• 제목/요약/키워드: using state

검색결과 20,091건 처리시간 0.049초

The Interaction of CO and W(111) Surface

  • Lee, S. Y.;Kim, Y. D.;Seo, S. N.;Park, C. Y.;Kwak, H. T.;Boo, J. H.;Lee, S. B.
    • Bulletin of the Korean Chemical Society
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    • 제20권9호
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    • pp.1061-1066
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    • 1999
  • The adsorption of CO on W(111) surface in the range of adsorption temperature between 300 K and 1000 K has been studied using AES, LEED, and TDS in an UHV system. After CO saturation at 300 K, four desorption peaks are observed at temperatures (K) of about 400, 850, 1000, and 1100 in thermal desorption spectra, called as α, β1, β2, and β3 state, respectively. The state was attributed to molecular species of CO, which is well known. Because the CO in βstates (especially the β3 state) is still debated as to whether it is dissociative or non-dissociative, the β3 state is mainly discussed. By using the variation method of heating rate in the thermal desorption spectrometry, the desorption energy and pre-exponential factor for the β3 state are evaluated to be 280 kJ/mol and 1.5×10 12 s-1 , respectively. A lateral interaction energy of 5.7 kJ/mol can also be estimated by Bragg-Williams approximation. To interpret the thermal desorption spectra for the β3 state, moreover, those for the model of a first order and a second order desorption are simulated using quasi-chemical approximation. In this study, a model of lying-down CO species is proposed for the β3 state of CO adsorption.

Q-value Initialization을 이용한 Reinforcement Learning Speedup Method (Reinforcement learning Speedup method using Q-value Initialization)

  • 최정환
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(3)
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    • pp.13-16
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    • 2001
  • In reinforcement teaming, Q-learning converges quite slowly to a good policy. Its because searching for the goal state takes very long time in a large stochastic domain. So I propose the speedup method using the Q-value initialization for model-free reinforcement learning. In the speedup method, it learns a naive model of a domain and makes boundaries around the goal state. By using these boundaries, it assigns the initial Q-values to the state-action pairs and does Q-learning with the initial Q-values. The initial Q-values guide the agent to the goal state in the early states of learning, so that Q-teaming updates Q-values efficiently. Therefore it saves exploration time to search for the goal state and has better performance than Q-learning. 1 present Speedup Q-learning algorithm to implement the speedup method. This algorithm is evaluated. in a grid-world domain and compared to Q-teaming.

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상태 궤환을 사용한 AUV의 경우점 추적 연구 (A Study on Way-Point Tracking of AUV using State Feedback)

  • 권순태;백운경;강인필;최형식;주문갑
    • 제어로봇시스템학회논문지
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    • 제17권12호
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    • pp.1266-1272
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    • 2011
  • For way-point tracking of an autonomous underwater vehicle, a state feedback controller was designed by using pole placement scheme in discrete time domain. In the controller, 4 state variables were used for regulating the depth of the vehicle in z direction, and 3 state variables, for steering the vehicle in xy plane. Assuming constant speed of AUV, we simplified the design of the way-point tracking system. The proposed controller was simulated by MATLAB/Simulink using 6 degree-of-freedom nonlinear model and its performance of way point tracking was shown to be fulfilled within 1 m, nevertheless the proposed controller is quite simple and easy to implement compared to sliding mode controller.

선형계획법을 이용한 견실한 상태추정기의 개발에 관한 연구 (Development of The Robust State Estimator using Linear Programming)

  • 임재섭;권형석;김홍래
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2001년도 하계학술대회 논문집 A
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    • pp.181-183
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    • 2001
  • This paper presents a robust power system state estimator using linear programming(LP). LP state estimators minimize the weighted sum of the absolute values of the measurement residuals. In this paper, WLS(weighted least square) and WLAV(weighted least absolute value) state estimators are run with same measurement sets including bad data in order to compare the robustness to bad data and convergence characteristics of the two methods. Simulations with three test cases are performed and the results are presented, using IEEE 14 bus system.

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웨이브렛 변환과 파워 스펙트럼 분석을 이용한 EEG의 안정 상태 인식에 관한 고찰 (Recognition of Stable State of EEG using Wavelet Transform and Power Spectrum Analysis)

  • 김영서;길세기;임선아;민홍기;허웅;홍승홍
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2006년도 하계종합학술대회
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    • pp.879-880
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    • 2006
  • The subject of this paper is to recognize the stable state of EEG using wavelet transform and power spectrum analysis. An alpha wave, showed in stable state, is dominant wave for a human EEG and a beta wave displayed excited state. We decomposed EEG signal into an alpha wave and a beta wave in the process of wavelet transform. And we calculated each power spectrum of EEG signal, an alpha wave and a beta wave using Fast Fourier Transform. We recognized the stable state by making a comparison between power spectrum ratios respectively.

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지하철 전력 시스템 대한 상태추정 (State Estimation in Subway Power Systems)

  • 류헌수;하운관;문영현
    • 대한전기학회논문지:전력기술부문A
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    • 제51권1호
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    • pp.29-36
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    • 2002
  • It is required that the current state of system should be Precisely monitored for efficient and safe operation of the subway power system and it is an important Problem to secure the high quality data for state estimation. The current state of subway power system is estimated by using data transmitted to control center from every measuring instrument. The high accuracy and trust can be maintained if the measured data have a high quality. But it is difficult to estimate the accurate state of system because of the noises in transmitted data and the inaccuracy of measuring instruments. So the object is to reduce the difference between the real values and the measured values in order to improve considerably the inaccuracy due to Instrumental errors and transmission noises using the state estimation method. In this paper, we proposes a new state estimation to estimate the accurate state of the subway power system from the measured values of a Sang-In station in Daegu subway and consider the possibility of application to the real subway power system. on the basis of that. The simulation results show to make sure of the possibility to apply to the real system usefully.

