Search Results - "Erseghe, Tomaso"
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1
Fast Consensus by the Alternating Direction Multipliers Method
Published in IEEE transactions on signal processing (01-11-2011)“…The alternating direction multipliers method (ADMM) has been recently proposed as a practical and efficient algorithm for distributed computing. We discuss its…”
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2
A Distributed Rate-Control Approach to Reduce Communication Burdens in VSNs
Published in IEEE access (2023)“…In visual sensor networks, the analyze-then-compress paradigm, where each camera process data and extract local features, is proved to be an efficient approach…”
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3
Distributed Optimal Power Flow Using ADMM
Published in IEEE transactions on power systems (01-09-2014)“…Distributed optimal power flow (OPF) is a challenging non-linear, non-convex problem of central importance to the future power grid. Although many approaches…”
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4
A Study on the Impact of Multiview Distributed Feature Coding on a Multicamera Vehicle Tracking System at Roundabouts
Published in IEEE access (2022)“…Visual sensor networks are one potential enabler for the evolution of the Internet of things. Due to their limited resources in terms of energy and bandwidth,…”
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5
Coding in the Finite-Blocklength Regime: Bounds Based on Laplace Integrals and Their Asymptotic Approximations
Published in IEEE transactions on information theory (01-12-2016)“…In this paper, we provide new compact integral expressions and associated simple asymptotic approximations for converse and achievability bounds in the finite…”
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6
New Results on the Local Linear Convergence of ADMM: A Joint Approach
Published in IEEE transactions on automatic control (01-11-2021)“…Thanks to its versatility, its simplicity, and its fast convergence, alternating direction method of multipliers (ADMM) is among the most widely used…”
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7
A distributed approach to the OPF problem
Published in EURASIP journal on advances in signal processing (23-05-2015)“…This paper presents a distributed approach to optimal power flow (OPF) in an electrical network, suitable for application in a future smart grid scenario where…”
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On the Evaluation of the Polyanskiy-Poor-Verdú Converse Bound for Finite Block-Length Coding in AWGN
Published in IEEE transactions on information theory (01-12-2015)“…A tight converse bound to the channel coding rate in the finite block-length regime and under additive white Gaussian noise conditions was recently proposed by…”
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A Distributed and Maximum-Likelihood Sensor Network Localization Algorithm Based Upon a Nonconvex Problem Formulation
Published in IEEE transactions on signal and information processing over networks (01-12-2015)“…We propose a distributed algorithm for sensor network localization, which is based upon a decomposition of the nonlinear nonconvex maximum likelihood (ML)…”
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10
A Distributed and Scalable Processing Method Based Upon ADMM
Published in IEEE signal processing letters (01-09-2012)“…The alternating direction multiplier method (ADMM) was originally devised as an iterative method for solving convex minimization problems by means of…”
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11
Cooperative Localization in WSNs: A Hybrid Convex/Nonconvex Solution
Published in IEEE transactions on signal and information processing over networks (01-03-2018)“…We propose an efficient solution to peer-to-peer localization in a wireless sensor network that works in two stages. At the first stage the optimization…”
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12
On Trading the Spreading Gain With the Coding Rate and Its Application to GNSS Data Component Design
Published in IEEE transactions on aerospace and electronic systems (01-08-2021)“…The ubiquity of global navigation satellite system (GNSS)-based positioning and timing services is often frustrated by the necessity to operate in harsh…”
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13
Towards Sustainable Edge Computing Through Renewable Energy Resources and Online, Distributed and Predictive Scheduling
Published in IEEE eTransactions on network and service management (01-03-2022)“…In this work, we tackle the energy consumption problem of edge computing technology looking at two key aspects: (i) reducing the energy burden of modern edge…”
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14
Elastic and Predictive Allocation of Computing Tasks in Energy Harvesting IoT Edge Networks
Published in IEEE transactions on network science and engineering (01-04-2021)“…We consider a distributed IoT edge network whose end nodes generate computation jobs that can be processed locally or be offloaded, in full or in part, to…”
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15
The rise of #climateaction in the time of the FridaysForFuture movement: A semantic network analysis
Published in Social networks (01-10-2023)“…We investigate the psycho-linguistic features of the online discourse over climate change, focusing on its modifications throughout the years 2017–2019 as a…”
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16
Power Flow Optimization for Smart Microgrids by SDP Relaxation on Linear Networks
Published in IEEE transactions on smart grid (01-06-2013)“…In a smart microgrid currents injected by distributed energy resources (DERs) and by the point of common coupling can be adapted to minimize the energy cost…”
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17
Schmidl-Cox-like Frequency Offset Estimation in Time-Hopping UWB
Published in IEEE transactions on wireless communications (01-12-2011)“…This paper presents a time hopping ultra wide band (TH-UWB) receiver design targeted to high performance and low complexity. The classical Schmidl and Cox idea…”
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18
Topology Estimation for Smart Micro Grids via Powerline Communications
Published in IEEE transactions on signal processing (01-07-2013)“…Automated estimation of topology in smart micro grids (SMGs) has been advocated for the optimization of locally generated power. Moreover, when a power line…”
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19
Optimal and Compact Control Policies for Energy Storage Units With Single and Multiple Batteries
Published in IEEE transactions on smart grid (01-05-2014)“…In this paper we investigate the use of energy storage units (ESUs) to reduce the average cost of power supply. Using a dynamic programming (DP) argument, we…”
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20
Projection of Socio-Linguistic markers in a semantic context and its application to online social networks
Published in Online social networks and media (01-09-2023)“…Relevant socio-psychological processes can be detected in social networks thanks to an analysis of linguistic markers that sheds light on the characteristics…”
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