The dramatic growth of machine-to-machine (M2M) communication in cellular networks brings the challenge of satisfying the quality of service (QoS) requirements of a large number of M2M devices with limited radio resources. In this paper we propose an optimization framework for the semi-persistent scheduling of M2M transmissions based on the exploitation of their periodicity with the goal of reducing the overhead of the signaling required for connection initiation and scheduling. The goal of the ...

Purpose - The aim of this research is to examine the major factors affecting patients' perception of cumulative satisfaction and to address the question whether patients in Istanbul evaluate quality of health care to be similar or different to that of the Kazakhstani Egyptian and Jordanian patients. Design/methodology/approach - A conceptual model including behavioural dimensions of patient-physician relationships and patient satisfaction has been used for approach. As the empirical research setting ...

Augmenting a Mincerian earnings function with regional data we estimate both private and external returns to education in Turkey using Instrumental Variables, Ordinary Least Squares, Quantile Regression and Instrumental Variables Quantile Regression methods. Our results indicate a median external return between 1.5% and 2.3% for 2006–2009. There is some evidence supporting the skill-biased technical change hypothesis. External returns are uniformly higher for women. We point out some policy implications.

We analyze the relationship between financing constraints and firms' R&D activity using a rich and comprehensive firm-level balance sheet and income statement data set of manufacturing firms in Turkey for the period 1996 to 2013. Using a firm-specific, time-varying financing constraints index, we find that financing constraints have a negative relationship with firms' R&D activity, after controlling for other determinants of R&D such as firm size, capital intensity and export market participation.

We address the implementation of radio frequency identification (RFID) technology to support and manage durable products over their entire lifecycle with a focus on optimising the RFID tagging system. We develop general models that optimise the placement of RFID tags on an end product and its components the allocation of the data on tags and the selection of RFID tags and their configuration. The primary criteria for optimisation are to maximise the value of RFID data and to minimise the total ...

This study explores the significance of Istanbul's railway heritage and discusses the criteria for evaluating the historical importance architectural value and social issues surrounding the city's rail system leading into an examination of the consequences of the Marmaray Project. The Marmaray Project is a commuter rail system designed to unify Istanbul's two independent rail transportation systems and it will connect Halkali on the European side with Gebze on the Asian side of the city. With the ...

Kötü amaçlı yazılımın davranışı, sistem koruma yazılımının stratejilerini etkileyen kötü amaçlı yazılım türlerine bağlı olarak değişir. Yapay ve/veya derin öğrenme ile güçlendirilmiş bir ̧cok kötü amaçlı yazılım sınıflandırma modeli, kötü amaçlı yazılım türlerini tahmin etmek için üstün doğruluklar elde eder. Yapay öğrenme tabanlı modeller performanslarını büyük ölçüde etkileyen ağır öznitelik mühendisliği çalışmalarına ihtiyaç duyarlar. ̈Ote yandan, derin öğrenme tabanlı modeller, yapay öğrenme ...

China has recorded remarkable growth rates for three and a half decades. Recently, the annual growth rate has slowed down and is projected to decline gradually to 5 % by 2030. This article examines how high economic growth was realized in the past and whether it can be sustained in the future. In doing this, the paper takes into consideration the projections about future growth rates. The article emphasizes that the main reason for the reduction in the future growth rates is the ...

It is expected from future communication standards that channel estimation algorithms should be able to operate over very fast varying frequency selective channel models. Therefore in this study autoregressive (AR) modeled fast varying channel has been considered and tracked with Kalman filter over one orthogonal frequency division multiplexing (OFDM) symbol. Channel sparsity is exploited which decreases the complexity requirements of the Kalman algorithm. Since Kalman filter is not directly ...