TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.14365/4

Browse

Now showing 1 - 2 of 2

Integrated Modeling of Disaster Emergency Response Activities Using Simulation: Bornova Case Study
(2016) Gökçe, Mahmut Ali; Kılıç, Aslı; Dinçer, Mehmet Cemali
We present a detailed integrated simulation model for two processes: casualty transportation and emergency room management after a major disaster. The two important processes have generally been discussed separately in literature. However, to be able to correctly evaluate preparedness of disaster and emergency, and minimize potential loss of lives, it is important that these two interconnected processes are analysed together. The purpose of this study is to present an integrated simulation model of victim transportation and treatment processes after a major disaster and use the proposed model in a case study for Bornova, a district of the city of İzmir in Turkey. Simulation model is run with a detailed experimental design and results are statistically analysed. We find out and report the importance of correct distribution of ambulances to regions and rules for better management of capacities of constrained medical resources in order to minimize total loss of lives.
Stop Word Detection as a Binary Classification Problem
(2017) Karaoğlan, Bahar; Metin, Senem Kumova
In a wide group of languages, the stop words, which have only grammatical roles and not contributing to information content, may be simply exposed by their relatively higher occurrence frequencies. But, in agglutinative or inflectional languages, a stop word may be observed in several different surface forms due to the inflection producing noise. In this study, some of the well-known binary classification methods are employed to overcome the inflectional noise problem in stop word detection. The experiments are conducted on corpora of an agglutinative language, Turkish, in which the amount of inflection is high and a non-agglutinative language, English, in which the inflection is lower for stop words. The evaluations demonstrated that in Turkish corpus, the classification methods improve stop word detection with respect to frequency-based method. On the other hand, the classification methods applied on English corpora showed no improvement in the performance of stop word detection.

Browse

Browsing TR Dizin İndeksli Yayınlar Koleksiyonu / TR Dizin Indexed Publications Collection by Journal "Anadolu Üniversitesi Bilim ve Teknoloji Dergisi :A-Uygulamalı Bilimler ve Mühendislik"