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961 Projects, page 1 of 193
Open Access Mandate for Publications assignment_turned_in Project2020 - 2023Partners:LINGEA SRO, PSNI, VI, ENGINEERING - INGEGNERIA INFORMATICA SPA, SHU +16 partnersLINGEA SRO,PSNI,VI,ENGINEERING - INGEGNERIA INFORMATICA SPA,SHU,PLURIBUS ONE SRL,ITI,EDU,MJ,IGPF,HELLENIC POLICE,VICOM,KEMEA,Bitdefender,Politsei- ja Piirivalveamet,UCD,EXPERT SYSTEM IBERIA,Ministry of the Interior,NATIONAL POLICE NETHERLANDS-NPN,CERTH,CYBERCRIME RESEARCH INSTITUTE GMBHFunder: European Commission Project Code: 883596Overall Budget: 8,853,480 EURFunder Contribution: 7,690,270 EURThe proposed solution aims to deliver a descriptive and predictive data analytics platform and related tools using state-of-the-art machine learning and artificial intelligence methods to prevent, detect, analyse, and combat criminal activities. AIDA will focus on cybercrime and terrorism, by addressing specific challenges related to law enforcement investigation and intelligence. While cybercrime and terrorism pose distinct problems and may rely on different input datasets, the analysis of this data can benefit from the application of the same fundamental technology base framework, endowed with Artificial Intelligence and Deep Learning techniques applied to big data analytics, and extended and tailored with crime- and task- specific additional analytic capabilities and tools. The resulting TRL-7 integrated, modular and flexible AIDA framework will include LE-specific effective, efficient and automated data mining and analytics services to deal with intelligence and investigation workflows, extensive content acquisition, information extraction and fusion, knowledge management and enrichment through novel applications of Big Data processing, machine learning, artificial intelligence, predictive and visual analytics. AIDA system and tools will be made available to LEAs through a secure sandbox environment that aims to raise the technological readiness level of the solutions through their application in operational environment with real data.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2019 - 2022Partners:Cineca, OPEN GEOSPATIAL CONSORTIUM EUROPE, DONAU SOJA GEMEINNUTZIGE GESELLSCHAFT MIT BESCHRANKTER HAFTUNG, SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED, ENGINEERING - INGEGNERIA INFORMATICA SPA +30 partnersCineca,OPEN GEOSPATIAL CONSORTIUM EUROPE,DONAU SOJA GEMEINNUTZIGE GESELLSCHAFT MIT BESCHRANKTER HAFTUNG,SUITE5 DATA INTELLIGENCE SOLUTIONS LIMITED,ENGINEERING - INGEGNERIA INFORMATICA SPA,ICCS,RYAX TECHNOLOGIES,EXUS AE,Agroknow (Greece),University of Stuttgart,WR,I2S,OGC,LeanXcale SL,University of Piraeus,UCPH,TAMPERE UNIVERSITY,EVENFLOW,INTRASOFT International,BSC,IBCH PAS,UPRC,University of Novi Sad,EV ILVO,VION FOOD NEDERLAND BV,TAMPERE UNIVERSITY OF TECHNOLOGY,UBITECH,BioSense,University of Strathclyde,SETU,CERTH,Bull,GMV,FEDERACION DE COOPERATIVAS AGROALIMENTARES DE LA COMUNIDAD VALENCIANA,WUFunder: European Commission Project Code: 825355Overall Budget: 14,241,900 EURFunder Contribution: 12,407,700 EURCYBELE generates innovation and create value in the domain of agri-food, and its verticals in the sub-domains of PA and PLF in specific, as demonstrated by the real-life industrial cases to be supported, empowering capacity building within the industrial and research community. Since agriculture is a high volume business with low operational efficiency, CYBELE aspires at demonstrating how the convergence of HPC, Big Data, Cloud Computing and the IoT can revolutionize farming, reduce scarcity and increase food supply, bringing social, economic, and environmental benefits. CYBELE intends to safeguard that stakeholders have integrated, unmediated access to a vast amount of large scale datasets of diverse types from a variety of sources, and they are capable of generating value and extracting insights, by providing secure and unmediated access to large-scale HPC infrastructures supporting data discovery, processing, combination and visualization services, solving challenges modelled as mathematical algorithms requiring high computing power. CYBELE develops large scale HPC-enabled test beds and delivers a distributed big data management architecture and a data management strategy providing 1) integrated, unmediated access to large scale datasets of diverse types from a multitude of distributed data sources, 2) a data and service driven virtual HPC-enabled environment supporting the execution of multi-parametric agri-food related impact model experiments, optimizing the features of processing large scale datasets and 3) a bouquet of domain specific and generic services on top of the virtual research environment facilitating the elicitation of knowledge from big agri-food related data, addressing the issue of increasing responsiveness and empowering automation-assisted decision making, empowering the stakeholders to use resources in a more environmentally responsible manner, improve sourcing decisions, and implement circular-economy solutions in the food chain.
