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A Clinical Study of Valve Repair of the Mitral Valvular Disease (승모판막 질환의 판막 재건술에 대한 임상연구)

  • 김민호
    • Journal of Chest Surgery
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    • v.27 no.9
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    • pp.752-758
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    • 1994
  • From July 1983 to December 1992, 145 patients with mitral valvular disease underwent open heart surgery at Chonbuk National University Hospital. Of these patients, 89 patients[61.4%] required mitral valve replacement. 56 patients [38.6 %] had mitral valve repair. There were 32 women and 24 men and the mean age was 34.3 years[range 6 years to 62 years].There were 23 cases of pure mitral stenosis, 19 cases of mitral regurgitation and 14 cases of mixedmitral valvular disease. The mean duration of symptom was 4.53 years and mean mitral valvularorifice diameter[in cases of pure stenosis and mixed mitral valvular lesion] was 0.96 cm. According to the NYHA classification, the distribution of patients preoperatively was as follows; class IIa, 15 patients; class lib, 17 patients; class III, 22 patients; class IV, 2 patients. Four patients[7%] had an embolic history preoperatively. 24 patients[ 43 %] were in atrial fibrillation. In cases of pure mitral stenosis, the technique used included open mitral commissurotomy[21atients], open mitral commissurotomy with mitral annuloplasty[2 patients]. In mixed mitral valvular disease, open mitral commissurotomy[ll patients] and open mitral commissurotomy with mitral annuloplasty[l patient] were performed. In cases of mitral regurgitation, mitral annuloplasty[5 patients], mitral valvuloplasty[6 patients], mitral annuloplasty with valvuloplasty [3 patients] and ring annuloplasty [5 patients] were performed.There was one perioperative death related to acute renal failure and sepsis. One late death was occurred related to heart failure after 10 months postoperatively. One patient required reoperation due to restenosis and no embolic episode was occured. After operation, 34 patients were in NYHA functional class I, 20 patients were in class IIa.

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Indexing Techniques or Nested Attributes of OODB Using a Multidimensional Index Structure (다차원 파일구조를 이용한 객체지향 데이터베이스의 중포속성 색인기법)

  • Lee, Jong-Hak
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.8
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    • pp.2298-2309
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    • 2000
  • This paper proposes the multidimensioa! nested attribute indexing techniques (MD- NAI) in object-oriented databases using a multidimensional index structure. Since most conventional indexing techniques for object oriented databases use a one-dimensional index stnlcture such as the B-tree, they do not often handle complex qUlTies involving both nested attributes and class hierarchies. We extend a tunable two dimensional class hierachy indexing technique(2D-CHI) for nested attributes. The 2D-CHI is an indexing scheme that deals with the problem of clustering ohjects in a two dimensional domain space that consists of a kev attribute dOI11'lin and a class idmtifier domain for a simple attribute in a class hierachy. In our extended scheme, we construct indexes using multidimensional file organizations that include one class identifier domain per class hierarchy on a path expression that defines the indexed nested attribute. This scheme efficiently suppoI1s queries that involve search conditions on the nested attribute represcnted by an extcnded path expression. An extended path expression is a one in which a class hierarchy can be substituted by an indivisual class or a subclass hierarchy in the class hierarchy.

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Multi-target Classification Method Based on Adaboost and Radial Basis Function (아이다부스트(Adaboost)와 원형기반함수를 이용한 다중표적 분류 기법)

  • Kim, Jae-Hyup;Jang, Kyung-Hyun;Lee, Jun-Haeng;Moon, Young-Shik
    • Journal of the Institute of Electronics Engineers of Korea CI
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    • v.47 no.3
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    • pp.22-28
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    • 2010
  • Adaboost is well known for a representative learner as one of the kernel methods. Adaboost which is based on the statistical learning theory shows good generalization performance and has been applied to various pattern recognition problems. However, Adaboost is basically to deal with a two-class classification problem, so we cannot solve directly a multi-class problem with Adaboost. One-Vs-All and Pair-Wise have been applied to solve the multi-class classification problem, which is one of the multi-class problems. The two methods above are ones of the output coding methods, a general approach for solving multi-class problem with multiple binary classifiers, which decomposes a complex multi-class problem into a set of binary problems and then reconstructs the outputs of binary classifiers for each binary problem. However, two methods cannot show good performance. In this paper, we propose the method to solve a multi-target classification problem by using radial basis function of Adaboost weak classifier.

The Introduction of a Preschool Class as an Alternative to Lowering School Entrance Age: A Case Study of Sweden (스웨덴의 유아학급 설치 사례를 통해 살펴본 취학연령 하향화 대처 방안)

  • Han, You-Me
    • Korean Journal of Human Ecology
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    • v.19 no.4
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    • pp.589-599
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    • 2010
  • When the Korean government announced the lowering of the school entrance age from 6 to 5 years in an effort to increase the fertility rate, one candidate for the Seoul mayor rode on the slogan, 'one dong, one public kindergarten'. This study attempted to show the introduction of a preschool class for six-year-olds being used as analternative to lowering school entrance age in Sweden. First, the current state of preschool class, the Early Childhood Education and Care, and the education system in Sweden were described. Next, the background for the introduction of the preschool classes was analyzed. Thirdly, the effects of preschool class were evaluated from the perspectives of 6 year-olds as well as the institutiona land social status of the ECEC. Results from this study imply not only that the lower school entrance age policy should be abolished but also preschool classes could be considered as an alternative.

