• Title/Summary/Keyword: vector analysis

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뇌파/뇌자도 전류원 국지화의 공간분해능 향상을 위한 독립성분분석 기반의 부분공간 탐색 알고리즘 (An ICA-Based Subspace Scanning Algorithm to Enhance Spatial Resolution of EEG/MEG Source Localization)

  • 정영진;권기운;임창환
    • 대한의용생체공학회:의공학회지
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    • 제31권6호
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    • pp.456-463
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    • 2010
  • In the present study, we proposed a new subspace scanning algorithm to enhance the spatial resolution of electroencephalography (EEG) and magnetoencephalography(MEG) source localization. Subspace scanning algorithms, represented by the multiple signal classification (MUSIC) algorithm and the first principal vector (FINE) algorithm, have been widely used to localize asynchronous multiple dipolar sources in human cerebral cortex. The conventional MUSIC algorithm used principal component analysis (PCA) to extract the noise vector subspace, thereby having difficulty in discriminating two or more closely-spaced cortical sources. The FINE algorithm addressed the problem by using only a part of the noise vector subspace, but there was no golden rule to determine the number of noise vectors. In the present work, we estimated a non-orthogonal signal vector set using independent component analysis (ICA) instead of using PCA and performed the source scanning process in the signal vector subspace, not in the noise vector subspace. Realistic 2D and 3D computer simulations, which compared the spatial resolutions of various algorithms under different noise levels, showed that the proposed ICA-MUSIC algorithm has the highest spatial resolution, suggesting that it can be a useful tool for practical EEG/MEG source localization.

지구 중력장 내에서 성립하는 운동 상태 방정식의 해를 구하기 위한 벡터의 스칼라 프로덕트 응용 (Application of Vector Scalar Product to Solve the Kinematic Equations in the Earth's Gravitational Field)

  • 엄기홍
    • 한국인터넷방송통신학회논문지
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    • 제17권6호
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    • pp.217-222
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    • 2017
  • 지구 중력장 내에 위치한 물체는 연직 아래 방향의 힘을 받고 있다. 중력장 내에서 물체의 운동을 기술하기 위하여 운동상태 방정식을 이용한다. 자유 낙하하는 물체를 해석할 때 기준 방향은 연직 하방을 +y으로, 연직위로 던져 올린 물체를 해석할 때 기준방향은 연직상방을 +y으로, 연직 아래로 던져 내린 물체를 해석할 때, 기준 방향은 연직 하방을 +y으로 선택하여 해석함이 일반적이다. 이 논문에서는 두 벡터의 스칼라 곱 (즉, 도트 곱)을 이용하여 연직 상방 또는 하방 두 경우를 방향으로 선택하여 구성한 벡터 운동 상태 방정식(vector kinematics equations)을 해석의 결과가 서로 일치함을 제시한다. 두 벡터의 스칼라 곱 (즉, 도트 곱)을 이용하여 물체의 상태 방정식를 해석한 예는 선행 연구에서 거의 찾아볼 수가 없다. 이 결과를 이용하면, 수평면의 방향 또는 빗각을 이루는 방향의 초속도로 던져 올리거나 던져 내린 물체의 운동 상태를 해석하기 위하여 연직 기준 방향을 상방 또는 하방으로 임의 선택할 수가 있다.

Comparative study on dynamic analyses of non-classically damped linear systems

  • Greco, Annalisa;Santini, Adolfo
    • Structural Engineering and Mechanics
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    • 제14권6호
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    • pp.679-698
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    • 2002
  • In this paper some techniques for the dynamic analysis of non-classically damped linear systems are reviewed and compared. All these methods are based on a transformation of the governing equations using a basis of complex or real vectors. Complex and real vector bases are presented and compared. The complex vector basis is represented by the eigenvectors of the complex eigenproblem obtained considering the non-classical damping matrix of the system. The real vector basis is a set of Ritz vectors derived either as the undamped normal modes of vibration of the system, or by the load dependent vector algorithm (Lanczos vectors). In this latter case the vector basis includes the static correction concept. The rate of convergence of these bases, with reference to a parametric structural system subjected to a fixed spatial distribution of forces, is evaluated. To this aim two error norms are considered, the first based on the spatial distribution of the load and the second on the shear force at the base due to impulsive loading. It is shown that both error norms point out that the rate of convergence is strongly influenced by the spatial distribution of the applied forces.

