Browsing NTNU Open by Author "Salvo Rossi, Pierluigi"
Now showing items 21-40 of 42
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Gradient-Descent Adaptive Filtering Using Gradient Adaptive Step-Size
Talebi, Sayedpouria; Darvishi, Hossein; Werner, Stefan; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2022)At the heart of most adaptive filtering techniques lies an iterative statistical optimisation process. These techniques typically depend on adaptation gains, which are scalar parameters that must reside within a region ... -
IoT Protocol Stack Current Optimizations for the nRF9160 SiP
Røstad, Simen Sigurdsen (Master thesis, 2020)Denne oppgaven presenterer aktuelle målinger av nRF9160 konfigurert for et ordinært IoT bruksområde. Med optimale strømsparende funksjoner aktivert, er nRF9160 i stand til å konsumere et gjennomsnitt på 267 mC for oppkobling ... -
IoT-based Monitoring in Carbon Capture and Storage Systems
Chawla, Apoorva; Arellano Prieto, Yessica Alexandra; Johansson, Martin Viktor; Darvishi, Hossein; Shaneen, Khadija; Vitali, Matteo; Finotti, Francesco; Salvo Rossi, Pierluigi (Journal article, 2022)Carbon capture and storage (CCS) is critical for climate-change policies and strategies targeting global warming within the Paris Agreement. The overarching technological requirements are well described in the strategic ... -
A Machine-Learning Architecture for Sensor Fault Detection, Isolation and Accommodation in Digital Twins
Darvishi, Hossein; Ciuonzo, Domenico; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2022)Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins. However, sensors might be unreliable due to inherent issues and/or environmental conditions. This paper ... -
Model predictive control for a multi-body slung-load system
Tartaglione, Gaetano; D'Amato, Egidio; Ariola, Marco; Salvo Rossi, Pierluigi; Johansen, Tor Arne (Journal article; Peer reviewed, 2017)In this paper we present a multi-level and distributed control system, based on a robust Model Predictive Control (MPC) technique, for a multi-body slung-load system. In particular, we consider a swarm of autonomous ... -
Moka Digital Twin: A Small-Scale Study for Process Engineering Applications
Bairampalli, Siddanth Nayak (Master thesis, 2020)Digital twins have emerged as an important tool being used in the industry for monitoring equipment. Data generated from a physical device or a process provides an opportunity to apply machine learning algorithms for anomaly ... -
Multi-Bit & Sequential Decentralized Detection of a Noncooperative Moving Target through a Generalized Rao Test
Cheng, Xu; Ciuonzo, Domenico; Salvo Rossi, Pierluigi; Wang, Xiaodong; Wang, Wei (Peer reviewed; Journal article, 2021)We consider decentralized detection (DD) of an uncooperative moving target via wireless sensor networks (WSNs), measured in zero-mean unimodal noise. To address energy and bandwidth limitations, the sensors use multi-level ... -
Multi-bit Decentralized Detection through Fusing Smart and Dumb Sensors based on Rao Test
Cheng, Xu; Ciuonzo, Domenico; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2019)We consider Decentralized Detection (DD) of an unknown signal corrupted by zero-mean unimodal noise via Wireless Sensor Networks (WSNs). We assume the presence of both smart and dumb sensors: the former transmit unquantized ... -
Multi-Target Localization and Tracking with Wireless Sensor Networks for Digital Storytelling
Mendieta Moreton, Sonia (Master thesis, 2017)Wireless Sensor Networks (WSNs) have been considered for a wide variety of applications in areas such as medicine, industry, environmental issues or defense, due to their attractive characteristics which have motivated ... -
Real-Time Data for Risk Assessment in the Offshore Oil and Gas Industry
Paltrinieri, Nicola; Landucci, Gabriele; Salvo Rossi, Pierluigi (Chapter, 2017)Recent major accidents in the offshore oil and gas (O&G) industry have showed inadequate assessment of system risk and demonstrated the need to improve risk analysis. While direct causes often differ, the failure to update ... -
