• Title/Summary/Keyword: nonrandom

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Solubility of Triclosan in Supercritical Carbon Dioxide and its Application to Micronization Process (초임계이산화탄소내 트리클로산의 용해도와 미세입자 제조공정의 응용)

  • Shin, Moon-Sam;Kim, Hwa-Yong
    • Clean Technology
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    • v.14 no.3
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    • pp.153-159
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    • 2008
  • The solubility of triclosan, an anti-acne agent was measured in supercritical carbon dioxide ($scCO_2$) with a variable volume view cell at 313.15, 323.15, and 333.15 K and at pressures between 10 and 40 MPa. We successfully correlated triclosan solubility in $scCO_2$ using the quasi-chemical nonrandom lattice fluid (QLF) equation of state. Triclosan was micronized using the rapid expansion of supercritical solutions (RESS) process. The effects of temperature and pressure on particle size were investigated using phase behavior data and correlated results from the QLF model.

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On Randomness tests for the Statistical Analysis of Symmetric Ciphers (비밀키 암호 시스템의 통계적 특성 분석을 위한 Randomness test 방법의 비교 고찰)

  • 김종희;염대현;이필중
    • Proceedings of the Korea Institutes of Information Security and Cryptology Conference
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    • 1998.12a
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    • pp.421-441
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    • 1998
  • 본 논문에서는 스트림 암호 알고리즘과 블록 암호 알고리즘과 같은 비밀키 암호 시스템의 통계적 특성을 측정하기 위하여 사용된 여러 가지 randomness 테스트 방법들을 구현하여 그 성능을 randomness test의 power측면에서 서로 비교하였다. 여기서, power란 randomness test가 nonrandom한 비트 스트림을 얼마나 정확하게 검정할 수 있는 가를 나타내는 적도이다. 그리고, 스트림 암호 알고리즘과 블록 암호 알고리즘의 통계적 특성을 측정하기 위해 가장 효율적이라고 생각되는 테스트 방법들을 찾아 이 방법들을 사용할 것을 제안한다. 끝으로 제안된 방법들을 이용하여, DES, AES후보 알고리즘, SEED의 통계적 특성을 분석하였다.

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ASYMPTOTIC NORMALITY OF WAVELET ESTIMATOR OF REGRESSION FUNCTION UNDER NA ASSUMPTIONS

  • Liang, Han-Ying;Qi, Yan-Yan
    • Bulletin of the Korean Mathematical Society
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    • v.44 no.2
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    • pp.247-257
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    • 2007
  • Consider the heteroscedastic regression model $Y_i=g(x_i)+{\sigma}_i\;{\epsilon}_i=(1{\leq}i{\leq}n)$, where ${\sigma}^2_i=f(u_i)$, the design points $(x_i,\;u_i)$ are known and nonrandom, and g and f are unknown functions defined on closed interval [0, 1]. Under the random errors $\epsilon_i$ form a sequence of NA random variables, we study the asymptotic normality of wavelet estimators of g when f is a known or unknown function.

A NONRANDOM VARIATIONAL APPROACH TO STOCHASTIC LINEAR QUADRATIC GAUSSIAN OPTIMIZATION INVOLVING FRACTIONAL NOISES (FLQG)

  • JUMARIE GUY
    • Journal of applied mathematics & informatics
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    • v.19 no.1_2
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    • pp.19-32
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    • 2005
  • It is shown that the problem of minimizing (maximizing) a quadratic cost functional (quadratic gain functional) given the dynamics dx = (fx + gu)dt + hdb(t, a) where b(t, a) is a fractional Brownian motion of order a, 0 < 2a < 1, can be solved completely (and meaningfully!) by using the dynamical equations of the moments of x(t). The key is to use fractional Taylor's series to obtain a relation between differential and differential of fractional order.

Measurement and Correlation of Hinokitiol Solubility in Supercritical Carbon dioxide (초임계 이산화탄소에서 히노키치올의 용해도 측정과 예측)

  • Shin, Moon-Sam
    • Proceedings of the KAIS Fall Conference
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    • 2011.05a
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    • pp.489-492
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    • 2011
  • Supercritical fluid technology has been an alternative for purification and separation of biological compounds in cosmetic, food, and pharmaceutical products. Solubility information of biological compounds in supercritical fluids is essential for choosing a supercritical fluid processes. The equilibrium solubility of hinokitiol was measured in supercritical carbon dioxide with a static method in the pressure range from 8 to 40 MPa and at temperatures equal to 313.2, 323.2 and 333.2 K. The experimental data were correlated well by Peng.Robinson equation of state and quasi-chemical nonrandom lattice fluid model.

