김수연 교수

최근 스마트폰 이용자는 급속히 증가하고 있다. 스마트폰은 이제 통신도구로서의 기능을 넘어 게임, 인터넷, 맵 서비스 등 다양한 온라인 서비스를 제공하고 있으며, 이를 가속화하기 위한 각종 애플리케이션들이 일상생활에서 널리 확산되고 있다. 휴대폰의 수용태도에 대한 연구는 기존에도 많이 이루어졌으나 다양한 서비스를 기반으로 하는 스마트폰의 수용에 대한 연구는 아직 부족한 실정이다. 본 연구에서는 기술수용모형(TAM: Technology Acceptance Model)을 중심으로 스마트폰의 수용에 영향을 미치는 요인들을 분석하고자 한다. 이를 위하여 기존의 관련 연구를 통하여 자기 효능감, 사회적 영향을 외부요인으로, 지각된 유용성, 지각된 유희성을 인지요인으로 도출하고 이들 요인이 이용의도에 미치는 영향에 대하여 조사하였다. 이들 요인들과 이용의도와의 구조적 관계를 분석하기 위하여 구조방정식모형(SEM: Structural Equation Model)을 이용하였다. 분석 결과 모든 가설

Abstract Safety is a critical factor in reinforcement learning (RL) in chemical processes. In our previous work, we had proposed a new stability‐guaranteed RL for unconstrained nonlinear control‐affine systems. In the approximate policy iteration algorithm, a Lyapunov neural network (LNN) was updated while being restricted to the control Lyapunov function, and a policy was updated using a variation of Sontag's formula. In this study, we additionally consider state and input constraints by introd

Abstract We propose a new reinforcement learning approach for nonlinear optimal control where the value function is updated as restricted to control Lyapunov function (CLF) and the policy is improved using a variation of Sontag's formula. The practical asymptotic stability of the closed‐loop system is guaranteed during the training and at the end of training without requiring an additional actor network and its update rule. For a single‐layer neural network (NN) with exact basis functions, the a

In recent years, more stringent regulatory standards (EURO 6 emission standards) with a real driving test have been adopted for diesel vehicles. To meet the new regulations, a lean NOx trap (LNT) followed by a urealess selective catalytic reduction [passive SCR (pSCR)], i.e., LNT-pSCR, has been proposed as one of the promising aftertreatment systems for light-duty vehicles. In this brief, we propose hybrid nonlinear model predictive control (NMPC) that determines the optimal timing of rich mode

The water supply network has a complex structure especially in cities with high population density. A damage to the water pipe can occur in the form of a leakage or a burst and the technique for early detection of the occurrence and for the exact determination of the location is required. In this paper, we propose a novel method that can detect the leakage of the water supply network using the pressure data. After the noise is eliminated using the Kalman Filter, the mean of normal state pressure

당근, 사과, 샐러리, 돌미나리, 대추, 구기자의 착즙액을 3 : 3 : 1 : 1/2 : 1 : 1/2의 비율로 혼합한 혼합과채즙에 동치미로부터 분리한 Leuconostoc mesenteroides subsp. mesenteroides, Lactococcus lactis subsp. lactis. Lactobacillus cellobiosus을 접종하고 당과 식염의 첨가와 배양온도의 최적조건을 발효 및 관...

Nonlinear Model Predictive Control (NMPC) is an optimization-based control strategy that directly incorporates nonlinear dynamic models and has desirable stability and robustness properties. State estimation is an essential counterpart to NMPC and Moving Horizon Estimation (MHE) is also an optimization-based strategy that directly incorporates the nonlinear dynamics and constraints. However, NMPC and MHE are challenged by the computational expense of solving NLPs at each time step. For NMPC, thi

The purpose of this study is to analyze of influencing relationship between Density and TOD planning factors in categorized Subway Station Areas and to provide the data in order to establish TOD policy and density management of Subway Station Areas in the future. For that, it carried out an analysis as follows ; First, this study reanalyzed the scope of study based on the research method of Kim, S. Y. , Eom, S. Y. and Lee, M. H.(2013) which analyzed the spatial range of the categorized subway st