• Journal of applied mathematics & informatics
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• 제6권2호
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• pp.661-668
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• 1999

Reliability estimation using Gibbs sampler considered for modeling mixture exponential reliability problems. Gibbs sampler is developed to compute the features of the posterior distribution. Bayesian estimation of complicated functions requires simpler esti-mation techniques due to the mathematical difficulties involved in the Bayes approach. The Maximum likelihood estimator and the Gibbs estimator of reliability of the system are derived. By simula-tion risk behaviors of derived estimators are compared. model de-termination based on relative error is considered. A numerical study with a simulated data set is provided.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1997년도 추계학술대회 논문집
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• pp.454-457
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• 1997

The purpose of this study is to develop an optimal model, using existing models, that is able to estimate the amount of spatter utilizing artificial neural network in the short circuit transfer mode of gas metal arc (GMA) welding. The amount of spatter generated during welding can become a barometer which represents the process stability of metal transfer in GMA welding, and it depends on some factors which constitute a periodic waveforms of welding current and arc voltage in short circuit GMA welding. So, the 12 factors, which could express the characteristics for the waveforms, and the amount of spatter are used as input and output variables of the neural network, respectively. Two neural network models to estimate the amount of spatter are proposed: A neural network model, where arc extinction is not considered, and a combined neural network model where it is considered. In order to reduce the calculation time it take to produce an output, the input vector and hidden layers for each model are optimized using the correlation coefficients between each factor and the amount of spattcr. The est~mation performance of each optimized model to the amount of spatter IS assessed and compared to the est~mation performance of the model proposed by Kang. Also, through the evaluation for the estimation performance of each optimized model, it is shown that the combined neural network model can almost perfectly predict the amount of spatter.

• Journal of Communications and Networks
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• 제3권4호
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• pp.334-341
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• 2001

The provision of QoS control is a key of the successful deployment of multimedia networks. Buffer management plays an important role in QoS control. Therefore, this paper proposes a novel QoS buffer management algorithm named GREEN (Global Random Early Estimation for Nipping), which extends the concepts of ERD (early random drop) and RED (random early detection). Specifically, GREEN enhances the concept of "Random" to "Global Random" by globally considering the random probability function. It also enhances the concept of "Early" to "Early Esti mation" by early estimating the network status. For performance evaluation, except compared with RED, extensive simulation cases are performed to probe the characteristics of GREEN.

• 대한전자공학회논문지SP
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• 제40권5호
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• pp.417-425
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• 2003

ITU-T(International Telecommunication Union-Telecommunication standardization sector)와 MPEG(Moving Picture Experts Group)에 의해서 최근 표준화가 완성된 H.264는 가변 블록 크기 움직임 추정, 복수참조영상, 1/4화소 움직임 예측/보상, 4×4 정수 DCT(Integer Discrete Cosine Transform), 율-왜곡 최적화(Rate-Distortion Optimization) 등의 새로운 부호화 기술로 H.263, MPEG-4 등 기존 비디오 표준에 비해 더 좋은 부호화 효율을 제공하고 있다. 그러나 새로운 부호화 기술들은 H.264 의 전반적인 복잡도를 심화시키는 주된 요인이기도 하다. 따라서, H.254 의 실제 응용을 용이하게 하기 위해서는 이러한 기술에 대한 고속 알고리즘이 요구된다. 본 논문에서는 율-왜곡 최적화를 통한 부호화 모드 결정시 부호화기의 복잡도에서 가장 큰 비중을 차지하는 가변 블록 크기 움직임 추정 및 공간예측 부호화를 효율적으로 생략하여 부호화 모드 결정을 빠르게 수행하는 고속 모드 결정법을 제안한다. 실험결과, 제안된 방법은 부호화 효율의 손실이 거의 없으면서도 계산법을 약 4배 향상시킨다.

• 한국정밀공학회지
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• 제14권6호
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• pp.22-27
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• 1997

In general, the load which acts on the structure is almost independent of time in many locations. In this case. It is difficult to estimate the life with the service load history, because the structure is on the multi- axial and multi-point loading states. In this study, the service load of the excavator which is widely used in industry field was calculated using measured cylinder pressures and displacements. The fatigue life was estimated using the multi-axial and multi-point load counting method. Service load history of 4 pin joint which act independently each other is yielded by mult-axial and multi-point load counting method. The stress spectrum is yielded by superposition of the results of FEM stress analysis applied unit load. Palm- gren-Miner's cumulative Damage is 0.000804 for Von Mises equivalent stress sequence by one side fillet weld S-N curve. This result agress with Bench test results. As a result of this study, the fatigue life esti- mation using the multi-axial and multi-axial and multi-point load counting method is useful.