• Journal of the Korean Society of Physical Medicine
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• v.11 no.2
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• pp.83-91
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• 2016

PURPOSE: The purpose of this study was to determine the efficacy of dual-task action observation training (AOT) and single-task AOT related with daily living task on walking ability and ADL performance in chronic stroke patients. METHODS: Twenty-seven chronic stroke subjects were included in the study. They were randomly assigned to three task categorieds as follows: whole dual-task AOT or partial dual-task AOT or single-task AOT rehabilitation. Whole dual-task AOT observed the movement at once and partial dual-task AOT observed the movement divided into 4 parts related functional gait and activities of daily living task for 2 minutes 30 seconds. Single-task AOT observed the movement related functional gait for 2 minutes 30 seconds. Both groups had physical training session for 12 minutes 30 seconds. The study was conducted for four weeks, with three training sessions a week, for twelve weeks. All subjects were evaluated for their walking ability and activities of daily living through devices, 10m walking test (10MWT), dynamic gait index (DGI), and Korea-Modified Barthel Index (K-MBI). RESULTS: A significant improvement of walking ability and ADL performance happened among dual-task AOT subjects, compared with a single-task AOT subjects, during the 4-weeks course treatment. The results of the study showed statistically significant differences in 10MWT (p<0.05) and DGI (p<0.05), and K-MBI (p<0.05). CONCLUSION: Our results indicated that dual-task AOT has a positive additional impact on recovery of walking ability and ADL performance in chronic stroke patients.

• Journal of the Korean Society of Physical Medicine
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• v.12 no.1
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• pp.121-129
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• 2017

PURPOSE: This study was conducted to determine the effect of dual-task training (based on the International Classification of Functioning, Disability, and Health; ICF) on walking ability and self-efficacy in individuals with chronic stroke. METHODS: 22 chronic stroke patients participated in this study. Participants were randomly allocated into either the single-task group (n=11) or the dual-task group (n=11). Both groups had physical training three a week for 4 weeks, and at a three-week follow-up. Outcome measures included the 10m walking test (10MWT), figure of 8 walk test (F8WT), dynamic gait index (DGI), and Self-efficacy scale. All data were analyzed using SPSS 18.0 for Windows. Between-group and within-group comparison were analyzed by using the Mann-Whitney U test and Wilcoxon singed-rank test respectively. RESULTS: In the dual-task group, the 10MWT, time and steps of F8WT, DGI, and self-efficacy showed significant differences between pre- and post-test (p<.05). The Changes between the pre- and post-test values of 10MWT (p<.05), DGI (p<.05), and self-efficacy scale (p<.05) showed significant differences between the dual-task group and single-task group. CONCLUSION: Participants reported improved walking ability and self-efficacy, suggesting that dual-task training holds promise in the rehabilitation of walking in chronic stroke patients. This study showed that ICF-based on a dual-task protocol contiributes to motor learning after chronic stroke.

• Journal of the Korean Society of Physical Medicine
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• v.8 no.1
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• pp.1-9
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• 2013

PURPOSE: This study compared the effects of dual motor task training and simple task training on the balance of subacute stroke patients. METHODS: A total of 23 subacute stroke patients participated in the study. The subjects were allocated randomly to two groups: an experimental group and a control group. Both groups received conventional treatment for 50 minutes, 5 times per week for 6 weeks. In addition, the experimental group stacked blocks, moved catch cups, and moved rings while standing and gait. To evaluate the effects of the exercises, subjects were evaluated by using the balance system and the timed get up and go test(TUG) for balance measurement. The data was analyzed using a paired t-test and independent t-test to determine the statistical significance. RESULTS: The experimental group showed a significant decrease on the medial-lateral and anterior-posterior stability index compared to the control group (p<.05) for the simple task and a significant decrease on the medial-lateral and anterior-posterior stability index compared to the control group for the dual task. In addition, the experimental group showed a significant increase in TUG time compared to the control group (p<.05). CONCLUSION: These results support the perceived benefits of dual motor task training to augment the balance of subacute stroke patients. Therefore, dual motor task training is recommended for subacute stroke patients.

• PNF and Movement
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• v.17 no.3
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• pp.339-351
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• 2019

Purpose: This study identified the effects of dual-task gait training on balance, gait function, and activity of daily living in patients with Parkinson's disease. Methods: This study used a single-subject design. Two patients with Parkinson's disease participated in this study. Dual-task gait training was performed 1 hour per day 8 times during intervention phase. The subjects were measured 8 times in the baseline phase, 8 times in the intervention phase, and 8 times in the follow-up phase. The outcome measurements included a timed up and go test (TUG), a Berg balance scale (BBS), a 10 meter walk test (10MWT), a 6 minute walk test (6MWT), a dynamic gait index (DGI) and a Korean modified Barthel index (K-MBI). Results: When compared to the average of the baseline process, the data collected during the intervention period showed that the TUG and 10MWT results improved and the tendency line was above the baseline. In addition, BBS, 6MWT, DGI, and K-MBI values for both patients increased remarkably after the training. Conclusion: The results of this study revealed that dual-task gait training may be helpful to improve balance, walking function, and activity of daily living for patients with Parkinson's disease. Further studies need to confirm our findings.

