• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.3 no.1
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• pp.29-42
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• 1997

The theory of plyometric exercise was introduced by Soviet Jump Coach Yuri Verhoshanski in 1967. Plyo comes from the Greek word pleythein, which means to increase. Plyo is the Greek word for "more", while metric means "to measure". The practical definition of plyometrics is a quick powerful movement involving a prestretching or countermovement that activates the stretch-shortening cycle. The purpose of plyometric training is to heighten the excitability of the nervous system for improved reactive ability of the neuromuscular system. The success of plyometric exercise is based on the utilization of the serial elastic properties and stretch-reflex properties of the muscle.

• Proceedings of the KIEE Conference
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• 1993.07a
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• pp.238-240
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• 1993

In this paper, back-propagation neural network is used to implement a controller for electric furnace. Although the dynamics of furnace is nonlinear and time-delayed and depends on the environment, the time constant is relatively large so that manual control based on human expert can have good performance. The input-output data of the manual controller are collooted and used as training data for neurocontroller. From simulation. we find that the neurocontroller has better performances than the conventional controller.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.54 no.7
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• pp.323-327
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• 2005

This paper presents an operator training simulator for power system restoration against massive black-out. The system is designed especially focused on the generality and convenient setting up for initial condition of simulation. The former is accomplished by using power flow calculation methodology, and PSS/E data is used to define the initial situation. The proposed simulator consists of three major components - the power flow(PF) module, data conversion(COW) module and GU subsystem. PF module calculates power flow, and then checks overvoltage of buses and overflow of lines. COW module composes an Y-Bus array and a data base at each restoration action. The initial Y-Bus array is constructed from PSS/E data. The user friendly GUI subsystem is developed including graphic editor and built-in operation manual. As a result, the maximum processing time for one step operation is 15 seconds, which is adequate for training purpose. Comparison with PSS/E simulation proves the accuracy and reliability of the training system.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.9
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• pp.18-23
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• 2006

This paper presents an operator training simulator for power system restoration against massive blackout. The system is designed especially focused on the generality and convenient setting up for initial condition of simulation. The former is accomplished by using power flow calculation methodology, and PSS/E data is used to set up the initial state for easy setting. The proposed simulator consists of three major components-a power flow(PF), a data conversion(CONV), and, a GUI module. The PF module calculates power flow, and then checks over-voltages of buses and overloads of lines. The CONV module composes a Y-Bus array and a database at each restoration action. The initial Y-Bus array is composed from PSS/E data. A user friendly GUI module is developed including a graphic editor and a built-in operation manual. The maximum processing time for one step operation is 15 seconds, which is adequate for training purpose.

• Physical Therapy Korea
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• v.12 no.1
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• pp.91-99
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• 2005

We assessed whether the use of a symmetrical upper limb motion trainer in daily repetitive training for a 6-week period reduced spasticity and improved motor function in three chronic hemiparetic patients. Upper limb motor impairment and disability were measured by the Fugl-Meyer Assessment (FMA), Modified Ashworth Scale (MAS) and Manual Muscle Test (MMT), respectively. The electromyography (EMG) of the affected hand was recorded during isometric wrist flexion and extension. In all patients, FMA and MMT scores were significantly improved after the 6-week training. However, MAS scores of the affected wrist spasticity did not change considerably. Onset and Offset delays in muscle contraction significantly decreased in the affected wrist. The co-contraction ratio of flexor and extensor muscles significantly increased after the 6-week training. Onset and offset delays of the muscle contraction and co-contraction ratio correlated significantly with the patients' FMA. This study showed that repetitive, symmetric movement training can improve upper limb motor functions and abilities in chronic hemiparetic patients. Also, the EMG assessment of motor response is likely to provide insights into mechanisms and treatment strategies for motor recovery in chronic hemiparetic patients.

• Journal of the Society of Disaster Information
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• v.11 no.3
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• pp.337-345
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• 2015

As the modern society becoms industry acceleration and urbanization, disaster and safetry education becoms important to educate and exercise the people for the disaster response and safety. This study suggests safety management method by simulation training and an attitude survey. The researchers of the study suggest as followers: First must be about strengthening eduation that accords to responsibility and part. The second need about manual build and simulation training for expansion disaster and crisis management. The last must be consideration to reconstitute of organization which of be not up to the disaster and crisis management.

