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Makine öğrenmesi algoritmalarıyla astronomik gözlem kalitesi tahminine yönelik karar destek sistemi geliştirilmesi ve uygulanması

Year 2022, Volume: 36 Issue: 3, 289 - 303, 15.07.2022

Abstract

Kurulumunun tamamlanmasıyla birlikte araştırmacıların kullanımına sunulması planlanan Doğu Anadolu Gözlemevi (DAG) teleskobunun etkin ve verimli kullanımı önem arz etmektedir. Bu çalışma kapsamında araştırmacılar tarafından sunulan projelerin, gözlemevinin bulunduğu bölgenin yerel özellikleri dikkate alınarak gözlem türüyle eşleştirilmesi, değerlendirilmesi ve en uygun güne atanmasına yönelik karar destek sistemi geliştirilmesi amaçlanmaktadır. Bu amaç doğrultusunda öncelikle Naive Bayes, K En Yakın Komşu, Karar Ağacı ve Rastgele Orman algoritması kullanılarak dört farklı algoritmanın performansları değerlendirilmiş, yeniden örnekleme yöntemleri uygulanmış ve öz niteliklerin sonuca etkisi incelenmiştir. Sonrasında MAUT yönteminden esinlenilerek her bir proje için yarar fonksiyonu formülünü barındıran fayda değerlerinin hesaplanmasına dayalı karar destek modeli geliştirilmiştir. Fayda değerleri projeler için başarı puanını temsil etmektedir. Projeler, gözlem türüne göre sınıflandırılarak başarı puanına göre büyükten küçüğe sıralanmıştır. Sonrasında önceden tahmin edilen gözlem türleri doğrultusunda projeler önceliklendirilerek ilgili günlere atanmıştır. Geliştirilen karar destek modeli ile teleskobun etkin ve verimli kullanımıyla birlikte değerlendirme sürecinin otomatikleştirilmesi amaçlanmaktadır.

References

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Developing and implementing a decision support system for astronomical observation quality estimation with machine learning algorithms

Year 2022, Volume: 36 Issue: 3, 289 - 303, 15.07.2022

Abstract

References

  • Agarwal, M., Rao, K. K., Vaidya, K., & Bhattacharya, S. (2021). ML-MOC: Machine Learning (kNN and GMM) based Membership determination for Open Clusters. Monthly Notices of the Royal Astronomical Society, 502(2), 2582-2599.
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  • Ahmadzadeh, A., Aydin, B., Georgoulis, M. K., Kempton, D. J., Mahajan, S. S., & Angryk, R. A. (2021). How to Train Your Flare Prediction Model: Revisiting Robust Sampling of Rare Events. The Astrophysical Journal Supplement Series, 254(2), 23.
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  • Arsioli, B., & Dedin, P. (2020). Machine learning applied to multifrequency data in astrophysics: blazar classification. Monthly Notices of the Royal Astronomical Society, 498(2), 1750-1764.
  • Ballica, Y. (2020). Savunma Sanayi Projelerinin Analitik Hiyerarşi Süreci Yöntemi Kullanilarak Önceliklendirilmesi. Yüksek Lisans Tezi. Sosyal Bilimler Enstitüsü, Hacettepe Üniversitesi.
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  • Cheng, Q. B., Feng, C. J., Zhai, X. H., & Li, X. Z. (2021). Artificial neural network spectral light curve template for type Ia supernovae and its cosmological constraints. Modern Physics Letters A, 36(21), 2150149.
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  • Du Buisson, L., Sivanandam, N., Bassett, B. A., & Smith, M. (2015). Machine learning classification of SDSS transient survey images. Monthly Notices of the Royal Astronomical Society, 454(2), 2026-2038.
  • Elyiv, A. A., Melnyk, O. V., Vavilova, I. B., Dobrycheva, D. V., & Karachentseva, V. E. (2020). Machine-learning computation of distance modulus for local galaxies. Astronomy & Astrophysics, 635, A124.
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  • Norris, R. P. (2017). Discovering the unexpected in astronomical survey data. Publications of the Astronomical Society of Australia, 34.
  • Pawlak, M., Pejcha, O., Jakubčík, P., Jayasinghe, T., Kochanek, C. S., Stanek, K. Z., ... & Will, D. (2019). The ASAS-SN catalogue of variable stars–IV. Periodic variables in the APOGEE survey. Monthly Notices of the Royal Astronomical Society, 487(4), 5932-5945.
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  • Saux, A. L., Bugnet, L., Mathur, S., Breton, S. N., & Garcia, R. A. (2019). Automatic classification of K2 pulsating stars using machine learning techniques. SF2A 2019, arXiv:1906.09611v1.
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There are 60 citations in total.

Details

Primary Language Turkish
Subjects Economics
Journal Section Research Articles
Authors

Ömer Çağrı Yavuz 0000-0002-6655-3754

Ersin Karaman 0000-0001-5459-4172

Cahit Yeşilyaprak 0000-0002-9481-2848

Publication Date July 15, 2022
Published in Issue Year 2022 Volume: 36 Issue: 3

Cite

APA Yavuz, Ö. Ç., Karaman, E., & Yeşilyaprak, C. (2022). Makine öğrenmesi algoritmalarıyla astronomik gözlem kalitesi tahminine yönelik karar destek sistemi geliştirilmesi ve uygulanması. Trends in Business and Economics, 36(3), 289-303.

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