• Fashion & Textile Research Journal
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• v.23 no.6
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• pp.726-743
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• 2021

This study tried to examine the fashion design and style of representative K-Pop boy groups BTS and SEVENTEEN appearing on music shows. The data collection was conducted on 4 music programs(Inkigayo, Music Bank, Show! Music Core, M COUNTDOWN) and YouTube(www.youtube.com) for each boy who worked for 5 years from January 2016 to December 2020. Result analysis utilized the stage scenes and music videos of the title songs of BTS and Seventeen. As for the fashion design and style characteristics of BTS, it was found that overall, the color, pattern, and decoration of the bottom were minimized, and the style was changed mainly by the top of the denim pants. As for Seventeen's fashion design and style characteristics, it was analyzed that plain simple slacks, bright and modest chromatic colors, and geometric and stylistic patterns with street retro sensibility were relatively emphasized, and natural and romantic images appeared a lot. As a result of examining the differences in fashion design and style characteristics between BTS and Seventeen, significant differences were found in color, tone, color scheme, material type, material combination, detail, trimming, pattern, accessories, and fashion image. Overall, it was found that both groups minimized the use of decorative elements such as patterns, details, and trimmings.

• The Journal of the Korea Contents Association
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• v.20 no.8
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• pp.88-100
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• 2020

This is an exploratory study based on the literature reviews which examined the possibilities and necessities of multimodal writing curriculum for liberal education. The purpose of this study is to analyze the existing research results which utilized the teaching methods associating music and writing, and to find the educational implications, and finally in terms of writing education, to suggest the possibilities of writing classes' convergent forms with music extracted from the results of the existing studies. Those studies were categorized to four patterns: WAC, effects of therapy, materials for writing, and new literacy. Based on Meyrowitz's perspective, firstly music can be utilized as a circumstance, which means a teacher can indirectly take the emotional, reminding, and healing effects of background musics. Secondly, music can play an important role of materials in thinking and writing, which is the most generally utilized pattern today. The effects are found in all of affective, cognitive, and strategic domains by utilizing music as a sort of reading materials. Thirdly, the convergent writing of music and narrative is suggested. Music is an independent language that can interact with narrative and construct text meanings in this kind of writing classes. These three dimensions of convergence have different perspectives, but sometimes occur at a same time or as a connected pattern. This study proposes that writing teachers need to improve their competence in music as well and to have professional concerns and efforts to develop their convergent writing teaching skills with music for these classes. Finally, this study stresses that team teaching can be an alternative for them.

• Journal of the Korea Society of Computer and Information
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• v.11 no.5 s.43
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• pp.69-74
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• 2006

The recent development of multimedia content-based retrieval technologies brings great attention of musician retrieval using features of a digital audio data among music information retrieval technologies. But the indexing techniques for music databases have not been studied completely. In this paper, we present a musician retrieval technique for audio features using the space split methods in the time-series pattern index file. We use features of audio to retrieve the musician and a time-series pattern index file to search the candidate musicians. Experimental results show that the time-series pattern index file using the rotational split method is efficient for musician retrievals in the time-series pattern files.

• 한국HCI학회:학술대회논문집
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• 2008.02a
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• pp.618-622
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• 2008

In this paper, we suggest new music composition algorithm based on fractal theory. User can define and control fractal shape by setting an initial state and production rules in L-System. We generate an asymmetric fractal tree based on L-System and probability. Then a music is generated by the fractal tree image using sonification techniques. We introduce two composition algorithm using the fractal tree. First, monophonic music can be generated by mapping x and y axis to velocity and pitch, respectively Second, harmonic music also can be generated by mapping x and y axis to time and pitch, respectively Using our composition algorithm, user can easily generate a music which has repeated pattern created by recursive feature of fractal, and a music which has structure similar to fractal tree image.

