• 제어로봇시스템학회:학술대회논문집
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• 1998.10a
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• pp.58-63
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• 1998

B.Widrow established fundamental relations between the least-mean-square (LMS) algorithm and the digital Fourier transform［1］. By extending these relations, we proposed the short time spectra analysis system using the LMS algorithm［2]. In that paper, we used the normal LMS algorithm on the thought of dealing with only real analytical signal. This algorithm minimizes the real mean-square by recursively altering the complex weight vector at each sampling instant. But, the short time spectra analysis sometimes deals with the complex signal that is outputted from complex analog filter. So, in order to optimize and develop this methods, furthermore it is necessary to derive an algorithm for the complex analytical signal. In this paper, we first discuss the new adaptive system for the spectra analysis using the complex LMS algorithm and then derive convergence condition, time constant of coefficient adjustment and frequency resolution by extending the discussion. Finally, the effectiveness of the proposed method is experimentally demonstrated by applying it to the measurement of transfer performance on complex analog filter.

• Journal of Electrical Engineering and Technology
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• v.3 no.2
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• pp.218-223
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• 2008

A new Pareto-optimal design algorithm, requiring least computational work, is proposed for a single phase AC solenoid actuator with multi-design-objectives: maximizing holding force and minimizing eddy current loss simultaneously. In the algorithm, the design space is successively reduced by a suitable factor, as iteration repeats, with the center of pseudo-optimal point. At each iteration, the objective functions are approximated to a simple second-order response surface with the CCD sampling points generated within the reduced design space, and Pareto-optimal solutions are obtained by applying($1+{\lambda}$) evolution strategy with the fitness values of Pareto strength.

• Proceedings of the KIEE Conference
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• 1987.07a
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• pp.797-800
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• 1987

A new current control scheme is suggest.ed which is suitable for ac servo inverter drives. The scheme uses a simple block diagram to produce the reference stator voltage vector, and the vector nearest to it is chosen for switching. With the same arrangment three kinds of operation modes are possible : (1) constant rate sampling, (2) constant current deviation, (3) adaptive current deviation. In mode (1) current deviation after one period is minimized, while in mode (2) and (3) intervals between switchings are maximized.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.10a
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• pp.813-816
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• 2001

본 논문에서 제안한 알고리듬은 동영상의 한 프레임내에서 계산할 화소를 적응적으로 샘플링하여 전체 계산량을 감소시키면서도, 우수한 성능을 나타낸다. 동영상의 움직임 추정에 있어서, 전역 탐색 블록 정합은 최적의 성능을 나타내지만, 많은 계산량을 갖는 단점이 있기 때문에 계산량을 줄이기 위한 많은 알고리듬이 발표되었다. 본 알고리듬은 한 프레임내에서 영상이 복잡한 부분에서는 많은 수의 화소를 정합에 이용하며, 단순한 부분에서는 적은 수의 화소를 샘플링 하여 보다 적은 계산량으로 움직임 벡터를 산출한다. 제안된 알고리듬은 전역 탐색 블록 정합 알고리듬에 대해서 연산량을 31.52%로 줄였으며, 97.76%의 PSNR 을 보여주었다. 이는 종래의 부분 탐색 알고리듬들에 비해 뒤지지 않는 성능을 나타낸다.

• Proceedings of the KIEE Conference
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• 2003.07d
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• pp.2146-2148
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• 2003

This paper present a modified repetitive control scheme for an optical storage system to track a periodic reference signal with dynamic change in period. Periodic disturbances can be adequately attenuated using the concept of repetitive control, provided the period is know. An optical storage system supports various speeds. To deal with time varying periodic disturbances, an proposed repetitive controller is turned based on repetitive control to change sampling frequency to follow the change of reference Period. A modified repetitive control scheme is proposed and implement on experimental set up of a optical disk driver.

