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Juan Manuel Aranda
Pág. 21 - 35
AbstractDownloadsReferencesHow to Cite
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Robert Kleijnen, Markus Robens, Michael Schiek and Stefan van Waasen
Accelerated simulations of biological neural networks are in demand to discover the principals of biological learning. Novel many-core simulation platforms, e.g., SpiNNaker, BrainScaleS and Neurogrid, allow one to study neuron behavior in the brain at an...
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Marco Conoscenti, Antonio Vetrò, Juan Carlos De Martin and Federico Spini
The Lightning Network (LN) is one of the most promising off-chain scaling solutions for Bitcoin, as it enables off-chain payments which are not subject to the well-known blockchain scalability limit. In this work, we introduce CLoTH, a simulator for HTLC...
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Amitkumar V. Jha, Bhargav Appasani, Nicu Bizon and Phatiphat Thounthong
In recent years, the Smart Grid (SG) has been conceptualized as a burgeoning technology for improvising power systems. The core of the communication infrastructure in SGs is the Synchrophasor Communication Network (SCN). Using the SCN, synchrophasor data...
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Stefano Guarino, Enrico Mastrostefano, Massimo Bernaschi, Alessandro Celestini, Marco Cianfriglia, Davide Torre and Lena Rebecca Zastrow
The definition of suitable generative models for synthetic yet realistic social networks is a widely studied problem in the literature. By not being tied to any real data, random graph models cannot capture all the subtleties of real networks and are ina...
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Wenyi Ge, Zhitao Wang, Guigui Wang, Shihan Tan and Jianwei Zhang
High-resolution remote sensing images are the key data source for the visual system of a flight simulator for training a qualified pilot. However, due to hardware limitations, it is an expensive task to collect spectral and spatial images at very high re...
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Francesco G. Lavacca, Pierpaolo Salvo, Ludovico Ferranti, Andrea Speranza and Luca Costantini
In this article, we deal with the enhanced Mobile Broadband (eMBB) service class, defined within the new 5G communication paradigm, to evaluate the impact of the transition from 4G to 5G access technology on the Radio Access Network and on the Transport ...
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Dina M. Ibrahim,Nada M. Alruhaily
Pág. pp. 150 - 158
With the rise of IOT devices and the systems connected to the internet, there was, accordingly, an ever-increasing number of network attacks (e.g. in DOS, DDOS attacks). A very significant research problem related to identifying Wireless Sensor Networks ...
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Alessandro Leoni, Pietro Nannipieri, Daniele Davalle, Luca Fanucci and David Jameux
The continuous innovation of satellite payloads is leading to an increasing demand of data-rate for on-board satellite networks. In particular, modern optical detectors generate and need to transfer data at more than 1 Gbps, a speed that cannot be satisf...
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Marco Conoscenti, Antonio Vetrò, Juan Carlos De Martin and Federico Spini
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Yang Sun, Yun Li, Wei Xiong, Zhonghua Yao, Krishna Moniz and Ahmed Zahir
Using Pareto optimization in Multi-Objective Reinforcement Learning (MORL) leads to better learning results for network defense games. This is particularly useful for network security agents, who must often balance several goals when choosing what action...
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Asmae Ait Mansour, Nourddine Enneya and Mohamed Ouadou
The unexpected change in user equipment (UE) velocity is recognized as the primary explanation for poor handover quality. In order to resolve this issue, while limiting ping-pong (PP) events we carefully and dynamically optimized handover parameters for ...
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Asmae Ait Mansour, Nourddine Enneya and Mohamed Ouadou
The unexpected change in user equipment (UE) velocity is recognized as the primary explanation for poor handover quality. In order to resolve this issue, while limiting ping-pong (PP) events we carefully and dynamically optimized handover parameters for ...
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Sesha Bhargavi Velagaleti, Dr.M. Seetha, Dr.S.Viswanadha Raju
Pág. 1279 - 1286
A MANET can be treated as a network in which the nodes have the capability of self-configuring among themselves. These nodes are connected by wireless links to form an distributed topology without the help of any pre-existing infrastructure. Each node in...
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João Soares, Bruno Canizes, Cristina Lobo, Zita Vale and Hugo Morais
This paper presents a simulator for electric vehicles in the context of smart grids and distribution networks. It aims to support network operators? planning and operations but can be used by other entities for related studies. The paper describes the pa...
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Pavel Masek,Krystof Zeman,Dalibor Uhlir,Jan Masek,Chris Bougiouklis,Jiri Hosek
Pág. 49 - 54
With the ubiquitous wireless network coverage, Machine-Type Communications (MTC) is emerging to enable data transfers using devices/sensors without need for human interaction. In this paper we, we introduce a comprehensive simulation scenario for modelin...
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Inês A. Ribeiro, Tiago Ribeiro, Gil Lopes and A. Fernando Ribeiro
This paper presents a solution for an autonomously driven vehicle (a robotic car) based on artificial intelligence using a supervised learning method. A scaled-down robotic car containing only one camera as a sensor was developed to participate in the Ro...
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Edward William Chandler
Pág. 101 - 108
A simple simulation tool was previously developed to simulate the operation and performance of demand-assigned communication networks having time-varying data traffic patterns. Such networks use protocols to increase or decrease the resources alloc...
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Thomas Schiller, Bruce Caulkins, Annie S. Wu and Sean Mondesire
Internet of Things (IoT) devices are common in today?s computer networks. These devices can be computationally powerful, yet prone to cybersecurity exploitation. To remedy these growing security weaknesses, this work proposes a new artificial intelligenc...
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Messaoud Benguenane, Ahmed Korichi, Bouziane Brik and Nadjet Azzaoui
In vehicle-to-everything (V2X) networks, security and safety are inherently difficult tasks due to the distinct characteristics of such networks, such as their highly dynamic topology and frequent connectivity disruptions. Jellyfish attacks are a sort of...
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