• Journal of the Korean Society of Costume
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• v.64 no.6
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• pp.148-160
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• 2014

This study proposed the design development of performance uniform for Korean classical music. To do this, we considered the state of the performance uniform of the Korean Classical Music Band through photographic data. The research targeted the performers in Korean Classical Music Band, and conducted a survey for the preference of type, pattern, decoration, color and fabric materials. Based on the results, we extracted the design of performance uniform, which is suitable for the environment of Korean classical music performance and meets the substantial requirements of performers. The performance uniform that the current national or public Korean classical music bands are using, has two types: Western clothing and Hanbok. The attire is influenced by the genre of the music that they are playing because one of its main functions is to deliver the music to audience effectively. In addition, there are some differences in the uniform based on the gender, but no division in the design of clothing according to music instruments. However, the result of the survey show that there was no difference in preference by gender, but there was some difference according to the division of music instruments. On this study, we reflected this result in the design, and proposed the design of an convenient outer garment for everyone to wear in the music performance band.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.212-217
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• 2018

Shin Hae-Chul's music opened a new horizon in the Korean pop music market where only popular music is produced and the music of a similar genre or pattern is mainstream, which has dissolved the complaints of the public who longed for new music. He experimented with his musical potential every time he released his work, which received favorable reviews in that he raised the level of Korean pop music. To solve the unstable factors in today's pop music, it is important to appeal to the public by capturing quality work through continued studies and creative activities. In that context, the attitude of "Next" is led by the late Shin Hae-Chul, and his qualities as an artist greatly contributed to the development of Korean pop music. This indicates that if musicians strive to develop themselves, and strengthen their creative ability to make bold and new attempts, Korean pop music will lead to another fashionable "K-pop" and will open up a new horizon.

• Trans-
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• v.13
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• pp.35-58
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• 2022

This study predicts the paradigm shift that the development of artificial intelligence technology will bring to the production of music content, and suggests that works created through collaboration between artificial intelligence and humans can have artistic value as finished products. Anyone can easily produce music content using artificial intelligence composition programs, and it has become an opportunity to inspire artists with various attempts and creative ideas. Although artificial intelligence technology provides convenience in human life and benefits a lot in the efficient aspect of work, it is difficult to escape the perception of data-based pattern music in the art field so far. Pattern music with many quantitative elements is not recognized as a complete creation due to the absence of abstract symbolism or meaning pursued by art. However, it predicts that if qualitative elements such as emotions and creativity are given to artificial intelligence music through human collaboration, it can be recognized as a complete work of art. The development of artificial intelligence technology increases access to culture and art from the public, and it can be expected that anyone can enjoy it as well as aesthetic experiences. In addition, various contents can be produced by improving individual digital literacy, and it is an opportunity to share and communicate with others. As such, artificial intelligence technology serves as a medium connecting the public with culture and art, and is narrowing the gap between humans and technology through art activities. Along with this cultural phenomenon, we predict the possibility of research on the production of artificial intelligence music contents with artistic value and the development of various convergence and complex art contents using artificial intelligence technology in the future.

• The Journal of the Acoustical Society of Korea
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• v.24 no.3
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• pp.178-185
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• 2005

This paper presents a new music identification method using probabilistic and dynamic characteristics of melody. The propo3ed method uses pitch and MFCC parameters as feature vectors for the characteristics of music notes and represents melody pattern by pitch histogram and temporal sequence of codeword indices. We also propose a new pattern matching method for the hybrid method. We have tested the proposed algorithm in small (drama OST) and broad (1.005 popular songs) search spaces. The experimental results on search areas of OST and 1,005 popular songs showed better performance of the proposed method over conventional methods. We achieved the performance improvement of average $9.9\%$ and $10.2\%$ in error reduction rate on each search area.

• The KIPS Transactions:PartA
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• v.10A no.6
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• pp.737-748
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• 2003

With the popularity of digital music contents, querying and retrieving music contents efficiently from database has become essential. In this paper, we propose a Fast Melody Finder (FMF) that can retrieve melodies fast and efficiently from music database using frequently queried tunes. This scheme is based on the observation that users have a tendency to memorize and query a small number of melody segments, and indexing such segments enables fast retrieval. To handle those tunes, FMF transcribes all the acoustic and common music notational inputs into a specific string such as UDR and LSR. We have implemented a prototype system and showed on its performance through various experiments.

• The Transactions of the Korea Information Processing Society
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• v.5 no.1
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• pp.1-11
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• 1998

This paper describes design and implementation of the system that is used to efficiently retrieve music information at a digital music library. Unlike typical music information retrieval systems, this system allows the user to sing a part of the melody through the microphone which he/she wants to find rather than using title, composer or the subject catalog to search. The system then recognizes the musical notes information through the signal processing of the sounds of the entered melody, and the intervals contour is created based on this information and used as a search pattern. By running the proposed notes string search algorithm that uses the musical notes information processed with the user input, and it produces the approximate search results. Therefore, users are able to retrieve and appreciate the music whenever he/she can sing any portion of the desired music.