• Physical Therapy Rehabilitation Science
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• v.10 no.3
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• pp.328-336
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• 2021

Objective: The purpose of this study was to investigate the effect of cervical range of motion training on the change in respiratory function growth rate at the group and individual level in stroke patients and stroke patients with tracheostomy tube. Design: A Multilevel Growth Model Methods: 8 general stroke patients and 6 stroke patients who had a tracheostomy tube inserted were subjected to cervical range of motion training 3 times a week for 4 weeks. Force vital capacity (FVC), Forced expiratory volume in the first second (FEV1), Forced expiration ratio (FEV1/FVC) and Manual assist peak cough flow (MPCF) were measured. Data were analyzed using descriptive statistics and multilevel analysis with HLM 8.0. Results: A significant difference was found in the respiratory function analysis growth rate of the entire group (p<0.05), and two groups were added to the research model. The linear growth rate of respiratory function in patients with general stroke increased with the exception of FEV1/FVC (p<0.05). Stroke patients with tracheostomy tube showed a decreasing pattern except for FVC. In particular, MPCF showed a significantly decreased result (p<0.05). Conclusions: This study found that the maintenance of improved respiratory function in stroke patients with tracheostomy tube decreased over time. However, cervical range of motion training is still a useful method for respiratory function in general stroke patients and stroke patients with tracheostomy tube.

• Journal of Information Processing Systems
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• v.20 no.2
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• pp.149-158
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• 2024

Traditional manual identification of crop leaf diseases is challenging. Owing to the limitations in manpower and resources, it is challenging to explore crop diseases on a large scale. The emergence of artificial intelligence technologies, particularly the extensive application of deep learning technologies, is expected to overcome these challenges and greatly improve the accuracy and efficiency of crop disease identification. Crop leaf disease identification models have been designed and trained using large-scale training data, enabling them to predict different categories of diseases from unlabeled crop leaves. However, these models, which possess strong feature representation capabilities, require substantial training data, and there is often a shortage of such datasets in practical farming scenarios. To address this issue and improve the feature learning abilities of models, this study proposes a deep transfer learning adaptation strategy. The novel proposed method aims to transfer the weights and parameters from pre-trained models in similar large-scale training datasets, such as ImageNet. ImageNet pre-trained weights are adopted and fine-tuned with the features of crop leaf diseases to improve prediction ability. In this study, we collected 16,060 crop leaf disease images, spanning 12 categories, for training. The experimental results demonstrate that an impressive accuracy of 98% is achieved using the proposed method on the transferred ResNet-50 model, thereby confirming the effectiveness of our transfer learning approach.

• Journal of KIISE:Software and Applications
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• v.34 no.9
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• pp.848-856
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• 2007

The curriculum for teacher ICT in-service training has several problems in terms of running and managing training content. The majority part of the program consist of teaming software application manual. Additionally, the program is not organized and some contents overlap. Furthermore teachers are not obliged to participate in training. Especially, it needs to be revised because it is many difference between revised ICT curriculum and 'ICT skill standard for teacher(ISST)'. This study investigates the current curriculum for teacher ICT in-service training, analyzes problems in running and managing training content, and suggests need for revising the curriculum for teacher ICT in-service training.

• Journal of The Korean Society of Integrative Medicine
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• v.6 no.3
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• pp.59-71
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• 2018

Purpose : The purpose of this study was to compare the effects of ankle balance training on unstable and stable surfaces to discover on which surface the proprioception, balance and muscle strength of obese middle aged women improves more. Method : Thirty obese middle-aged women were randomly recruited and divided into two groups (training on an unstable surface, training on a stable surface). The subjects in each group participated in the training for six weeks, three times per week for 30 minutes each session. Proprioception was measured using Dualer IQ digital inclinometer; sway length (SL) and sway area (SA) of center of pressure, and limit of stability (LOS) were measured for balance; muscle strength before and after the training was measured using manual muscle testing. Results : There were significant improvements in the subscales of the proprioception, balance and muscle strength in those who participated in ankle balance training on the unstable surface, and in those who participated on the stable surface. However, before and after the intervention, there were no differences between those who had the balance traning on the unstable surface and those who had the balance traning on the stable surface. Conclusion : Unstable and stable surface ankle balance training are both effective in improving the proprioception, balance and muscle strength of obese middle-aged woman.