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이한성,임영희,박주영,박대희,Lee, Han-Sung,Im, Young-Hee,Park, Joo-Young,Park, Dai-Hee 한국지능시스템학회 2003 한국지능시스템학회논문지 Vol.12 No.2
본 논문에서는 클러스터링을 기반으로 하는 새로운 침입탐지 알고리즘인 Kernel-ART를 제안한다. Kernel-ART는 개념벡터(concept vector)와 SVM(support vector machine)의 머서 커널(mercer-kernel)을 온라인 클러스터링 알고리즘인 ART(adaptive resonance theory)에 접목시킨 새로운 알고리즘으로서 교사학습 기반 침입탐지 시스템의 단점을 극복할 뿐만 아니라, 클러스터링 기반 침입탐지 시스템에서 요구되는 모든 평가 기준들을 만족한다. 본 논문에서 제안하는 알고리즘은 클러스터를 점증적으로 생성함으로써 여러 가지 다양한 침입 유형들을 실시간으로 탐지할 수 있다. In this paper, we propose a new adaptive intrusion detection algorithm based on clustering: Kernel-ART, which is composed of the on-line clustering algorithm, ART (adaptive resonance theory), combining with mercer-kernel and concept vector. Kernel-ART is not only satisfying all desirable characteristics in the context of clustering-based IDS but also alleviating drawbacks associated with the supervised learning IDS. It is able to detect various types of intrusions in real-time by means of generating clusters incrementally.
이한성(Han-Sung Lee),정윤희(Yun-Hee Jeong),정세훈(Se-Hoon Jung) 한국전자통신학회 2024 한국전자통신학회 논문지 Vol.19 No.1
기계학습 기반의 침입탐지 방법론들은 분류하고자 하는 각 클래스에 대해 균등한 많은 학습 데이터가 필요하며, 탐지 또는 분류하려는 공격유형의 추가 시 시스템을 모두 재학습해야 하는 문제점을 가지고 있다. 본 논문에서는 특징학습과 계층분류 방법을 이용하여, 비교적 적은 학습 데이터를 이용한 분류 문제 및 데이터 불균형 문제를 해결하고, 새로운 공격유형의 추가가 쉬운 침입탐지 방법론을 제안하고자 한다. 제안된 시스템은 KDD 침입탐지 데이터를 이용한 실험으로 가능성을 검증하였다. Machine learning-based intrusion detection methodologies require a large amount of uniform learning data for each class to be classified, and have the problem of having to retrain the entire system when adding an attack type to be detected or classified. In this paper, we use feature learning and hierarchical classification methods to solve classification problems and data imbalance problems using relatively little training data, and propose an intrusion detection methodology that makes it easy to add new attack types. The feasibility of the proposed system was verified through experiments using KDD IDS data.
