• Title/Summary/Keyword: Variance of Analysis

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An Assessment on the Sound Quality of the Car Audio System Using the Orthogonal Designs (직교배열법을 이용한 차량 음향 시스템의 음질평가)

  • Doo, Se-Jin;Choi, Kyung-Mee
    • The Journal of the Acoustical Society of Korea
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    • v.27 no.5
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    • pp.229-238
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    • 2008
  • Audio tuning improves not only the sound quality of the car audio but also the quality of the completed car itself. However without the subjective assessment on the users' preferences, it is hard to tune the car audio satisfying them. Even though there are lots of factors to be considered to assess the preferences, only a restricted number of factors should be included in the experiment because the total number of experiments increases rapidly as the number of factors in the experiment increases. A large number of factors make it hard to explore the relationship between the sound quality and the sound characteristics and also makes the panels exhausted. In this paper, 8 sound characteristics, each with 2 levels, are considered for the experiment. An orthogonal design of experiment is suggested to reduce the number of experiments from 256 to 16. The analysis of variance is applied to show that Treble is the most significant characteristic of the reproduced sound of the given pop music. Also Deep Bass, SAD, and the interaction between Treble and SAD are found to be significant. For the given classic music, SAD is the only characteristic which turns out to be significant.

On the relationship between job seeking preparation capacity and stress from college life (산업체 구직준비역량과 대학생활 스트레스관계 연구)

  • Han, Mi-Hee
    • Journal of Convergence for Information Technology
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    • v.7 no.1
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    • pp.81-86
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    • 2017
  • Nowadays, many college students have difficulty in finding employment. The current research intends to identify how their preparation for job seeking competence affects their stress in college life. For that purpose, the research subjects consist of a group of 158 students taking liberal arts classes at N University located in Cheonan, Korea. A set of analysis methods were utilized to verify of the relationship between their jop seeking preparation competence and stress from college life: an exploratory factor analysis, a correlation analysis and a univariate variance analysis. As a result, there was statistically significant effect of stress in college life and job seeking preparation confidence according to grade, and there was no correlation between stress college life and job seeking preparation confidence. Colleges, thus, should plan and design practical and systematic measures to help them enhance their job seeking competence at college. The results of the analysis are also expected to provide college students with suggestions that might help understand required qualities by the industry and society.

Independent Component Analysis Applied on Odor Sensing Measurement Data for Multimedia Communication (차세대 멀티미디어 통신을 위한 후각정보 측정데이터의 독립성분분석)

  • Kwon, Ki-Hyeon;Choi, Hyung-Jin;Hwang, Sung-Ho;Joo, Sang-Yeol
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.13 no.8
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    • pp.1679-1686
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    • 2009
  • Odor sensing system that is electronic nose device and its signal processing technique has potential to become a critical service for the people who require tangibility of sense of smell in the multimedia communication. PCA(Principal Component Analysis) have been used for dimensionality reduction and visualization of multivariate measurement data. PCA is good for estimating importance value by variance of data but, have some limitation for getting meaningful representation from odor sensing system. This paper explain about how to analyze the data of odor sensing system by ICA(Independent Component Analysis). We show that ICA can give better result like sensor drift analysis, dimensionality reduction and data representation by improved discrimination.

The Effects of Gender-Role Identity on Adolescents' Self Esteem, Clothing Behaviors and Favorite Clothing Image -Focused on analysis by adolescent' sex and age variable- (청소년의 성역할 정체감이 자아존중감과 의복행동 및 선호 의복이미지에 미치는 영향 -청소년의 성과 연령에 따른 비교분석을 중심으로-)

