• Korean Management Science Review
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• v.25 no.2
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• pp.13-23
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• 2008

Top music 10 is a additional service product of the A mobile telephone company. Up to now, A company is just selling it by outbound TM to customers which visit any contents of Top Music 10. In this paper, we proposed a targeting method combining two score models by data mining. The proposed combining model is to find customers more likely to respond to outbound TM. The proposed targeting method is expected to improve both from 32.8% to 44.0% in the response rate and from 54.7% to 61.4% in the retention rate.

• Journal of Korea Game Society
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• v.15 no.2
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• pp.115-122
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• 2015

In this paper we propose a serious game for experience of music performance, which allows users to readily enjoy musical playing, even if the player has little or no experience in playing musical instruments. This game makes it easier for users to correctly perform given melodies along with standard performance, using a score-adjusting algorithm that can cope with the particular errors commonly made by beginners. This music performance is achieved by the agent to interpret the gestural sign of the user. We understands the interaction of the user and the agent as a communication model from the Peircean Semiotic perspectives.

• Journal of Information Processing Systems
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• v.20 no.1
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• pp.13-23
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• 2024

Music brings pleasure and relaxation to people. Therefore, it is necessary to classify musical genres based on scenes. Identifying favorite musical genres from massive music data is a time-consuming and laborious task. Recent studies have suggested that machine learning algorithms are effective in distinguishing between various musical genres. However, meeting the actual requirements in terms of accuracy or timeliness is challenging. In this study, a hybrid machine learning model that combines a deep residual auto-encoder (DRAE) and support vector machine (SVM) for musical genre recognition was proposed. Eight manually extracted features from the Mel-frequency cepstral coefficients (MFCC) were employed in the preprocessing stage as the hybrid music data source. During the training stage, DRAE was employed to extract feature maps, which were then used as input for the SVM classifier. The experimental results indicated that this method achieved a 91.54% F1-score and 91.58% top-1 accuracy, outperforming existing approaches. This novel approach leverages deep architecture and conventional machine learning algorithms and provides a new horizon for musical genre classification tasks.

• 재활복지
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• v.20 no.1
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• pp.113-130
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• 2016

The purpose of this study is to determine the effects of guided imagery activities using music on both mood states and physiological responses of psychiatric inpatients. The experimental group was consisted of 27 psychiatric patients participating in the guided imagery activities using music for 11 minutes. Also, the control group was formed with 27 psychiatric patients with non-musical intervention. Mood states, blood pressure, pulse and skin temperature were checked before and after session. We could see the significant difference in the score of five areas-tension, depression, anger, vigor, fatigue-showed most differences in score. Also, the score of skin temperature of both experimental group and between two groups showed significant differences, too. Therefore, we can conclude that these results were showing that guided imagery activities using music was an effective nursing intervention method for altering mood state of psychiatric patients. Besides, it seemed to have physiological impact to make patients relax tension backed up by change of skin temperature.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.413-415
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• 2021

Piano is one of the most beloved instruments in the world and is used a lot for children to learn music because it is simple to play. As a result, various products for children, such as toy pianos, were released. However, there is a lack of piano skills for music education, such as how to play the piano or read the score. To solve this problem, in this paper, we propose a game-style educational piano using Arduino. It is expected to capture fun and education at a low price by scoring points by displaying the score on the LCD screen and pressing the keyboard according to the timing of playing the note.

• Journal of Digital Contents Society
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• v.11 no.2
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• pp.235-242
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• 2010

Differently from instruments which synthesized sounds and tones in the past, voice synthesis engine for music production has reached to the level of creating music as if actual artists were singing. It uses the samples of human voices naturally connected to the different levels of phoneme within the frequency range. Voice synthesis engine is not simply limited to the music production but it is changing cultural paradigm through the second creations of new music type including character music concerts, media productions, albums, and mobile services. Currently, voice synthesis engine technology makes it possible that users input pitch, lyrics, and musical expression parameters through the score editor and they mix and connect voice samples brought from the database to sing. New music types derived from such a development of computer music has sparked a big impact culturally. Accordingly, this paper attempts to examine the specific case studies and the synthesis technologies for users to understand the voice synthesis engine more easily, and it will contribute to their variety of music production.

• Proceedings of the Korean Information Science Society Conference
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• 2001.04b
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• pp.148-150
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• 2001

MusicXML, ScoreML과 같은 포맷은 음악을 XML로 표현한 것으로 음정, 박자, 조성, 리듬, 화음 등 모든 정보를 표현하기 위해 고안되었다. 즉, XML이 가지고 있는 간단성, 확장성, 재사용성의 장점을 가지며 분석, 검색, 표기법에 훨씬 큰 장점을 가진 마크업 언어들이다. 기존의 음악 검색에 대한 연구들이 음악파일에 대한 것에 행해졌던 것에 비해 본 논문은 음악을 덱스트로 표현한 XML에서 효과적인 선율 검색을 위해 계이름을 사용한 검색시스템을 제안한다.

• The Journal of Korean Medicine
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• v.34 no.3
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• pp.153-159
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• 2013

Objectives: This study was designed to find the effect of Oriental medicine music therapy (OMMT) on elementary school children's concentration. Methods & Results: OMMT as a study tool has several programs, including playing the musical instruments and listening to the music. The measurement tools of the study were Harris & Harris' grid and visual analogue scale (VAS) for overall condition. As a result, the score of Harris & Harris' grid increased from $12.94{\pm}8.20$ to $15.24{\pm}8.74$ (P=0.032) and VAS for overall condition increased from $74.85{\pm}27.37$ to $92.35{\pm}24.10$ (P=0.002) Conclusions: This case series showed that OMMT might be an effective treatment to improve elementary school children's concentration.

• Korean Journal of Adult Nursing
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• v.18 no.2
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• pp.183-193
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• 2006

Purpose: The purpose of the study was to test the effects of music therapy on postoperative pain in patients with total hip replacement. Method: The research design was a nonequivalent control group pretest-posttest design. The subjects were composed of thirty patients with total hip replacement. Fifteen of them were assigned to the experimental group and fifteen to the control group. Fifteen minutes tailored music therapy was given to the experimental group during five consecutive days. The instruments used for this study were pain NRS(numerical rating scale). The data were analyzed using percent, mean, standard deviation, ${\chi}^2-test$ and repeated measure ANOVA using SPSS WIN 11.0. Results: Hypothesis 1 "The score of pain NRS of experimental group will be lower than those of control group" was accepted(F=15.945, p<.001). Hypothesis 2 "The frequency of PCA analgesics of experimental group will be fewer than those of control group" was accepted (t=-2.312, p=.028). Hypothesis 3 "The vital signs(pulse, systolic BP and diastolic BP) of experimental group will be different from those of control group" was rejected. Conclusion: This music therapy can be recommended as an efficient nursing intervention to reduce postoperative pain in patients with total hip replacement.

• The Journal of the Korea Contents Association
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• v.7 no.11
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• pp.34-42
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• 2007

In this paper, we propose a staff-line detection and removal algorithm from a music score image obtained by a mobile phone camera. As a preprocessing technique to recognize a music score image, staff-line detection and removal should be efficiently applied to the skewed or curved images. The proposed method detects a staff-line by dividing a staff according to the degree of distortion. The number of division is calculated by dividing a staff repletely until an average of differences of y coordinates in every divided position is smaller than a threshold. Therefore, the number of division can be adaptively estimated according to the degree of the distortion. For an experiment, we make various kinds of images by rotating one from $1^{\circ}\;to\;3^{\circ}$ or curving slightly upward. The results show that the proposed method performed well on the experiment images.