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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.
지하수위 변동 해석모델을 이용한 제주지역의 수리지질 매개변수 민감도 분석
김남원,김윤정,정일문,Kim, Nam Won,Kim, Youn Jung,Chung, Il-Moon 대한토목학회 2014 대한토목학회논문집 Vol.34 No.5
지하수위 변동 해석모델을 이용하여 제주지역의 대수층 수리지질 매개변수인 반응계수와 배수가능공극을 추정하고 고도에 따른 분포특성 및 민감도분석을 실시하였다. 대수층 매질의 특성치인 배수가능공극은 고도에 대해 일정한 경향성을 보이지 않으며 지하수의 흐름 특성치인 반응계수는 고도가 높아질수록 낮아지는 뚜렷한 경향성을 보였다. 매개변수들에 대한 민감도를 알아보기 위해 매개변수의 평균 및 관계식을 이용하여 추정함양량을 비교한 결과, 전 유역(강정천, 외도천, 천미천, 한천)에 대한 매개변수 관계식을 적용하여도 미계측 유역내 매개변수의 추정이 가능할 것으로 판단된다. 따라서 본 연구의 결과를 통해 대표적인 수리지질 매개변수의 분포특성을 파악하여 미계측지역에서 매개변수를 추정함으로써 지하수모델링의 기초자료로도 활용 가능할 것으로 기대한다. In this work, we have carried out a sensitivity analysis of hydrogeologic parameters such as reaction factor and drainable pore space in groundwater table fluctuation model and have found characteristics of parameter distribution according to the altitude. We found that drainable pore space which is hydrogeologic parameter of aquifer didn't show any trend with altitude while reaction factor which is groundwater flow characteristic showed clear trend with altitude. To find a sensitivity of parameters, we compared RMSE of estimated groundwater recharges by using the mean value and linear relationship of parameters. As results, the linear equation derived for entire watersheds could be applied to estimate parameters for ungauged watershed. Furthermore, the features of parameter distribution can be used to predict hydrogeologic parameter in ungauged watersheds and it is expected that those features could be used for a basic data for groundwater modeling.
소산입자동역학과 분자동역학을 이용한 3D 프린터용 PEEK 분말에 대한 온도에 따른 미시적 구조변화에 대한 연구
김남원(Namwon Kim),이태일(Taeil Yi) 한국기계가공학회 2018 한국기계가공학회지 Vol.17 No.5
3D printing technology and its applications have grown rapidly in academia and industry. We consider a 3D printing system designed for the selective laser sintering (SLS) method, which is one of the powder bed fusion (PBF) techniques to build up the final product by layering sintered powder slices. Thermal distortion of printing products is a critical challenge in 3D printing. This study investigates temperature-dependent conformational behaviors of 3D printed samples of sintered poly-ether-ether-ketone (PEEK) powders using molecular dynamics simulations. The wear and chemical resistance properties of PEEK are understood, as it is a well-known biocompatible material used for implants. However, studies on physical phenomena at nanoscale in PEEK are rarely published in public. We simulate dissipative particle dynamics to elucidate how a cavity regime forms in PEEK at different system temperatures. We demonstrate how PEEK structures deform subject to the system temperature distribution.