• Journal of Information Technology and Architecture
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• v.10 no.2
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• pp.251-261
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• 2013

The appearance of various mobile Internet environment access to existing networks of mobile devices is easier to tell. In addition, mobile device users to use the wireless environment than a wired environment, user profile information is readily available features. Mobile devices have features that use alone. These characteristics of mobile devices to apply the personalization service is the best system. This paper proposes for mobile device users a personalized mobile music content recommendation service. This service propose to utilizes the user's access history information using time-weighting and collaborative filtering. Access history information can find out information of user interest. Using this information, consider the preference of music genre and time-weighted based on the recommendations makes the music. This method the problem of the traditional music recommendation system, point user's favorite music genre is changing over time do not consider that to solve the problem.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.1
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• pp.27-32
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• 2019

Research that implements the classification process through Deep Learning algorithm, one of the outstanding human abilities, includes a unimodal model, a multi-modal model, and a multi-modal method using music videos. In this study, the results were better by suggesting a system to analyze each song's spectrum into short samples and vote for the results. Among Deep Learning algorithms, CNN showed superior performance in the category of music genre compared to RNN, and improved performance when CNN and RNN were applied together. The system of voting for each CNN result by Deep Learning a short sample of music showed better results than the previous model and the model with Softmax layer added to the model performed best. The need for the explosive growth of digital media and the automatic classification of music genres in numerous streaming services is increasing. Future research will need to reduce the proportion of undifferentiated songs and develop algorithms for the last category classification of undivided songs.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.167-168
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• 2014

Music has played an important role in Films. It develops the narrative of the movie and it emotionally pulls the audience into the film. In composing film music, you need to put a bigger emphasis on the Interrelationship between melody, rhythm and harmony. However, to create more tension in the genre of suspense or thrillers, it is possible to maximize the emotion with the acoustic sounds of particular musical instruments.

• Journal of Korea Game Society
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• v.17 no.6
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• pp.103-112
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• 2017

Street fighter II is a game that played an innovative role in the genre of fighting games in the 1990s. There are many elements that this game has played, but I would like to describe the character's background music. Is terms of sound, it is an excellent game with theme music suitable for twelve characters and voice that comes out when using each character's technique. Street Fighter II shows different patterns of background music depending on the charcater's fitness. I analyze it in harmonical way and try to study it form the perspective of music psychology.

• Journal of the Korean Society of Costume
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• v.51 no.5
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• pp.61-75
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• 2001

This study was intended to observe strategic fashion-presentation in Music stars according to the change of the star system in the Korean popular musics. The Korean Music stars since 1990s have been made, fabricated and have excessively depended on the demand of the teenagers. Therefore their distinctive fashion-presentation is considered as more important element than those of the past. Consequently. the characteristics of the fashion-presentation in the Korean Music star these days are as follows : First. Music stars shows fashion-presentation that has a consistent fashion theme. That is one of the key success factor to raise the recognition of star singer. Second. Music star produces fashion images which reflects identity and of subculture. Those appearance have won wild popularity of the Peeps 1990's new generation. Third. although there is no change music genre and emotion. through merely renovation of their fashion image, Music star got diversity and originality of the characteristics of contemporary cultural goods. Fourth. In case of famous dance groups, in the past they maintained a singular atmosphere as a group, but in 1990'Music star group each members of the group have individually fashion-presentation. So, they can get more fans. Fifth, Music singers borrow or duplicate fashion-presentation from each others. Such as similar fashion-presentation guarantees support of the same fans.

