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유승영,손용하,정현도,윤병규,곽채수,이주형 한국공업화학회 2020 한국공업화학회 연구논문 초록집 Vol.2020 No.-
Electrically conductive inks for additive manufacturing or “3D printing” have received substantial attention in the past few years in various printed electronics applications. Here, we perform a formulation study on development of a light-weight electrically conductive copper (Cu)-bee pollen composite ink for 3D printing. Addition of naturally occurring bee pollen microparticles to an aqueous Cu suspension reduces the overall density of final extruded structure yet increases the suspension strength. Emulsification of the aqueous suspension ink with a fast evaporating oil phase significantly reduces the sample yield strength, by which the rheological ink processability is much improved while the particle percolation in the continuous phase is maintained. Furthermore, the final extruded structure of ink in the form of emulsion has much lower density due to the increased porosity as a consequence of oil evaporation.
유승영(SeungYeong Yoo),이든(Deun Lee),김소연(SoYeon Kim),김유경(YuGyeong Kim),최선오(SunOh Choi),유철중(CheolJung Yoo) 한국정보기술학회 2022 Proceedings of KIIT Conference Vol.2022 No.6
기존의 보이스피싱 범죄는 감소하고 있지만, 최근 메신저 피싱으로 전환되어 그 피해가 매년 급증하고 있다. 메신저 피싱의 81%는 카카오톡을 통해 발생했지만 아직까지 사용자의 주의만 당부할 뿐 실효성 있는 대책은 부족하다. 따라서 본 논문에서는 사전 학습된 AI 기반 피싱 예측 모델을 통해 메신저 피싱 여부를 예측하여 피해를 예방하는 서비스를 제안한다. 한국어 자연어 처리를 위해 딥러닝 모델 학습에 RNN을 개선한 LSTM을 사용하여 피싱 예측에서 높은 정확도를 보였고 사용자 안드로이드 화면에 실시간으로 경고 팝업을 나타내었다. 이를 바탕으로 새로운 유형의 피싱에 빠르게 대응할 수 있기를 기대한다. Conventional voice phishing crimes are on the decline, but recently it has been coverted to messenger phishing and the damage is increasing rapidly every year. 81% of messenger phishing committed through KakaoTalk, but it still only asks users to be careful, but lacks effective measures. Therefore, in this paper we propose a service that prevents damage by predicting messenger phishing through a pre-learned AI-based phishing prediction model. The deep learning model using LSTM that improved RNN showed high accuracy in phishing predictions and displayed warning pop-ups on user’s Android screen in real time. Based on this, we expect to be able to respond quickly to new types of phishing.
유승영(S.Y Yoo),성형건(H.G. Sung),장진성(J.S. Jang),노태성(T.S. Roh) 한국전산유체공학회 2011 한국전산유체공학회 학술대회논문집 Vol.2011 No.5
Pressure drops of two-phase flow in a pipe according to particle shapes have been calculated and analyzed. The numerical analysis for 3 cases of Reynolds number has been conducted for each particle shape. In case of the cylinder shape, the particles had been assumed to be randomly distributed for each Reynolds number. The results haw been averaged and compared to those of the case of the ball shape. Additionally, pressure drops of ball and cylinder shapes has been compared to the result of Ergun’s equation.
독립형 DC 마이크로그리드에 적용 가능한 BESS의 SoC를 기반으로 한 새로운 출력전압 제어기법
유승영(Seung-Yeong Yu),김현준(Hyun-Jun Kim),한병문(Byung-Moon Han) 대한전기학회 2016 전기학회논문지 Vol.65 No.7
This paper proposes a new output voltage control scheme based on the SoC variation of the battery energy storage system (BESS) applicable for the stand-alone DC microgrid. The proposed control scheme provides relatively lower variation of the DC grid voltage than the conventional droop method. The performance of proposed control scheme was verified through computer simulations for a typical stand-alone DC microgrid which consists of BESS, photo-voltaic (PV) panel, engine generator (EG), and DC load. A scaled hardware prototype for the stand-alone DC microgrid with DSP controller was set up in the lab, and the proposed control algorithm was installed in the DSP controller. The test results were compared with the simulation results for performance verification and actual system implementation.