• The Journal of Korean Academy of Orthopedic Manual Physical Therapy
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• v.28 no.1
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• pp.9-17
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• 2022

Background: Functional massage is a therapeutic massage that incorporates joint motion in non-end-range to reduce pain and improve range of motion (ROM) in patients. This study was aimed at investigating the immediate effect of functional massage on pain, range of motion, balance ability and, gait speed of patients having undergone total hip replacement. Methods: Twenty patients were treated by one participating orthopedic manual physical therapist and randomly assigned to the control group (n=10) or the experimental group (n=10). To treat patients of each group, functional massage and range of motion exercises were used. The experimental group received a functional massage and the control group received range of motion exercise for minutes for one session. The visual analog scale was used for pain assessment. Balance ability was measured using a timed up and go test and a one-leg standing test for patients. The 10-meter walk test was used for the measurement of gait speed assessment of patients. Results: Significant improvements were observed in terms of balance ability (p<.05), gait speed (p<.05), and ROM (p<.05) after functional massage. There was no significant inter-group difference (p>.05). Conclusion: Application of the functional massage showed that statistically significant improvements in ROM, gait speed, and balance ability after a single treatment session. This technique may be a useful treatment in patients having undergone total hip replacement.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.23 no.6
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• pp.61-67
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• 2023

The rise of 5G and the proliferation of smart devices have underscored the significance of multi-access edge computing (MEC). Amidst this trend, interest in effectively processing computation-intensive and latency-sensitive applications has increased. This study investigated a novel task offloading strategy considering the probabilistic MEC environment to address these challenges. Initially, we considered the frequency of dynamic task requests and the unstable conditions of wireless channels to propose a method for minimizing vehicle power consumption and latency. Subsequently, our research delved into a deep reinforcement learning (DRL) based offloading technique, offering a way to achieve equilibrium between local computation and offloading transmission power. We analyzed the power consumption and queuing latency of vehicles using the deep deterministic policy gradient (DDPG) and deep Q-network (DQN) techniques. Finally, we derived and validated the optimal performance enhancement strategy in a vehicle based MEC environment.

• The Journal of the Korea institute of electronic communication sciences
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• v.19 no.1
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• pp.309-316
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• 2024

Facial recognition technology is widely used in various fields but faces challenges due to its vulnerability to fraudulent activities such as photo spoofing. Extensive research has been conducted to overcome this challenge. Most of them, however, require the use of specialized equipment like multi-modal cameras or operation in high-performance environments. In this paper, we introduce LH-FAS v2 (: Lightweight Head-pose-based Face Anti-Spoofing v2), a system designed to operate on a commercial webcam without any specialized equipment, to address the issue of facial recognition spoofing. LH-FAS v2 utilizes FSA-Net for head pose estimation and ArcFace for facial recognition, effectively assessing changes in head pose and verifying facial identity. We developed the VD4PS dataset, incorporating photo spoofing scenarios to evaluate the model's performance. The experimental results show the model's balanced accuracy and speed, indicating that head pose estimation-based facial anti-spoofing technology can be effectively used to counteract photo spoofing.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.713-722
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• 2024

This study highlights the impact of Artificial Intelligence (AI) technology on journalism, discussing its utility and addressing major ethical concerns. Broadcasting companies and media institutions, such as the Bloomberg, Guardian, WSJ, WP, NYT, globally are utilizing AI for innovation in news production, data analysis, and content generation. Accordingly, the ecosystem of AI journalism will be analyzed in terms of scale, economic feasibility, diversity, and value enhancement of major media AI service types. Through the previous literature review, this study identifies key ethical and social issues in AI journalism as well. It aims to bridge societal and technological concerns by exploring mutual development directions for AI technology and the media industry. Additionally, it advocates for the necessity of integrated guidelines and advanced AI literacy through social consensus in addressing these issues.

• PNF and Movement
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• v.22 no.2
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• pp.191-199
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• 2024

Purpose: This study aimed to investigate the effects of ankle stretching with intrinsic muscles on ankle range of motion, static and dynamic balance, and gait speed in chronic stroke patients. Methods: The participants were 20 chronic stroke patients, divided into two groups, 10 in the ankle stretching with intrinsic muscles group and 10 in the slant board exercise group. Both groups performed their respective interventions once daily, with three sets per session, five times a week for four weeks. Ankle range of motion, dynamic and static balance, and gait speed were measured before and after the intervention. An independent t-test was used to compare the results between the two groups before and after the intervention. Results: Both groups showed significant improvements in ankle range of motion, dynamic and static balance, and gait speed after the intervention (p < .05). The ankle stretching with intrinsic muscles group showed more significant improvements in ankle range of motion, dynamic and static balance, and gait speed after the intervention compared to the slant board group (p < .05). These results suggest that ankle stretching with intrinsic muscles may be more effective than the slant board for certain outcomes. Conclusion: Ankle stretching with intrinsic muscles is effective in improving ankle range of motion, dynamic and static balance, and walking speed.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.105-109
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• 2024