  • Lee, Mi-Sook
    • Korean Journal of Human Ecology
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    • v.17 no.4
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    • pp.707-721
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    • 2008
  • The purpose of this study was to exam the effects of gender-role identity on adolescents' self esteem, clothing behaviors and favorite clothing image, focusing on analysis by adolescent' sex and age variable. The research method was survey and the subjects were 447 male and female adolescents in Daejeon, Korea. The questionnaire consisted of 4 measurement instruments (gender-role identity, self-esteem, clothing behaviors, and favorite clothing image) and subject' demographic attributions. The data were analyzed by factor analysis, $X^2$ test, t-test, ANOVA(analysis of variance), Duncan's multiple range test, and Pearson's correlation analysis, using SPSS program. The results are as follows. First, adolescents' gender-role identity and self- esteem were different by age rather than sex. Middle school students were represented by undifferentiated type while high school students were represented by androgynous type, and high school students had higher self-esteem than middle school students. Second, four factors emerged on clothing behaviors(clothing interest & psychological dependence, ostentation, conformity, and comfort), and favorite clothing image(characteristic, neat, active, and romantic image). Third, gender-role identity had important effects on self esteem; androgynous type had higher self esteem than other gender-role identity type. Forth, self-esteem had significant relationship with clothing behaviors and favorite clothing image, and these relationships were different by adolescent' sex and age variable. Fifth, gender-role identity had important effects on clothing behaviors; and rogynous type had more clothing interest, ostentation and comfort than any other gender-role identity type. Sixth, gender-role identity had important effects on favorite clothing images; androgynous type pursued more various clothing images than any other gender-role identity type.

Calculating the collapse margin ratio of RC frames using soft computing models

  • Sadeghpour, Ali;Ozay, Giray
    • Structural Engineering and Mechanics
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    • v.83 no.3
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    • pp.327-340
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    • 2022
  • The Collapse Margin Ratio (CMR) is a notable index used for seismic assessment of the structures. As proposed by FEMA P695, a set of analyses including the Nonlinear Static Analysis (NSA), Incremental Dynamic Analysis (IDA), together with Fragility Analysis, which are typically time-taking and computationally unaffordable, need to be conducted, so that the CMR could be obtained. To address this issue and to achieve a quick and efficient method to estimate the CMR, the Artificial Neural Network (ANN), Response Surface Method (RSM), and Adaptive Neuro-Fuzzy Inference System (ANFIS) will be introduced in the current research. Accordingly, using the NSA results, an attempt was made to find a fast and efficient approach to derive the CMR. To this end, 5016 IDA analyses based on FEMA P695 methodology on 114 various Reinforced Concrete (RC) frames with 1 to 12 stories have been carried out. In this respect, five parameters have been used as the independent and desired inputs of the systems. On the other hand, the CMR is regarded as the output of the systems. Accordingly, a double hidden layer neural network with Levenberg-Marquardt training and learning algorithm was taken into account. Moreover, in the RSM approach, the quadratic system incorporating 20 parameters was implemented. Correspondingly, the Analysis of Variance (ANOVA) has been employed to discuss the results taken from the developed model. Additionally, the essential parameters and interactions are extracted, and input parameters are sorted according to their importance. Moreover, the ANFIS using Takagi-Sugeno fuzzy system was employed. Finally, all methods were compared, and the effective parameters and associated relationships were extracted. In contrast to the other approaches, the ANFIS provided the best efficiency and high accuracy with the minimum desired errors. Comparatively, it was obtained that the ANN method is more effective than the RSM and has a higher regression coefficient and lower statistical errors.

SNP-based and pedigree-based estimation of heritability and maternal effect for body weight traits in an F2 intercross between Landrace and Jeju native black pigs (제주재래흑돼지와 랜드레이스 F2 교배축군의 생체중에 대한 유전체와 가계도 기반의 유전력 및 모체효과 추정)

  • Park, Hee-Bok;Han, Sang-Hyun;Lee, Jae-Bong;Kim, Sang-Geum;Kang, Yong-Jun;Shin, Hyun-Sook;Shin, Sang-Min;Kim, Ji-Hyang;Son, Jun-Kyu;Baek, Kwang-Soo;Cho, Sang-Rae;Cho, In-Cheol
    • Journal of Embryo Transfer
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    • v.31 no.3
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    • pp.243-247
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    • 2016
  • Growth traits, such as body weight, directly influence productivity and economic efficiency in the swine industry. In this study, we estimate heritability for body weight traits usinginformation from pedigree and genome-wide single nucleotide polymorphism (SNP) chip data. Four body weight phenotypes were measured in 1,105 $F_2$ progeny from an intercross between Landrace and Jeju native black pigs. All experimental animals were subjected to genotypic analysis using PorcineSNP60K BeadChip platform, and 39,992 autosomal SNP markers filtered by quality control criteria were used to construct genomic relationship matrix for heritability estimation. Restricted maximum likelihood estimates of heritability were obtained using both genomic- and pedigree- relationship matrix in a linear mixed model. The heritability estimates using SNP information were smaller (0.36-0.55) than those which were estimated using pedigree information (0.62-0.97). To investigate effect of common environment, such as maternal effect, on heritability estimation, we included maternal effect as an additional random effect term in the linear mixed model analysis. We detected substantial proportions of phenotypic variance components were explained by maternal effect. And the heritability estimates using both pedigree and SNP information were decreased. Therefore, heritability estimates must be interpreted cautiously when there are obvious common environmental variance components.

