• The Korean Journal of Rehabilitation Nursing
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• v.9 no.1
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• pp.42-48
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• 2006

Purpose: The purpose of this study was to explore the effect of Tai Chi exercise on pain, balance, gait and physical function of patients with low back pain. Method: This study was designed one group pretest-posttest design. Tai Chi exercise was conducted by researcher and carried out for sixty minutes per one time and two times a week for six weeks. The subjects of this study consisted of 23 low back patients. Using the SPSS win 10.0 program was used for data analysis, which included frequency, percentage and paired t-test. Result: Tai Chi exercise decreased pain, improved balance and gait, increased physical function(back muscle strength, leg muscle strength and flexibility). Conclusion: The results suggested Tai Chi exercise can be effective nursing intervention to improve pain, balance, gait and physical function of patients with low back pain.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.10 no.1
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• pp.59-64
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• 2010

To improve system performance, we apply the concept of membership function to Variance Considered Machines (VCMs) which is a modified algorithm of Support Vector Machines (SVMs) proposed in our previous studies. Many classification algorithms separate nonlinear data well. However, existing algorithms have ignored the fact that probabilities of error are very high in the data-mixed area. Therefore, we make our algorithm ignore data which has high error probabilities and consider data importantly which has low error probabilities to generate system output according to the probabilities of error. To get membership function, we calculate sigmoid function from the dataset by considering means and variances. After computation, this membership function is applied to the VCMs.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.52 no.12
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• pp.691-697
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• 2003

This paper proposes a current differential relay for transformer protection that operates in accordance with a blocking method based on the difference-function of a differential current. For magnetic inrush and over-excitation, discontinuities in the first-difference function of the differential current arise at the points of inflection, which correspond to the start and end of each saturation period of the core. These discontinuities are converted into the pulses in the second- and third-difference functions of the differential current. The magnitudes of the pulses are large enough to detect saturation of the core. A blocking signal is issued if the magnitude of the third-difference function exceeds the threshold and is maintained for three quarters of a cycle. The performance of the relay is assessed under various conditions with magnetic inrush, internal faults and external faults. The proposed blocking method can improve significantly the operating time of a relay and achieve high sensitivity of a relay.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.4 no.3
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• pp.266-270
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• 2004

The image interpolation is one of an image preprocessing process to heighten a resolution. The conventional image interpolation used much to concept that it put in other pixel to select the nearest value in a pixel simply, and use much the temporal object interpolation techniques to do the image interpolation by detecting motion in a moving picture presently. In this paper, it is proposed the image interpolation techniques using the fuzzy wavelet base function. This is applied to embody a correct edge image and a natural image when expand part of the still image by applying the fuzzy wavelet base function coefficient to the conventional B-spline function. And the proposal algorithm in this paper is confirmed to improve about 1.2831 than the image applying the conventional B-spline function through the computer simulation.

• Journal of the Korean Data and Information Science Society
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• v.25 no.3
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• pp.677-684
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• 2014

Support vector quantile regression (SVQR) is capable of providing more complete description of the linear and nonlinear relationships among random variables. To improve the estimation performance of SVQR we propose to use SVQR ensemble with bagging (bootstrap aggregating), in which SVQRs are trained independently using the training data sets sampled randomly via a bootstrap method. Then, they are aggregated to obtain the estimator of the quantile regression function using the penalized objective function composed of check functions. Experimental results are then presented, which illustrate the performance of SVQR ensemble with bagging.

• Journal of International Academy of Physical Therapy Research
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• v.9 no.2
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• pp.1494-1497
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• 2018

This study aimed to determine the effect of McKenzie lumbar support on pulmonary function in Stroke patients. Twenty subjects (n=20) were divided into two groups: a McKenzie lumbar support group (MLS group=10), a control group (n=10). Pulmonary function was performed to assess its effectiveness. A spirometer was used to measure the forced vital capacity (FVC), forced expiratory volume in one second (FEV1), peak expiratory flow (PEF). The intervention was conducted for four weeks. In the MLS group, FEV1, FVC, and PEF were increased after McKenzie lumbar support. (p<0.05), while no significant differences in the variables were found in the control group (p>0.05). There were no significant differences in variables between the MLS group and the control group (p>0.05). Our findings suggest that applying Mckenzie lumbar support may be an alternative maneuver to improve pulmonary function in stroke patients.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2009.10a
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• pp.973-976
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• 2009

Digital signal processing technique use to variety fields including communication. For these signal processing, FIR digital filter is representative. And for FIR digital filter designing, the window function is used to reduce the Gibbs phenomenon which occurs in the coefficient cutting process of the ideal filter. Therefore, in this paper to improve performance of digital filter, a high-order window function was applied. In this simulation, we compared a peak side-lobe and a transient characteristics with the existing window function.

• Journal of Korea Multimedia Society
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• v.21 no.2
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• pp.87-97
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• 2018

Maximum intensity projection (MIP) is a common visualization technique in medical imaging system. A typical method to improve the performance of MIP is empty space leaping, which skips unnecessary area. This research proposes a new method to improve the existing empty space leaping. In order to skip more regions, we introduce a variety of acceleration strategies that use some tolerance given by the user to take part in image quality loss. Each proposed method shows various image quality and speed, and this study compares them to select the best one. Experimental results show that it is most efficient to add a constant tolerance function when the image quality required by the user is low. Conversely, when the user required image quality is high, a function with a low tolerance of volume center is most effective. Applying the proposed method to general MIP visualization can generate a relatively high quality image in a short time.

• The Transactions of the Korea Information Processing Society
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• v.7 no.6
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• pp.1827-1833
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• 2000

In this study, I've suggested how to improve the function of web-agents to find out the web-document users prefer. Web-agents employ TFIDF, which considers all the worked used in a document as equal in improtance to find out users' preferences. Web-documents like HTML, however, make visual differences by using different sizes of letters and highlighting them based on importance of words. In this study, I've attempted to improve the functions of the web-agents by differentiating the weight of each worked in accordance with the visual importance of each paragraph. To enhance functions, I've suggested how to make a profile from each paragraph to be consolidated later. As to suggested algorithms, I've tested their effects by comparing the established TFIDF algorithm with the function which helps users find documents they prefer.

• Clinical and Experimental Pediatrics
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• v.51 no.9
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• pp.935-943
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• 2008

Attention deficit hyperactivity disorder (ADHD) is a neurobehavioral developmental disorder characterized by a persistent pattern of inattention and/or hyperactivity, as well as forgetfulness, poor impulse control or impulsivity, and distractibility. The recommended evaluation includes documenting the type and severity of ADHD symptoms, verifying the presence of normal vision and hearing, screening for comorbid psychological conditions, reviewing the child's developmental history and school performance, and applying objective measures of cognitive function. Prevailing opinion characterizes ADHD as a disorder of executive function attributable to abnormal dopamine transmission in the frontal lobes and frontostriatal circuitry. A clearly defined etiology remains unknown, but studies suggest a strong genetic link. The aim of treatment is to decrease symptoms, enhance functionality, and improve well-being for the child and his or her close contacts. Stimulants remain the pharmacological agents of first choice for the management of ADHD, and psychosocial, behavioral and educational strategies that enhance specific behaviors may improve educational and social functioning in children with ADHD.