Earticle

초록

영어

The sun is the unlimited energy source for life on the earth. However, besides as the energy source, the sun also gives disruptions to the universe around the earth and also to the life on the earth. Sources of the disruptions from the sun are flares and Coronal Mass Ejection/CME. Both of those disruptions in general come from group of sunspots. With the growing of dependency of human life with modern technology, either facility on the surface of the earth or in universe around the earth, the disruptions from the sun should be anticipated. In order to know the complexity level of sunspot groups and their activity, Modified-Zurich sunspot classification is used. Image of sunspots can be taken using the Michelson Doppler Imager instrument (MDI) Continuum / SOHO (Solar and Heliospheric Observatory). This research was conducted on the automatic classification of sunspot group that can be used to analyze the space weather conditions and provide information to the public. There are two stages to classify sunspot groups namely feature extraction and pattern recognition. For feature extraction, we used digital image processing to get features of sunspot group, and for pattern recognition, we used artificial neural network. We compared 3 methods of artificial neural networks to get the best result of classification namely backpropagation, probabilistic and combination between self-organizing map and k-nearest neighbor. Among three of them, probabilistic neural network gave the best classification result.

목차

Abstract
 1. Introduction
 2. Feature Extraction
  2.1. Watershed Segmentation
 3. Artificial Neural Network
  3.1. Backpropagation Neural Network
  3.2. Probabilistic Neural Network
  3.3. Combination of Self-Organizing Map and K-Nearest Neighbor Neural Network
 4. System Design and Experimental Result
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Rudy Adipranata [ Informatics Dept., Petra Christian University, Surabaya, Indonesia ]
• Gregorius Satia Budhi [ Informatics Dept., Petra Christian University, Surabaya, Indonesia ]
• Bambang Setiahadi [ Indonesian National Institute of Aeronautics and Space (LAPAN), Watukosek, Indonesia ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605