• Journal of Auto-vehicle Safety Association
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• v.7 no.3
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• pp.30-34
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• 2015

This study examined the Korean drivers' acceptance of SAS(Speed Assistance systems) and traffic sign conditions in Korea roads for SLIF(Speed Limit Information Function) that is a part of SAS. Exceeding the speed limit is a factor in the severity of many road accidents and SAS would help the driver to observe a speed limit by warning and/or effectively limiting the speed of the vehicle. SAS are in the initial phase in Korea, Korean drivers could not be familiar with automatical speed limiting during driving, SAS interface design would be considered to be more readily acceptable to the public. And advanced SAS have been introduced onto the market which are able to inform the driver of the current speed limit based on camera and/or digital maps based SLIF. These systems are based on external data using sensors, so environmental conditions are an important factor which could cause malfunction of SLIF functions.

• Transactions of the Korean Society for Noise and Vibration Engineering
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• v.24 no.1
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• pp.54-61
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• 2014

This paper proposes a driver supportive device with haptic cue function which can transmit optimal gear shifting timing to a driver without requiring the driver's visual attention. Its performance is evaluated under vehicle model considering automotive engine, transmission and vehicle body. In order to achieve this goal, a torque feedback device is devised and manufactured by adopting the MR (magnetorheological) fluid and clutch mechanism. The manufactured MR clutch is then integrated with the accelerator pedal to construct the proposed haptic cue device. A virtual vehicle emulating a four-cylinder four-stroke engine, manual transmission system of a passenger vehicle and vehicle body is constructed and communicated with the manufactured haptic cue device. Control performances including torque tracking and fuel efficiency are experimentally evaluated via a simple feed-forward control algorithm.

• Journal of The Korean Society of Integrative Medicine
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• v.7 no.1
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• pp.113-124
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• 2019

Purpose : The purpose of this study is to investigate the effect of strengthening program for improving the muscle strength and body function in rehabilitation of patients with stroke Methods : We found the 15 precedent studies at online portal site of "Korea education and Research information service" and found 5 precedent studies at "Pubmed". We analyzed and describe the total 19 studies involving national and international research. Results : The strengthening exercise was adapted to lower extremities and trunk muscle of participants and the isokinetic (concentric and eccentric) exercise was most of exercise type and then manual isometric exercise, functional activities, progressive task oriented resistance exercise, PNF pattern exercise was following. The studies reported that the strengthening program increased target muscle strength and improved balance capacity and walking function for the participants positively. Conclusion : Conclusionally the several strengthening program can be the intervention to increase the muscle strength without increasing spasticity for patients with stroke. We think that the strengthening of lower extremities an improve balance capacity and walking ability and it can use the intervention to change the quality of life in patients with stroke. More than 3weeks strength program might be effectiveness, in case of acute patients with stroke, the improving of muscle strength is available but need to study for improving balance and walking capacity more in the future.

• Journal of The Korean Society of Integrative Medicine
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• v.7 no.2
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• pp.69-76
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• 2019

Purpose : This study examined the effects of a virtual reality rehabilitation program on stroke patients' upper extremity functions and activities of daily living (ADL). Methods : The subjects were equally and randomly divided into an experimental group (n=16) to whom a virtual reality rehabilitation program was applied and a control group (n=16) who received traditional occupational therapy. The intervention was applied five times per week, 30 minutes per each time, for six weeks. Jebsen-Taylor hand function test was conducted and the subjects' Manual Function Test was measured to examine their upper extremity functions before and after the treatment intervention, and a Korean version of modified Barthel index was calculated to look at their activities of daily living. Results : After the intervention, the upper extremity functions and activities of daily living of the participants in both groups significantly improved (p<.05). However, the improvements in these parameters among the participants in the virtual reality rehabilitation program were significantly greater than those in the control group (p>.05). Conclusion : The virtual reality rehabilitation program is a stable and reliable intervention method for enhancing the upper limb functions and activities of daily living of stroke patients.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.10
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• pp.2788-2808
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• 2023

Brain tumors are one of the most threatening malignancies for humans. Misdiagnosis of brain tumors can result in false medical intervention, which ultimately reduces a patient's chance of survival. Manual identification and segmentation of brain tumors from Magnetic Resonance Imaging (MRI) scans can be difficult and error-prone because of the great range of tumor tissues that exist in various individuals and the similarity of normal tissues. To overcome this limitation, the Amended Convolutional Neural Network (ACNN) model has been introduced, a unique combination of three techniques that have not been previously explored for brain tumor detection. The three techniques integrated into the ACNN model are image tissue preprocessing using the Kalman Bucy Smoothing Filter to remove noisy pixels from the input, image tissue segmentation using the Isotonic Regressive Image Tissue Segmentation Process, and feature extraction using the Marr Wavelet Transformation. The extracted features are compared with the testing features using a sigmoid activation function in the output layer. The experimental findings show that the suggested model outperforms existing techniques concerning accuracy, precision, sensitivity, dice score, Jaccard index, specificity, Positive Predictive Value, Hausdorff distance, recall, and F1 score. The proposed ACNN model achieved a maximum accuracy of 98.8%, which is higher than other existing models, according to the experimental results.