Development of MATLAB GUI Based Software for Analysis of KASS Availability Performance (KASS 가용성 성능 평가를 위한 MATLAB GUI 기반 소프트웨어 설계)

  • Choi, Bong-kwan;Han, Deok-hwa;Kim, Dong-uk;Kim, Jung-beom;Kee, Chang-don
    • Journal of Advanced Navigation Technology
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    • v.22 no.5
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    • pp.384-390
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    • 2018
  • This paper introduces a MATLAB graphical user interface (GUI) based software for analysis of korea augmentation satellite system (KASS) availability performance. This software uses minimum variance (MV) estimator and Kriging algorithm to generate integrity information such as user differential range error (UDRE) and grid ionospheric vertical error (GIVE). The information is offered to ground and aviation users in Korean region. The software also gives accuracy data, protection level data and availability map about each user position by using the integrity information. In particular the software calculates the protection level along a path of aircraft. We verified the result of protection level of aviation user by comparing them with the results of SBASimulator#2, which is a simulation tool of european geostationary navigation overlay service (EGNOS). As a result, the protection level error between the result of our software and the SBASimulator#2 was about 2% which means that the result of our software is accurate.

Analysis of the Clinical Nurses' Organizational Commitment and Relating Variables. (임상간호사의 조직몰입과 관련변인 분석)

  • Kim, Jung-Hee
    • Journal of Korean Academy of Nursing Administration
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    • v.2 no.1
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    • pp.125-139
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    • 1996
  • Organizational commitment is characterized by a strong belief in and acceptance of the organization's goal and values ; a willingness to exert considerable effort on behalf of the organization ; a strong desire to maintain membership in the organization. The purpose of this study was to identify the variables which influence the organizational commitment and to test the relationship between the clinical nurses' organizational commitment and turnover intention. The subjects were 412 nurses who were working on general wards at three General Hospitals in Chounbuk. The data were collected by self-reporting questionnaire from Sept. 20 to Sept. 31, 1995. The instruments used in this study were Likert-type scale which were Organizational Commitment Scale by Mowday et al, and Turnover Intention Scale by Mobley et al. The questionnaire of organizational characteristics was made through reviewing literature. The data were analyzed by frequency, percentage, t-test, one-way ANOVA, Scheffe test, Pearson's correlation coefficient, and stepwise multiple regression with $SPSS-PC^+$ program. Major findings are as follows : 1. Mean scores for organizational commitment were 3.008 and turnover intention 3.167 on a 5 point scale. 2. Age and clinical experience were positively related to organizational commitment(r=.4806, p=.000; r=.4792, p=.000). 3. In the personal variables, hospital type(F=21.374, p=.000), education level(F=5.481, p=.001), position(F=30.867, P=.000), and marital status(t=-5.63, p=.000) of the nurses showed significant differences in organizational commitment. 4. The variables to the organizational characteristic were statistically significant in organizational commitment : formalization(r=.3458, p=.000), human-centered organizational characteristic(r=.4302, p=.000), performance- centered organizational characteristic(r=-.1502, p=.000), payment(r=.2234, p=.000), promotion(r=.2710, p=.000), benefit & service(r=.2325, p=.000), and resource inadequacy(r=-.2172, p=.000). 5. For the purpose of identifying the predicting variables in organizational commitment, stepwise multiple regression is conducted. The results show that age, human-centered organizational characteristic, formalization, hospital type, resource inadequacy, promotion, and benefit & service were significant variables and explained 46% of the variance. 6. Organizational commitment was significantly negatively correlated with turnover intention(r=-.6442, p=.000). As a result of stepwise multiple regression analysis, organizational commitment is the most powerful variable predicting turnover intention and explained 41.5% of the variance. In conclusion, this study shows that the higher the organizational commitment level, the lower the turnover intention. Therefore, for effective turnover management, it is important to improve the organizational commitment among clinical nurses. In order to enhance the organizational commitment by the clinical nurses, it will be useful to consider significant organizational characteristics variables identified in this study.

