• 한국소음진동공학회논문집
• /
• 제20권10호
• /
• pp.946-952
• /
• 2010

A method for the identification of structural characteristic parameters of a steel bar in the matrices form such as stiffness matrices and mass matrices from frequency response function(FRF) by genetic algorithm is proposed. As the method is based on the finite element method(FEM), the obtained matrices have perfect physical meanings if the FRFs got from the analysis and the FRFs from the experiments were well coincident each other. The identified characteristic matrices from the FRFs with maximun 40 % of random errors by the genetic algorithm are coincident with the characteristic matrices from exact FEM FRFs well each other. The fitted element diameters by using only 2 points experimental FRFs are similar to the actual diameters of the bar. The fitted FRFs are good accordance with the experimental FRFs on the graphs. FRFs of the rest 9 points not used for calculating could be fitted even well.

• Journal of Positioning, Navigation, and Timing
• /
• 제7권2호
• /
• pp.53-59
• /
• 2018

This paper proposes a pseudo-random beamforming technique for time-synchronized mobile base stations (BSs) for multi-cell downlink networks which have mobility. The base stations equipped with multi-antennas and mobile stations (MSs) are time-synchronized based on global positioning system (GPS) signals and generate a number of transmit beamforming matrix candidates according to the predetermined pseudo-random pattern. In addition, MSs generate receive beamforming vectors that correspond to the beam index number based on the minimum mean square error (MMSE) using transmit beamforming vectors that make up a number of transmit beamforming matrices and wireless channel matrices from BSs estimated via the reference signals (RS). Afterward, values of received signal-to-interference-plus-noise ratio (SINR) with regard to all transmit beamforming vectors are calculated, and the resulting values are then feedbacked to the BS of the same cells along with the beam index number. Each of the BSs calculates each of the sum-rates of the transmit beamforming matrix candidates based on the feedback information and then transmits the calculated results to the BS coordinator. After this, optimum transmit beamforming matrices, which can maximize a sum-rate of the entire cells, are selected at the BS coordinator and informed to the BSs. Finally, data signals are transmitted using them. The simulation results verified that a sum-rate of the entire cells was improved as the number of transmit beamforming matrix candidates increased. It was also found that if the received SINR values and beam index numbers are feedbacked opportunistically from each of the MSs to the BSs, not only nearly the same performance in sum-rate with that of applying existing feedback techniques could be achieved but also an amount of feedback was significantly reduced.

• Journal of information and communication convergence engineering
• /
• 제9권2호
• /
• pp.207-211
• /
• 2011

This paper presents a method for facial feature representation and recognition from the Covariance Matrices of the Gabor-filtered images. Gabor filters are a very powerful tool for processing images that respond to different local orientations and wave numbers around points of interest, especially on the local features on the face. This is a very unique attribute needed to extract special features around the facial components like eyebrows, eyes, mouth and nose. The Covariance matrices computed on Gabor filtered faces are adopted as the feature representation for face recognition. Geodesic distance measure is used as a matching measure and is preferred for its global consistency over other methods. Geodesic measure takes into consideration the position of the data points in addition to the geometric structure of given face images. The proposed method is invariant and robust under rotation, pose, or boundary distortion. Tests run on random images and also on publicly available JAFFE and FRAV3D face recognition databases provide impressively high percentage of recognition.

• 대한전자공학회논문지TC
• /
• 제45권7호
• /
• pp.17-21
• /
• 2008

이진 pseudo-random 시퀀스를 갖는 q-ary M-sequence는 많은 적용 분야에 사용할 수 있는 유리한 특성을 가지고 있다. 본 논문은 유한장 $F_q$의 덧셈 특성을 이용하여 q-ary M-sequence 원소의 시프트로 재킷 행렬의 새로운 계열을 설계하고 있다. 또한, 이진 PN-시퀀스로부터 기존의 하다마드 행렬을 얻는 방법을 일반화하였고, 제안한 방법으로 q-ary M-sequence에 근거한 재킷행렬을 보인다.

