• 한국통신학회논문지
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• 제25권3A호
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• pp.406-411
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• 2000

무선 ATM 시스댐에서 효율적인 데이터 전송을 위해서는 우수한 오류 정정 부호가 필요하다. 본 논문에서는 오류 정정 부호로 RCPSCCC를 사용한 적응 하이브리드 ARQ 기법을 제안한다. 이 RCPSCCC의 부호율은 채널 환경과 데이터 종류에 따라 조절된다. 레일레이와 라이시안 페이딩 채널에서 BER(Bit Error Ratio)과 WER(Word Error Ratio)의 상한계(upper bound)를 outer 부호기 와 inner 부호기 의 유효 자유거리(effective free distances)만을 사용하여 유도한다. RCPSCCC를 적응 하이브리드 ARQ 프로토콜에 적용함으로서 효율적인 데이터 전송을 할 수 있다.

• 자동차안전학회지
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• 제3권2호
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• pp.28-33
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• 2011

This paper presents driving path estimation algorithm for adaptive cruise control system and advanced emergency braking system using multi-sensor fusion. Through data collection, yaw rate filtering based road curvature and vision sensor road curvature characteristics are analyzed. Yaw rate filtering based road curvature and vision sensor road curvature are fused into the one curvature by weighting factor which are considering characteristics of each curvature data. The proposed driving path estimation algorithm has been investigated via simulation performed on a vehicle package Carsim and Matlab/Simulink. It has been shown via simulation that the proposed driving path estimation algorithm improves primary target detection rate.

• 한국군사과학기술학회지
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• 제5권3호
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• pp.113-119
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• 2002

A target adaptive guidance(TAG) algorithm is proposed employing the near-zone signal that can be measured from an infrared seeker. The guidance order is composed of a conventional PNG command and an additional command to be calculable from an additional LOS rate between a hot point of target and a required intercept point. The characteristic of the near-zone signal is similar to that of LOS rate that is inversely proportional to the square of time-to-go. Hence the proposed scheme can be applied to real systems with no estimator for time-to-go. From analysis results on the miss distance with perfect missile and perfect seeker, it follows that the proposed TAG algorithm guarantees missile to be ideally guided to the required intercept point. And it is less affected by the TAG start time and a proportional navigation ratio than other TAG schemes using a LOS rate such as a step bias or a ramp bias.

• ETRI Journal
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• 제22권3호
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• pp.10-18
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• 2000

Although an n-th order cross-entropy (nCE) error function resolves the incorrect saturation problem of conventional error backpropagation (EBP) algorithm, performance of multilayer perceptrons (MLPs) trained using the nCE function depends heavily on the order of nCE. In this paper, we propose an adaptive learning rate to markedly reduce the sensitivity of MLP performance to the order of nCE. Additionally, we propose to limit error signal values at out-put nodes for stable learning with the adaptive learning rate. Through simulations of handwritten digit recognition and isolated-word recognition tasks, it was verified that the proposed method successfully reduced the performance dependency of MLPs on the nCE order while maintaining advantages of the nCE function.

• Transactions on Control, Automation and Systems Engineering
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• 제4권4호
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• pp.277-282
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• 2002

This paper proposes a nonlinear adaptive controller based on back-stepping method for tracking reference substrate concentration by manipulating dilution rate in a continuous baker's yeast cultivating process in stirred tank bioreactor. Control law is obtained from Lyapunov control function to ensure asymptotical stability of the system. The Haldane model for the specific growth rate depending on only substrate concentration is used in this paper. Due to the uncertainty of specific growth rate, it has been modified as a function including the unknown parameter with known bounded values. The substrate concentration in the bioreactor and feed line are measured. The deviation from the reference is observed when the external disturbance such as the change of the feed is introduced to the system. The effectiveness of the proposed controller is shown through simulation results in continuous system.

