• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2003년도 하계종합학술대회 논문집 Ⅳ
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• pp.1739-1742
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• 2003

본 논문에서는 입력영상의 휘도 신호에 Neyman-pearson Test를 이용하여 descramble error를 효과적으로 보정하는 기법을 제안한다. 아날로그 회로의 오차와 noise 의 영향으로 scramble 된 라인의 오프셋 값을 정확히 보상하지 못할 경우에 발생하는 descramble error를 scrambler/ descrambler 의 기기별 차이에 관계없이, 또한 scrambler 와 descrambler로부터 어떠한 정보 없이 descramble 시에 발생한 error 의 offset 값과 scramble 된 라인을 검출하여 보상하는 방법을 논하였다.

• 소음진동
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• 제9권6호
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• pp.1240-1246
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• 1999

A prior error estimator which is solving structural dynamic problems and which is based on the generalized-method, is developed. Since the proposed error estimator is computed with only previous information, the time step size can be adaptively selected without the feedback mechanism. This paper shows that the automatic time stepping algorithm using the error estimator performs an efficient time integration. To verify its efficiency, several examples are numerically investigated.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -1
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• pp.215-218
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• 2000

In this paper, a new algorithm for adaptive IIR filters based on equation error methods using the RLS algorithm is proposed. In the proposed algorithm, the concept of feedback of the scaled output error proposed by tin and Unbehauen is employed and the forgetting factor is varied in adaptation process for avoiding the accumulation of the estimation error for additive noise . The proposed algorithm has the good convergence property without the parameter estimation error under the existence of mea-surement noise.

• 대한수학회논문집
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• 제16권4호
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• pp.691-701
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• 2001

We computed zero mean Gaussian of average error bounds pf Simpsons quadrature with convariances in [2]. In this paper, we compute zero mean Gaussian of average error bounds between Simpsons quadrature and composite Simpsons quadra-ture on four consecutive subintervals. The reason why we compute these on subintervals is because these results enable us to compute a posteriori error bounds on the whole interval in the later paper.

• 한국항행학회논문지
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• 제11권3호
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• pp.313-318
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• 2007

본 논문은 FDA(Fault Detection Agent)의 설계와 구축을 설명한다. FDA는 홈 네트워크 환경에서 멀티미디어 원격 교육을 위한 소프트웨어 오류를 감지하기에 적합한 에이전트이다. 이 시스템은 ED, ES로 구성되어 있다. ED는 홈 네트워크 환경에서 멀티미디어 원격 교육을 위하여 훅 킹 기법으로 오류를 감지하는 에이전트이다. ES는 홈 네트워크 환경에서 멀티미디어 원격 교육을 위하여 오류를 공유하는 에이전트이다. 멀티미디어 공동 작업 환경의 관점에서 오류 공유는 협동 작업에 참가하는 참가자에게 상호작용적으로 오류를 공유한다. 훅 킹 방법과 가로채기 방법과의 비교를 통하여 효율성 분석을 하였다.

• Journal of Communications and Networks
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• 제17권1호
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• pp.12-20
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• 2015

Convolutional codes which are terminated by direct truncation (DT) and zero tail termination provide unequal error protection. When DT terminated convolutional codes are used to encode short messages, they have interesting error protection properties. Such codes match the significance of the output bits of common quantizers and therefore lead to a low mean square error (MSE) when they are used to encode quantizer outputs which are transmitted via a noisy digital communication system. A code construction method that allows adapting the code to the channel is introduced, which is based on time-varying convolutional codes. We can show by simulations that DT terminated convolutional codes lead to a lower MSE than standard block codes for all channel conditions. Furthermore, we develop an MSE approximation which is based on an upper bound on the error probability per information bit. By means of this MSE approximation, we compare the convolutional codes to linear unequal error protection code construction methods from the literature for code dimensions which are relevant in analog to digital conversion systems. In numerous situations, the DT terminated convolutional codes have the lowest MSE among all codes.

