• 사상체질의학회지
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• 제14권2호
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• pp.18-24
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• 2002

This research is purposed to find methods of treatment on allergy diseases, through summarizing thought on human and etiology, classification and treatment on diseases proposed in Sasang constitutional medicine 2. Methods of Research It was researched as bibliologically with Dong-mu's chief medical writings such as ${\ulcorner}$Dongyi Soose Bowon(東醫壽世保元)${\lrcorner}$, ${\ulcorner}$Dongyi Soose Bowon Sasang Chobongyun(東醫壽世保元四象草本卷${\lrcorner}$ 3. Results and Conclusions 1. Dong mu thought that human is composed of Heart that inside preserve soul and Body that outside respond to Affairs-Objects. 3. The cause of disease is classified into interior cause and exterior cause. Interior cause could be used in cause of disease, exterior cause could be used in prevention of illness, treatment of disease and preservation of health. 4. The treatment of disease proposed in ${\ulcorner}$Dongyi Soose Bowon Sasang Chobongyun(東醫壽世保元四象草本卷${\lrcorner}$ is that it is to recover 'Essential Qi of Constitution(體質正氣)' by medicine and management of 'Mind-Body(心身)' and that chronic disease is treated chiefly by management but acute disease is treated chiefly by medicine. 5. Allergy disease should be prevented by management of 'Mind-Body(心身)'. but if we suffer from allergy disease, we should treat disease through recovering 'Essential Qi of Constitution(體質正氣)' both medicine and management of 'Mind-Body(心身)'.

• 대한전기학회논문지:전력기술부문A
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• 제51권5호
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• pp.209-216
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• 2002

Recently, there is greater demand for stable supply of electric power as higher level of our living. It becomes the important problem that the cause of fault in power system is found out in early stage, if once it occurs. In this respect, accurate classification of arcing faults in power systems is vitally important. This paper presents a new classification method for arcing faults in power system. To obtain data of various faults including high impedance fault(HIF) and low impedance fault(LIF), HIF model with the ZnO arrester is adopted and implemented within the overall transmission system model based on the electromagnetic transients program(EMTP). Results of phase plane trajectory if Clarke modal transformation using postfault current and voltage are utilized to classify types of arcing faults. The performance of the proposed method is tested on a typical 154 kV korean transmission system under various fault conditions. As can be seen from results, phase plane trajectory of postfault current should be combined with that of o component from Clarke modal transformation to give reliability of clear fault classification. Thus the proposed method can classify arcing faults including LIFs and HIFs accurately in power systems.

• ETRI Journal
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• 제33권2호
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• pp.210-218
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• 2011

Battiti's mutual information feature selector (MIFS) and its variant algorithms are used for many classification applications. Since they ignore feature synergy, MIFS and its variants may cause a big bias when features are combined to cooperate together. Besides, MIFS and its variants estimate feature redundancy regardless of the corresponding classification task. In this paper, we propose an automated greedy feature selection algorithm called conditional mutual information-based feature selection (CMIFS). Based on the link between interaction information and conditional mutual information, CMIFS takes account of both redundancy and synergy interactions of features and identifies discriminative features. In addition, CMIFS combines feature redundancy evaluation with classification tasks. It can decrease the probability of mistaking important features as redundant features in searching process. The experimental results show that CMIFS can achieve higher best-classification-accuracy than MIFS and its variants, with the same or less (nearly 50%) number of features.

• 정보보호학회논문지
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• 제28권6호
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• pp.1499-1508
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• 2018

빠른 속도로 성장하고 있는 전자상거래 시장이 기업들에게 고객층을 넓혀나갈 좋은 기회를 제공하고 있는 반면에 블랙컨슈머로 인한 기업들의 피해 사례 또한 늘어나고 있다. 본 연구는 전자상거래 고객 데이터를 통해 전자상거래상의 블랙컨슈머를 탐지해내는 머신 러닝 모델을 구축하고 최적화하는 것을 목표로 한다. Feature selection의 filter method와 4개의 classification 알고리즘을 이용한 실험을 통해 F-measure 0.667의 정확도로 블랙컨슈머를 탐지하는 모델을 구축하였으며 F-measure에서 11.44%, AURC에서 10.51%, TPR에서 22.87%의 성능 향상을 확인 할 수 있었다.

• 한국안전학회지
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• 제33권6호
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• pp.128-135
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• 2018

Currently, the government selects products that are likely to cause harm to consumers as safety management targets and classifies them into three types: safety certification, safety confirmation, and supplier conformity verification. In addition, the government conducts safety surveys on products in circulation or accident products, and recalls products that are of great concern to consumer risks. In this paper, we have developed RAP (Risk Assessment method based on Probability), which is a probability based product risk assessment method, for the classification of safety management type of product and safety investigation, and have shown an application example. In this process, information is used for the CISS (Consumer Injury Surveillance System) of the Korean Consumer Agency. In addition, we apply the cluster analysis to classify the current supervised children products into three groups. Then, we confirm the effectiveness of RAP by comparing the result of RAP application, cluster analysis result and current safety management classification type. Also, we recognize the need to review the current safety management classification criteria for classifying products into three types.