컬러 영상에서 Support Vector Domain Description을 이용한 얼굴 검출 (Face Detection Using Support Vector Domain Description in Color Images)

  • 서진;고한석
    • 대한전자공학회논문지SP
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    • 제42권1호
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    • pp.25-31
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    • 2005
  • 본 논문에서는 컬러 영상에서 Support Vector Domain Description (SVDD)를 이용한 얼굴 검출 방법을 제안한다. 기존의 훈련을 통한 얼굴 검출 방법은 얼굴 영상과 얼굴이 아닌 영상을 모두 사용해야 한다. 그러나, SVDD를 이용한 얼굴 검출은 단지 훈련을 위해 얼굴 영상만이 사용된다. SVDD의 훈련을 통해 나오는 값인 반지름과 중심 좌표를 통해 얼굴을 검출한다. 또한, 엔트로피를 이용한 임계값 추출 방법(Entropic Threshold)을 통해 얼굴 특징을 추출하고, 슬라이딩 윈도우(sliding window)기법을 통해 성능을 개선한다. 주성분 분석(Principle Component Analysis) 과 SVDD를 이용한 얼굴 검출 방법의 비교 실험을 통해 본 논문이 제안한 방법의 효율성을 확인한다.

Torque Density Improvement of Five-Phase PMSM Drive for Electric Vehicles Applications

  • Zhao, Pinzhi;Yang, Guijie
    • Journal of Power Electronics
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    • 제11권4호
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    • pp.401-407
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    • 2011
  • In order to enhance torque density of five-phase permanent magnetic synchronous motor with third harmonic injection for electric vehicles (EVs) applications, optimum seeking method for injection ratio of third harmonic was proposed adopting theoretical derivation and finite element analysis method, under the constraint of same amplitude for current and air-gap flux. By five-dimension space vector decomposition, the mathematic model in two orthogonal space plane, $d_1-q_1$ and $d_3-q_3$, was deduced. And the corresponding dual-plane vector control method was accomplished to independently control fundamental and third harmonic currents in each vector plane. A five-phase PMSM prototype with quasi-trapezoidal flux pattern and its fivephase voltage source inverter were designed. Also, the dual-plane vector control was digitized in a single XC3S1200E FPGA. Simulation and experimental results prove that using the proposed optimum seeking method, the torque density of five-phase PMSM is enhanced by 20%, without any increase of power converter capacity, machine size and iron core saturation.

VAR 모형을 이용한 유통단계별 갈치가격의 인과성 분석 (A Causality Analysis of the Hairtail Price by Distribution Channel Using a Vector Autoregressive Model)

  • 김철현;남종오
    • 수산경영론집
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    • 제46권1호
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    • pp.93-107
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    • 2015
  • This study aims to analyze causalities among Hairtail prices by distribution channel using a vector autoregressive model. This study applies unit-root test for stability of data, uses Granger causality test to know interaction among Hairtail Prices by distribution channel, and employes the vector autoregressive model to estimate statistical impacts among t-2 period variables used in model. Analyzing results of this study are as follows. First, ADF, PP, and KPSS tests show that the change rate of Hairtail price by distribution channel differentiated by logarithm is stable. Second, a Granger causality test presents that the producer price of Hairtail leads the wholesale price and then the wholesale price leads the consumer price. Third, the vector autoregressive model suggests that the change rate of Hairtail producer price of t-2 period variables statistically, significantly impacts change rates of own, wholesale, and consumer prices at current period. Fourth, the impulse response analysis indicates that impulse responses of the structural shocks with a respectively distribution channel of the Hairtail prices are relatively more powerful in own distribution channel than in other distribution channels. Fifth, a forecast error variance decomposition of the Hairtail prices points out that the own price has relatively more powerful influence than other prices.

A New Hybrid "Park's Vector - Time Synchronous Averaging" Approach to the Induction Motor-fault Monitoring and Diagnosis

  • Ngote, Nabil;Guedira, Said;Cherkaoui, Mohamed;Ouassaid, Mohammed
    • Journal of Electrical Engineering and Technology
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    • 제9권2호
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    • pp.559-568
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    • 2014
  • Induction motors are critical components in industrial processes since their failure usually lead to an unexpected interruption at the industrial plant. The studies of induction motor behavior during abnormal conditions and the possibility to diagnose different types of faults have been a challenging topic for many electrical machine researchers. In this regard, an efficient and new method to detect the induction motor-fault may be the application of the Time Synchronous Averaging (TSA) to the stator current Park's Vector. The aim of this paper is to present a methodology by which defects in a three-phase wound rotor induction motor can be diagnosed. By exploiting the cyclostationarity characteristics of electrical signals, the TSA method is applied to the stator current Park's Vector, allowing the monitoring of the induction motor operation. Simulation and experimental results are presented in order to show the effectiveness of the proposed method. The obtained results are largely satisfactory, indicating a promising industrial application of the hybrid Park's Vector-TSA approach.

