Çankaya GCRIS Standart veritabanının içerik oluşturulması ve kurulumu Research Ecosystems (https://www.researchecosystems.com) tarafından devam etmektedir. Bu süreçte gördüğünüz verilerde eksikler olabilir.

Browsing by Author "Maraş, Hadi Hakan"

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    CBS Tabanlı Suç Analizi Yöntemleri
    (2013) Özçetin, M.; Maraş, Hadi Hakan; 34410; Bilgisayar Mühendisliği
    Coğrafi Bilgi Sistemleri (CBS) günlük hayatımızda önemi sürekli olarak artan uygulamalara sahiptir. CBS’nin popüler ve kritik uygulama alanlarından biri de mekânsal suç analizidir. Günümüzde suç oranları artış göstermekte ve bu yüzden suç eğilimlerini analiz etmek ve suçu önleyici tedbirler almak büyük önem arz etmektedir. Suçlar çoğu zaman mekânsal ve zamansal modeller göstermektedir. Örneğin, bazı suç türleri bazı lokasyonlarda nispeten yüksek oranlarda işlenebilmektedir. Bazıları ise gün içinde belli saat aralıklarında yüksek oranlarda olabilmektedir. Klasik suç analiz yöntemlerine coğrafi destek eklemek, tablosal veya istatistiksel metotların sunamayacağı son derece önemli ve müstesna faydalar sağlayabilir. Örneğin, belli bir suç türünün mekânsal dağılımını görmek veya farklı suç türlerinin lokasyonlarını harita üzerinde karşılaştırmak, karar verme pozisyonundaki yöneticilere kritik ve önemli ipuçları verebilir. Bu yüzden, suç analiz yöntemlerine mekânsal boyut katmak emniyet birimlerindeki çalışmalara önemli bir destek sağlamaktadır
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    Covariance Features for Trajectory Analysis
    (Kaunas Univ Technology, 2018) Karadeniz, Talha; Maraş, Hadi Hakan; 304886; 34410; Yazılım Mühendisliği; Bilgisayar Mühendisliği
    In this work, it is demonstrated that covariance estimator methods can be used for trajectory classification. It is shown that, features obtained via shrunk covariance estimation are suitable for describing trajectories. Compared to Dynamic Time Warping, application of explained technique is faster and yields more accurate results. An improvement of Dynamic Time Warping based on counting statistical comparison of base distance measures is also achieved. Results on Australian Sign Language and Character Trajectories datasets are reported. Experiment realizations imply feasibility through covariance attributes on time series.
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    Did satellite imagery supersede aerial imagery? A perspective from 3D geopositioning accuracy
    (2016) Yilmaz, Altan; Erdogan, Mustafa; Maraş, Hadi Hakan; Aktuğ, Bahadır; Maraş, Süleyman Sırrı; 34410; Bilgisayar Mühendisliği
    In this study, the geometric accuracy comparison of aerial photos and WorldView-2 satellite stereo image data is evaluated with the different number and the distribution of the ground control points (GCPs) on the basis of large scale map production. Also, the current situation of rivalry between airborne and satelliteborne imagery was mentioned. The geometric accuracy of Microsoft UltraCam X 45 cm ground sampling distance (GSD) aerial imagery and WorldView-2 data both with and without GCPs are also separately analyzed. The aerial photos without any GCP by only using global navigation satellite system (GNSS) and inertial measurement unit (IMU) data with tie points give an accuracy of +/- 1.17 m in planimetry and +/- 0.71 m in vertical that means nearly two times better accuracy than the rational polynomial coefficient (RPC) of stereo WorldView-2. Using one GCP affects the accuracies of aerial photos and WorldView-2 in different ways. While this situation distorts the aerial photo block, it corrects the shift effect of RPC in WorldView-2 and increases the accuracy. By using four or more GCPs, 1/2 pixel (similar to 0.23 m) accuracy in aerial photos and 1 pixel (similar to 0.50 m) accuracy in WorldView-2 can be achieved in horizontal. In vertical, aerial photos have 1 pixel (similar to 0.55 m) and WorldView-2 has 1.5 pixels (similar to 0.85 m) accuracy. These results show that Worldview-2 imagery can be used in the production of class I 1: 5000 scale maps according to the ASPRS Accuracy Standards for Digital Geospatial Data in terms of geometric accuracy. It is concluded that the rivalry between aerial and satellite imagery will continue for some time in the future.
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    Problems of Gaining Neuronavigation Skills on Surgical Education Programs: A case study in Turkey
    (2016) Cağıltay, Nergiz Ercil; Borcek, Alp Özgün; Tokdemir, Gül; Maraş, Hadi Hakan; Topallı, Damla; 17411; 34410; Bilgisayar Mühendisliği
    Neuronavigation technology is one of the important technologies that supports and guides the surgeons during the surgical procedures. Availability of this technology for the surgical education programs to gain the skills of using this technology effectively and efficiently during the surgical operations as well as availability of this technology in the operating room is critical for improving the surgical operations’ performance. In this study, the availability of this technology for the neurosurgical operations is researched through a quantitative research conducted by 220 neuro surgeons in Turkey. Based on the results of this study, suggestions for the education technology developers for creating technology enhanced education programs to increase the navigation skill levels of the candidate surgeons are developed. The results of this study aimed to improve the quality of the surgical education programs and the performance of the surgical procedures.
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    Türk beyin cerrahlarının teknolojiye ulaşım imkanları
    (2016) Börcek, Alp Özgün; Çağıltay, Nergiz; Tokdemir, Gül; Maraş, Hadi Hakan; 17411; 34410; Yazılım Mühendisliği; Bilgisayar Mühendisliği