• Journal of the Korean Institute of Intelligent Systems
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• v.17 no.4
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• pp.435-442
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• 2007

To reduce damage from high concentration ozone in the air, we have researched how to predict high concentration ozone before it occurs. High concentration ozone is a rare event and its reaction mechanism has nonlinearities and complexities. In this paper, we have tried to apply and consider as many methods as we could. We clustered the data using the fuzzy c-mean method and took a rejection sampling to fill in the missing and abnormal data. Next, correlations of the input component and output ozone concentration were calculated to transform more correlated components by modified log transformation. Then, we made the prediction models using Dynamic Polynomial Neural Networks. To select the optimal model, we adopted a minimum bias criterion. Finally, to evaluate suggested models, we compared the two models. One model was trained and tested by the transformed data and the other was not. We concluded that the modified transformation effected good to ideal performance In some evaluations. In particular, the data were related to seasonal characteristics or its variation trends.

• Communications of Mathematical Education
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• v.25 no.3
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• pp.557-575
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• 2011

The purpose of this paper is to analyze the way of teaching and learning logarithm in high school mathematics and provide practical suggestions for teaching logarithms. For such purpose, it reviewed John Napier's life and his ideas, the effect of logarithms on seventeenth century science, and a logarithmic scale and its methods of calculation. With this reviews, introduction of logarithms with function concept, logarithmic calculation with common logarithms, and the formula of converting to other logarithmic bases were reviewed for finding a new perspective of teaching and learning logarithms in high school mathematics. Through such historical and pedagogical reviews, this paper presented practical suggestions and comments about the way of teaching and learning logarithms in high school mathematics.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04c
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• pp.510-512
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• 2003

본 논문에서는 문서의 자동 분류를 위한 용어 빈도 가중치 계산 방법으로 Box-Cox변환기법을 응용한 정규화 용어빈도 가중치를 정의하고, 이를 문서 분류에 적응하였다. 여기서 Box-Cox 변환기법이란 자료를 정규분포화 할 때 적용하는 통계적인 변환방법으로서, 본 논문에서는 이를 응용하여 새로운 용어빈도가중치 계산법을 제안한다. 문서에서 등장한 용어 빈도는 너무 많거나 적게 등장할 경우, 중요도가 떨어지게 되는데, 이는 용어의 중요도가 빈도에 따른 정규분포로 모델링 될 수 있다는 것을 의미한다. 또한 정규화 가중치 계산방법은 기존의 용어빈도 가중치 공식과 비교할 때, 용어마다 계산방법이 달라져, 로그나 루트와 같은 고정된 가중치 방법보다는 좀더 일반적인 방법이라 할 수 있다. 신문기사 8000건을 대상으로 4개의 그룹으로 나누어 실험 한 결과, 정규화 용어빈도가중치 계산방법이 모두 우위의 분류 정확도롤 가져, 본 논문에서 제안한 방법이 타당함을 알 수 있다.

• 한국IT서비스학회:학술대회논문집
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• 2009.11a
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• pp.511-515
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• 2009

최근 정보기술의 발달과 함께 지속적으로 다양해지고 빨라지는 침입 방법에 대처하기 위해 정보를 보호하기 위한 새로운 방법이 요구되고 있는 실정이다. 이를 해결하기 위해 제안된 방법 중 하나가 네트워크 패킷 데이터에 대한 실시간 데이터 스트림 마이닝 알고리즘 기반의 비정상행위 탐지 기법이다. 이는 현재 발생하고 있는 패턴이 기존 패턴과 다를 경우 비정상행위로 간주되고 사용자에게 알려주는 방법으로, 지금까지 없었던 새로운 형태의 침입에도 대처할 수 있는 능동적인 방어법이라고 할 수 있다. 그러나 이 방법에서 네트워크 패킷 데이터 정보만을 통해 얻어낼 수 있는 정보에는 한계가 있다. 따라서, 본 논문에서는 보다 높은 정확도의 비정상행위 판정을 위한 다양한 환경의 로그들을 추출하여 처리에 적합한 형태로 변환하는 전처리 시스템을 제안한다.

• 한국지구물리탐사학회:학술대회논문집
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• 2010.10a
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• pp.185-188
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• 2010

• The Journal of the Acoustical Society of Korea
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• v.21 no.4
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• pp.361-373
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• 2002

In this paper, we propose a channel normalization method to improve the performance of CMS (cepstral mean subtraction) which is widely adopted to normalize a channel variation for speech and speaker recognition. CMS which estimates the channel effects by averaging long-term cepstrum has a weak point that the estimated channel is biased by the formants of voiced speech which include a useful speech information. The proposed Formant-broadened Cepstral Mean Subtraction (FBCMS) is based on the facts that the formants can be found easily in log spectrum which is transformed from the cepstrum by fourier transform and the formants correspond to the dominant poles of all-pole model which is usually modeled vocal tract. The FBCMS evaluates only poles to be broadened from the log spectrum without polynomial factorization and makes a formant-broadened cepstrum by broadening the bandwidths of formant poles. We can estimate the channel cepstrum effectively by averaging formant-broadened cepstral coefficients. We performed the experiments to compare FBCMS with CMS, PFCMS using 4 simulated telephone channels. In the experiment of channel estimation, we evaluated the distance cepstrum of real channel from the cepstrum of estimated channel and found that we were able to get the mean cepstrum closer to the channel cepstrum due to an softening the bias of mean cepstrum to speech. In the experiment of text-independent speaker identification, we showed the result that the proposed method was superior than the conventional CMS and comparable to the pole-filtered CMS. Consequently, we showed the proposed method was efficiently able to normalize the channel variation based on the conventional CMS.

