• Proceedings of the Acoustical Society of Korea Conference
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• spring
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• pp.39-42
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• 2000

A bootstrap and aggregating (bagging) vector quantization (VQ) classifier is proposed for speaker recognition. This method obtains multiple training data sets by resampling the original training data set, and then integrates the corresponding multiple classifiers into a single classifier. Experiments involving a closed set, text-independent and speaker identification system are carried out using the TIMIT database. The proposed bagging VQ classifier shows considerably improved performance over the conventional VQ classifier.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.57
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• pp.123-129
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• 2000

The Bootstrap method proposed by Efron is non-parametric method which doesn't depend on the estimation of prior distribution refer to population. A typical statistical process control chart which is generally used is developed under the assumption that observations follow mutually independent and identically distributed within a sample and between samples. However, autocorrelation greatly affect the developed control chart under the assumption that observations are mutually independent. Many researchers showed that the result which was analyzed by using a typical control chart for the observations which has the correlation violated to the independence assumption can not be true. Therefore, we compared the standard method with bootstrap method and then evaluated them for x control chart and EWMA control chart by using bootstrap method which was proposed by Efron in the AR(1) model when the observations have correlation.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.30 no.2
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• pp.37-43
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• 2007

ANOVA is widely used for measurement system analysis. It assumes that the measurement error is normally distributed, which may not be seen in certain industrial cases. In this study, the exact and bootstrap confidence intervals for precision-to-tolerance ratio (PTR) are obtained for the cases where the measurement errors are normally and non-normally distributed and the reproducibility variation can be ignored. Lognormal and gamma distributions are considered for non-normal measurement errors. It is assumed that the quality characteristics have the same distributions of the measurement errors. Three different bootstrap methods of SB (Standard Bootstrap), PB (Percentile Bootstrap), and BCPB (Biased-Corrected Percentile Bootstrap) are used to obtain bootstrap confidence intervals for PTR. Based on a coverage proportion of PTR, a comparative study of exact and bootstrap methods is performed. Simulation results show that, for non-normal measurement error cases, the bootstrap methods of SB and BCPB are superior to the exact one.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.22 no.52
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• pp.347-354
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• 1999

Statistical Process Control(SPC) which uses control charts is widely used to inspect and improve manufacturing process as a effective method. A parametric method is the most common in statistical process control. Shewhart chart was made under the assumption that measurements are independent and normal distribution. In practice, this assumption is often excluded, for example, in case of (equation omitted) chart, when the subgroup sample is small or correlation, it happens that measured data have bias or rejection of the normality test. A bootstrap method can be used in such a situation, which is calculated by resampling procedure without pre-distribution assumption. In this study, applying bootstrap percentile method to (equation omitted) chart, it is compared and evaluated standard process control limit with bootstrap percentile control limit. Also, under the normal and non-normal distributions, where parameter is 0.5, using computer simulation, it is compared standard parametric with bootstrap method which is used to decide process control limits in process quality.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.25 no.2
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• pp.50-56
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• 2002

In this study, we establish bootstrap control limits for EWMA chart by applying the bootstrap method, called resampling, which could not demand assumptions about pre-distribution when the process is skewed and/or the normality assumption is doubt. The results obtained in this study are summarized as follows : bootstrap EWMA control chart is developed for applying bootstrap method to EWMA chart, which is more sensitive to small shifts of process. With the purpose of eliminating a skewness of the resampling distribution, the bootstrap control limits are established by using a modified residual, and its performance is analyzed by ARL. It is shown that the bootstrap EWMA control chart developed in this study includes the properties of standard EWMA control chart that is sensitive to a small shift, and detects process in out of control more quickly than standard EWMA chart.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.26 no.3
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• pp.39-49
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• 2003

Statistical process cintrol is intended to assist operators of a stable system in monitoring whether a change has occurred in the process, and it uses several control charts as main tools. In design and use of control chart, it is rational that probability of false alarm is minimized in stable process and probability of detecting shifts is maximized in out-of-control. In this study, we establish bootstrap control limits for robust M-estimator chart by applying the bootstrap method, called resampling, which could not demand assumptions about pre-distribution when the process is skewed and/or the normality assumption is doubt. The results obtained in this study are summarized as follows : bootstrap M-estimator control chart is developed for applying bootstrap method to M-estimator chart, which is more robust to keep ARL when process contain contaminate quality characteristic.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.920-923
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• 2009

기존의 동적 커널 업데이트 시스템에서 주로 사용되는 함수 단위의 재구성 기법으로는 트랩과 점프가 있다. 이러한 기법들을 사용하면 커널 서비스의 중단 없이 함수 단위로 커널을 업데이트할 수 있는 이점이 있다. 하지만 커널 업데이트 후, 프로세서가 분기 명령어를 처리하는 과정에 두 가지 문제점이 존재한다. 업데이트 함수에 업데이트가 필요한 함수 내의 분기 명령어 오퍼랜드 값을 그대로 복사하면 의미 없는 메모리 주소로 분기하게 된다. 또한 분기 명령어로 short jump를 사용하면, 현재 위치에서 8 비트 범위를 벗어난 주소공간에 존재하는 분기 함수에는 접근을 할 수 없는 문제를 안고 있다. 본 논문에서는 이러한 문제점들을 해결하기 위해 short jump 대신 long jump를 사용하는 방식을 제안하였다. 이를 위해 업데이트가 필요한 함수의 분기 명령어가 갖고 있는 오퍼랜드 값을 추출하여, 업데이트 함수의 분기 명령어가 정상적으로 동작할 수 있도록 오퍼랜드 값을 수정해주는 동적 커널 업데이트 시스템을 설계하고 구현하였다.

• The Transactions of the Korean Institute of Electrical Engineers B
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• v.55 no.8
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• pp.430-435
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• 2006

This paper presents a method about the efficiency analysis and the harmonic reduction of single phase NPC multi-level inverter with LC-trap filter and LCR output filter. The proposed LC-trap filter is comprised of a conventional LC output filter, by using LC-trap filter the need for high damping resistor and low LC cut-off frequency is eliminated. Also, low damping resistor is increased the efficiency of the output filter. Experimental verification of the proposed circuit is provided with single phase NPC multilevel inverter system and DSP controller.

• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.800-803
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• 2013

이메일을 기반으로 좀비PC 및 봇넷그룹을 탐지하는 알고리즘은 기존에 연구가 되었으나, 기존의 검증방식은 가상의 메일계정을 이용해 스팸메일을 수집하는 스팸트랩 시스템에서 추출한 이메일을 대상으로 하였다. 본 논문에서는 상용환경의 이메일을 대상으로 좀비PC를 탐지하고, 좀비PC를 이용한 추가 사이버 공격을 예방하기 위해 기존의 알고리즘을 보완하고, 이에 대한 좀비PC 탐지결과를 분석한다. 이를 통해, 주요 포탈 및 기업의 메일서버에서 수신하는 이메일을 대상으로 좀비IP를 탐지하여, 스팸메일을 차단하고 ISP와 연계하여 실제 조치를 유도할 수 있을 것으로 기대한다.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.22 no.6
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• pp.1265-1270
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• 2012

In this paper, we propose a new closest vector problem based interactive proof that is useful for authentication. Contribution of this paper is that the proposed protocol does not use a special form of a lattice, but a general lattice, which makes the protocol design very simple and easy to be proved. We prove its security in terms of completeness, soundness, simulatability.