Real-Time Sensor Fault Detection, Isolation and Accommodation for Industrial Digital Twins
Darvishi, Hossein; Ciuonzo, Domenico; Salvo Rossi, Pierluigi (Chapter, 2021)The development of Digital Twins (DTs) has bloomed significantly in last years and related use cases are now pervading several application domains. DTs are built upon Internet of Things (IoT) and Industrial IoT platforms ... -
Self-supervised Underwater Source Localization based on Contrastive Predictive Coding
Zhu, Xiaoyu; Dong, Hefeng; Salvo Rossi, Pierluigi; Landrø, Martin (Peer reviewed; Journal article, 2021)This work introduces a two-step self-supervised learning scheme, namely contrastive predictive coding (CPC), for underwater source localization. In the first step, a CPC-based self-supervised feature extractor is trained ... -
Sensor Fusion for Detection and Localization of Carbon Dioxide Releases for Industry 4.0
Tabella, Gianluca; Di Martino, Yuri; Ciuonzo, Domenico; Paltrinieri, Nicola; Wang, Xiaodong; Salvo Rossi, Pierluigi (Chapter, 2022)This work tackles the distributed detection & localization of carbon dioxide (CO2) release from storage tanks caused by the opening of pressure relief devices via inexpensive sensor devices in an industrial context. A ... -
Sensor-Fault Detection, Isolation and Accommodation for Digital Twins via Modular Data-Driven Architecture
Darvishi, Hossein; Ciuonzo, Domenico; Eide, Eivind R.; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2021)Sensor technologies empower Industry 4.0 by enabling integration of in-field and real-time raw data into digital twins. However, sensors might be unreliable due to inherent issues and/or environmental conditions. This ... -
Spatio-Temporal Decision Fusion for Quickest Fault Detection Within Industrial Plants: The Oil and Gas Scenario
Tabella, Gianluca; Ciuonzo, Domenico; Paltrinieri, Nicola; Salvo Rossi, Pierluigi (Chapter, 2021)In this work, we present a spatio-temporal decision fusion approach aimed at performing quickest detection of faults within an Oil and Gas subsea production system. Specifically, a sensor network collectively monitors the ... -
Subsea Oil Spill Risk Management Based on Sensor Networks
Tabella, Gianluca; Salvo Rossi, Pierluigi; Paltrinieri, Nicola; Cozzani, Valerio (Peer reviewed; Journal article, 2020)The use of Wireless Sensor Networks (WSNs) in support of Dynamic Risk Assessment regarding oil spills still lacks a proper integration. WSNs enable prompt responses to such emergencies through an appropriate inspection, ... -
Time-Aware Distributed Sequential Detection of Gas Dispersion via Wireless Sensor Networks
Tabella, Gianluca; Ciuonzo, Domenico; Yilmaz, Yasin; Wang, Xiaodong; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2023)This work addresses the problem of detecting gas dispersions through concentration sensors with wireless transmission capabilities organized as a distributed Wireless Sensor Network (WSN). The concentration sensors in the ... -
Time-Frequency Fused Underwater Acoustic Source Localization Based on Contrastive Predictive Coding
Zhu, Xiaoyu; Dong, Hefeng; Salvo Rossi, Pierluigi; Landrø, Martin (Peer reviewed; Journal article, 2022)We propose a time-frequency fused underwater acoustic source localization method based on self-supervised learning with contrastive predictive coding. Firstly, two feature extractors are trained to solve the pretext task ... -
Tracking a low-angle isolated target via an elevation-angle estimation algorithm based on extended kalman filter with an array antenna
Darvishi, Hossein; Sebt, Mohammad Ali; Ciuonzo, Domenico; Salvo Rossi, Pierluigi (Journal article; Peer reviewed, 2021) -
Unsupervised Anomaly Detection for IoT-Based Multivariate Time Series: Existing Solutions, Performance Analysis and Future Directions
Belay, Mohammed Ayalew; Blakseth, Sindre Stenen; Rasheed, Adil; Salvo Rossi, Pierluigi (Peer reviewed; Journal article, 2023)The recent wave of digitalization is characterized by the widespread deployment of sensors in many different environments, e.g., multi-sensor systems represent a critical enabling technology towards full autonomy in ...