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BigDataGrapes D1.3 - Annual Public Report

Aikaterini Kasimati, Maritina Stavrakaki, Coraline Damasio, Florian Schlenz, Simone Parisi, Eleni Foufa, Pythagoras Karampiperis, Panagiotis Zervas, Milena Yankova, Nikola Rusinov, Raffaele Perego, Nicola Tonellotto (+2 others)
2018 Zenodo  
define them and associate them with BigDataGrapes pilots.  ...  Finally, the report concludes with the presentation of the foreseen next steps and the progress to be achieved during the upcoming second year of the project. The document is structured as follows.  ...  methodology retain scalability and efficient use of the available computational resources.  ... 
doi:10.5281/zenodo.2449052 fatcat:z45p4me3cjau3b2jxdqayrrzzq

BigDataGrapes D8.5 - Evaluation Report and KPI Assessment

Aikaterini Kasimati
2020 Zenodo  
with the evaluation methodology.  ...  The objective of this deliverable is to provide, in the first part, an overview and a first evaluation regarding each of the five pilots' progress, stating and explaining the current status of development  ...  the new data products and vegetation indexes that were developed for Abaco.  ... 
doi:10.5281/zenodo.4546328 fatcat:7qpn5zbfuzcfrdrsgrajh3sqee

BigDataGrapes D1.3 - Annual Public Report

Eliana Giannelou, Nikoletta Nikolopoulou, Dimitris Fotakidis
2020 Zenodo  
define them and associate them with BigDataGrapes pilots.  ...  Finally, the report concludes with the presentation of the BigDataGrapes platform and the BigDataGrapes Data Market Place. The document is structured as follows.  ...  of computational resources.  ... 
doi:10.5281/zenodo.4546000 fatcat:ye2hjk4fhzhjrhzgwwu2z6d6rq

BigDataGrapes D4.3 - Models and Tools for Predictive Analytics over Extremely Large Datasets

Franco Maria Nardini, Vinicius Monteiro De Lira, Salvatore Trani, Raffaele Perego, Cristina Muntean
2020 Zenodo  
On top of this stack, the BDG platform enables distributed predictive big data analytics by effectively exploiting scalable Machine Learning algorithms using the computational resources of the underlying  ...  In Section 3, we detail the steps to be followed to download and deploy the first version of the BDG platform and provides the reader with practical examples of usage of its scalable predictive analytics  ...  On top of this stack, the BDG platform enables distributed predictive big data analytics by effectively exploiting scalable Machine Learning algorithms using the computational resources of the underlying  ... 
doi:10.5281/zenodo.4546091 fatcat:f7uocbrx3fc6tjca2dwaec3ep4

Structure-From-Motion in Spherical Video Using the von Mises-Fisher Distribution

Hao Guan, William A. P. Smith
2017 IEEE Transactions on Image Processing  
In this paper we present a complete pipeline for computing structure-from-motion from sequences of spherical images. We revisit problems from multiview geometry in the context of spherical images.  ...  developed for perspective images.  ...  : Ignacio Ferrando, Abaco Digital (www.abacodigital.es).  ... 
doi:10.1109/tip.2016.2621662 pmid:28113757 fatcat:apkamaryefa6rnnw6bk2blcilu

A Comparative Study of Meta-Heuristic and Conventional Search in Optimization of Multi-Dimensional Feature Selection

2022 International Journal of Applied Metaheuristic Computing  
This study proposes the use of meta heuristic based search approach for optimal feature selection.  ...  of meta-heuristic search for multi-dimensional feature selection problem in document categorization.  ...  ACKNOwLeDGMeNT This work was supported by the Department of International Business Management, Didyasarin International College, Hatyai University. The authors wish to thank Dr Ozioma F.  ... 
doi:10.4018/ijamc.292517 fatcat:zkt2gzbvprfcza7a7hppiywfnu

funcX: A Federated Function Serving Fabric for Science [article]

Ryan Chard, Yadu Babuji, Zhuozhao Li, Tyler Skluzacek, Anna Woodard, Ben Blaiszik, Ian Foster, Kyle Chard
2020 pre-print
To address these needs we present funcX---a distributed function as a service (FaaS) platform that enables flexible, scalable, and high performance remote function execution. funcX's endpoint software  ...  We motivate the need for funcX with several scientific case studies, present our prototype design and implementation, show optimizations that deliver throughput in excess of 1 million functions per second  ...  Department of Energy under Contract DE-AC02-06CH11357 and used resources of the Argonne Leadership Computing Facility.  ... 
doi:10.1145/3369583.3392683 arXiv:2005.04215v1 fatcat:stvzh7eslnf65e3nzbcvl5aizu

D6.2 Market Outlook Analysis

Vassilis Spitadakis
2021 Zenodo  
The purpose of the document is to present the status of the market that ENVISION is targeting in terms of the legal environment and technical conditions that affect.  ...  By highlighting the forces and conditions in the market, ENVISION will be aware of the driving elements to consider and the differentiation features to target.  ...  Easier Geotagging (with ABACO 25 Geophoto) -ABACO, a NIVA 26 project partner, has released in 2021 a new version of ABACO GEOPHOTO, the app for hand-held devices to collect photographic evidence with certified  ... 
doi:10.5281/zenodo.6122355 fatcat:d23edb4nsvbbrejo7l656x4egi

DESIGN OF AVIONICS INTEGRATION ARCHITECTURE (IMA) AND DATA NETWORK (AFDX)

Hao Xu, H Jia
2017 unpublished
The project delivers the satisfying results of intended design requirements  ...  The thesis offers the over-through view of Avionics Integration and Aircraft Data Network for the aircraft A-17.  ...  Due to the rapid raising capacity demands, the architecture was developed to address the issues of data communication and onboard processing.  ... 
doi:10.13140/rg.2.2.26673.12649 fatcat:gclxovujx5hmzcuhi6nzwrfvbm

Estimating the effect of mid-frequency active sonar on the population health of Blainville's beaked whales (Mesoplodon densirostris) in the Tongue of the Ocean

David Moretti, Len Thomas, John Harwood
2020
abundance combined with a photo-identification study at both AUTEC and a reference site (Abaco) to improve demographic rate estimates.  ...  A passive acoustic abundance estimation method, a parametric equation that predicts the probability of foraging dive disruption as a function of MFAS received level and an Md bioenergetics model were developed  ...  correlated with their foraging distribution.  ... 
doi:10.17630/10023-19250 fatcat:twci2pzra5hcneu6yf43l2e22m