• Journal of Dental Rehabilitation and Applied Science
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• v.35 no.4
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• pp.214-219
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• 2019

Purpose: The aim of this study was to evaluate the correlation between inter-condylar width and inter-maxillary first molar width to present the criteria for prosthetic reconstruction of dental arch width in maxillary and mandibular fully edentulous patients. Materials and Methods: 120 Koreans (60 males and 60 females) who underwent the cone beam computerized tomography (Cone-beam CT) were selected. The Cone-beam CT images were analysed using Invivo 5.1. After reorientation of axis, inter-maxillary first molar width was measured by clicking both mesio-buccal cusp tip of maxillary first molar. And inter-condylar width was measured by clicking both middle points of condyles. The collected data were analysed with SPSS Version 20.0 and statistical significance of the correlation between inter-condylar width and inter-maxillary first molar width was verified by Pearson's correlation analysis. Results: The mean inter-condylar width of Korean was 105.9 mm, and that of male (108.3 mm) was statistically significantly wider than the female (103.4 mm). The inter-maxillary first molar width of Korean was 57.1 mm, and that of male (57.9 mm) was statistically significantly wider than the female (56.2 mm). Pearson's correlation analysis between inter-condylar width and inter-maxillary first molar width showed a Pearson correlation coefficient of 0.614 and statistically significantly positive correlation. Conclusion: Intercondylar width and inter-maxillary first molar width showed positive correlation and the average ratio of inter-condylar with and inter-maxillary first molar width was 1:0.54. Based on the results of this limited study, inter-condylar width can be used as a guide for setting up dental arch width in fully edentulous patient.

• Journal of Korean Clinical Health Science
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• v.3 no.1
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• pp.256-267
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• 2015

Purpose. The objective of this study was to investigate factors influencing turnover intention index of work environment, emotional labor by hospital nurses Methods. A survey was conducted with 290 nurses who were working hospital. Data were analyzed using descriptive statistics, t-test, ANOVA, Pearson correlation coefficients and multiple regression with SPSS window 18.0 program. Result. Findings revealed that; 1) The mean scores were 2.81 [range : 1-5] for work environment, 3.24 [range : 1-5] for emotional labor, 3.43 [range : 1-5] for turnover intention. 2) Pearson's correlation revealed work environment was negatively correlated with turnover intention but emotional labor positively correlated with the turnover intention. 3) Hrarchical multiple regression analysis showed work environment, ages, assign ward, period in current hospital, emotional labor significantly influenced turnover intention in hospital nurses. Conclusion. These findings can be utilized to development of strategies to improving the work environment, managing the emotional labor for decreasing turnover intention of hospital nurses so that can be long time.

• 한국경영정보학회:학술대회논문집
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• 2007.06a
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• pp.576-581
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• 2007

The purpose of this paper is to strengthen trust on the automated collaborative filtering system. Automated collaborative filtering system is quickly becoming a popular technique for recommendation system. This elaborative methodology contributes for reducing information overload and the result becomes index of users' preference. In addition, it can be applied to various industries in various fields. After it collaborative filtering system was developed, many researches are executed to enhance credibility and to apply in various fields. Among these diverse systems, collaborative filtering system which uses Pearson correlation coefficient is most common in many researches. In this paper, we proposed new process diagram of collaborative filtering algorithm and new factors which should improve the credibility of system. In addition, the effects and relationships are also tested.

• Journal of Nutrition and Health
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• v.26 no.3
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• pp.357-366
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• 1993

The purposes of this study were to investigate the operational affecting productivity in hospital foodservice, and to examine the relationships between operational factors affecting productivity. The 28 hospitals over 400 beds in Seoul were mailed questionnaires assessing the factors that affect productivity in hospital foodservice(23 hospitals responded). Data analyses included descriptive statistics. Pearson product moment correlation analysis, and stepwise multiple regression analysis. The result of Pearson product moment correlation analysis indicated that the percentage of patient meals was significantly correlated to the productivity (r=.5560, p<.01). Stepwise multiple regression analysis indicated that the percentage of patient meals and the average work hours of employees were significant predictors of the operational factors at productivity.

