• 산업공학
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• 제21권2호
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• pp.151-160
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• 2008

Defect size distribution is a probability density function for the defects that occur on wafers or glasses during semiconductor/LCD fabrication. It is one of the most important information to estimate manufacturing yield using well-known statistical estimation methods. The defects are detected by automatic optical inspection (AOI) facilities. However, the data that is provided from AOI is not accurate due to resolution of AOI and its defect detection mechanism. It causes distortion of defect size distribution and results in wrong estimation of the manufacturing yield. In this paper, I suggest a size conversion method and a maximum likelihood estimator to overcome the vague defect size information of AOI. The methods are verified by the Monte Carlo simulation that is constructed as similar as real situation.

• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2006년도 춘계종합학술대회
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• pp.107-110
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• 2006

This work presents a low complexity maximum-likelihood decoder for signal detection in VBLAST-STBC system, which employs non-square O-STBC code rate 3/4. By stacking received symbols from different received symbolduration and applying QR decomposition resulting the special format of upper triangular matrix R, the proposed decoder is able to provide not only ML-like BER performance but also very low computational load. The low computational load and ML-like BER performance properties of the proposed decoder are verified by computer simulations.

• 품질경영학회지
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• 제37권4호
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• pp.16-22
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• 2009

The inflection S-shaped software reliability growth model (SRGM) proposed by Ohba(1984) is one of the most commonly used models and has been discussed by many authors. The main purpose of this paper is to estimate the parameters of Ohba's SRGM within the Bayesian framework by applying the Markov chain Monte Carlo techniques. While the maximum likelihood estimates for these parameters are well known, the Bayesian method for the inflection S-shaped SRGM have not been discussed in the literature. The proposed methods can be quite flexible depending on the choice of prior distributions for the parameters of interests. We also compare the Bayesian methods with the maximum likelihood method numerically based on the real data.

• 한국통신학회논문지
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• 제34권6C호
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• pp.656-663
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• 2009

최근 Ren에 의해 일반화된 직교 주파수 분할 다중 (orthogonal frequency division multiplexing: OFDM) 시스템을 위한 주파수 옵셋 추정 기법이 제안되었다. Ren 기법은 훈련 심벌의 구조에 관계없이 주파수 옵셋을 추정할 수 있으며, 추정 정확도 또한 훈련심벌에 좌우되지 않는다. 그러나 Ren의 기법은, 정수 주파수 옵셋의 검파 확률이 소수 주파수 옵셋에 민감하여, 소수 주파수 옵셋에 따라 정수 주파수 옵셋의 검파 확률이 변하는 문제가 있다. 본 논문에서는 정수 주파수 옵셋의 검파를 위하여 새로운 검파 기준을 세우고, 검파 기준과 최대 우도 기법을 (maximum likelihood: ML) 따르는 효율적인 정수 주파수 옵셋 검파 기법을 제안하였다. 제안한 기법은 소수 주파수 옵셋에 강인하며, 기존 Ren 기법보다 우수한 검파 확률을 가진다. 그리고 모의실험 결과를 통해 기존 기법보다 우수한 성능을 확인할 수 있다.

• ETRI Journal
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• 제24권2호
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• pp.161-171
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• 2002

This paper proposes a novel decision feedback differential phase detection (DF-DPD) for M-ary DPSK. A conventional differential phase detection method for M-ary Differential Phase Shift Keying (DPSK) can simplify the receiver architecture. However, it possesses a poorer bit error rate (BER) performance than coherent detection because of the prior noisy phase sample. Multiple-symbol differential detection methods, such as maximum likelihood differential phase detection, Viterbi-DPD, and DF-DPD using L-1 previous detected symbols, have attempted to improve BER performance. As the detection length, L, increases, the BER performance of the DF-DPD improves but the complexity of the architecture increases dramatically. This paper proposes a simplified DF-DPD architecture replacing the conventional delay and additional architecture with an accumulator. The proposed architecture also improves BER performance by minimizing the current differential phase noise through the accumulation of previous differential phase noise samples. The simulation results show that the BER performance of the proposed architecture approaches that of a coherent detection with differential decoding.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2018년도 춘계학술대회
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• pp.65-67
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• 2018

