• Title/Summary/Keyword: Normalization

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CONTINUATION THEOREMS OF THE EXTREMES UNDER POWER NORMALIZATION

  • Barakat, H.M.;Nigm, E.M.;El-Adll, M.E.
    • Journal of applied mathematics & informatics
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    • v.10 no.1_2
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    • pp.1-15
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    • 2002
  • In this paper an important stability property of the extremes under power normalizations is discussed. It is proved that the restricted convergence of the Power normalized extremes on an arbitrary nondegenerate interval implies the weak convergence. Moreover, this implication, in an important practical situation, is obtained when the sample size is considered as a random variable distributed geometrically with mean n.

Annual Yearly Load Forecasting by Using Seasonal Load Characteristics With Considering Weekly Normalization (주단위 정규화를 통하여 계절별 부하특성을 고려한 연간 전력수요예측)

  • Cha, Jun-Min;Yoon, Kyoung-Ha;Ku, Bon-Hui
    • Proceedings of the KIEE Conference
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    • 2011.07a
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    • pp.199-200
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    • 2011
  • Load forecasting is very important for power system analysis and planning. This paper suggests yearly load forecasting of considering weekly normalization and seasonal load characteristics. Each weekly peak load is normalized and the average value is calculated. The new hourly peak load is seasonally collected. This method was used for yearly load forecasting. The results of the actual data and forecast data were calculated error rate by comparing.

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Rejection of Impulsive Noise and Baseline Wandering Using Morphological Operators (형태연산자를 이용한 심전도신호에 있어서의 임펄시브 노이즈와 기저선의 흔들림의 제거)

  • Kim, Chang-Jae;Nam, Seung-Woo;Shin, Gun-Soo;Lee, Myoung-Ho
    • Proceedings of the KOSOMBE Conference
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    • v.1990 no.11
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    • pp.110-113
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    • 1990
  • A new approach to impulsive noise rejection and background normalization of digitized electrocardiogram signals is presented using mathematical morphological operators that incoporate the shape information of a signal. A brief introduction to these nonlinear signal processing operators, as well as detailed description of the new algorithm, is presented. Empirical results show that the new algorithm has good performance in impulsive noise rejection and background normalization.

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Illumination Normalization Method for Robust Eye Detection in Lighting Changing Environment (조명변화에 강인한 눈 검출을 위한 조명 정규화 방법)

  • Xu, Chengzhe;Islam, Ihtesham Ul;Kim, In-Taek
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.955-956
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    • 2008
  • This paper presents a new method for illumination normalization in eye detection. Based on the retinex image formation model, we employ the discrete wavelet transform to remove the lighting effect in face image data. The final result based on the proposed method shows the better performance in detecting eyes compared with previous work.

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THE CONVERGENCE RATES IN THE ASYMMETRIC LAWS OF LARGE NUMBER FOR NEGATIVELY ASSOCIATED RANDOM FIELDS

  • Ko, Mi-Hwa
    • Honam Mathematical Journal
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    • v.34 no.2
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    • pp.209-217
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    • 2012
  • Convergence rates in the law of large numbers for i.i.d. random variables have been generalized by Gut[Gut, A., 1978. Marc inkiewicz laws and convergence rates in the law of large numbers for random variables with multidimensional indices, Ann. Probab. 6, 469-482] to random fields with all indices having the same power in the normalization. In this paper we generalize these convergence rates to the identically distributed and negatively associated random fields with different indices having different power in the normalization.

The Bi-level Image Mapping Using Density Information in Character Patterns (문자패턴에서의 밀도정보를 이용한 이진영상 매핑)

  • 김봉석;강선미;양정윤;양윤모;김덕진
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.8
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    • pp.8-15
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    • 1993
  • This paper describes a normalization of character which is contained in the character recognition process. Line and dot density is computed on input character image and then image mapping is executed into destination. Also recognition is processed using overlap-partitioning of character image and extraction of 4 directional feature primitives. The validity of proposed nonlinear normalization algorithm could be verified by increment of recognition rate.

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A Frequency-Domain Normalized MBD Algorithm with Unidirectional Filters for Blind Speech Separation

  • Kim Hye-Jin;Nam Seung-Hyon
    • The Journal of the Acoustical Society of Korea
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    • v.24 no.2E
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    • pp.54-60
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    • 2005
  • A new multichannel blind deconvolution algorithm is proposed for speech mixtures. It employs unidirectional filters and normalization of gradient terms in the frequency domain. The proposed algorithm is shown to be approximately nonholonomic. Thus it provides improved convergence and separation performances without whitening effect for nonstationary sources such as speech and audio signals. Simulations using real world recordings confirm superior performances over existing algorithms and its usefulness for real applications.

Real-Time Two Hands Tracking System

  • Liu, Nianjun;Lovell, Brian C.
    • Proceedings of the IEEK Conference
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    • 2002.07c
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    • pp.1491-1494
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    • 2002
  • The paper introduces a novel system of two hands real-time tracking based on the unrestricted hand skin segmentation by multi color systems. After corer-based segmentation and pre-processing operation, a label set of regions is created to locate the two hands automatically. By the normalization, template matching is used to find out the left or right hand. An improved fast self-adaptive tracking algorithm is applied and Canny filter is used for hand detection.

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Comparison of the Dynamic Time Warping Algorithm for Spoken Korean Isolated Digits Recognition (한국어 단독 숫자음 인식을 위한 DTW 알고리즘의 비교)

  • 홍진우;김순협
    • The Journal of the Acoustical Society of Korea
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    • v.3 no.1
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    • pp.25-35
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    • 1984
  • This paper analysis the Dynamic Time Warping algorithms for time normalization of speech pattern and discusses the Dynamic Programming algorithm for spoken Korean isolated digits recognition. In the DP matching, feature vectors of the reference and test pattern are consisted of first three formant frequencies extracted by power spectrum density estimation algorithm of the ARMA model. The major differences in the various DTW algorithms include the global path constrains, the local continuity constraints on the path, and the distance weighting/normalization used to give the overall minimum distance. The performance criterias to evaluate these DP algorithms are memory requirement, speed of implementation, and recognition accuracy.

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A Suggestion to Establish Statistical Treatment Guideline for Aircraft Manufacturer (국산 복합재료 시험데이터 처리지침 수립을 위한 제언)

  • Suh, Jangwon
    • Journal of Aerospace System Engineering
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    • v.8 no.4
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    • pp.39-43
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    • 2014
  • This paper examines the statistical process that should be performed with caution in the composite material qualification and equivalency process, and describes statistically significant considerations on outlier finding and handling process, data pooling through normalization process, review for data distributions and design allowables determination process for structural analysis. Based on these considerations, the need for guidance on statistical process for aircraft manufacturers who use the composite material properties database are proposed.