• Title/Summary/Keyword: normalized k

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Kurtosis Driven Variable Step-Size Normalized Least Mean Square Algorithm for RF Repeater

  • Han, Yong-Sik;Yang, Woon-Geun
    • Journal of information and communication convergence engineering
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    • v.8 no.2
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    • pp.159-162
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    • 2010
  • This paper presents a new Kurtosis driven Variable Step-Size Normalized Least Mean Square (KVSSN-LMS) algorithm to prevent repeater from oscillation due to feedback signal of radio frequency (RF) repeater. To get better Mean Square Error (MSE) performance, step-size is adjusted using the kurtosis. The proposed algorithm shows the better performance of steady state MSE. The proposed algorithm shows a better ERLE performance than that of KVSS-LMS, VSS-NLMS, NLMS algorithms.

Layer Normalized LSTM CRFs for Korean Semantic Role Labeling (Layer Normalized LSTM CRF를 이용한 한국어 의미역 결정)

  • Park, Kwang-Hyeon;Na, Seung-Hoon
    • Annual Conference on Human and Language Technology
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    • 2017.10a
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    • pp.163-166
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    • 2017
  • 딥러닝은 모델이 복잡해질수록 Train 시간이 오래 걸리는 작업이다. Layer Normalization은 Train 시간을 줄이고, layer를 정규화 함으로써 성능을 개선할 수 있는 방법이다. 본 논문에서는 한국어 의미역 결정을 위해 Layer Normalization이 적용 된 Bidirectional LSTM CRF 모델을 제안한다. 실험 결과, Layer Normalization이 적용 된 Bidirectional LSTM CRF 모델은 한국어 의미역 결정 논항 인식 및 분류(AIC)에서 성능을 개선시켰다.

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Layer Normalized LSTM CRFs for Korean Semantic Role Labeling (Layer Normalized LSTM CRF를 이용한 한국어 의미역 결정)

  • Park, Kwang-Hyeon;Na, Seung-Hoon
    • 한국어정보학회:학술대회논문집
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    • 2017.10a
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    • pp.163-166
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    • 2017
  • 딥러닝은 모델이 복잡해질수록 Train 시간이 오래 걸리는 작업이다. Layer Normalization은 Train 시간을 줄이고, layer를 정규화 함으로써 성능을 개선할 수 있는 방법이다. 본 논문에서는 한국어 의미역 결정을 위해 Layer Normalization이 적용 된 Bidirectional LSTM CRF 모델을 제안한다. 실험 결과, Layer Normalization이 적용 된 Bidirectional LSTM CRF 모델은 한국어 의미역 결정 논항 인식 및 분류(AIC)에서 성능을 개선시켰다.

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An Algorithm for multiple local alignment with Normalized Local Alignment Algorithm (정규화된 지역 정렬 알고리즘을 적용한 다중 지역 정렬 알고리즘)

  • Jang, Suk-Bong;Lee, Gye-Sung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05b
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    • pp.1019-1022
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    • 2003
  • 두 서열을 비교하여 유사성(similarity)이나 상동성(homology)를 찾기 위한 서열 정렬 방법 중에서 지역 정렬에 많이 사용되는 Smith-Waterman 알고리즘의 제한점인 Mosaic effect와 Shadow effect를 극복하기 위한 효율적인 방법을 살펴보고, 하나의 최대 값이 아닌 다수개의 최대 값을 찾아 다수개를 정렬함으로써 서열내에 존재 할 수 있는 다수개의 지역 정렬을 찾고 Normalized sequence alignment 알고리즘을 이용하여 서열 정렬된 결과들의 우선 순위를 매겨본다.

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Invariance Properties for Statistics Based on the Sample Lorenz Curve

  • Kang, Suk-Bok;Cho, Young-Suk
    • Journal of the Korean Data and Information Science Society
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    • v.14 no.3
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    • pp.653-660
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    • 2003
  • In this paper, we prove that the transformed sample Lorenz curve, normalized sample Lorenz curve, and the test statistics for testing of normality based on the normalized sample Lorenz curve and the modified Lorenz curve which were introduced by Kang and Cho (2001a, 2002) are location and scale invariant statistics.

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Diagnosis of Pathological Speech Signals Using Wavelet Transform

  • Jo, Cheol-Woo;Kim, Dae-Hyun
    • Speech Sciences
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    • v.4 no.2
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    • pp.17-24
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    • 1998
  • In this paper a method to diagnose pathological voices using wavelet transform is sug gested. Pathological voices are collected from hospital and analyzed by the suggested method. Normal voices are collected separately and analyzed. Then the results are compared to find the differences in their characteristics. Three level wavelet transform is used. Normalized energy ratios between the levels and normalized peak-to-peak values are used as parameters. As a result, it was possible to distinguish between normal and pathological voices.

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Goodness-of-fit Test for the Extreme Value Distribution Based on Multiply Type-II Censored Samples

  • Kang, Suk-Bok;Cho, Young-Seuk;Han, Jun-Tae
    • Journal of the Korean Data and Information Science Society
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    • v.19 no.4
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    • pp.1441-1448
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    • 2008
  • We propose the modified quantile-quantile (Q-Q) plot using the approximate maximum likelihood estimators and the modified normalized sample Lorenz curve (NSLC) plot for the extreme value distribution based on multiply Type-II censored samples. Using two example data sets, we picture the modified Q-Q plot and the modified NSLC plot.

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A CHARACTERIZATION OF THE GENERALIZED PROJECTION WITH THE GENERALIZED DUALITY MAPPING AND ITS APPLICATIONS

  • Han, Sang-Hyeon;Park, Sung-Ho
    • Communications of the Korean Mathematical Society
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    • v.27 no.2
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    • pp.279-296
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    • 2012
  • In this paper, we define a generalized duality mapping, which is a generalization of the normalized duality mapping and using this, we extend the notion of a generalized projection and study their properties. Also we construct an approximating fixed point sequence using the generalized projection with the generalized duality mapping and prove its strong convergence.

Removal of 2,4,6-trinitrotoluene(TNT) by Indigenous Grasses, Abutilon Avicennae and Aeschynomene Indica, in Hydroponic Culture (토착 야초류(어저귀, 자귀풀)의 수경재배를 이용한 2,4,6-trinitrotoluene(TNT) 분해 연구)

  • Kwon, Young-seok;Kim, Dong-ill;Choung, Youn-kyoo;Bae, Bum-han;Lee, In-sook;Chang, Yoon-young
    • Journal of Korean Society on Water Environment
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    • v.20 no.1
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    • pp.32-36
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    • 2004
  • In this study, uptake and translocation of 2,4,6-trinitrotoluene(TNT) by plant in a hydroponic culture was quantified with two indigenous plant species, Aeschynomene indica and Abutilon avicennae on various initial concentrations of TNT ranging from 20 to 80 mgTNT/L. Experiments were sterilized to exclude the activity of microorganisms and conducted in duplicate. Weight loss of two plant species in added TNT culture media was higher than in control. At over 2OmgTNTIL, there appeared to be phytotoxicity from TNT as indicated by severe yellow-chlorosis and increase of falling leaves. TNT removal rate normalized(K) to the plant fresh weight of Abutilon avicennae and Aeschynomene indica was that the higher TNT concentrations resulted in lower TNT removal rate normalized(K) to the plant fresh weight. Approximately 96% of the TNT in viable microflora-hydroponic culture was removed after 96h of the experiments.