1,721,566 research outputs found
Replication Data for: Movement versus Party: The Electoral Effects of Anti-Far Right Protests in Greece
No full textProject files for the article titled: "Movement versus party: The electoral effects of anti-far right protests in Greece", conditionally accepted by American Political Science Review
Supplemental Material, pp-2017-0010-Appendix - Far right activism and electoral outcomes
No full textSupplemental Material, pp-2017-0010-Appendix for Far right activism and electoral outcomes by Antonis A Ellinas and Iasonas Lamprianou in Party Politics</p
Quantum κ-Entropy: A Quantum Computational Approach
Get PDFA novel approach to the quantum version of κ-entropy that incorporates it into the conceptual, mathematical and operational framework of quantum computation is put forward. Various alternative expressions stemming from its definition emphasizing computational and algorithmic aspects are worked out: First, for the case of canonical Gibbs states, it is shown that κ-entropy is cast in the form of an expectation value for an observable that is determined. Also, an operational method named “the two-temperatures protocol” is introduced that provides a way to obtain the κ-entropy in terms of the partition functions of two auxiliary Gibbs states with temperatures κ-shifted above, the hot-system, and κ-shifted below, the cold-system, with respect to the original system temperature. That protocol provides physical procedures for evaluating entropy for any κ. Second, two novel additional ways of expressing the κ-entropy are further introduced. One determined by a non-negativity definite quantum channel, with Kraus-like operator sum representation and its extension to a unitary dilation via a qubit ancilla. Another given as a simulation of the κ-entropy via the quantum circuit of a generalized version of the Hadamard test. Third, a simple inter-relation of the von Neumann entropy and the quantum κ-entropy is worked out and a bound of their difference is evaluated and interpreted. Also the effect on the κ-entropy of quantum noise, implemented as a random unitary quantum channel acting in the system’s density matrix, is addressed and a bound on the entropy, depending on the spectral properties of the noisy channel and the system’s density matrix, is evaluated. The results obtained amount to a quantum computational tool-box for the κ-entropy that enhances its applicability in practical problems
GPS Location Spoofing Attack Detection for Enhancing the Security of Autonomous Vehicles (presentation video)
No full textVideo of the presentation for the publication M. Kamal, A. Barua, C. Vitale, C. Laoudias and G. Ellinas, "GPS Location Spoofing Attack Detection for Enhancing the Security of Autonomous Vehicles," 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), 2021, pp. 1-7, doi: 10.1109/VTC2021-Fall52928.2021.9625567
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Fiber-wireless convergence in next-generation communication networks: systems, architectures, and management
No full textThis book investigates new enabling technologies for Fi-Wi convergence. The editors discuss Fi-Wi technologies at the three major network levels involved in the path towards convergence: system level, network architecture level, and network management level. The main topics will be: a. At system level: Radio over Fiber (digitalized vs. analogic, standardization, E-band and beyond) and 5G wireless technologies; b. Network architecture level: NGPON, WDM-PON, BBU Hotelling, Cloud Radio Access Networks (C-RANs), HetNets. c. Network management level: SDN for convergence, Next-generation Point-of-Presence, Wi-Fi LTE Handover, Cooperative MultiPoint. • Addresses the Fi-Wi convergence issues at three different levels, namely at the system level, network architecture level, and network management level • Provides approaches in communication systems, network architecture, and management that are expected to steer the evolution towards fiber-wireless convergence • Contributions from leading experts in the field of Fiber-Wireless Convergence
Data-Driven Bandwidth Allocation in EONs
No full textWe investigate periodically and dynamically reconfiguring
elastic optical networks (EONs) utilizing predictive
bandwidth allocation models found by applying reinforcement
learning. These models aim at efficiently utilizing the network
resources so that the quality-of-service (QoS) requirements are
met, in networks where the traffic is evolving in an uncertain
way.© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
T. Panayiotou, G. Ellinas, "Data-Driven Bandwidth Allocation in EONs" 2018 IEEE Photonics in Switching and Computing (PSC) , September 201
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