• The Korean Journal of Applied Statistics
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• v.18 no.2
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• pp.371-379
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• 2005

In this paper, we propose a pattern consistency index for detecting heterogeneous time series that deviate from the representative pattern of each cluster in clustering time course gene expression data using the Pearson correlation coefficient. We examine its usefulness by applying this index to serum time course gene expression data from microarrays.

• Journal of Fashion Business
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• v.5 no.2
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• pp.117-127
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• 2001

This study identified self-image of the eldery wemen by relatied to body-satisfaction, self-image, shopping-orientatons. For study, a questionnaire was used a method of mearsurement and eldery women in seoul and kyunggi were selected as a sample. Data was processed by SPSS PC+ program and analyzed by using frequency, percentage, t-test, factor analysis and Pearson's correlation. As a result, the body-satisfaction of eldery women was very low, their pursuiting self-image was gracios, younger, noble. The self-image classified grace attraction factor, intelligence factor and activity factor. Relationship between body-satisfaction and self-images was significant to gracious attractive factor and active factor. The shopping-orientatons classified brand name disply factor, personality pride factor, pratical benefit factor, prudence factor, planning purchase factor. Shopping-orientatons and self-images were significant to Pearson's correlation. The aim of this study help fashion contractors and retailers to establish effective marketing strategies.

• Korean Journal of Veterinary Research
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• v.46 no.1
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• pp.47-55
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• 2006

To evaluate method for monitoring anesthetic depth with quantitative electroencephalography (q-EEG), we recorded processed EEG (raw EEG) and pain score till 100 minutes in beagle dogs anesthetized for 60 minutes with propofol (n = 5, PRO group), isoflurane (n = 5, ISO group) and propofol-ketaminefentanyl (n = 5, PFK group). Raw EEG was converted into 95% spectral edge frequency (SEF) by fast Fourier transformation (FFT) method. We investigated anesthetic depth by comparing relationship (Pearson's correlation) between q-EEG (95% SEF) and pain score. Pearson's correlation coefficients are +0.2372 (p = 0.0494, PRO group), +0.79506 (p < 0.001, ISO group) and +0.49903 (p = 0.0039, PFK group).

• ETRI Journal
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• v.36 no.4
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• pp.545-553
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• 2014

This paper proposes an algorithm to sense orthogonal frequency-division multiplexing (OFDM) signals in cognitive radio (CR) systems. The basic idea behind this study is when a primary user is occupying a wireless channel, the covariance matrix is non-diagonal because of the time domain cross-correlation of the cyclic prefix (CP). In light of this property, a new decision metric that measures the power of the data found on two minor diagonals in the covariance matrix related to the CP is introduced. The impact of synchronization errors on the signal detection is analyzed. Besides this, a likelihood-ratio test is proposed according to the Neyman-Pearson criterion after deriving probability distribution functions of the decision metric under hypotheses of signal presence and absence. A threshold, subject to the requirement of probability of false alarm, is derived; also the probabilities of detection and false alarm are computed accordingly. Finally, numerical simulations are conducted to demonstrate the effectiveness of the proposed algorithm.

• Journal of the Korean Home Economics Association
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• v.41 no.7
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• pp.25-38
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• 2003

This study explored the terminal values(Rokeach's Value) and 5-money spending styles of girls in Yanbian, China and those in South Korea. The subjects were 466 school girls in Yanbian, China and 498 high school girls in South Korea. We used Cronbach' α, t-test, and Pearson correlation analysis as statistical analysis. The results were summarized as follows : 1) at the top of the terminal value hierarchy of girls in the two countries were family security and happiness. 2) resulting from the t-test, there found significant differences between the 5-money spending styles of the Yanbian girls and that of the Korean girls. 3) resoling from the Pearson correlation analysis, there found similarities and differences in relationship between terminal values and money spending styles in two groups.

• Journal of the Korean Data and Information Science Society
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• v.17 no.3
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• pp.775-784
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• 2006

This study is to investigate the effect of the number of co-rated users to the MAE. User based collaborative algorithm generally uses similarity weight to compute the relation of active user and other users. The original estimation algorithm of the GroupLens used the Pearson's correlation coefficient, soon after other researchers used various weighting. The Pearson’s correlation coefficient and Vector similarity, which is used in the field of information retrieval, are commonly used to the estimation algorithm. In prediction, we analyze the effect of the number of co-rated users on the user based recommender system.