• Physical Therapy Rehabilitation Science
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• v.11 no.2
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• pp.245-252
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• 2022

Objective: This study aimed to investigate the abdominal muscle activity difference while performing the abdominal bracing technique focusing on inspiration (abdominal bracing group), the general abdominal bracing technique (general bracing group), and the abdominal hollowing technique (abdominal hallowing group) Design: A cross-sectional study design. Methods: Thirty-three healthy participants were recruited for this study. The participants were allocated to 3 different groups; Abdominal bracing group, general bracing group, and abdominal hallowing group. The surface electromyography was placed over the rectus abdominis, external oblique, and internal oblique muscles to collect the activation of abdominal muscles during the trial. Results: The muscle activity of the abdominal bracing group and general bracing groups was significantly higher in all abdominal muscles than in the abdominal hollowing group (p<0.05) Both rectus abdominis and external oblique muscles showed higher muscle activations in the abdominal bracing group over the general bracing group (p<0.05). However, the ratio of bilateral external obliques and rectus abdominis to bilateral internal obliques was highest when the hollowing technique was applied (p<0.05). Conclusions: The results of study showed the abdominal bracing technique that emphasized inhalation rather than the abdominal hollowing technique or general abdominal bracing technique increased the activity of the abdominal muscles. Therefore, this study is considered to be a data for effective training if the abdominal bracing technique that emphasizes inhalation is applied as a method to increase the activation of the abdominal muscles.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.1009-1017
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• 2022

Log data has been used as a basis in understanding and deciding the main functions and state of information systems. It has also been used as an important input for the various applications in cybersecurity. It is an essential part to get necessary information from log data, to make a decision with the information, and to take a suitable countermeasure according to the information for protecting and operating systems in stability and reliability, but due to the explosive increase of various types and amounts of log, it is quite challenging to effectively and efficiently deal with the problem using existing tools. Therefore, this study has suggested a multiclass classification of the security severity level of multi-source event log using machine learning based on natural language processing. The experimental results with the training and test samples of 472,972 show that our approach has archived the accuracy of 99.59%.

• Korean Journal of Applied Biomechanics
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• v.32 no.4
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• pp.128-133
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• 2022

Objective: This study was executed to compare and analyze shoulder muscle activation while using an inelastic bar and elastic bar during overhead press exercise. The stability and coordination of shoulder joints will be investigated by measuring and analyzing the EMG of the upper and lower arm muscles. Method: A total of 20 university male students were recruited by dividing into 2 groups; 10 elastic bar participants (age: 20.17 ± 0.41 yrs, height: 174.31 ± 3.34 cm, weight: 74.68 ± 5.65 kg) and 10 inelastic bar participants (age: 20.09 ± 0.23 yrs, height: 173.53 ± 4.11 cm, weight: 75.32 ± 3.31 kg) participated in this study. Results: The EMG analysis results of the four muscles measured in this study showed that there was no difference between the left and right muscles between the groups in Upper Trapezius muscle. In Deltoid, Infraspinatus, and Rectus Abdominis muscles, the elastic bar group was significantly higher than the inelastic bar group between groups, and there was no difference between left and right. Conclusion: Among the four muscles measured in this study, there was no difference between left and right in Deltoid, Infraspinatus, and Rectus Abdominis, but the elastic bar showed significantly higher muscle activity than the inelastic bar. Therefore, it was found that the elastic bar increases muscle activation during exercise than the inelastic bar, and in particular, it further increases muscle activation of the arms and torso, and exercise using the elastic bar can increase neuromuscular stabilization.

• Smart Structures and Systems
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• v.29 no.1
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• pp.17-28
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• 2022

The cable component of cable-stayed bridges is gradually impacted by weather conditions, vehicle loads, and material corrosion. The stayed cable is a critical load-carrying part that closely affects the operational stability of a cable-stayed bridge. Damaged cables might lead to the bridge collapse due to their tension capacity reduction. Thus, it is necessary to develop structural health monitoring (SHM) techniques that accurately identify damaged cables. In this work, a combinational identification method of three efficient techniques, including statistical analysis, clustering, and neural network models, is proposed to detect the damaged cable in a cable-stayed bridge. The measured dataset from the bridge was initially preprocessed to remove the outlier channels. Then, the theory and application of each technique for damage detection were introduced. In general, the statistical approach extracts the parameters representing the damage within time series, and the clustering approach identifies the outliers from the data signals as damaged members, while the deep learning approach uses the nonlinear data dependencies in SHM for the training model. The performance of these approaches in classifying the damaged cable was assessed, and the combinational identification method was obtained using the voting ensemble. Finally, the combination method was compared with an existing outlier detection algorithm, support vector machines (SVM). The results demonstrate that the proposed method is robust and provides higher accuracy for the damaged cable detection in the cable-stayed bridge.

