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김기범,홍성출,김민호,정경락,이삼철,Kim K.B.,Hong S C.,Kim M.H.,Jheong G.R.,Lee S.C. 대한의용생체공학회 2000 의공학회지 Vol.21 No.3
본 연구에서는 새롭게 설계한 인공폐 모듈을 사용하여 인공폐의 효율을 평가하기 위한 압력손실과 산소전달에 대한 실험을 수행하였다. 또한 증류수, 아황산나트륨용액을 혈액대용물질로 사용하여 다른 인공폐의 성능을 평가하였다. 혈액대용물질은 압력손실과 산소운반력을 연구하는데 전혈(whole blood)에 비해 장점이 많다 즉. 이들은 상대적으로 값이 저렴하고 조절하여야 할 변수가 적다. 또한 이 용액을 사용하게 되면 탈산화장치가 필요 없으며 실험결과의 분석이 상대적으로 쉽다. 전혈과 같은 산소분압을 갖는 아황산나트륨용액을 사용하는 경우 아황산나트륨 용액의 산소전달속도는 전혈을 사용하는 경우의 산소전달속도와 거의 일치하였다. 이 실험에서 중공사모듈의 산소전달속도를 측정하는데 아황산나트륨용액이 혈액대용물질로 이용될 수 있음을 보였다. 이 인공폐 모듈에서는 용액이 중공사의 바깥쪽으로 흐르도록 설계하였는데 이 실험용 인공폐는 압력손실이 안쪽으로 흐르도록 하는 흐름에 비해 $1/3\~1/6$였다. In this paper a newly designed oxygenator module was used to perform the experiments for pressure drop and oxygen transport in order to evaluate the efficiency of the artificial lung. Also, distilled water. sodium sulfite solutions used in this experiment were evaluated for the performance of other artificial lungs. Substituted bloods have many advantages over whole blood in studying pressure drop and oxygen uptake. They are relatively inexpensive, and require fewer variables to be controlled. Furthermore, deoxygenation is not necessary when those solutions are used. In addition to these advantages. assays and interpretation of the experimental results are relatively easy. In the case of using the sodium sulfite solution having the same oxygen partial pressure as whole blood. the oxygen transfer rate of the sodium sulfite solution was basically same as that of whole blood. It was concluded in evaluating the function of artificial lungs that the sodium sulfite solution was suited for measuring oxygen transfer rate. In our module, artificial blood was flowed into the outside of hollow fiber membrane. The artificial lung created in this experiment showed that pressure drop was reduced to $1/3\~1/6$ of that compared to the inside-flow case.
전기방전소결을 이용한 Ti-Ni-Zr 준 결정상의 상변화 연구와 Ti, W 다공체 제작
조재영,송기안,이민하,이효수,이원희,김기범,Cho, J.Y.,Song, G.A.,Lee, M.H.,Lee, H.S.,Lee, W.H.,Kim, K.B. 한국분말야금학회 2011 한국분말재료학회지 (KPMI) Vol.18 No.2
Electro-Discharge Sintering (EDS) employs a high-voltage/high-current-density pulse of electrical energy, discharged from a capacitor bank, to instantaneously consolidate powders. In the present study, a single pulse of 0.57-1.1 kJ/0.45 g-atomized spherical $Ti_{52}Zr_{28}Ni_{20}$ powders in size range of 10~30 and $30\sim50{\mu}m$ consisting of ${\beta}$-(Ti, Zr) and icosahedral phases were applied to examine the structural evolution of icosahedral phase during EDS. Structural investigation reveals that high electrical input energy facilitates complete decomposition of icosahedral phase into C14 laves and ${\beta}$-(Ti, Zr) phases. Moreover, critical input energy inducing decomposition of the icosahedral phase during EDS depends on the size of the powder. Porous Ti and W compacts have been fabricated by EDS using rectangular and spherical powders upon various input energy at a constant capacitance of $450{\mu}F$ in order to verify influence of powder shape on microstructure of porous compacts. Besides, generated heat (${\Delta}H$) during EDS, which is measured by an oscilloscope, is closely correlated with powder size.
CNN Mobile Net 기반 악성코드 탐지 모델에서의 학습 데이터 크기와 검출 정확도의 상관관계 분석
최동준,이재우 한국융합보안학회 2020 융합보안 논문지 Vol.20 No.3
At the present stage of the fourth industrial revolution, machine learning and artificial intelligence technologies are rapidly developing, and there is a movement to apply machine learning technology in the security field. Malicious code, including new and transformed, generates an average of 390,000 a day worldwide. Statistics show that security companies ignore or miss 31 percent of alarms. As many malicious codes are generated, it is becoming difficult for humans to detect all malicious codes. As a result, research on the detection of malware and network intrusion events through machine learning is being actively conducted in academia and industry. In international conferences and journals, research on security data analysis using deep learning, a field of machine learning, is presented. have. However, these papers focus on detection accuracy and modify several parameters to improve detection accuracy but do not consider the ratio of dataset. Therefore, this paper aims to reduce the cost and resources of many machine learning research by finding the ratio of dataset that can derive the highest detection accuracy in CNN Mobile net-based malware detection model. 현재 4차 산업혁명을 맞이하여 머신러닝과 인공지능 기술이 급속도로 발전하고 있으며 보안 분야에서도 머신러닝 기술을 응용하려는 움직임이 있다. 많은 악성코드가 생성됨에 따라 사람의 힘으로는 모든 악성코드를 탐지하기 어려워지고 있기 때문이다. 이에 따라 학계와 산업계에서는 머신러닝을 통해 악성코드나 네트워크 침입 이벤트를 탐지하는 것에 관한 연구가 활발히 진행되고 있으며 국제 학회와 저널에서는 머신러닝의 한 분야인 딥러닝을 이용한 보안데이터 분석 연구가 논문 발표되고 있다. 그러나 해당 논문들은 검출 정확도에 초점이 맞추어져 있고 검출 정확도를 높이기 위해 여러 파라미터들을 수정하지만 Dataset의 개수를 고려하지 않고 있다. 따라서 본 논문에서는 CNN Mobile net 기반 악성코드 탐지 모델에서 가장 높은 검출 정확도를 도출할 수 있는 Dataset의 개수을 찾아내어 많은 머신러닝 연구 진행에 비용과 리소스를 줄이고자 한다.
김기범(G. B. Kim),정우석(W. S. Chong),권대규(T. K. Kwon),김남균(N. G. Kim),홍철운(C. U. Hong) 한국정밀공학회 2004 한국정밀공학회 학술발표대회 논문집 Vol.2004 No.10월
The purpose of this study is measured surface acoustic wave(SAW) characteristics to confirm utilization possibility as SAW sensor using new Pb(Mg<SUB>1/3</SUB>Nb<SUB>2/3</SUB>) O3-PbTiO3 (PMN-PT) piezoelectric substrate. We have tried to see if the material can be practically available as a new surface acoustic wave (SAW) biosensor to detect protein. The experimental results clarified that the frequency filtering of the central frequency of the PMN-PT substrate is a superior result to that of the LiTaO3 (LT) substrate, but the result was not completely satisfactory. We know there is a problem in the design of inter-digital transducer (IDT) pattern. The waves transferred through the input terminal forms SAW which is sure to be transferred to the direction of the output terminal and the backward direction of the input terminal. This reflected wave is reiterated with SAW, which is transferred to the output direction, and so the frequency filtering gives a not good result. The electromechanical coupling coefficient of the PMN-PT substrate is excellent, and we can use it as a SAW sensor, in the near future, provided that there will be a new IDT design to increase the frequency filtering.