• Journal of Institute of Control, Robotics and Systems
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• v.15 no.10
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• pp.982-987
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• 2009

On the controller switching time, even though on-line/off-line controller outputs are the same, a problem which deteriorates the performance of bumpless transfer can happen in case that any discrepancy between the two controller inputs is transferred directly to the controller output. In this paper, we analyze the cause of that phenomenon in existing research results and propose a new method which improves that problem. In order to solve this problem, the off-line controller is augmented to an anti-windup structure and an improved bumpless transfer method is derived by using the changed input of the off-line controller instead of the plant input. We exemplify the performance of the proposed method by comparing with the performance of the existing method via numerical examples.

• JSTS:Journal of Semiconductor Technology and Science
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• v.15 no.1
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• pp.101-113
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• 2015

The Monte-Carlo (MC) technique is very efficient solution for statistical problem. Various MC methods can easily be applied to statistical circuit performance analysis. Recently, as the number of process parameters and their impact, has increasingly affected circuit performance, a sufficient sample size is required in order to consider high dimensionality, profound nonlinearity, and stringent accuracy requirements. Also, it is important to identify the performance of circuit as soon as possible. In this paper, Fast MC method is proposed for efficient analysis of circuit performance. The proposed method analyzes performance using enhanced-precision Latin Hypercube Sampling Monte Carlo (LHSMC). To increase the accuracy of the analysis, we calculate the effective dimension for the low discrepancy value on critical parameters. This will guarantee a robust input vector for the critical parameters. Using a 90nm process parameter and OP-AMP, we verified the accuracy and reliability of the proposed method in comparison with the standard MC, LHS and Quasi Monte Carlo (QMC).

• Journal of the Korean Data and Information Science Society
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• v.17 no.4
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• pp.1387-1395
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• 2006

This paper considers testing for the ratio of two exponential means. We propose a solution based on a Bayesian decision rule to this problem in which no subjective input is considered. The criterion for testing is the Bayesian reference criterion (Bernardo, 1999). We derive the Bayesian reference criterion for testing the ratio of two exponential means. Simulation study and a real data example are provided.

• 한국데이터정보과학회:학술대회논문집
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• 2006.11a
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• pp.205-213
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• 2006

This paper considers testing for the ratio of two exponential means. We propose a solution based on a Bayesian decision rule to this problem in which no subjective input is considered. The criterion for testing is the Bayesian reference criterion (Bernardo, 1999). We derive the Bayesian reference criterion for testing the ratio of two exponential means. Simulation study and a real data example are provided.

• The Transactions of the Korean Institute of Power Electronics
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• v.9 no.5
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• pp.457-466
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• 2004

In this paper, a modified converter is presented and analyzed to use as a photovoltaic converter. And also a new parallel driving scheme is proposed to increase output power and to reduce the output voltage ripple. The ratio of the output to the input voltage of the modified converter is equal to that of the boost converter. The difference between both converters is the composition of output terminal. Owing to the discrepancy, a working voltage of the output capacitor of the modified converter becomes lower, thus the capacitance value of the capacitor can be smaller than that of the boost converter. The proposed parallel driving is based on the modified converter and a current-mode-control method. It gives a good solution for alleviating the current sharing unbalance problem of conventional parallel operations. It reduces the output voltage ripple by means of increasing the equivalent switching frequency without additional switching losses. The validity of the proposed parallel driving strategy is verified through computer-aided simulations and experimental results.