Risultati finali
Requirements and Specifications for VesselAI HPC HwSw
VesselAI Models, AI methods and Tools - v3.00These deliverables will include the research, design and delivery of all modules of the AI services including the data feed module, the Model development module, the model serving module as well as the resulting trained models.
Final VesselAI MethodologyThis deliverable based on the feedback received by the projects end users will update the VesselAI methodology as well as any main components needed Any updates in the work implemented in D11 will also be considered finalising preliminary user requirements and integrated VesselAIs value chain
VesselAI HPC Platform-V1.00Initial version of the HPC platform enhanced with AI acceleration technologies
VesselAI Software Stack-V2.00Final version of the software stack.
VesselAI Models, AI methods and Tools- v1.00These deliverables will include the research design and delivery of all modules of the AI services including the data feed module the Model development module the model serving module as well as the resulting trained models
Plan for Dissemination, Communication and Stakeholder EngagementThis deliverable is related to the provision of a detailed plan for all dissemination communication community building and awareness creation activities that will be scheduled for the first reporting period of the project
Exploitation Final Report (M36)The deliverable will take stock of VesselAI exploitation activities and will thoroughly document exploitable assets, go-to-market strategy for project solutions, competitive benchmark, prospect identified, market hypotheses tested and related actions, tangible outcomes of business cases, and IPR arrangements.
Specifications of the AI On-Demand platform extensions and research activities-V2.00These deliverables will include the specifications of the Vessel AI services as extensions to AI On demand existing services as well as all contributions to the ongoing AI4EU research activities
VesselAI Extreme-scale data processing, management services and semantics - v2.00These series of deliverables will report the scientific foundations, the design, requirements and final services of the VesselAI project on the involved data services technologies as studied and researched within tasks T2.1-T2.5 including the Data Ingestion and Management Module, the Semantic Enrichment Module, the Triplestore and Reasoning Engine and the Distributed Query Execution Engine
VesselAI Pilots Documentation, Evaluation and Impact Assessment v3.00These deliverables will document the pilots’ operation and execution consolidating the input of Tasks 6.2-5 and also evaluate the respective version of the platform, from Release 1.00 (first, functional version of the platform, after the mock-ups/ prototype) until Release 4.00 of the platform. It will also present lessons learnt during the project, constituting methodological adoption guidelines for the utilisation of the VesselAI platform.
VesselAI EcosystemComplete ecosystem including opensource frameworks to design and accelerate Neural Networks.
Specifications of the AI On-Demand platform extensions and research activitiesThese deliverables will include the specifications of the Vessel AI services as extensions to AI On demand existing services as well as all contributions to the ongoing AI4EU research activities
VesselAI Pilots Documentation, Evaluation and Impact Assessment v1.00These deliverables will document the pilots’ operation and execution consolidating the input of Tasks 6.2-5 and also evaluate the respective version of the platform, from Release 1.00 (first, functional version of the platform, after the mock-ups/ prototype) until Release 4.00 of the platform. It will also present lessons learnt during the project, constituting methodological adoption guidelines for the utilisation of the VesselAI platform.
VesselAI Validation and Evaluation FrameworkThis deliverable is related to the documentation of the evaluation framework and validation methodology defining the various practices for obtaining feedback from endusers and including a set of testcases to be executed by the endusers
VesselAI Extreme-scale data processing, management services and semantics - v1.00These series of deliverables will report the scientific foundations the design requirements and final services of the VesselAI project on the involved data services technologies as studied and researched within tasks T21T25 including the Data Ingestion and Management Module the Semantic Enrichment Module the Triplestore and Reasoning Engine and the Distributed Query Execution Engine
VesselAI Extreme-scale data processing, management services and semantics - v3.00These series of deliverables will report the scientific foundations, the design, requirements and final services of the VesselAI project on the involved data services technologies as studied and researched within tasks T2.1-T2.5 including the Data Ingestion and Management Module, the Semantic Enrichment Module, the Triplestore and Reasoning Engine and the Distributed Query Execution Engine
State-of-the-art analysis and data sourcesThis deliverable will include a thorough stateofplay analysis of the current landscape in terms of HPC BigData AI and advanced data processing techniques for extreme scale analytics and vessel models in particular including components tools and methodologies eventually promoting the most appropriate ones for the needs of VesselAI Moreover a definition of the VesselAI value chain the corresponding stakeholders and important information sources to be exploited will also be included The needs coming from the projects end users will also constitute a main output of this deliverable as a result of a 1st iteration of interviews and surveys separate part of this deliverable will deal with the definition of content IPR handling and sharing throughout the platform
VesselAI Methodology and MVPThe integrated project methodology as well as the Most Valuable Product MVP of VesselAI will be reported in the terms of this deliverable
VesselAI Technology Requirements & User StoriesThis deliverable is related to the activities to be performed under Tasks 51 and will provide the user stories as well as the technology requirements for the VesselAI solution in alignment with the AI4EU platform as envisioned by the different user groups and will flesh out the concept
VesselAI Platform Components, Services & APIs ArchitectureD52 will include the architecture diagrams and all design documents regarding the platform the components and the tobedeveloped VesselAI services while it will also define and describe the API interfaces that will be implemented
VesselAI Pilots Documentation, Evaluation and Impact Assessment finalThese deliverables will document the pilots’ operation and execution consolidating the input of Tasks 6.2-5 and also evaluate the respective version of the platform, from Release 1.00 (first, functional version of the platform, after the mock-ups/ prototype) until Release 4.00 of the platform. It will also present lessons learnt during the project, constituting methodological adoption guidelines for the utilisation of the VesselAI platform.
