• The Journal of the Society of Stroke on Korean Medicine
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• v.14 no.1
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• pp.71-79
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• 2013

■ Objectives The goal of this pilot study is to observe the change of stroke gait by auditory cue training. ■ Methods An intracranial hemorrhage patient was trained for 4 weeks. For the 1^st consecutive 6days(the 1^st week), the patient was trained to walk with auditory cue, what was called auditory cue gait training condition. For the 2^nd consecutive 6days(the 2^nd week), the patient was trained to walk naturally without auditory cue, what was called free gait training condition. For the 3^rd consecutive 6days(the 3^rd week), the patient was trained to walk under auditory cue gait training condition. For the 4^th consecutive 6days(the 4^th week), the patient was trained to walk under free gait training condition. We analyzed the gait using a treadmill gait analysis system 3 hours after the 6^th gait training. ■ Results Auditory cue gait training showed effects on gait parameters, which were increasing walking velocity, step length, stride length, decreasing cadence, step time and stride time. ■ Conclusion Auditory cue gait training improved gait parameters of a stroke patient.

• Journal of Practical Engineering Education
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• v.15 no.2
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• pp.381-388
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• 2023

Through artificial neural network education using spreadsheets, non-major undergraduate students can understand the operation principle of artificial neural networks and develop their own artificial neural network software. Here, training of the operation principle of artificial neural networks starts with the generation of training data and the assignment of correct answer labels. Then, the output value calculated from the firing and activation function of the artificial neuron, the parameters of the input layer, hidden layer, and output layer is learned. Finally, learning the process of calculating the error between the correct label of each initially defined training data and the output value calculated by the artificial neural network, and learning the process of calculating the parameters of the input layer, hidden layer, and output layer that minimize the total sum of squared errors. Training on the operation principles of artificial neural networks using a spreadsheet was conducted for undergraduate non-major students. And image training data and basic artificial neural network development results were collected. In this paper, we analyzed the results of collecting two types of training data and the corresponding artificial neural network SW with small 12-pixel images, and presented methods and execution results of using the collected training data for Orange machine learning model learning and analysis tools.

• The Journal of the Convergence on Culture Technology
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• v.10 no.5
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• pp.23-28
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• 2024

So far, most of the military trainings were carried out in the field, and were influenced by the various parameters of the weather, the climate and the civil complaints regarding the noise. Also, it's the reality that the considerable time and resources are required to maneuver the weapon system used for the military training. Furthermore, the serious damage and casualties during tha military training are important parameters that can't be ignored. Recently, with the development of 5G communication networks and XR technologies, XR technologies are used in various fields that participate with multilateral parts, i.e. in military technology and training. In this paper, to implement the military education, 5G communication network and military education training system were established. The military education training system were composed that over 10 persons were possible to train in the various circumstances such as counter combat, mountains combat, urban combat and beaches combat. Also it is possible to fight with AI combatants, and train the gun disassembly and assembly, and train the various firing exercise. The military training system of using XR technologies were applied to the multilateral military training, and we analyzed the satisfaction results for the experienced persons of this XR system.

• Proceedings of the KWS Conference
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• 2002.10a
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• pp.82-88
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• 2002

Simulation systems allow a close inspection of the relation between welding parameters and the resulting weld seam. These systems are very useful in education of weld staff as well as production and planning. In training the influence of variations of parameters can be investigated without the need for real welding experiments. In the design phase requirements of the welding process can be taken into account without several iteration cycles. By estimating a good parameter set for the given welding task the set up phase for a new production cycle can be reduced

• International Journal of Industrial Entomology and Biomaterials
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• v.7 no.1
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• pp.79-82
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• 2003

To study the effect of mounting fully ripe and unripe silkworms at different maturation percentage, the ripe and unripe silkworms were mounted separately and observed the cocoon and reeling characters. The significant difference in the cocoon and reeling parameters was observed between all ripe and unripe batches except for summer season. The silkworms collecting together and mounting at a time can be recommended only in summer season and at certain level during rainy season.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.1133-1136
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• 2005