A Study on the National Mourning Dresses System of the Joseon Dynasty -Focused on the Women's Dresses- (조선시대 국상 시 오복제도에 관한 연구 (제1보) -여자 복식을 중심으로-)

  • Lee, Young-Joo
    • Journal of the Korean Society of Clothing and Textiles
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    • v.32 no.10
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    • pp.1595-1607
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    • 2008
  • The purpose of this study is to find the reason why the National Mourning Dress System of the Joseon Dynasty had been established although the General Mourning Dress System had exist through research of three things; differences of each social class, changes of the National Mourning Dress System by the age and differences between the National one and the General one. The methodology which is adopted for this study is comparative analysis by social class, period and age from the Annals of the Joseon Dynasty and the Orye-e. And this study is focus on the women's dress. The results of this study is as follows; Firstly, some mourning dress items had been different or not used by class. Secondly, although there had not been a great change, some dress items had been disappeared or used irregularly. And Naemyoungbu Naekwan's mourning dress had been changed by the age. Thirdly, The National one was more extensive in wearing and applied differently by class compare to the General one. Also it had an additional rule according to the period, duty and place to Naemyoungbu-Naekwan and Naemyoungbu-Goongkwan. The National one had been established by ruling class of The Joseon Dynasty who had tried to keep the Confucian standard and perfect social status system. And it is supposed that the National Mourning Dress System had not been a great change because the ruling class' will had not been changed.

A study on the possibility and using method of portfolio in elementary mathematics class (초등학교 수학과 수업에서 포트폴리오의 활용 가능성과 그 적용 방안에 관한 연구)

  • 이명희;송상헌
    • School Mathematics
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    • v.4 no.3
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    • pp.331-346
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    • 2002
  • This study has two purposes. One is to know that it is Possible to use portfolio in the elementary math class. The other is to make a useful method for using portfolio. We got the following conclusion through the study. Portfolio gave students an opportunity that they could review their mathematical thinking. But it couldn't work very well for the low-level students. They didn't pay attention to the class. So, careful prepa-ration and training were necessary for the portfolio material. And the portfolio material must be prepared by appropriate contents. Teacher had to do math class by considering students ability. The math class could be much better for motivation, teaching-learning activity impro-vement and communication tool by using portfolio material. There are several imple-mentation processes in preparation, execution and utilization of the class. 1) Preparation: Teacher must decide if it is appropriate for portfolio by analyzing the course and textbook and set a final goal. And then teacher has to select an appropriate item and make a schedule for the class. The portfolio material must contain valuable things from which students learn mathematics and use in their life. The student level, utilization purpose and contents are considered when one prepares portfolio material. 2) Execution: Students are supposed to understand about the portfolio very well. It is important for them to get the opportunity for reviewing through math class diary, their opinion, friends opinion and teachers opinion. 3) Utilization: Parents review ameliorates the communication among teacher, student and parents about learning activity.

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Business Models exploiting Collective Wisdom

  • Kim, Ki-Eun
    • 한국IT서비스학회:학술대회논문집
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    • 2008.11a
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    • pp.157-160
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    • 2008
  • The recent successes of systems like Google, Wikipedia and InnoCentive suggest that the time is now ripe for more such systems. Thus, we want to explore these systems and exploit them from a viewpoint of social psychology prior to technological progress. First of all, we examine the difference between 'wisdom of crowds' and 'crowd psychology'. There are two classes, which are for senior management major students. Conditions of two are same, except a class time. Forty five students in one class are tested for this experiment. They form a group with five people and are divided into 9 groups. In a case of a morning class, peer-to-peer evaluations are given to individuals in a class when a group presentation for a final project is given. On the other hand, in a case of afternoon class, peer-to-peer evaluations are given to each group in a class. The result is quite fruitful. The first is that an expert's evaluation for a project agrees with students, who are beginners in this field in the degree of more than 95%. However, in the case of afternoon class, students' group evaluation turns out to agree with an expert's one less than 53%. Morning class experiment result proves the truth of collective intelligence again. It tunrs out independent and confidential opinions are more cost effective and give right answers to questions than group opinions.

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kNNDD-based One-Class Classification by Nonparametric Density Estimation (비모수 추정방법을 활용한 kNNDD의 이상치 탐지 기법)

  • Son, Jung-Hwan;Kim, Seoung-Bum
    • Journal of Korean Institute of Industrial Engineers
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    • v.38 no.3
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    • pp.191-197
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    • 2012
  • One-class classification (OCC) is one of the recent growing areas in data mining and pattern recognition. In the present study we examine a k-nearest neighbors data description (kNNDD) algorithm, one of the OCC algorithms widely used. In particular, we propose to use nonparametric estimation methods to determine the threshold of the kNNDD algorithm. A simulation study has been conducted to explore the characteristics of the proposed approach and compare it with the existing approach that determines the threshold. The results demonstrate the usefulness and flexibility of the proposed approach.

One-Class Support Vector Learning and Linear Matrix Inequalities

  • Park, Jooyoung;Kim, Jinsung;Lee, Hansung;Park, Daihee
    • 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.

REAL COVERING OF THE GENERALIZED HANKEL-CLIFFORD TRANSFORM OF FOX KERNEL TYPE OF A CLASS OF BOEHMIANS

  • AGARWAL, PRAVEEN;AL-OMARI, S.K.Q.;CHOI, JUNESANG
    • Bulletin of the Korean Mathematical Society
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    • v.52 no.5
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    • pp.1607-1619
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    • 2015
  • We investigate some generalization of a class of Hankel-Clifford transformations having Fox H-function as part of its kernel on a class of Boehmians. The generalized transform is a one-to-one and onto mapping compatible with the classical transform. The inverse Hankel-Clifford transforms are also considered in the sense of Boehmians.