• The Journal of Korean Physical Therapy
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• v.23 no.5
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• pp.65-72
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• 2011

Purpose: The intention of this study was to investigate the effects of modified constraint-induced movement therapy (mCIMT) with bilateral arm training (BAT) on the motor performance and daily activity performance of individuals with chronic hemiparetic stroke. Methods: Sixteen subjects one year after stroke participated in this study with a control group; the pretest-posttest method was used. The subjects were randomly allocated into two groups: combination of bilateral arm training and modified constraint-induced movement therapy (n=8), and modified constraint-induced movement therapy (n=8). The mCIMT group received therapy for 90 minutes in 3 sessions per week over a period of 4 weeks. The patients receiving a combination of mCIMT and BAT were treated for the same period and frequency. The results were evaluated using the Fugl-Meyer Assessment, Action Research Arm Test (ARAT), and Motor Activity Log-Amount of Use, and Quality of Movement (MAL-AOU, QOM) assessment tools. Results: The Fugl-Meyer Assessment showed that hand and wrist performance improved significantly more in the mCIMT group than in the Combination group (p<0.05). Result from the ARAT assessment showed greater scores for gross movement in the combined group than in the mCIMT group (p<0.05). The MAL-AOU showed that there was greater improvement in the combined group than in the mCIMT group (p<0.05). Conclusion: The forced use of the more affected side can be important for the enhancement of upper extremity performance for chronic hemiparetic stroke patients during their daily activities.

• Journal of Korea Water Resources Association
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• v.54 no.10
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• pp.795-805
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• 2021

In this study, after developing an LSTM-based deep learning model for estimating daily runoff in the Soyang River Dam basin, the accuracy of the model for various combinations of model structure and input data was investigated. A model was built based on the database consisting of average daily precipitation, average daily temperature, average daily wind speed (input up to here), and daily average flow rate (output) during the first 12 years (1997.1.1-2008.12.31). The Nash-Sutcliffe Model Efficiency Coefficient (NSE) and RMSE were examined for validation using the flow discharge data of the later 12 years (2009.1.1-2020.12.31). The combination that showed the highest accuracy was the case in which all possible input data (12 years of daily precipitation, weather temperature, wind speed) were used on the LSTM model structure with 64 hidden units. The NSE and RMSE of the verification period were 0.862 and 76.8 m³/s, respectively. When the number of hidden units of LSTM exceeds 500, the performance degradation of the model due to overfitting begins to appear, and when the number of hidden units exceeds 1000, the overfitting problem becomes prominent. A model with very high performance (NSE=0.8~0.84) could be obtained when only 12 years of daily precipitation was used for model training. A model with reasonably high performance (NSE=0.63-0.85) when only one year of input data was used for model training. In particular, an accurate model (NSE=0.85) could be obtained if the one year of training data contains a wide magnitude of flow events such as extreme flow and droughts as well as normal events. If the training data includes both the normal and extreme flow rates, input data that is longer than 5 years did not significantly improve the model performance.

• Journal of The Korean Society of Integrative Medicine
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• v.3 no.4
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• pp.37-42
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• 2015

Purpose: This study was conducted to test the impact of The Dynamic Visual-Motor integration training has effect on the visual perception reaction velocity. Dynavision were used to measure data from the participating 24 students(K college). Method : The participants were the 24 students of 'K' College in Busan in there twenties. They were divided into the The Dynamic Visual-Motor integration training group and the control group. To know if the Dynamic Visual-Motor integration training has effect on the visual perception reaction velocity, the Dynamic Visual-Motor integration training was implemented triweekly for 4 weeks. In Dynamic Visual-Motor integration training the ball should be grasped with one hand and threw by an arm. Only the balls threw beyond the objective point were counted. The visual perception reaction velocity and the number of response were measured before and after experiment by Dynavision. Result : Firstly, the visual perception reaction velocity was increased in Dynamic Visual-Motor integration training group compared with control group. Secondly, the number of response was also increased in Dynamic Visual-Motor integration training group compared with control group. Conclusion : As a result of The Dynamic Visual-Motor integration training has an effect on the visual perception reaction velocity and the number of response. The Dynamic Visual-Motor integration training seems to be effective for cerebral apoplexy patient who has visual perceptional disability or cerebral palsy child in training for visual perceptional development or daily living activities development. Study participated by more detailed and practical patients in hospital is needed.

