• Title/Summary/Keyword: Target factor analysis

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Target Transformation Factor Analysis에 의한 겹침 X-선 형광 스펙트라의 정량적 해석 (A Quantitative Interpretation of the Overlapped X-Ray Fluorescence Spectra by Target Transformation Factor Analysis)

  • 김승원;이철;최상원;강형태
    • 대한화학회지
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    • 제36권5호
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    • pp.720-726
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    • 1992
  • 겹쳐 나타나는 X-선 형광 스펙트라에서 얻은 다변수 데이타를 해석하기 위하여 다변수분석법인 인자분석법을 적용하였다. Pb와 As의 피크가 겹쳐 있는 11개 표준시료의 X-선 형광 스펙트라를 파장분산형기기로 $33.50∼34.50^{\circ}$에서 측정하였다. 8개 시료의 피크세기로 데이타 매트릭스를 구성하고 AFA(Abstract Factor Analysis)를 수행하였다. 그 결과 인자의 수가 3으로 나타났으며 표준시료에 함유된 8개 원소를 타겟트 테스트한 결과 Pb, As 및 Cu로 판명되었다. 농도 기지인 시험시료에서 상기 원소들의 농도를 피크의 겹침에 무관하게 TTFA(Target Transformation Factor Analysis)에 의해 결정하였다.

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A Quantitative Determination of Overlapped Chromatographic Peaks of Dysprosium and Yttrium Using Target Transformation Factor Analysis

  • Song Joon Myong;Lee Chul;Chung Koo Soon
    • Bulletin of the Korean Chemical Society
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    • 제15권1호
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    • pp.74-77
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    • 1994
  • Rare earth elements (REE) were individual separated by applying the gradient elution via HPLC using ${\alpha}-hydroxyisobutyric$ acid (HIBA) as an eluent. However, the overlap of Y and Dy peaks was too severe to obtain the resolution of these two peaks. The target transformation factor analysis (TTFA) was applied to resolve the elution peaks of Y and Dy. [A]$_{raw}$ formed from the absorbances of mixed solution was factor analyzed. The abstract factor analysis(AFA) was used to determine the number of components that contributed to the poorly resolved peaks. The error theory in the AFA showed that the number of components was 2. The test vectors which correspond to pure component were selected from the standard solutions of Y and Dy. TTFA was accomplished by target testing. The results showed that the resolution of two peaks as well as the determination of Y and Dy were possible by the factor analysis.

High Throughput 프로세스에서 품질혁신의 성능평가를 위한 Z-Factor의 적용방안 (Implementation of Z-Factor Statistics for Performance Evaluation of Quality Innovation in the High Throughput Process)

  • 최성운
    • 대한안전경영과학회지
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    • 제15권1호
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    • pp.293-301
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    • 2013
  • The purpose of this study is to introduce the limit of previously used six sigma quality process evaluation metrics, $Z_{st}$ and $P_{pk}$, and a solution to overcome this drawback by using a metric based on performance evaluation of Z-factor quality innovation. Case analysis on projects from national six sigma contest from 2011 to 2012 is performed and literature review on new drug development HTS (High Throughput Screening) is used to propose innovative performance evaluation metrics. This research shows that experimental study on six sigma evaluation metric, $Z_{st}$ and $P_{pk}$, have no significance difference between industrial type (Manufacturing, Semi-Public Institute, Public Institute) and CTQ type (Product Technology Type CTQ, Process Technology Type CTQ). Following discovery characterize this quality improvement as fixed target type project. As newly developed moving target type of quality innovation performance metric Z-Factor is used for evaluating experimental study, hypothetical analysis suggests that $Z_{st}$ and $P_{pk}$ share different relationship or even show reciprocal relationship. Constraints of the study are relatively small sample size of only 37 projects from past 2 years and conflict on having interview and communication with six sigma quality practitioner for qualitative experimental study. Both moving target type six sigma innovation project and fixed target type improvement project or quality circle enables efficient ways for a better understanding and quality practitioner use by applying quality innovation performance metric. Downside of fixed target type quality performance evaluation metric, $Z_{st}$ and $P_{pk}$, is presented through experimental study. In contrast, advantage of this study is that high throughput requiring product technology, process technology and quantum leap typed innovation effect is evaluated based on precision and accuracy and Z-Factor that enables relative comparison between enterprises is proposed and implemented.

고래의 게놈에서 hypoxia-inducible factor binding site의 예측과 target gene에 대한 분석 (Prediction of Hypoxia-inducible Factor Binding Site in Whale Genome and Analysis of Target Genes Regulated by Predicted Sites)

  • 임형순;이재학
    • 한국해양바이오학회지
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    • 제7권2호
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    • pp.35-41
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    • 2015
  • Whales are marine mammals that are fully adapted to aquatic environment. Whales breathe by lungs so they require adaptive system to low oxygen concentration (hypoxia) while deep and prolonged diving. However, the study for the molecular mechanism underlying cetacean adaptation to hypoxia has been limited. Hypoxia-inducible factor (HIF) is the central transcription factor that regulates hypoxia-related gene expression. Here we identified HIF-binding sites in whale genome by phylogenetic footprinting and analyzed HIF-target genes to understand how whales cope with hypoxia. By comparison with the HIF-target genes of terrestrial mammals, it was suggested that whales may retain unique adaptation mechanisms to hypoxia.

