• Title/Summary/Keyword: Variance of Analysis

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Factors Affecting the Performance of Nurses in Delirium Care (간호사의 섬망간호 수행에 영향을 미치는 요인)

  • Kang, Jin Seon;Song, Hyo Jeong
    • Journal of Korean Critical Care Nursing
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    • v.12 no.1
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    • pp.13-21
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    • 2019
  • Purpose : The aim of this study was to identify the factors influencing nursing performance in caring for patients with delirium. Methods: This study included 166 nurses who worked for more than 6 months at 4 general hospitals in Jeju Province, South Korea. Patients were administered a self-reported questionnaire. The study was carried out from May 20, 2014, to June 19, 2014. Data analyses were conducted using stepwise multiple regression, Pearson's correlation coefficients, t-test, and analysis of variance using the SAS WIN 9.2 program (SAS Institute, Cary, NC, USA). Results: The factors associated with nurses' performance in delirium care were work position (${\beta}=.22$, t=2.58, p <.001) and having received education on delirium care (${\beta}=.16$, t=2.24, p=.026). Conclusion: The results showed that the nurses' work position and having received education on delirium care affected nursing performance in delirium care. In order to improve nurses' performance in delirium care, hospitals should provide a delirium education program for nurses and establish standard guidelines on delirium care.

Factors associated with Maternal Attachment of Breastfeeding Mothers

  • Kim, Sun-Hee
    • Child Health Nursing Research
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    • v.25 no.1
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    • pp.65-73
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    • 2019
  • Purpose: This study aimed to identify factors associated with maternal attachment of breastfeeding mothers, with a focus on the mothers' breastfeeding characteristics. Methods: Data were collected from 217 mothers who breastfed their healthy baby for 1 month after childbirth and had no postpartum complications. The data were analyzed by hierarchical regression analysis. Results: The factors significantly associated with maternal attachment were an emotional exchange with one's baby (${\beta}=.41$, p<.001), breastfeeding confidence (${\beta}=.20$, p=.022), depression ('quite a bit or more', ${\beta}=-.18$, p=.005), and depression ('a little', ${\beta}=-.14$, p=.024). The model explained 38.4% of variance in maternal attachment. Conclusion: In order to improve attachment, nurses should be actively supported in helping mothers in the first month postpartum adapt to breastfeeding. Interventions to prevent postpartum depression should also be conducted.

Performance of PCA Algorithm for Multivariate Data Analysis (다변량 데이터 분석을 위한 PCA 알고리즘 구현)

  • Gim, GwiSuk;Shon, Ho Sun;Ryu, Keun Ho;Lee, YoungSung
    • Annual Conference of KIPS
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    • 2013.11a
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    • pp.1264-1266
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    • 2013
  • 다변량 데이터 분석에 주로 사용되는 차원축소 기법 중 하나인 PCA 알고리즘을 직접 구현해보고 기존의 통계분석 프로그램과 그 결과를 비교분석 해보았다. UCI에서 제공하는 유방암 데이터를 이용하여 실험 해본 결과 두 프로그램 모두 같은 주성분을 얻고, Eigenvalue와 variance도 같은 값을 얻었다. 따라서 상용화된 통계패키지를 사용하지 않고도 PCA 알고리즘을 적용하여 차원축소 문제를 해결하고 데이터를 분석 할 수 있다.

The Effects of Job Atisfaction and Organizational Commitment on the Level of Organizational Learning for the Private Security Guards (민간경비원의 조직학습화 수준에 따른 조직몰입이 직무만족에 미치는 영향)

  • Kang, Dong-beom;Kim, Sang Jin
    • Convergence Security Journal
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    • v.16 no.1
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    • pp.49-58
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    • 2016
  • This study is to suggest that the Effects of job satisfaction and Organizational Commitment on the Level of Organizational Learning for the Private Security Guards. in Seoul and in the sales launch of the eight companies selected by the wireless, Companies under the cooperation of managers throughout the visit and the subjects of this study was good enough for the purpose described by the following stratified cluster random sampling 2009 September to 10 October to call a total of 320 questionnaires distributed 51 copies unfaithful 259 copies were used except for analysis. I used SPSSWIN 21.0 and AMOS 21.0 to reliability analysis, factor analysis, correlation analysis, independent-sample t-test, analysis of variance, stepwise multiple regression analysis and path analysis. The level of statistical significance was set to .05. The following are conclusions. the business aspect and human aspect in the Level of Organizational Learning has an effect on the Organizational Commitment. and the Organizational Commitment has an effect on the Job Satisfaction.