• The Journal of Korean Physical Therapy
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• v.34 no.4
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• pp.161-167
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• 2022

Purpose: The purpose of this study was to investigate the effects of regular training on the uneven surface that stroke patients encounter in their daily life on their ankle joint muscle activity and balance ability. They were divided into two groups: the gait training group on uneven surfaces and the gait training group on normal surfaces. Methods: In this study, 30 patients diagnosed with stroke and undergoing rehabilitation were selected. 15 people in the uneven surface gait training group and 15 people in the flat gait training group were selected. The muscle activation of the ankle muscles was measured when walking again on a even surface after walking on an uneven surface and on a flat ground. After each gait training, the limit of stability and Romberg test were performed to evaluate the balance ability. Results: As a result of the experimental results before and after walking by group, the tibialis anterior muscle activity of the paralyzed side was significantly decreased in the uneven surface walking group. As a result of measuring balance ability after training, the limit of stability in all directions was significantly increased in the uneven surface gait training group, and the area and length moved significantly decreased in the uneven surface gait training group in the Romberg test as well (p<0.05). Conclusion: After walking on uneven surface, it was confirmed that the muscle activity of the ankle joint decreased in normal flat walking, and thus the efficiency of muscle activity was increased. In addition, it was possible to confirm the improvement of the balance ability of the gait training on the uneven surface, and in conclusion, it could be confirmed that it had an effect on the improvement of the walking ability.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.349-355
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• 2019

The virtual reality training has been suggested as an intervention to improve physical function. But, the effects of virtual reality training focused on improving ADL in patients with acute stroke are unclear. Purpose of this study was to examine the effect of virtual reality training on hand function and activities of daily living (ADL) in patients with acute stroke. Sixteen patients with acute stroke were included in this study. The experimental group (VRA group) received 30 minutes of virtual reality training focused on ADL for each session, while the control group received 30 minutes of conventional virtual reality training. To examine the hand function and ADL of the subjects, the study used Jebsen-Tylor Hand Function Test (JTHFT) and Korean Modified Barthel Index (K-MBI), respectively. Both groups showed significant improvements in hand function of affected and unaffected sides, and in K-MBI total score before and after the intervention. The experimental group showed significantly greater improvements in the self-care domain of K-MBI after intervention than the control group. These findings suggest that the virtual reality training focused on ADL may have a better effect on self-care than conventional virtual reality training in patients with acute stroke.

• The Journal of Korean Academy of Sensory Integration
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• v.4 no.1
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• pp.47-55
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• 2006

Objective : The purpose of this study was to evaluate the correlation between visual perception ability and activities of daily living(ADL) in the children with spastic diplegia who were treated at developmental disabilities children salutary institute. Method : The subject were consisted of 8 children with spastic diplegia(mean age, 10). The visual perception ability was measured by the Developmental Test of Visual Perception(DTVP) and by the Functional Independence Measure for Children(WeeFIM) to evaluate activities of daily living. Collected data analysis were completed by using correlation analysis. Results : Visual perception ability of children with spastic diplegia is the highest in Position in Space(PS) score, and is the lowest in Visual-Motor coordination(VM) score. Average visual perception performance of children with spastic diplegia is the highest in SR(Spatial relationship) score, and is the lowest in VM score. In activities of daily living, eating component were significantly correlated with Visual-Motor coordination. Conclusions : Therefore, accurate evaluation of visual perception ability and visual perception training for children with spastic diplegia will be important to improve patient's activities of daily living skill.

• Proceedings of the Korea Water Resources Association Conference
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• 2009.05a
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• pp.125-128
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• 2009

The research of climate change impact in hydrometeorology often relies on climate change information. In this paper, neural networks models such as generalized regression neural networks model (GRNNM) and multilayer perceptron neural networks model (MLP-NNM) are proposed statistical downscaling of the daily precipitation. The input nodes of neural networks models consist of the atmospheric meteorology and the atmospheric pressure data for 4 grid points including $127.5^{\circ}E/37.5^{\circ}N$, $127.5^{\circ}E/35^{\circ}N$, $125^{\circ}E/37.5^{\circ}N$ and $125^{\circ}E/35^{\circ}N$, respectively. The output node of neural networks models consist of the daily precipitation data for Seoul station. For the performances of the neural networks models, they are composed of training and test performances, respectively. From this research, we evaluate the impact of GRNNM and MLP-NNM performances for the downscaling of the daily precipitation data. We should, therefore, construct the credible daily precipitation data for Seoul station using statistical downscaling method. The proposed methods can be applied to future climate prediction/projection using the various climate change scenarios such as GCMs and RCMs.

