• Journal of the Korea Society of Computer and Information
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• v.18 no.8
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• pp.131-139
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• 2013

In this paper, we look into previous research in relation to each processing step for ECG diagnosis and propose detection and classification method of arrhythmia using rhythm features of ECG signal. Rhythm features for distribution of rhythm and heartbeat such as identity, regularity, etc. are extracted in feature extraction, and rhythm type is classified using rule-base constructed in advance for features of rhythm section in rhythm classification. Experimental results for all of rhythm types in the MIT-BIH arrhythmia database show detection performance of 100% for arrhythmia with only normal rhythm rule and applicability of classification for rhythm types with arrhythmia rhythm rules.

• Phonetics and Speech Sciences
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• v.1 no.2
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• pp.141-149
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• 2009

An emphasis on teaching suprasegmental features of English, specifically English rhythm, is essential in order to improve the 'intelligibility' of the pronunciation of Korean EFL learners among interlocutors who use English as a Lingua Franca(ELF). By redefining the ELF suggested by Jenkins (2000, 2002), this paper argues that Lingua Franca Core (LFC) must include suprasegmental features such as 'stress-based rhythm' and word stress. However, because 'isochrony' is difficult to measure in a foot, the rhythm unit must be expanded to an intonational phrase which has prominence in it and the rhythm of the unit can be measured by calculating the duration of each segment in context The rhythmic pattern of Korean learners of English and that of native speakers or other non-native English speakers can then be calculated and compared by using correlation coefficients of the segmental duration. In terms of sociolinguistic factors, improving the 'comprehensibility' and 'accentedness' of Korean EFL learners' pronunciation is also important in international communication, which calls for more emphasis on suprasegmental features.

• Phonetics and Speech Sciences
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• v.8 no.2
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• pp.1-9
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• 2016

This paper investigated the rhythmic features of speakers of English as a lingua franca in Asian contexts. A speech corpus of 150 conversations between speakers of English in Asia with different L1 backgrounds was collected and %V, ${\Delta}V$, VarcoV, and nPVI-V of each speaker were analyzed. It was found that L1 difference of the speakers and the speakers' daily use of English influenced %V, while the speakers' daily use of English influenced ${\Delta}V$. The gender difference of the speakers also affected the rhythm of the utterances in VarcoV. A weak correlation between the two speakers' rhythm in each conversation was also found in %V and ${\Delta}V$. No significant effects were found in nPVI-V. The results revealed that the speakers tended to accommodate the rhythm of their utterance to that of the interlocutors'. Further study on the speaking rate of the speakers is required to overcome some inconsistencies found in the results of the rhythmic metrics used in this study.

• Journal of the Korea Society of Computer and Information
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• v.18 no.9
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• pp.43-51
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• 2013

Classification result by comprehensive analysis of rhythm section and heartbeat unit makes a reliable diagnosis of heart disease possible. In this paper, based on feature-points of ECG signals, rhythm analysis for constant section and heartbeat unit is conducted using rule-based classification and SVM-based classification respectively. Rhythm types are classified using a rule base deduced from clinical materials for features of rhythm section in rule-based classification, and monotonic rhythm or major abnormality heartbeats are classified using multiple SVMs trained previously for features of heartbeat unit in SVM-based classification. Experimental results for the MIT-BIH arrhythmia database show classification ratios of 68.52% by rule-based method alone and 87.04% by fusion method of rule-based and SVM-based for 11 rhythm types. The proposed fusion method is improved by about 19% through misclassification improvement for monotonic and arrangement rhythms by SVM-based method.

• MALSORI
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• no.66
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• pp.41-59
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• 2008

Knowledge in linguistic rhythm of the target language plays a major role in foreign language proficiency. This study attempts to discover valid rhythm features that can be utilized in automatic assessment of non-native English pronunciation. Eight previously proposed and two novel rhythm metrics are investigated with 360 English read speech tokens obtained from 27 Korean learners and 9 native speakers. It is found that some of the speech-rate normalized interval measures and above-word level metrics are effective enough to be further applied for automatic scoring as they are significantly correlated with speakers' proficiency levels. It is also shown that metrics need to be dynamically selected depending upon the structure of target sentences. Results from a preliminary auto-scoring experiment through a Multi Regression analysis suggest that appropriate control of unexpected input utterances is also desirable for better performance.

