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BRIEF REPORTS ON KAISTSAT-4 MISSION ANALYSIS
J. Seon,K. I. Seon,S. H. Kim,K. W. Min,B. J. Kim,R. C. K. Yong,L. F. Leong,H. J. Chun,H. S. Chang,H. S. Kim,J. S. Bae,Y. W. Choi,S. R. LEE,Y. H. Shin,K. S. Ryu,J. J. Lee,D. H. Lee,D. J. Park 한국우주과학회 2000 Journal of Astronomy and Space Sciences Vol.17 No.2
U. Yong(용의중),D. Kim(김동환),H. Kim(김호중),D. G. Hwang(황동규),S. Cho(조성건),H. Nam(남효영),S. Kim(김세진),T. Y. Kim(김태영),U. Jeong(정운룡),K. Kim(김기훈),W. K. Chung(정완균),W. H. Yeo(여운홍),J. Jang(장진아) Korean Society for Precision Engineering 2021 한국정밀공학회 학술발표대회 논문집 Vol.2021 No.11월
Over the years, engineered heart tissue (EHT), composed of cardiac cells and a hydrogel, has been considered as a promising in-vitro cardiac model in that it can reproduce the physiological contractions of an actual animal heart. In particular, the contractile force of EHT is one of the representative factors to evaluate drug-induced cardiotoxicity that is a major cause of the withdrawal of drug development. Although there have been a lot of methods to monitor the contractile force of the EHT, most of them are based on optical readout systems that have to process a huge amount of image data. Recently, a strain gauge-based microphysiological system was developed to monitor the contractile force of a laminar cardiac tissue, which can acquire real-time data with a relatively small amount of data. However, the system can monitor only few layers of cardiomyocytes, which are physiologically less relevant environment compared to EHT. Here, we developed a hybrid bioprinted tissue platform, consisting of six bipillar-grafted strain gauges (BPSGs) and one wireless device, that enables online monitoring of the contractile forces from 6 different EHTs in real time during culturing. Furthermore, we confirmed that our system can detect the effects of commercially available drugs on EHTs.
Deep Learning Based Tree Recognition rate improving Method for Elementary and Middle School Learning
Jung-Eun Choi(최정은),Hwan-Seung Yong(용환승) 한국컴퓨터정보학회 2019 韓國컴퓨터情報學會論文誌 Vol.24 No.12
본 연구의 목적은 수업 시 스마트기기에 적용할 수 있는 나무 이미지를 인식하고 분류하여 정확도를 측정할 수 있는 효율적인 모델을 제안하는 것이다. 2015개정 교육과정으로 개정되면서 초등학교 4학년 과학교과서의 학습 목표에서 스마트 기기 사용한 식물 인식이 새롭게 추가 되었다. 특히 나무 인식의 경우 다른 사물 인식과 달리 수형, 수피, 잎, 꽃, 열매의 부위별 특징이 있으며, 계절에 따라 모양 및 색깔의 변화를 거치므로 인식률에 차이가 존재한다. 그러므로 본 연구를 통해 컨볼루션 신경망 기반의 사전 학습된 인셉션V3모델을 이용하여 재학습 전 후의 나무 부위별 인식률을 비교한다. 또한 각 나무의 유형별 이미지 정확도를 결합시키는 방식을 통해 효율적인 나무 분류 방안을 제시하며 교육현장에서 사용하는 스마트기기에 적용 할 수 있을 것이라 기대한다. The goal of this study is to propose an efficient model for recognizing and classifying tree images to measure the accuracy that can be applied to smart devices during class. From the 2009 revised textbook to the 2015 revised textbook, the learning objective to the fourth-grade science textbook of elementary schools was added to the plant recognition utilizing smart devices. In this study, we compared the recognition rates of trees before and after retraining using a pre-trained inception V3 model, which is the support of the Google Inception V3. In terms of tree recognition, it can distinguish several features, including shapes, bark, leaves, flowers, and fruits that may lead to the recognition rate. Furthermore, if all the leaves of trees may fall during winter, it may challenge to identify the type of tree, as only the bark of the tree will remain some leaves. Therefore, the effective tree classification model is presented through the combination of the images by tree type and the method of combining the model for the accuracy of each tree type. I hope that this model will apply to smart devices used in educational settings.
K. -S. Park,C. -W. Oh,T. -W. Kim,Hyun-Yong Jeong,Y.-H. Kim 대한기계학회 2006 JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY Vol.20 No.9
An improved friction model was proposed with consideration of the effect of the sliding speed, the contact pressure and the temperature, and it was implemented into a user subroutine of a commercial FEM code, ABAQUS/Explicit. Then, a smooth tire was simulated for free rolling, driving, braking and cornering situations using the improved friction model and the Coulomb friction model, and the effect of the friction models on the slip, the frictional energy distribution and the cornering force and moment was analyzed. For the free rolling, the driving and the braking situations, the improved friction model and the Coulomb friction model resulted in similar profiles of the slip and the frictional energy distributions although the magnitudes were different. The slips obtained from the simulations were in a good correlation with experimental data. For the cornering situation, the Coulomb friction model with the coefficient of friction of 1 or 2 resulted in lower or higher cornering forces and moments than experimental data. In addition, in contrast to experimental data it did not result in a maximum cornering force and a decrease of the cornering moment for the increase of the speed. However, the improved friction model resulted in similar cornering forces and moments to experimental data, and it resulted in a maximum cornering force and a decrease of the cornering moment for the increase of the speed, showing a good correlation with experimental data.
Sled 시험에 의한 자동차 좌석안전띠의 성능평가 연구
윤경한(K.H.Yoon),이재완(J.W.Lee),박형원(H.W.Park),용기중(G.J.Yong) 한국자동차공학회 1997 한국자동차공학회 춘 추계 학술대회 논문집 Vol.1997 No.11_2
In this study, to evaluate performance and characteristics of the seat belt restraint systems, three models of these system were subjected to 30mph sled tests, using Korea Standard(KS) R 4027 and ECE No.16 standard procedures. Also, the results of the occupants protection characteristics of a ELR type seat belt due to the various speed of sled test were compared.