• Journal of Digital Contents Society
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• v.8 no.4
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• pp.521-529
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• 2007

In this paper, we introduce a music recommendation system that automatically recommends music according to users' musical tastes. The recommendation system uses a graph-based collaborating filtering in which similarities between musics are saved as a graph, and so it can perform fast recommendation based on the implicit preference information. It also has capability of recommending music according to users' dynamically changing preferences as well as users' static preferences. The recommendation server is implemented as an independent server using Java, and communicates with clients according to a specified protocol. A demo web site has been built by using the server and music download data from actual users, and the accuracy of recommendation has been measured through experiments.

• The Journal of the Acoustical Society of Korea
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• v.30 no.3
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• pp.129-135
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• 2011

An algorithm is presented for estimating the 3-D location (i.e., azimuth angle, elevation angle, and range) of multiple sources with a uniform circular array (UCA) consisting of an even number of sensors. Recently the rank reduction (RARE) algorithm for partly-calibrated sensor arrays was developed. This algorithm is applicable to sensor arrays consisting of several identically oriented and calibrated linear subarrays. Assuming that a UCA consists of M sensors, it can be divided into M/2 identical linear subarrays composed of two facing sensors. Based on the structure of the subarrays, the steering vectors are decomposed into two parts: range-independent 2-D direction-of-arrival (DOA) parameters, and range-relevant 3-D location parameters. Using this property we can estimate range-independent 2-D DOAs by using the RARE algorithm. Once the 2-D DOAs are available, range estimation can be obtained for each source by defining the 1-D MUSIC spectrum. Despite its low computational complexity, the proposed algorithm can provide an estimation performance almost comparable to that of the 3-D MUSIC benchmark estimator.

• The Journal of Korean Physical Therapy
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• v.19 no.4
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• pp.53-64
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• 2007

Purpose: We investigated the effects of music on pain, blood pressure, and pulse in patients with chronic back pain. We tried to find some change of satisfaction of treatment and a sense. Method: We recruited total 30 patients with chronic back pain, who had pain from lumbago for more than six months. Subjects received electrotherapy and electrotherapy with music one at a time during me test, and subjects received one in the morning and the other one in the afternoon. We compared the test results between the electrotherapy and electrotherapy with music. Visual Analogue Scale was used to check the effect on pain. Blood pressure and pulse were checked, too. The gathered informatio was analyzed by t-test, independent sample t-test, and chi-square test. Results: There was statistically not significant difference between electrotherapy and electrotherapy with the music in VAS(Visual Analogue Scale)(p>0.05). There were statistically some significant differences between two groups in systolic pressure, diastolic pressure, and the pulse(p<0.05). Subject group showed statistically higher scores of satisfaction(p<0.05). There was significant difference between two groups(p<0.05) in the tingling and vibration sense. Conclusion: we found that the lumbago patients who are treated by electrotherapy with the music did not have additional difference in relief of pain, but electrotherapy with music can get better effects on their blood pressure, the pulse, satisfaction, and tingling-vibration sense. This means that the patients receive their treatment comfortably with rest. Therefore, We consider that it is desirable to play music to lumbago patients to offer the better treatment service to the patients.

• Journal of the Korea Society of Computer and Information
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• v.27 no.11
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• pp.287-294
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• 2022

The purpose of this study is to define the concept of value-added services on online music platforms, put forward a model of users' willingness to use value-added services on online music platforms, and explore the way its influencing factors affect users' willingness to use. This study is based on the stimulus-response model, combined with the characteristics of online music service platforms, using information value, social value, and entertainment value as independent variables, using flow experience as a mediating variable, and self-awareness as a moderator variable, and then researches on the use of users. influence of will. Empirical analysis was carried out in this study using SPSS and AMOS statistical analysis tools. It is verified that the value-added services of online music platforms have a positive and positive impact on consumers' flow experience and usage intention. This research can fill in the theoretical defects of online music platform service, which has positive and important significance for music platform operators to improve their service capabilities and improve their income.

• Korean Journal of Adult Nursing
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• v.28 no.5
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• pp.525-535
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• 2016

Purpose: This study was conducted to examine the effects of music therapy on anxiety, sedation, and stress responses of patients during surgery with spinal anesthesia. Methods: A quasi-experimental design with a non-equivalent control group pre-post test was used. There were 55 adults over 19 years of age scheduled for a lower leg surgery with spinal anesthesia: 27 in the treatment group and 28 in the comparison group. Each subject in the treatment group identified their music preference which was used during the period of surgery which usually lasted, 61 minutes. Data were analyzed using chi-square, Fisher's exact test, independent t-test and repeated measured ANOVA. Results: There were significant reported differences in levels of anxiety, sedation, and stress responses which were measured by plasma cortisol levels, heart rate, and respiratory rate. The findings of all the variables were effectively decreased among those in the treatment group than the comparison group. Conclusion: The preference based music therapy may be useful as a non-pharmacological intervention.