External Morphology and Numerical Taxonomy of Hanabusaya asiatica Populations in Different Habitats (자생지별 금강초롱꽃의 외부형태 및 수리분류)

  • 유기억;이우철;류승열
    • Korean Journal of Plant Resources
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    • v.13 no.1
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    • pp.80-88
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    • 2000
  • External morphology and numerical taxonomy by principal component analysis and cluster analysis were investigated to understand the taxonomic relationships on the populations of Hanabusaya asiatica from 6 different habitats. Additionally H. latisepala was used as a outgroup. The distinct characters to each habitat were not present in the measurement of 21 qualitative characters except for some native individuals in the top of Mt. Sorak and Hyangrobong based on leaf shape and bracts. This results were recognized as the continuous variations of external morphology. The populations of H. latisepala and H. asiatica were identified by calyx lobe shape. The results obtained based on the principal component(PC) analysis of treated 78 OTU were divided into two groups by PC 1,2,3, and the sums of contributions for the total variance were 50.07% (PC1 22.3% , PC2 15.7%, PC3 12.0%, respectively), and six populations were not distinctly identified as illustrated in two dimensions with PC1 and PC2. In cluster analysis based on average linkage cluster analysis and Ward's method, there were similarities in the composition of clustered taxa, and each populations were not identified.

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A Study of Eliminating the Vehicle Noise of Engine RPM from the Friction Noise between Tire and Road Pavement by Using a NCPX Method (NCPX 계측방법을 이용한 타이어/노면 사이에서 발생하는 마찰소음에 대한 차량자체에서 발생하는 소음 제거 연구)

  • Han, Bong-Koo;Kim, Do Wan;Mun, Sungho;Kim, Ha-Yeon
    • International Journal of Highway Engineering
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    • v.15 no.4
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    • pp.31-42
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    • 2013
  • PURPOSES : The purpose of this study is to eliminate the noise of the vehicle after measuring the friction noise obtained from the NCPX (Noble Close ProXimity) method. The pure friction noise between the tire and road pavement could be determined from filtering the compositeness of sound and the influence of the vehicle noise. METHODS: The noise magnitude could be determined by analyzing the sound pressure level (SPL) and sound power level (PWL) along with the noise frequency of a FFT (Fast Fourier Transform) analysis as well as CPB (Constant Percentage Bandwidth) analysis. RESULTS: When the test for measuring the friction noise originated somewhere between tire and road pavement is performed with NCPX method, it must be fulfilled by attaching the surface microphone near the tire. In this condition, the surface microphone can measure the friction noise occurred at between tire and pavement, the chassis noise from the engine and power transfer units, the fluctuating aerodynamic noise, and the turbulence noise directly affected to the surface microphone. By using the NCPX method, the noise occurred at the vehicle must be eliminated for measuring the friction noise between tire and pavement from the traffic noise. CONCLUSIONS: The vehicle's testing engine noise depends on the vehicle and road types. The effect of vehicle's engine noise is less than the friction noise occurred at between tire and pavement at less than 1% effect.