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Physical Features for Way-Finding and Orientation in Specialized Dementia Units (치매노인 특별요양시설내의 길찾기와 방향/현실적응을 위한 물리적 특성)

  • 권오정
    • Journal of the Korean Home Economics Association
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    • v.30 no.4
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    • pp.203-217
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    • 1992
  • From the findings of an exploratory study describing the living environments of segregated Alzheimer/Dementia Units (ADUs), the results relative to environmental cueing reatures, reality orientation aids, and communication/noise control methods are highlighted. Data were collected from a nonrandom, purposive sample of 99 ADUs and their parent long term care facilities in 34 states. Specific recommendations are made about physical features that may assist confused and disoriented residents and contribute to way-finding and orientation in specialized dementia units.

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Statistical process control of dye solution stream using spectrophotometer

  • Lee, Won-Jae;Cho, Gyo-Young
    • Journal of the Korean Data and Information Science Society
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    • v.21 no.6
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    • pp.1289-1303
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    • 2010
  • The need for statistical process control to check the performance of a process is becoming more important in chemical and pharmaceutical industries. This study illustrates the method to determine whether a process is in control and how to produce and interpret control charts. In the experiment, a stream of green dyed water and a stream of pure water were continuously mixed in the process. The concentration of the dye solution was measured before and after the mixer via a spectrophotometer. The in-line mixer provided benefits to the dye and water mixture but not for the stock dye solution. The control charts were analyzed, and the pre-mixer process was in control for both the stock and mixed solutions. The R and X-bar charts showed virtually all of the points within control limits, and there were no patterns in the X-bar charts to suggest nonrandom data. However, the post-mixer process was shown to be out of control. While the R charts showed variability within the control limits, the X-bar charts were out of control and showed a steady increase in values, suggesting that the data was nonrandom. This steady increase in dye concentration was due to discontinuous, non-steady state flow. To improve the experiment in the future, a mixer could be inserted into the stock dye tank. The mixer would ensure that the dye concentration of the stock solution is more uniform prior to entering the pre-mixer ow cell. Overall, this would create a better standard to judge the water and dye mixture data against as well.

Public Sector Volunteerism

  • Valero, Jesus N.
    • Journal of Contemporary Eastern Asia
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    • v.16 no.1
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    • pp.82-92
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    • 2017
  • The objective of this study is to analyze the relationship between organizational capacity and the use of firefighter volunteers by volunteer fire departments within local/county governments. The study is based on a nonrandom sample of 213 U.S. volunteer fire departments within local governments. The fire chief of these fire departments responded to an annual survey conducted by Firehouse Magazine in 2010 and 2011. This study uses OLS regression analysis to assess the impact of organizational capacity (measured as annual budget) on the number of firefighter volunteers used by the volunteer fire department. There is evidence to suggest that organizational capacity has a positive and statistically significant effect on the number of volunteers used among U.S. volunteer fire departments. This study extends current literature on public volunteerism by analyzing factors that explain variation in the use of volunteers by local governments, specifically fire departments. Findings suggest that fire departments with greater resources in terms of revenue are more likely to use volunteers.

Reject Inference of Incomplete Data Using a Normal Mixture Model

  • Song, Ju-Won
    • The Korean Journal of Applied Statistics
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    • v.24 no.2
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    • pp.425-433
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    • 2011
  • Reject inference in credit scoring is a statistical approach to adjust for nonrandom sample bias due to rejected applicants. Function estimation approaches are based on the assumption that rejected applicants are not necessary to be included in the estimation, when the missing data mechanism is missing at random. On the other hand, the density estimation approach by using mixture models indicates that reject inference should include rejected applicants in the model. When mixture models are chosen for reject inference, it is often assumed that data follow a normal distribution. If data include missing values, an application of the normal mixture model to fully observed cases may cause another sample bias due to missing values. We extend reject inference by a multivariate normal mixture model to handle incomplete characteristic variables. A simulation study shows that inclusion of incomplete characteristic variables outperforms the function estimation approaches.

A Lattice Model for Intramolecular and Intermolecular Association in Alkane + Nonionic Surfactant Systems (알칸과 비이온계면활성 계를 위한 분자 내외부 회합을 위한 격자모델)

  • Shin, Moon-Sam
    • Proceedings of the KAIS Fall Conference
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    • 2009.12a
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    • pp.103-107
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    • 2009
  • Intramolecular association is an important contribution to the overall hydrogen bonding in supercritical fluid systems, especially in systems of colloidal and biological interest. Amphiphile systems, especially micelle and microemulsion systems, showed highly non-ideal behavior due to the intermolecular association and intramolecular association. The objective of this research is to present a lattice fluid equation of state that combines the quasi-chemical nonrandom lattice fluid model with modified Veytsman statistics for intra + inter molecular association to calculate phase behavior for mixture containing surfactant systems. The present EOS could correlate the literature data well for mixtures containing nonionic surfactant systems.

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