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박필원,민성기 아이씨티플랫폼학회 2016 JOURNAL OF PLATFORM TECHNOLOGY Vol.4 No.2
NEMO is a mobility management theory for processing large scale handovers. It was proposed on the basis of Mobile IP but various research was done to make it possible to utilize in various environments. SDN is a network in which the program with the control plane and data plane separated is possible, and it is a network structure that conducts centralized management. OMM, a variation of the PMIPv6 to suit the SDN environment, was made to operate over the controller after regarding management functions as one application. This paper proposes a large scale handover processing theory that applies the NEMO technique in an OMM environment. WThrough this, we propose processing collective handovers by processing MN’s collective handovers as network topology changes in SDN environments. Furthermore, the proposed theory reduced overheads. Also, the fundamental SDN structure was kept and more efficient data forwarding was made possible by utilizing the technique used in OMM.
알레르기성 비염환자에 있어서의 Methacholine 검사에 관한 연구
박필원,정영,홍천수,허갑범,이원영,이상용 대한천식알레르기학회 1981 천식 및 알레르기 Vol.1 No.2
We studied methacholine challenge response in 29 patients with allergic rhinitis. Fourteen wer males and 15 females with ages from 16 to 52(mea n 32. 5) years. The perennial symptom was noted I n 14 and season a l symptom I n 3. The symptom ur st ion was less than 1 year in 12, 1 to 5 years in I and more than 5 years in 5. Using CPI 5, 000 II Pulmol ab System, the FEV, and FEF:, were measured 5 minutes after 5 inh a lations cf saline and methacholine solution(25mg/ml) with nebulizer Devilbiss No. 14 after initi al baseline Pulmonary function tests. The challenges of methacholi ae were repeated 4 times more (Total 25 inhalatio ns) in maximum except for the patiente resulting severe respiratory distress. The results obt aine d were as follow: The patient s of methacholine response(% fall of FEV,>15 %) could be divided into 4 gro ups. (Fig. 2) a) Group I (9 pstients): No response b) Group II (10 paitents): Response to large does (20 - 25 inhalations) c) Group g ( 5 pstients): Response to medium dose (5- 1 5 inhalations) with plsteau slope on further challenges. D) Group III (5 patients): Response to small dose with severe pulmonary distress on further challenges 2. In genersl the % fall of FEF,In methacholine challenge was more marked than that of FEV,. The 7 fall of FEF In Group II was earlier and more marked than that of FEV,. (Fig. 3) 3 , There was not significant difference in the age of onset, symptom dur ation, total eosinophil counts, serum IgE(PRIST) and the findi ngs af sputum eosin ephils between groups. 4. Response to rnethacholine challenge was more significantly remarkable in pati ents with chest symptoms. All patients I n Group IV had dyspnea cf some degree but none in Group I.
항생제에 대한 세균학적 감수성시험방법에 관한 비교실험 : Tetracycline , Neomycin 및 Colistin
박필원,김영자 대한미생물학회 1974 大韓微生物學會誌 Vol.9 No.1
A comparative study was performed with 176 cultures of Salmonella organisms on tetracyline, neomycin and colistin in order to find out the re1ationship between the results obtaiaed from the Ericssons single disk method and the tube dilution method of antibiotie sensitivity tests which may be carried out in many hospital laboratories. With tetracycline, thirty-three out of 163 cultures of Salmonella typhi were found to be either sensitive or moderate sensitive by meaas of the disk method and thirty one (ca 94%) out of the thirty three cultures showed less than I. 0㎍ of the Minimal Iahibitory Concentretions (MIC) in the tubedilution tesis, which mean that there were a quite good agreement between the two methods. With neomycin, a hundred and five out of 163 S.typhi werc appeared to be either sensitive or moderate sensitive by means of Ericssons single disk method, among which 103 cultures showed less than 10. 0 ㎍ MIC in the tubedilution method. And also there was a quite correlative pet- terns observed in theesult of testing with 13 salmoaella cultures other than S. typhi. With colistin, it was hard to observe any particular tendency in the distribution of plotting for 148 cultures showing less the 18 mm is the inhibiting zone diameters between MIC and disk sensitivity patterns except the fifteen, cultures out of 176 salmanella, which appeared to be sensitive in the single disk method and showed less than 1. 0㎍ MIC in the tube dilution method.
박필원,한성수 아이씨티플랫폼학회 2021 JOURNAL OF PLATFORM TECHNOLOGY Vol.9 No.4
현재 개발중인 그리고 운행중인 대부분의 자동차에는 다양한 IoT 센서들이 탑재되어 있지만, 자동차 사고를 일으키는 요인 중 몇몇 요인들은 상대적으로 탐지하기 힘들다. 이러한 요소 중 대표적인 위험 요인 중 하나가 블랙 아이스이다. 블랙 아이스는 블랙 아이스가 깔린 부분을 지나가는 모든 차량에 영향을 줄 수 있어 대형 사고를 유발할 가능성이 가장 높은 요인 중 하나이다. 따라서 대형 사고를 막기 위해 블랙 아이스 검출 기법은 꼭 필요하다. 이를 위해 몇몇 연구가 과거 진행되었으나 몇몇 부분에서 현실적이지 않는 요소들이 반영된 경우가 있어, 이를 보충하기 위한 연구가 필요하다. 본 논문에서는 CNN 기법으로 컬러 이미지를 분석하여 블랙 아이스를 탐지하고자 하였으며, 일정 수준의 블랙 아이스 탐지에 성공하였다. 다만 기존 연구 와 차이가 있어 그 이유를 분석하였다.
全鍾暉,朴弼遠 대한감염학회 1970 감염 Vol.2 No.1
유행성출혈열 중에서도 한국형은 극동형출혈옆에 속하여 있고 현시에 있어서도 환자발생수가 많고 치명율이 높은 점에서 또 더욱이 병원체나 그 전염경로, 또는 매개충들이 아직 구명되지못한 사실들로서 의학계의 주목을 끌고 있다.
소나 시스템을 이용한 해저 물체에 대한 AI모델의 탐지성능 분석
박필원(Pill-Won,Park),고대식(DAE-SIK,KO) 한국정보기술학회 2022 Proceedings of KIIT Conference Vol.2022 No.12
SONAR(Sound Navigation and Ranging)는 해양 정보 수집의 기초 도구이며, 해양 자산 및 환경 조사, 표적 및 물체 인식 등에 사용되고 있다. 하지만 소나로 얻은 데이터의 분석은 사용자의 능력에 의존하는 경우가 많으며, 이러한 상황을 타개하기 위하여 소나 데이터를 AI 머신러닝 기능을 통해 분석하는 것이 바람직하다고 판단하였다. 본 논문에서는 소나의 데이터를 다양한 머신러닝 알고리즘과 하이퍼 파라미터 조정을 통해 각 단계들이 머신러닝 모델의 성능에 미치는 영향을 분석하였다. 그 결과 알고리즘의 변경에 따라 1%~46%, 하이퍼 파라미터 조정을 통해 7%~29%의 성능 향상을 확인하였다. SONAR (Sound Navigation and Ranging) is a basic tool for collecting marine information, and is used for marine asset and environmental research, target and object recognition, and the like. However, the analysis of data obtained by sonar often depends on the users ability, and in order to overcome this situation, it was decided that it is desirable to analyze sonar data through AI machine learning function. In this paper, we analyzed the effect of each stage on the performance of the machine learning model through various machine learning algorithms and hyperparameter adjustments on the sonar data. As a result, it was confirmed that the performance improved by 1%~46% according to the change of the algorithm, and 7%~29% through the hyperparameter adjustment.