• Title/Summary/Keyword: Variance of Analysis

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Discriminant Analysis of Marketed Liquor by a Multi-channel Taste Evaluation System

  • Kim, Nam-Soo
    • Food Science and Biotechnology
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    • v.14 no.4
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    • pp.554-557
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    • 2005
  • As a device for taste sensation, an 8-channel taste evaluation system was prepared and applied for discriminant analysis of marketed liquor. The biomimetic polymer membranes for the system were prepared through a casting procedure by employing polyvinyl chloride, bis (2-ethylhexyl)sebacate as plasticizer and electroactive materials such as valinomycin in the ratio of 33:66:1, and were separately attached over the sensitive area of ion-selective electrodes to construct the corresponding taste sensor array. The sensor array in conjunction with a double junction reference electrode was connected to a high-input impedance amplifier and the amplified sensor signals were interfaced to a personal computer via an A/D converter. When the signal data from the sensor array for 3 groups of marketed liquor like Maesilju, Soju and beer were analyzed by principal component analysis after normalization, it was observed that the 1st, 2nd and 3rd principal component were responsible for most of the total data variance, and the analyzed liquor samples were discriminated well in 2 dimensional principal component planes composed of the 1st-2nd and the 1st-3rd principal component.

Probabilistic Evaluation Methodology for Nuclear Components (원전 주요기기의 확률론적 평가 기법)

  • Lee, Joon-Seong;Kwak, Sang-Log;Kim, Young-Jin;Park, Youn-Won
    • Proceedings of the KSME Conference
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    • 2001.06a
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    • pp.459-464
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    • 2001
  • For major nuclear power plant components periodic inspections and integrity assessments are needed for the safety. But many flaws are undetectable due to sampling inspection. Probabilistic integrity assessment is applied to take into consideration of uncertainty and variance of input parameters arise due to material properties, applied load and undetectable flaws. This paper describes a Probabilistic Fracture Mechanics(PFM) analysis based on Monte Carlo(MC) algorithms. Taking important parameters as probabilistic variables such as fracture toughness, crack growth rate and flaw shape, failure probability of major nuclear power plant components is archived as a results of MC simulation. For the verification of these analysis, a comparison study of the PFM analysis using other commercial code, mathematical method is carried out and a good agreement was observed between those results.

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The Clothing Purchasing Behaviors between Korean and American College Women

  • Im, Sung-Kyung;Han, Myung-Sook
    • The International Journal of Costume Culture
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    • v.9 no.2
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    • pp.149-159
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    • 2006
  • The purpose of the study is to compare the clothing purchasing behaviors between Korean and American college women and to gather a basic data to establish a clothing marketing strategy and effective world marketing strategy in the fashion marketing. 1,150 questionaries were distributed to 3 universities in Korea and 3 universities America from March, 15 to 30 in 2006 and a total of 800 questionnaires, 466 from Korea and 334 from American, were utilized in the final analysis. The SPSS 12.0 was used to analyze the technical statistics like average and frequency, t-test, X$^2$, factor analysis and multi-variate analysis of variance.

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Stability Analysis for Grain Yield of Lowland Rice for the Largest Rice-Growing Region of Eastern india

  • Bose, L.K.;Mohanty, A.;Kar, M.K.;Nagaraju, M.
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.49 no.2
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    • pp.136-140
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    • 2004
  • Twenty-one lowland rice genotypes were evaluated for their stability parameters with respect to grain yield in a multi locational trial at five different sites of Eastern India viz. CRRI, Cuttack (Orissa); OUAT, Bhubaneswar (Orissa); CRS, Masodha (UP); RAU, Pusa (Bihar) and RARS, North Lakhimpur (Assam). Pooled analysis of variance reflects existence of genotype x environment interactions and contribution of both linear and nonlinear components to genotype (G) x environment (E) interactions. Through stability parameter analysis it was found that Rayda $\textrm{B}_3$, CR 778-95 and CR 661-236 were suitable for over all environments where as Sabita, OR 1334-16 and OR 1358-RGA-4 were suitable for rich environments. PSR 1209-2-3-2, CR 780-1937, Ambika, OR 877-ST-4-2 and CR 662-2211 were identified for poor environments.

Use of Crown Feature Analysis to Separate the Two Pine Species in QuickBird Imagery

  • Kim, Cheon
    • Korean Journal of Remote Sensing
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    • v.24 no.3
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    • pp.267-272
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    • 2008
  • Tree species-specific estimates with spacebome high-resolution imagery improve estimation of forest biomass which is needed to predict the long term planning for the sustainable forest management(SFM). This paper is a contribution to develop crown distinguishing coniferous species, Pinus densiflora and Pinus koraiensis, from QuickBird imagery. The proposed feature analysis derived from shape parameters and first and second-order statistical texture features of the same test area were compared for the two species separation and delineation. As expected, initial studies have shown that both formfactor and compactness shape parameters provided the successful differentiating method between the pine species within the compartment for single crown identification from spaceborne high resolution imagery. Another result revealed that the selected texture parameters - the mean, variance, angular second moment(ASM) - in the infrared band image could produce good subset combination of texture features for representing detailed tree crown outline.