• 한국사회정책
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• v.23 no.1
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• pp.151-178
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• 2016

This study aims to look at the current status of college graduate youth' participating in Individual Training Account System of Korea and analyze the effects of their participation experience on the labor market outcomes. To achieve this, this study used the data from 2012 Graduates Occupational Mobility Survey(GOMS) and for analysis, used both multiple regression analysis and binomial logistic regression analysis. As a result, it was found that the number of young people who had ever heard about the Individual Training Account System was 2,707 individuals (27.6%), and among them, the number of young people who had actually participated in the System was 695(25.7%). As a result of analyzing the effect of participation experience with the Individual Training Account System on the outcomes of labor market, it was found that participation experience had a positive and significant impact on whether they were employed and the form of employment (permanent position), whereas it did not have a positive impact on average monthly wage. Based on these results, this study drew implications for further studies and suggested policy tasks for improving the policy effectiveness of the Individual Training Account System.

• Journal of The Korean Society of Integrative Medicine
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• v.9 no.2
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• pp.23-33
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• 2021

Purpose : This study aimed to investigate the effects of dual-task training according to the variability of the walking environment on balance, gait, and function in patients with stroke. Methods : Twenty-five patients with stroke were randomly assigned to experimental group I (n=12) and experimental group II (n=13). Experimental group I and II performed obstacle and non-obstacle walking training, respectively, along with cognitive tasks for 21 minutes per session, 3 times a week for 6 weeks. Both groups received additional general physical therapy for 30 minutes per session. The functional reach test (FRT), gait analyzer (G-Walk), and functional independence measure (FIM) were used to evaluate balance, gait and function of pre- and post-interventions, respectively, while gait cadence, gait velocity, and stride length were evaluated using a gait analyzer. Results : In the within-group comparison of FRT, all the two groups showed significant post-intervention improvements (p<.05). In within-group comparison of gait cadence, all the two groups showed significant post-intervention improvements (p<.05). In within-group comparison of gait velocity, all the two groups showed significant post-intervention improvements (p<.05). In within-group comparison of stride length, experimental group I showed significant post-intervention improvements (p<.05), while experimental group II did not show significant post-intervention improvements (p>.05). In within-group comparison of FIM scores, experimental group I showed significant post-intervention improvements (p<.05), while experimental group II did not show significant post-intervention improvements (p>.05). There was a significant difference in the change of FIM scores pre- and post-intervention (p<.05) in the between-group comparison. Conclusion : The results of this study show that dual-task training with cognitive tasks and walking training can improve the balance, gait and function of patients with stroke, and obstacle walking training is effective for improving functions including activities of daily living compared to non-obstacle walking training.

• Journal of Korea Water Resources Association
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• v.55 no.10
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• pp.707-721
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• 2022

In this study, a state-of-the-art review on urban inundation simulation technology was presented summarizing major achievements and limitations, and future research recommendations and challenges. More than 160 papers published in major domestic academic journals since the 2000s were analyzed. After analyzing the core themes and contents of the papers, the status of technological development was reviewed according to simulation methodologies such as physically-based and data-driven approaches. In addition, research trends for application purposes and advances in overseas and related fields were analyzed. Since more than 60% of urban inundation research used Storm Water Management Model (SWMM), developing new modeling techniques for detailed physical processes of dual drainage was encouraged. Data-based approaches have become a new status quo in urban inundation modeling. However, given that hydrological extreme data is rare, balanced research development of data and physically-based approaches was recommended. Urban inundation analysis technology, actively combined with new technologies in other fields such as artificial intelligence, IoT, and metaverse, would require continuous support from society and holistic approaches to solve challenges from climate risk and reduce disaster damage.

• KIPS Transactions on Software and Data Engineering
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• v.8 no.10
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• pp.397-402
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• 2019

Accurately predicting cancer prognosis to provide appropriate treatment strategies for patients is one of the critical challenges in bioinformatics. Many researches have suggested machine learning models to predict patients' outcomes based on their gene expression data. Gene expression data is high-dimensional numerical data containing about 17,000 genes, so traditional researches used feature selection or dimensionality reduction approaches to elevate the performance of prognostic prediction models. These approaches, however, have an issue of making it difficult for the predictive models to grasp any biological interaction between the selected genes because feature selection and model training stages are performed independently. In this paper, we propose a novel two-dimensional image formatting approach for gene expression data to achieve feature selection and prognostic prediction effectively. Node2Vec is exploited to integrate biological interaction network and gene expression data and a convolutional neural network learns the integrated two-dimensional gene expression image data and predicts cancer prognosis. We evaluated our proposed model through double cross-validation and confirmed superior prognostic prediction accuracy to traditional machine learning models based on raw gene expression data. As our proposed approach is able to improve prediction models without loss of information caused by feature selection steps, we expect this will contribute to development of personalized medicine.

• The KIPS Transactions:PartD
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• v.14D no.1 s.111
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• pp.121-130
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• 2007

in a software development, the design or architecture prior to implementing the software is essential for the success. This paper presents a case that we successfully designed a software architecture of radiation monitoring system (RMS) for HANARO research reactor currently operating in KAERI by applying the quality attribute-driven design method which is modified from the attribute-driven design (ADD) introduced by Bass[1]. The quality attribute-driven design method consists of following procedures: eliciting functionality and quality requirements of system as architecture drivers, selecting tactics to satisfy the drivers, determining architectures based on the tactics, and implementing and validating the architectures. The availability, maintainability, and interchangeability were elicited as duality requirements, hot-standby dual servers and weak-coupled modulization were selected as tactics, and client-server structure and object-oriented data processing structure were determined at architectures for the RMS. The architecture was implemented using Adroit which is a commercial off-the-shelf software tool and was validated based on performing the function-oriented testing. We found that the design method in this paper is an efficient method for a project which has constraints such as low budget and short period of development time. The architecture will be reused for the development of other RMS in KAERI. Further works are necessary to quantitatively evaluate the architecture.