• Journal of People, Plants, and Environment
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• v.23 no.6
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• pp.683-694
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• 2020

Background and objective: Cancer is the number one cause of death in Korea, and it affects any part of the body regardless of gender and age. Forest healing is a treatment that maximizes the effect of treatment and improves the quality of life. This study aims to provide basic data for the development and implementation of differentiated forest healing programs for cancer patients based on the survey on their interest and needs for the programs. Methods: The subjects were those diagnosed with cancer from October 2018 to April 2019, and this study used 144 copies of the questionnaire retrieved. The sample size of this study (n = 144) was the appropriate size required by G-Power, and the collected responses were analyzed using SPSS 25.0. Results: In the frequency analysis on the interest in forest healing, 79.2% of the subjects had no experience participating in forest healing, but 87% were aware of it, and 82.6% showed the intention to participate in forest healing programs. This indicates that even though not many of them have experience participating in forest healing, they showed high interest and needs for participation. They preferred to participate in spring (29.9%) and fall (27.8%), in programs carried out for 1.5-2 hours in the morning on weekdays. Conclusion: This study has implications for the analysis on forest healing needs of cancer patients, and it is necessary to plan, develop, and implement differentiated forest healing programs that meet the needs of the cancer patients depending on their characteristics. There is also a need to plan forest healing program that can promote both psychological stability and physical health of cancer patients and verify and evaluate their effects based on specialized training of forest healing instructors.

• Journal of Society of Preventive Korean Medicine
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• v.27 no.2
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• pp.73-84
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• 2023

Objectives : We tried to propose the direction of Korean medicine education through the consideration of 'professionalism as a competency beyond knowledge-skill' that modern medicine should take and therefore the perspectives of the competency-based curriculum in Korean medicine education. Methods : Competency-based curriculum, professionalism education phase and competency at medical school, student demand survey, Korean medicine education Accreditation Standards, and related research articles were used. Results : Proposed development measures to cultivate students' professionalism in Korean medicine education are as follows. self-care and emotional stability programs, communications between patient and doctor and among the colleagues, career exploration programs based on global medical trends and government policy, standardized professional training programs, and the evaluation of teaching experiences and achievements. Conclusions : The main purpose of the reorganization of the competency-based curriculum should be for improving Korean medicine education. The contents of phase performance, process performance, and course performance should be carefully organized so that the core contents and spirit of traditional Korean medicine can be achieved. In modern medicine, education of professionalism has been used to cover the problems that arise from taking achievement goals only from a biomedical perspectives. Accordingly the education of professionalism is also important in Korean medicine education as the modern Korean medicine follows the aspect of modern medicine,

• PNF and Movement
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• v.21 no.1
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• pp.139-146
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• 2023

Purpose: The aim of this study is to provide basic information to create an efficient training program to improve shoulder stability and function in patients with injuries and in patients having undergone surgery of the supraspinatus and infraspinatus muscles, which have a relatively high incidence of injury in shoulder joint disease. Further, independent activities of the supraspinatus and infraspinatus muscles were investigated according to forearm rotation and the neutral and lateral rotation postures. Methods: The activities of the supraspinatus and infraspinatus muscles were measured using surface electromyography in 22 healthy adults in Busan, and isokinetic muscle strength measurement equipment was used to measure muscle strength during shoulder lateral rotation. The subjects performed lateral rotation of the shoulder in three different forearm postures (neutral, supine, prone) to measure shoulder muscle activity and lateral rotation strength. Results: The independent activity ratio (% Isolation) of the supraspinatus and infraspinatus muscles during lateral rotation of the shoulder joint demonstrated a significant difference (p<0.05) according to the change in forearm posture. Conclusion: The supraspinatus muscle showed independent activity ranging from highest to lowest in the order of pronation, neutral, and supination of the forearm, while the independent activity of the infraspinatus muscle ranged from highest to lowest in the order of neutral, supination, and pronation of the forearm. Therefore, the most active forearm positions for the supraspinatus and infraspinatus muscles are pronation and neutral, respectively.