The Stochastic Finite Element Analysis and Reliability Analysis of the Cable Stayed Bridge Subjected to Earthquake Load (지진하중을 받는 사장교의 확률유한요소해석 및 신뢰성해석)

  • Shin, Jae-Chul;Han, Sung-Ho
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.18 no.1
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    • pp.29-42
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    • 2005
  • Considering the effect by uncertainty in the structures, it is reasonable that the safety examination has to be performed by using method of reliability evaluation. Therefore, in this study, program is developed which can perform the reliability analysis or the dynamic response analysis more efficiently by formularizing the stochastic finite element analysis suitable for the existing reliability analysis about the cable stayed bridge suffering the seismic loads. Based on this program, the characteristic of dynamic responses is analyzed quantitatively by examining the average, the standard deviation and the coefficient of variance about the displacement, the resistance and the tension of cable according to the random variables. and the safety of cable stayed bridge is evaluated by examining of reliability index and failure probability

Characteristics of Lower-Body Shapes in Obese Women for the Improvement of Fit (Plus-size여성의 맞음새 향상을 위한 하반신 체형 연구)

  • Yoon, Hye Jun;An, Jae Sang;Yoon, Ji Won
    • Fashion & Textile Research Journal
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    • v.15 no.2
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    • pp.240-246
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    • 2013
  • Data from 540 subjects (included in the obesity group whose BMI was over 25) was selected from 2,445 subjects in the $6^{th}$ Korean Body Size Survey. A total of 25 direct measurements were selected for the relevant literature lower body size measurement analysis, that included 9 components related to BMI, height and circumferences, 3 components related to width and thickness, 5 components related to length, 3 components related to height, and 2 other components. Descriptive statistics, factor analysis, cluster analysis and variance analysis were executed using PASW 18.0 to analyze the data. In accordance with the factor analysis results to classify the lower body shape of overweight women in their 20s to 60s whose BMI was over 25, 4 factors were identified (lower body volume, leg volume, lower body length and leg length). A total of 4 lower body shapes of overweight women were found through cluster analysis using 4 factor scores from the factor analysis. Body Shape 1 had the largest lower body and leg volume. It was the heaviest group. Leg length was at a normal level. Body Shape 1 was 22.2% (122 subjects). Body Shape 2 had the longest legs and the smallest body shape; however, Body Shape 2 was the leg obesity group with the largest leg volume. It was 39.8% (215 subjects). Body Shape 3 had a smaller leg volume in proportion to the lower body thickness and a long lower body length. It comprised 27.8% (150 subjects). Body Shape 4 comprised 9.8% (53 subjects) with the shortest leg. Its lower body obesity was at a normal level.

Output only structural modal identification using matrix pencil method

  • Nagarajaiah, Satish;Chen, Bilei
    • Structural Monitoring and Maintenance
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    • v.3 no.4
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    • pp.395-406
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    • 2016
  • Modal parameter identification has received much attention recently for their usefulness in earthquake engineering, damage detection and structural health monitoring. The identification method based on Matrix Pencil technique is adopted in this paper to identify structural modal parameters, such as natural frequencies, damping ratios and modal shapes using impulse vibration responses. This method can also be applied to dynamic responses induced by stationary and white-noise inputs since the auto- and cross-correlation function of the two outputs has the same form as the impulse response dynamic functions. Matrix Pencil method is very robust to noise contained in the measurement data. It has a lower variance of estimates of the parameters of interest than the Polynomial Method, and is also computationally more efficient. The numerical simulation results show that this technique can identify modal parameters accurately even if the noise level is high.

Optimal Process Condition for Products with Multi-Categorical Ordinal Quality Characteristic (다범주 순서형 품질특성을 갖는 제품의 최적 공정조건 결정에 관한 연구)

  • Kim Sang-Cheol;Yun Won-Young;Chun Young-Rok
    • Journal of Korean Society for Quality Management
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    • v.32 no.3
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    • pp.109-125
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    • 2004
  • This paper deals with an optimal process control problem in production of hull structural steel plate with high defective rate. The main quality characteristic(dependent variable) is the internal quality(defect) of plates and is dependent on process parameters(independent variables). The dependent variable(quality characteristics) has three categorical ordinal data and there are 35 independent variables(29 continuous variables and 6 categorical variables). In this paper, we determine the main factors and to develop the mathematical model between internal quality predicted probabilities and the main factors. Secondly, we find out the optimal process condition of main factors through analysis of variance(ANOVA) using simulation. We consider three models to obtain the main factors and the optimal process condition: linear, quadratic, error models.