• Advances in Computational Design
• /
• 제9권3호
• /
• pp.213-227
• /
• 2024

In this study, a framework for coupling of the convolution quadrature time-domain boundary element method (CQBEM) and image-based finite element method (IMFEM) is presented for 2-D elastic wave propagation. This coupling method has three advantages: 1) the finite element modeling for heterogeneous areas can be performed without difficulties by using digital data for the analysis model, 2) wave propagation in an infinite domain can be calculated with high accuracy by using the CQBEM, and 3) a small time-step size can be used. In general, a small time-step size cannot be used in the classical time-domain boundary element method. However, the CQBEM used in this analysis can address a small time-step size. This makes it possible to couple the CQBEM and image-based FEM which require a small-time step size. In this study, the formulation and validation of the pro-posed method are described and confirmed by solving fundamental elastic wave scattering problems. As a numerical example, elastic wave scattering in inhomogeneous media is demonstrated using the proposed coupling method.

• Journal of information and communication convergence engineering
• /
• 제2권1호
• /
• pp.1-4
• /
• 2004

In this paper, We analyzes how a synchronization error affects receiving system when using OFDM(Orthogonal Frequency Division Multiplexing) transmission method in wireless LAN channel environment in which we can efficiently transmit wide-band information data. As a performance improvement method, performance distortion can be improved by applying convolution coding. As a result, in OFDM system, we could see that the higher a frequency offset is, the worse performance will be, and we could see that there was performance improvement by applying convolution coding in OFDM system in order to reach (BER=$10^{-3}$). However, when we use 64QAM (64Quadrature Amplitude Modulation), there was a huge influence between carriers by frequency offset at 0.05, 0.1.

• 방송공학회논문지
• /
• 제8권2호
• /
• pp.163-171
• /
• 2003

고정 및 이동수신환경에서 결합 소스/채널 부호화 기법을 MPEG-4(Moving picture Experts Group) 비디오 전송에 적용하여 대역폭 사용 효율을 높이는 방안에 대하여 논하였다. 채널환경은 랜덤잡음환경과 이동수신환경을 고려하였다. 소스부호화기는 MPEG-4 비디오, 채널부호화기는 RCPC(Rate Compatible Punctured Convolution) 그리고 변조방식은 QPSK(Quadrature Phase Shift Keying)를 적용하였다. 이 논문에서는 여러가지 채널상태(Es/No)에 따른 율-왜곡특성에 대해 분석하여 소스비트율과 채널부호율 간에 최적의 상충점(Trade-off point)을 결정하였고, 결합 소스/채널 부호화 기법과 일반적인 고정부호율 전송기법을 비교하여 결합 소스/채널부호화의 효율성을 보였다.

• 한국콘텐츠학회:학술대회논문집
• /
• 한국콘텐츠학회 2003년도 추계종합학술대회 논문집
• /
• pp.303-307
• /
• 2003

본 논문에서는 고속 데이터 전송을 위한 UWB 시스템에 BPSK(Binary Phase Shift Keying)와 QPSK(Quadrature Phase Shift Keying)의 변조방식을 적용하고 고속 전송으로 발생 할 수 있는 높은 에러율을 감소시키기 위해 부호율(code rate)이 1/2 이고 구속장(constraint length)이 K=7인 convolution code를 적용하였다. 그리고 다중사용자의 접속으로 인하여 발생 할 수 있는 다중사용자 간섭을 고려하여 Time-hopping sequence를 적용하였으며, 수신단에서 viterbi decodig 알고리즘을 사용하여 수신된 신호를 복호함으로서 AWGN(Additive White Gaussian Noise) channel 환경에서의 UWB 통신시스템의 성능변화를 분석하였다.

• Structural Engineering and Mechanics
• /
• 제83권2호
• /
• pp.259-272
• /
• 2022

The branch of electronics that uses an organic solar cell or conductive organic polymers in order to yield electricity from sunlight is called photovoltaic. Regarding this crucial issue, an artificial intelligence-based predictor is presented to investigate the vibrational behavior of the organic solar cell. In addition, the generalized differential quadrature method (GDQM) is utilized to extract the results. The validation examination is done to confirm the credibility of the results. Then, the deep neural network with fully connected layers (DNN-FCL) is trained by means of Adam optimization on the dataset whose members are the vibration response of the design-points. By determining the optimum values for the biases along with weights of DNN-FCL, one can predict the vibrational characteristics of any organic solar cell by knowing the properties defined as the inputs of the mentioned DNN. To assess the ability of the proposed artificial intelligence-based model in prediction of the vibrational response of the organic solar cell, the authors monitored the mean squared error in different steps of the training the DNN-FCL and they observed that the convergency of the results is excellent.