• Journal of the Korean Institute of Intelligent Systems
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• v.13 no.5
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• pp.590-595
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• 2003

In this paper, we propose a new method to the speed control of soccer robot using messy Genetic Algorithm(mGA). In order to arrive in the target of the soccer robot within the smallest time ,we propose the speed control function with several parameters which represent the reflection ratio distance and angle error. Also, we propose the algorithm for searching these parameters by using messy Genetic Algorithm. As a result of finding the optimal parameters, we can move the robot the most quickly in the target under the complex environment.

• 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.

• Proceedings of the KIEE Conference
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• 1999.07g
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• pp.2998-3000
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• 1999

Robot soccer is a challenging research area in which multiple robots collaborate in adversarial environment to achieve specific objectives. We designed and built the robotic agents for robot soccer, especially MIROSOT. We have been developing the appropriate vision algorithm, algorithm for ball tracking and prediction, algorithms for collaboration between the robots in an uncertain dynamic environment. In this work we focus on the development of ball tracking and prediction algorithm using Kalman filter. Robustness and feasibility of the proposed algorithm is demonstrated by simulation.

• Journal of the Korean Institute of Landscape Architecture
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• v.13 no.1
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• pp.123-130
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• 1985

In this study, the distribution of players on a soccer field was investigated with slide -photos in order to suggest a basic data for the athletic turf maintenance and construction. The results of this investigation may be summarized as follows. 1) There's a tendency that trampling frequency per grid (32.23m$^2$)of a soccer field gradually increases from the corner area to the center. Especially the area around goal and center-circle get the highest frequency. 2) Trampling numbers per grid show the similar tendency to trampling fequency. And the grid around the goal get the highest trampling number per grid.(6.52 times/32.23m$^2$). 3) The extent of the damage to the athletic turf per grid also show the similar tendency to the foregoing results. Under such extent of the damage to the athletic turf as these, the method of the turf maintenance and construction will be made.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.59.2-59
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• 2001

This paper presents an evolvable cooperation strategy based on a genetic programming for the interactive robot soccer game. The interactive robot soccer game has been developed to allow a person to join in the game dynamically and to reinforce entertainment characteristics. In this game, a cooperation strategy between humans and autonomous robots is very important in order to make the game more enjoyable. First of all, necessary action sets for the cooperation strategy and its strategy structure are presented. In the first stage, a blocking action that an autonomous robot cut off an enemy robot from disturbing the way of the human controlled robot has been considered. The success probability of the blocking action has beer obtained in ...

• International journal of advanced smart convergence
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• v.8 no.2
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• pp.88-93
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• 2019

This study explores one of charity drive contents on YouTube channel. Due to the advance of science and technology, ordinary people come to make their own video content online, usually via YouTube. YouTube becomes number one online video storage/streaming platform, and many people upload their own video and they get attention and fame. This study analyzes various aspects of Shoot for Love, soccer-based charity drive videos shown on YouTube channel created in South Korea. Unlike popular videos in YouTube, Shoot for Love centers on charity by casting popular soccer players and celebrities. Especially, this study researches 1) Components 2) Traits of Components 3) Contents of Components in Shoot for Love. Throughout this, it not only analyzes unique aspects of Shoot for Love that show how and why YouTube content matters, but also suggest plausible methods to drive charity and institution are suggested that appeal to the public.

• 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.

• Journal of Broadcast Engineering
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• v.11 no.2 s.31
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• pp.207-221
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• 2006

A fully automatic and computationally efficient method is proposed for intelligent display of soccer video on small multimedia mobile devices. The rapid progress of the multimedia signal processing has contributed to the extensive use of multimedia devices with a small LCD panel. With these emerging small mobile devices, the video sequences captured for standard- or HDTV broadcasting may give the small-display-viewers uncomfortable experiences in understanding what is happening in a scene. For instance, in a soccer video sequence taken by a long-shot camera technique, the tiny objects (e.g., soccer ball and players) may not be clearly viewed on the small LCD panel. Thus, an intelligent display technique is needed for small-display-viewers. To this end, one of the key technologies is to determine region of interest (ROI), which is a part of the scene that viewers pay more attention to than other regions. In this paper, the focus is on soccer video display for mobile devices. Instead of taking visual saliency into account, we take domain-specific approach to exploit the characteristics of the soccer video. The proposed scheme includes three modules; ground color learning, shot classification, and ROI determination. The experimental results show the propose scheme is capable of intelligent video display on mobile devices.

• Journal of Life Science
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• v.22 no.11
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• pp.1444-1450
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• 2012

The purpose of the present research is to investigate the effects of acute soccer game on serum levels of neurotrophins and neurocognitive function. The subjects of the research were 15 healthy male adolescents. The subjects underwent two experiments: one experiment in the soccer game treatment (SOC) condition, and the other in the self-study treatment (CON) condition. Blood samples were collected at three times: before treatment (Pre), after treatment (Post), and 2 hours post treatment (Post-2 h) for the analyses of serum brain-derived neurotrophic factor (BDNF), nerve growth factor (NGF), and insulin-like growth factor-1 (IGF-1). For the measurements of neurocognitive functions, the Stroop Color-Word test was performed at blood collecting times. The results of the research showed that the serum levels of BDNF, NGF, and IGF-1 were significantly increased after the soccer game (p<0.05), and significantly higher in SOC than CON at Post (p<0.05). In the Stroop Color-Word test, significantly increased scores were observed in SOC at Post (p<0.05), and significantly higher in SOC than in CON at Post and Post-2 h (p<0.05). These results suggest that acute soccer game has positive effects on neurocognitive functions by increasing the neurotrophins.

• Journal of the Korean Applied Science and Technology
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• v.37 no.6
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• pp.1575-1582
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• 2020

This study aimed to provide basic data for establishing advertising strategy based on the value and implications of the image of the player by examining the influence of the image of a soccer player on the advertising effect. Therefore, a domestic soccer player selected as a sample the production population who experienced the advertisement selected as a model, and conducted a face-to-face (face-to-face) and non-face-to-face (mobile) survey for about 5 months from May 1 to September 30, 2020. Data from a total of 402 people were used for the final analysis. For data processing, frequency analysis, internal consistency and exploratory factor analysis, correlation analysis, and multiple regression analysis were performed using the SPSS (ver. 21.0) program. The main results of this study are as follows. First, it was found that the soccer player image impact the brand attitude of the advertising effect in the order of body and appearance, performance, reliability, attitude and morality. Second, it was found that the soccer player image impact the advertising attitude of the advertising effect in the order of performance, attitude and morality, body and appearance, reliability.