• Physical Therapy Rehabilitation Science
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• v.2 no.1
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• pp.57-61
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• 2013

Objective: To determine the correlation among three functional tests: single leg vertical jump (SLVJ), single leg hop for distance (SLHD), and single leg squat (SLSQ). Design: Cross sectional study. Methods: Twenty healthy men (n=10) and women (n=10) with no history of lower extremity dysfucntion participated in this study and performed in university research laboratory. The procedures consisted of a general warm-up, a task-specific warm-up, actual testing, and a cool down. All participants performed the three tests in random order. Each test was performed three times for the dominant and non-dominant lower extremity (LE). SLVJ, SLHD, SLSQ were measured using a standard tape measure. Results: Statistically significant difference was presented between dominant LE and non-dominant LE in each function test (p<0.05). The strongest correlation was between SLVJ and SLSQ, 0.939 and 0.883 for dominant and non-dominant LE, respectively (p<0.05). The weakest correlation was between SLVJ and SLHD, 0.713 for dominant (p<0.05) and between SLSQ and SLHD, 0.739 for non-dominant (p<0.05). Conclusions: There is a strong correlation between SLVJ and SLSQ, suggesting that each test measures similar constructs of function and can be substitutive, while weak correlation between SLSQ and SLHD suggest these two tests do not measure the same functional components and could be paired as outcome measures for the clinical assessment of LE function. It will provide physical therapist with scientific evidence for effective test combination of LE function assessment in clinical practice.

• Communications of the Korean Mathematical Society
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• v.20 no.4
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• pp.695-702
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• 2005

We study the transformed measures with respect to the real parameters of a self-similar measure on a self-similar Can­tor set to give a simple proof for some result of its multifractal spectrum. A transformed measure with respect to a real parameter of a self-similar measure on a self-similar Cantor set is also a self­similar measure on the self-similar Cantor set and it gives a better information for multifractals than the original self-similar measure. A transformed measure with respect to an optimal parameter deter­mines Hausdorff and packing dimensions of a set of the points which has same local dimension for a self-similar measure. We compute the values of the transformed measures with respect to the real parameters for a set of the points which has same local dimension for a self-similar measure. Finally we investigate the magnitude of the local dimensions of a self-similar measure and give some correlation between the local dimensions.

• Proceedings of the KIEE Conference
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• 2004.11c
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• pp.165-168
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• 2004

This paper propose a target tracker using phase correlation. The tracker consist of a pre-processing module, a translation estimation module based on phase correlation, a fine motion estimation module applied when confidence rate could not fulfill a threshold value and a reference image update module. The fine motion estimation module measure the shift, rotation and scale of input image compared to reference using Fourier-Mellin transform. Proposed tracker was tested its accuracy and robustness using some real indoor and outdoor image sequences.

• The Journal of Internal Korean Medicine
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• v.19 no.1
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• pp.97-113
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• 1998

BACKGROUND The purpose of this study was to investigate disability of the patients after stroke, clinical applicability and usefulness of the FIM in evaluating the functional abilities and to assess the characteristics of the patients after stroke. And this study examined difference by predictive factors on the treatment outcome. METHOD The study was composed of 31 stroke patients who were within 1 week after stroke and had been treated in hospital more than 4 weeks. Improving rate was measured by using the Functional Independence Measure(FIM), and the correlation was analyzed between Motor FIM and Cognitive FIM. We analyzed significant meaning statistically in the mean value of FIM. RESULT 1. There was no significant meaning statistically in the mean value of FIM that was between both at admission and after 2 weeks. But there was proportional correlation between both at admission and after 4 weeks, and significant meaning statistically. 2. There was proportional correlation between both FIM and Motor FIM, and significant meaning statistically. But there was no significant meaning statistically between both FIM and Cognitive FIM. 3. There was no significant meaning statistically between both FIM and sex, age, side of weakness, stroke subtype, hypertension, hypercholesterolemia, diabetes mellitus, heart disease, starting point of rehabilitation therapy and past history of cerebral vascular accident. While dysarthria affected functional recovery in stroke patients, and significant meaning statistically. CONCLUSION 1. FIM appeared to be a valid and reliable method to measure the functional abilities of the patients after stroke. 2. Only one thing between Motor FIM and score didn't influence FIM score. 3. Dysarthria affected functional recovery in stroke patients, and it is the statistically significant factor.