• Current Optics and Photonics
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• v.6 no.3
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• pp.288-296
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• 2022

We propose and experimentally demonstrate a novel photonic compressive sensing (CS) scheme for acquiring sparse radio frequency signals with adjustable compression ratio in this paper. The sparse signal to be measured and a pseudo-random binary sequence are modulated on consecutively connected chirped pulses. The modulated pulses are compressed into short pulses after propagating through a dispersive element. A programmable optical filter based on spatial light modulator is used to realize spectral segmentation and demultiplexing. After spectral segmentation, the compressed pulses are transformed into several sub-pulses and each of them corresponds to a measurement in CS. The major advantage of the proposed scheme lies in its adjustable compression ratio, which enables the system adaptive to the sparse signals with variable sparsity levels and bandwidths. Experimental demonstration and further simulation results are presented to verify the feasibility and potential of the approach.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.286-289
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• 2009

센서 네트워크 구조에서는 많은 수의 센서 노드들이 지속적으로 센서 데이터를 베이스 스테이션(Base Station)으로 전송한다. 각 노드의 샘플링 주기는 베이스 스테이션으로 전송되는 길목의 네트워크 자원인 대역폭, 계산 비용 등에 지대한 영향을 끼친다. 본 논문에서는 샘플링 대상의 스트림 데이터 특성에 따른 각 노드의 샘플링 주기에 관련된 새로운 적응적 샘플링 기법을 제안한다. 본 논문에서는 KF(Kalman-Filter) 에 기반을 둔 예측 기법을 사용하였다. 이는 각 노드는 KF의 예측값과 실측값의 차를 사용하여 허용된 범위 안에서 자동적으로 샘플링 주기를 조정하는 방식이다. 따라서, 우리는 샘플링 대상의 데이터 특성에 따른 우선순위에 기반 네트워크 자원을 효과적으로 사용하고 Dual Kalman Filter(DKF) 기법과 결합하여 센서 네트워크에서의 가장 큰 문제 중 하나인 에너지 소비의 최소화하면서 효과적으로 근사 데이터 전송하도록 하여 에너지 소비량을 줄였다.

• Communications for Statistical Applications and Methods
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• v.29 no.2
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• pp.239-250
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• 2022

In many applications, we frequently encounter correlated multiple outcomes measured on the same subject. Joint modeling of such multiple outcomes can improve efficiency of inference compared to independent modeling. For instance, in developmental toxicity studies, fetal weight and number of malformed pups are measured on the pregnant dams exposed to different levels of a toxic substance, in which the association between such outcomes should be taken into account in the model. The number of malformations may possibly have many zeros, which should be analyzed via zero-inflated count models. Motivated by applications in developmental toxicity studies, we propose a Bayesian joint modeling framework for continuous and count outcomes with excess zeros. In our model, zero-inflated Poisson (ZIP) regression model would be used to describe count data, and a subject-specific random effects would account for the correlation across the two outcomes. We implement a Bayesian approach using MCMC procedure with data augmentation method and adaptive rejection sampling. We apply our proposed model to dose-response analysis in a developmental toxicity study to estimate the benchmark dose in a risk assessment.

• Journal of Broadcast Engineering
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• v.14 no.5
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• pp.638-649
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• 2009

Image resizing (or scaling) is one of the most essential issues for the success of visual service because image data has to be adapted to the variety of display features. For 2D imaging, the image scaling is generally accomplished by 2D image re-sampling (i.e., up-/down-sampling). However, when it comes to stereoscopic 3D images, 2D re-sampling methods are inadequate because additional consideration on the third dimension of depth is not incorporated. Practically, stereoscopic 3D image scaling is process with left/right images, not stereoscopic 3D image itself, because the left/right Images are only tangible data. In this paper, we analyze stereoscopic 3D image scaling from two aspects: geometrical deformation and frequency-domain aliasing. A number of 3D displays are available in the market and they have various screen dimensions. As we have more varieties of the displays, efficient stereoscopic 3D image scaling is becoming more emphasized. We present the recommendations for the 3D scaling from the geometric analysis and propose a disparity-adaptive filter for anti-aliasing which could occur during the image scaling process.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.2
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• pp.447-454
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• 2011

Power-line interference(PLI) can distort certain regions in analysing the ECG signal. In particular, the regions such as P and R wave that are important element in diagnosing with arrhythmia is expressed as different type of noise according to the case whether power-line frequency is multiples of sampling frequency and or not. Noise characteristics is also divided into linearity and non-linearity. In this paper, adaptive subtraction method for removing variable PLI of ECG signal is proposed. We classify the multiple relationship between power line and sampling frequency as Multiple and Non-multiple. PLI of Linear segment is extracted through moving average filter, PLI of non-linear segment is extracted through the interference component that is extracted in the linear segment and stored in the temporary buffer. The performance of P wave and R wave detection is evaluated by using 119 data record of MIT-BIH arrhythmia database. The achieved scores indicate P wave detection rate of 97.91%, R wave detection rate of 96.66% and P wave detection rate of 99.01%, R wave detection rate of 97.93% accuracy respectively for Notch filter and proposed subtraction method.