• Journal of Korea Entertainment Industry Association
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• v.13 no.6
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• pp.25-32
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• 2019

According to a recent KOFICE survey, K-Pop's popularity factor is divided into visual and auditory elements, and the importance of hearing elements is found. Among the various types of singers, idol groups led K-Pop and Black Pink, which topped the list of favorite K-Pop singers in 2018, was selected as the study target. In addition, Twice's music, which is similar to Black Pink's period of activity, has been set as a comparative research scope. The common features in the music of the two groups are the chorus and rhythm structure implemented around melody and Harmony rhythm, and the frequency of use of Major and Minor is greatly different. Through this method and modal interchange, K-Pop from 2016 to 2018 is analyzed. Research shows that first, more than one mode is used as a main melody. When more than one mode is used, different lines in the same line will vary depending on the functional form of the song. Second, the rhythm of the melody expressed with vocals and instruments is repeated based on a two-bar pattern. Finally, when using less chord and slowly expressing the igneous rhythms, there is a way to omit or modify the third notes that determine chord characteristics. Through this study, we can see that the usage patterns of the mode and modal interchange are divided according to the major and minor.

• Phonetics and Speech Sciences
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• v.13 no.2
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• pp.57-66
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• 2021

This study focuses on the issue of automatic severity classification of dysarthric speakers based on speech intelligibility. Speech intelligibility is a complex measure that is affected by the features of multiple speech dimensions. However, most previous studies are restricted to using features from a single speech dimension. To effectively capture the characteristics of the speech disorder, we extracted features of multiple speech dimensions: voice quality, prosody, and pronunciation. Voice quality consists of jitter, shimmer, Harmonic to Noise Ratio (HNR), number of voice breaks, and degree of voice breaks. Prosody includes speech rate (total duration, speech duration, speaking rate, articulation rate), pitch (F0 mean/std/min/max/med/25quartile/75 quartile), and rhythm (%V, deltas, Varcos, rPVIs, nPVIs). Pronunciation contains Percentage of Correct Phonemes (Percentage of Correct Consonants/Vowels/Total phonemes) and degree of vowel distortion (Vowel Space Area, Formant Centralized Ratio, Vowel Articulatory Index, F2-Ratio). Experiments were conducted using various feature combinations. The experimental results indicate that using features from all three speech dimensions gives the best result, with a 80.15 F1-score, compared to using features from just one or two speech dimensions. The result implies voice quality, prosody, and pronunciation features should all be considered in automatic severity classification of dysarthria.

• Journal of KIISE
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• v.41 no.12
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• pp.1050-1057
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• 2014

Electroencephalogram (EEG)-based brain-computer interfaces (BCI) can be used for a number of purposes in a variety of industries, such as to replace body parts like hands and feet or to improve user convenience. In this paper, we propose a method to decompose and extract motor imagery EEG signal using Empirical Mode Decomposition (EMD) and Fast Fourier Transforms (FFT). The EEG signal classification consists of the following three steps. First, during signal decomposition, the EMD is used to generate Intrinsic Mode Functions (IMFs) from the EEG signal. Then during feature extraction, the power spectral density (PSD) is used to identify the frequency band of the IMFs generated. The FFT is used to extract the features for motor imagery from an IMF that includes mu rhythm. Finally, during classification, the Support Vector Machine (SVM) is used to classify the features of the motor imagery EEG signal. 10-fold cross-validation was then used to estimate the generalization capability of the given classifier., and the results show that the proposed method has an accuracy of 84.50% which is higher than that of other methods.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.19-26
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• 2009

This paper presents an approach to classify normal and ventricular tachycardia/fibrillation(VT/VF) from the Creighton University Ventricular Tachyarrhythmia Database(CUDB) using the neural network with weighted fuzzy membership functions(NEWFM) and wavelet transforms. In the first step, wavelet transforms are used to obtain the detail coefficients at levels 3 and 4. In the second step, all of detail coefficients d3 and d4 are classified into four intervals, respectively, and then the standard deviations of the specific intervals are used as eight numbers of input features of NEWFM. NEWFM classifies normal and VT/VF beats using eight numbers of input features, and then the accuracy rate is 90.1%.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.32 no.10C
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• pp.965-974
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• 2007

In this paper, we proposed the feature selection algorithm for multi-class genre classification. In our proposed algorithm, we developed GMM separation score based on Gaussian mixture model for measuring separability between two genres. Additionally, we improved feature subset selection algorithm based on sequential forward selection for multi-class genre classification. Instead of setting criterion as entire genre separability measures, we set criterion as worst genre separability measure for each sequential selection step. In order to assess the performance proposed algorithm, we extracted various features which represent characteristics such as timbre, rhythm, pitch and so on. Then, we investigate classification performance by GMM classifier and k-NN classifier for selected features using conventional algorithm and proposed algorithm. Proposed algorithm showed improved performance in classification accuracy up to 10 percent for classification experiments of low dimension feature vector especially.

