• Journal of the Korean Society of Physical Medicine
• /
• v.11 no.1
• /
• pp.115-125
• /
• 2016

PURPOSE: The purpose of this study was to compare the effects of task-oriented training and virtual reality training on upper extremity function, balance ability, depression in stroke patients. METHODS: Forty stroke patients were randomly allocated into a task oriented training group (TTG, n = 20), a virtual reality training group (VRG, n = 20). Both groups received the usual physical therapy. In addition, TTG patients underwent task training such as sweeping the table, cup stacking, carrying wood block. VRG patients underwent virtual reality training using X-box kinect. Both groups received 30 minutes of training per day, five times per week, for twelve weeks. RESULTS: After intervention, both groups showed significant improvement on upper extremity function, balance ability, and depression. VRG showed more improvement on upper extremity function, balance ability, and depression than TTG. CONCLUSION: According to the results of this study, task-oriented training and virtual reality training are feasible and suitable for stroke patients. And virtual reality training is more effective method than task oriented training.

• Journal of Society of Preventive Korean Medicine
• /
• v.5 no.2
• /
• pp.1-7
• /
• 2001

Jinhee-Twentyfour method Qigong (陳希夷二十四節氣坐功導引) is a traditional exercise which is known as qi-gong. It was first mentioned in ${\ll}$保生心鑒${\gg}$ published in Myung dynasty. But it is very difficult to know how to master Jinhee-Twentyfour method Qigong (陳希夷二十四節氣坐功導引) So we studied the training methods by analizing several books such as ${\ll}$遵生八${\gg}$ and ${\ll}$內外功圖說輯要${\gg}$ which have pictures of the training methods. It is known that to train Jinhee-Twentyfour method Qigong (陳希夷二十四節氣坐功導引) is not only limited to the exercise of the body but also training of the mind is an important factor. It is very important to know that the system of Hyung(形), Qi(氣), Sin(神) is needed for Jinhee-Twentyfour method Qigong (陳希夷二十四節氣坐功導引)

• Journal of IKEEE
• /
• v.24 no.4
• /
• pp.998-1003
• /
• 2020

In this paper, an emotion training method using emotional adaptation is proposed to improve the performance of the existing emotion recognition system. For emotion adaptation, an emotion speech model was created from a speech model without emotion using a small number of training emotion voices and emotion adaptation methods. This method showed superior performance even when using a smaller number of emotional voices than the existing method. Since it is not easy to obtain enough emotional voices for training, it is very practical to use a small number of emotional voices in real situations. In the experimental results using a Korean database containing four emotions, the proposed method using emotional adaptation showed better performance than the existing method.

• The Journal of Korean Institute of Communications and Information Sciences
• /
• v.34 no.3C
• /
• pp.257-267
• /
• 2009

This paper presents a training method for neural networks and the employment of MSE (mean scare error) values as the basis of a decision regarding the identity claim of a speaker in a recurrent neural networks based speaker verification system. Recurrent neural networks (RNNs) are employed to capture temporally dynamic characteristics of speech signal. In the process of supervised learning for RNNs, target outputs are automatically generated and the generated target outputs are made to represent the temporal variation of input speech sounds. To increase the capability of discriminating between the true speaker and an impostor, a discriminative training method for RNNs is presented. This paper shows the use and the effectiveness of the MSE value, which is obtained from the Euclidean distance between the target outputs and the outputs of networks for test speech sounds of a speaker, as the basis of speaker verification. In terms of equal error rates, results of experiments, which have been performed using the Korean speech database, show that the proposed speaker verification system exhibits better performance than a conventional hidden Markov model based speaker verification system.

• School Mathematics
• /
• v.15 no.4
• /
• pp.941-955
• /
• 2013

In this study, we conducted mathematics teacher training courses for an applying of 'Socratic method' in school mathematics. Teacher training courses were conducted with a total of 3 hours for 68 secondary mathematics teachers. In these courses, we overviewed the characteristics of Socratic method. Moreover we examined the mathematics lessons by Socratic method. And we dealt with the educational examples of Socratic method identified in previous studies. In addition, the survey was conducted before and after the teacher training courses. Through the survey, teachers have an opportunity to check their knowledge on Socratic method and reflect on their mathematics class. Based on the survey response data, we analyzed mathematics teachers' knowledge on Socratic method and the changes in teachers' thinking on their mathematics class. Based on the findings of this study, we proposed three directions of teacher education.

