• Journal of Sport and Applied Science
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• v.7 no.4
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• pp.13-18
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• 2023

Purpose: This study aims to determine what changes occur in body composition and performance by subjecting youth soccer players to weight training and combined training, which are known to be effective in improving anaerobic capacity, for 6 weeks. Research design, data, and methodology: This study was conducted on 30 high school soccer players from S City who had no current injuries or medical problems and had been registered as players with the Korea Football Association for more than 3 years. Subjects were divided into a weight training group (WTG, n=15) and a combined training group (CTG, n=15). Training lasted 6 weeks, and measurements were taken before and after training. Mean (M) and standard deviation (SD) were calculated to present the descriptive statistics of all dependent variables. Paired t-tests were used to test for within-group differences. Further, Independent t-tests were employed to test for between-group differences. Results: In terms of body composition, height significantly increased in WTG and CTG, and body fat percentage significantly decreased in CTG. As for performance, WTG's 20m sprint record decreased significantly. Conclusion: As a result, this study confirmed that weight training improved the 20m sprint ability of youth soccer players. Future research could provide more useful information by extending the study period and incorporating the physical characteristics of adolescents.

• Journal of the Korean Data and Information Science Society
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• v.25 no.4
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• pp.847-855
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• 2014

In recent years, women's monetary rewards in golf increased and their performances have improved significantly compared to other sports. Sports marketing has become more active in Asia and the number of Korean players in LPGA with good scores are increasing. For these reasons, golf is becoming increasingly popular. The prize money is higher than in other sports and the economic benefits are increasing due to the financial incentives such as sponsorships. Many of these prospects actively affect women's golf. Certain rookies continue to increase and their performances improve day by day. In this study, I analyze the changes in performance over time of last 5 years from 2009 using growth curve analysis. According to the results of analysis, driving distance and average putting skills developed but green in regulation decreased.

• The Korean Journal of Applied Statistics
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• v.33 no.5
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• pp.603-614
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• 2020

This study focuses on the prediction and factors of apartment prices in Seoul using a convolutional neural networks (CNN) model that has shown excellent performance as a predictive model of image data. To do this, we consider natural environmental factors, infrastructure factors, and social economic factors of the apartments as input variables of the CNN model. The natural environmental factors include rivers, green areas, and altitudes of apartments. The infrastructure factors have bus stops, subway stations, commercial districts, schools, and the social economic factors are the number of jobs and criminal rates, etc. We predict apartment prices and interpret the factors for the prices by converting the values of these input variables to play the same role as pixel values of image channels for the input layer in the CNN model. In addition, the CNN model used in this study takes into account the spatial characteristics of each apartment by describing the natural environmental and infrastructure factors variables as binary images centered on each apartment in each input layer.

• Journal of Korean society of Dental Hygiene
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• v.10 no.4
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• pp.695-703
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• 2010

Objectives : The purpose of this study was to investigate the maxillofacial injuries of the sports players' and analyzing the concerned factor. Methods : The subject in this study were 290 sports players' enrolled in Jeolla region. SPSS statistics program(Version 12.0) was used to analyzed the collectde data, Chi-square test and percentage were used as the analysis technique. Results : 1. It was found that 63.8% of all respondents ever experienced trauma in sport activities and 28.6% experienced maxillofacial trauma. 2. In terms of traumatic causality, it was found that most of our respondents attributed the biggest cause of maxillofacial trauma to 'sport activities.' 3. However, it was found that only 12.1% of all respondents gave correct answers to question items about good medical treatment for traumatic odontoptosis. 4. It was found that less than half of all respondents ever faced information on maxillofacial trauma. Conclusions : This finding suggests that it is required to build up current orientation programs about maxillofacial trauma for our sport players. The maxillofacial trauma of sport players' is a important factor that degenerate the quality of the oral health and bring about the change of life style.

• Korean Journal of Applied Biomechanics
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• v.33 no.3
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• pp.101-109
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• 2023

Objective: The aim of this study is to verify the differences in muscle characteristics of elite level swimmers before and after a 2-hour practice session. Method: The study was conducted on 15 elite swimmers. Preliminary measurements for each muscle (Anterior Deltoid, Triceps Brachii, Biceps Brachii, Flexor Carpi Ulnaris) were taken using the MyotonPRO device before training. After approximately 2 hours of training, the same muscle areas were measured again. The collected data was analyzed through descriptive statistics and two-way 2×2 RG·RM ANOVA, and all statistical significance levels were set at α=.05. Results: After analyzing the characteristics of the Flexor Carpi Ulnaris (FCU) before and after training in both proficiency level swimmers (excellent, non-excellent), it was found that the interaction effect of group X repetition in muscle tension (F), muscle stiffness (S), and body recovery time (R) was statistically significant. Secondly, in the analysis of the Biceps Brachii (BB), the main effect of repetition in muscle tension (F), muscle stiffness (S), and body recovery time (R) was statistically significant. Furthermore, the interaction effect of group X repetition in muscle stiffness (S) and body recovery time (R) was statistically significant. Conclusion: The efficient use of FCU and BB suggests that it is an important factor distinguishing the performance of excellent and non-excellent swimmers in swimming. Therefore, if we develop and apply measures to efficiently utilize FCU and BB during training, it can help improve the performance of the athletes.