The MPEG/audio standard results from three years of co-work by an international committe of high-fidelity audio compression experts in the Moving Picture Experts Group (MPEG/audio). The MPEG standard is rigid only where necessary to ensure interoperability. In this paper, a new approach of training and classification of acoustic signal is addressed. This is some what a fields of application aspects rather than technonical problems such as MPEG/codec, MIDI. In preprocessing, acoustic signal is transformmed using DWT so as to extract a feature parameters of sound such as loudness, pitch, bandwidth and harmonicity. these accoustic parameters are exploited to the input vector of neural perceptron. Experimental results showed that proposed approach can be used for tunning the dissonance chord.

• Annual Conference of KIPS
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• 2021.11a
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• pp.446-448
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• 2021

In training a deep learning model, it is crucial to tune various hyperparameters and gain speed and accuracy. While hyperparameters that mathematically induce convergence impact training speed, system parameters that affect host-to-device transfer are also crucial. Therefore, it is important to properly tune and select parameters that influence the data loader as a system parameter in overall time acceleration. We propose an automated framework called Num Worker Tuner (NWT) to address this problem. This method finds the appropriate number of multi-processing subprocesses through the search space and accelerates the learning through the number of subprocesses. Furthermore, this method allows memory efficiency and speed-up by tuning the system-dependent parameter, the number of multi-process spawns.

• Proceedings of the KIEE Conference
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• 2008.04a
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• pp.73-74
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• 2008

In this study, we developed a robotic gait trainer which induces the active gait training based on predefined continuous proper lower extremity joint movements. AC servo motors and linear actuators were used to control hip and knee joints of patients and the weight support system was used to support the patient's weight during the gait training. We also implemented a Gill program to set the gait training pattern with several training parameters and to confirm states of patients and the system through the visual feedback. The effectiveness of the gait training system will be determined by the long-term clinical experiments in the future. We expect that the developed robotic gait training system could be applied very practically to recover gait abilities for persons with gait disorder.

• Journal of Biomedical Engineering Research
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• v.30 no.2
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• pp.147-152
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• 2009

This study was conducted to observe the change of limbs stroke and respiration gas parameters in our new bicycle fitness system. We hypothesized that the variable force of left and right limbs might be effective for sensing stimulation in modified new unequal pedal bicycle system. It has been developed, which can provide visual information and different length of pedal with left and right limbs. Experimental results showed different activities between the left and right limbs where the activity of the left limb increased than that of right limb. Especially, the soleous muscle activity increased both in control and experimental groups by this training method. But oxygen and carbon dioxide partial pressures in respiratory gas increased during training method. These results suggest that acidosis of blood was led by this process. Consequently, this bicycle training is concluded that aerobic training could affect different limb activities. Finally, we expect that our new bicycle system will be effective for healthcare with proper balance between the left and right limbs.

• Journal of the Korean Society for Precision Engineering
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• v.22 no.8 s.173
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• pp.192-198
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• 2005

In this paper, we propose a new training system for the improvement of equilibrium sense using unstable platform. The equilibrium sense, which provides orientation with respect to gravity, is important to integrate the vision, somatosensory and vestibular function to maintain the equilibrium sense of the human body. In order to improve the equilibrium sense, we developed the software program such as a block game, pingpong game using Visual C++. These training system for the equilibrium sense consists of unstable platform, computer interface and software program. The unstable platform was a simple structure of elliptical-type which included tilt sensor, wireless RF module and the device of power supply. To evaluate the effect of balance training, we measured and evaluated the parameters as the moving time to the target, duration to maintain cursor in the target of screen and the error between sine curve and acquired data. As a results, the moving time to the target and duration to maintain cursor in the target was improved through the repeating training of equilibrium sense. It was concluded that this system was reliable in the evaluation of equilibrium sense. This system might be applied to clinical use as an effective balance training system.