• Journal of the Korean Society of Physical Medicine
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• v.4 no.3
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• pp.201-207
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• 2009

Purpose：The purpose of this study was to investigate the effect of $\alpha$-wave music and art appreciation on hand function in stroke with hemiplegia. Methods：A total of 32 stroke with hemiplegia participated in this study experimental group(16 subjects) received $\alpha$-wave music and art appreciation with general neurologic therapy. Control group(16 subjects) received general neurologic therapy. All subjects were assessed for hand function(manual dexterity, power grip, pinch grip, two point discrimination(parm, finger), tactile sense(parm, finger) using a purdue pegboard, dynamometer, pinch gauge, two-point anethesiometer and semmes-weinstein monofilament wire. The data were analyzed using paired and independent t-test. Results：The results were as follows : 1. In the experimental group, manual dexterity were significantly increased between pre and post intervention(p<.05). 2. In the experimental group, tactile sesne in finger were sifnificantly increased between pre and post intervention(p<.05). Conclusion：The results of this study shows that $\alpha$-wave music and art appreciation affect the hand function of hemiplegic side with regard to manual dexterity and tactile sense.

• Research in Community and Public Health Nursing
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• v.27 no.2
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• pp.153-162
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• 2016

Purpose: Music therapy is a non-pharmacological treatment of the behavioral and psychological symptoms. This study was conducted to contribute to the rehabilitation of patients with idiopathic Parkinson's disease in the areas of functionality, emotionality and sociability. Methods: The study included 35 participants, aged between 52 and 77 years, who were diagnosed with idiopathic Parkinson's disease (IPD) and reported suffering from depression, chronic illness anticipated stigma, and worrying about quality of life. The patients were recruited from the department of outpatient neurology at School of Medicine, D University in B Metropolitan City. Group music therapy was performed for nine weeks. The results were analyzed by repeated measures ANOVA. Results: In terms of stigma, there were significant differences between two groups and time (p<.05). Analysis of the interaction between time and service method revealed significant differences (p<.05). Between time, and the interaction between time and service method revealed significant differences in terms of quality of life (p<.05). Conclusion: The results suggest that group music therapy will be effective on the psychosocial well-being of patients with Parkinson's disease living in assisted and independent living communities.

• The Journal of Korean Physical Therapy
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• v.20 no.1
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• pp.75-79
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• 2008

Purpose: The purpose of this study was to investigate the effect of $\alpha$-wave music and art appreciation on hand function. Methods: A total of 22 university students participated in this study (10 males and 12 females). Twelve subjects received $\alpha$-wave music and art appreciation. The other subjects received neither. All subjects were assessed for hand function (manual dexterity, power grip, pinch, lateral pinch, tactile sense) using a Purdue pegboard, dynamometer, pinch gauge, and Semmes-Weinstein monofilament wire. The data were analyzed using paired and independent t-tests. Results: The results were as follows: 1. In the experimental group, manual dexterity and tactile sense were significantly increased between pre- and post-intervention (p<0.05). Within the control group, manual dexterity and power grip were significantly increased between pre- and post-test (p<0.05). 2. With regard to dexterity and tactile sense, the experimental group experienced a significant post-intervention increase compared to the control group (p<0.05). There was no significant difference in power grip, pinch, or lateral pinch changes between the two groups (p>0.05). Conclusion: The results of this study show that $\alpha$-wave music and art appreciation affect hand function with regard to manual dexterity and tactile sense.

• Journal of the Ergonomics Society of Korea
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• v.15 no.1
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• pp.79-90
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• 1996

A research project was conducted to assess the levels of noise exposed to "Noraebang" users and potential hazards to noise-induced hearing loss due to commercial Noraebang noise. A two-way, mixed-factors factorial design was employed for the experiment using independent variables of "noise source" (no- singer, 1-singer, and 2-singer conditions) and "music type" (Trot, Ballad, and Rock music) with 18 normal hearing subjects. Each singer group sang 5 popular songs of each music type in each signing condition, whereas background music was just played for the no-singer condition. For each music played/sung, equivalent continuous sound pressure levels and maximum sound pressure levels were measured for data analysis purposes. Pure-tone audiometry was applied for measuring subjects' hearing threshold levels before and after exposure to Noraebgang noise. The statistical analyses indicate that average continuous noise levels due to Noraebang leisure environment were very serious, especially when two people were singing (higher than 95 dBA). Furthermore, maximum noise levels often exceeded the OSHA's non-premissible 115 dBA level. Worse yet, hearing loss assessment implies that Noraebang facilities may pose a serious threat to noise-induced hearing loss, based on 6-8 dB loss at 125 Hz and 8 dB loss at 4000 Hz after about 1-hour Noraebang noise exposure.

• Journal of Biomedical Engineering Research
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• v.31 no.6
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• pp.456-463
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• 2010

In the present study, we proposed a new subspace scanning algorithm to enhance the spatial resolution of electroencephalography (EEG) and magnetoencephalography(MEG) source localization. Subspace scanning algorithms, represented by the multiple signal classification (MUSIC) algorithm and the first principal vector (FINE) algorithm, have been widely used to localize asynchronous multiple dipolar sources in human cerebral cortex. The conventional MUSIC algorithm used principal component analysis (PCA) to extract the noise vector subspace, thereby having difficulty in discriminating two or more closely-spaced cortical sources. The FINE algorithm addressed the problem by using only a part of the noise vector subspace, but there was no golden rule to determine the number of noise vectors. In the present work, we estimated a non-orthogonal signal vector set using independent component analysis (ICA) instead of using PCA and performed the source scanning process in the signal vector subspace, not in the noise vector subspace. Realistic 2D and 3D computer simulations, which compared the spatial resolutions of various algorithms under different noise levels, showed that the proposed ICA-MUSIC algorithm has the highest spatial resolution, suggesting that it can be a useful tool for practical EEG/MEG source localization.