This study analyzes the increasingly severe issue of recruiting military officer personnel due to low birth rates and social changes, and seeks to explore recruitment strategies that consider the characteristics of the MZ generation. The military strives to maintain security amidst ongoing military threats from North Korea, but the sharp decline in birth rates significantly impacts conscription resources and personnel recruitment. Additionally, the shift in values among the MZ generation and the cultural gap between them and the military organization make it challenging to attract outstanding talents. The MZ generation values work-life balance, horizontal relationships, and self-fulfillment, finding the authoritative and hierarchical military culture unattractive. Therefore, this study aims to diagnose the problems in military personnel recruitment and propose tailored recruitment strategies reflecting the characteristics of the MZ generation, ultimately exploring sustainable development directions for the future military.

• Journal of Life Science
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• v.20 no.4
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• pp.535-542
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• 2010

This study was carried out to examine anthropometric parameters and related habits in female college students. Mean age, height, and body weight of the subjects in total (n=212) were 20.7 yrs, 161.8 cm, and 53.5 kg, respectively. Anthropometric parameters were measured by bioelectrical impedance analysis. Mean degree of obesity, body mass index (BMI), and waist-hip ratio (WHR) were 98.4%, $20.6\;kg/m^2$, and 0.80 respectively. Surprisingly, 63.7% of the subjects showed unbalanced weak upper bodies compared to their lower bodies. Therefore, they were divided into two groups: unbalanced weak upper body group (UU, n=135) and balanced upper body groups (BU, n=77). Bodyweight, degree of obesity, BMI, and WHR in the UU group were significantly lower than those in the BU group. Amounts of body protein, body fat, and body mineral in the UU group were also significantly lower than those of the BU group. Mid-arm muscle circumference of the UU group ($18.5{\pm}0.8\;cm$) was significantly lower than those of BU group ($20.4{\pm}1.2\;cm$), although mid-arm circumference of the UU group was not significantly different compared to those of the BU group. On a questionnaire on exercise habits, 1.5% of the UU group and 7.8% of the BU group answered that they exercised regularly, and 55.5% of the UU group and 31.2% of the BU group reported that they never exercised (p<0.01). Even in the subjects who exercised, the duration of the exercise was not sufficient because 38.4% of the UU group and 35.8% of the BU group answered that they exercised for less than 30 min. In conclusion, interventions in exercise habits may be needed for female college students who have unbalanced weak upper bodies.

• KOREAN JOURNAL OF PACKAGING SCIENCE & TECHNOLOGY
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• v.23 no.1
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• pp.27-36
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• 2017

In order to determine the relationship between water content and flower qualities of oriental hybrid lily cv. 'Siberia' cut flower, flowers were subjected to dry and cold storage at $5^{\circ}C$ for 3, 6, and 12 days and subsequently exposed to ambient temperature ($26^{\circ}C$) in bottles with water for up to 16 days. Flowers stored at $22^{\circ}C$ in dry condition for 3 days were used as the control. Changes in fresh weight, moisture content, water balance, flowering stages, osmolality and vase life of cut flowers were observed. Flowers treated with cold and dry storage had higher moisture content compared to control sample. However, this trend was evident only for 3-day cold and dry stored sample during the whole storage period. The fresh weight of cut flowers increased gradually when the samples were transferred to ambient temperature in water bottles and then declined steadily before reaching the peak in between 6-8 days of vase life. However, the changes of fresh weight of control sample were substantially faster than samples pre-treated with cold and dry storage. This was also correlated with the water balance of cut flower as it reached the minus (-) value in 6-8 days of vase life at ambient temperature. Cut lily flowers showed high osmolality values corresponding with the duration of dry storage regardless of low or higher temperature. However, osmolality had no effect on vase life since flower stem absorbed water rapidly at the end of dry storage period. Our vase life results suggest that cold and dry storage of lily cut flowers for a certain period could ensure longer vase life at ambient temperature. It was observed that prolonging the storage period at cold and dry condition for more than a week significantly increased bud abortion, reduced longevity of flowers and reduced the vase life of cut flowers. On the other hand, the shorter cold and dry storage treatment delayed the bud opening and senescence of the flowers, thus, slowering the normal maturation and aging. Results indicated that dry and cold storage at $5^{\circ}C$ for 3 days was effective in maintaining and preserving overall quality and vase life at ambient condition of oriental hybrid lily cut flowers.

