• Advances in nano research
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• v.16 no.4
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• pp.353-363
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• 2024

The incorporation of nanoplatelets in composite and polymeric materials represents a recent and innovative approach, holding substantial promise for diverse property enhancements. This study focuses on the application of nanocomposites in the production of sports equipment, particularly soccer balls, aiming to bridge the gap between theoretical advancements and practical implications. Addressing the longstanding challenge of suboptimal interaction between carbon nanofillers and epoxy resin in epoxy composites, this research pioneers inventive solutions. Furthermore, the investigation extends into unexplored territory, examining the integration of glass fiber/epoxy composites with nanoparticles. The incorporation of nanomaterials, specifically expanded graphite and graphene, at a concentration of 25.0% by weight in both the epoxy structure and the composite with glass fibers demonstrates a marked increase in impact resistance compared to their nanomaterial-free counterparts. The research transcends laboratory experiments to explore the practical applications of nanocomposites in the design and production of sports equipment, with a particular emphasis on soccer balls. Analytical techniques such as infrared spectroscopy and scanning electron microscopy are employed to scrutinize the surface chemical structure and morphology of the epoxy nanocomposites. Additionally, an in-depth examination of the thermal, mechanical, viscoelastic, and conductive properties of these materials is conducted. Noteworthy findings include the efficacy of surface modification of carbon nanotubes in preventing accumulation and enhancing their distribution within the epoxy matrix. This optimization results in improved interfacial interactions, heightened thermal stability, superior mechanical properties, and enhanced electrical conductivity in the nanocomposite.

• ETRI Journal
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• v.30 no.1
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• pp.101-112
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• 2008

In this paper, we present a method to customize the ground color in outdoor sports video to provide TV viewers with a better viewing experience or subjective satisfaction. This issue, related to content personalization, is becoming critical with the advent of mobile TV and interactive TV. In outdoor sports video, such as soccer video, it is sometimes observed that the ground color is not satisfactory to viewers. In this work, the proposed algorithm is focused on customizing the ground color to deliver a better viewing experience for viewers. The algorithm comprises three modules: ground detection, shot classification, and ground color customization. We customize the ground color by considering the difference between ground colors from both input video and the target ground patch. Experimental results show that the proposed scheme offers useful tools to provide a more comfortable viewing experience and that it is amenable to real-time performance, even in a software-based implementation.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.1
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• pp.32-39
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• 2004

The color-based vision systems have been used to recognize our team robots, the opponent team robots and a ball in the robot soccer system. The color-based vision systems have the difficulty in that they are very sensitive to color variations brought by brightness changes. In this paper, a neural network trained with data obtained from various illumination conditions is used to classify colors in the modified YUV color space for the robot soccer vision system. For this, a new method to measure brightness is proposed by use of a color card. After the neural network is constructed, a look-up-table is generated to replace the neural network in order to reduce the computation time. Experimental results show that the proposed color classification method is robust under illumination variations.

• Journal of the Korean Society of Manufacturing Technology Engineers
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• v.24 no.6
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• pp.696-702
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• 2015

This paper suggests a new method for making a navigation path by using Bezier curve in order to improve the navigation performance used to avoid obstacles during a robot soccer game. We analyzed the advantages and disadvantages of both vector-field and limit-cycle navigation methods, which are the mostly widely used navigation methods for avoiding obstacles. To improve the disadvantages of these methods, we propose a new design technique for generating a more proper path using Bezier curve and describe its advantages. Using computer simulations and experiments, we compare the performance of vector-field navigation with that of Bezier curve navigation. The results prove that the navigation performance using Bezier curve is relatively superior to the other method.

• Proceedings of the IEEK Conference
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• summer
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• pp.119-121
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• 2004

Video event detection has become an essential application in multimedia computing. For sports video, salient events are usually detected by analyzing video sequence by specific decision rules. However in many kinds of sports video (e.g. soccer), the game contains continuous actions, in which the boundaries of shots, scenes are uncertain. So the conventional analyzing methods using crisp decisions are not efficient. Fuzzy logic is a natural approach that can tackle this problem. In this paper, we present a new approach using fuzzy technique for event detection in soccer video. The experiment shows encouraging results for this method

• Proceedings of the IEEK Conference
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• 2000.07b
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• pp.877-880
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• 2000

In this paper, we develop an algorithm of soccer image sequences mosaicing using reverse affine transform. The continuous mosaic images of soccer ground field allows the user/viewer to view a “wide picture” of the player’s actions The first step of our algorithm is to automatic detection and tracking player, ball and some lines such as center circle, sideline, penalty line and so on. For this purpose, we use the ground field extraction algorithm using color information and player and line detection algorithm using four P-rules and two L-rules. The second step is Affine transform to map the points from image to model coordinate using predefined and pre-detected four points. General Affine transformation has many holes in target image. In order to delete these holes, we use reverse Affine transform. We tested our method in real image sequence and the experimental results are given.

