• 인터넷정보학회논문지
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• 제23권2호
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• pp.45-52
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• 2022

With the development of artificial intelligence analysis methods, especially machine learning, various fields are widely expanding their application ranges. However, in the case of classical music, there still remain some difficulties in applying machine learning techniques. Genre classification or music recommendation systems generated by deep learning algorithms are actively used in general music, but not in classical music. In this paper, we attempted to classify opera among classical music. To this end, an experiment was conducted to determine which criteria are most suitable among, composer, period of composition, and emotional atmosphere, which are the basic features of music. To generate emotional labels, we adopted zero-shot classification with four basic emotions, 'happiness', 'sadness', 'anger', and 'fear.' After embedding the opera libretto with the doc2vec processing model, the optimal number of clusters is computed based on the result of the elbow method. Decided four centroids are then adopted in k-means clustering to classify unsupervised libretto datasets. We were able to get optimized clustering based on the result of adjusted rand index scores. With these results, we compared them with notated variables of music. As a result, it was confirmed that the four clusterings calculated by machine after training were most similar to the grouping result by period. Additionally, we were able to verify that the emotional similarity between composer and period did not appear significantly. At the end of the study, by knowing the period is the right criteria, we hope that it makes easier for music listeners to find music that suits their tastes.

• 대한후두음성언어의학회지
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• 제9권2호
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• pp.109-114
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• 1998

Background and Objectives : Aerodynamic investigation is valuable information about the efficiency of the larynx in translating air pressure to acoustic signal. The normal data of the Korean has been reported, but there is no basic data of professional western classical singers who have learned how to control the flow of expiratory air for singing. The purpose of this study was to investigate the normal aerodynamic data of korean professional western classical singers and compare this with that of the Korean Materials and Methods : 50 Korean western classical singers were studied. Expiratory lung pressure combined with measurements of the mean air flow rate, voice frequency and intensity were measured with the aerodynamic test using airway interruption method. These data were compared with normal data of untrained normal adults. Results and Conclusions : The voice frequency and the voice intensity were increased in the western classic singers, but the mean air flow rate and the expiratory air pressure of the classical singers were within the same range of the untrained normal adults. This result means that western classical singers can change the loudness and pitch with a little increased or decreasing the mean air flow and the expiratory air pressure.

• 한국수학사학회지
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• 제27권4호
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• pp.285-297
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• 2014

G. H. Hardy laid the foundation of classical studies on double Fourier series at the beginning of the 20th century. In this paper we are concerned not only with Fourier series but more generally with trigonometric series. We consider Norlund means and Cesaro summation method for double Fourier Series. In section 2, we investigate the classical results on the summability and the convergence of double Fourier series from G. H. Hardy to P. Sjolin in the mid-20th century. This study concerns with the $L^1(T^2)$-convergence of double Fourier series fundamentally. In conclusion, there are the features of the classical results by comparing and reinterpreting the theorems about double Fourier series mutually.

• Journal of the Korean Data and Information Science Society
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• 제25권4호
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• pp.951-959
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• 2014

Recently Hazelton and Turlach (2009) proposed a weighted kernel density estimator for the deconvolution problem. In the case of Gaussian kernels and measurement error, they argued that the weighted kernel density estimator is a competitive estimator over the classical deconvolution kernel estimator. In this paper we consider weighted kernel density estimators when sample observations are contaminated by double exponentially distributed errors. The performance of the weighted kernel density estimators is compared over the classical deconvolution kernel estimator and the kernel density estimator based on the support vector regression method by means of a simulation study. The weighted density estimator with the Gaussian kernel shows numerical instability in practical implementation of optimization function. However the weighted density estimates with the double exponential kernel has very similar patterns to the classical kernel density estimates in the simulations, but the shape is less satisfactory than the classical kernel density estimator with the Gaussian kernel.

• 대한후두음성언어의학회지
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• 제12권1호
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• pp.39-45
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• 2001

Background and Objectives : A post-pubescent male classical singer has lower vocal register than a female classical singer. Countertenors who can produce higher vocal register like female classical singers with their falsetto voice and head resonance are recently active. The general purpose of this study is to analyze voice of countertenors and to determine the differences with those of classical singers. Materials and Methods : Four countertenors in Korea were examined using a videostrobos-copy and their voice were analyzed using aerodynamic, acoustic and voice range profile methods. Results and Conclusion : Countertenors could produce elevated fundamental frequency, voice intensity and mean air flow rate using large pulmonary capacity and head voiced falsetto. It means the presence of greater energy in countertenor is due to the more efficient conversion of the air flow to acoustic energy. But, they had unstable amplitude perturbation per each vocal cycle. The results indicated that countertenor is the acoustic products of different laryngeal mechanism with other classical register and it can be recognized as one of the registers of male classical singers.

