• Physical Therapy Rehabilitation Science
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• v.13 no.3
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• pp.368-373
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• 2024

Objective: This study investigates the influence of femoral and knee torsion angles on toe in-out orientation in adults. Design: Cross-sectional study design. Methods: We measured the passive internal and external rotation range of motion (ROM) of the hip and knee joints in 21 participants using a goniometer. Toe in-out orientation was assessed with the GaitRite gait analysis system during slow and fast walking trials over a 6-meter walkway. Pearson correlation analysis was used to examine the relationship between joint ROM and gait angle at both walking speeds. Intra- and inter-rater reliability were assessed, and simple linear regression was conducted to explore these relationships. Results: Intra-rater reliability demonstrated high reliability (0.84<ICC<0.94), while inter-rater reliability (0.44<ICC<0.83) exhibited moderate to high reliability. Significant correlations were found between the hip joint's range of motion and the gait angle at slow walking speed. Similar results were observed at fast walking speed for the hip joint. Multiple regression analysis revealed that the neutral angle of the hip joint (β=0.660, p<0.001) and the neutral angle of the knee joint (β=0.284, p=0.034) significantly contributed to the toe-out angle. Conclusions: Our findings indicate a significant correlation between the range of motion of the hip joint and toe in-out orientation. A decrease in the hip joint internal rotation angle was associated with a decrease in toe in-out, while an increase in the mid-angle was associated with an increase in toe in-out.

• 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.

• Journal of Conservation Science
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• v.27 no.2
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• pp.145-154
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• 2011

This research was to examine the biological pollution class by color of the polluted section and calculate the biological pollution coverages of 9 stone heritages in Korea, from June to November 2008. Three storied stone pagoda in Mulgeol-ri, Hongcheon, Three storied stone pagoda in Suta Temple and Stupa to Hongudang in Sutasa Temple showed 90% biological pollution coverage and each stone cultural heritages showed 15~23% range of Bryophyte coverage, proving severe biological pollution. The Four-lion three storied stone pagoda of Gwaeseok-ri, Three storied stone pagoda in Suta Temple and Stupa to Hongudang in Sutasa Temple showed the worst biological pollution class by color of class 5. Three storied stone pagoda in Chang-ri showed satisfactory level of class 2. The result of the correlation analysis between biological pollution class and the biological pollution coverage of lichen showed high correlation coefficient of 0.91, however, the correlation analysis between biological pollution class and bryophyte or aerial algae coverage showed the low correlation coefficient. Eight taxa among all the aerial algae, Cosmarium decedens, Chlorella ellipsoidea, Anabaena fertilissima, Botryococcus braunii, Chroococcus turgidus, Navicula cryptocephala and Xenococcus acervatus showed high correlation coefficient of 0.56~0.85 with biological pollution coverage of bryophyte, in the correlation analysis. The correlation coefficient between biological pollution coverage of lichen, Trebouxia sp. and Chroococcus varius, had a range between 0.43 to 0.50. The correlation coefficient between biological pollution coverage of aerial algae, Achnanthes laterostrata and Ulothrix zonata showed a range of 0.57 to 0.76. Since the aerial algae with high correlation between biological pollution coverage showed clear appearance tendency, they can be used as indicator.

• Proceedings of the KSME Conference
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• 2008.11a
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• pp.701-705
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• 2008

Design analysis and computer experiments (DACE) model is widely used to express efficiently the nonlinear responses in the field of engineering design. Kriging model, a DACE model, can approximately replace a simulation model that is very expensive or highly nonlinear. The kriging model is composed of the summation of a global model and a local model representing deviation from global model. The local model is determined by correlation coefficient of the pre-sampled points, where determination of the correct correlation coefficient has an effect on accuracy and robustness of the kriging model. Therefore, robustness of the correlation coefficient is explored with respect to degrees of the global model. Then we propose the range of correlation coefficient to make correct and robust kriging model and the influence of the correlation coefficients on the degrees of global model with respect to the nonlinearity of the pre-sampled responses.

• Bulletin of the Korean Chemical Society
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• v.22 no.8
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• pp.807-815
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• 2001

Two-dimensional (2D) correlation method, which generates the synchronous and the asynchronous 2D spectrum by complex cross correlation of the Fourier transformed spectra, is an analysis method for the changes of the sample spectrum induced by vari ous perturbations. In the present work, the 2D electronic correlation spectra have been simulated for the cases where the sample spectrum composed of two gaussian bands changes linearly. When only the band amplitudes of the sample spectrum change, the synchronous spectrum shows strong peaks at the band centers of the sample spectrum, but the asynchronous spectrum does not make peaks. When the sample spectrum shifts without changing intensity and width, the synchronous spectrum shows peaks around the initial and final positions of the band maximum and the asynchronous spectrum shows long peaks spanning the shifting range. The band width change produces the complex 2D correlation spectra. When the sample spectrum shifts with band broadening, the width change by 50% of full width at half maximum (FWHM) does not give so large an effect on the correlation spectrum as the spectral shift by one half of FWHM of the sample spectrum.

