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Publication Metadata only SCORING: Towards Smart Collaborative cOmputing, caching and netwoRking paradIgm for Next Generation communication infrastructures(IEEE, 2022) Hmitti, Zakaria Ait; Ben Ammar, Hamza; Soyak, Ece Gelal; Kardjadja, Youcef; Malektaji, Sepideh; Ali, Soukaina Ouledsidi; Rayani, Marsa; Saqib, Muhammad; Taghizadeh, Seyedreza; Ajib, Wessam; Elbiaze, Halima; Ercetin, Ozgur; Ghamri-Doudane, Yacine; Glitho, Roch; University of Quebec; University of Quebec Montreal; Sabanci University; Concordia University - Canada; Bahcesehir UniversityThe unprecedented increase of heterogeneous devices connected to the Internet, along with tight requirements of future networks, including 5G and beyond, poses new design challenges to network infrastructures. Collaborative computing, caching and communication paradigm together with artificial intelligence have the potential to enable the Next-Generation Networking Infrastructure (NGNI) that is needed to fulfill the stringent requirements of emerging applications. In this paper, we propose the SCORING project vision for reshaping the current network infrastructure towards an NGNI acting as a truly distributed, collaborative, and pervasive system that enables the execution of application-specific tasks and the storage of the related data contents in the Cloud-Edge-Mist continuum with high QoS/QoE guarantees.Publication Metadata only Throughput-maximizing OFDMA Scheduler for IEEE 802.11ax Networks(IEEE, 2020) Kuran, Mehmet Sukru; Dilmac, A.; Topal, Omer; Yamansavascilar, Baris; Avallone, Stefano; Tugcu, Tuna; Bahcesehir University; Bogazici University; University of Naples Federico IIIn this paper, we develop a novel throughput-maximizing OFDMA scheduler for the multi-user MAC framework for the IEEE 802.11ax networks. The scheduler works both in the downlink and uplink directions and assigns resource units to stations using a linear programming technique considering load of each client, possible resource unit configurations, modulation-coding scheme of each client, and ageing factor of each client's load. The performance of the proposed scheduler has been evaluated using the NS3 simulator and compared against the legacy MAC layer mechanism of IEEE 802.11 protocol (i.e., DCF/EDCA). Simulation results show that our proposed throughput-maximizing scheduler increases the total throughput in the network as well as decrease the average end-to-end delay regardless of the number of stations connected to the access point by prioritizing the traffic of clients connected via high modulation-coding schemes.Publication Metadata only Deciding which technology is the best for distance education: Issues in media/technology comparisons studies(ELSEVIER SCIENCE BV, 2011) Yengin, Ilker; Karahoca, Adem; Karahoca, Dilek; Uzunboylu, Huseyin; Karahoca, A; Kanbul, S; University of Nebraska System; University of Nebraska Lincoln; Bahcesehir University; Near East UniversityDistance education decision makers, who will be shaping the future of distance education, should understand the role of different technologies and their unique attributes closely. In order to achieve this task accurately, they also need to know the superiorities of different technologies to each other. Media comparison studies have been conducted to see these superiorities and to help deciding which technology is better? In some studies researchers make some fundamental errors and flaws in media comparison studies for distance learning. Hence, there is a need to determine these issues in order to make decision process work better. In this review study, issues on media comparison studies in distance education discussed with theoretical backgrounds. Also in this study, reader could find what kind of flaws can occur in media comparisons studies and what cause to these flaws as well as some suggestions to avoid these flaws. In this study, five of the most significant errors scholars have made in writing and discussing distance education research in technology/media comparisons studies are determined. This study aims to help distance education policy makers, distance education researchers and instructors by making them aware of these issues in comparison studies. Hence, they could make a more accurate decision when implementing distance learning solutions in their institutions. