• Proceedings of the Korean Society of Precision Engineering Conference
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• 1996.11a
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• pp.434-438
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• 1996

In this paper we present the multi-agent robot system and the vision system developed for participating in micro robot soccer tournament. The multi-agent robot system consists of micro robot, a vision system, a host computer and a communication module. Micro robot are equipped with two mini DC motors witf encoders and gearboxes, a R/F receiver, a CPU and infrared sensors for obstacle detection. A vision system is used to recognize the position of the ball and opponent robots, position and orientation of our robots. The vision system is composed of a color CCD camera and a vision processing unit(AISI vision computer). The vision algorithm is based on morphological method. And it takes about 90 msec to detect ball and 3-our robots and 3-opponent robots with reasonable accuracy

• The Journal of the Korea Contents Association
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• v.8 no.10
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• pp.278-286
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• 2008

This study's purpose is to offer to basic data in each professional soccer team's spectator marketing strategy through researching the influence of spectators' life style on the appeal of professional soccer. This study's survey is target 500 spectators who were present at the professional soccer championship game in 2007 at Seongnam Stadium. Data analysis was done on 484 spectators's questionnaires using SPSS V. 12.0. To analyze materials the frequency, correlations, and regression analysis were used as statistic analysis techniques. The conclusion based on above study method and the result of material analysis are here below. First, the influence of spectator's life-style on the loyalty(action loyalty, attitude loyalty)of professional soccer. Second, the influence of spectator's life style on the appeal(field factor, game circumstance factor, spectating expense factor, promotion factor, entertainment factor, player factor)of professional soccer.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.648-651
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• 1997

This paper proposes methods for the cooperative control of multiple mobile robots and constructs a robotic soccer system in which the cooperation will be implemented as a pass play of two robots. To play a soccer game, elementary actions such as shooting and moving have been designed, and Q-learning, which is one of the popular methods for reinforcement learning, is used to determine what actions to take. Through simulation, learning is successful in case of deliberate initial arrangements of ball and robots, thereby cooperative work can be accomplished.

• Proceedings of the KIEE Conference
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• 1998.11b
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• pp.543-545
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• 1998

Robotic soccer is multi-agent system playing soccer game under given rule. This system consists of three mobile robots, vision sensor, action decision module, action execution module and communication module. This paper presents new action decision method using multi-layer neural networks.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.2_1
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• pp.257-268
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• 2024

Soccer is type of sport that carries a high risk of injury. Injury is not only cause in the unlucky soccer carrier and also team performance as well as financial effects can be worse since soccer is a team-based game. The duration of recovery from a soccer injury typically relies on its type and severity. Therefore, we conduct this research in order to predict the probability of players injury type using machine learning technologies in this paper. Furthermore, we compare different machine learning models to find the best fit model. This paper utilizes various supervised classification machine learning models, including Decision Tree, Random Forest, K-Nearest Neighbors (KNN), and Naive Bayes. Moreover, based on our finding the KNN and Decision models achieved the highest accuracy rates at 70%, surpassing other models. The Random Forest model followed closely with an accuracy score of 62%. Among the evaluated models, the Naive Bayes model demonstrated the lowest accuracy at 56%. We gathered information about 54 professional soccer players who are playing in the top five European leagues based on their career history. We gathered information about 54 professional soccer players who are playing in the top five European leagues based on their career history.

• Journal of Life Science
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• v.11 no.2
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• pp.135-139
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• 2001

The goal of this study was to find out the effective diet prescription for the exercises. To accomplish this purpose, we investigated the effect of free-fatty acid diet (FFAD) on two groups of the K technical high school soccer players; one group with 7 members for normal diet (NORD) and another group with 7 members for high-fat diet (HFD). HFD group was fed far three days before the game. Results were as follows: i) Blood glucose level was increased with statistical significance in HFD group (P<.01) compared to the NORD group. After plying game, the glucose level was increased in the both groups ii) The contents of free-fatty acid (FFA) was significantly increased in HFD group (P<.0001) compared to the NORD group. After playing game, the FFA level was also increased in both groups iii) The levels of T-C, HDL-C and LDL-C were slightly increased in both NORD and HFD groups after playing game, while the TG level was slightly decreased. However, the differences were not significant. These results imply that HFD may not affect the level of seam lipids. Overall, the level of glucose and FFA were increased, but other types of lpids were not changed. From these studies, we observed the increase in the level of glucose and FFA but not other sew lipid. These results indicate that HFD may induce the body energy-utilizing system during long-lasting exercise such as playing soccer game.

• Geomechanics and Engineering
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• v.33 no.6
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• pp.529-542
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• 2023

Wave propagation with high transverse deflection could affect the stability of the ball in its trajectory. For low stiffness balls similar to soccer and volleyball balls, the waves are more noticeable in comparison to other balls like ping-pong ball. On the other hand, the soccer balls are under heavy impact loads from shoots and contacting different objects in the field. The maximum recorded speed of a soccer ball after kicking is the 211 km/hr and the average maximum speed is around 112 km/hr. Therefore, in such speeds the aerodynamic forces become important which are directly related to geometrical shape of the ball. In this regard, the wave propagation in soccer ball is examined in the current study using large deformation shear deformable formulations. Classical relations of stress-strain components are taken into consideration along with minimum total energy principle. The final derived relations were solved by using harmonic differential quadrature method. The results are generally presented ion term of phase velocity as function of different influencing parameters of the materials, geometry and mass of the ball.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.621-624
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• 1997

This paper presents the design procedure for soccer-playing rovots based on the centralized approach. Using a fast vision system, we obtain the configuration of each robot and then the host computer computes the desired motion and commands each robot directly via RF communication. The robot soccer game has a lot of problems such as obstacle avoidance, coordination between robots, dribbling the ball, and so on. To implement such motions, we think that the centralized approach seems to be more powerful than the distributed approach. We describe the technical tips for developing the robots in detail here and explain our strategy for getting the scores.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.617-620
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• 1997

We have built a robot soccer system to participate in MIROSOT97. This paper represents hardware specification of our system and our strategy. We select a centralized on-line system for a soccer game. The paper explains hardware specifications of our system for later development. Also, the paper explains our strategy from two viewpoints. From the viewpoint of cooperation, some heuristic ideas are implemented. From the viewpoint of path plan, Cubic spline is used with cost function which minimized time, radius of curvature for smoothness, and obstacle potential field. Direct comparison will be realized in MIROSOT97.

• Annual Conference of KIPS
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• 2011.04a
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• pp.447-450
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• 2011

This paper shows the application of P-N Learning [4] method in the soccer ball detection and improvement for increasing the speed of processing. In the P-N learning, the learning process is guided by positive (P) and negative (N) constraints which restrict the labeling of the unlabeled data, identify examples that have been classified in contradiction with structural constraints and augment the training set with the corrected samples in an iterative process. But for the long-view in the soccer game, P-N learning will produce so many ferns that more time is spent than other methods. We propose that color histogram of each frame is constructed to delete the unnecessary details in order to decreasing the number of feature points. We use the mask to eliminate the gallery region and Line Hough Transform to remove the line and adjust the P-N learning's parameters to optimize accurate and speed.