• Journal of the Korean Society for Railway
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• v.18 no.3
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• pp.194-202
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• 2015

In this paper, dynamic modeling with viscoelastic properties of a human body resting on a seat is presented to quantitatively analyze ride quality of passengers exposed to vertical vibrations. In describing the motions of a seated body, a 5 degree-of-freedom multibody model from the literature is investigated. The viscoelastic characteristics of seats used in railway vehicles are mathematically formulated with nonlinear stiffness characteristics and convolution integrals representing time delay terms. Transfer functions for the floor input are investigated and it is found that these are different in accordance with the input magnitude due to nonlinear characteristics of the seat. Measured floor input at the railway vehicle is used to analyze realistic human vibration characteristics. Frequency weighted RMS acceleration values are calculated and the effects of the seat design parameters on the frequency weighted RMS acceleration values are presented.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.38 no.2
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• pp.227-236
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• 2001

This paper proposes a frequency-domain partially adaptive algorithm, called a censoring algorithm, to reduce the computational complexity of the frequency domain adaptive array. The proposed censoring algorithm determines the existence of interferences in the frequency-domain at each frequency bin using a constant false alarm rate (CFAR) processor. The censoring algorithm adapts only those parts of the weights that correspond to the frequency bins expected to contain interferences. The censoring algorithm is also expanded to overcome the signal cancellation phenomenon caused by smart jammers. Accordingly, a censoring spatial smoothing, which combines the censoring algorithm with spatial smoothing, is proposed. Simulation results show that the proposed algorithms are effective in removing interferences with only part of the computational complexity of conventional algorithms yet with the same level of performance.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.40 no.6
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• pp.124-131
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• 2003

In this paper, we propose a Progressive scalable video coding algorithm using frequency weighting in the DCT domain. Since the human visual system (HVS) can be modeled as a nonlinear point transformation, called the modulation transfer function (MTF), we tan use the frequency weighting matrix to enhance the video image quality. We change this frequency weighting matrix into the frequency shift matrix to apply to the bit-plane coding method for the fine granular scalable (FGS) video coding We also define a new error metric JNDE (just noticeable difference) to measure the perceptual image quality in terms of human vision.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.3
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• pp.706-712
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• 2014

This paper describes a determining method of weighting factors for two-point interpolation filters. The interpolation filters is implemented by applying modifying functions to the linear interpolation. Here, there is a problem of determining weights when modifying functions being engaged. The previous method determined the weights by imposing c1-continuity on the interpolation kernels. However, this approach is unable to use the property of individual modifying functions. In this paper, on the basis of spectral analyses of the modifying functions and image signals, we provide a determination method by experimental results. Thus, many experiments are carried out to do so. The results indicate that different weights are required for different modifying functions and also the proposed method outperforms than the previous method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.3
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• pp.533-541
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• 2001

In this paper, we proposed lowpass filter using all-pass sums of flat delay characteristics. this filter consisted of all-pass filter of parallel structure, the general analog filter is impossible to adjust the phase and the delay, using the Proposed filter, it has advantage to adjust them. And, we compared and analyzed this filter with passband width and magnitude characteristics, and the relation of group delay characteristics and cut-off frequency. Also, in order to obtain desired cut-off frequency, forming the weighing, we obtained desired cut-off frequency and group delay characteristics.

• The Journal of the Acoustical Society of Korea
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• v.15 no.5
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• pp.113-117
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• 1996

We study the similarities in timbre by varying both the form of the spectrum and the fundamental frequencies. A three dimensional configuration was drawn as a result of multidimensional scaling analysis. This configuration suggests that the difference in fundamental frequencies is one of the factors that change the timbre of complex tones. Also we considered the possibility of expressing the broad perception of timbre using auditory spectrum. The experimental result is well agreed with the calculation using the frequency weight matrix excluding the small value of auditory spectrum.

• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.217-220
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• 2002

본 연구는 폐쇄된 임의의 공간상에서 2개의 마이크로폰 어레이를 이용하여 마이크로폰에 수신된 신호들의 도착 시간차를 추정하는 새로운 알고리즘을 제안한다. 제안된 알고리즘은 입력 음성신호를 Discrete wavelet transform을 이용하여 인간의 청각 특성과 가장 유사한 주파수 해상도를 갖도록 대역 분할한 후 각 주파수 대역에서 신호 대 잡음비를 구하여 신호 대 잡음비가 가장 높은 대역만 선택적으로 취하고 해당 대역에서만 최종적인 시간 지연 값을 추정하게 된다. 최종 시간 지연 측정에 사용된 알고리즘은 기존의 CPSP에 해당 대역의 주파수 SNR을 가중치로 주어 구하게된다. 이러한 대역 분할 가중방식은 다양한 형태의 동적인 잡음 환경 하에서 안정적인 성능을 가질 수 있다. 제안된 알고리즘은 저주파와 고주파 각각의 모의 잡음환경 하에서 컴퓨터 실험을 통해 성능을 입증하도록 한다.

• Journal of Korea Multimedia Society
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• v.14 no.5
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• pp.650-657
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• 2011

This paper proposes a novel bit allocation algorithm for H.264 scalable extension(SE) based on a human visual system (HVS) to improve the coding efficiency. The proposed algorithm is consist of two stages: visual weighting model and visual weighting-based bit allocation algorithm. In the first stage, the visual weighting for each macroblock (MB) is analyzed according to the region of interests. Then the adaptation of the visual weighting into the bit allocation routine for each quality layer is performed for improving the visual quality. In the simulation results, it is observed that the proposed scheme can improve the subjective and objective video quality in the same bit rate, compared to the previous scalable video coding in H.264.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• v.2
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• pp.415-418
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• 2006

적응 횡단 필터는 상관 전 처리 기법으로서 실시간 간섭 신호 제거가 가능한 시간 영역 신호처리 기법을 사용한다. 적응 횡단 필터는 협대역 간섭 신호에 좋은 성능을 나타내며, 구현이 용이하고 높은 효율성을 갖는다. 적응 횡단 필터의 구성은 입력 샘플 신호의 지연 탭을 위한 FIR 필터와 전파 간섭 신호의 크기와 주파수를 결정하는 가중치 생성부로 나눌 수 있다. 본 논문에서는 가중치 생성부에 적용 되는 알고리즘 중 상대적으로 연산량이 적은 LMS와 NLMS를 적용한 적응 횡단 필터를 설계하고, GPS 수신기에 적용 하였다. 실제 측정치를 이용한 다양한 실험에 의한 항법 성능 평가를 통하여 NLMS가 LMS보다 좋은 성능을 나타냄을 확인하였다.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 2020.07a
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• pp.553-556
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• 2020

최근 이미지 인식을 위한 Convolutional Neural Network(CNN) 모델의 경량화에 관한 연구가 활발하게 이루어지고 있다. 그중 양자화는 모델을 구성하는 가중치의 크기를 낮추는 방법이다. 기존의 CNN 모델에서 가장 큰 비중을 하는 Fully Connected Layer(FCL)는 내부적으로 32 Bit의 실수 행렬로 표현된다. 본 논문에서는 미리 학습된 실수 가중치를 더 작은 비트의 정수 행렬로 양자화한다. 양자화된 행렬에 대해서 영상 압축 등에서 사용하는 Discrete Cosine Transform(DCT)을 통해 주파수 영역으로 변환한 후 고주파 영역을 생략하는 손실압축 방법을 제안한다. 실험을 통해 그 과정에서 손실에 따른 정확도의 변화를 나타낸다.