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.Publication Metadata only On the Structural Code Clone Detection Problem: A Survey and Software Metric Based Approach(SPRINGER-VERLAG BERLIN, 2014) Kapdan, Mustafa; Aktas, Mehmet; Yigit, Melike; Murgante, B; Misra, S; Rocha, AMAC; Torre, C; Rocha, JG; Falcao, MI; Taniar, D; Apduhan, BO; Gervasi, O; Turkish Airlines; Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK); Yildiz Technical University; Bahcesehir UniversityUnnecessary repeated codes (clones) have not been well documented and are difficult to maintain. Code clones may become an important problem in software development cycle and they must be fixed in all occurrences. This condition increases significantly software maintenance costs and required effort/duration for understanding the code. Over the years, many techniques have been proposed in order to minimize or prevent the code cloning problems. The main focus of these techniques is on the detection of clones. In such studies, code cloning is studied under two main categories: simple and structural. Simple clone is defined as the similarity that arises from the repetition of the code snippet in the software. Structural clone is defined as the similarity in software structure (i.e. design patterns and object oriented programming class relations). Simple clone detection techniques fail to determine the reasons of code repetition whether it is due to design or not, as they do not look at the code from a wider perspective for repetitive code snippets. In this study, we survey the existing structural clones approaches. We also introduce an approach that utilizes software quality metrics for detecting the structural code clones.Publication Metadata only Is SMS Still Alive For Education: Analysis Of Educational Potentials Of SMS technology?(ELSEVIER SCIENCE BV, 2011) Yengin, Ilker; Karahoca, Adem; Karahoca, Dilek; Uzunboylu, Huseyin; Karahoca, A; Kanbul, S; University of Nebraska System; University of Nebraska Lincoln; Bahcesehir University; Near East UniversityMobile phone, especially SMS concept is a fairly old technology. In spite of the fact that there are some applications of using SMS capabilities of mobile phones in education, the usage is not widely in all educational areas. Still, there is a need to understand how SMS technology could be applicable for education in different ways. Hence, in this study, authors' investigate possible educational use of SMS by providing a detailed analysis of the technology and examples of different research studies of successful implementations in education. This study may be a guide for school administrators and policy makers to understand educational technology potential of SMS by providing benefits and drawbacks of the technology. (C) 2010 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the Guest Editor.Publication Metadata only SkNet: A Convolutional Neural Networks Based Classification Approach for Skin Cancer Classes(IEEE, 2020) Jeny, Afsana Ahsan; Sakib, Abu Noman Md; Junayed, Masum Shah; Lima, Khadija Akter; Ahmed, Ikhtiar; Islam, Md Baharul; Daffodil International University; Khulna University of Engineering & Technology (KUET); Bahcesehir University; Daffodil International UniversitySkin Cancer is one of the most common types of cancer. A solution for this globally recognized health problem is much required. Machine Learning techniques have brought revolutionary changes in the field of biomedical researches. Previously, It took a significant amount of time and much effort in detecting skin cancers. In recent years, many works have been done with Deep Learning which made the process a lot faster and much more accurate. In this paper, We have proposed a novel Convolutional Neural Networks (CNN) based approach that can classify four different types of Skin Cancer. We have developed our model SkNet consisting of 19 convolution layers. In previous works, the highest accuracy gained on 1000 images was 80.52%. Our proposed model exceeded that previous performance and achieved an accuracy of 95.26% on a dataset of 4800 images which is the highest acquired accuracy.Publication Metadata only Optimizing the rate of a correlated MIMO link jointly over channel estimation and data transmission parameters(IEEE, 2008) Soysal, Alkan; Ulukus, Sennur; Bahcesehir University; University System of Maryland; University of Maryland College ParkWe consider a single-user correlated MIMO channel with block fading, where each block is divided into training and data transmission phases. The receiver has a noisy CSI that it obtains through a channel estimation process, while the transmitter has partial CSI in the form of covariance feedback. We optimize the achievable rate jointly over the parameters of the training and data transmission phases. In particular, we first choose the training signal to minimize the channel estimation error, and then, develop an iterative algorithm to solve for the optimum training duration, the optimum allocation of power between training and data transmission phases, and the optimum