• Journal of the Korea Institute of Building Construction
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• v.16 no.2
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• pp.177-183
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• 2016

The daily report includes the most detailed information and various daily planning and performance data recorded at a site, and includes work types, the number of workers, and the equipment and materials used. However, in the daily reporting process, some information can be omitted or distorted or even made redundant due to there being several steps of manual input. For this reason, the daily report is utilized for a simple report rather than for an appropriate purpose. Thus, to resolve the issues of the existing daily report system mentioned above, a daily report system using a digital pen was developed and then applied to an actual construction site to verify its applicability. As a result, it was found that 96.610% recognition accuracy of handwritten letters could be achieved. In addition, it was no longer necessary to enter the same information multiple times and no additional training or education for using a mobile device was needed. The digital pen-based daily report program developed in this study is expected to contribute to an improvement of information management efficiency and site document management work by addressing the problems of the existing report system.

• Journal of The Korean Society of Integrative Medicine
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• v.3 no.4
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• pp.11-21
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• 2015

Purpose : The purpose of this study was to provide the material about the treatment effect of hand function training and writing training being performed as a part of treatment to improve the function of the non-dominant hand of the patients whose dominant hand is damaged and thus need to improve their non-dominant hand's function. Method : During one month of November, 2013, this study randomly chose five study subjects for hand function training, five for writing training, and ten of control group from 20 normal male and female adults going to K Univ. in Busan. All study subjects fully understood all of the training course, agreed to take the test in this study, and volunteered to participate in the test. Each training was performed five times for two weeks, 30 minutes each time. For measurement, Purdue pegboard was used to look into the change of hand dexterity. To investigate an improvement in hand function through hand function training and writing training, this study conducted early evaluation before training, interim evaluation, and final evaluation. Result : First, according to the comparison of dominant hand dexterity by group and by method during a training period, the groups of hand function training and of writing training improved dominant hand dexterity more than the control group. Secondly, according to the comparison of non-dominant hand dexterity by group during a training period, the groups of hand function training and of writing training improved dexterity more than the control group. According to the comparison of non-dominant hand dexterity by method during a training period, there was no big difference in dexterity between the groups of hand function training and of writing training and the control group. But, the group of hand function training showed a further improvement. Thirdly, according to the comparison of both-hand dexterity by group and by method during a training period, the groups of hand function training and of writing training improved both-hand dexterity more than the control group. Fourthly, according to the comparison of both-hand handling ability by group and by method during a training period, the groups of hand function training and of writing training improved both-hand handling ability more than the control group. Conclusion : Given the study result, it is considered that hand function training and writing training help brain damaged patients improve their hand function for their daily activity. And it will be meaningful to research brain damaged patients' motor skills after their brain damage, and the patients who have low abilities of visual perception and cognition. In the future, it will be necessary to secure more study subjects and perform systematic training during a sufficient test period.

• Proceedings of the Korea Water Resources Association Conference
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• 2012.05a
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• pp.336-339
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• 2012

Accurate forecasting of pan evaporation (PE) is very important for monitoring, survey, and management of water resources. The purpose of this study is to develop and apply Kohonen self-organizing feature maps neural networks model (KSOFM-NNM) to forecast the daily PE for the dry climate region in south western Iran. KSOFM-NNM for Ahwaz station was used to forecast daily PE on the basis of temperature-based, radiation-based, and sunshine duration-based input combinations. The measurements at Ahwaz station in south western Iran, for the period of January 2002 - December 2008, were used for training, cross-validation and testing data of KSOFM-NNM. The results obtained by TEM 1 produced the best results among other combinations for Ahwaz station. Based on the comparisons, it was found that KSOFM-NNM can be employed successfully for forecasting the daily PE from the limited climatic data in south western Iran.