• Proceedings of the KAIS Fall Conference
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• 2011.12a
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• pp.18-20
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• 2011

한류 문화를 비롯해 방송사들에서 시행하는 각종 오디션 프로그램들로 인해 대중음악계가 상당히 부각되고 있다. 이러한 가요계의 발전과 더불어 가수가 되고자 하는 지망생들이 급격히 증가하였는데, 아직은 이들을 가르치고 훈련을 받을 수 있는 교육적인 여건이 미비하다. 본 논문은 가수지망생, 즉 보컬이 기복적으로 갖추어야 할 호흡과 발성법에 관한 논문이다. 호흡과 발성은 노래를 잘하기 위한 과정이지만, 노래를 잘하기에 앞서 목소리를 크게 만들고 라이브 공연 시 목소리를 안정적으로 내기 위한 필수적인 요건이다. 명성에 비해 라이브 실력이 부족한 가수들을 흔히 볼 수 있는데 이것이 모두 호흡과 발성훈련을 소홀히 해서 생긴 결과이다. 따라서 본 논문에서는 크고, 안정적인 목소리를 만들기 위한 발성훈련 방법에 대해 알아보는 논문이다.

• Knowledge Management Research
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• v.20 no.3
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• pp.155-171
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• 2019

In the entertainment industry which has great uncertainty, it is essential to predict public preference first. Thanks to various mass media channels such as cable TV and internet-based streaming services, the reality audition program has been getting big attention every day and it is being used as a new window to new entertainers' debut. This phenomenon means that it is changing from a closed selection process to an open selection process, which delegates selection rights to the public. This is characterized by the popularity of the public being reflected in the selection process. Therefore, this study aims to implement a machine learning model which predicts the winner of , which has recently been popular in South Korea. By doing so, this study is to extend the research method in the cultural industry and to suggest practical implications. We collected the data of winners from the 1st, 2nd, and 3rd seasons of the Produce 101 and implemented the predictive model through the machine learning method with the accumulated data. We tried to develop the best predictive model that can predict winners of by using four machine learning methods such as Random Forest, Decision Tree, Support Vector Machine (SVM), and Neural Network. This study found that the audience voting and the amount of internet news articles on each participant were the main variables for predicting the winner and extended the discussion by analyzing the precision of prediction.

• The Korean Journal of Applied Statistics
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• v.30 no.6
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• pp.809-825
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• 2017

The number of TV entertainment shows is increasing. Competition among programs in the entertainment market is intensifying since cable channels air many entertainment TV shows. There is now a need for research on program ratings and the number of episodes. This study presents predictive models for entertainment TV show ratings and number of episodes. We use various data mining techniques such as linear regression, logistic regression, LASSO, random forests, gradient boosting, and support vector machine. The analysis results show that the average program ratings before the first broadcast is affected by broadcasting company, average ratings of the previous season, starting year and number of articles. The average program ratings after the first broadcast is influenced by the rating of the first broadcast, broadcasting company and program type. We also found that the predicted average ratings, starting year, type and broadcasting company are important variables in predicting of the number of episodes.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.5
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• pp.180-187
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• 2021

Many young people, who are most affected by TV audition programs and the K-pop craze, have begun to choose careers in music. They attended music classes through academies or took private lessons, and then went on to a college's practical-music department. As the number of applicants increased, competition for university practical-music programs increased abnormally. As a result, many students then started learning music at an early age through private educational institutions and academies. Afterwards, as high schools related to practical music began to appear, the number of students entering practical-music high school and technical schools increased. However, a big problem in practical-music high schools was difficulty in finding professional teachers who majored in music. This arose because it was difficult for someone with a practical-music major to acquire a full-time teaching certificate. There are many ways to obtain a teacher's license, but the only option for practical-music majors is to graduate from the Graduate School of Education. However, since the Graduate School of Education is limited to classical and traditional music, admission itself is difficult. Even if someone is accepted by the school, most of the courses consist of classical music and traditional music education, which is very difficult for someone who majored in practical music. Therefore, in this thesis, we study the current situation in practical-music high schools, looking at why a regular Level 2 teaching certificate is needed and how to obtain one.