• 헤리티지:역사와 과학
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• 제51권4호
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• pp.170-191
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• 2018

그간 국내 고고학계에서는 서양에서 발달했던 고전고고학을 소개하는 차원에만 머물렀을 뿐 개념 정립과 학문적 성과는 미흡했던 것으로 판단한다. 서양에 비해 고고학이 늦게 태동한 한국고고학은 초기부터 "삼국사기"와 "삼국유사"라는 고전을 통하여 고대사 및 관련 유물과 유적에 대한 분석을 해왔으며, 현재에도 조선시대의 고전, 그리고 "삼국지", "후한서" 등 중국의 고전과 "일본서기"를 비롯한 일본의 고전을 적극 활용하고 있다. 그러나 국내 고전이 절대적으로 부족한 상황에서 고대 정치체의 형성, 국가의 교체와 국가간의 교섭과 교류 등에 대해 각론이 많으며, 풀리지 않는 쟁점이 즐비하다. 이 글은 이러한 문제점을 해결하기 위해 고전고고학을 환기시킬 필요성을 제안하는 것을 목적으로 하고 있다. 고전의 개념은 광의의 의미에서 '과거에 만들어진 모든 기록물'을 말하며, 협의의 의미는 '전통적으로 옛 책의 분류법을 따른 과거의 기록물'을 말한다. 고전에 담겨진 내용을 분석하여 고고자료를 해석하고 과거문화를 연구하는 분야가 고전고고학이다. 본고에서는 고전의 범주를 넓게 설정하고, 그 중 "공자가어"를 통해 고전고고학에서 고전이 의미있게 활용될 수 있음을 확인하였다. 고전고고학에서 고전을 이용하는 방법으로는 여러 기관 및 단체에서 관리하고 있는 고전 DB에 대해 빅데이터 분석기법을 적용한다면 유의미한 성과를 도출할 수 있을 것으로 생각한다.

• Communications for Statistical Applications and Methods
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• 제7권2호
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• pp.549-562
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• 2000

Default Bayes factors are computed to test the equality of one Poisson population mean and the equality of two independent Possion population means. As default priors are assumed Jeffreys priors, noninformative improper priors, and default Bayes factors such as three intrinsic Bayes factors of Berger and Pericchi(1996, 1998), the arithmetic, the median, and the geometric intrinsic Bayes factor, and the factional Bayes factor of O'Hagan(1995) are computed. The testing results by each default Bayes factor are compared with those by the classical method in the simulation study.

• Structural Engineering and Mechanics
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• 제65권1호
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• pp.33-41
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• 2018

In this paper, using modified couple stress theory in place of classical continuum theory, and using shell model in place of beam model, vibrational behavior of nanotubes is investigated via the finite element method. Accordingly classical continuum theory is unable to correctly compute stiffness and account for size effects in micro/nanostructures, higher order continuum theories such as modified couple stress theory have taken on great appeal. In the present work the mass-stiffness matrix for cylindrical shell element is developed, and by means of size-dependent finite element formulation is extended to more precisely account for nanotube vibration. In addition to modified couple stress cylindrical shell element, the classical cylindrical shell element can also be defined by setting length scale parameter to zero in the equations. The boundary condition were assumed simply supported at both ends and it is shown that the natural frequency of nano-scale shell using the modified coupled stress theory is larger than that using the classical shell theory and the results of Ansys. The results have indicated using the modified couple stress cylindrical shell element, the rigidity of the nano-shell is greater than that in the classical continuum theory, which results in increase in natural frequencies. Besides, in addition to reducing the number of elements required, the use of this type of element also increases convergence speed and accuracy.

• 한국광학회지
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• 제16권6호
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• pp.481-484
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• 2005

빛의 양자역학적 성질인 얽힘(entanglement)을 이용한 양자 고스트 이미징(quantum ghost imaging)은 고전적인 동시계수 측정(classical coincidence measurement)에 의해서도 정성적으로 재현됨이 알려져 있다[1,2]. 본 실험에서는 진행방향에서 고전적인 상관관계를 가지는 빛을 이용하여 고전 동시계수 이미징(classical coincidence imaging) 실험을 수행하여 양자역학적 얽힘 상태에서 볼 수 있는 현상들을 관측하고 고스트 이미지가 나오는 원리를 분석하였다. 고전적인 상관관계를 가지는 광원은 아르곤이온 레이저에서 나오는 빛의 경로를 스피커에 부착되어 회전하는 거울에 반사시켜 진행방향에 대해 상관관계를 가지도록 만들어 사용하였다.

• 제어로봇시스템학회논문지
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• 제20권7호
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• pp.750-755
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• 2014

Product shortage which causes backordering and/or lost sales cost is very popular in chemical industries, especially in commodity polymer business. This study deals with backordering cost in the supply chain optimization model under the framework of process-inventory network. Classical economic order quantity model with backordering cost suggested optimal time delay and lot size of the final product delivery. Backordering can be compensated by advancing production/transportation of it or purchasing substitute product from third party as well as product delivery delay in supply chain network. Optimal solutions considering all means to recover shortage are more complicated than the classical one. We found three different solutions depending on parametric range and variable bounds. Optimal capacity of production/transportation processes associated with the product in backordering can be different from that when the product is not in backordering. The product shipping cycle time computed in this study was smaller than that optimized by the classical EOQ model.