• Journal of the Korean Applied Science and Technology
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• v.36 no.1
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• pp.189-199
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• 2019

The aim of this study was to investigate the effect of combine exercise on the fall injury related index and myokine in elderly women. Sarcopenia leads to a loss of strength, alter on to a decreased functional status, impaired mobility, a higher risk of falls, and eventually an increased risk of mortality. Aerobic exercise characterized by rhythmic and repetitive movements of large muscles, for sustained periods that depends primarily on the use of oxygen to meet energy demands through aerobic metabolism, and that is structured and intended to generate improvements in cardiopulmonary fitness, body composition, and cardiorespiratory health. Resistance training has performance in the elderly. As combined exercise therapy can be used to enhance muscle functions and cardiopulmonary functions, it is being highlighted as an effective health management methods for the aged. The myokine has been regarded an important factor of exercise how muscle communicate adipose tissue, bone and muscle to exert beneficial effects at the whole body level.

• Journal of Music and Human Behavior
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• v.19 no.2
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• pp.1-26
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• 2022

This review was conducted to identify the research trends in music intervention studies with elderly patients with dementia. Korean- and English-written studies on music intervention for this population were searched and analyzed. Seventeen studies were included in the final analysis. The results showed that behavioral and psychological symptoms were the main dependent variables. In terms of the type of music intervention employed, interventions requiring the patient's active participation in producing music were more common than interventions that required the patient to only listen to music. The majority of studies provided live music, selected music that was familiar to and preferred by the patient, and utilized rhythm-based performance activities. In the studies using active music production as the intervention, the participants were asked to express the emotions evoked by group instrument playing or singing along with music, which doesn't reflect the functional limitations (e.g., cognitive impairment) of elderly patients with moderate to severe dementia. The results of this review point to the need in the field to develop music intervention programs for the elderly with moderate to severe dementia that meaningfully engage these patients in music-related behaviors that target their specific symptomology.

• The Journal of the Acoustical Society of Korea
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• v.28 no.1
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• pp.32-43
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• 2009

In this paper, we improve the performance of cardiac disorder classification by continuous heart sound signals using automatic segmentation and extreme learning machine (ELM). The accuracy of the conventional cardiac disorder classification systems degrades because murmurs and click sounds contained in the abnormal heart sound signals cause incorrect or missing starting points of the first (S1) and the second heart pulses (S2) in the automatic segmentation stage, In order to reduce the performance degradation due to segmentation errors, we find the positions of the S1 and S2 pulses, modify them using the time difference of S1 or S2, and extract a single period of heart sound signals. We then obtain a feature vector consisting of the mel-scaled filter bank energy coefficients and the envelope of uniform-sized sub-segments from the single-period heart sound signals. To classify the heart disorders, we use ELM with a single hidden layer. In cardiac disorder classification experiments with 9 cardiac disorder categories, the proposed method shows the classification accuracy of 81.6% and achieves the highest classification accuracy among ELM, multi-layer perceptron (MLP), support vector machine (SVM), and hidden Markov model (HMM).

• (The) Research of the performance art and culture
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• no.39
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• pp.801-833
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• 2019

This article has reviewed on the characteristics of the Beompae (Buddhist chanting) performed by Gyeongjaeeosan Wonmyeongchang(唱) based on the result of musical style of Gyeongjae Anchaebi-sori as defined under the previous studies. And, through the comparison with the Beompae performed by Songam-chang (唱), a same type of musical piece, it contemplates on musical differences between the two singers. Results of the study are shown as follows. of Gyeongjaeeosan Seolhoeinyu-pyeon and of Socheongsaja-pyeon are sunged as Yuchi-Seong(聲) among Anchaebi-sori. 'main melody type' and 'ending type' are generally similar to the musical characteristics of the Yuchi-Seong(聲), and the differences between the two singers are detected from main melody type D and ending type b. In particular, under of Socheongsaja-pyeon, only the type a is detected among the two types. becouse ending note of ending-type 'a' is ended with 'sol'. The basic frame of the Jjaimsae(musical form) has been clarified in the previous studies that the Jjaimsae of Yuchi-Seong(聲) has been maintained just the way it is. However, even for the same Seong(聲), the combination of the 'main melody type' of passage has not been unified, and depending on the musical piece, it has been discovered that the combination of the 'main melody type' has been diversely organized. of Gyeongjaeeosan Bongsongsajapyeon belongs to Pyeon-gae-seong(聲) broadly from the Anchaebi-sori and it is shown to be So-seong(聲) in details. In particular, in the previous studies, the 'ending melody' of So-seong(聲) and the closing melody of were similar with a slight difference for the 'ending melody'. Such a difference is relation to the characteristics for sequentially descending melody of Wonmyeong-chang(唱). The 'Jjaimsae(The musical structure)' is not much different from the previous studies, and the 'yeok-eum(weaving lyrics)' of Songam-chang(唱) has strong tendency of 3-sobak rhythm while the Wonmyeong-chang (唱) is shown the tendency of 2-sobak rhythm in general for the difference.