• Journal of Digital Convergence
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• v.19 no.6
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• pp.273-280
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• 2021

The purpose of this study is to analyze the music of the Moombaton genre and to find out the characteristics of Jamaican music in it. I analyzed Lewis Poncy's and BTS's rhythmically, melodically and instrumentally to find the characteristics of Jamaican music. As a result, the rhythm features a Dembow rhythm and reggae rhythm derived from traditional Jamaican music. and As a feature of the melody, toasting, a unique Jamaican expression method, was used. Instrumental features include Latin American percussion, South American melodic instruments, and the use of tr-808. This study is meaningful in creating another fusion genre by finding the elements of Jamaican music in the current popular genre of EDM.

• The Journal of the Acoustical Society of Korea
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• v.26 no.2E
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• pp.56-62
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• 2007

This paper presents the automatic music emotion classification on acoustic data. A three-level structure is developed. The low-level extracts the timbre and rhythm features. The middle-level estimates the indication functions that represent the emotion probability of a single analysis unit. The high-level predicts the emotion result based on the indication function values. Experiments are carried out on 695 homogeneous music pieces labeled with four emotions, including pleasant, calm, sad, and excited. Three machine learning methods, GMM, MLP, and SVM, are compared on the high-level. The best result of 90.16% is obtained by MLP method.

• MALSORI
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• no.39
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• pp.1-14
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• 2000

In Korean, it has been well Down that vowel length plays an important role in differentiating word meanings. But the distinction between long and short vowels is often ignored by young generation. The purpose of this paper is to investigate the change in rhythm patterns. In addition, it is also examined whether this change has resulted in the differences in prosodic features between young and old groups. This study is based on H. B. Lee's 'rhythm pattern theory' Based on his assumption, it is suggested that the loss of original vowel length has caused the place of accent to move from the first to the second syllable.

• Journal of the Korean Society of Costume
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• v.51 no.2
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• pp.43-52
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• 2001

The purpose of this research is to study the aesthetic character of a mosaic which is expressed in the Modern Costume. The methods of the research were by literature and it was mainly done with reference to master's theses, doctor's theses, separate volumes, periodicals, domestic and overseas fashion magazines and internet on the subject. The result of the research appears as rhythm, exoticism, abstraction, mystery, recreation by disintegration. First, rhythm appears in a sense of free rhythm with the method of arranging motives and the kinds of materials varying. Second, exoticism gives impression with such motives as Oriental designs, African designs and the geometric designs of nature occupying the surface. Third, abstraction displays motives such as unrealistic fashion. Fourth, mystery gives a cyber-related impression with the help of such scientific materials as fluorescent plastics, metal and glass. Fifth, recreation pelves an aesthetic impression by reorganizing the costume with the disintegration and transformation of Industrial materials such as plastics, metal and glass, etc. based on their unique colors and quality.

• Molecules and Cells
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• v.43 no.7
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• pp.600-606
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• 2020

Numerous physiological processes in nature have multiple oscillations within 24 h, that is, ultradian rhythms. Compared to the circadian rhythm, which has a period of approximately one day, these short oscillations range from seconds to hours, and the mechanisms underlying ultradian rhythms remain largely unknown. This review aims to explore and emphasize the implications of ultradian rhythms and their underlying regulations. Reproduction and developmental processes show ultradian rhythms, and these physiological systems can be regulated by short biological rhythms. Specifically, we recently uncovered synchronized calcium oscillations in the organotypic culture of hypothalamic arcuate nucleus (ARN) kisspeptin neurons that regulate reproduction. Synchronized calcium oscillations were dependent on voltage-gated ion channel-mediated action potentials and were repressed by chemogenetic inhibition, suggesting that the network within the ARN and between the kisspeptin population mediates the oscillation. This minireview describes that ultradian rhythms are a general theme that underlies biological features, with special reference to calcium oscillations in the hypothalamic ARN from a developmental perspective. We expect that more attention to these oscillations might provide insight into physiological or developmental mechanisms, since many oscillatory features in nature still remain to be explored.