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Öğe Kırılma indisi yapı parametresinin olasılık dağılımı(IEEE, 2017) Yazar, İbrahim; Yenice, Yusuf Erkan; Sarı, FilizBina dışı kablosuz optik haberleşme sistemlerinin analiz ve tasarımı için en önemli parametre olan kırılma indisi yapı parametresinin olasılık yoğunluk fonksiyonunu belirleyen herhangi bir teorik temel bulunmayıp, uygulamada lognormal veya beta dağılımlarından biri tercih edilmektedir. Bu çalışmada kamuya açık bir veri kümesi, Pearson sınıflandırması ve momentler yöntemi kullanılarak, olasılık dağılımının lognormal dağılımdaki gibi sadece tek taraftan veya beta dağılımındaki gibi iki taraftan sınırlı olup olmadığı araştırılmış ve iki taraftan da sınırlı olduğu yönünde ipuçları elde edilmiştir.Öğe A similarity measure across ontologies for web services discovery(IGI Global, 2018) Fellah, Aissa; Malki, Mimoun; Elçi, AtillaGiven the critical and difficult nature of discovering Web services in the development process of service oriented architectures, several studies have been proposed to solve this problem. There is a real need to work for matching semantic Web services which use different ontologies. In responding to this need, measuring semantic similarity between SWS may be reduced to the calculation of similarity between ontological concepts. This work is a contribution to achieve semantic interoperability for Web services in a multi-ontology environment, for which the authors present a generic framework for Web services discovery. Here their focus is on the semantic similarity measure-based core of their framework and the authors present a novel algorithm for concepts matching between different ontologies. Results of the experiments confirm the viability of the semantic similarity measure.Öğe Semantic modelling for e-learning coordination(IGI Global, 2016) Elçi, Atilla; Çelik Ertuğrul, Duygu; Elçi, AlevThis chapter reports a metadata model for e-learning coordination based on content semantics grounded on Semantic Web concepts. To start with, e-learning models are surveyed identifying process content, such as phases, activities, data schema, rules and relations, so on, as relevant for a coordination model. The study looks into the mechanism of e-learning environment and how e-learning processes can be classified for purposes of activity coordination. A metadata model for coordination of e-learning is being sought as expressed in Semantic Web concepts and transcribed using the related languages like OWL, RDF, SPARQL and others. A learner centric proposal is advanced which augments the IEEE Learning Technology Standards Committee's industry leader Learning Technology System Architecture. Examples are worked out and future research directions are identified. This is a continuing research project on application of Semantic Web initiative in e-learning; i.e., design and development of markup and annotation tools, relevant ontologies and intelligent agents in meeting learner needs. © 2016 by IGI Global. All rights reserved.Öğe Dynamic quota calculation system (DQCS): Pricing and quota allocation of telecom customers via data mining approaches(IGI Global, 2018) Çelenk, Ulaş; Çelik Ertuğrul, Duygu; Zontul, Metin; Elçi, Atilla; Uçan, Osman NuriOne of the most important IT sectors that requires big data management is mobile data communication systems (MDCS) of GSM companies. In the charging mechanism of current MDCS, a subscriber "surfs" on the internet that creates data traffic and a counter subtracts the amount of data used by the user from the subscriber's quota. In other words, instant constant quota values are assigned to subscribers without concern for their previous amount of internet usage in current MDCS. Moreover, constant quota values cause constant charge calls in control traffic that are repeated for all new quota requests. Thus, performance degradation occurs because of the repetition of quota request calls and allocations. In this chapter, a dynamic quota calculation system (DQCS) is proposed for dynamic quota allocations and charging in MDCS using data mining approaches as two cascaded blocks. The first block is selforganizing map (SOM) clustering based on a sliding window (SW) methodology followed by the second block, which is the markov chain (MC); the overall system is denoted as "SOM/SW and MC." © 2018, IGI Global.Öğe Educational activity suggestion system of children with pervasive developmental disorder for guiding education and training staff activities(IGI Global, 2018) Ertuğrul Çelik, Duygu; Elçi, AtillaIndividuals with pervasive developmental disorders should be supported with special education programs that are planned according to the type and degree of the disorder, age, characteristics, and needs of the individual. Search over internet resources may provide suitable educational material and methods (and associated activity/game). However, syntactic search in today's static-based internet is insufficient to offer desired relevant results. An intelligent system able to identify the needed educational methods and material with the help of semantic web-based agents will not only contribute to the development of individuals with disorders, and support education specialists in this process, but also be extremely useful for the families of these individuals in assisting and monitoring their child's developmental progress. In this chapter, an agent-based educational activity suggestion system of children with pervasive developmental disorder for guiding education and training staff activities is proposed
