Scopus İndeksli Yayınlar Koleksiyonu

Permanent URI for this collectionhttps://hdl.handle.net/20.500.12416/8651

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End date: 2019Department: search.filters.department.Çankaya University

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Now showing 1 - 10 of 2648
  • Editorial
    Introduction
    (Springer, 2008) Aydogan, N.
  • Conference Object
    The Implementation of a Successive Cancellation Polar Decoder on Xilinx System Generator
    (Institute of Electrical and Electronics Engineers Inc., 2017) Arli, A.Ç.; Colak, A.; Gazi, O.
    Polar coding is the first kind of the capacity achieving codes which are defined for binary-input discrete memoryless channels initially. Parallel processing property of the FPGA allows to decode faster with a margin of complexity. Xilinx System Generator as a practical tool to construct decoding designs in shorter time is a fact. In this study, FPGA implementation of decoding polar codes through Xilinx System Generator is shown. © 2023 Elsevier B.V., All rights reserved.
  • Conference Object
    Covariance Features for Trajectory Analysis
    (Institute of Electrical and Electronics Engineers Inc., 2016) Karadeniz, T.; Maras, H.H.
    In this work, we aimed to demonstrate that covariance estimation methods can be used for trajectory classification. We have shown that, features obtained via shrunk covariance estimation are suitable for describing trajectories. We have arrived to the conclusion that, when compared to Dynamic Time Warping, the explained technique is faster and may yield more accurate results. © 2017 Elsevier B.V., All rights reserved.
  • Book Part
    Citation - Scopus: 4
    Parallel Data Reduction Techniques for Big Datasets
    (IGI Global, 2016) Yıldırım, A.A.; Özdoǧan, C.; Watson, D.
    Data reduction is perhaps the most critical component in retrieving information from big data (i.e., petascale-sized data) in many data-mining processes. The central issue of these data reduction techniques is to save time and bandwidth in enabling the user to deal with larger datasets even in minimal resource environments, such as in desktop or small cluster systems. In this chapter, the authors examine the motivations behind why these reduction techniques are important in the analysis of big datasets. Then they present several basic reduction techniques in detail, stressing the advantages and disadvantages of each. The authors also consider signal processing techniques for mining big data by the use of discrete wavelet transformation and server-side data reduction techniques. Lastly, they include a general discussion on parallel algorithms for data reduction, with special emphasis given to parallel waveletbased multi-resolution data reduction techniques on distributed memory systems using MPI and shared memory architectures on GPUs along with a demonstration of the improvement of performance and scalability for one case study. © 2025 Elsevier B.V., All rights reserved.
  • Conference Object
    Citation - Scopus: 12
    Computation of Supervisors for Fault-Recovery and Repair for Discrete Event Systems
    (IFAC Secretariat, 2014) Sülek, A.N.; Schmidt, K.W.
    In this paper, we study the fault-recovery and repair of discrete event systems (DES). To this end, we first develop a new method for the fault-recovery of DES. In particular, we compute a fault-recovery supervisor that follows the specified nominal system behavior until a fault-occurrence, that continues its operation according to a degraded specification after a fault and that finally converges to a desired behavior after fault. We next show that our method is also applicable to system repair and we propose an iterative procedure that determines a supervisor for an arbitrary number of fault occurrences and system repairs. We demonstrate our method with a manufacturing system example. © 2021 Elsevier B.V., All rights reserved.
  • Book Part
    Citation - Scopus: 1
    Enterprise Architecture for Personalization of E-Government Services: Reflections From Turkey
    (IGI Global, 2012) Erdem, A.; Medeni, İ.T.; Medeni, T.D.
    As there has not yet been enough work on enterprise architectures for fully integrated knowledge-based, highly-sophisticated (citizen-oriented) personalized services, this chapter aims to articulate a perspective to design architectures for the development and provision of sophisticated, personalized services. Doing so, the authors benefit from their knowledge and experience in the Turkish e-Government Gateway (eGG) and general e-Government services development and provision. First providing an introduction and background information, the chapter discusses the development of eGG services in Turkey, and then provides a visionary suggestion for knowledge-based personalized, citizen-centric e-Government. Among the suggested perspectives, an E-Citizen Decision Support System, and Entity-Utility and Information Flow Model could be useful for eGG development in Turkey and elsewhere. © 2025 Elsevier B.V., All rights reserved.
  • Book Part
    Middle East Policy, Regional Powers
    (Bloomsbury Publishing Plc., 2019) Karadeli, Sedat Cem; Leitich, Keith A.; Pierpaoli, Paul G.; Tucker, Spencer C.
  • Book Part
    Citation - Scopus: 1
    The NGO Forum
    (IGI Global, 2008) Nahar, Nurun; Medeni, Tunç Durmuş; Medeni, Tolga
    This article examines the unique characteristics of the NGO forum as a networked organization, that is, an organization structure that relies on multiparty cooperative relationships between people across structural, temporal and geographic boundaries. It studies the working methodology of the forum to discover the knowledge creation process and how such an organization utilizes its experience and knowledge work to be a successful development partner with all concerned stakeholders. Moreover, communication among forum stakeholders is not the result of random, but deliberate interactions done in the manner of a community of practice (CoP), which in turn is a part of the epistemic community that is influencing the national, global policies on water and sanitation. The study also brings out that an “environmental information system” is very important for it to function as a networked organization. © 2025 Elsevier B.V., All rights reserved.
  • Article
    Citation - WoS: 180
    Citation - Scopus: 192
    On Fractional Calculus with General Analytic Kernels
    (Elsevier Science Inc, 2019) Fernandez, Arran; Ozarslan, Mehmet Ali; Baleanu, Dumitru
    Many possible definitions have been proposed for fractional derivatives and integrals, starting from the classical Riemann-Liouville formula and its generalisations and modifying it by replacing the power function kernel with other kernel functions. We demonstrate, under some assumptions, how all of these modifications can be considered as special cases of a single, unifying, model of fractional calculus. We provide a fundamental connection with classical fractional calculus by writing these general fractional operators in terms of the original Riemann-Liouville fractional integral operator. We also consider inversion properties of the new operators, prove analogues of the Leibniz and chain rules in this model of fractional calculus, and solve some fractional differential equations using the new operators. (C) 2019 Elsevier Inc. All rights reserved.
  • Article
    Citation - WoS: 14
    Citation - Scopus: 18
    Existence Theory and Numerical Simulation of HIV-I Cure Model with New Fractional Derivative Possessing a Non-Singular Kernel
    (Springeropen, 2019) Aliyu, Aliyu Lsa; Alshomrani, Ali Saleh; Li, Yongjin; Inc, Mustafa; Baleanu, Dumitru
    In this research work, a mathematical model related to HIV-I cure infection therapy consisting of three populations is investigated from the fractional calculus viewpoint. Fractional version of the model under consideration has been proposed. The proposed model is examined by using the Atangana-Baleanu fractional operator in the Caputo sense (ABC). The theory of Picard-Lindelof has been employed to prove existence and uniqueness of the special solutions of the proposed fractional-order model. Further, it is also shown that the non-negative hyper-plane a positively invariant region for the underlying model. Finally, to analyze the results, some numerical simulations are carried out via a numerical technique recently devised for finding approximate solutions of fractional-order dynamical systems. Upon comparison of the numerical simulations, it has been demonstrated that the proposed fractional-order model is more accurate than its classical version. All the necessary computations have been performed using MATLAB R2018a with double precision arithmetic.