Grid-enabled Spatial Data Infrastructure for environmental sciences: Challenges and opportunities

G Giuliani, N Ray, A Lehmann - Future Generation Computer Systems, 2011 - Elsevier
Spatial Data Infrastructures (SDIs) are being widely used in the environmental sciences to
share, discover, visualize and retrieve geospatial data through Open Geospatial Consortium …

Localized homology

A Zomorodian, G Carlsson - Computational Geometry, 2008 - Elsevier
In this paper, we provide the theoretical foundation and an effective algorithm for localizing
topological attributes such as tunnels and voids. Unlike previous work that focused on 2 …

[HTML][HTML] CNN algorithm for roof detection and material classification in satellite images

J Kim, H Bae, H Kang, SG Lee - Electronics, 2021 - mdpi.com
This paper suggests an algorithm for extracting the location of a building from satellite
imagery and using that information to modify the roof content. The materials are determined …

WPS mediation: An approach to process geospatial data on different computing backends

G Giuliani, S Nativi, A Lehmann, N Ray - Computers & Geosciences, 2012 - Elsevier
The OGC Web Processing Service (WPS) specification allows generating information by
processing distributed geospatial data made available through Spatial Data Infrastructures …

Sharing environmental data through GEOSS

G Giuliani, N Ray, S Schwarzer, A De Bono… - … in geospatial research, 2013 - igi-global.com
Understanding the complexity of earth-system processes is crucial to convey improved
information on the environment to decision-makers and the general public. Addressing this …

On-board format-independent security of functional magnetic resonance images

A Castiglione, R Pizzolante, F Palmieri… - ACM Transactions on …, 2017 - dl.acm.org
Functional magnetic resonance imaging (fMRI) provides an effective and noninvasive tool
for researchers to understand cerebral functions and correlate them with brain activities. In …

MedioGrid: a grid-based platform for satellite image processing

D Petcu, D Zaharie, D Gorgan, F Pop… - 2007 4th IEEE …, 2007 - ieeexplore.ieee.org
Recently a new Grid-based software platform was developed to allow remote sensing image
processing for preventing disasters like river floods and forest fires. While several innovative …

Performance analysis of grid DAG scheduling algorithms using MONARC simulation tool

F Pop, C Dobre, V Cristea - 2008 international symposium on …, 2008 - ieeexplore.ieee.org
This paper presents a solution to analyze the performance of grid scheduling algorithms for
tasks with dependencies. Finding the optimal procedures for DAG scheduling in Grid …

A hybrid algorithm for scheduling workflow applications in grid environments (icpdp)

B Simion, C Leordeanu, F Pop, V Cristea - On the Move to Meaningful …, 2007 - Springer
In this paper, based on a thorough analysis of different policies for DAG scheduling, an
improved algorithm ICPDP (Improved Critical Path using Descendant Prediction) is …

Distributed algorithm for change detection in satellite images for Grid Environments

F Pop, C Gruia, V Cristea - Sixth International Symposium on …, 2007 - ieeexplore.ieee.org
This paper presents a solution for real-time satellite image processing. The focus is on the
detection of changes in MODIS images. We present a distributed algorithm for change …