• ETRI Journal
• /
• 제27권5호
• /
• pp.557-562
• /
• 2005

Low-density parity-check (LDPC) codes have recently emerged due to their excellent performance. However, the parity check (H) matrices of the previous works are not adequate for hardware implementation of encoders or decoders. This paper proposes a hybrid parity check matrix which is efficient in hardware implementation of both decoders and encoders. The hybrid H-matrices are constructed so that both the semi-random technique and the partly parallel structure can be applied to design encoders and decoders. Using the proposed methods, the implementation of encoders can become practical while keeping the hardware complexity of the partly parallel decoder structures. An encoder and a decoder are designed using Verilog-HDL and are synthesized using a $0.35 {\mu}m$ CMOS standard cell library.

• 대한수학회논문집
• /
• 제3권1호
• /
• pp.67-75
• /
• 1988

• Structural Engineering and Mechanics
• /
• 제18권6호
• /
• pp.791-806
• /
• 2004

The inverse pseudo excitation method is used in the identification of random loadings. For structures subjected to stationary random excitations, the power spectral density matrices of such loadings are identified experimentally. The identification is based on the measured acceleration responses and the structural frequency response functions. Numerical simulation is used in the optimal selection of sensor locations. The proposed method has been successfully applied to the loading identification experiments of three structural models, two uniform steel cantilever beams and a four-story plastic glass frame, subjected to uncorrelated or partially correlated random excitations. The identified loadings agree quite well with actual excitations. It is proved that the proposed method is quite accurate and efficient in addition to its ability to alleviate the ill conditioning of the structural frequency response functions.

• Journal of applied mathematics & informatics
• /
• 제32권1_2호
• /
• pp.171-184
• /
• 2014

A higher order iterative method to compute the Moore-Penrose inverses of arbitrary matrices using only the Penrose equation (ii) is developed by extending the iterative method described in [1]. Convergence properties as well as the error estimates of the method are studied. The efficacy of the method is demonstrated by working out four numerical examples, two involving a full rank matrix and an ill-conditioned Hilbert matrix, whereas, the other two involving randomly generated full rank and rank deficient matrices. The performance measures are the number of iterations and CPU time in seconds used by the method. It is observed that the number of iterations always decreases as expected and the CPU time first decreases gradually and then increases with the increase of the order of the method for all examples considered.

• 대한전자공학회논문지SD
• /
• 제43권7호
• /
• pp.50-57
• /
• 2006

Low-density parity check (LDPC) code는 최근 그 우수한 성능으로 인하여 4세대 무선 이동 통신용 채널 코딩으로 주목받고 있고 유럽의 고화질 위성방송 규격으로 채택되었다. 그러나 기존의 연구들이 제안한 parity check matrix (H-matrix)는 실제로 하드웨어로 구현함에 있어서 인코더 혹은 디코더에 제약을 가지고 있다. 이러한 문제점을 해결하고자 본 논문에서는 인코더와 디코더 양쪽 모두 효율적으로 하드웨어로 구현이 가능한 hybrid H-matrix 구조를 제안한다. Hybrid H-matrix는 semi-random 방식과 partly parallel 방식을 결합하여 하드웨어로 구현시 partly parallel 방식이 가지는 디코더의 복잡도가 감소되는 장점을 유지하면서 인코더 또한 semi-random 방식을 사용하여 복잡도가 감소된다. 제안한 구조를 사용하여 LDPC 인코더와 디코더를 설계하고 합성하여 기존의 결과와 비교하였다.

• 전기학회논문지
• /
• 제57권6호
• /
• pp.1036-1041
• /
• 2008

Periodic disturbance is practically occurred in several engineering applications, especially in data storage systems. However, recently addressed controls for such problem were mostly dealt with its deterministic nature, which is rarely practical in real-time implementation. We present an adaptive control approach for DC motor systems with periodic stochastic disturbance whose frequency and magnitude are both random variables. We establish adaptive state feedback control which is linearly composed of nominal and corrective control parameter matrices. The former is derived from a nominal system model voiding disturbance and the latter is constructed from a disturbed system model by using Lyapunov stability theory. We carry out computer simulation to evaluate the proposed control methodology and compare to the recently addressed control method to demonstrate its superiority.