• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.205-211
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• 2020

The public knows the singer Shin Haechul as a musician who performs various musical activities as a producer, singer, and songwriter. However, he was also an all-encompassing entertainer who has been involved in different fields of popular media. His musical tendency is very progressive, and he pursues various attempts to create experimental fusion style music. Among his albums, 'MonoCrom' is the result of a combination of unique techno music and traditional music, and this album is known to bring the level of Korean popular music one step further in terms of musical value and meaning towards a new, unique sound. In this album, gukak holds great importance. In addition to the traditional samulnori instruments such as kkwaenggwari, janggu and jing, instruments like daegeum, taepyeongso, pumba and taryeong were used to show more progressive and expanded crossover music through the collaboration with gukak. In order for the current 'K-Pop' to continue to gain worldwide popularity, it needs a new attempt based on musical expandability. Therefore, if gukak is used as in the album MonoCrom, unique and differentiated music will be created, and will continually promote the worldwide interest in 'K-Pop'.

• 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.

• Journal of Music and Human Behavior
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• v.5 no.2
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• pp.41-66
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• 2008

This study investigated the effects of traditional percussion improvisation to hearing-impaired college students who are under stress. For the research, between 21 to 22 years old four hearing-impaired college students, who could do lip reading, were chosen. In quantity program, improved version of college student stress measuring method which invented by Gyoung-gu Jun and Gyo-hyeon Kim(1991) were applied, and graphs has been used for analysis. In quality program, for reliability, the researcher and two music therapists observed and analysed it. The period of research was from Dec 26, 2007 to Feb 21, 2008. There were total twenty sessions and two sessions were assigned for each week. One was 40 minutes individual session, and the other one was 50 minutes group session. Even though auditory function is critical in music playing or listening, this study showed the positive results of the therapeutic use of music on stress management for college students with hearing impairment. Future studies are important to continue to investigate the effectiveness of music therapy for hearing impaired clients who are under stress with various age range.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.6 no.2
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• pp.95-106
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• 2007

This paper proposes an effective tempo feature extraction method for music information retrieval. The tempo information is modeled by the narrow-band temporal modulation components, which are decomposed into a modulation spectrum via joint frequency analysis. In implementation, the tempo feature is directly extracted from the modified discrete cosine transform coefficients, which is the output of partial MP3(MPEG 1 Layer 3) decoder. Then, different features are extracted from the amplitudes of modulation spectrum and applied to different music information retrieval tasks. The logarithmic scale modulation frequency coefficients are employed in automatic music emotion classification and music genre classification. The classification precision in both systems is improved significantly. The bit vectors derived from adaptive modulation spectrum is used in audio fingerprinting task That is proved to be able to achieve high robustness in this application. The experimental results in these tasks validate the effectiveness of the proposed tempo feature.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.337-345
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• 2018

This paper examines the comprehensive problems concerning education and policy in applied music through the foundation of academy. Today, we can receive information that developing popular music of actual domain is arrived at considerable level. However, a theoretical base remains lacking and this continues to impede development. I separated the education to branch and researched intensively because the problems of these are very serious and important matter. I proceeded research by mean of primary improvement that classified into two ways. First is education. I reviewed problems in various subjects, including curriculum, textbook, teacher certification examination and the lack of research and books available. Second is policies. I mainly considered the NCS which is a recent debated topic. Finally, we suggest the establishment of a research institute as a solution for these subjects. In this paper, we propose solutions such as the establishment, purpose, as well as the necessities and roles of academy. In conclusion, we propose suggestions for addressing problems associated with current policies and ways of developing popular music.

• Journal of Oriental Neuropsychiatry
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• v.22 no.1
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• pp.1-12
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• 2011

Objectives : This study was conducted to assess effects of oriental medicine music therapy on heart rate variability(HRV) in normal subjects under mental stress. Methods : 34 healthy volunteers(control group:17, experimental group:17) participate in this study. The volunteers were randomly allocated into two groups. After 10-minutes rest period and instrumentation, both groups performed a mental stress test for 12-minutes. HRV was recorded before and after the mental stress. And then the experimental group applied oriental medicine music therapy for 10-minutes. In the control group, they rested for 10-minutes. And HRV was recorded. Results : After giving mental stress stimulation to both groups, LF and LF/HF ratio were significantly increased and HF, mean HRV were decreased. In experimental group, LF, LF/HF ratio were significantly decreased and HF, SDNN were significantly increased after applying oriental medicine music therapy. In control group, LF was significantly decreased. And LF/HF ratio was decreased and HF, SDNN were increased, but it was not significant. Conclusions : This results show that oriental medicine music therapy could be relatively useful to decrease sympathetic activity and prevent the alteration of autonomic nervous system due to mental stress.

• Journal of IKEEE
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• v.24 no.1
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• pp.339-346
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• 2020

In this paper, we propose an angle estimator that is designed to be applied to Bluetooth low-power application technology based on multiple signal classification (MUSIC) algorithm, and present the result of implementation in FPGA. The MUSIC algorithm is designed for H/W high-speed design because it requires a lot of calculations due to high accuracy, and the snapshot variable is designed to cope with various resolution requirements of indoor systems. As a result of the implementation with Xilinx zynq-7000, it was confirmed that 9,081 LUTs were implemented, and it was designed to operate at =the operating frequency of 100MHz.

• 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.

• Advanced Industrial SCIence
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• v.1 no.2
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• pp.9-16
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• 2022

This study was a randomized before-and-after design of 17 subjects in the experimental group and 17 subjects in the control group to investigate the effects of listening to relaxing music on the mood state and autonomic nervous system, that is, heart rate of hospitalized patients with mental illness. The collected data were analyzed with SPSS V15.0. There was a statistically significant difference between the two groups in mood state and autonomic nervous system, that is heart rate and the effect of listening to relaxation music was objectively verified(<.05). among the subdomains of mood states, tension(<.00), depression (<.00), vitality (<.03), fatigue () <.01), excluding anger (>.39) and confusion (>.33) showed a significant difference, proving that it is an effective intervention method applied to hospitalized mentally ill patients. In the future, we would like to suggest long-term intervention research and development and application, and research on the effect of mood change and heart rate using individual preferred music.

• Proceedings of the Korea Contents Association Conference
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• 2006.11a
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• pp.792-795
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• 2006

In this paper, we examined the influence for a new learning method using on-line e-learning education model in the field of music appreciation. We applied this loaming method to the field of motive induction, the expectation of learning effect and the increase learning will through mesuring the student's pulse change in the learning class. We analysed the influence of interesting rate and emotional stability in the field of music appreciation.