• Journal of Sasang Constitutional Medicine
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• v.8 no.1
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• pp.1-15
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• 1996

The Sasang Constitutional Medicine seeks the psychosomatic balance, and the Basic principle of treatment according to the symptom(病證藥理) in Sasang Constitutional Medicine could be summarize as follows. 1. The pursuit of Shape-Image Medicine (形象醫學) and the Symptoms of shape - Symptoms of disease (形置病證). It established emotion, symptoms of constitution, and symptoms of constitutional disease on the base of Shape-Image Medicine (形象醫學) which means qi (氣) is inside and shape is outside (氣裡形表). 2. The inductive medicine and positive medicine. It systematized the Symptoms of shape - Symptoms of disease (形證病證) on the base of the medical practice of the ancients and Lee Jae-Ma (李濟馬)'s own experience inductively, and it present show to control the psychosomatic balance practically. 3. The pathology centering on human. Oriental medicine is based on Yin-Yang (陰陽) and Five elements (五行) and the harmony of nature and human (天人相應) of Taoism, but Sasang Constitutional Medicine is based on emotional and ethical pathology of Confucianism (儒學). 4. The treatment according to the symptom (病證藥理) in Sasang Constitutional Medicine centering on clear qi (正氣). The promotion and demotion (補瀉) which is based on clear qi (正氣) and evil qi (邪氣) is a basic principle in Oriental medicine, but In Sasang Constitutional Medicine it is attached importance to control of clear qi and classify obedience symptom and disobedience symptom (順 逆症) as the type to oppose disease. 5. The treatment according to the psychomatic symptoms. It takes importances to control of one-sided emotion as well as the treatment of psychical symptoms, and also to remedy disease as keeping under control one's mind. 6. The preventive medicine and the medicine to develop one's health. It is in pursuit of social health to develop personality through clear qi (正氣) in real life, to prevent disease, and to spread the sickness control of individual person. Sasang Constitutional Medicine pursuits the psychosomatic balance through 'Balance', 'Control', 'Self regulating Control' of the 'Golden Mean (中庸)' with the treatment according to the symptom (病證藥理) in Sasang Constitutional Medicine.

• Journal of Intelligence and Information Systems
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• v.19 no.2
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• pp.125-140
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• 2013

We call a data set in which the number of records belonging to a certain class far outnumbers the number of records belonging to the other class, 'imbalanced data set'. Most of the classification techniques perform poorly on imbalanced data sets. When we evaluate the performance of a certain classification technique, we need to measure not only 'accuracy' but also 'sensitivity' and 'specificity'. In a customer churn prediction problem, 'retention' records account for the majority class, and 'churn' records account for the minority class. Sensitivity measures the proportion of actual retentions which are correctly identified as such. Specificity measures the proportion of churns which are correctly identified as such. The poor performance of the classification techniques on imbalanced data sets is due to the low value of specificity. Many previous researches on imbalanced data sets employed 'oversampling' technique where members of the minority class are sampled more than those of the majority class in order to make a relatively balanced data set. When a classification model is constructed using this oversampled balanced data set, specificity can be improved but sensitivity will be decreased. In this research, we developed a hybrid model of support vector machine (SVM), artificial neural network (ANN) and decision tree, that improves specificity while maintaining sensitivity. We named this hybrid model 'hybrid SVM model.' The process of construction and prediction of our hybrid SVM model is as follows. By oversampling from the original imbalanced data set, a balanced data set is prepared. SVM_I model and ANN_I model are constructed using the imbalanced data set, and SVM_B model is constructed using the balanced data set. SVM_I model is superior in sensitivity and SVM_B model is superior in specificity. For a record on which both SVM_I model and SVM_B model make the same prediction, that prediction becomes the final solution. If they make different prediction, the final solution is determined by the discrimination rules obtained by ANN and decision tree. For a record on which SVM_I model and SVM_B model make different predictions, a decision tree model is constructed using ANN_I output value as input and actual retention or churn as target. We obtained the following two discrimination rules: 'IF ANN_I output value <0.285, THEN Final Solution = Retention' and 'IF ANN_I output value ${\geq}0.285$, THEN Final Solution = Churn.' The threshold 0.285 is the value optimized for the data used in this research. The result we present in this research is the structure or framework of our hybrid SVM model, not a specific threshold value such as 0.285. Therefore, the threshold value in the above discrimination rules can be changed to any value depending on the data. In order to evaluate the performance of our hybrid SVM model, we used the 'churn data set' in UCI Machine Learning Repository, that consists of 85% retention customers and 15% churn customers. Accuracy of the hybrid SVM model is 91.08% that is better than that of SVM_I model or SVM_B model. The points worth noticing here are its sensitivity, 95.02%, and specificity, 69.24%. The sensitivity of SVM_I model is 94.65%, and the specificity of SVM_B model is 67.00%. Therefore the hybrid SVM model developed in this research improves the specificity of SVM_B model while maintaining the sensitivity of SVM_I model.