• Computers and Concrete
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• v.28 no.6
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• pp.533-547
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• 2021

Calculating the shear capacity of slender reinforced concrete beams without shear reinforcement was the subject of numerous studies, where the eternal problem of developing a single relationship that will be able to predict the expected shear capacity is still present. Using experimental results to extrapolate formulae was so far the main approach for solving this problem, whereas in the last two decades different research studies attempted to use artificial intelligence algorithms and available data sets of experimentally tested beams to develop new models that would demonstrate improved prediction capabilities. Given the limited number of available experimental databases, these studies were numerically restrained, unable to holistically address this problem. In this manuscript, a new approach is proposed where a numerically generated database is used to train machine-learning algorithms and develop an improved model for predicting the shear capacity of slender concrete beams reinforced only with longitudinal rebars. Finally, the proposed predictive model was validated through the use of an available ACI database that was developed by using experimental results on physical reinforced concrete beam specimens without shear and compressive reinforcement. For the first time, a numerically generated database was used to train a model for computing the shear capacity of slender concrete beams without stirrups and was found to have improved predictive abilities compared to the corresponding ACI equations. According to the analysis performed in this research work, it is deemed necessary to further enrich the current numerically generated database with additional data to further improve the dataset used for training and extrapolation. Finally, future research work foresees the study of beams with stirrups and deep beams for the development of improved predictive models.

• Journal of the Korea Convergence Society
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• v.13 no.5
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• pp.307-312
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• 2022

The purpose of this study was to investigate the effects of wearing functional clothing over calf muscles on the muscle function of the calf and to verify whether functional clothing can increase calf muscle function. The participants of the study were 21 male students from University B who had no lower extremity abnormality. The measurement method was measured at 30°/sec and 120°/sec angle speed before and after wearing functional clothing on the right and left calves using Humac Norm of CSMI, a constant speed muscle function measuring instrument. No significant difference was observed during dorsiflexion when wearing functional clothing, but in plantar flexion, muscle strength and muscle endurance were significantly increased. Therefore, wearing functional clothing over the calves showed a positive effect on improving exercise function, and future research suggests a study comparing the degree of muscle function improvement between those wearing functional clothing and those not wearing it for athletes training ahead of the competition.

• Journal of muscle and joint health
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• v.16 no.1
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• pp.55-65
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• 2009

Purpose: The purpose of this study was to determine the effects of water exercise program on physical fitness, pain and quality of life(QoL) in patients with osteoarthritis. Methods: Thirty-four old women were divided into the exercise(EG, n=18) and control groups(CG, n=16) after 6-week self-help education program. The EG carried out 6-week supervised water exercise program(60min/day, 2days/wk). Physical fitness, pain, and QoL were assessed by Senior Fitness Test Manual(Rikli & Jones, 2005), Pain rating scale(0-10) and World Health Organization QoL BREF(Min et al., 2000), respectively. Results: Both EG and CG increased upper and lower-body strength(all, p<.05), which were measured by arm curl and chair stand, respectively. For flexibility test, the EG increased upper and lower body(all, p<.05). Balance of the EG increased(p<.05), but not in the CG. Pain significantly decreased in the EG post training(p=.000). However, both EG and CG did not significantly improve for QoL. Conclusion: Six weeks of water exercise program did induce significant improvement in physical fitness and pain control in patients with osteoarthritis.

• International journal of advanced smart convergence
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• v.12 no.1
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• pp.184-192
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• 2023

The purpose of this study was to compare and analyze the body composition, muscle circumference, and muscle activity of men in their 30s and 50s when the resistance exercise program was applied for 12 weeks, and to provide basic data for the preparation of the resistance exercise program for middle-aged men before entering old age. Nine men in their 30s and eleven 11 men in their 50s participated in the moderate intensity resistance exercise program for 12 weeks. Two weeks before the experiment, body composition, muscle circumference, and EMG were pre-tested, and then body composition and muscle circumference were additionally measured at the 8th week. Body composition, muscle circumference, and EMG were measured within 2 weeks after the 12 week exercise program. The measured data were compared and analyzed by Mixed design two-way ANOVA, and the following results were obtained. The body composition showed a significant difference only in the skeletal muscle mass, and it increased in the 30s group at 8 weeks. Muscle circumference did not show significant difference according to group and time. Muscle activity showed a significant difference according to group and time, and pectoralis major and triceps brachii showed a significant decrease to 30s group. The pectoralis major was higher in the 30s group at all times. In summary, when applying a 12-week resistance exercise program for young men and middle-aged men, the effect of improving muscle strength may appear similar, but they are not consistent, and it is thought that gradual changes in training variables are needed to improve muscle mass.

• 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.

