• Journal of the Korea Academia-Industrial cooperation Society
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• v.20 no.11
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• pp.458-468
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• 2019

This study proposes an efficient weight training strategy to reduce body fat, by identifying the effects of weight training on body fat reductions based on individual characteristics and changes in skinfold thickness. We analyzed the effects of 12-weeks weight training on changes in skinfold thickness and the resulting body fat reductions by considering individual traits of the subject. Our results indicate that individual characteristics have no statistically significant effects on changes in skinfold thickness, but were statistically significant for changes in the amount of body fat. Second, changes in skinfold thickness showed statistically significant effects on changes in body fat. Third, weight training induced changes in skinfold thickness were more significant in men than in women. Men also exhibited greater changes in body fat than women after weight training. Taken together, these findings confirm that changes in skinfold thickness and body fat observed through the 12-week weight training had variations depending on individual characteristics, and changes in skinfold thickness significantly affect the changes in body fat. The weight training program proposed by this study considers incorporation of individual characteristics, rather than accomplishing the same outcome with uniform methods and amounts of training. Furthermore, this program induces changes in skinfold thickness before implementing random efforts for reducing body fat.

• Journal of Digital Contents Society
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• v.11 no.4
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• pp.589-595
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• 2010

In this paper, we have designed and implemented a personalized health training system which provides health training methods using 3D animation based on the data from a professional trainer, after a trainee inputs individual physical characteristics. Many trainers at fitness centers provide only sketchy training method and usage of fitness machines not appropriate training method for trainee's physical characteristics. Individual characteristics. Individual characteristics prepared tabular input which consists of exercise goals, exercise areas, whether or not the normal movement, and RM. The system provides the training methods, the effects of exercise, and the health training motions through searching the database more accurately.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.4
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• pp.183-190
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• 2017

Blood flow restriction(BFR) exercise is defined as low and short lengthexercise with pneumatic pressure belts at the top of the limbs. This study was conducted to investigate the effects of walking exercise with BFR on body composition, growth hormone, and muscle damage markers in obese women. Eleven obese women(> BMI 25kg/m2&> body fat 30%) wore pneumatic pressure belts at both femurs and performed walking exercise twice per day, 3days/wk for 4 week (walking 2min; resting 1min). Body weight, BMI and body fat significantly decreased after exercise(p<0.05), while% body fat was slightly decreased after exercise, although this difference was not significant. Growth hormones increased slightly after exercise, although not significantly. Muscle damage markers (CK(p<0.05), LDH(p<0.05) and K+(p<0.01 increased significantly after exercise, but Mb was did not change significantly. These results suggest that 4-weeks ofblood flow restriction exercisecould be used to prevent and treat obesity and related chronic diseases, as well as metabolic syndrome. Moreover, the effects were similar to those observed in response to high intensity resistance programs, despite the short period for which BFR were conducted.

• The Journal of Korean Institute of Electromagnetic Engineering and Science
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• v.24 no.1
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• pp.64-72
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• 2013

Blind equalization is a technique that equalizes the received signals without the training sequence. Because of the absence of training sequence, we can increase the bandwidth efficiency due to the blind equalization system. And we must use the blind equalization for removing the ISI in mobile satellite communication receiver. ISI occurs due to mobility of users in mobile satellite communications. Blind equalization is suitable for the mobile satellite communication channels. In this blind equalization, it's very important to improve BER performance to apply the mobile satellite communication system. In this paper, we propose the blind beamforming equalization system using the beamforming, MUSIC algorithm and coordinate change method. We were confirmed by the simulation that the proposed system improves the BER performance.

• Communications of the Korean Institute of Information Scientists and Engineers
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• v.30 no.5
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• pp.56-62
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• 2012

• KIPS Transactions on Software and Data Engineering
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• v.6 no.9
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• pp.445-456
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• 2017

In this paper, we propose a method to detect spam tweets containing unhealthy information by using an n-gram dictionary under limited labeling. Spam tweets that contain unhealthy information have a tendency to use similar words and sentences. Based on this characteristic, we show that spam tweets can be effectively detected by applying a Naive Bayesian classifier using n-gram dictionaries which are constructed from spam tweets and normal tweets. On the other hand, constructing an initial training set requires very high cost because a large amount of data flows in real time in a twitter. Therefore, there is a need for a spam detection method that can be applied in an environment where the initial training set is very small or non exist. To solve the problem, we propose a method to generate pseudo-labels by utilizing twitter's retweet function and use them for the configuration of the initial training set and the n-gram dictionary update. The results from various experiments using 1.3 million korean tweets collected from December 1, 2016 to December 7, 2016 prove that the proposed method has superior performance than the compared spam detection methods.