Assessment of computational performance for a vector parallel implementation: 3D probabilistic model discrete cracking in concrete

  • Paz, Carmen N.M.;Alves, Jose L.D.;Ebecken, Nelson F.F.
    • Computers and Concrete
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    • 제2권5호
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    • pp.345-366
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    • 2005
  • This work presents an assessment of the computational performance of a vector-parallel implementation of probabilistic model for concrete cracking in 3D. This paper shows the continuing efforts towards code optimization as reported in earlier works Paz, et al. (2002a,b and 2003). The probabilistic crack approach is based on the direct Monte Carlo method. Cracking is accounted by means of 3D interface elements. This approach considers that all nonlinearities are restricted to interface elements modeling cracks. The heterogeneity governs the overall cracking behavior and related size effects on concrete fracture. Computational kernels in the implementation are the inexact Newton iterative driver to solve the non-linear problem and a preconditioned conjugate gradient (PCG) driver to solve linearized equations, using an element by element (EBE) strategy to compute matrix-vector products. In particular the paper analyzes code behavior using OpenMP directives in parallel vector processors (PVP), such as the CRAY SV1 and CRAY T94. The impact of the memory architecture on code performance, and also some strategies devised to circumvent this issue are addressed by numerical experiment.

NPC와 H-Bridge 컨버더의 부스트 벡터와 커패시터 전압의 해석 (Analysis of Capacitor Voltage and Boost Vector in Neutral-Point-Clamped and H-Bridge Converter)

  • 김정균;김태진;강대욱;현동석
    • 전력전자학회논문지
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    • 제8권3호
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    • pp.274-284
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    • 2003
  • 대용량 전력변환기기인 멀티-레벨 컨버터는 전동기구동시스템 및 유연송전시스템 등에 널리 사용되고 있다. 이중 H-Bridge 컨버터는 캐스캐이드 형태를 사용하여 멀티-레벨로의 확장이 용이한 장점으로 인해 shunt형 기기로 점차 응용이 확대되고 있다. 정상 상태에서 대략 0.7∼0.8의 변조지수 범위에서 작동한다. 고변조지수에서는 부스트 벡터인 zero vector가 인가되지 않아도 DC-link 전압은 일정하게 유지된다. 이것은 3-레벨 컨버터의 여러 벡터 중 zero vector 이외에도 또 다른 boost vector가 존재한다는 것을 의미한다. 본 논문은 boost vector의 원리를 살펴보고 3레벨 컨버터에서 zero vector와 또 다른 boost vector와의 차이점을 고찰하였다. 또한 본 논문은 두 토폴로지의 충전 전류와 커패시터 전압을 해석하고 비교한다 이 전압과 전류는 스위칭 상태와 기준전압과 관련되어 있고 이것을 이용하여 각 커패시터의 충전전류와 전압리플에 대한 계산 방법을 제안하였고 다양한 DC-Link 전압제어 방법을 시뮬레이션을 통해 비교하였다.

'기하와 벡터' 교육과정의 벡터와 내적 개념 분석 (An Analysis of the Vector and Inner Product Concepts in Geometry and Vector Curriculum)

  • 신보미
    • 한국학교수학회논문집
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    • 제16권4호
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    • pp.841-862
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    • 2013
  • 이 연구는 2007 개정 교육과정의 '기하와 벡터' 교과에서 다루어지는 벡터와 내적 개념을 분석하여 그 특징을 기술함으로써 벡터와 내적 개념 지도의 교수학적 시사점을 얻는데 목적을 두었다. 이를 위해 '기하와 벡터' 교육과정에서 다루어지는 벡터와 내적 개념 분석을 위한 세부 관점을 Tall(2002a; Tall, 2004b)과 Watson et al.(2003; Watson, 2002)에 기초하여 5가지로 추출하고, 이렇게 추출된 세부 관점을 토대로 '기하와 벡터' 교육과정 및 교육과정해설서, '기하와 벡터' 교과서 10종 모두에서 다루어지는 벡터와 내적 개념의 특징을 분석하였다. 이로부터 벡터와 내적 개념 형성과 관련된 교육과정상의 이슈를 구체화하였으며 이에 비추어 '기하와 벡터' 교과서에서 벡터 단원의 내용을 전개하는 방식과 관련된 시사점을 논의하였다.

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