Πλοήγηση ανά Θέμα "IEEE Computer Society"
Αποτελέσματα 41-60 από 65
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Multiobjective unfolding of shared power consumption pattern using genetic algorithm for estimating individual usage in smart cities
(2016)In smart cities residential homes are fully equipped with information networking and computing technologies and are connected to the power grid via intelligent meters. Connectivity of meters allows formation of groups of ... -
On minimizing service access latency: Employing MEC on the fronthaul of heterogeneous 5G architectures
(2019)Multiple-access Edge Computing (MEC) has been proposed as a means to minimize the user to service path latency, by deploying and operating datacenter resources close to the network edge. The introduction of 5G mobile network ... -
Outage Analysis and Realization Challenges of RIS-enabled Underlay CR Networks over Nakagami-m Fading
(2022)Metamaterials, i.e., reconfigurable intelligent surfaces (RISs), have become very promising and advancing rapidly due to the ability to manipulate electromagnetic (EM) waves. This feature essentially ensures the versatile ... -
A pareto-efficient algorithm for data stream processing at network edges
(2018)Data stream processing has received considerable attention from both research community and industry over the last years. Since latency is a key issue in data stream processing environments, the majority of the works ... -
Passive Angle-Doppler Profile Estimation for Narrowband Digitally Modulated Wireless Signals
(2022)In this paper, we improve estimation of the Doppler shift present in signals that originate from multiple wireless digital communication transmitters. We deploy a uniform linear array (ULA) that overhears the frequency ... -
Proactive & Time-Optimized Data Synopsis Management at the Edge
(2022)Internet of Things offers the infrastructure for smooth functioning of autonomous context-aware devices being connected towards the Cloud. Edge Computing (EC) relies between the IoT and Cloud providing significant advantages. ... -
Proactive, Correlation Based Anomaly Detection at the Edge
(2021)Data management at the edge of the network is a significant research subject. Devices being active at the Internet of Things (IoT) can collect data and transfer them to a set of edge nodes for further processing. There, ... -
A Probabilistic Batch Oriented Proactive Workflow Management
(2021)Workflow management is a widely studied research subject due to its criticality for the efficient execution of various processing activities towards concluding innovative applications. The ultimate goal is to eliminate the ... -
R-Abax: A radiation hardening legalisation algorithm satisfying TMR spacing constraints
(2020)Faults caused by ionising radiation have become a significant reliability issue in modern ICs. However, the Radiation Hardening (RADHARD) design flow differs from the standard design flow. Thus, there is not sufficient ... -
Real time data analytics platform for power grid smart applications
(2017)The main objective of this paper is to elucidate issues that concern the integration of existing software systems and platforms into an open-source, open-architecture simulation engine that delivers large scale data analytics ... -
Review of learning design choices of primary school programming courses in empirical researches
(2021)Programming, most recently in the form of Computational Thinking (CT), is emerging as a new subject in primary schools worldwide. By data-based decision making, teachers, as learning designers, make decisions on instruction ... -
A rich-dictionary markov predictor for vehicular trajectory forecasting
(2018)Next-location prediction in a VANET system, where each vehicle acts as a network node, is of great importance in intelligent transport systems (ITS) as this property could have a direct and positive effect on network ... -
The role of electricity storage in the energy transition
(2020)A generic mixed integer linear programming (MILP) model has been developed in this work with the objective of determining the optimal operational scheduling of a power system characterized by significant penetration of ... -
A Scalable Short-Text Clustering Algorithm Using Apache Spark
(2021)Short text clustering deals with the problem of grouping together semantically similar documents with small lengths. Nowadays, huge amounts of text data is being generated by numerous applications such as microblogs, ... -
Screening for disorders of mathematics via a web application
(2017)Dyscalculia is a neurodevelopmental disorder that affects the ability of a child to learn arithmetic. Dyscalculia appears despite normal intelligence, proper schooling, adequate environment, socioeconomic status and ... -
Server Consolidation in Cloud Computing
(2019)Minimizing service-level agreement (SLA) violations and energy consumption through server consolidation is of paramount importance for the sustainability of cloud environments. In this paper, we propose an online method ... -
Simulation-Based Maximum Coverage Hazard Detection and Elimination Analysis, Supporting Combinational Logic Loops
(2022)We demonstrate an iterative simulation-based maximum coverage detection and elimination analysis of logic-hazards for combinational logic loops. Although the focus is on asynchronous circuits with such feedbacks, it is ... -
STA for mixed cyclic, acyclic circuits
(2020)In this work, we present a Static Timing Analysis (STA) methodology for cyclic circuits with attached acyclic datapaths, as an alternative to SPICE level electrical simulation, based on ASTA (Asynchronous STA). Our methodology ... -
Timing errors in sta-based gate-level simulation
(2020)In this paper, we demonstrate that conventional STA-based, functional, gate-level simulation of asynchronous circuits with cycles is only as accurate as the STA engine used. This is, firstly because cycle cuts create local ... -
Unlicensed Spectrum Forecasting: An Interference Umbrella Based on Channel Analysis and Machine Learning
(2022)In this work a novel framework for predicting future interference levels for IEEE 802.11 networks is developed and experimentally evaluated. At the heart of the framework lies a modelling mechanism which is able to estimate ...