• 한국통신학회논문지
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• 제24권9B호
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• pp.1721-1730
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• 1999

본 논문에서는 이동 통신망과 같은 열악한 에러 환경을 고려한 부호화 알고리즘을 제안한다. 제안된 부호화기의 알고리즘은 인트라 프레임 부호화에는 벡터 양자화 기법을 적용하였으며 Classified VQ기법을 통해 유사 벡터 탐색에 필요한 부하를 절감하였다. 인터 프레임 부호화에는 압축 효율의 증대를 위하여 움직임의 변화가 없는 블록은 전송하지 않고, 전송하는 블록의 위치와 개수에 대한 정보를 두 프레임에 걸쳐 이중적으로 부가하는 이중 벡터 위치부호기법을 제안하였다. 또한 부호화된 비트열의 길이가 항등하도록 함으로써 발생된 에러의 전파현상을 방지하였으며 복호화 과정에서 제안된 이중 벡터 위치부호를 이용함으로써 주요 헤더 부분이 급격한 에러에 의해서 손상되더라도 올바른 복호화가 가능하도록 하였다. 부호화된 비트열에 실제 에러를 발생시킨 후에 복호화를 한 실험결과 기존의 부호화 기법인 H.263과 비교하였을 때 에러에 훨씬 강한 특성이 나타남을 알 수 있었다.

• Journal of Communications and Networks
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• 제12권2호
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• pp.168-173
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• 2010

Error concealment techniques are significant due to the growing interest in imagery transmission over error-prone channels. This paper presents a spatial error concealment technique for losslessly compressed images using least significant bit (LSB)-based data hiding to reconstruct a close approximation after the loss of image blocks during image transmission. Before transmission, block description information (BDI) is generated by applying quantization following discrete wavelet transform. This is then embedded into the LSB plane of the original image itself at the encoder. At the decoder, this BDI is used to conceal blocks that may have been dropped during the transmission. Although the original image is modified slightly by the message embedding process, no perceptible artifacts are introduced and the visual quality is sufficient for analysis and diagnosis. In comparisons with previous methods at various loss rates, the proposed technique is shown to be promising due to its good performance in the case of a loss of isolated and continuous blocks.

• Journal of the Korean Data and Information Science Society
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• 제28권3호
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• pp.709-720
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• 2017

In healthcare and medical research, many important variables have a measurement error such as body mass index and laboratory data. It is also not easy to collect samples of large size because of high cost and long time required to collect the target patient satisfied with inclusion and exclusion criteria. Beside, the demand for solving a complex scientific problem has highly increased so that a semiparametric regression approach could be of substantial value solving this problem. To address the issues of measurement error, small domain and a scientific complexity, we conduct a multivariable Bayesian smoothing under structural measurement error covariate in this article. Specifically we enhance our previous model by incorporating other useful auxiliary covariates free of measurement error. For the regression spline, we use a radial basis functions with fixed knots for the measurement error covariate. We organize a fully Bayesian approach to fit the model and estimate parameters using Markov chain Monte Carlo. Simulation results represent that the method performs well. We illustrate the results using a national survey data for application.

• 아시아태평양코퍼스연구
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• 제4권1호
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• pp.61-71
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• 2023

This study examines the effects of data-driven learning (DDL)-an approach employing corpora for inductive language pattern learning-on error identification in second language (L2) writing. The data consists of error identification instances from fifty-five participants, compared across different reference materials: the Corpus of Contemporary American English (COCA), dictionaries, and no use of reference materials. There are three significant findings. First, the use of COCA effectively identified collocational and form-related errors due to inductive inference drawn from multiple example sentences. Secondly, dictionaries were beneficial for identifying lexical errors, where providing meaning information was helpful. Finally, the participants often employed a strategic approach, identifying many simple errors without reference materials. However, while maximizing error identification, this strategy also led to mislabeling correct expressions as errors. The author has concluded that the strategic selection of reference materials can significantly enhance the effectiveness of error identification in L2 writing. The use of a corpus offers advantages such as easy access to target phrases and frequency information-features especially useful given that most errors were collocational and form-related. The findings suggest that teachers should guide learners to effectively use appropriate reference materials to identify errors based on error types.