• Korean Journal of Applied Biomechanics
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• v.27 no.1
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• pp.19-23
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• 2017

Objective: The aim of this study was to investigate the relationship between the ball velocity and the upper extremity kinematics for both dominant and non-dominant side in inexperienced participants about an overarm throwing task. Method: Seven women who are inexperienced in overarm throwing participated in this study (Age: $25.1{\pm}2.4years$, Height: $160.8{\pm}3.5$; Weight $56.5{\pm}7.8$). Participants visit the laboratory for three days with one day rest between test sessions. Whole body 3-dimensional (3D) motion capture was recorded during the overarm throwing trials with ten cameras Vicon motion analysis system (T-10, T40, Oxford Metrics Ltd, UK). Total 45 overarm throwing were recorded for each side for each test session. Ball speed also was measured 3 meters away behind the subjects and recorded for every trial. Results: Mean ball velocity was higher for dominant hand compared to non-dominant hand (p <.05). Trunk segment variables (maximum angles and angular velocities) showed the most consistent relationship with the ball velocity. Conclusion: The importance of the trunk segment during the throwing activities can be seen in some individuals. But inconsistent results between subjects emphasize the importance of the individuals' movement patterns especially for bilateral sports. The future studies should be conduct about the sequence of segments, kinetic variables and effect of training.

• Journal of Life Science
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• v.19 no.1
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• pp.81-86
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• 2009

The purpose of the present study was to examine effect of 12 week regular aerobic exercise on ST-segment and QTc interval in middle age type 2 diabetes mellitus (T2DM) patients. The subjects consist of 13 type 2 diabetes mellitus (T2DM) patients in middle age men and all of them had no other complications. Subjects participated in aerobic exercise training for 12 weeks. They started to exercise for $20{\sim}60$ min at $60{\sim}80%$ of $HR_{max}$, (exercise intensity has been increased gradually) per day, $3{\sim}5$ times a week. The results were compared before and after. Weight and BMI, % body fat, fasting glucose, HOMA-IR, $_{peak}DBP$ were significantly decreased and $_{peak}HR$, $_{peak}VO_2$, exercisre time were significantly increased after 12 week aerobic exercise. Also, QTc interval and ST-segment were significantly decreased during at rest, peak exercise after 12 week aerobic exercise. Conclusionally, 12 week aerobic exercise may be improvement in decreased cardiovascular mortality factors (ST-segment) and abnormal autonomic dysfunction (QTc interval) and potentially increased exercise capacity.

• Archives of Plastic Surgery
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• v.47 no.2
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• pp.153-159
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• 2020

Background Perforator artery flaps based on the branches of intercostal arteries and lateral thoracic artery can be used for reconstruction after breast-conserving surgery (BCS). Although described more than a decade ago, these have not been adopted widely in clinical practice. We report on short-term and long-term surgical outcomes of partial breast reconstruction using chest wall perforator flaps from a prospective multicenter audit. Methods All patients operated for BCS and partial breast reconstruction using intercostal artery perforator or lateral thoracic artery perforator flaps from January 2015 to October 2018 were included in the analysis. Oncoplastic breast surgeons with appropriate level of training performed all tumor excisions and reconstructions as a single-stage procedure. Patient characteristics, treatment details and surgical outcomes were noted. Specific outcomes recorded were margin re-excision and complication rates. Results One hundred and twelve patients underwent the procedure in the given study period. The median age was 54 years. Median specimen weight was 62.5 g and median volume of excision was 121.4 mL. Fifteen patients (13.39%) underwent a margin re-excision for close or positive margins without additional morbidity. One patient required a completion mastectomy. Eight patients (7.14%) had an early complication. None of the patients required a contralateral symmetrization procedure. The results were comparable across the participating centers. Conclusions Chest wall artery perforator-based flaps are an excellent option for lateral and inferior quadrant partial breast reconstructions. The short and long-term surgical outcomes are comparable across sites and can be performed with minimal morbidity. Patient-reported outcome measures need to be studied.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.41 no.1
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• pp.118-127
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• 2018

Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid measuring methods for service quality are necessary. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. Kano classified the degree of influence that is the degree of correspondence of the quality attributes of products and services to the subjective satisfaction of customers. As a result, the types of qualities are classified as attractive, must be, one dimensional, and indifference attributes. They have been widely used quality attributes in various industrial fields up to now. However, Kano model has a limit that it ignores the characters of the next frequent numbers even though there are not much gap comparing to the most frequent number in the questionnaire answers. The limit is attributed to the character of Kano model that the most frequent number is accepted as the only quality character. Timko calculated the customer satisfaction coefficient by using Kano's method and studied the differences in quality character by classifying the quality characteristics in a graphical way through the relationship between the satisfaction and the dissatisfaction coefficient. In this study, we used the quality level determination method of the 7-point Likert scale, which takes the weight into account, to complement the deficiencies of the existing Kano model. We also developed and applied a Potential Satisfaction Level (P) and Potential Customer Demand Improvement (PCDI) Index to present a new approach to the determination of service quality attributes. To measure the level of potential service satisfaction and to understand the degree of improvement, we collected specimens of 51 participants who has been trained in the National Strategy Business Training Program, which has been managed by government agent, and analyzed the results.