• Journal of the Korea Society of Computer and Information
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• v.25 no.11
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• pp.187-193
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• 2020

This study is proposed to the effects of interval training by different intensity on body fat, flexibility, agility, quickness, and maximal oxygen consumption. A total of 30 healthy men voluntarily participated in the study. The participants were randomized to moderate aerobic exercise(n=15) and high-intensity interval training groups(n=15). Exercise programs lasted for six weeks, with each session occurring four times per week for 50 minutes per session. There were significant differences in fat and physical fitness according to flexibility, agility, quickness, and maximal oxygen consumption within the high-intensity interval training groups(p<.05). For the moderate aerobic exercise group, there was a significant difference in fat, flexibility, maximal oxygen consumption(p<.05). There were significant differences between groups for fat, flexibility, agility and quickness(p<.05). Therefore using high-intensity interval training will significantly benefit obese young men in musculoskeletal capacity and quickness.

• Journal of Life Science
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• v.19 no.6
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• pp.804-808
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• 2009

The purpose of the this study was to examine the effects of 12 weeks of regular aerobic exercise training on hepatic enzymes in type 2 diabetes mellitus (T2DM) patients. The subjects consisted of 13 middle-aged male type 2 diabetes mellitus (T2DM) patients, all of whom had no other complications. Subjects participated in regular aerobic exercise training for 12 weeks, in which they started to exercise for $20{\sim}60$ min, at $60{\sim}80$% $HR_{max}$ (exercise intensity was increased gradually), per day, $3{\sim}5$ times a weeks. The results after 12 weeks were compared to baseline values. Weight and BMI, %body fat, and fasting glucose significantly decreased, and $_{peak}VO_{2}$, exercise time (ET) significantly increased after 12 weeks of aerobic exercise training. On the other hand, there were no significant differences in hepatic enzymes of Albumin, Total bilirubin, Alkaline phosphatate, AST, and ALT after training compared to baseline values. Conclusively, 12 weeks of aerobic exercise training may result in a decrease of insulin resistance factors (Weight, BMI, % body fat, fasting glucose) and an increase of aerobic capacity, but hepatic enzymes did not significantly decrease in middle age T2DM patients.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.27 no.2
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• pp.289-297
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• 2009

In the paper, we propose the methodology to extract training dataset automatically for supervised classification of road networks. For the preprocessing, we co-register the airborne photos, LIDAR data and large-scale digital maps and then, create orthophotos and intensity images. By overlaying the large-scale digital maps onto generated images, we can extract the initial training dataset for the supervised classification of road networks. However, the initial training information is distorted because there are errors propagated from registration process and, also, there are generally various objects in the road networks such as asphalt, road marks, vegetation, cars and so on. As such, to generate the training information only for the road surface, we apply the Expectation Maximization technique and finally, extract the training dataset of the road surface. For the accuracy test, we compare the training dataset with manually extracted ones. Through the statistical tests, we can identify that the developed method is valid.

• Journal of Korea Multimedia Society
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• v.14 no.10
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• pp.1311-1322
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• 2011

Gesture is applied in many applications such as smart-phone, tablet-PC, and web-browser since it is a fast and simple way to invoke commands. For gesture applications, a gesture designer needs to consider both user and system during designing gestures. In spite of development of gesture design tools, some difficulties for gesture design still remains as followings; first, a designer must design every gesture manually one by one, and, second, a designer must repeatedly train gestures. In this paper, we propose a gesture proposal system that automates gesture training and gesture generation to provide more simple gesture design environment. Using automation of gesture training, a designer does not need to manually train gestures. Proposed gesture proposal system would decrease difficulties of gesture design by suggesting gestures of high recognition possibility that are generated based on mahalanobis distance calculation among generated and pre-existing gestures.