The Effect of the Cutting Parameters on Performance of WEDM

  • Tosun, Nihat
    • Journal of Mechanical Science and Technology
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    • v.17 no.6
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    • pp.816-824
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    • 2003
  • In this study, variations of cutting performance with pulse time, open circuit voltage, wire speed and dielectric fluid pressure were experimentally investigated in Wire Electrical Discharge Machining (WEDM) process. Brass wire with 0.25 mm diameter and AISI 4140 steel with 10 mm thickness were used as tool and work materials in the experiments. The cutting performance outputs considered in this study were surface roughness and cutting speed. It is found experimentally that increasing pulse time, open circuit voltage, wire speed and dielectric fluid pressure increase the surface roughness and cutting speed. The variation of cutting speed and surface roughness with cutting parameters is modeled by using a regression analysis method. Then, for WEDM with multi-cutting performance outputs, an optimization work is performed using this mathematical models. In addition, the importance of the cutting parameters on the cutting performance outputs is determined by using the variance analysis (ANOVA).

How Derivational Prefix Instruction Impacts Incidental Vocabulary Acquisition and Reading Comprehension

  • Choi, Sung-Mook
    • English Language & Literature Teaching
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    • v.13 no.3
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    • pp.1-22
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    • 2007
  • The study examined the effects of explicit derivational morphology instruction (henceforth DMI) on the incidental vocabulary acquisition and reading comprehension of 132 Korean 1st-year high school students who responded to a battery of tests (two vocabulary tests and a reading comprehension test). Multiple statistical tools were used to analyze the data: Analysis of Covariance (ANCOVA), Analysis of Variance (ANOVA), Simple Regression Analysis, Tests of Simple Main Effects, and effect size computation using Cohen's d. The results indicated that (a) DMI enhanced students' ability to infer word meanings in context, (b) DMI promoted high proficiency students' reading comprehension, whereas it impeded intermediate proficiency students' reading comprehension, (c) vocabulary knowledge has a strong positive predictive value for reading comprehension, and (d) the gaps of vocabulary knowledge across proficiency levels were still substantial, despite the observation that DMI promoted students' vocabulary acquisition. These results have a bearing on English as Foreign Language (EFL) reading pedagogy.

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A Sequential Optimization Algorithm Using Metamodel-Based Multilevel Analysis (메타모델 기반 다단계 해석을 이용한 순차적 최적설계 알고리듬)

  • Baek, Seok-Heum;Kim, Kang-Min;Cho, Seok-Swoo;Jang, Deuk-Yul;Joo, Won-Sik
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.33 no.9
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    • pp.892-902
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    • 2009
  • An efficient sequential optimization approach for metamodel was presented by Choi et al. This paper describes a new approach of the multilevel optimization method studied in Refs. [2] and [20,21]. The basic idea is concerned with multilevel iterative methods which combine a descent scheme with a hierarchy of auxiliary problems in lower dimensional subspaces. After fitting a metamodel based on an initial space filling design, this model is sequentially refined by the expected improvement criterion. The advantages of the method are that it does not require optimum sensitivities, nonlinear equality constraints are not needed, and the method is relatively easy to understand and use. As a check on effectiveness, the proposed method is applied to an engineering example.

The Effects of Attitudinal Body Image and Plastic Surgery Attitude on Clothing Behaviors (태도적 신체이미지, 성형태도에 따른 의복행동)

  • Lee, Mi-Sook;Song, Kyung-Ja
    • Korean Journal of Human Ecology
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    • v.18 no.2
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    • pp.441-449
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    • 2009
  • The study is to find out any significant relations in clothing behaviors according to attitudinal body image and plastic surgery attitude. The sampling method was a convenient sampling, and the subjects were 190 male and 160 female students in Daejeon. The survey was conducted from June 20 to July 15, 2008. The data were analyzed by the frequency analysis, Cronbach' ${\alpha}$, factor analysis, t-test and variance analysis. The subjects who pay much attention to weights and appearances have a positive attitude to plastic surgery. As they concern their body weights and appearance, they have high exhibition of clothing. Those who think their body as being attractive have been more interested in clothing and fashion. The subjects who have positive attitude for plastic surgery are more interested in clothing and fashion, showing higher conformity of clothing.

An Effect of Clothing Purchasing Situation on Store Choice Behavior (의복구매상황에 따른 점포선택행동에 관한 연구 - 직업여성의 과제적 상황, 시간압박상황을 중심으로 -)

  • 원미향;박은주
    • Journal of the Korean Society of Clothing and Textiles
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    • v.18 no.2
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    • pp.234-243
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    • 1994
  • This research has studied situational effects on the perceived risk and store choice behavior. Data were obtained from 388 females with full-time jobs living in Pusan. The results analyzed by Spearman's rank correlation analysis, analysis of variance(ANOVA), 1-test and discriminant analysis. The results of this study were as follows; 1. There were significant differences in percieved risk according to the clothing purchasing situations. Performance risk was perceived high in gift-shopping situation and time-pressured situation, and financial risk was perceived high in self-shoving situation. 2. There were particularly significant differences in store attributes evaluation according to the clothing purchasing situations. In self-shopping situation, price, quality and reliability, store loyalty were evaluated as important store attributes. In gift-shopping situation, quality and reliability, product iuomation and in time-pressured situation, store loyalty and product information were evaluated as important store attributes. 3. Consumers preferred national brand franchise stores in self-shopping situation. They preferred department stores in gift-shopping situation and time-pressured situation. The types of selected store were mainly affetted by shopping convenience and location convenience.

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