more_vert Open Access Mandate for Publications assignment_turned_in Project2016 - 2019Partners:SCIENTIFIC ENGINEERING CENTRE BIOMASS CO LTD, CERTH, University of Foggia, UCAB, SERVICES COOP DE FRANCE, UNION DES COOPERATIVES AGRICOLES +7 partnersSCIENTIFIC ENGINEERING CENTRE BIOMASS CO LTD,CERTH,University of Foggia,UCAB,SERVICES COOP DE FRANCE, UNION DES COOPERATIVES AGRICOLES,INASO PASEGES,CIRCE,PASEGES,DISTRETTO AGROALIMENTARE REGIONALE SCRL,CONFAGRI,CROATIAN CHAMBER OF AGRICULTURE,ASAJAFunder: European Commission Project Code: 691748Overall Budget: 1,992,920 EURFunder Contribution: 1,992,920 EURuP_running project aims to set the path for the development of the bioenergy utilisation of agrarian pruning and plantation removal (APPR) wood obtained from vineyards, olive groves and fruit tree plantations. uP_running vocation is the abatement of the current immobilism of the value chain actors for the utilization of APPR woody biomass. For that purpose uP_running incorporates a set of straight actions aimed to reshape the sectors perception, to provide evidences of real success and replicable models to follow, as well as to promote the take-off for the utilisation of APPR biomass residues. An intense communication campaign will address the varied target audience with tailored messages and materials to raise the awareness. An impact on policy barriers and on the legal framework currently setting limits for the utilisation of APPR wood will be carried out through direct advocacy and lobbying work at national and EU level. Once the awareness is raised and the sector is released of hindering barriers, a snowball effect will be triggered through multiplicative and dissemination actions. First part of uP_running multiplicative strategy is to create a permanent capacity in Europe, by empowering national and regional agrarian associations, extension services and/or private consultants with capacities to give support for decision making to farmers, cooperatives and agro-industries owing the APPR residues. A call for entrepreneurship will put into operation the newly created capacities in 7 EU countries to promote the decision making of pioneer entrepreneurs. Setting up and running new APPR biomass value chains is the key for a self-replication and to further contribute to the development of the bio-economy in Europe. The actions will be initiated in a set of 4 “demo” countries (that together account for 50% of EU potential), replicated in 3 relevant EU countries, and extended through precursor actions to 7 additional EU countries.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2019 - 2022Partners:MUNICIPALITY OF GRANDOLA, Groupe Up (France), DIGINEXT, HELLENIC TELECOMMUNICATIONS ORGANIZATION SA, ENSOSP +19 partnersMUNICIPALITY OF GRANDOLA,Groupe Up (France),DIGINEXT,HELLENIC TELECOMMUNICATIONS ORGANIZATION SA,ENSOSP,Ayuntamiento de Madrid,ENGINEERING - INGEGNERIA INFORMATICA SPA,KAJAANIN KAUPUNKI,Police Academy in Szczytno,Technological Educational Institute of Piraeus,SYNELIXIS,KUAS,KPEOPLE RESEARCH FOUNDATION,HELENIC RESCUE TEAM HRT,SERGAS,KWANSEI GAKUIN UNIVERSITY,ROBOTNIK,VUB,INOV,CSI PIEMONTE,Crisisplan,DRONE HOPPER SL,FONDAZIONE LINKS,CERTHFunder: European Commission Project Code: 833507Overall Budget: 7,315,380 EURFunder Contribution: 6,999,750 EURThe term first responders usually refers to law enforcement, fire, and emergency medical personnel. These responders, however, are not the only assets that may be required in the aftermath of a strike on the homeland. In contrast, the more appropriate term, emergency responders, comprises all personnel within a community that might be needed in the event of a natural or technological (man-made) disaster or terrorist incident. These responders might include hazardous materials response teams, urban search and rescue assets, community emergency response teams, anti-terrorism units, special weapons and tactics teams, bomb squads, emergency management officials, municipal agencies, and private organizations responsible for transportation, communications, medical services, public health, disaster assistance, public works, and construction. In addition, professional responders and volunteers, private nonprofit, nongovernmental groups (NGOs), such as the Red Cross, can also play an important role in emergency response. As a result, the tasks that a national emergency response system would be required to perform are more complex than simply aiding victims at the scene of a disaster, carried out by several kinds of professional users with different roles and expertise. Moreover, emergency preparedness and response lifecycle is a complex process that consists of the preparation, response, and recovery from a disaster, including planning, logistical support, maintenance and diagnostics, training, and management as well as supporting the actual activities at a disaster site and post-recovery after the incident.
more_vert Open Access Mandate for Publications assignment_turned_in Project2012 - 2015Partners:CERTH, University of Glasgow, NEOVISION SRO, ČVUT, Goa UniversityCERTH,University of Glasgow,NEOVISION SRO,ČVUT,Goa UniversityFunder: European Commission Project Code: 288553more_vert
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