• Journal of The Korean Society of Integrative Medicine
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• v.11 no.2
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• pp.207-219
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• 2023

Purpose : This study was conducted to investigate the changes in trunk movement and ground reaction during sit to stand motion using visual feedback. Methods : Fifteen adults (average age: 23.53±1.77 years) participated in this study. An infrared reflective marker was attached to the body each participant for motion analysis, and the participants performed sit to stand motion while wearing a hat attached with a laser pointer, which provided visual feedback. First, the sit to stand action was repeated thrice without obtaining any visual feedback, followed by a three minute break. Next, the laser pointers attached to hats were irradiated on a whiteboard, located at a distance of 5 m in front of the chairs, on which the participants sat; a baseline was set, and the participants performed stand up movements three times under this condition. A visual feedback was provided to the participants to prevent the laser pointers from crossing the set baseline. During each stand-up movement, the position of the reflective marker attached to the subject's body was recorded in real time using an infrared camera for motion analysis. The trunk movement and ground reaction force were extracted through recorded data and analyzed according to the presence or absence of visual feedback. Results : The results indicated that in the presence of a visual feedback during the sit-to-stand movements, the range of motion of the trunk and hip joints decreased, whereas that of the knee and ankle joints increased in the sagittal plane. The rotation angle of the trunk in the horizontal plane decreased. The left and right movement speed of the center of pressure increased, the pressing force decreased, and the forward and backward movement speed of the trunk decreased. Conclusion : The results suggest that the efficiency and stability of the stand up movement of a body increase when a visual feedback is provided.

• Structural Engineering and Mechanics
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• v.86 no.4
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• pp.487-501
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• 2023

Nanoparticles have lower size and larger specific surface area, good stability and less toxic and side effects. In recent years, with the development of nanotechnology, its application range has become wider and wider, especially in the field of biomedicine, which has received more and more attention. Bone defect repair materials with high strength, high elasticity and high tissue affinity can be prepared by nanotechnology. The purpose of this paper was to study how to analyze and study the composite materials for sports bone injury based on multifunctional nanomaterials, and described the electrospinning method. In this paper, nano-sized zirconia (ZrO₂) filled micro-sized hydroxyapatite (HAP) composites were prepared according to the mechanical properties of bone substitute materials in the process of human rehabilitation. Through material tensile and compression experiments, the performance parameters of ZrO₂/HAP composites with different mass fraction ratios were analyzed, the influence of filling ZrO₂ particles on the mechanical properties of HAP matrix materials was clarified, and the effect of ZrO₂ mass fraction on the mechanical properties of matrix materials was analyzed. From the analysis of the compressive elastic modulus, when the mass fraction of ZrO₂ was 15%, the compressive elastic modulus of the material was 1222 MPa, and when 45% was 1672 MPa. From the analysis of compression ratio stiffness, when the mass fraction of ZrO₂ was 15%, the compression ratio stiffness was 658.07 MPa·cm³/g, and when it was 45%, the compression ratio stiffness is 943.51MPa·cm³/g. It can be seen that by increasing the mass fraction of ZrO₂, the stiffness of the composite material can be effectively increased, and the ability of the material to resist deformation would be increased. Typically, the more stressed the bone substitute material, the greater the stiffness of the compression ratio. Different mass fractions of ZrO₂/HAP filling materials can be selected to meet the mechanical performance requirements of sports bone injury, and it can also provide a reference for the selection of bone substitute materials for different patients.

• Proceedings of the Korea Water Resources Association Conference
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• 2021.06a
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• pp.131-131
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• 2021

Deep learning models, especially those based on long short-term memory (LSTM), have presented their superiority in addressing time series data issues recently. This study aims to comprehensively evaluate the performance of deep learning models that belong to the supervised learning category in streamflow prediction. Therefore, six deep learning models-standard LSTM, standard gated recurrent unit (GRU), stacked LSTM, bidirectional LSTM (BiLSTM), feed-forward neural network (FFNN), and convolutional neural network (CNN) models-were of interest in this study. The Red River system, one of the largest river basins in Vietnam, was adopted as a case study. In addition, deep learning models were designed to forecast flowrate for one- and two-day ahead at Son Tay hydrological station on the Red River using a series of observed flowrate data at seven hydrological stations on three major river branches of the Red River system-Thao River, Da River, and Lo River-as the input data for training, validation, and testing. The comparison results have indicated that the four LSTM-based models exhibit significantly better performance and maintain stability than the FFNN and CNN models. Moreover, LSTM-based models may reach impressive predictions even in the presence of upstream reservoirs and dams. In the case of the stacked LSTM and BiLSTM models, the complexity of these models is not accompanied by performance improvement because their respective performance is not higher than the two standard models (LSTM and GRU). As a result, we realized that in the context of hydrological forecasting problems, simple architectural models such as LSTM and GRU (with one hidden layer) are sufficient to produce highly reliable forecasts while minimizing computation time because of the sequential data nature.