• 제목/요약/키워드: variance factor

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주성분분석에 의한 $A_{2}O$공법의 처리성 평가 (Treatability Evaluation of $A_{2}O$ System by Principal Component Analysis)

  • 김복현;이재형;이수환;윤조희
    • 한국환경보건학회지
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    • 제18권2호
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    • pp.67-74
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    • 1992
  • The lab-scale biological A$_{2}$O system was applied from treating piggery wastewater highly polluted organic material which nitrogen and phosphorous are much contained relatively in conversion with other wastewater. The objective of this study was to investigate the effect of variance parameters on the treatability of this system according to operation conditions. An obtained experimental data were analysed by using principal component analysis (PCA) method. The results are summarized as follows: 1. From Varimax rotated factor loading in raw wastewater, variance of factor 1 was 36.8% and cumulative percentage of variance from factor 1 to factor 4 was 81.5% and of these was related to BOD, TKN and BOD loading. 2. In anaerobic process, variance of factor 1 was 33.5% and cumulative percentage of variance from factor I to factor 4 was 81.8% and of these was related to PO$_{4}$-P, BOD, DO and Temperature. 3. In anoxic process, variance of factor 1 was 30.1% and cumulative percentage of variance from factor i to factor 4 was 84.3% and of these was related to pH, DO, TKN and temperature. 4. In aerobic process, variance of factor 1 was 43.8% and cumulative percentage of variance from factor 1 to factor 4 was 81.5% and of these was highly related to DO, PO$_{4}$-P and BOD. 5. It was better to be operated below 0.30 kg/kg$\cdot$day F/M ratio to keep over 90% of BOD and SS, 80% of TKN, and 60% of PO$_{4}$-P in treatment efficiencies. 6. Treatment efficiencies was over 93% of BOD and SS, 81% of TKN and 60% of PO$_{4}$-P at over 20$^{\circ}$C, respectively.

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영유아 식행동 검사도구 개발 및 타당도 검정 (The Development and Validation of Eating Behavior Test Form for Infants and Young Children)

  • 한영신;김수안;이윤나;김정미
    • 대한지역사회영양학회지
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    • 제20권1호
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    • pp.1-10
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    • 2015
  • Objectives: This study was conducted to develop and validate Eating Behaviors Test form (EBT) for infants and young children, including eating behaviors of their parents and parental feeding practices. Methods: Draft version of EBT form was developed after a pretest on 83 mothers. It was consisted of 42 questions including 3 components; eating behavior of children, eating behavior of parents, and parental feeding practices. Using these questionnaires, the first survey was conducted on 320 infants and children, 1 to 6 year old, for exploratory factor analysis, and the second survey was collected on 731 infants and children for confirmatory factor analysis. Results: Exploratory factor analysis on 42 questions of EBT form resulted in 3 factor model for children's eating behavior, 3 factor model for parents' eating behavior, and 1 factor model for parental feeding practices. Three factors for children's eating behavior could be explained as follows; factor 1, pickiness (reliability ${\alpha}=0.89$; explanation of variance=27.79), factor 2, over activity (${\alpha}=0.80$, explanation of variance=16.51), and factor 3, irregularity (${\alpha}=0.59$, explanation of variance=10.01). Three factors for mother's eating behavior could be explained as follows; factor 1,irregularities (${\alpha}=0.73$, explanation of variance=21.73), factor 2, pickiness (${\alpha}=0.65$, explanation of variance= 20.16), and factor 3, permissiveness (${\alpha}=0.60$, explanation of variance=19.13). Confirmatory factor analysis confirmed an acceptance fit for these models. Internal consistencies for these factors were above 0.6. Conclusions: Our results indicated that EBT form is a valid tool to measure comprehensive eating and feeding behaviors for infants and young children.

다구찌 기법과 요인실험의 실험 데이터의 산포 크기에 따라 결과 변화 고찰 (Study on the Result Changes with the Size of the Variance in Taguchi Method and Factor Experimental)

  • 이상복
    • 품질경영학회지
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    • 제41권1호
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    • pp.119-134
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    • 2013
  • Purpose: The purpose of this paper is to show whether the results are changed with respect to the variance of the data, by analysis of data obtained from the Taguchi experimental techniques and general experiment. Because which cannot be prove by mathematical Formula, through experimental examples will show. Methods: Taguchi experiments were carried out with paper Helicopter experiment. Experimental Data are obtained by special designed Drop Test Equipment. While Experimental value arbitrarily changed, we looked at how Significant control Factor of Taguchi Methods and Factor experiments are changed. This process cannot be expressed as a Mathematical formula, but showed as a numerical example. Results: Saw significant changes in the factors when data is outside a certain range of the experimental data. By Test of Equivalence Variance, Experiment data is verified reliability. To find the Control Factor, Taguchi Method is better than the general experiment. Conclusion: We know that a Significant Factor is changed with the range of Variance of Experiment Data. The value of this paper is verified change process with Numerical Data obtained Experiment.

시변 망각 인자를 사용하는 최소 자승 추정의 극점 -배치 자기동조 알고리즘에 관한 연구 (A Study on Reduced Variance Self-Tuning Algorithm Using a Variable Forgetting Factor)

  • 박찬영;도미선;박민용;이상배
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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    • pp.305-308
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    • 1988
  • Pole assignment controller with variable forgetting factor is generalizaed to allow the output and/or input variance to be reduced. The algorithm can give significant reductions in variance for little extra computational effort and is presented for servo-tracking using leat-squares estimation. Moreover, the use of a variable forgetting factor with correct choice of information bound can avoid 'blowing-up' of the covariance matrix of the estimates and subsequent unstable control.

