the multisample sphericity assumption. Robustness for tests of a main effect of the within-subjects factor was investigated when the assumptions of the onmibus F tests are violated in a split-plot design with one between-subjects factor using untrimmed data and trimmed data. The results indicate that when sample sizes are unbalanced and dispersion matrices are heterogeneous, the CIGA and the $CIGA_T$ tests better control Type I error rates than do the $F_T$test and the$\widetilde{\xi_T}$test.

• Journal of Korea Multimedia Society
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• v.10 no.1
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• pp.13-25
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• 2007

A cache is used for optimization of query forwarding in the Grid database. To decrease network transmission cost, frequently used data is cached from meta database. Existing cache management method has a unbalanced resource problem, because it doesn't manage replicated data in each node. Also, it increases network cost by cache misses. In the case of data modification, if cache is not updated, queries can be transferred to wrong nodes and it can be occurred others nodes which have same cache. Therefore, it is necessary to solve the problems of existing method that are using unbalanced resource of replica and increasing network cost by cache misses. In this paper, cache management method for query forwarding optimization is proposed. The proposed method manages caches through cache manager. To optimize query forwarding, the cache manager makes caching data from lower loaded replicated node. The query processing cost and the network cost will decrease for the reducing of wrong query forwarding. The performance evaluation shows that proposed method performs better than the existing method.

• Journal of Biomedical Engineering Research
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• v.29 no.6
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• pp.466-476
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• 2008

The more people use ambulatory electrocardiogram(ECG) for arrhythmia detection, the more researchers report the automatic classification algorithms. Most of the previous studies don't consider the un-balanced data distribution. Even in patients, there are much more normal beats than abnormal beats among the data from 24 hours. To solve this problem, the hierarchical classification using 21 features was adopted for arrhythmia abnormal beat detection. The features include R-R intervals and data to describe the morphology of the wave. To validate the algorithm, 44 non-pacemaker recordings from physionet were used. The hierarchical classification model with 2 stages on domain knowledge was constructed. Using our suggested method, we could improve the performance in abnormal beat classification from the conventional multi-class classification method. In conclusion, the domain knowledge based hierarchical classification is useful to the ECG beat classification with unbalanced data distribution.