loading
Documents

Research.Publish.Connect.

Paper

Authors: A. Galletti 1 ; R. Montella 2 ; L. Marcellino 1 ; A. Riccio 1 ; D. Di Luccio 1 ; A. Brizius 3 and I. Foster 3

Affiliations: 1 Parthenope University of Naples “Parthenope”, Italy ; 2 Parthenope University of Naples “Parthenope” and University of Chicago, Italy ; 3 University of Chicago, United States

ISBN: 978-989-758-213-4

Keyword(s): Lagrangian Methods, Numerical Interpolation, Food Quality, Human Diseases, Cloud Computing, High Performance Computing, Scientific Workflow, Smart Devices, Internet of Things, Marine Data Crowdsourcing.

Abstract: Monitoring nearshore sea water pollution using connected smart devices could be nowadays impracticable due to the aggressive saline environment, the network availability and the maintain and calibration costs. Accurate forecast of marine pollution is most needed to evaluate the adverse effects on coastal inhabitants’ health when fishes and mussels farming economically characterizes the local social background. In an operational context, numerical simulations are performed routinely on a dedicated computational infrastructure producing space and temporal high-resolution predictions of weather and marine conditions of the Bay of Naples. In this paper we present our results in developing a community open source Lagrangian pollutant transport and dispersion model, leveraging on hierarchical parallelism implying distributed memory, shared memory and GPGPUs. Some numerical details are also discussed. This system has been used to develop an alarm system to help local authorities in making de cisions regarding the collection of mussels. The model setup and the simulation results will be improved using FairWind, an under development system dedicated to coastal marine crowdsourced data gathering and sharing, based on smart devices and Internet of Things afloat. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 34.238.189.171

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Galletti, A.; Montella, R.; Marcellino, L.; Riccio, A.; Di Luccio, D.; Brizius, A. and Foster, I. (2017). Numerical and Implementation Issues in Food Quality Modeling for Human Diseases Prevention.In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: SmartMedDev, (BIOSTEC 2017) ISBN 978-989-758-213-4, pages 526-534. DOI: 10.5220/0006297905260534

@conference{smartmeddev17,
author={A. Galletti. and R. Montella. and L. Marcellino. and A. Riccio. and D. Di Luccio. and A. Brizius. and I. Foster.},
title={Numerical and Implementation Issues in Food Quality Modeling for Human Diseases Prevention},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: SmartMedDev, (BIOSTEC 2017)},
year={2017},
pages={526-534},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006297905260534},
isbn={978-989-758-213-4},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: SmartMedDev, (BIOSTEC 2017)
TI - Numerical and Implementation Issues in Food Quality Modeling for Human Diseases Prevention
SN - 978-989-758-213-4
AU - Galletti, A.
AU - Montella, R.
AU - Marcellino, L.
AU - Riccio, A.
AU - Di Luccio, D.
AU - Brizius, A.
AU - Foster, I.
PY - 2017
SP - 526
EP - 534
DO - 10.5220/0006297905260534

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.