• (The) Research of the performance art and culture
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• no.39
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• pp.279-323
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• 2019

The musical characteristics of Fishing songs in North Korean which recorded on Anthology of North Korean Folk Songs were examined in this paper. The results are as follows. Among Fishing songs in North Korea, there are "Rowing Song," the "Song for Hauling Nets," and the "Song for Picking Up Fish" in songs related to walleye pollack fishing and in songs related to croaker fishing, the "Song for Dropping Anchor" and the "Full-Load-of-Fish Song" in songs related to croaker fishing, the "Song for Weighing Anchor," the "Song for Shaking Fish," the "Full-Load-of-Fish Rowing Song," and the "Song for Hanging Walleye Pollack" in songs related to walleye pollack fishing. There are the "Song for Setting a sail" and the "Song for catching shells" in Fishing songs in North Korea, too. In the rhythmic elements of Fishing songs in North Korea, the tempo of the "Songs for Setting a sail" is moderato, and that of the "Songs for Picking Up Fish" of songs related to anchovy or herring fishing is quite slow. "Rowing Songs"(croaker fishing) have various tempos but faster than moderato, and usually get faster and faster as time goes by. Most songs have 4/♩. time and there are some of 2, 3 or 5 time. Some songs use irregular time or 6 time overlapping 2 beats. The mode Menari is the most common tonal system used in fishing songs of North Korea. And the mode Susimga, the mode Changbutaryeong, the mode Nanbongga, and the mode Odolttogi are also used in the tonal system of Fishing songs in North Korea. There are shoutting intonations that have indefinite pitch, too. Modulation or interaction by the mode Changbutaryeong appeared in songs of the mode Menari. There is a tendency to favor a certain tonal system by category. Responsorial form is mostly used, but in the most cases, they were sung in solo. In responsorial songs, several calling songs overlap with the responding songs. Durchkomponiert form is sung by antiphon or in solo, but the case sung in solo originally seems to have been sung by antiphon or unison, if we consider the procedure of the work. The "Song for Picking Up Fish" of Seonbong-gun of North Hamgyeong Province and Yangyang-gun of Gangwon Province, the "Full-Load-of-Fish Song-Bongjuktaryeong" of Jeungsan-gun of South Pyeongan Province and "Full-Load-of-Fish Song-Baechigisory" of Taean-gun of South Chungcheong Province, "Rowing Song" of Nampo City and Ganghwa-gun of Gyeonggi Province are resembled. In neighboring areas, even if the songs of different categorys, sometimes share a same melody. In a certain category, sometimes a same melody is shared to a considerable distance. It was first identified that in anchovy or herring fishing or dybowskii' sand eel fishing, the "Song for Picking Up Fish" is widely shared in the East Sea Coast area.

• Cartoon and Animation Studies
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• s.49
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• pp.589-610
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• 2017

This study aimed at examining the music world of the composer Muczynski, who played an important and meaningful role in the various experimental trends of music which began to appear in the early $20^{th}$ century, and his works, thereby understanding his relationship with the development of music of various genres today. In the study, his pieces of piano music among his works, which formed the basis for his music, were analyzed. The study examined stylistic characteristics, that is techniques of various types including form, melody, harmony, tonality, rhythm and structure, and introduced the composer's growth in terms of music and philosophical background. Muczynski, the composer who showed the characteristics of neoclassicism, neoromanticism and neobaroque in contrast to the various forms of the $20^{th}$ music, namely music of free styles including atonal music, twelve-tone technique, avant-garde music and electronic music, used traditional forms. However, the characteristics of his works are very free. In addition, in the 1960s, he participated in the production of documentary movie music, creating very creative and sensational music. Muczynski's music has the features of tonality and shows neoclassic and neoromantic features including economical idea, lyrical melody, bitonality and nine-note scale. His music, therefore, is being evaluated as very creative and valuable and is largely significant in that it has provided a good basis for the development of modern movie music and jazz music today.