• Journal of Information Processing Systems
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• v.19 no.5
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• pp.614-630
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• 2023

Dead trees significantly impact forest production and the ecological environment and pose constraints to the sustainable development of forests. A lightweight YOLOv4 dead tree detection algorithm based on unmanned aerial vehicle images is proposed to address current limitations in dead tree detection that rely mainly on inefficient, unsafe and easy-to-miss manual inspections. An improved logarithmic transformation method was developed in data pre-processing to display tree features in the shadows. For the model structure, the original CSPDarkNet-53 backbone feature extraction network was replaced by MobileNetV3. Some of the standard convolutional blocks in the original extraction network were replaced by depthwise separable convolution blocks. The new ReLU6 activation function replaced the original LeakyReLU activation function to make the network more robust for low-precision computations. The K-means++ clustering method was also integrated to generate anchor boxes that are more suitable for the dataset. The experimental results show that the improved algorithm achieved an accuracy of 97.33%, higher than other methods. The detection speed of the proposed approach is higher than that of YOLOv4, improving the efficiency and accuracy of the detection process.

• Journal of Cerebrovascular and Endovascular Neurosurgery
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• v.25 no.3
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• pp.316-321
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• 2023

Developmental venous anomalies (DVAs) are composed of mature venous vessels that lack malformed or neoplastic elements. Although the hemorrhage risk is considered negligible, some patients may have neurological symptoms attributable to acute infarction or intracranial hemorrhage secondary to thrombosis, in the absence of a coexisting cavernous malformation. We report the case of a 42-year-old patient who presented with acute left-hand paresis secondary to a subcortical hemorrhage. This bleeding originated from a DVA in the corticospinal tract area and was surgically drained through an awake craniotomy. To accomplish this, we used a trans-precentral sulcus approach. After the complete removal of the coagulum, small venous channels appeared, which were coagulated. No associated cavernoma was found. Although the main DVA trunk was left patent, no signs of ischemia or venous infarction were observed after coagulating the small venous channels found inside the hematoma cavity. Two weeks after the procedure, the patient's hand function improved, and he was able to resume desktop work. DVA-associated hemorrhage within the cortico-spinal tract could be safely removed with modern awake mapping techniques. This technique allowed the patient to rapidly improve his hand function.

• Physical Therapy Rehabilitation Science
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• v.8 no.4
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• pp.187-193
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• 2019

Objective: The aim of this preliminary study was to investigate the effects of virtual reality combined with balance training on upper limb function, balance, and activities of daily living (ADL) in persons with acute stroke. Design: Randomized controlled trial. Methods: Fourteen acute stroke survivors were recruited and randomly assigned into two groups: the experimental group (n=7) and the control group (n=7). Both groups performed the conventional rehabilitation therapy for 30 minutes a day, 5 times a week, for 4 weeks. Additionally, the experimental group conducted the virtual reality training for 30 minutes on an unstable surface during each session, whereas the control group performed balance training for 30 minutes on a stable surface. All measurements were performed before and one day after intervention. Upper limb function, balance, and ADL were assessed using the Manual Function Test (MFT), the Berg Balance Scale (BBS), and the Korean version of the Modified Barthel Index (K-MBI), respectively. Results: Both groups showed significant improvements in MFT, BBS, K-MBI after intervention (p<0.05). There were no significant differences between the experimental and control groups with respect to MFT, BBS, and K-MBI after intervention. The experimental group showed a greater decrease in fall risk (BBS<45) after intervention than the control group (p<0.05). Conclusions: These findings suggest that virtual reality combined with balance training has a better effect on balance improvement than virtual reality training alone in persons with acute stroke.

• PNF and Movement
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• v.15 no.3
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• pp.267-279
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• 2017

Purpose: The aim of the investigation was to identify the effects of purposeful activities combined with music on upper extremity function, motivation, and mood in acute stroke patients. Methods: For the study, 19 acute stroke inpatients were recruited at a general hospital in Korea. The patients were allocated between an experimental group (n=9) and a control group (n=10). The experimental group performed purposeful activities with their preferred music, and the control group carried out purposeful activities without music. The 2 groups received the treatments 30 min per day, 5 days per week, for 4 weeks. Measurements were taken before and after intervention, including a manual function test (MFT) for measuring upper extremity function, a volitional questionnaire (VQ) for assessing motivation, and the Beck depression inventory (BDI) and Beck anxiety inventory (BAI) for assessing mood. Results: In post-treatment measurement, both groups showed greater MFT, VQ, and BDI scores than in pre-treatment. Significantly greater VQ and BDI changes were represented in the experimental group as compared to the control group. Conclusion: Based on the findings of this study, purposeful activities combined with music have a positive effect on motivation and depression in acute stroke patients.

• Physical Therapy Rehabilitation Science
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• v.9 no.3
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• pp.131-139
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• 2020

Objective: The purpose of this study was to evaluate the effect of virtual reality (VR)-based core stabilization exercise on upper extremity function, postural control, and depression among persons with stroke with hemiplegia. Design: Randomized controlled trial. Methods: This study was conducted with the inclusion of 24 participants and were randomly assigned to either the VR-based trunk stability exercise group (n=12) or control group (n=12). The VR-based trunk stability exercise group performed core stabilization exercises in a VR environment for 30 minutes. Meanwhile, the control group conducted general core stabilization exercises for 30 minutes. The participants trained 3 times a week for 4 weeks. The manual functional test (MFT), Box and Block Test (BBT), Berg Balance Scale (BBS), Trunk Impairment Scale (TIS), the Geriatric Depression Scale (GDS) were used to assess all participants before and after the intervention. Results: The VR-based core stabilization exercise group had a significant improvement in upper extremity function (MFT, BBT) and postural control (BBS) compared with the control group (p<0.05). The VR-based core stabilization exercise showed a significant difference after intervention in the TIS and GDS scores (p<0.05), but they did not significantly differ between the two groups. Conclusions: The result showed that VR-based core stabilization exercise can be effective in improving upper extremity function and postural control among patients with stroke more than the sole application of general physical therapy.