• The Journal of Korean Physical Therapy
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• v.30 no.6
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• pp.211-217
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• 2018

Purpose: This study is to investigate influence of tDCS on lower limb muscle activity and balance ability in soccer player. Methods: Sessions were conducted with 15 subjects in tDCS group and 15 in action observation training group for 20 minutes, 5 sessions a week, for 8 weeks. All soccer players underwent 30 minutes of plyometric training before main exercise. To evaluate lower limb muscle activation, rectus femoris and biceps femoris were taken measure using surface electromyogram system and to evaluate balance ability, surface area, whole path length, limited of stability were measured using biorescue. Results: Regarding balance shown in surface area, whole path length, limited of stability and muscle activation in rectus femoris and biceps femoris, tDCS group showed more significant change than action bservation training group. Conclusion: Therefore, intervention using tDCS is more effective in improving lower limb muscle activation and balance ability than action observation training.

• The KIPS Transactions:PartB
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• v.14B no.1 s.111
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• pp.1-4
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• 2007

In this paper, we propose an efficient scheme for automatically detecting highlight scenes in soccer videos. Highlights are defined as shooting scenes and goal scenes. Through the analysis of soccer videos, we notice that most of highlight scenes are shown around the goal post area. It is also noticed that the TV camera zooms in a setter player or spectators after the highlight stones. Detection of highlight scenes for soccer videos consists of three steps. The first step is the extraction of the playing field using a statistical threshold. The second step is the detection of goal posts. In the final step, we detect a zooming of a soccer player or spectators by using connected component labeling of non-playing field. In order to evaluate the performance of our method, the precision and the recall are computed. Experimental results have shown the effectiveness of the proposed method, with 95.2% precision and 85.4% recall.

• Journal of Korean Home Economics Education Association
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• v.12 no.1
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• pp.59-73
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• 2000

The purpose of this study was to investigate the percent of body fat. fatness indices. and relationship between the percent body fat and dietary factors among the female middle school athletes. Hights, weights, an percent body fats of 17 soccer player. 10swimmer, and 5 rhythmic gymnast were measured. Dietary data were collected by questionnaires. The results of this study are summarized as follows. 1. Average body fat measured by infrared interactance method was 23.8$\pm$4.9% and BMI body fat was 20.3$\pm$2.6% Fatness indices such as BMI was 18.8$\pm$2.1 Rohrer index 119.4$\pm$11.8 percentage of ideal weight 90.4$\pm$9.2 and RBW 29.7$\pm$4.1. 2. Soccer player, swimmer, and rhythmic gymnast showed significant differences in percent body fat and fatness indices. ryhthmic gymnasts were smaller and lighter. 3. Most athletes were interested in diet and nutrition. and wanted to learn more about nutrition. Middle school female athletes ranked parents first or second for nutrition information. followed by managers$.$coaches$.$trainers. 4. Nutrition knowledge test score was 4.7 point out of possible 10, which is rather low, and showed significant difference in 3 kinds of players. 5. The quantities of food eaten in breakfast. lunch dinner and snack were significantly different among soccer player. swimmer. and rhythmic gymnast. In preference score of food groups, only beverage score was significantly different and of cooking methods. roasting and steaming were significantly different among the soccer player. swimmer. and rhythmic gymnast. 6. When subjects were divided into 3 groups on the basis of % infrared body fat, subjects with the highest body fat showed the tendency to eat more than others(non-sig). In the preference score of food groups. only fish showed significant difference among the groups. There were no significant differences between body fat and preference of various cooking method.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.16 no.8
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• pp.5296-5303
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• 2015

This study aimed to analyze the effect of flexi-bar exercise on changes in postural alignment and balance of juvenile soccer players. The subjects were juveniles soccer players divided into exercise and control groups of 10 players each. The exercise group performed a flexi-bar exercise for 30 minutes a day three times weekly for eight weeks, and the differences in postural alignment and balance before and after the experiment and between study groups were analyzed. The measurements before the subjects exercised revealed overall asymmetric postural alignments and balance toward the right and rear sides. The study results showed that the exercise group had a statistically significant improvement in the height and angle of both shoulder, scapula, pelvis and hands(p<.05) after performing the exercise. Changes in balance showed that the exercise group had statistically significant reduction in changes in curve length(p<.05). The study verified that flexi-bar exercise can be effective for improving the postural alignment and balance of juvenile soccer players.