• 전기전자학회논문지
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• 제25권1호
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• pp.212-217
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• 2021

Premature contraction arrhythmia is the most common disease among arrhythmia and it may cause serious situations such as ventricular fibrillation and ventricular tachycardia. Most of arrhythmia clasification methods have been developed with the primary objective of the high detection performance without taking into account the computational complexity. Also, personalized difference of ECG signal exist, performance degradation occurs because of carrying out diagnosis by general classification rule. Therefore it is necessary to design efficient method that classifies arrhythmia by analyzing the persons's physical condition and decreases computational cost by accurately detecting minimal feature point based on only QRS features. We propose method for personalized specific classification of premature contraction arrhythmia based on QRS features in smart healthcare environments. For this purpose, we detected R wave through the preprocessing method and SOM and selected abnormal signal sets.. Also, we developed algorithm to classify premature contraction arrhythmia using QRS pattern, RR interval, threshold for amplitude of R wave. The performance of R wave detection, Premature ventricular contraction classification is evaluated by using of MIT-BIH arrhythmia database that included over 30 PVC(Premature Ventricular Contraction) and PAC(Premature Atrial Contraction). The achieved scores indicate the average of 98.24% in R wave detection and the rate of 97.31% in Premature ventricular contraction classification.

• 대한한의학원전학회지
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• 제28권1호
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• pp.35-53
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• 2015

Objectives : In order to find how reference books of Yi Xue Ru Men reflect the classification and criterion for low back pain(LBP). Methods : From reference books of Yi Xue Ru Men, select the texts on classification and criterion for LBP. Results : According to the causes of LBP, Chao Yuan Fang(巢元方) in Sui Dynasty assorted to 5 types of LBP at the very first. Chen Wu Ze(陳無擇) in Song Dynasty made 7 divisions by external, internal, and non-external, non-internal causes. According to the pulse of LBP, Yan Yong He(嚴用和) first categorized 4 groups, Zhu Zhen Heng(朱震亨) added another 4 groups. Aside from this standard, Zhu(朱震亨) adopted the cause standard. Depending on Yunqi(運氣), Lou Ying(樓英) classified 5 types. But his classification had been not adopted by any TCM books. According to symptom of 6 varieties(六變), Zhang Jie Bin(張介賓) assorted external(表), internal(裏), deficiency(虛), sufficiency(實), cold(寒) and heat(熱), add 2 groups besides them. But his categorization did not reflect Yi Xue Ru Men. Li Chan(李梴), the author of this book chose causes and pulse classification standards that Zhu Zhen Heng had adopt. Conclusions : In the side of classification and criterion for LBP, Li Chan first divided 2 group, external and internal injury. After it he subdivided both groups to 10 subgroup. His classification is similar to Chen(陳無擇)'s, but actually followed the classification for external and internal injury that was invented by Li Dong Yuan(李東垣).

• 한국컴퓨터정보학회논문지
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• 제10권5호
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• pp.133-140
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• 2005

출입 보안 시스템에서 과다한 이벤트 발생으로 인해 네트워크가 마비되는 경우가 종종 발생된다. 이때 이벤트 발생 원인을 분석하고 이를 대처하기 위해서는 많은 시간이 소요되며 그 시간동안 ACU와 출입보안 서버와의 연결이 끊어지게 되어 출입 현황 및 출입자 정보의 갱신 등을 실시간으로 처리할 수 없게 된다. 본 논문에서는 이벤트에 의한 정보폭주를 방지하기 위하여 분류알고리즘을 제안하였다.

• 응용통계연구
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• 제25권4호
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• pp.589-603
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• 2012

Mahalanobis-Taguchi system(MTS) is a statistical tool for classifying the normal group and abnormal group in multivariate data structures. In addition to the classification itself, the MTS uses a method for selecting variables useful for the classification. This method can be used efficiently especially when the abnormal group data are scattered without a specific directionality. When the feedback adjustment procedure through the measurements of the process output for controlling process input variables is not practically possible, the reset procedure can be an alternative one. This article proposes a reset procedure using the MTS. Moreover, a method for identifying input variables to reset is also proposed by the use of the contribution. The identification of the root-cause parameters using the existing dimension-reduced contribution tends to be difficult due to the variety of correlation relationships of multivariate data structures. However, it became possible to provide an improved decision when used together with the location-centered contribution and the individual-parameter contribution.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2008년도 춘계학술대회 논문집
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• pp.1518-1523
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• 2008

Train collision and derailment are types of accident with low probability of occurrence, but they could lead to disastrous consequences including loss of lives and properties. The development of the risk assessment model has been called upon to predict and assess the risk for a long time. Nevertheless, the risk assessment model is recently introduced to the railway system in Korea. The classification of the hazardous events and causes is the commencement of the risk assessment model. In previous researches related to the classification, the hazardous events and causes were classified by centering the results. That classification was simple, but might not show the root cause of the hazardous events. This study has classified the train collision and derailment based on the relevant hazardous event including faults of the train related the accidents, and investigates the causes related to the hazardous events. For the risk assessment model, FTA (fault tree analysis) and ETA (event tree analysis) methods are introduced to assess the risk.