Türkiye’de 1999 yılında meydana gelen deprem felaketlerinin ardından, bölgede yaşanan hasarların giderilmesi için yapılacak harcamalarının finansmanı amacıyla bazı yeni vergiler yürürlüğe konmuştur. Geride kalan 21 yıllık süreçte bu vergilerin bir kısmı yürürlükten kalkmış, ise kalıcı hale gelmiştir. 2020 Elazığ ve İzmir depremlerinin vergilerden elde edilen gelirlerin neden harcamaları kullanı...

identifying role of extension system in adoption of new technologies have important role to developing favorable extension systems. for supporting sustainable agriculture in iran needs extension systems to be carefully thought and accurately implemented. the purpose of this is analyzing role of extension activities in adoption of sustainable agriculture. based on the results the attending agric...

noise removal operation is commonly applied as pre-processing step before subsequent image processing tasks due to the occurrence of noise during acquisition or transmission process. a common problem in imaging systems by using cmos or ccd sensors is appearance of  the salt and pepper noise. this paper presents cellular automata (ca) framework for noise removal of distorted image by the salt an...

in the software development process, testing is one of the most human intensive steps. many researchers try to automate test case generation to reduce the manual labor of this step. negative selection is a famous algorithm in the field of artificial immune system (ais) and many different applications has been developed using its idea. in this paper we have designed a new algorithm based on nega...

improvement in braking performance and vehicle stability can be achieved through the use of braking systems whose brake force distribution is variable. electronic braking force distribution has an important and serious role in the vehicle stopping distance and stability. in this paper a new approach will be presented to achieve the braking force distribution strategy for articulated vehicles. f...

This paper presents a framework for analyzing and predicting the performances of a business process, based on historical data gathered during its past enactments. The framework hinges on an inductive-learning technique for discovering a special kind of predictive process models, which can support the run-time prediction of a given performance measure (e.g., the remaining processing time/steps) ...