• The Journal of the Acoustical Society of Korea
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• v.19 no.2
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• pp.54-60
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• 2000

Acoustic source localization using MUSIC etc. utilizes the propagation model in the medium. A plane wave model is a well-known source model for the identification of distant sources in the SONAR and a monopole source model becomes the one for the identification of rather near range sources. This paper introduces a dipole source model and a tripole source model consisting of one monopole and one dipole source. The simplifying procedures provide the simplified factors rather than the superposition of the relating monopole sources. The simulations show that the tripole model is useful in the general case including pure monopole, pure dipole, or pure quadrupole source identification.

• Transactions of the Korean Society of Automotive Engineers
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• v.16 no.2
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• pp.18-28
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• 2008

In inverse acoustic problem with nearfield sources, it is important to separate multiple acoustic sources and to measure the position of each target. This paper proposes a new algorithm by applying MUSIC(Multiple Signal Classification) to the outputs of discrete wavelet transformation with sub-band selection based on the entropy threshold, Some numerical experiments show that the proposed method can estimate the more precise positions than a conventional MUSIC algorithm under moderately correlated signal and relatively low signal-to-noise ratio case.

• The Journal of the Acoustical Society of Korea
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• v.19 no.1
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• pp.61-66
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• 2000

In this paper, we are proposing an efficient 3D source localization algorithm using 3 uniform linear subarrays. The proposed algorithm replaces 3D search required in conventional 3D MUSIC algorithm with 3 1D searches, and thus reduces computational burden. The estimate of the 1D conic angle obtained from a subarray under the far-field assumption satisfies a nonlinear algebraic equation of the true source bearing angle, elevation angle, and range. The proposed algorithm estimates source location by solving 3 algebraic equations obtained from 3 subarrays. Comparing 3D MUSIC spectrums of the estimated source locations, the proposed algorithm solves pairing problem for multiple sources localization.

• Korean Journal of Human Ecology
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• v.24 no.1
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• pp.79-96
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• 2015

The purpose of this research was to analyze the clothing behavioral attributes of male music enthusiasts. A questionnaire was developed based on previous researches. Respondents were men who were concerned with music in terms of a job, a major or a hobby. A total of 200 responses were analyzed by SPSS 20.0 through factor analysis with Varimax rotation, ANOVA with post-hoc test(SNK-test) and ${\chi}^2$-test. Music preference was classified into 3 factors: New age/jazz, Hiphop/dance, and Metal rock/ballad factor. 5 Clothing purchasing orientation factors were extruded: hedonic, planned, convenience, brand pursued, and fashion pursued purchasing orientation. Using those factor scores, 3 groups were classified: Group1(G1), preferring Hiphop/dance music with lower hedonic and brand/fashion pursued purchasing orientation; G2, preferring Hiphop/dance music with no interest in clothing shopping and fashion; G3, preferring New age music with high convenience and brand pursued purchasing orientation. In addition, there were significant differences among groups in clothing behavior such as social ostentation, individuality, self-expression, fashionability, conformity; in purchase motivation such as hedonic and trend/designer oriented purchase motivation; in information source like advertisement/media source; and in store choice criteria such as store light/music and popularity. The findings showed even the enthusiasts for the same music showed the different sopping orientation and different clothing behavior, suggesting that a personal value or taste can be a plausible factor to figure out attributes of consumers. An interest/involvement in clothing could be helpful to subdivide the music enthusiasts as the target market.

• International journal of advanced smart convergence
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• v.9 no.4
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• pp.74-85
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• 2020

In this study, we investigated the necessity and limitations of music composition required in TV documentary by conducting in-depth interviews with 20 music directors currently working at Korean Broadcasting System (KBS). Our research has shown that composition of music is necessary. However, in reality, it is difficult to use the composed music due to problems such as time and cost of composing and trust in the music composer; so music libraries, film music, or other music are used instead of the composed music in many situations. However, at the time when companies like its rival Netflix are aware of the importance of sound, the impact of Netflix could lead to a decline in the quality of terrestrial TV, which could lead to a weakening of competitiveness. Recently, in the case of sound programs, the sales of secondary works are active due to "internet uploading using YouTube" or "exporting programs", but the sales have been hindered by restrictions on the use of copyrighted works. The music source of library is said to be the one whose copyright problem has been resolved. In this study, we show that the composed music is an ultimate alternative to TV documentaries, since the library music is sometimes suspended due to the situations of management companies.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.239-245
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• 2020

The Ewha Music Database (EMDB) is an online database comprised of primary source materials related to music education from East Asia during the modern era (1880 to 1945) when Korea, Japan, and China were geopolitically and culturally intertwined. We developed the incipit search in EMDB as an embedded tool. This is the first attempt in Korea to implement a unique search function of musical data using alphabets of musical notes. Unlike in traditional search system that uses general literature information search conditions, such as author, title, publisher, year, number of pages, etc., it offers a new way of searching a musical piece/work and sheet music. This study confirms that digital information technology is an important methodology for research of music culture as a field of humanities.

• Journal of Korean Library and Information Science Society
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• v.41 no.3
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• pp.205-224
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• 2010

The purpose of this study aims to present the base for the rational management of printed music as an important primary source of music materials. In this study, therefore, the selection and acquisition, organization, user services for the management of printed music are investigated. Then the present situation for management of printed music of university libraries in Daejeon and Chungnam are surveyed. Finally, the special issues to be considered in the management of printed music are presented.

• The Journal of the Acoustical Society of Korea
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• v.23 no.3
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• pp.214-220
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• 2004

A computationally efficient algorithm is presented for 3-D near-field source localization using a uniform circular away (UCA). Algebraic relations are demonstrated between the incident angles (elevation angle and azimuth angle) under the far-field assumption and the actual near-field location (range. elevation angle, and azimuth angle). Using these relations as paths to follow to the peak of the 3-D MUSIC spectrum, the proposed algorithm replaces the 3-D search required in the conventional 3-D MUSIC with a 1-D path following after a 2-D initialization. thereby reducing the computational burden.

• Proceedings of the Korea Committee for Ocean Resources and Engineering Conference
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• 2002.10a
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• pp.68-72
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• 2002

Localization with array sensors has been applied for not only military but also non-military purposes. The identification of submarines and fish finding are those examples. Nowadays the demand for noise identification is increasing to characterize noise sources and improve acoustic performance of underwater acoustic equipment. For that reason KRISO/KORDI recently constructed an anechoic basin which bus reflection only at the free surface. This paper suggests a noise identification methods using MUSIC algorithm in such an acoustic field. For comparison phase delay sum and minimum valiance methods are also described. At first basic principles are described. A several numerical simulations are also performed. The results say that reflection effect many cause a new non-real source although good estimation is obtained under no reflection conditions.

• 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.