• 제목/요약/키워드: semi-random

검색결과 172건 처리시간 0.024초

semi-random 자장을 사용하는 적합한 무선전력전송 시스템 (Wireless Power Transfer System using Semi-random Magnetic Field)

  • Lim, Dong-Nam;Lee, Dong-Su;Jeon, Seong-Jeub
    • 전력전자학회:학술대회논문집
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    • 전력전자학회 2014년도 전력전자학술대회 논문집
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    • pp.480-481
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    • 2014
  • In this paper, a feeder system for wireless power transfer is investigated, which generates semi-random magnetic field using three currents with different frequencies. A semi-random field is very useful to magnetizing a pickup irrespective of its posture.

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준랜덤 자속을 사용하는 무선전력 전송 시스템 (Wireless Power Transfer System Based on Semi-random Magnetic Flux)

  • 허준;전성즙
    • 전기학회논문지
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    • 제66권8호
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    • pp.1222-1229
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    • 2017
  • In this paper, a wireless power transfer system with semi-random magnetic flux is studied. Directions of semi-random magnetic flux are changing almost randomly which can induce voltages at coils irrelevantly to coil's posture. So, very convenient charging is possible. Semi-random magnetic flux can be generated by a coil system which has three coils perpendicular to each other and carrying currents with different frequencies. A prototype for charging mobile devices is constructed and tested, and the proposal is verified.

Semi-Supervised Learning Using Kernel Estimation

  • Seok, Kyung-Ha
    • Journal of the Korean Data and Information Science Society
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    • 제18권3호
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    • pp.629-636
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    • 2007
  • A kernel type semi-supervised estimate is proposed. The proposed estimate is based on the penalized least squares loss and the principle of Gaussian Random Fields Model. As a result, we can estimate the label of new unlabeled data without re-computation of the algorithm that is different from the existing transductive semi-supervised learning. Also our estimate is viewed as a general form of Gaussian Random Fields Model. We give experimental evidence suggesting that our estimate is able to use unlabeled data effectively and yields good classification.

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Semi-active bounded optimal control of uncertain nonlinear coupling vehicle system with rotatable inclined supports and MR damper under random road excitation

  • Ying, Z.G.;Yan, G.F.;Ni, Y.Q.
    • Coupled systems mechanics
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    • 제7권6호
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    • pp.707-729
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    • 2018
  • The semi-active optimal vibration control of nonlinear torsion-bar suspension vehicle systems under random road excitations is an important research subject, and the boundedness of MR dampers and the uncertainty of vehicle systems are necessary to consider. In this paper, the differential equations of motion of the coupling torsion-bar suspension vehicle system with MR damper under random road excitation are derived and then transformed into strongly nonlinear stochastic coupling vibration equations. The dynamical programming equation is derived based on the stochastic dynamical programming principle firstly for the nonlinear stochastic system. The semi-active bounded parametric optimal control law is determined by the programming equation and MR damper dynamics. Then for the uncertain nonlinear stochastic system, the minimax dynamical programming equation is derived based on the minimax stochastic dynamical programming principle. The worst-case disturbances and corresponding semi-active bounded parametric optimal control are obtained from the programming equation under the bounded disturbance constraints and MR damper dynamics. The control strategy for the nonlinear stochastic vibration of the uncertain torsion-bar suspension vehicle system is developed. The good effectiveness of the proposed control is illustrated with numerical results. The control performances for the vehicle system with different bounds of MR damper under different vehicle speeds and random road excitations are discussed.

ON ALMOST SURE CONVERGENCE OF NEGATIVELY SUPERADDITIVE DEPENDENT FOR SEMI-GAUSSIAN RANDOM VARIABLES

  • BAEK, JONG-IL;SEO, HYE-YOUNG
    • Journal of applied mathematics & informatics
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    • 제39권1_2호
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    • pp.145-153
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    • 2021
  • When {Xni|1 ≤ i ≤ n, n ≥ 1} be an array of rowwise negatively superadditive dependent(NSD) for semi-Gaussian random variables and {ani|1 ≤ i ≤ n, n ≥ 1} is an array of constants, we study the almost sure convergence of weighted sums ∑ni=1 aniXni under some appropriate conditions and we obtain some corollaries.