• Journal of the Institute of Electronics Engineers of Korea SP
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• v.43 no.6 s.312
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• pp.28-35
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• 2006

Statistical models of shape variability based on active shape models (ASMs) have been successfully utilized to perform segmentation and recognition tasks in two-dimensional (2D) images. Three-dimensional (3D) model-based approaches are more promising than 2D approaches since they can bring in more realistic shape constraints for recognizing and delineating the object boundary. For 3D model-based approaches, however, building the 3D shape model from a training set of segmented instances of an object is a major challenge and currently it remains an open problem in building the 3D shape model, one essential step is to generate a point distribution model (PDM). Corresponding landmarks must be selected in all1 training shapes for generating PDM, and manual determination of landmark correspondences is very time-consuming, tedious, and error-prone. In this paper, we propose a novel automatic method for generating 3D statistical shape models. Given a set of training 3D shapes, we generate a 3D model by 1) building the mean shape fro]n the distance transform of the training shapes, 2) utilizing a tetrahedron method for automatically selecting landmarks on the mean shape, and 3) subsequently propagating these landmarks to each training shape via a distance labeling method. In this paper, we investigate the accuracy and compactness of the 3D model for the human liver built from 50 segmented individual CT data sets. The proposed method is very general without such assumptions and can be applied to other data sets.

• The Journal of Information Technology
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• v.7 no.2
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• pp.93-104
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• 2004

Sports scene is characterized by large amount of global motion due to pan and zoom of camera motion, and includes many small objects moving independently. Some short period of sports games is thrilling to televiewers, and important to producers. At the same time that kinds of scenes exhibit exceptionally dynamic motions and it is very difficult to analyze the motions with conventional algorithms. In this thesis, several algorithms are proposed for global motion analysis on these dynamic scenes. It is shown that proposed algorithms worked well for motion compensation and panorama synthesis. When cascading the inter frame motions, accumulated errors are unavoidable. In order to minimize these errors, interpolation method of motion vectors is introduced. Affined transform or perspective projection transform is regarded as a square matrix, which can be factorized into small amount of motion vectors. To solve factorization problem, we preposed the adaptation of Newton Raphson method into vector and matrix form, which is also computationally efficient. Combining multi frame motion estimation and the corresponding interpolation in hierarchical manner enhancement algorithm of motion parameters is proposed, which is suitable for motion compensation and panorama synthesis. The proposed algorithms are suitable for special effect rendering for broadcast system, video indexing, tracking in complex scenes, and other fields requiring global motion estimation.

• Journal of Broadcast Engineering
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• v.14 no.2
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• pp.238-252
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• 2009

Due to the rapid increase of available contents via the convergence of broadcasting and internet, the efficient access to personally preferred contents has become an important issue. In this paper, for recommendation scheme for TV programs using a collaborative filtering technique is studied. For recommendation of user preferred TV programs, our proposed recommendation scheme consists of offline and online computation. About offline computation, we propose reasoning implicitly each user's preference in TV programs in terms of program contents, genres and channels, and propose clustering users based on each user's preferences in terms of genres and channels by dynamic fuzzy clustering method. After an active user logs in, to recommend TV programs to the user with high accuracy, the online computation includes pulling similar users to an active user by similarity measure based on the standard preference list of active user and filtering-out of the watched TV programs of the similar users, which do not exist in EPG and ranking of the remaining TV programs by proposed rank model. Especially, in this paper, the BM (Best Match) algorithm is extended to make the recommended TV programs be ranked by taking into account user's preferences. The experimental results show that the proposed scheme with the extended BM model yields 62.1% of prediction accuracy in top five recommendations for the TV watching history of 2,441 people.

• The Journal of the Acoustical Society of Korea
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• v.24 no.8
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• pp.498-504
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• 2005

We introduce a Korean speech recognition platform (ECHOS) developed for education and research Purposes. ECHOS lowers the entry barrier to speech recognition research and can be used as a reference engine by providing elementary speech recognition modules. It has an easy simple object-oriented architecture, implemented in the C++ language with the standard template library. The input of the ECHOS is digital speech data sampled at 8 or 16 kHz. Its output is the 1-best recognition result. N-best recognition results, and a word graph. The recognition engine is composed of MFCC/PLP feature extraction, HMM-based acoustic modeling, n-gram language modeling, finite state network (FSN)- and lexical tree-based search algorithms. It can handle various tasks from isolated word recognition to large vocabulary continuous speech recognition. We compare the performance of ECHOS and hidden Markov model toolkit (HTK) for validation. In an FSN-based task. ECHOS shows similar word accuracy while the recognition time is doubled because of object-oriented implementation. For a 8000-word continuous speech recognition task, using the lexical tree search algorithm different from the algorithm used in HTK, it increases the word error rate by $40\%$ relatively but reduces the recognition time to half.