4 results listed
In this study, Artificial Atom Algorithm, which is a new meta-heuristic algorithm approach, have been used to calculate the threshold value which is frequently performed in image processing applications. The entropy-based method has been adopted for the target function which is common in the meta-heuristic algorithms. For this aim, Shannon entropy and a new entropy method, Fractional Order Entropy, have been used. It is seen on standard test images that the Artificial Atom Algorithm can be applied to image processing applications. In addition, the results of the application were supported by comparing the values produced by certain parameters of fractional entropy with the values produced by Shannon Entropy.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Burak Açma
Emine Çiftçi
Burhan Selcuk
Optimization algorithms yield acceptable results in
the shortest time, even if they cannot always guarantee the best
end result in the given problem. There are classical mathematical
methods and meta-heuristic methods that have become very
popular for solving optimization problems. Meta-heuristic
algorithms can be categorized in many type such as physics based,
social based, biological based, chemistry based, sport based,
swarm based, mathematics based and also hybrid based. In this
study, the Artificial Atom Algorithm (A3) is applied in parallel to
solve the Traveling Salesman Problem (TSP). A3 is chemistrybased
technique that is improved by inspired the compounding
process of atoms and the application of parallel A3 is particularly
easy and promises significant gains in performance especially for
large scale TSP. TSP is one of the route planning problems that
finds the lowest cost path of visiting all the cities on the giving map
and returns to starting point, it was aimed to plan the best route.
The performance of algorithm in terms of the city number, the
route distance and the calculation time of this route will be
examined. An interface will be designed to implement the
application and observe the experimental results.
International Conference on Advanced Technologies, Computer Engineering and Science
ICATCES
Ayşe Nur Altintaş Tankül
Burhan Selcuk
Bu çalışmada akademisyenlerin yayınları kullanılarak yayından yazara birliktelik
analizi yapılmış ve akademik çalışma grupları oluşturulmaya çalışılmıştır. Yayınların başlık,
anahtar kelime, özetlerinde geçen kelimeler morfolojik olarak köklerine ayrılmış, metinsel
temizleme yapılmış ve Empati-Çıkar yöntemi kullanılarak benzerlik/yakınlık katsayıları
hesaplanmıştır. Oluşan benzerlik/yakınlık matrisi kullanılarak yayında katkısı bulunan yazarlar
yakınlıklarına göre çalışma gruplarına dahil edilmeye çalışılmıştır.
International Data Science & Engineering Symposium
IDSES
Ömer Faruk ACAR
Burhan Selcuk
Bu çalışmada, Türkçe yayınlanan akademik makaleler arasındaki birliktelik analizi incelenmiştir. Makalelerdeki anahtar kelimeler, başlıklar ve özetler için empati-çıkar yöntemi kullanılmıştır ve böylece diğer yöntemlerden daha hızlı ve etkili bir şekilde ortak çalışma grupları elde edilmiştir.
Akademik Bilişim
AB
Ömer Faruk ACAR
Burhan Selcuk