• IEIE Transactions on Smart Processing and Computing
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• 제5권5호
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• pp.303-309
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• 2016

This paper presents a channel-adaptive rate control algorithm for low delay video coding. The main goal of the proposed method is to adaptively use the unknown available channel bandwidth while reducing the end-to-end delay between encoder and decoder. The key idea of the proposed algorithm is for the status of the encoder buffer to indirectly reflect the mismatch between the available channel bandwidth and the generated bitrate. Hence, the proposed method fully utilizes the unknown available channel bandwidth by monitoring the encoder buffer status. Simulation results show that although the target bitrate mismatches the available channel bandwidth, the encoder efficiently adapts the given available bandwidth to improve the peak signal-to-noise ratio.

• 한국통신학회논문지
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• 제24권12A호
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• pp.1862-1867
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• 1999

무선 ATM 시스템에서 효율적인 데이터 전송을 위해서는 우수한 오류 정정 부호가 필요하다. 본 논문에서는 오류 정정 부호로 RCPSCCC를 사용한 적응 하이브리드 ARQ 기법을 제안한다. 이 RCPSCCC의 부호율은 채널 환경과 데이터 종류에 따라 조절된다. 레일레이와 라이시안 페이딩 채널에서 BER(Bit Error Ratio)과 WER(Word Error Ratio)의 상한계(upper bound)를 outer 부호기의 inner 부호기의 유효 자유거리(effective free distances)만을 사용하여 유도한다. RCPSCCC를 적응 하이브리드 ARQ 프로토콜에 적용함으로서 효율적인 데이터 전송을 할 수 있다.

• Nuclear Engineering and Technology
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• 제48권6호
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• pp.1315-1320
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• 2016

The present study aims to predict the heat transfer characteristics around a square cylinder with different corner radii using multivariate adaptive regression splines (MARS). Further, the MARS-generated objective function is optimized by particle swarm optimization. The data for the prediction are taken from the recently published article by the present authors [P. Dey, A. Sarkar, A.K. Das, Development of GEP and ANN model to predict the unsteady forced convection over a cylinder, Neural Comput. Appl. (2015) 1-13]. Further, the MARS model is compared with artificial neural network and gene expression programming. It has been found that the MARS model is very efficient in predicting the heat transfer characteristics. It has also been found that MARS is more efficient than artificial neural network and gene expression programming in predicting the forced convection data, and also particle swarm optimization can efficiently optimize the heat transfer rate.

• 방송공학회논문지
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• 제24권5호
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• pp.785-790
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• 2019

본 논문에서는 적응적 중첩 블록 움직임 보상 방법을 이용한 새로운 양방향 프레임 율 향상 방법을 제안한다. 제안한 방법에서는 참조 영역의 움직임 복잡도에 기반한 적응적 중첩 블록 음직임 보상 방법이 사용된다. 움직임 복잡도는 이전에 부호화된 움직임 추정과정에서 판단되므로 중첩 블록 움직임 보상 방법에 적응적 기법을 추가적인 계산 복잡도 없이 적용 가능하다. 실험결과는 제한한 방법이 기존 방법에 비해 객곽적, 주관적 화질에서 우수함을 보여준다.

• Journal of the Optical Society of Korea
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• 제14권1호
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• pp.22-27
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• 2010

Bit error rate (BER) monitoring is the ultimate goal of performance monitoring in all digital transmission systems as well as optical fiber transmission systems. To achieve this goal, optimization of the decision threshold must also be considered because BER is dependent on the level of decision threshold. In this paper, we analyze a pseudo-error counting scheme and propose an algorithm to achieve both BER monitoring and adaptive decision threshold optimization in optical fiber transmission systems. To verify the effectiveness of the proposed algorithm, we conduct computer simulations in both Gaussian and non-Gaussian distribution cases. According to the simulation results, BER and the optimum decision threshold can be estimated with the errors of < 20% and < 10 mV, respectively, within 0.1-s processing time in > 40-Gb/s transmission systems.