• 한국신재생에너지학회:학술대회논문집
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• 2005.06a
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• pp.17-20
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• 2005

This paper presents an overview analysis on the observed wind shear at Pohang Steel Works, focusing on diurnal patterns and the frequency of high nighttime shear at the site in case of land breeze. In addition, this paper discusses the importance of accurate shear estimates for reliable evaluation of wind energy density. In order for a long-term correlation of the site, three Measure-Correlate-Predict methods were tested with Pohang wind data and it was shown that the linear MCP gives poor estimation due to the geographic characteristics of complex terrain where the severe transformation of wind direction was accompanied.

• New & Renewable Energy
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• v.1 no.2 s.2
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• pp.26-33
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• 2005

This paper presents and overview analysis on the observed wind shear at Pohang Steel Works. focusing on diurnal patterns and the frequency of high nighttime shear at the site in case of land breeze. In addition, this paper discusses the importance of accurate shear estimation for reliable evaluation of wind energy density. In order for long-term correlation of the site, three Measure-Correlate-Predict methods were tested with Pohang wind data and it was shown that the linear MCP gives poor estimation due to the topological characteristics of complex terrain where the severe transformation of wind direction was accompanied.

• The Journal of Korean Obstetrics and Gynecology
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• v.18 no.1
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• pp.242-252
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• 2005

Purpose : This study carried out to develop the questionnaires that can measure objectively menstrual quantity and determine quantity index. Method : First, we made questionnaires to measure menstrual quantity by six question. Then we investigated 1309 women's questionnaires who has the menses. Conclusion : 1. the questionnaires that can measure objectively menstrual quantity and determine quantity index was high a correlation coefficient therefore those were used Method of Menstrual Quantity(here after MMQ) calculation. Those were added and averaged. 2. We examined correlation of calculated MMQ and women's questionnaires who has the menses therefore we got 0.30~0.47 correlation. 3. MMQ 1~3(hypomenorrhea) was 39 persons 3.19%, MMQ 4~6(normal menorrhea) was 1050 persons 85.85% and MMQ 7~10(hypermenorrhea) was 134 persons 10.96%. MMQ 4 tended to be little and MMQ 6 tended to be much. 4. MMQ confidence was high as 82% comparatively so we thought MMQ was appropriate as the measured method of menstrual quantity.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.12
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• pp.2291-2297
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• 2017

This paper describe to extract speech measure algorithm for evaluating a speech database, and presents generating method of a speech quality measure using DNN(Deep Neural Network). In our previous study, to produce an effective speech quality measure, we propose a combination of various speech measures which are highly correlated with WER(Word Error Rate). The new combination of various types of speech quality measures in this study is more effective to predict the speech recognition performance compared to each speech measure alone. In this paper, we describe the method of extracting measure using DNN, and we change one of the combined measure from GMM(Gaussican Mixture Model) score used in the previous study to DNN score. The combination with DNN score shows a higher correlation with WER compared to the combination with GMM score.

• Journal of Veterinary Clinics
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• v.27 no.4
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• pp.427-434
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• 2010

Correlation is a technique used to measure the strength or the degree of closeness of the linear association between two quantitative variables. Common misuses of this technique are highlighted. Linear regression is a technique used to identify a relationship between two continuous variables in mathematical equations, which could be used for comparison or estimation purposes. Specifically, regression analysis can provide answers for questions such as how much does one variable change for a given change in the other, how accurately can the value of one variable be predicted from the knowledge of the other. Regression does not give any indication of how good the association is while correlation provides a measure of how well a least-squares regression line fits the given set of data. The better the correlation, the closer the data points are to the regression line. In this tutorial article, the process of obtaining a linear regression relationship for a given set of bivariate data was described. The least square method to obtain the line which minimizes the total error between the data points and the regression line was employed and illustrated. The coefficient of determination, the ratio of the explained variation of the values of the independent variable to total variation, was described. Finally, the process of calculating confidence and prediction interval was reviewed and demonstrated.

• Journal of the Korean Society for Precision Engineering
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• v.31 no.10
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• pp.889-895
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• 2014

Machine parts and structures of a change in the displacement and strain can be evaluated safety is one of the important factors. Typically the strain gauge has been employed to measure the displacement and strain. However, this contact-type measurement method has disadvantages that are not measured under condition of specific object shape, surface roughness and temperature. In particularly, 3 point bending and 4 point bending test not use strain gauge. So its test used cross head displacement and deflect meter. Digital Image Correlation measurement methods have many advantages. It is non contact-type measurement method to measure the object displacements and strain. In addition, it is possible to measure the Map of full field displacements and strain. In this paper, measured the 3 point bending deflection using the Digital Image Correlation methods. In order to secure the reliability, Digital Image Correlation method and universal test machine were compared.