• Journal of the Korean Dietetic Association
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• v.26 no.1
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• pp.42-53
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• 2020

The relationship of abdominal obesity ("AO") with co-morbidity and mortality is well established. This study assessed the factors associated with AO, which was defined as a waist circumference ≥90 cm for men and ≥85 cm for women, in the group aged over 65 years. A total of 1,435 subjects were analyzed among the participants of the 2014 Korean National Health and Nutrition Examination Survey. Statistical methods for a complex sample were applied by using a SPSS program (ver. 25.0). AO was more frequently found in females. The results of the logistic regression analysis showed that heavy drinking (OR: 1.53), no weight training (OR: 0.68), stressful mental status (OR: 0.61), bad health-related quality of life (by EQ_5D, OR: 1.45), hypertension (OR: 2.18), prediabetes (OR: 1.94), diabetes (OR: 1.63), low HDL-cholesterol (OR: 1.86), anemia (OR: 0.55), and heavy energy intake (OR: 1.41) were significantly related with the prevalence of AO after adjustment for gender. Heavy drinking (OR: 1.89), bad self-rating of health status (OR: 1.72), low HDL-cholesterol (OR: 1.85), heavy energy intake (OR: 1.79), low intake of riboflavin (OR: 1.60) were still significantly related with the prevalence of AO after adjustment for gender and body mass index (BMI), this study suggests that certain characteristics of health habits, mental health status, and chronic diseases may be associated with AO. This study did not establish the existence of relationship between nutrient intakes, except for riboflavin, and risk of AO, but this study suggests that prospective research is needed to establish causal connections among those factors.

• Journal of Digital Convergence
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• v.14 no.3
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• pp.209-217
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• 2016

Recently, the outdoor activities were increased in accordance with economic growth and improved quality of life. In addition, weather and outdoor activities are closely related. Currently, Outdoor Activities decisions are determined by the Korea Meteorological Administrator's forecasts and subjective experience. Therefore, we need the analysis method that can provide a basis for the decision on outdoor activities based on meteorological information. In this paper, we propose an algorithm that can analyze meteorological information to support decision-making outdoor activities. And the algorithm is based on the data mining. In addition, we have constructed a baseball game schedule with automatic weather system's observation data in the training data. We verified the improved performance of the proposed algorithm.

• International Journal of Internet, Broadcasting and Communication
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• v.10 no.2
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• pp.84-94
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• 2018

The purpose of this study was to compare the balance ability at different foot positions using K A T 2000 (Berg, Inc, vista, CA.1994). Thirty (male 15, female 15) normal subjects participated in this study. All subjects were tested at a one leg position or a two leg position that were toe-in $25^{\circ}$, toe-out $25^{\circ}$, and $45^{\circ}$. The starting position was where the subject crossed their arms across the chest and flexed knees slightily. The results of each test were displayed on a screen in a score format, which indicated balance index. These collected data were analyzed by using one way ANOVA, and t-test. The results of this study were as follows: When changing the angle of the foot in the one-foot and two-foot standing positions, there was no statistically significant difference, but the balance performance with the foot rotated by $25^{\circ}$ was better than that with the foot rotated by $45^{\circ}$. When changing the direction of the foot in the one-foot and two-foot standing positions, there was no statistically significant difference, but the balance performance with the foot rotated laterally was better - except for the case when the foot was medially rotated by $25^{\circ}$ in the right-foot static standing position. When the feet were medially rotated by $25^{\circ}$ in the two-foot static standing position, and were medially rotated by $25^{\circ}$ and $45^{\circ}$ in the one-foot static standing position, the balance performance of females was better than that of males. In this study, it was found that the balance performance of the subjects changed when the position of the foot was shifted on an unstable base of support. However, there was little correlation between balance performance and the height, weight and foot length of the subjects. It is necessary to conduct a follow-up study targeting various age groups and those with various diseases using an unstable platform or applying different physical or visual conditions, such as the length of the legs. Physical therapists need to consider the position of the foot in clinical settings for a better balance training or assessment.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.6
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• pp.622-627
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• 2014

This paper proposes a new method which improves recognition rate on the gait recognition system using wavelet transform, linear discriminant analysis and genetic algorithm. We use wavelet transform to obtain the four sub-bands from the gait energy image. In order to extract feature data from sub-bands, we use linear discriminant analysis. Distance values between training data and four sub-band data are calculated and four weights which are calculated by genetic algorithm is assigned at each sub-band distance. Based on a new fusion distance value, we conducted recognition experiments using k-nearest neighbors algorithm. Experimental results show that the proposed weight fusion method has higher recognition rate than conventional method.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.12
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• pp.2946-2952
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• 2014

Among the Example based Super Resolution(SR) techniques, Neighbor embedding(NE) has been inspired by manifold learning method, particularly locally linear embedding. However, the poor generalization of NE decreases the performance of such algorithm. The sizes of local training sets are always too small to improve the performance of NE. We propose the Learning Sparse-Neighbor Image Representation baesd on SVR having an excellent generalization ability to solve this problem. Given a low resolution image, we first use bicubic interpolation to synthesize its high resolution version. We extract the patches from this synthesized image and determine whether each patch corresponds to regions with high or low spatial frequencies. After the weight of each patch is obtained by our method, we used to learn separate SVR models. Finally, we update the pixel values using the previously learned SVRs. Through experimental results, we quantitatively and qualitatively confirm the improved results of the proposed algorithm when comparing with conventional interpolation methods and NE.

• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.23-34
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• 2020

Recently, the artificial intelligence deep learning field has been hard to commercialize due to the high computing power and the price problem of computing resources. In this paper, we apply a double pruning techniques to evaluate the performance of the in-depth neural network and various datasets. Double pruning combines basic Network-slimming and Parameter-prunning. Our proposed technique has the advantage of reducing the parameters that are not important to the existing learning and improving the speed without compromising the learning accuracy. After training various datasets, the pruning ratio was increased to reduce the size of the model.We confirmed that MobileNet-V3 showed the highest performance as a result of NetScore performance analysis. We confirmed that the performance after pruning was the highest in MobileNet-V3 consisting of depthwise seperable convolution neural networks in the Cifar 10 dataset, and VGGNet and ResNet in traditional convolutional neural networks also increased significantly.