• Journal of the Korean Institute of Telematics and Electronics
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• v.22 no.5
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• pp.69-74
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• 1985

In this paper five-order Butterworth Low pass active RC filter is designed by using FDNR (Frequency Dependent Ncgative Resistor) Method from LC ladder filter having the lowest sensitivity. In process of Transformation to SCF (Switched Capacitor Filter) from active RC filter, Bilinear Z Transfomation method is utilized. By the design of SCF using the bilinear Z transform method the problem of aliasing can be avoided, but the frequency distortion is generated. The transformation from analog filter to digital filter is not equal in the region of the cut off frequency caused by this effect. Avoiding the problem of this effect, we use prewarping method. The result shows that the prewarped SCF makes more remarkable improvement in the frequency distortion than SCF which is transformed by using bilinear Z transform.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.18 no.6
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• pp.642-653
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• 2008

This study deals with modeling of head-related transfer functions(HRTFs) using principal components analysis(PCA) in the time and frequency domains. Four PCA models based on head-related impulse responses(HRIRs), complex-valued HRTFs, augmented HRTFs, and log-magnitudes of HRTFs are investigated. The objective of this study is to compare modeling performances of the PCA models in the least-squares sense and to show the theoretical relationship between the PCA models. In terms of the number of principal components needed for modeling, the PCA model based on HRIR or augmented HRTFs showed more efficient modeling performance than the PCA model based on complex-valued HRTFs. The PCA model based on HRIRs in the time domain and that based on augmented HRTFs in the frequency domain are shown to be theoretically equivalent. Modeling performance of the PCA model based on log-magnitudes of HRTFs cannot be compared with that of other PCA models because the PCA model deals with log-scaled magnitude components only, whereas the other PCA models consider both magnitude and phase components in linear scale.

• Journal of the Korea Society of Computer and Information
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• v.12 no.3
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• pp.123-130
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• 2007

It is difficult to analyse images because of multiplicative characteristics of speckle noises in SAR images. In this paper. wavelet transform is proposed for restoring SAR images corrupted by speckle noise. The multiplicative noise is transformed into a form of additive noise and then the additive noise is denoised using wavelet thresholding selections such as VisuShrink, SureShrink, BayesShrink and modified BayesShrink. Experimental results on several test images show that the modified BayesShrink yields significantly superior image quality and better Peak Signal to Noise Ratio(PSNR).

• Korean Journal of Clinical Pharmacy
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• v.18 no.2
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• pp.132-136
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• 2008

생물학적동등성시험기준에 따라 플레록사신정 (Fleroxacin, 100 mg) 을 시험약으로 하고 메가로신정 100 mg을 대조약으로 하여 $2{\times}2$ 교차 시험법에 따라 건강한 성인 지원자 24명에게 3정 (fleroxacine, 300 mg/정) 씩을 경구투여한 후, 각 피험자들의 혈중 약물농도 데이터로부터 구한 혈중농도-시간곡선하면적 (AUCtmax.) 과 최고혈중농도 (Cmax) 등의 생체이용률 파라미터에 대해 통계학적으로 고찰하여 두 제제간의 생물학적동등성을 평가하였다. 혈중 약물농도는 HPLC/UV 검출기로 분석하다. 플레록사신정의 대조약과 시험약에 대한 동등성 여부를 종합적으로 판단하여 보면 생물학적동등성시험의 판단 기준인 2항목 (AUCt, Cmax) 에 대하여 두 가지 비교항목 중 AUCt 값의 경우 대조약은 $44.26{\pm}7.12{\mu}g{\cdot}hr/mL$, 시험약은 $4.11{\pm}1.63{\mu}g/mL$이며 두 약물의 로그변환한 평균치 차의 90% 신뢰구간은 log 0.9570 에서 log 1.0565 이다. Cmax 값의 경우 대조약은 $45.16{\pm}10.04{\mu}g{\cdot}hr/mL$, 시험약은 $3.78{\pm}1.01{\mu}g/mL$ 이며, 대조약과 시험약의 로그변환한 평균치 차의 90% 신뢰구간이 log 0.8369에서 log 1.0626 로서, AUCt 와 Cmax 두 항목 모두 log 0.8에서 log 1.25 이내이어야 한다는 생물학적동등성시험 기준을 충족시켰다. 이러한 결과들로부터, 시험약 플레록사신정 (Fleroxacin, 100mg)은 대조약인 메가로신정 100 mg 대하여 생물학적동등성의 판단 기준인 두 항목 AUCt와 Cmax에 있어서 생물학적으로 동등함을 알 수 있었다.