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Behavior of maltose-neopentyl glycol-3 (MNG-3) at the air/aqueous interface
Yoo, B.,Lee, J.,Choi, S.,Ryu, J.,Lee, H.,Chae, P.S.,Lee, S.U.,Maeda, M.,Sohn, D. Elsevier 2015 Colloids and surfaces. A, Physicochemical and engi Vol.484 No.-
<P>Integral membrane proteins (IMPS) performing a variety of cell functions comprise a significant fraction of the proteins encoded in an organism's genome. Maltose-neopentyl glycol-3 (MNG-3) was invented as a novel detergent to extract IMPs from the cell membranes; MNG-3 has an inherent flexibility originating from its central carbon and its arms comprising alkyl chains and maltose groups. Herein, we demonstrate the reverse-scissoring behavior of MNG-3 through the use of different subphase conditions at the air/water interface. The origin of its high performance was investigated by means of Langmuir techniques, X-ray reflectivity (XRR) analysis of its Langmuir-Schaefer (LS) film, Brewster angle microscope (BAM) and atomic force microscope (AFM) and computational simulation. (C) 2015 Elsevier B.V. All rights reserved.</P>
Path optimization for marine vehicles in ocean currents using reinforcement learning
Yoo, B.,Kim, J. Springer Science + Business Media 2016 Journal of Marine Science and Technology Vol.21 No.2
<P>This study proposes a path planning algorithm for marine vehicles based on machine learning. The algorithm considers the dynamic characteristics of the vehicle and disturbance effects in ocean environments. The movements of marine vehicles are influenced by various physical disturbances in ocean environments, such as wind, waves, and currents. In the present study, the effects of ocean currents are the primary consideration. A kinematic model is used to incorporate the nonholonomic motion characteristics of a marine vehicle, and the reinforcement learning algorithm is used for path optimization to generate a feasible path that can be tracked by the vehicle. The proposed approach determines a near-optimal path that connects the start and goal points with a reasonable computational cost when the map and current field data are provided. To verify the optimality and validity of the proposed algorithm, a set of simulations were performed in simulated and actual ocean current conditions, and their results are presented.</P>
살레 하마드 아비드(Saleh Hamad Abida),유일선(Il-Seon Yoob) 한국무역연구원 2020 무역연구 Vol.16 No.1
Purpose- The purpose of this study was to examine what determinants had an effect on the structural change of trade which had occurred to Korean manufacturing industry in 1980s when Korea experienced a rapid economic growth. Design/methodology/approach- After Leontief (1954)’s empirical analysis, Heckscher-Ohlin theorem was extended into multi-factor trade model including human capital. It was summed up as Heckscher-Ohlin-Vanek (HOV) equation: AT=V-sVw. This equation which consists of three variables-trade (T), factor intensity matrix (A) and relative abundance (V-sVw)-provides the theoretical base for the empirical test. As for the method of empirical test, I used logit analysis designed for the binary variable. This method makes it possible to test the correlation between the export probability of one goods and determinants of trade. Findings- According to the results of logit analysis, in early 1980s, because Korea was abundant in labor, labor was net-exported, while physical capital and human capital were net-imported. But in late 1980s, labor and human capital were net-exported, while physical capital was net-imported. It is found that human capital factor had emerged as significant factor when it comes to explaining the structural change of trade in Korean manufacturing industry in 1980s. Research implications or Originality- Korean experience of rapid economic growth in the past can be a guideline of the economic growth of developing countries in the future. In this context, this study is considered to be meaningful, being applied to the structural change of trade in developing countries such China and Vietnam etc which have promoted the similar economic growth strategy and which are closely linked to Korean economy.
자기정렬 DMOS 트랜지스터의 채널 길이와 채널 Punchthrough에 관한 고찰
김종오,김진형,최종수,윤한섭,Kim, Jong-Oh,Kim, Jin-Hyoung,Choi, Jong-Su,Yoob, Han-Sub 대한전자공학회 1988 전자공학회논문지 Vol. No.
A general closed form expression for the channel length of the self-aligned double-diffused MOS transistor is obtained from the 2-dimensional Gaussian doping profile. The proposed model in this paper is composed of the doping concentration of the substrate, the final surface doping concentration and the vertical junction depth of the each double-diffused region. The calculated channel length is in good agreement with the experimental results. Also, the optimum channel structure for the prevention of the channel puncthrough is obtained by the averaged doping concentration in the channel region. A correspondence between the results of device simulation of channel punchthrough and the estimations of simplified model is confirmed. 자기정렬 DMOS 트랜지스터의 채널 길이에 관한 수식을 2차원적인 Caussian 농도분포식으로부터 유도하였다. 본 논문에서는 제시된 채널 길이에 관한 수식은 기판의 농도, 이중확산된 각 영역의 표면 농도와 수직 접합 깊이의 함수로 이루어져 있으며, 계산된 실험치와 잘 일치하고 있다. 또한 고전압용 DMOS 트랜지스터에서 채널 punchthrough를 억제할 수 있는 최소 채널 길이를 채널영역의 평균농도를 이용하여 계산하였으며 소자 simulation을 통하여 최적의 채널 조건(채널농도분포 및 채널 길이)를 예측할 수 있음을 확인하였다.