Target Transformation Factor Analysis를 이용한 부산시 분진오염원의 양적 추정 (Quantitative Source Estimation of Particulate Matters in Pusan Area Using the Target Transformation Factor Analysis)

  • 김태오;김동술;나진균
    • 한국대기환경학회지
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    • 제6권2호
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    • pp.135-146
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    • 1990
  • The purpose of the study was to identify sources of particulate matters statistically and to estimate the mass contribution quantitatively in the Pusan metropolitan area. Then, the study has used the TTFA (target transformation factor analysis) model, a receptor model, to apportion aerosol mass with the raw data of 106 ambient samples characterized by 24 heavy metal variables. The TTFA was extensively applied to generate source profiles and their aerosol mass contributions. Though a couple of sources were not identified, four to seven sources were able to be extracted at 3 different sites (Jang Rim-Dong, Kwang Bok-Dong, and Kwang An-Dong) in Pusan area and finally mass conributions could be calculated.

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A Quantitative Resolution of Overlapped Chromatographic Fractions by Target Transformation Factor Analysis

  • Ihn Chong Lee;Seungwon Kim;Chul Lee;Sang Won Choi
    • Bulletin of the Korean Chemical Society
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    • 제12권3호
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    • pp.304-309
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    • 1991
  • Target transformation factor analysis is applied to analyze the components of unresolved fraction in the elution curve of La, Pr and Gd which is obtained using the chelate agent- impregnated resin and 0.7 M hydrochloric acid as an eluent. We determined the number of components contributing to the unresolved fractions and verified the presence of suspected components.

근적외선흡광스픽트럼에 대한 반복목표변환인자분석에 의한 메탄올-물 혼합액 및 아세토니트릴 -물 혼합액의 특성 확인 (Characterization of Methanol-Water and Acetonitrile-Water Mixtures Using Iterative Target Transform Factor Analysis on Near Infrared Absorption Spectra)

  • 박영주;조정환
    • 약학회지
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    • 제48권1호
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    • pp.6-12
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    • 2004
  • Near-infrared spectra of methanol-water mixtures and acetonitrile-water mixtures were acquired to find interactions between solvents widely used for reverse-phase liquid chromatography. Mixtures were prepared to give a series of increasing mole fractions of methanol or acetonitrile in water. Data matrices of acquired spectra were analyzed to determine the proper number of principal components of each mixture system using Malinowski's factor indicator function. Initial guess of score matrix and loading matrix were calculated by nonlinear iterative partial least squares (NIPALS) algorithm for faster computation. Iterative target transform factor analysis (ITTFA) was applied to convert the initial estimation of score matrix to true concentration profile and loading matrix to pure spectra of pure components of the mixtures. In case of methanol-water the number of principal components was found to be 4 and those initial guess of factors were converted to the pure spectra of water methanol and two kinds of complexes. In case of acetonitrile-water the number of pure components of the mixtures was found to be 3 and the pure spectrum of acetonitrile-water complex was found. The nonlinear characteristics of concentration profiles of complexes in the solvent mixtures may give a good criteria in understanding their elution characteristics in reverse-phase liquid chromatogrsphy.

T-Commerce 요인에 따른 사용의도 판별에 관한 연구 (A Study on the Discrimination of Use Intention by Critical T-Commerce Factors)

  • 김주안
    • 통상정보연구
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    • 제8권3호
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    • pp.71-95
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    • 2006
  • In recent, T-commerce is widely dispersed as alternative type of commerce. It is forecasted that t-commerce system is used more than e-commerce system. Therefore more and more t-commerce-related industries are also recognizing that t-commerce is a critical business model. It is needed to understand the concept of t-commerce and develop the t-commerce marketing strategy. CEO analyses consumer's behaviors according to the data about buyers and applies the advantage of t-commerce to the communication with customers. This t-commerce system plays an important role in maximizing customer satisfaction and affecting their intention to reuse it. Therefore this paper attempts to identify T-commerce critical success factors and divide between use-intention group and unuse-intention group by taking out a discriminant function by the discriminant analysis. This lays a foundation in developing T-commerce strategy. According to the discriminant function extracted, convenience factor, amusement factor, system quality factor, product perception factor are significant in the sequence of influential degree. However, usefulness factor and speedy connection factor are not significant. In result, the target hitting rate is 77.9% in the first unuse-intention group and it is 95.2% in the second use-intention group. The total discriminant target hitting rate is computed to higher value, 86.55%. The statistic package, SPSS 12.0, is used to survey and analyse data and test the hypothesis. The validity and reliability of variables are verified by both reliability analysis and factor analysis. The discriminant analysis is used to tell the difference between use-intention group and unuse-intention group.

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Target Detection for Marine Radars Using a Data Matrix Bank Filter

  • Jang, Moon Kwang;Cho, Choon Sik
    • Journal of electromagnetic engineering and science
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    • 제13권3호
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    • pp.151-157
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    • 2013
  • Marine radars are affected by sea and rain clutters, which can make target discrimination difficult. The clutter standard deviation and improvement factor are applied using multiple parameters-moving speed of radar, antenna speed, angle, etc. When a radar signal is processed, a Data Matrix Bank (DMB) filter can be applied to remove sea clutters. This filter allows detection of a target, and since it is not affected by changes in adjacent clutters resulting from a multi- target signal, sea state clutters can be removed. In this paper, we study the level for clutter removal and the method for target detection. In addition, we design a signal processing algorithm for marine radars, analyze the performance of the DMB filter algorithm, and provide a DMB filter algorithm design. We also perform a DMB filter algorithm analysis and simulation, and then apply this to the DMB filter and cell-average constant false alarm rate design to show comparative results.