Automatic Classification of Korean Traditional Music Using Robust Multi-feature Clustering

2005 ◽  
pp. 1025-1029
Author(s):  
Kyu-Sik Park ◽  
Youn-Ho Cho ◽  
Sang-Hun Oh
Keyword(s):  
Traditional Music ◽  
Automatic Classification ◽  
Feature Clustering ◽  
Korean Traditional Music

scholarly journals COEXISTENCE OF CLASSICAL MUSIC AND GUGAK IN KOREAN CULTURE

2020 ◽  
Vol 5 ◽  
pp. 67-99
Author(s):  
So Hyun Park
Keyword(s):  
Classical Music ◽  
Traditional Music ◽  
Musical Instruments ◽  
Colonial Period ◽  
New Music ◽  
Flowering Period ◽  
Korean Culture ◽  
Korean Traditional Music ◽  
Japanese Colonial

Classical music and Korean traditional music ‘Gugak’ in Korean culture try various ways such as creating new music and culture through mutual interchange and fusion for coexistence. The purpose of this study is to investigate the present status of Classical music in Korea that has not been 200 years old during the flowering period and the Japanese colonial period, and the classification of Korean traditional music and musical instruments, and to examine the preservation and succession of traditional Gugak, new Korean traditional music and fusion Korean traditional music. Finally, it is exemplified that Gugak and Classical music can converge and coexist in various collaborations based on the institutional help of the nation. In conclusion, Classical music and Korean traditional music try to create synergy between them in Korean culture by making various efforts such as new attempts and conservation.

Interpreting HVEM of muscle-cell impulse networks

1992 ◽  
Vol 50 (1) ◽  
pp. 126-127
Author(s):  
Paul DeCosta ◽  
Kyugon Cho ◽  
Stephen Shemlon ◽  
Heesung Jun ◽  
Stanley M. Dunn
Keyword(s):  
Structural Analysis ◽  
Muscle Cell ◽  
Electron Micrographs ◽  
Relative Size ◽  
Automatic Classification ◽  
Nerve Fibers ◽  
Analysis Algorithm ◽  
Structural Networks

Introduction: The analysis and interpretation of electron micrographs of cells and tissues, often requires the accurate extraction of structural networks, which either provide immediate 2D or 3D information, or from which the desired information can be inferred. The images of these structures contain lines and/or curves whose orientation, lengths, and intersections characterize the overall network.Some examples exist of studies that have been done in the analysis of networks of natural structures. In, Sebok and Roemer determine the complexity of nerve structures in an EM formed slide. Here the number of nodes that exist in the image describes how dense nerve fibers are in a particular region of the skin. Hildith proposes a network structural analysis algorithm for the automatic classification of chromosome spreads (type, relative size and orientation).

An Enhanced Technique for Classification of Fruits using Shape Color and Texture Features

2017 ◽  
Vol 7 (7) ◽  
pp. 408
Author(s):  
Yashpal Jitarwal ◽  
Tabrej Ahamad Khan ◽  
Pawan Mangal
Keyword(s):  
Image Processing ◽  
Texture Features ◽  
Automatic Classification ◽  
Processing Technique ◽  
Image Processing Technique ◽  
Advance Technique ◽  
Time Required ◽  
Fruit Sorting ◽  
Human Inspection

In earlier times fruits were sorted manually and it was very time consuming and laborious task. Human sorted the fruits of the basis of shape, size and color. Time taken by human to sort the fruits is very large therefore to reduce the time and to increase the accuracy, an automatic classification of fruits comes into existence.To improve this human inspection and reduce time required for fruit sorting an advance technique is developed that accepts information about fruits from their images, and is called as Image Processing Technique.

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