allocation of power over the antennas during the data transmission phase.Publication Metadata only An Elliptic Curve Cryptographic Processor Using Edwards Curves and the Number Theoretic Transform(SPRINGER-VERLAG BERLIN, 2015) Mentens, Nele; Batina, Lejla; Baktir, Selcuk; Ors, B; Preneel, B; KU Leuven; Interuniversity Microelectronics Centre; Radboud University Nijmegen; Bahcesehir UniversityHardware implementations of ECC processors based on Edwards curves are very useful for various applications of security due to the regularity of point operations. In this paper we explore one such direction taking advantage of the DFT modular multiplication in a special composite field of a prime characteristic. Our results show potential in terms of compactness while maintaining a feasible latency. We expect this approach to be more beneficial for side-channel security.Publication Metadata only A Holistic Methodology for Digital Governance Transition and Measuring Its Effect on Enterprise Companies(ASSOC COMPUTING MACHINERY, 2021) Ozturk, Ediz; Kocak, Taskin; Loukis, E; Macadar, MA; Nielsen, MM; Bahcesehir University; University of Louisiana System; University of New OrleansDigital transformation has become one of the most emphasized issues for organizations today. Organizations have a long way to go in this difficult road. First of all, they should develop and measure their governance skills, and then they need to create the necessary studies in both technological and managerial terms for IT systems to become a value. While doing all these, they should also create a risk management structure with a correct approach by performing consultancy, supervision, and evaluation services completely. In line with this whole process, there are different standards and practices in every field they need to follow. This paper presents a methodology proposition in a general perspective that can be applied end-to-end in the field of digitalization, starting from the governance structure to the IT value-adding strategy. Thanks to this new methodology, it is possible to see many processes such as governance, consultancy, digital transformation, auditing, internal control, which are disconnected from each other, in the big picture and arrange all activities accordingly. With long-term follow-up, the strategic and tactical perspectives of institutions can be created and their progress over time can be followed by this new methodology. This paper performs both qualitative and quantitative measurements of the applications of the new methodology to compare them with existing ones. This methodology introduces a holistic methodology lacking in the market.Publication Metadata only Analyzing Playability in Multi-platform Games: A Case Study of the Fruit Ninja Game(SPRINGER INTERNATIONAL PUBLISHING AG, 2016) Aker, Cakir; Rizvanoglu, Kerem; Inal, Yavuz; Yilmaz, Alan Sarp; Marcus, A; Bahcesehir University; Galatasaray University; Turkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)Video games offer new perspectives for discussions and studies on user experience, which results in a change of the relevant terms in the context of gaming, replacing 'usability' with 'playability' and 'user experience' (UX) with 'player experience' (PX). PX can be inspected in various gaming platforms, which present diverse interaction methods through different peripherals, consequently uncovering the complex nature of video games. Therefore, it is critical to understand the nature of PX through user research. However, limited number of studies investigated PX and playability in detail in order to create an analysis framework for entertainment systems by referring to former UX and usability methodologies. Majority of those studies presented a set of playability heuristics on theoretical basis, which still required to be tested through empirical research in various gaming platforms. In this context, this study focuses on the qualitative analysis of multi-platform PX through a proposed playability heuristics framework derived from relevant literature. This study aims to test the proposed framework in a multi-platform game setting and thus seek ways to contribute to the establishment of a new comprehensive analysis framework to understand multi-platform PX. For this purpose, a qualitative multi-method study based on game platform diversity is designed to measure player experience with 8 users in two different gaming platforms which is based on mobile and full body gesture based interaction. Besides revealing the effect of On-Screen elements on PX such as game interface, mechanics and gameplay, the study also presents promising findings for the effect of Off-Screen aspects such as the environmental and social factors.