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4차 산업시대의 스포츠 분야 트렌드 분석 : 뉴스 토픽모델링 분석을 중심으로
이근(LI GEN),이성노(Lee, Seong-No) 한국체육과학회 2023 한국체육과학회지 Vol.32 No.3
The purpose of this study is to explore issues in sports-fourth industry related news articles by applying text network and topic modeling analysis. The scope of the study is all domestic news reports from 2016, when the concept of the Fourth Industrial Revolution was first raised, to the present (2016-2022). The research method was conducted through text mining, news topic modeling, and social network visualization using Bigkinds and Netminer programs. For topic modeling analysis, the LDA algorithm MCMC method was applied, and topic perplexity was set as an index for optimal number of topics. The conclusions of this study are as follows. First, the high-ranking words in news articles related to sports-4th industry are ‘골프’, ‘우승’, ‘축구’, ‘중국’, ‘구굴’, ‘알파’. In the word cloud, it occupies a high proportion among the key words ‘이세돌’, ‘인공지능’, and ‘바둑’. Second, sports-fourth industry (artificial intelligence) game result prediction and artificial intelligence technology-based monitoring system are major news reports. Sports - (Big Data, Virtual Reality) All of them carry out major research interests in the broadcasting of sports events. Its main research areas include motion guidance, rehabilitation, and training for sports-(wearable) athletes. Third, the technology of the 4th industrial revolution is already subdivided into each area of physical education, and there are positive contents such as the prospect of macroscopic utilization according to technology introduction, and the threat of job paradigm change and replacement of existing jobs is also explained.
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한국과 중국 프로 축구관중의 비디오 판독에 대한 인식이 관람만족 및 재 관람의도에 미치는 영향
이근(LI GEN),이성노(Lee, Seong-No) 한국체육과학회 2023 한국체육과학회지 Vol.32 No.6
This study elucidated the differences in perceptions of video refereeing among audiences from two countries Korea and China and the relationship between viewing satisfaction and intent to re-watch. By verifying the moderating effect of the country on the relationship between the perception of video refereeing and the intent to re-watch, we provided suggestions for efficient video replay utilization in sports organizations like professional soccer, aiming for practical purposes. For this research, fans with professional soccer viewing experiences were selected. Data from a total of 622 respondents from Korea and China were collected and analyzed using SPSS 26.0 and AMOS 26.0. The SPSS PROCESS macro model 5 was used to verify the moderating effect. The results are as follows: The perception of video refereeing among professional soccer fans had a significant impact on viewing satisfaction. The perception of video refereeing among professional soccer fans had a significant influence on the intent to re-watch. The viewing satisfaction of professional soccer fans had a significant impact on the intent to re-watch. Overall, the perception of the timeliness of video refereeing was the most influential factor on viewing satisfaction for audiences from both countries. Moreover, for Korean audiences, the fairness of video refereeing had the greatest impact on the intent to re-watch, while trustworthiness was deemed important for the Chinese audience.
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황수걸 ( Shuai-jie Huang ),이근 ( Gen Li ),이일병 ( Yill-byung Lee ) 한국정보처리학회 2011 한국정보처리학회 학술대회논문집 Vol.18 No.1
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.
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