• Journal of IKEEE
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• v.26 no.1
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• pp.62-66
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• 2022

Recently, there have been many research efforts based on data-based deep learning technologies to deal with the interference problem between heterogeneous wireless communication devices in unlicensed frequency bands. However, existing approaches are commonly based on the use of complex neural network models, which require high computational power, limiting their efficiency in resource-constrained network interfaces and Internet of Things (IoT) devices. In this study, we address the problem of classifying heterogeneous wireless technologies including Wi-Fi and ZigBee in unlicensed spectrum bands. We focus on a data-driven approach that employs a supervised-learning method that uses received signal strength indicator (RSSI) data to train Deep Convolutional Neural Networks (CNNs). We propose a simple measurement methodology for collecting RSSI training data which preserves temporal and spectral properties of the target signal. Real experimental results using an open-source 2.4 GHz wireless development platform Ubertooth show that the proposed sampling method maintains the same accuracy with only a 10% level of sampling data for the same neural network architecture.

• Structural Engineering and Mechanics
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• v.86 no.5
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• pp.673-686
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• 2023

Determining the properties of pile from cone penetration test (CPT) is costly, and need several in-situ tests. At the present study, two novel hybrid learning models, namely PSO-RF and HHO-RF, which are an amalgamation of random forest (RF) with particle swarm optimization (PSO) and Harris hawks optimization (HHO) were developed and applied to predict the pile set-up parameter "A" from CPT for the design aim of the projects. To forecast the "A," CPT data along were collected from different sites in Louisiana, where the selected variables as input were plasticity index (PI), undrained shear strength (S_u), and over consolidation ratio (OCR). Results show that both PSO-RF and HHO-RF models have acceptable performance in predicting the set-up parameter "A," with R² larger than 0.9094, representing the admissible correlation between observed and predicted values. HHO-RF has better proficiency than the PSO-RF model, with R² and RMSE equal to 0.9328 and 0.0292 for the training phase and 0.9729 and 0.024 for testing data, respectively. Moreover, PI and OBJ indices are considered, in which the HHO-RF model has lower results which leads to outperforming this hybrid algorithm with respect to PSO-RF for predicting the pile set-up parameter "A," consequently being specified as the proposed model. Therefore, the results demonstrate the ability of the HHO algorithm in determining the optimal value of RF hyperparameters than PSO.

• The Journal of the Society of Stroke on Korean Medicine
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• v.14 no.1
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• pp.102-106
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• 2013

■ Objectives The purpose of the this study was to investigate organization change(pennation angle) of lower extremity muscle in elderly with knee osteoarthritis through ultrasonic image. Also, we examined organizational change of muscle was by influenced after total knee replacement(TKR). ■ Methods Rectus femoris image was taken at 50% of the distance between the anterior superior iliac spine and the superior border of the patella. Vastus medialis image was taken at the most distal insertion level of vastus medialis on the medial border of the patella. measurements included the most distal insertion level of the vastus medialis on the medial border of the patella. ■ Results Change of pennation angle in rectus femoris showed decrease from 5.11° in preoperation to 4.29° in 1 week after operation. Change of pennation angle in vastus medialis showed decrease from 6.94° in preoperation to 5.76° in 1 week after operation. ■ Conclusion We consider decrease of pennation angle after total knee replacement in this study was casued by organizational change of muscle and this pennation angle was influenced force created by muscle. Therefore, we thinks that this pennation angle through ultrasonic image will be available to plane individual muscle exercise program and to confirm muscle mass by muscle strength training.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.18 no.2
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• pp.203-228
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• 2007

This study was conducted to explore pending issues as an obstacle factor in the library growth and progress through measurement of Korean and Chinese College undergraduates' perception on the library, and suggest its countermeasure to that the study result showed that their perception to the library's social and cultural function was low, so the library's cultural events need to be consolidated to enhance perception, and the Korean student's study zeal was lower than Chinese, and amny students did not go to the library, but an incentive is needed to escalate the strength of course study or the library availability. Also a countermeasure should be established such as a class link project through continuing specialized librarians' training strengthened, users' group education for the satisfaction enhancement and validity of the information service users.

• 한국노년학
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• v.29 no.3
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• pp.823-835
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• 2009

This study was designed to examine the effects of 12 weeks of circuit exercise on obesity, physical fitness and metabolic syndrome index in elderly obese women. 19 elderly obese women volunteered to participate in and completed the study. Participants went through their exercise program for 30 minutes per session and 3 sessions per week for 12 weeks. Lower(p<.001) and upper extremities strength(p<.05), upper(p<.05) and lower extremities flexibility(p<.01), agility & dynamic balance(p<.001), endurance exercise capacity(p<.05) were significantly increased after 12 weeks circuit training. Also, Body weight(p<.001), BMI(p<.001) & Metabolic syndrome index as waist circumference(p<.01), systolic BP(p<.05), TG(p<.001), HDL-C(p<.01), glucose(p<.05) were significantly differenced between pre and post. It was concluded that circuit exercise program has positive effects on body composition, physical fitness and metabolic syndrome index in elderly obese women.