• Title/Summary/Keyword: vector computer

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Implementation of Speech Recognizer using DSP(Digital Signal Processor) (DSP를 이용한 음성인식기 구현)

  • 임창환;문철홍;전경남
    • Proceedings of the IEEK Conference
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    • 2000.11d
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    • pp.187-190
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    • 2000
  • In this paper, implementation of speech Recognizer system, Separated from Personal computer. By using DSP, this intends to extend the voice recognizing, limited into PC because of amount of data and calculations. For this performance The thesis uses the real time End point detector and organizes no additional device between human and the system, characteristic vector are that detects End point and voice from absolute energy and ZCR, that uses 12 difference Cepstrum from LPC, that uses the method to compensate the process of pattern separating and pre-calculated standard pattern limitation.

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IEEE 802.15.4 and ZigBee Protocol : ZIGBEE Network Layer Using Ad-hoc On-Demand Distance Vector Routing (IEEE 802.15.4와 ZigBee Protocol : ZIGBEE Network Layer이 사용하는 AODV)

  • Lee Won-Geun
    • Annual Conference of KIPS
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    • 2006.05a
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    • pp.1287-1290
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    • 2006
  • 무선 네트워크의 전송 방식은 유선 네트워크와 다르며, 따라서 유선 네트워크를 기반으로 설계된 인터넷 프로토콜(TCP/IP)은 무선네트워크 환경에서 불안정 하게 작동한다. 본 논문에서는 기존의 유선 인터넷에 맞춰진 전송 프로토콜인 UDP와 TCP를 802.15.4 MAC기반의 ZigBee Protocol 환경에서 사용되는 특성과 AODV 및 확장 프로토콜인 AOMDV를 통해 인터넷에 결합된 네트워크 인터페이스를 가진 노드들의 특성과 관리의 중요함을 확인한다

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Geometric Analysis of Convergence of FXLMS Algorithm (FXLMS 알고리즘 수렴성의 기하학적 해석)

  • Kang Min Sig
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.54 no.1
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    • pp.40-47
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    • 2005
  • This paper concerns on Filtered-x least mean square (FXLMS) algorithm for adaptive estimation of feedforward control parameters. The conditions for convergence in ensemble mean of the FXLMS algorithm are derived and the directional convergence properties are discussed from a new geometric vector analysis. The convergence and its directionality are verified along with some computer simulations.

Direct Adaptive Pole-Placement and Stability of Discrete-time Non-minimum Phase Systems (이산시간 비 최소현상 시스템의 직지 적응 극배룰 및 안전팡에 관한 연구)

  • 최종호;최진영
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.33 no.5
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    • pp.193-199
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    • 1984
  • This paper presents a direct adaptive pole placement control scheme which is applicable to discretetime non-minimum phase systems. It is proved that by this scheme the poles can be placed at the desired locations and the overall state vector of the system is uniformly bounded if the reference input is sufficiently rich, and also proved that in case of insufficiently rich reference input the overall system can still be stabilized though the poles may not be placed exactly at the desired locations. The effectiveness of this scheme is verified by digital computer simulations.

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Optimized Stator Flux Oriented Control of IM using Adaptive Speed Estimator (적응 속도추정기를 이용한 유도전동기의 최적 고정자 자속 기준제어)

  • 정인화;신명호;변철웅;현동석
    • Proceedings of the KIPE Conference
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    • 1997.07a
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    • pp.161-165
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    • 1997
  • For high performance ac drives, the speed sensorless vector control and the stator flux orientation concept have received increasing attention. This paper presents a new method of estimation the speed of AC induction machine(IM). To improve the speed estimation characteristics, accurate stator resistance variation is considered. The effectiveness of the proposed method is verified computer simulation.

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Fuzzy Neural Newtork Pattern Classifier

  • Kim, Dae-Su;Hun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.1 no.3
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    • pp.4-19
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    • 1991
  • In this paper, we propose a fuzzy neural network pattern classifier utilizing fuzzy information. This system works without any a priori information about the number of clusters or cluster centers. It classifies each input according to the distance between the weights and the normalized input using Bezdek's [1] fuzzy membership value equation. This model returns the correct membership value for each input vector and find several cluster centers. Some experimental studies of comparison with other algorithms will be presented for sample data sets.

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A PROJECTION ALGORITHM FOR SYMMETRIC EIGENVALUE PROBLEMS

  • PARK, PIL SEONG
    • Journal of the Korean Society for Industrial and Applied Mathematics
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    • v.3 no.2
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    • pp.5-16
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    • 1999
  • We introduce a new projector for accelerating convergence of a symmetric eigenvalue problem Ax = x, and devise a power/Lanczos hybrid algorithm. Acceleration can be achieved by removing the hard-to-annihilate nonsolution eigencomponents corresponding to the widespread eigenvalues with modulus close to 1, by estimating them accurately using the Lanczos method. However, the additional Lanczos results can be obtained without expensive matrix-vector multiplications but a very small amount of extra work, by utilizing simple power-Lanczos interconversion algorithms suggested. Numerical experiments are given at the end.

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HOPF HYPERSURFACES IN COMPLEX TWO-PLANE GRASSMANNIANS WITH LIE PARALLEL NORMAL JACOBI OPERATOR

  • Jeong, Im-Soon;Lee, Hyun-Jin;Suh, Young-Jin
    • Bulletin of the Korean Mathematical Society
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    • v.48 no.2
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    • pp.427-444
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    • 2011
  • In this paper we give some non-existence theorems for Hopf hypersurfaces in the complex two-plane Grassmannian $G_2(\mathbb{C}^{m+2})$ with Lie parallel normal Jacobi operator $\bar{R}_N$ and totally geodesic D and $D^{\bot}$ components of the Reeb flow.

REFLECTED DIFFUSION WITH JUMP AND OBLIQUE REFLECTION

  • Kwon, Young-Mee
    • Bulletin of the Korean Mathematical Society
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    • v.35 no.2
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    • pp.269-278
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    • 1998
  • Let ($G,\;{\upsilon}$) be a bounded smooth domain and reflection vector field on $\partial$G, which points uniformly into G. Under the condition that locally for some coordinate system, ${\mid}{\upsilon^i}{\mid}\;i\;=\;1,{\cdot},{\cdot}$,d - 1, where is constant depending on the Lipschitz constant of G, we have tightness for reflected diffusion with jump on G with reflection $\upsilon$ depending only on c. From this, we obtain some properties of L-harmonic function where L is a sum of Laplacian and integro one.

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Local Influence Assessment of the Misclassification Probability in Multiple Discriminant Analysis

  • Jung, Kang-Mo
    • Journal of the Korean Statistical Society
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    • v.27 no.4
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    • pp.471-483
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    • 1998
  • The influence of observations on the misclassification probability in multiple discriminant analysis under the equal covariance assumption is investigated by the local influence method. Under an appropriate perturbation we can get information about influential observations and outliers by studying the curvatures and the associated direction vectors of the perturbation-formed surface of the misclassification probability. We show that the influence function method gives essentially the same information as the direction vector of the maximum slope. An illustrative example is given for the effectiveness of the local influence method.

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