• Journal of the Korea Fashion and Costume Design Association
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• v.21 no.4
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• pp.81-96
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• 2019

The study intends to seek the creative ideas that can satisfy the needs of individual consumers by rediscovering the modern meaning and the artistic value of geometric ornaments engraved on the backside of Danyugyung, which is a traditional Korean pattern. In terms of the study method, the symbolic meaning and formative characteristics of Danyugyung were determined, and the form of its pattern and the geometric characteristics were analyzed. Based on this, Photoshop and illustrations were used to apply the shapes of Danyugyung and internal patterns to the textile designs, and the results are as follows. Firstly, it was found that Danyugyung was associated with the bronze mirror, which was used from the Bronze Age to the Early Iron Age, and was the product of artistic activities and an object and acted as a shamanistic and authoritative symbol of the ruling parties, which were responsible for the acts related to the spiritual world. Secondly, it was discovered that forms of Danyugyung were classified into Jomungyung and Semungyung in accordance with Forms of Danyugyung (造飾), and the formative features of the geometric ornaments that were engraved in great detail on the backside could be found in the images which change according to the form of the inner patterns. Thirdly, with regard to the development of the textile designs utilizing the shape and inner patterns of Danyugyung based on the formative features, it was could discover that the simple shape of Danyugyung presented a value which can be applied as a unique design factor delivering a visual rhythm by attempting to create various harmonies overlapping lines engraved on the inner patterns and the shapes of Danyugyung. Based on the above-mentioned outcomes, the possibility was confirmed that Danyugyung can be used as a novel motif and as a standard unit of patterns for textile design. With future studies, I would like to utilize the unique and diverse images as pattern motif for textile design.

• Journal of Genetic Medicine
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• v.16 no.1
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• pp.10-14
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• 2019

Purpose: The aim of this study was to investigate the clinicopathological features of premature ovarian insufficiency (POI) associated with chromosomal abnormalities. Materials and Methods: This was a retrospective study of POI patients with chromosomal abnormalities diagnosed between January 2009 and December 2017. The definition of POI is based on hypergonadotropinism of 40 or greater in follicle stimulating hormone (FSH) measurements at age 40 years or less. FSH was measured twice at least 4 weeks apart. Karyotyping using peripheral blood for chromosomal testing was conducted in all patients diagnosed with POI. We analyzed the clinical characteristics and genetic causes of patients who were diagnosed with POI. Results: Forty patients were diagnosed with POI including 9 (22.5%) with identified chromosomal abnormalities. The mean age at diagnosis was $23.1{\pm}7.8years$ (ranging between 14 and 39). Three patients did not experience menarche. The presenting complaints were short stature in one case, one case of amenorrhea with ambiguous external genitals, one case of infertility, and six related to menstruation such as oligomenorrhea or irregular rhythm. Turner syndrome was diagnosed in four cases, Xq deletion in one case, trisomy X in two cases, and 46,XY disorder of sexual development in two other patients. Conclusion: Patients diagnosed with POI carrying the same type of chromosomal abnormality manifest different phenotypes. The management protocol also needs to be changed depending on the diagnosis. A karyotype is indicated for accurate diagnosis and proper management of POI in patients, with or without stigmata of chromosomal abnormalities.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.113-116
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• 2001

This paper describes an analysis of the music as a time series and the fuzzy logic-based modeling of it. All music is made up of a finite number of musical notations known as the musical symbols, such as clefs, staff, tine signature, notes, rests, etc. . The musical score uses musical symbols to present various characteristics, such as rhythm, melody, chord, etc,. for interpreting the music. In this paper, it is possible to transform the beat and pitch in the musical into time series from the viewpoint of recognizing beat and pitch of sounding tone at each time. On the basis of the identified features of the musical score, a musical score is represented as a time series and then is constructed to fuzzy logic-based model for predicting them. Examples are presented to illustrate the validity of the proposed method.

• Journal of the Korea Fashion and Costume Design Association
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• v.5 no.2
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• pp.103-113
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• 2003

This paper analyses the geometric aspect of Sonia Delaunay′s works on the basis of design elements and principles. Geometric pattern is one of the distinct features of early 20th century avant-garde works. The significance of its pattern and colour comes from the fact that it has not only influenced the contemporary fine art but also offered the basic principle of modern costume design. In 1925 she was designing clothes which could be worn today without appearing old-fashioned. She foresaw the future trends in fashion and interior decoration. One might claim she belongs to the avant-garde even today and no less astonishing a phenomenon than she was in 1925. Sonia Delaunay′s art was one of the first expressions of abstract painting and her "simultaneous contrasts" are among the earliest example of the aesthetic. In Delaunay′s geometric abstraction it is found that the technique of "simultaneous contrasts" is exploited almost without exception. Colour as well as Collage was the favourite technique Delnaunay used in creating a distinct simultaneity. Many "inobjective" paintings as she herself called unite the rigour of simple geometric forms with an inner life and poetry which emanate from the richness of the colour, the musicality of the rhythm, the vibrant breadth of the execution.

• Journal of the Korean Society of Costume
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• v.53 no.5
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• pp.13-22
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• 2003

The purposes of this study are to develop a Korean image clothing design for cultural products by using the literary artist´s works and to satisfy the demand of the local self-government and of Gwangju ㆍChonnam area´s small and medium-sized companies. The image of traditional Korean clothing can be expressed with adjectives like Pure, plain, rhythmical, neatness, plentiful, and calm etc. These attributes are similar to the characteristics of the literary artist´s style, which is expressed as suggestive, animated, spatial, possibility of stationary, serene and still. The features of the traditional Korean clothing design can be described as ´The Beauty of Elegance´, ´The Beauty of Plainness´, ´The Beauty of Asymmetric Balance´ and ´The Beauty of rhythm´. It can be expressed in the modern fashion design, which is developed through the combination of the most important feature like ´The Beauty of Space´ in the literary artist´s style. At the time of production we tried to express spatial beauty and plentiful taste of the literary artist's style in the clothing design of Korean image for cultural products by considering the balance between them. Six works of the literary artist were selected which satisfied the purpose of the developed clothing design item. The results were nine clothing designs of Korean image, like a skirt suit made up of a blouse and a skirt, a pants suit made up of pants and a jacket, two evening dresses with a shawl, and also T-shirts and one-pieces etc.