세미-마르코프 조건 랜덤 필드 기반의 수화 적출 (Sign Language Spotting Based on Semi-Markov Conditional Random Field)

  • 조성식;이성환
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제36권12호
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    • pp.1034-1037
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    • 2009
  • 수화 적출이란 연속된 영상에서 수화의 시작과 끝점을 찾고, 이를 사전에 정의된 수화 단어로 인식하는 방법을 말한다. 수화는 매우 다양한 손의 움직임과 모양으로 구성되어 있고, 그 변화가 다양하여 적출에 많은 어려움이 있다. 특히, 다양한 길이의 궤적 정보로 구성된 수화는 길이가 긴 수화에 대해 짧은 길이를 갖는 수화가 인식에 필요한 정보를 추출하기 어려운 문제점 있다. 본 논문에서는 다양한 길이를 갖는 입력 데이터의 특징을 반영할 수 있는 Semi-Markov Conditional Random Field에 기반하여 다양한 수화의 길이에 강인하게 수화를 적출하는 방법을 제안한다. 성능 평가를 위해 미국 수화와 한국 수화 데이터베이스를 사용하여 연속된 수화 영상에서의 수화 적출 성능을 평가하였고, 실험 결과 기존의 Hidden Markov Model과 Conditional Random Field보다 뛰어난 성능을 보였다.

Semi-deterministic Sparse Matrix for Low Complexity Compressive Sampling

  • Quan, Lei;Xiao, Song;Xue, Xiao;Lu, Cunbo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제11권5호
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    • pp.2468-2483
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    • 2017
  • The construction of completely random sensing matrices of Compressive Sensing requires a large number of random numbers while that of deterministic sensing operators often needs complex mathematical operations. Thus both of them have difficulty in acquiring large signals efficiently. This paper focuses on the enhancement of the practicability of the structurally random matrices and proposes a semi-deterministic sensing matrix called Partial Kronecker product of Identity and Hadamard (PKIH) matrix. The proposed matrix can be viewed as a sub matrix of a well-structured, sparse, and orthogonal matrix. Only the row index is selected at random and the positions of the entries of each row are determined by a deterministic sequence. Therefore, the PKIH significantly decreases the requirement of random numbers, which has a complex generating algorithm, in matrix construction and further reduces the complexity of sampling. Besides, in order to process large signals, the corresponding fast sampling algorithm is developed, which can be easily parallelized and realized in hardware. Simulation results illustrate that the proposed sensing matrix maintains almost the same performance but with at least 50% less random numbers comparing with the popular sampling matrices. Meanwhile, it saved roughly 15%-35% processing time in comparison to that of the SRM matrices.

추계론적 유한요소해석에서의 확률밀도함수 사용과 수렴치 (Application of Probability Density Function in SFEM and Corresponding Limit Value)

  • 노혁천
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2006년도 정기 학술대회 논문집
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    • pp.857-864
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    • 2006
  • Due to the difficulties in numerical generation of random fields that satisfy not only the probabilistic distribution but the spectral characteristics as well. it is relatively hard to find an exact response variability of a structural response with a specific random field which has its features in the spatial and spectral domains. In this study. focusing on the fact that the random field assumes a constant over the domain under consideration when the correlation distance tends to infinity, a semi-theoretical solution of response variability is proposed for in-plane and plate bending structures. In this procedure, the probability density function is used directly resulting in a semi-exact solution for the random field in the state of random variable. It is particularly noteworthy that the proposed methodology provides response variability for virtually any type of probability density functions.

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VHDL 모델의 효율적인 검증 방법 (Efficient Strategies to Verify VHDL Model)

  • 김강철
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2003년도 춘계종합학술대회
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    • pp.526-529
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    • 2003
  • 논 논문에서는 VHDL 모델을 검증하기 위하여 정지법을 사용할 때 클럭 사이클을 줄일 수 있는 2가지 방법을 제안한다. 첫 번째 방법은 세미랜덤변수를 정의하고, 정지법이 동작 중에 세미랜덤변수의 영역에 존재하는 데이터를 생략하여 정지점(stopping point)을 줄이고, 두 번째 방법은 정지법의 페이즈가 변화시에 베이지안 파라미터의 기존 간을 그대로 유지하여 클럭 사이클을 줄이는 방법이다. 제안된 방법의 효율성을 입증하기 위하여 12개의 VHDL 모델에 대하여 분기검출률에 관한 모의실험을 하였다.

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무선통신 채널에서 세미 랜덤 인터리버를 이용한 터보코드의 성능분석 (Performance Analysis of Turbo code using Semi Random Interleaver over the Radio Communication Channel)

  • 홍성원
    • 한국정보통신학회논문지
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    • 제4권5호
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    • pp.1067-1075
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    • 2000
  • 본 논문은 무선 통신 채널에서 세미 랜덤 인터리버를 이용한 터보코드의 성능을 분석하였 다. 그 결과 복호기의 성능은 인터리버의 크기, 구속장의 길이, 반복 복호횟수가 증가할수록 성능은 우수하였다. 그리고 길쌈부호와 세미 랜덤 인터리버를 이용한 터보코드의 구속장과 BER 이 $10^{-4}$로 일정할 때, 각각의 $E_b / N_o$ 값은 6.4[dB] 와 1.7[dB]이다. 그러므로 구속장이 일정할 때, 세미 랜덤 인터리버를 이용한 터보코드의 성능이BER$10^{-4}$에서 길쌈부호보다 약 4.7(dB) 우수함을 입증하였다.

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