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The influence of surface conditioning on the shear bond strength of self-adhesive resin cement to zirconia ceramics (표면처리방법이 지르코니아와 수종의 시멘트의 전단결합강도에 미치는 영향)

  • Jung, Ji-Hye;Jung, Seung-Hyun;Cho, Hye-Won;Kim, Yu-Lee
    • The Journal of Korean Academy of Prosthodontics
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    • v.48 no.4
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    • pp.251-258
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    • 2010
  • Purpose: To evaluate the effect of surface conditioning on the shear bond strength of zirconium-oxide ceramic to 4 luting agents. Materials and methods: A total of 120 diskshaped zirconium-oxide ceramic blocks (3Y-TZP, Kyoritsu, Japan) were treated as follows: (1) Sandblasting with $110\;{\mu}m$ aluminum-oxide ($Al_2O_3$) particles; (2) tribochemical silica coating (Rocatec) using $110\;{\mu}m$ $Al_2O_3$ particles modified by silica; (3) no treatment. Then zirconium-oxide ceramic blocks bonded with 4 luting cements (RelyX luting (3M ESPE), Maxcem (Kerr), Nexus3 (Kerr), Rely X Unicem (3M ESPE)). Each group was tested in shear bond strengths by UTM. A 1-way analysis of variance and 2-way analysis of variance was used to analyze the data ($\alpha$ = .05). Results: RelyX unicem in combination tribochemical silica-coating produced a highest bond strength (P < .05). Air abrasion group and Rocatec treatment groups resulted in significantly higher than no conditioning group (P < .05). RelyX Luting groups showed lower bond strength than other groups. There were significant differences among groups (P < .05). Conclusion: Within the limitation of this study, RelyX Unicem cement provided the highest bond strength and Rocatec treatment enhanced the bond strength.

Genetic Studies in Some Agronomic Characters in Rapeseed (Brassica napus L.) 1. Genetic analysis for maturity, plant height and grain weight per plant. (유채의 실용형질에 대한 유전연구 -제 1 보 유채의 초장, 성숙기 및 종실중의 유전분석-)

  • Lee, J.I.;Kwon, B.S.;Chae, Y.A.
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.29 no.1
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    • pp.84-88
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    • 1984
  • To obtain basic information on the breeding of early maturing, short plant height rapeseed varieties, the following 7 varieties, Isuzu, Miyuki, Norin 25, Rang, Yongdang, Cresus and Tower were used in diallel crosses in 1979. Maturing date, plant height and grain weight per plant for the parents, $F_1$'s and $F_2$'s of the 7 x 7 partial diallel crosses were measured in 1981 for analysis of their genetic behavior. The results obtained are summarized as follows: 1. The days to maturing of $F_1$'s showed complete dominance for early maturing, and both additive and dominance genetic variances were significant. Number of effective factors in $F_1$'s was 3, but in $F_2$'s was 1. The degree of dominance in $F_1$'s was partial, while in $F_2$'s was complete. Both broad and narrow sense herita-bilities in $F_1$'s was high, while in $F_2$'s was low. 2. Yield per plant in $F_2$'s was controlled by additive component of genetic variance only, but $F_1$'s was different. The degree of dominance in $F_1$'s was complete, while in $F_2$'s was partial. The direction of dominance showed almost complete dominance over high yield and three effective factors was estimated. Yield per plant was controlled by recessive genes. 3. The plant height was controlled by both dominance and additive variance. Dominance was directed toward tall plant height. Number of effective factors was 2, and broad and narrow sense heritability were high in the plant height.

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