• Journal of Practical Engineering Education
• /
• v.14 no.2
• /
• pp.305-312
• /
• 2022

In this paper, we focused on training to create and optimize a basic data prediction model. And we proposed a gradient descent training method of machine learning that is widely used to optimize data prediction models. It visually shows the entire operation process of gradient descent used in the process of optimizing parameter values required for data prediction models by applying the differential method and teaches the effective use of mathematical differentiation in machine learning. In order to visually explain the entire operation process of gradient descent, we implement gradient descent SW in a spreadsheet. In this paper, first, a two-variable gradient descent training method is presented, and the accuracy of the two-variable data prediction model is verified by comparison with the error least squares method. Second, a three-variable gradient descent training method is presented and the accuracy of a three-variable data prediction model is verified. Afterwards, the direction of the optimization practice for gradient descent was presented, and the educational effect of the proposed gradient descent method was analyzed through the results of satisfaction with education for non-majors.

• Journal of Korean Academy of Nursing
• /
• v.29 no.4
• /
• pp.855-869
• /
• 1999

The purpose of this study was to test the effectiveness of self-management relaxation training through biofeedback and progressive muscle relaxation methods. The effectiveness of the experimental methods was tested by measuring the degree of symptoms of stress (SOS), the McNair's profile of Mood States (POMS), the levels of ephinephrine, norepinephrine, pulse rate, blood pressure and natural killer cells. The subjects of this study were sixty six nursing students divided into four groups : two groups were the biofeedback and progressive muscle relaxation groups, the other two groups served as control groups. One was a group of sophomores with no experience at all, the other a junior group without self -management or relaxation training. This study was conducted for eight weeks of clinical practice from April, 26th 1998 to June, 20th 1998. Biofeedback training was done with software developed by J&J company (1-410 form for abdominal respiration training). Progressive muscle relaxation training was done with u audiotape recorded according to Jacobson's Theory. The data were analyzed with frequencies, means, and analysis of covariance using the SPSS program and the significance level of statistics was 5%. The results of the study are : 1) The importance of clinical practice stress reduction is shown in that the level of symptoms of stress in the experimental groups in clinical practice was higher than in the group receiving only a lecture. 2) The relaxation training methods of biofeedback and progressive muscle relaxation were effective in reducing the symptoms of stress under the clinical practice stress conditions. 3) The effectiveness of the biofeedback training relaxation method to reduce symptoms of stress was higher than that of progressive muscle relaxation. 4) The relaxation training methods of biofeedback and progressive muscle relaxation were effective in reducing stressful mood states. 5) The relaxation training methods of biofeedback and progressive muscle relaxation were not effective in reducing epinephrine and norepinephrine levels. 6) The relaxation training methods of biofeedback and progressive muscle relaxation were effective in increaing the number of natural killer cells. 7) The relaxation training methods of biofeedback and progressive muscle relaxation were effective in decreasing high systolic and diastolic values of blood pressure and high pulse rates. In summary, the relaxation methods of biofeedback and progressive muscle relaxation in reducing clinical practice stress were effective in lowering the level of symptoms of stress and the profile of stressful mood states. They were also effective in lowering high blood pressure and pulse rates. The relaxation methods were effective in increasing the number of natural killer cells as part of the immune function. However, relaxation methods were not effective in reducing the catecholamine level. The biofeedback training method for reduction of symptoms of stress was more effective than the progressive muscle relaxation method.

• Nuclear Engineering and Technology
• /
• v.42 no.2
• /
• pp.151-162
• /
• 2010

A severe accident training simulator that can simulate important severe accident phenomena and nuclear plant behaviors is developed. The simulator also provides several interactive control devices, which are helpful to assess results of a particular accident management behavior. A simple and direct dynamic linked library (DLL) data communication method is used for the development of the simulator. Using the DLL method, various control devices were implemented to provide an interactive control function during simulation. Finally, a training model is suggested for accident mitigation training and its performance is verified through application runs.

• Journal of the Korea Institute of Military Science and Technology
• /
• v.7 no.3 s.18
• /
• pp.77-83
• /
• 2004

This paper focuses on a scheduling problem of military training. Repetitive and identical training over multiple serials is a common type of military education. A simple but systematic method is suggested to determine a training schedule for small groups divided from each serial. A satisfactory training schedule and the number of such small groups can be determined by iteratively solving assignment problems with additional constraints. With this method, loads of instructors can also be balanced without violating constraints associated with precedence and continuity relationships among lectures.

• Industrial Engineering and Management Systems
• /
• v.11 no.1
• /
• pp.26-29
• /
• 2012

In order to deal with the classification problems of type-2 fuzzy training samples on generalized credibility space. Firstly the type-2 fuzzy training samples are reduced to ordinary fuzzy samples by the mean reduction method. Secondly the definition of strong fuzzy linear separable data for type-2 fuzzy samples on generalized credibility space is introduced. Further, by utilizing fuzzy chance-constrained programming and classic support vector machine, a support vector machine based on type-2 fuzzy training samples and established on generalized credibility space is given. An example shows the efficiency of the support vector machine.