본 논문에서는 특정 공간의 흡연 여부를 감지하는 시스템을 소개한다. 제안하는 시스템은 라즈베리 파이로 이루어진 무선 애드혹 네트워크 기반 위에 구현되었다. 이는 상용 흡연 모니터링 시스템에 비하여 저가의 장치를 이용하여 경제적이며, 하나의 라즈베리파이를 이용한 또 다른 기존의 시스템에 비하여 확장성이 뛰어나다. 본 논문에서는 센서로부터 장시간 측정한 데이터를 이용하여 흡연 시와 비흡연 시 일산화탄소 농도의 확률밀도함수를 가우시안 함수로 근사화하였다. 이를 바탕으로 최대 우도 검파 (maximum likelihood detection) 기법을 이용하여, 일산탄소농도 값으로 흡연 상태를 추정하는 기법을 제안한다. 또한 애드혹 네트워크로 연결된 복수의 센서들로부터 수집한 값으로 흡연 상태를 추정하여 신뢰도를 높이고자 하였다.

• Communications for Statistical Applications and Methods
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• 제25권4호
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• pp.373-383
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• 2018

The spatial scan statistic is a widely used method to detect spatial clusters. The method imposes a large number of scanning windows with pre-defined shapes and varying sizes on the entire study region. The likelihood ratio test statistic comparing inside versus outside each window is then calculated and the window with the maximum value of test statistic becomes the most likely cluster. The results of cluster detection respond sensitively to the shape and the maximum size of scanning windows. The shape of scanning window has been extensively studied; however, there has been relatively little attention on the maximum scanning window size (MSWS) or maximum reported cluster size (MRCS). The Gini coefficient has recently been proposed by Han et al. (International Journal of Health Geographics, 15, 27, 2016) as a powerful tool to determine the optimal value of MRCS for the Poisson-based spatial scan statistic. In this paper, we apply the Gini coefficient to normal-based spatial scan statistics. Through a simulation study, we evaluate the performance of the proposed method. We illustrate the method using a real data example of female colorectal cancer incidence rates in South Korea for the year 2009.

• Journal of information and communication convergence engineering
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• 제4권4호
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• pp.151-154
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• 2006

In this work, a novel optimal multiuser detection (MUD) approach, which not only achieves the optimal maximum-likelihood (ML)-like performance but also has reasonably low computational complexity, for Space-time coded OFDM (ST-OFDM) systems is presented. In the proposed detection scheme, the signal model is firstly re-expressed into linearly equivalent one. Then, with the linearly equivalent signal model, a new jointly MUD algorithm is proposed to detect signals. The ML-like bit-error-rate (BER) performance and reasonably low complexity of the proposed detection are verified by computer simulations.

• 전자공학회논문지B
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• 제33B권11호
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• pp.83-96
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• 1996

On PR-IV magnetic recording systems, the maximum likelihood sequence detection (MLSD) method is optimum. But it has the problem of the complexity of the structure. The three level detection (TLD) method can be used, which has simpler structure than MLSD, but requires almost twice of power to achieve the same probbility of error as MLSD does. Therefore a new detection method (error controlled detection: ECD) is proposed which has much simpler structure than MLSD and gives much better performance than TLD. The simulation resutls show that the performance of ECD is better than that of TLD by approximaterly 0.5~1.3dB both in linear and nonlinear channels.

• 한국통신학회논문지
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• 제31권9C호
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• pp.840-845
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• 2006

본 논문은 광기록 채널에서 신호의 질을 평가하는 부분 응답 신호대잡음비(PRSNR) 방법을 신호 검출에 응용한 부분 응답 최대 유사도(PRML) 검출 방법을 제안한다. 비선형적인 요소가 많은 고밀도 광기록 채널을 적절히 적응 등화하기 위해서는 최대 PRSNR 값을 갖는 등화기를 선택하여야 한다는 것을 확인하였다. 제안한 PRML 검출 방법은 기존의 적응 등화기를 사용한 PRML 검출 방법과 비교하여 $8.5{\times}10-5$ 오류율에서 1.8dB의 성능 이득을 보인다.