• Journal of Internet Computing and Services
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• v.23 no.2
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• pp.45-52
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• 2022

With the development of artificial intelligence analysis methods, especially machine learning, various fields are widely expanding their application ranges. However, in the case of classical music, there still remain some difficulties in applying machine learning techniques. Genre classification or music recommendation systems generated by deep learning algorithms are actively used in general music, but not in classical music. In this paper, we attempted to classify opera among classical music. To this end, an experiment was conducted to determine which criteria are most suitable among, composer, period of composition, and emotional atmosphere, which are the basic features of music. To generate emotional labels, we adopted zero-shot classification with four basic emotions, 'happiness', 'sadness', 'anger', and 'fear.' After embedding the opera libretto with the doc2vec processing model, the optimal number of clusters is computed based on the result of the elbow method. Decided four centroids are then adopted in k-means clustering to classify unsupervised libretto datasets. We were able to get optimized clustering based on the result of adjusted rand index scores. With these results, we compared them with notated variables of music. As a result, it was confirmed that the four clusterings calculated by machine after training were most similar to the grouping result by period. Additionally, we were able to verify that the emotional similarity between composer and period did not appear significantly. At the end of the study, by knowing the period is the right criteria, we hope that it makes easier for music listeners to find music that suits their tastes.

• The Journal of Industrial Distribution & Business
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• v.14 no.11
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• pp.11-18
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• 2023

Purpose: This study aims to respond to essential queries regarding significant impacts the Korean Wave had on the music business especially in light of K-pop's explosive growth on the international scene and how to transform Hallyu into the global dynamics of the music business. Also, the study investigates what degree of cultural bridging through Music's universal language has Kpop achieved beyond its status as a purely musical genre. Research design, data and methodology: For the process of data collecting, the current investigators used a combination of keywords and controlled vocabulary terms to conduct in-depth searches across reputable academic databases, including PubMed, Scopus, Web of Science, and Google Scholar. Keywords are significant in searching databases such that the desired articles can be sought out wiith the keywords "Korean Wave," "Hallyu," and "music industry,". Results: The investigators found the globalization of K-pop, diverse audience engagement, digital transformation, and cultural exchange through Music as four critical effects of the Korean Wave on the music business. Conclusions: Lastly, this study concludes that As we end our investigation into Hallyu's effects on the music business, it is clear that Korean Music's cultural impact and international appeal have created new opportunities and particular difficulties for both professionals and artists.

• Proceedings of the IEEK Conference
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• 2002.07c
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• pp.1527-1530
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• 2002

Video summary is one of the tools which can provide the fast and effective browsing fur a lengthy video. Video summary consists of many key-frames that could be defined differently depending on the video genre it belongs to. Consequently, the video summary constructed by the uniform manner might lead into inadequate result. Therefore, identifying the video genre is the important first step in generating the meaningful video summary. We propose a new method that can classify the genre of the video data in MPEG compressed bit-stream domain. Since the proposed method operates directly on the com- pressed bit-stream without decoding the frame, it has merits such as simple calculation and short processing time. In the proposed method, only the visual information is utilized through the spatial-temporal analysis to classify the video genre. Experiments are done for 6 genres of video: Cartoon, Commercial, Music Video, News, Sports, and Talk Show. Experimental result shows more than 90% of accuracy in genre classification for the well-structured video data such as Talk Show and Sports.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.989-990
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• 2008

Most of all popular music is made by genre and specification of music according to age group. Generally Young people of $10{\sim}20$ ages like dance and techno, But old people over 40 age like trot. In this paper, we analyzed characteristic of music which people preferred by an age group. Without relevance with age, we could confirm the factor of music which popular in all age group by analyzing. The common factor of music all of age group liked are slow word, fast beat, repeated and simple melody, and characteristic of frequency in affluent middle tone.

• Culinary science and hospitality research
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• v.16 no.3
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• pp.114-129
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• 2010

The purpose of this study is the suggestion of tempos and genres to make a effective mood in a hotel and restaurant. As a result of this study, it was verified which genre and tempo is the most effective at each case of various restaurant. The result of this study shows that the genres and tempos of background music effect to a mood of customer, and a satisfaction related to a return visit and a recommendation. This paper offer a useful method when a manager want to change a ambience of business place. For example, a manager will be able to choose a change of background music instead of remodeling requiring much money. At the other case, a manager will be able to maximize a expression effect of business concept as following the suggestion of this study. This thesis suggests how a managers can simultaneously achieve a customer's satisfaction and a financial benefit by selection of music.