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김남원(Narnwon Kim),박진수(Jinsoo Park) 한국지능정보시스템학회 2012 지능정보연구 Vol.18 No.1
As the Internet becomes more popular, many people use it to communicate. With the increasing number of personal homepages, blogs, and social network services, people often expose their personal information online. Although the necessity of those services cannot be denied, we should be concerned about the negative aspects such as personal information leakage. Because it is impossible to review all of the past records posted by all of the people, an automatic personal information detection method is strongly required. This study proposes a method to detect or classify online documents that contain personal information by analyzing features that are common to personal information related documents and learning that information based on the Naive Bayes algorithm. To select the document classification algorithm, the Naive Bayes classification algorithm was compared with the Vector Space classification algorithm. The result showed that Naive Bayes reveals more excellent precision, recall, F-measure, and accuracy than Vector Space does. However, the measurement level of the Naive Bayes classification algorithm is still insufficient to apply to the real world. Lewis, a learning algorithm researcher, states that it is important to improve the quality of category features while applying learning algorithms to some specific domain. He proposes a way to incrementally add features that are dependent on related documents and in a step-wise manner. In another experiment, the algorithm learns the additional dependent features thereby reducing the noise of the features. As a result, the latter experiment shows better performance in terms of measurement than the former experiment does.
Design of a back-to-back converter to simulate transient state of renewable sources
김남원(Namwon Kim),김상용(Sang-Yong Kim),이효근(Hyo-Guen Lee),황철상(Chulsang Hwang),김경훈(Gyeong-Hun Kim),서효룡(Hyo-Ryong Seo),박민원(Minwon Park),유인근(In-Keun Yu) 대한전기학회 2010 대한전기학회 학술대회 논문집 Vol.2010 No.7
This paper describes a design of grid-simulator for experiment of transient stability of grid-connected renewable energy system. A transient analysis of renewable energy system has been researched by a simulation, because direct connection of renewable energy system and real utility is dangerous and it is hard to produce the transient grid condition. If a grid-simulator is used in the transient stability experiment, the transient grid condition might be generated easily with reference data and there is no impact on the grid. The grid-simulator composed of a back-to-back converter was designed and simulated with PSCAD/EMTDC to verify its operational characteristics.
Levetiracetam을 복용하는 뇌전증 환자에서 개똥쑥에 의한 발작유발
남원식,권오영,김도형,김민정,강혜훈,정다혜,정희정,손승남,김수경,강희영,박기종,최낙천,임병훈 대한신경과학회 2015 대한신경과학회지 Vol.33 No.1
Artemisia annua is a wormwood. Because it may induce Cytochrome P450 2C19 enzyme, Artemisia annua may have an influence on antiepileptic drugs which are substrates for the enzyme. This influence may negatively affect seizure control of epilepsy patient. We present a patient whose seizures were induced by Artemisia annua, despite he was taking levetiracetam which is not a substrate for the hepatic enzyme. Therefore there would be another mechanism of seizure induction of Artemisia annua besides hepatic metabolism.