• Korean Journal of Mathematics
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• v.25 no.1
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• pp.19-35
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• 2017

In this communication, we introduce an Ishikawa type iterative algorithm for finding the approximate solutions of a class of nonlinear set valued variational inclusion problems. We also establish a characterization of strong convergence of this iterative techniques.

• 한국데이터정보과학회:학술대회논문집
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• 2006.04a
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• pp.229-233
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• 2006

In teaching statistics in the secondary school, most math teachers do it and students enjoy it well before 11th grade. But, both of teachers and students feel statistics hard at 11th grade, which has been contained permutations, combinations, random variables, probability distributions, hypotheses and tests for normal distribution. In this study, we explore the efficient teaching methods of statistics for math teachers and also find many students enjoying it.

• East Asian mathematical journal
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• v.27 no.5
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• pp.585-595
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• 2011

In this paper, we introduce and study a new class of strongly nonlinear variational-like inequalities. Under suitable conditions, we prove the existence of solutions for the class of strongly nonlinear variational- like inequalities. By making use of the auxiliary principle technique, we suggest an iterative algorithm for the strongly nonlinear variational-like inequality and give the convergence criteria of the sequences generated by the iterative algorithm.

• Journal of Animal Science and Technology
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• v.47 no.2
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• pp.167-176
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• 2005

PIGK(phosphatidylinositol glycan, class K) is a subunit of GPI transamidase that cleaves the signal peptide in proproteins and replaces it with GPI. In addition, the structure and synthesis of GPI are critically involved in some of the cellular actions of insulin. Therefore, PIGK would be essential for mammalian development and many specific cellular functions as well as for metabolic activity of insulin associated with GPI. Two types of" full-length cDNAs of porcine PIGK were cloned through RT-PCR and RACE experiments. One is thought to be a normal form(consist of 395 amino acids) and the other is considered as an alternative spliced form(consist of 371 amino acids) which contains additional 63 bps in intron 7. Since a stop codon was contained within the insertion, the spliced form has a shorter coding sequence than that of normal form. A missense mutation (T314I) in exon 6 was detected and used for genotyping to estimate association with the growth and fat deposition traits for 545 $F_2$ animals(Korean native boars ${\times}$ Landrace). From the PCR-RFLP analysis using HpyCH4III, CT genotype showed highly significant relationship(P< 0.01) with carcass fat contents.

• Journal of the korean academy of Pediatric Dentistry
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• v.28 no.3
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• pp.391-402
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• 2001

The reports concerning dental disease in handicapped children are contentious, and there are many differences of opinion as to what extent handicapped children differ in oral health and disease from healthy children. The present study was done by conducting a comprehensive study and evaluation of the oral health between the 267 handicapped and the 128 normal persons with regard to caries rate, occlusion and the condition of the periodontium. The result showed that the dft, the dfs and DMFT indices of handicapped persons according to age were significantly lower than those of normal persons(p<0.05). The prevalence of gingivitis in handicapped persons increased with age and was significantly higher than those reported for normal persons(p<0.001). It was found that the handicapped group had a significant difference in the class distribution of occlusion, with a higher percentage of Class II and Class III occlusion from that observed in the control group(p<0.05).

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.3 no.1
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• pp.100-104
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• 2003

The SVDD(support vector data description) is one of the most well-known one-class support vector learning methods, in which one tries the strategy of utilizing balls defined on the kernel feature space in order to distinguish a set of normal data from all other possible abnormal objects. The major concern of this paper is to consider the problem of modifying the SVDD into the direction of utilizing ellipsoids instead of balls in order to enable better classification performance. After a brief review about the original SVDD method, this paper establishes a new method utilizing ellipsoids in feature space, and presents a solution in the form of SDP(semi-definite programming) which is an optimization problem based on linear matrix inequalities.

• Journal of the Korean Data and Information Science Society
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• v.28 no.2
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• pp.435-442
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• 2017

Consider the problem of estimating a $p{\times}1$ mean vector ${\theta}$ (p ${\geq}$ 3) under the quadratic loss from multi-variate normal population. We find a James-Stein type estimator which shrinks towards the projection vectors when the underlying distribution is that of a variance mixture of normals. In this case, the norm ${\parallel}{\theta}-K{\theta}{\parallel}$ is known where K is a projection vector with rank(K) = q. The class of this type estimator is quite general to include the class of the estimators proposed by Merchand and Giri (1993). We can derive the class and obtain the optimal type estimator. Also, this research can be applied to the simple and multiple regression model in the case of rank(K) ${\geq}2$.

• Journal of Integrative Natural Science
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• v.5 no.3
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• pp.186-189
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• 2012

For the mean vector of a p-variate normal distribution ($p{\geq}3$), the optimal estimation within the class of James-Stein type decision rules under the quadratic loss are given when the underlying distribution is that of a variance mixture of normals and when the norm ${\parallel}\underline{{\theta}}{\parallel}$ in known. It also demonstrated that the optimal estimation within the class of Lindley type decision rules under the same loss when the underlying distribution is the previous type and the norm ${\parallel}{\theta}-\overline{\theta}\underline{1}{\parallel}$ with $\overline{\theta}=\frac{1}{p}\sum\limits_{i=1}^{n}{\theta}_i$ and $\underline{1}=(1,{\cdots},1)^{\prime}$ is known.

• Korean Journal of Mathematics
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• v.25 no.3
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• pp.437-453
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• 2017

A new class of sets, called generalized (${\Lambda}$, b)-closed sets, has been introduced and studied. Also, several properties of generalized (${\Lambda}$, b)-closed sets are investigated. Some characterizations of ${\Lambda}_b$-regular spaces and ${\Lambda}_b$-normal spaces are discussed.

• Imaging Science in Dentistry
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• v.49 no.4
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• pp.281-286
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• 2019

Purpose: The purpose of this study was to evaluate the morphology of the mandibular cortex in cases of medication-related osteonecrosis of the jaw (MRONJ) in patients with osteoporosis or bone metastases using a computer programme. Materials and Methods: Fifty-four patients with MRONJ (35 with osteoporosis and 19 with bone metastases) were examined using panoramic radiography. The morphology of the mandibular cortex was evaluated using a computer programme that scanned the mandibular inferior cortex and automatically assessed the mandibular cortical index (MCI) according to the thickness and roughness of the mandibular cortex, as follows: normal (class 1), mildly to moderately eroded (class 2), or severely eroded (class 3). The MCI classifications of MRONJ patients with osteoporosis or bone metastases were evaluated with the Pearson chi-square test. In these analyses, a 5% significance level was used. Results: The MCI of MRONJ patients with osteoporosis(class 1: 6, class 2: 15, class 3: 14) tended to be higher than that of patients with bone metastases(class 1: 14, class 2: 5, class 3: 0)(P=0.000). Conclusion: The use of a computer programme to assess mandibular cortex morphology may be an effective technique for the objective and quantitative evaluation of the MCI in MRONJ patients with osteoporosis or bone metastases.