• Journal of Electrical Engineering and Technology
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• v.11 no.2
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• pp.519-528
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• 2016

In order to achieve fast computational speed with good visual quality of output video, we propose a frequency domain based new fractal video compression scheme. Normalized cross correlation is used to find the structural self similar domain block for the input range block. To increase the searching speed, cross correlation is implemented in the frequency domain using FFT with one computational operation for all the domain blocks instead of individual block wise calculations. The encoding time is further minimized by applying rotation and reflection DFT properties to the IFFT of zero padded range blocks. The energy of overlap small size domain blocks is pre-computed for the entire reference frame and retaining the energies of the overlapped search window portion of previous adjacent block. Quadtree decompositions are obtained by using domain block motion compensated prediction error as a threshold to control the further partitions of the block. It provides a better level of adaption to the scene contents than fixed block size approach. The result shows that, on average, the proposed method can raise the encoding speed by 48.8 % and 90 % higher than NHEXS and CPM/NCIM algorithms respectively. The compression ratio and PSNR of the proposed method is increased by 15.41 and 0.89 dB higher than that of NHEXS on average. For low bit rate videos, the proposed algorithm achieve the high compression ratio above 120 with more than 31 dB PSNR.

• Journal of the Optical Society of Korea
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• v.18 no.5
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• pp.605-610
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• 2014

Clouds play an important role in climate change, in the prediction of local weather, and also in aviation safety when instrument assisted flying is unavailable. Presently, various ground-based instruments used for the measurements of the cloud base height or velocity. Lidar techniques are powerful and have many applications in climate studies, including the clouds' temperature measurement, the aerosol particle properties, etc. Otherwise, it is very circumscribed in cloud velocity measurements because there is no Doppler effect if the clouds move in the perpendicular direction to the laser beam path of Doppler lidar. In this paper, we present a method for the measurement of cloud velocity using lidar's range detection and DIC (Digital Image Correlation) system to overcome the disadvantage of Doppler lidar. The lidar system acquires the distance to the cloud, and the cloud images are tracked using the developed fast correlation algorithm of DIC. We acquired the velocities of clouds using the calculated distance and DIC algorithm. The measurement values had a linear distribution.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.6B
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• pp.1100-1105
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• 2000

The most widely used radar pulse compression technique is correlation processing using Barker code. This technique enhances detection sensitivity but, unfortunately, suffers from the addition of range sidelobes which sometimes will degrade the performance of radar systems. In this paper, our proposed optimal algorithm eliminates the sidelobes at the cost of additional processing and is evaluated in the presence of Doppler shift. We then propose optimal codes with regard to the proposed algorithm and the performance is compared against the traditional correlation processing with Barker codes. The proposed processing using optimal codes will be shown to be superior over the traditional processing in the presence of Doppler shift.

• Korean Journal of Clinical Laboratory Science
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• v.43 no.4
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• pp.133-137
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• 2011

The monitoring of heparin therapy is using almost aPTT assay. This study is compare to estimating aPTT therapeutic range using in vitro heparin-spiked sample and aPTT therapeutic range using in vivo heparin-treated sample. Normal pooled plasma was collected from 20 healthy representative individuals. 11 concentration of heparinized plasmas from 0 U/mL to 1.0 U/mL at intervals of 0.1 U/mL made by addition of heparin to normal pooled plasma were measured aPTT. The aPTT therapeutic range was performed through correlation analysis between heparin level 0.2 to 0.4 U/mL and aPTT. 30 plasmas from patients on heparin therapy were measured aPTT and anti-Xa activity. The aPTT therapeutic range was performed through correlation analysis between anti-Xa activity 0.3 to 0.7 U/mL and aPTT. The aPTT therapeutic range corresponded by heparin level-vs-aPTT value regression analysis was 60.7 to 102.4 seconds. The aPTT therapeutic range corresponded by anti-Xa activity-vs-aPTT value regression analysis was 85.3 to 147.5 seconds. The validation of heparin sensitivity using in-vitro heparin sample was not considered. The establishing aPTT therapeutic range is recommended anti-Xa activity using in-vivo sample.

• The Korean Journal of Applied Statistics
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• v.22 no.2
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• pp.271-280
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• 2009

For bivariate binomial data with both intra and inter-class correlation, Danaher and Hardie (2005) proposed a bivariate beta-binomial model. However, the model is limited to the situation where the intra-class correlation is strictly positive. Thus it might be seriously inadequate for data with a negative intra-class correlation. Several authors have considered generalized binomial distributions covering a wider range of intra-class correlation which could relax the possible model restrictions imposed. Among others there are the additive/multiplicative and the beta/extended beta binomial model. In this study, bivariate models of the Sarmanov (1966) type are formed by combining each of those univariate models to take care of the inter-class correlation, and are evaluated in terms of the goodness-of-fit. As a result, B-mB and B-ebB are fitted, successfully, to real data and that B-mB, which has a wider permissible range than B-ebB for the intra-class correlation is relatively preferred.