메타버스에서 목적 지향 대화 시스템의 정확도 향상을 위한 상황 정보 활용 대화 상태 추적 기술 (Dialogue State Tracking using Circumstance Information to Improve the Accuracy of Task-Oriented Dialogue System in Metaverse)

  • 김승연;방준성
    • 방송공학회논문지
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    • 제27권5호
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    • pp.685-693
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    • 2022
  • 디지털 전환과 비대면 소통 플랫폼에 대한 요구로 메타버스가 주목받고 있지만, 원활한 의사소통을 돕는 대화 시스템이 아직 메타버스에서는 널리 적용되지 않았다. 본 연구에서는 메타버스에 대화 시스템을 적용하는 경우 메타버스에서의 주변 상황에 대한 정보를 이용하여 기존의 대화 상태를 수정하는 방법을 제안한다. 대화와 상황에 대한 정보를 모두 활용하는 본 모델은 대화 상태를 추적하는 모듈과 상황 상태를 추적하는 모듈, 그리고 추적한 상황 상태와 대화 상태를 비교하여 수정하는 알고리즘으로 구성된다. 사용자의 의도를 재확인하는 대화가 추가됨에 따라 잘못된 대화 상태를 수정할 수 있고, 대화 시스템의 정확도 향상이 가능하다.

Digital State Feedback Control for a Single/Parallel Module Buck Converter Using the Pole Placement Technique

  • Bae, Hyun-Su;Yang, Jeong-Hwan;Lee, Jae-Ho;Cho, Bo-Hyung
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2007년도 추계학술대회 논문집
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    • pp.31-33
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    • 2007
  • In this paper, a simple digital control scheme for the single/parallel module buck converters is proposed using a digital state feedback control method. The discrete state feedback controller structure for the robust tracking control is derived by using the error state. The proposed control system can precisely achieve the interleaved current sharing and the output regulation, and can achieve the systematical controller design for a given converter specification using the pole placement technique. For a design example, the single module buck converter is simulated using the MATLAB Simulink software and two 100W parallel module buck converters with a TMS320F2812 DSP is implemented.

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AE신호를 이용한 micro-grooving의 상태감시 (State Monitoring of Micro-Grooving using AE Signal)

  • 이희석;손성민;김성렬;안중환
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 1997년도 추계학술대회 논문집
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    • pp.332-335
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    • 1997
  • With the advance of precision technique, the optical system is more precise and complex and the machining method of optical element which is composed of micro-grooves is developed. Especially, the method of micro-grooving using diamond tool is used widely owing to many merit, but has problems of damage of surface roughness due to tool wear and tool fracture. This paper deals with state monitoring using AE RMS in the micro-grooving. The change of AE RMS is very small with increment of cutting velocity and depth of cut. In spite of constance magnitude of principal force in machining using diamond tool of tool wear and tool fracture, AE RMS is highly fluctuated. Because changing of cutting state has relevance to surface roughness profile, surface toughness profile is expected using AE RMS.

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진보된 혼돈 대각화 방법을 이용한 상호작용하는 페르미온 계의 기저상태 계산 (Ground State Computation of Interacting Fermion Systems by using Advanced Stochastic Diagonalization)

  • 안설아;조명원
    • 한국콘텐츠학회:학술대회논문집
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    • 한국콘텐츠학회 2007년도 추계 종합학술대회 논문집
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    • pp.209-211
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    • 2007
  • 2차원 상호작용하는 페르미온 계에 대한 혼돈 대각화 계산의 컴퓨터 계산 시간이, 대칭성 연산과 같은 여러 가지 방법을 이용함으로써 감소되었다. 첫째로, 각각의 격자를 업스핀(${\uparrow}$) 격자와 다운스핀(${\downarrow}$) 격자로 나누어서 2부분 격자가 가능케 했다. 이에 따라, 유효한 바탕 상태는 업스핀 배열에 다운스핀 배열을 겹침으로써 얻어진다. 결과적으로, 시험 바탕 상태를 저장하는데 사용되는 메모리 공간이 현저하게 감소되었다. 두 번째로, 바탕 상태 집합을 구성할 때, 해밀토니안 행렬의 원소들을 순람표에 기록하였다. 그럼으로써, 혼돈 대각화 과정에서 해밀토니안 행렬의 원소들을 반복적으로 계산하는 것을 피했다. 세 번째로, 바탕 상태 집합에 대칭성 연산을 적용함으로써 원 바탕 상태 집합이 대칭성 연산의 고유벡터들로 구성된 새로운 바탕 상태 집합으로 변환되었다. 기저 상태 파동함수는 대칭적인 바탕상태 (결합상태) 집합으로부터 구성되었다. 결과로서, 대칭성 연산을 이용함으로써, 혼돈 대각화 계산에 쓰이는 바탕상태의 총 개수가 50%까지 감소되었다.

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