三焦의 ‘協關系’ 관점에서 본 側頭下顎關節에 대한 고찰
이한성(Han-Sung Lee),이영준(Young-Jun Lee),이종수(Jong-soo Lee) 척추신경추나의학회 2005 대한추나의학회지 Vol.6 No.1
Objectives : The aim of this study was to try to embody the method of treating Tempromandibular Joint Disorder in Oriental Medicine. Methods : I had researched anatomic features and functions of TMJ, causes and symptoms of TMD and reviewed classic medical books in Oriental Medicine on Sanjiao. Then, I tried to interpret the disorder in the point of Sanjiao s Cooperative Relationship . Results and Conclusions : 1. Symptoms of TMD is not limited at TMJ and spread in whole body by circulation of Sanjiaojing. 2. Sanjiao is a invisible organ to control the general physical functions as Cooperative Relationship . 3. It is a clue in improving the symptoms of TMD to regulate Sanjiao-jing-qi and balance the Yin-Yang
뇌졸중환자(腦卒中患者)의 기능회부(機能回復)에 있어 동씨침혈위(董氏鍼穴位)와 체침혈위(體鍼穴位)에 가한 전침자극(電鍼刺戟)의 효과(效果) 비교(比較)
이한성 ( Han Sung Lee ),이종수 ( Jong Soo Lee ),김성수 ( Sung Soo Kim ) 한방재활의학과학회 2005 한방재활의학과학회지 Vol.15 No.4
Objectives : he aim of this study was to investigate difference between the effect of an electroacupuncture at Dong-si acupoint and an electroacupuncture t body acupoint for patients after acute stroke. ethods : lectroacupuncture therapy at 8 selected Dong-si acupoints was applied to five stroke-originated hemiplegic patients(sample group) or 2 weeks. 5 other hemiplegic patients had been treated with Electroacupuncture therapy 8 body acupoints during same period. he examiner assessed muscle power by Manual Muscle Test and dynamometer, ADLs by modified Barthel index(MBI), and motor function by Fugl-Meyer Score(FMS). Results : In general, some significantly effective results were yielded within one group improvements on Muscle Power, MBI, FMS. However, scores on each scale did not show significantly meaningful differences between sample and control group. Conclusions : Electroacupuncture stimulated at Dong-si acupoints does not have the more significant effectiveness than electroacupuncture stimulated at body acupoints in patients after acute stroke.
이한성(Lee, Han Sung),박순희,정선옥 한국모델콘텐츠학회 2021 한국모델콘텐츠학회지 Vol.2 No.2
This study is based on the Multidimensional Inventory of Perfectionism in Sport (MIPS) scale of Stoeber, Otto, & Stoll (2004). F) was produced. After that, a procedure was carried out to verify the validity of the Multidimensional Perfectionism Scale (MIPS-F) of a fashion model. First, a question-and-answer session between investigators and researchers for 61 fashion models, and a meeting between researchers , face validity and content validity were secured through descriptive statistics Second, in this survey of 125 fashion models, exploratory factor analysis, Confirmatory factor analysis and multiple regression analysis were performed to confirm content validity, construct validity, and predictive validity. The validity of 10 items of the 2 factors of the perfectionism scale (MIPS-F) (pursuit of perfection, negative responses to imperfections) was confirmed, and through this study, the validity of the fashion model multidimensional perfectionism scale (MIPS-F) was confirmed. It was confirmed that the future behavior of various fashion models according to applicability and job burnout can be predicted. 이 연구는 Stoeber, Otto, & Stoll(2004)의 스포츠 다차원적 완벽주의(Multidimensional Inventory of Perfectionism in Sport: MIPS) 척도에 기초하여 패션모델들에게 적용 가능한 패션모델 다차원 완벽주의 척도 예비문항(MIPS-F)을 제작하였다. 이후 패션모델 다차원 완벽주의 척도(MIPS-F) 타당화 검증을 위한 절차가 이루어졌다. 구체적 절차로 첫째, 패션모델 61명을 대상으로 조사자와 연구자간의 질의응답, 연구자간 회의, 기술통계(Descriptive Statistics)를 통하여 안면타당도(Face Validity) 및 내용타당도(Content Validity)를 확보하였다. 둘째, 패션모델 125명을 대상으로 한 본 조사에서 , 탐색적 요인분석(Exploratory Factor Analysis), 확인적 요인분석(Confirmatory Factor Analysis), 다중회귀분석(Multiple Regression Analysis)을 실시하여 내용타당도(Content Validity), 구인타당도(Construct Validity), 예측타당도(Predictive Validity)를 확인하였다. 결과적으로 패션모델 다차원 완벽주의 척도(MIPS-F)의 2요인(완벽추구, 불완벽에 대한 부정적 반응) 10문항은 타당성을 확인할 수 있었으며, 이 연구를 통해 패션모델 다차원 완벽주의 척도(MIPS-F)의 패션모델에게 적용 가능성과 직무소진 등에 따른 다양한 패션모델의 미래행동을 예측할 수 있음을 확인하였다.