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The Range of confidence Intervals for ${\sigma}^{2}_{A}/{\sigma}^{2}_{B}$ in Two-Factor Nested Variance Component Model

  • Kang, Kwan-Joong
    • Journal of the Korean Data and Information Science Society
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    • 제9권2호
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    • pp.159-164
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    • 1998
  • The two-factor nested variance component model with equal numbers in the cells are given by $y_{ijk}\;=\;{\mu}\;+\;A_i\;+\;B_{ij}\;+\;C_{ijk}$ and the confidence intervals for the ratio of variance components, ${\sigma}^{2}_{A}/{\sigma}^{2}_{B}$ are obtained in various forms by many authors. This article shows the probability ranges of these confidence intervals on ${\sigma}^{2}_{A}/{\sigma}^{2}_{B}$ proved by the mathematical computation.

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Linear Measurement Error Variance Estimation based on the Complex Sample Survey Data

  • Heo, Sunyeong;Chang, Duk-Joon
    • 통합자연과학논문집
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    • 제5권3호
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    • pp.157-162
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    • 2012
  • Measurement error is one of main source of error in survey. It is generally defined as the difference between an observed value and an underlying true value. An observed value with error may be expressed as a function of the true value plus error term. In some cases, the measurement error variance may be also a function of the unknown true value. The error variance function can be rewritten as a function of true value multiplied by a scale factor. This research explore methods for estimation of the measurement error variance based on the data from complex sampling design. We consider the case in which the variance of mesurement error is a linear function of unknown true value, and the error variance scale factor is small. We applied our results to the U.S. Third National Health and Nutrition Examination Survey (the U.S. NHANES III) data for empirical analyses, which has replicate measurements for relatively small subset of initial respondents's group.

사영을 이용한 일원 분산성분 (Variance components in one-factor random model by projections)

  • 최재성
    • Journal of the Korean Data and Information Science Society
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    • 제22권3호
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    • pp.381-387
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    • 2011
  • 본 논문은 일원 확률모형의 가정하에 실험자료를 분석할 때 확률모형과 관련된 분산성분을 추정하는 문제를 다루고 있다. 분산성분의 추정방법으로 적률법을 이용하고 있다. 적률법을 이용할 때 필요한 두 가지 계산과정은 요인의 변동에 따른 제곱합과 제곱합의 기대값 계산이다. 제곱합의 계산으로 사영을 어떻게 이용하는 가를 논의하고 있다. 제곱합의 기대값 계산을 위해 분산성분의 계수로 관측되는 관련행렬의 고유근을 이용하는 방법을 다루고 있다. 분산성분의 적률추정량으로 사영과 고유근을 이용한 분산성분의 추정방법이 Hartley (1967)의 합성법보다 간편하고 효율적인 방법임을 논의하고 있다.

3차 PLL System에서의 Flicker Noise 분석 (Flicker Noise Analysis in The Third-order of The PLL System)

  • 김형도;김경복;조형래
    • 한국전자파학회논문지
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    • 제11권5호
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    • pp.707-714
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    • 2000
  • 본 논문에서는 PLL 시스템의 보다 실제적 분석 모델인 3차 시스템을 통하여 저주파 대역에서 문제가 되는 flicker noise가 어떠한 양상을 나타내는가를 알아보려 한다. 3차에서 해석의 복잡성으로 수학적인 분석이 난해하지만 최적화 된 2차 필터를 통한 pseudo-damping factor의 도입으로 3차 시스템에서의 flicker variance의 해석이 용이하도록 시도하였다. 3차에서의 flicker variance의 수식적인 유도를 보이고 이를 2차 시스템에서 발생되는 flicker noise에 대한 variance와 비교하려 한다.

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3차 PLL SYSTEM에서의 flicker noise 분석 (Flicker noise analysis in the third-order of the PLL system)

  • 김형도;김경복;오용선;조형래
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 1999년도 추계종합학술대회
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    • pp.230-235
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    • 1999
  • 본 논문에서는 PLL 시스템의 보다 실제적인 모델인 3차 시스템을 통하여 저주파 대역에서 문제가 되는 flicker noise가 어떠한 양상을 나타내는가를 알아보려 한다. 3차에서 해석의 복잡성으로 그 수학적 분석의 난해함을 나타내지만 최적화 된 2차 필터를 통한 pseudo -damping factor의 도입으로 전체적인 flicker variance의 해석이 용이하도록 시도하였다. 3차에서의 flicker variance의 수식적인 유도를 보이고 이를 2차 시스템에서 발생되는 flicker noise 에 대한 variance와 비교 하려한다

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A Class of Multi-Factor Designs for Estimating the Slope of Response Surfaces

  • Park, Sung H.
    • 품질경영학회지
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    • 제14권1호
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    • pp.26-32
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    • 1986
  • A class of multi-factor designs for estimating the slope of second order response surfaces is presented. For multi-factor designs the variance of the estimated slope at a point is a function of the direction of measurement of the slope and the design. If we average the variance over all possible directions, the averaged variance is only a function of the point and the design. By choice of design, it is possible to make this variance constant for all points equidistant from the design origin. This property is called "slope-rotatability over all directions", and the necessary and sufficient conditions for a design to have this property are given and proved. The class of design with this property is mainly discussed.

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