• Title/Summary/Keyword: 분산분해

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Preparation and Characterization of Monodispersed Zinc Oxide Fine Particles in Emulsions (에멀젼을 이용한 단분산 미세 산화아연 입자의 제조 및 특성)

  • Ju, Chang Sik;Ku, Jun Pyo
    • Applied Chemistry for Engineering
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    • v.9 no.6
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    • pp.846-851
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    • 1998
  • An experimental research on the preparation of zinc oxide fine particles in w/o emulsions was conducted. Precipitation solutions were zinc nitrate aqueous solutions with hexamethylenetetramine(HMTA) as precipitant. The precipitation solutions formed stable w/o emulsions with kerosine in the presence of Span 80. Homogeneous precipitation reaction occurred in the w/o emulsion after the resultant w/o emulsion was heated above the decomposition temperature of HMTA and zinc oxide particles were precipitated. In some case, zinc oxide particles of bi-modal distribution were obtained. However, zinc oxide fine particles of narrow particle size distribution could be obtained, even when the initial zinc concentration of precipitation solution and the conversion to zinc oxide are both higher that those in bulk homogeneous precipitation.

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Model Checking for Joint Modelling of Mean and Dispersion (평균과 산포의 동시 모형화에 대한 모형검토)

  • Ha, Il-Do;Lee, Woo-Dong;Cho, Geon-Ho
    • Journal of the Korean Data and Information Science Society
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    • v.8 no.2
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    • pp.195-209
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    • 1997
  • The joint modelling of mean and dispersion in quasi-likelihood models which greatly extend the scope of generalized linear models, is required in case that the dispersion parameter, the variance component of response variables, is not constant but changes by depending on any covariates. In this paper, by using statistical package GENSTAT(release 5.3.2, 1996) which makes a easily analyze real data through this joint modelling, we mention necessities that must consider this joint modelling rather than existing mean models through model checking based on graphic methods for esterase assay data introduced by Carrol and Ruppert(1987, pp.46-47), and then study methods finding reasonable joint model of mean and dispersion for this data.

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Hydrogen Storage in Ni Nanoparticles-Dispersed Multiwall Carbon Nanotubes (Ni Nanoparticles이 doping된 Multiwall Carbon Nanotubes의 수소저장 특성에 관한 연구)

  • Lee, Ho;Kim, Jin-Ho;Lee, Jai-Young
    • Transactions of the Korean hydrogen and new energy society
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    • v.13 no.1
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    • pp.74-82
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    • 2002
  • Ni nanoparticles이 표면에 분산된 mutiwall carbon nanotubes (MWNTs)의 수소저장 특성을 분석하였다. Metal nanoparticles의 분산 방법은 incipient wetness impregnation procedure을 사용하였는데, 이러한 Ni catalysts의 역할은 기존에 알려진 Li, K doping과 같은 개념으로 기상의 수소를 분해하여 carbon 표면에 chemical adsorption 시키는 역할을 하게 된다. 실제로 Ni nanoparticles이 6wt% loading된 경우에는 thermal desorption spectra를 분석한 결과 ~2.8wt% hydrogen이 ~340-520K의 온도범위에서 방출되는 것을 관찰할 수 있었다. Kissingers plot을 통해서 MWNTs와 hydrogen과 interaction energy를 구한 결과 ${\sim}31kJ/molH_2$를 얻을 수 있었으며 이 값은 기존의 SWNTs에 hydrogen이 physi-sorption에서 실험적으로 얻을 수 있었던 값보다 1.5배 큰 값이라고 할 수 있다. 자세한 수소저장 기구를 분석하기 위해서 FT-IR분석을 한 결과 C-Hn stretching vibrations이 관찰되었으며 mono-hydride와 weak di-hydride $sp^3$가 형성된 것으로 해석 될 수 있었다. 이와 같은 결과는 Ni nanoparticle들이 예상과 같이 hydrogen molecules을 dissociation하는 역할을 하는 것을 의미한다. 연속적인 thermal desorption 실험을 통해 가역성도 평가하였다.

Type III sums of squares by projections (사영에 의한 제3종 제곱합)

  • Choi, Jaesung
    • Journal of the Korean Data and Information Science Society
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    • v.25 no.4
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    • pp.799-805
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    • 2014
  • This paper deals with a method for getting the Type III sums of squares on the basis of projections under the assumption of two-way fixed effects model. For unbalanced data in general total sum of squares is not equal to the sum of componentwise Type III sums of squares. There are some differencies between two quantities. The suggested method using projections can detect where the differences occur and how much they are different. The traditional ANOVA method could not explain clearly the differences. It also discusses how eigenvectors and eigenvalues of the projection matrices can be used to get the Type III sums of squares.

Dynamic Causal Relationships between Energy Consumption and Economic Growth (에너지소비와 경제성장의 동태적 인과관계)

  • Mo, Soowon;Kim, Changbeom
    • Environmental and Resource Economics Review
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    • v.12 no.2
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    • pp.327-346
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    • 2003
  • Unlike previous studies on the causal relationship between energy consumption and economic growth, this paper analyses the dynamic causal relationship between these variables using the dynamic vector using Johansen's multiple cointegration procedure, dynamic vector error-correction model and impulse response function. The empirical results show that while the energy consumption to a shock in income responds positively, the income responds positively to the shocks in energy consumption in the first place and then the responses become negative. We also find that the impact of energy consumption shock on the income is short-lived and causes higher inflationary pressure.

