A5078057144- Distributed and Parallel Computing Systems
- Cloud Computing and Resource Management
- Scientific Computing and Data Management
- Parallel Computing and Optimization Techniques
- IoT and Edge/Fog Computing
- Coastal and Marine Dynamics
- Advanced Data Storage Technologies
- Oceanographic and Atmospheric Processes
- Tropical and Extratropical Cyclones Research
- Marine and coastal ecosystems
- Underwater Vehicles and Communication Systems
- Ocean Waves and Remote Sensing
- Educational Games and Gamification
- Opportunistic and Delay-Tolerant Networks
- Hydrological Forecasting Using AI
- Teaching and Learning Programming
- Meteorological Phenomena and Simulations
- Water Quality Monitoring Technologies
- Context-Aware Activity Recognition Systems
- Time Series Analysis and Forecasting
- Mobile Crowdsensing and Crowdsourcing
- Advanced Malware Detection Techniques
- Maritime and Coastal Archaeology
- Online Learning and Analytics
- Air Quality Monitoring and Forecasting
Parthenope University of Naples
2015-2024
Universidad Carlos III de Madrid
2023
De Agostini (Italy)
2023
University of Szczecin
2022
University of Naples Federico II
2021-2022
University of Chicago
2015-2020
Argonne National Laboratory
2015
Applied Science Private University
2007-2012
Abstract. Extreme weather events bear a significant impact on coastal human activities and the related economy. Forecasting hindcasting action of sea storms piers, structures beaches is an important tool to mitigate their effects. To this end, with particular regard low coasts beaches, we have developed computational model chain based partly open-access models ad-hoc-developed numerical calculator evaluate beach wave run-up levels flooding. The offshore simulations are carried out version...
While the everything as a sensor is typical data gathering pattern in Internet of Things (IoT) applications contexts such smart cities, factories, and precision agriculture, among others, use same technique coastal marine environment still not explored at full potential. Nevertheless, when it comes to maritime scenarios, application IoT networks distributed sensors actuators are limited, even though development electronics extreme network technologies present for decades also this area. In...
This paper presents a Coastal Vulnerability Assessment (CVA) of microtidal beach located on the Ionian Sea in Calabria region (southern Italy) order to examine influence different run-up equations CVA score and propose mitigation measures for most vulnerable parts beach. The coastal area has been severely eroded by extreme wave storms, which have also damaged important archaeological structures nearby cliff. A typical 1 year return period (Tr) storm, associated with recent criticalities, was...
The objective of the present study is to achieve a better understanding possible rotation embayed beaches using shoreline position data from two on central Tyrrhenian Sea (Italy) during 64-year period. With this aim, tests utility Differential Global Positioning System (DGPS) and GPS RTK (Real Time Kinematic) dual-frequency navigation system for in situ surveys, low-altitude aerial imagery collected by Unmanned Aerial Vehicle (UAV), satellite polarimetric Synthetic Aperture Radar (SAR)...
Summary Low‐power devices are usually highly constrained in terms of CPU computing power, memory, and GPGPU resources for real‐time applications to run. In this paper, we describe RAPID, a complete framework suite computation offloading help low‐powered overcome these limitations. RAPID supports on Linux Android devices. Moreover, the implements lightweight secure data transmission operations. We present architecture framework, showing integration modules. show by extensive experiments that...
Abstract. The prediction of the formation, spacing and location rip currents is a scientific challenge that can be achieved by means different complementary methods. In this paper analysis numerical experimental data, including RPAS (remotely piloted aircraft systems) observations, allowed us to detect presence channels at mouth Sele River, in Gulf Salerno, southern Italy. dataset used analyze these phenomena consisted two bathymetric surveys, detailed sediment set high-resolution wave...
Accurate prediction of trends in marine pollution is strategic, given the negative effects low water quality on human activities. We describe here computational and functional performance evaluation a decision making tool that we developed context an operational workflow for food forecast assessment. Our Water Community Model (WaComM) uses particle-based Lagrangian approach relying tridimensional dynamics field produced by coupled Eulerian atmosphere ocean models. WaComM has been matching...
Summary Progress in sustainability science is hindered by challenges creating and managing complex data acquisition, processing, simulation, post‐processing, intercomparison pipelines. To address these challenges, we developed the Framework to Advance Climate, Economic, Impact Investigations with Information Technology (FACE‐IT) for crop climate impact assessments. This integrated processing simulation framework enables ingest from geospatial archives; regridding, aggregation, other prior...
The number of online devices with on board sensors is growing steadily in the last years, leading to many solutions depending data crowd-sourcing. In these scenarios, usually collected need be transferred a cloud infrastructure, where can later aggregated and analyzed using specialized processing algorithms. simple task transfer becomes problem stressed environments such as space communication systems, drone monitoring or marine ecosystems, network connectivity unstable not available for...
The democratization of computational resources, thanks to the advent public, private, and hybrid clouds, changed rules in many science fields. For decades, one effort computer scientists engineers was development tools able simplify access high-end resources by scientists. However, nowadays any field can be considered "computational" as availability powerful, but easy manage workflow engines, is crucial. In this work, we present DagOn* (Direct acyclic graph On anything), a lightweight Python...
This paper reports the results of an integrated atmospheric and wave run-up forecasting system, validated with in situ measured data, for coastal site Bagnoli, inside Gulf Pozzuoli, Thyrrenian Sea. A modelling chain consisting Weather Research Forecasting model, Wave Watch 3 model a calculator was used to obtain Ru2% levels on beach framework rehabilitation project industrial site. Hindcasted waves were observed ones intermediate depth, while excursions using video-monitoring system located...
In this work we present an hypervisor-independent GPU Virtualization Service named GVirtus. It instantiates virtual machines able to access the in a transparent way. GPUs allow speed up calculations over CPUs. Therefore, virtualizing is major trend and can be considered revolutionary tool for HPC. To test performances of GVirtus used fluid simulator. Morover exploit computational power cloud computing virtualized three different plugins Framework : Cuda Runtime, Driver OpenCL plugins. Our...
Data crowdsourcing is a increasingly pervasive and lifestyle-changing technology, due to the flywheel effect that results from interaction between internet of things cloud computing. In smart cities, for example, many initiatives harvest valuable data citizen sensors. However, this paradigm has not seen significant use in coastal marine monitoring management challenges environment. work, we describe how situation can be overcome via adoption an open technology ecosystem provides leisure...
Understanding the potential impacts of climate change and likely effectiveness adaptation strategies is crucial importance to sustainability both agriculture natural ecosystems. Improvements in data availability simulation model fidelity promises enable significant improvements knowledge. However, progress hindered by challenges inherent creating managing increasingly complex acquisition, processing, simulation, post-processing, intercomparison pipelines. To address these challenges, we are...