• Journal of the Korean Society of Clothing and Textiles
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• v.24 no.4
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• pp.487-497
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• 2000

The purpose of this study was performed 1) to study the differences in advertisement expression and brand preference according to the lifestyle groups of high school girl students(Sports Uninterest Group, Friend Preference/Fashion Uninterest Group, Sports Preference/Horne Oriented Group. fashion Interest Group, and Confidence Group) and 2) to investigate the effects on the brand preference of adolescents of lifestyle, brand and advertisement image and advertisement expression forms. The subjects selected for the final analysis were high school girl students living in Pusan, Seoul and Taejeon, Korea. The statistics used for data analysis were factor analysis, one-way ANOVA, Duncan's multiple range test, stepwise multiple regression, frequency distribution and percentage by the SPSS program. The results of this study were as follows: 1. The preferences of advertising expression forms were significantly different among lifestyle groups: the Friend Preference/Fashion Uninterest Group preferred to sex appealing advertising expression form less than other groups. 2. The brand preferences were significantly different among lifestyle groups: the Confidence Group preferred brand less than other groups in general. 3. The brand preferences were affected by life style, brand and advertising image and preferences of advertising expression forms. And brand image influenced most significantly on the brand preferences.

• Journal of Distribution Science
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• v.17 no.8
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• pp.87-97
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• 2019

Purpose - This study focuses on the effectiveness of the athlete endorsement on the purchase intention of customers and investigates the attributes of the athlete identification. The Athlete Identification is defined by the expertise, trustworthiness, attractiveness, toughness and transgression. Athlete identification and athlete endorsement help marketers with a thorough look at the trend of using famous sports player to promote products. Research design and methodology - 450 questionnaires were delivered to respondents in Ho Chi Minh city and 433 were returned completed. Descriptive statistics, reliability, exploratory factor analysis, confirmatory factor analysis and structural equation modeling were conducted to test the relationship between independent and dependent variables. Results - The expertise, trustworthiness, attractiveness and toughness exert positive impacts on athlete identification. Transgression affects negatively athlete identification and athlete endorsement. This research confirmed results of previous studies. Conclusions - The athlete first needs to create their own Identification from a set of attributes in order to be out-standing in the sport and leisure industry before becoming an endorser for a particular product. From the company's perspectives, decision makers should choose an acclaimed sports player to boost the purchase intention of consumers.

• Journal of Korea Entertainment Industry Association
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• v.13 no.1
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• pp.99-109
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• 2019

The study was conducted to investigate the activities of working people in the sports club. The subject of this study was to take samples of workers who participated in the physical education system using the convenience sampling method. Out of a total of 400 questionnaires, 387 were used for research purposes, except for invalid or error questionnaires. Factor analysis and reliability tests were performed using IBM SPSS statistics Ver 21.0. Frequency analysis was conducted to explore the general characteristics of the study participants. An independent sample t-test ANOVA were conducted to verify differences among groups according to demographic characteristics, and a correlation analysis was conducted to examine the relationship between variables. Regression was performed to verify the effect of variable factors. The results of the study are as follows. First, there was no difference in wellness and job satisfaction according to gender. Second, there was no difference in wellness and job satisfaction according to sport. Third, there was a significant difference intellectual wellness according to age. In particular, 40s and 50s were higher than 60s and over. Fourth, there was a significant difference in social wellness according to activity duration. In particular, 1~2 years were higher than 3 years or more. Finally, If you look at the impact of working people's wellness lifestyle sports club activities on job satisfaction, the professional wellness lifestyle club activities showed significant influence on job satisfaction.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.8
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• pp.978-984
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• 2020

In this study, the correlation between sports records and weather data was analyzed using the big data analysis method. To this end, data was collected by API and crawling, data was processed, statistics were performed, and data visualization was performed. The subject of this study was a player who entered the regular at-bat among outfielders in the 2019 KBO League. In addition, meteorological data were analyzed by using the unpleasant index and above 70 and below 70. As a result of the study, in the various hitting indicators, which are the records that pitchers intervene, the higher the unpleasant index, the better the outfielder's record, but pitchers, walks, pitches, pitching success rates, pitches per turn, pitches per game From the records of the back, it was found that the outfielder made the pitcher difficult. It is expected that this study will help the development of the sports data industry and the performance of baseball players, baseball teams, and coaching staff.

• The Korean Journal of Applied Statistics
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• v.28 no.6
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• pp.1133-1146
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• 2015

The Horse race industry has the largest proportion of the domestic legal gambling industry. However, there is limited statistical analysis on horse races versus other sports. We propose prediction models for winning horses in horse races using data mining techniques such as logistic regression, linear regression, and random forest. Horse races data are from the Korea Racing Authority and we use horse racing reports, information of racehorses, jockeys, and horse trainers. We consider two models based on ranks and time records. The analysis results show that prediction of ranks is affected by information on racehorses, number of wins of racehorses and jockeys. We place wagers for the last month of races based on our prediction models that produce serious profits.