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A Study on the Optimum Weight Vector of Linearly Constrained Conditions (선형 제한 조건의 최적 가중 벡터에 대한 연구)

  • Shin, Ho-Sub
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.5
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    • pp.101-107
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    • 2011
  • The optimum weight vector is studied to remove interference and jamming signals in adaptive array antenna system. The optimum weight vector is calculated to apply a minimum variance algorithm and cost function in linearly constrained conditions, and accurately estimates target's signal. Adaptive array antenna system is the system which improves signal to noise ratio(SNR) and decreases interference and jammer power. Adaptive array antenna system delays at tap output of antenna array element. Each tap finally makes the complex signal of one in multiplier complex weight. In order to obtain optimum's weight calculation, optimum weight vector is used in this paper. After simulation, resolution is increased below $3^{\circ}$, and sidelobe is decreased about 10 dB.

Analysis and Prediction of the Fiberboard Demand using VAR Model (VAR 모형에 의한 섬유판 수요 분석 및 예측)

  • Kim, Dongjun
    • Journal of Korean Society of Forest Science
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    • v.98 no.3
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    • pp.284-289
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    • 2009
  • This study estimated the fiberboard demand using VAR and econometric model, and compared the prediction accuracy of the two models. And the variance decomposition and impulse response were analyzed using VAR model, and predicted the fiberboard demand. The VAR model was specified with lagged dependent variable, lagged own price, lagged construction product, dummy. The econometric model was specified with own price, substitute price, construction product, dummy. The dummy variable reflected the abrupt decrease in fiberboard demand in the late 1990's. The results showed that the fiberboard demand prediction can be performed more accurately by VAR model than by econometric model. In the VAR model of fiberboard demand, after twelve months, the construction product change accounts for about fifty percent of variation in the demand, and the own price change accounts for about thirty percent of variation in the demand. On the other hand, the impact of a shock to the construction product is significant for about twelve months on the demand of fiberboard, and the impact of a shock to the own price is significant for about six months on the demand of fiberboard.

Error cause analysis of Pearson test statistics for k-population homogeneity test (k-모집단 동질성검정에서 피어슨검정의 오차성분 분석에 관한 연구)

  • Heo, Sunyeong
    • Journal of the Korean Data and Information Science Society
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    • v.24 no.4
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    • pp.815-824
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    • 2013
  • Traditional Pearson chi-squared test is not appropriate for the data collected by the complex sample design. When one uses the traditional Pearson chi-squared test to the complex sample categorical data, it may give wrong test results, and the error may occur not only due to the biased variance estimators but also due to the biased point estimators of cell proportions. In this study, the design based consistent Wald test statistics was derived for k-population homogeneity test, and the traditional Pearson chi-squared test statistics was partitioned into three parts according to the causes of error; the error due to the bias of variance estimator, the error due to the bias of cell proportion estimator, and the unseparated error due to the both bias of variance estimator and bias of cell proportion estimator. An analysis was conducted for empirical results of the relative size of each error component to the Pearson chi-squared test statistics. The second year data from the fourth Korean national health and nutrition examination survey (KNHANES, IV-2) was used for the analysis. The empirical results show that the relative size of error from the bias of variance estimator was relatively larger than the size of error from the bias of cell proportion estimator, but its degrees were different variable by variable.

Photo-catalytic Activity of CNT-TiO2 Nano Complex Prepared from Titanium Oxysulfate and Carbon Nanotube by Hydrosis (황산티타늄과 탄소나노튜브로부터 가수분해로 제조된 CNT-TiO2 나노복합체의 광촉매활성)

  • Kim, Sang Jin;Jung, Min-Jung;Lee, Young-Seak
    • Applied Chemistry for Engineering
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    • v.21 no.1
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    • pp.58-62
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    • 2010
  • CNT-$TiO_{2}$ nano complexes were prepared from $TiOSO_4$ and multi-walled carbon nanotube (MWCNT) by hydrolysis. The CNTs were dispersed uniformly with anatase $TiO_{2}$ in the prepared $TiO_{2}$-CNT complexes. The increasing MWCNT ratio leads to increased crystalline carbon and O/Ti ratio. The decomposition degree of methylene blue was experienced according to UV radiation time for study adsorption and photocatalytic activity. The samples having high MWCNT ratio show high adsorption and photodegradation. The high specific surface area, functional group having oxygen, low band gap energy, high electric conductivity, high volume to surface ratio, uniform structure and properties of MWCNT assist photocatalytic activity of CNT-$TiO_{2}$ complex.

An Effective Crease Detection Method for Feature Information Extraction in Fingerprint Images (지문 영상의 특징 정보 추출을 위한 효율적인 주름선 추출 방법)

  • Park, Sung-Wook;Lee, Byung-Jin
    • 전자공학회논문지 IE
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    • v.44 no.2
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    • pp.32-40
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    • 2007
  • In this paper, the crease extraction method is proposed to improve the accuracy of feature extraction within the fingerprint image. First of all, for each pixel in fingerprint image, it calculates the average grey level and variance to determine if the current pixel composes the crease, and estimates the direction of crease. Secondly, once the direction of every pixel in crease candidate area is estimated, it is decomposed into 8 different images, depending on their direction. The properties of crease consists of the length of the crease candidate area, the correspondence between the crease direction and the pixel distribution direction, the difference between the ridge direction and the pixel distribution direction, and finally the grey level of the candidate pixels. The proposed method finally extracts the crease from the crease clusters estimated from directional images. In conclusion, applying the proposed method improved the accuracy of overall feature extraction by 91.4% by accurately and precisely extracting the crease from fingerprint image.