Dissemination, Communication and Stakeholder Engagement Report and Plan - Interim VersionThis deliverable is related to the provision of a detailed plan for all dissemination communication community building and awareness creation activities that will be scheduled for the second reporting period of the project while it will also summarise all activities performed during the first reporting period of VesselAI
VesselAI HPC Platform-V2.00Final version of the HPC platform
Final Dissemination, Communication and Stakeholder Engagement ReportThis deliverable aims to provide the final report on all dissemination, communication and stakeholder engagement activities performed during the last reporting period of the project; In addition, this deliverable will provide a detailed report about which data have been collected and generated during the project and describe how it will be shared and opened after the project’s completion.
VesselAI Final ReportThis deliverable will incorporate a final publishable summary report, a report on wider societal implications including ethics, gender, awareness spreading, as well as a plan for the use and dissemination of foreground.
VesselAI Software Stack-V1.00Initial version of the software stack including compilation, optimization and verification features.
VesselAI Models, AI methods and Tools - v2.00These deliverables will include the research, design and delivery of all modules of the AI services including the data feed module, the Model development module, the model serving module as well as the resulting trained models.
VesselAI Pilots Readiness Documentation and Execution ScenariosDocumentation of the set of scenarios realising the test cases in the given context and scope of the enduserorganisation that will run during each pilot including the actors involved the evaluation indicators the overall time plan and a detailed analysis of the required data sources per pilot and the an initial analysis on how each is envisioned to be leveraged in the scope of the pilot
VesselAI Pilots Documentation, Evaluation and Impact Assessment v2.00These deliverables will document the pilots’ operation and execution consolidating the input of Tasks 6.2-5 and also evaluate the respective version of the platform, from Release 1.00 (first, functional version of the platform, after the mock-ups/ prototype) until Release 4.00 of the platform. It will also present lessons learnt during the project, constituting methodological adoption guidelines for the utilisation of the VesselAI platform.
These series of deliverables will consist of a software package that will include the VesselAI platform and its APIs with corresponding supporting documentation on the deployment of each component and usage of the APIs. Each of these deliverables will provide enhanced versions of the platform based both on the pilots’ feedback and the envisioned incremental improvements on top of the initial VesselAI prototype, designed to deliver a final high-quality end offering. D5.6 will also incorporate update on the VesselAI Platform and Services.
VesselAI's Platform & Services - Release 3.00These series of deliverables will consist of a software package that will include the VesselAI platform and its APIs with corresponding supporting documentation on the deployment of each component and usage of the APIs. Each of these deliverables will provide enhanced versions of the platform based both on the pilots’ feedback and the envisioned incremental improvements on top of the initial VesselAI prototype, designed to deliver a final high-quality end offering. D5.6 will also incorporate update on the VesselAI Platform and Services.
Platform Architecture and VesselAI's Platform & Services - Release 1.00This deliverable will consist of a functional prototype version of the VesselAI platform, which will provide almost all envisioned interactions with the end users (leaving certain backend processes in a mock-up state) so as to ensure that users will be in a position to provide timely and efficient feedback to be leveraged for the next platform releases. The functionalities to be included in the prototype will be also based on the MVP defined in WP1. The deliverable will also include all necessary updates on the VesselAI platform and components’ architecture, as well as the APIs interfaces, based on feedback received by the project’s pilots.
VesselAI's Platform & Services - Release 4.00These series of deliverables will consist of a software package that will include the VesselAI platform and its APIs with corresponding supporting documentation on the deployment of each component and usage of the APIs. Each of these deliverables will provide enhanced versions of the platform based both on the pilots’ feedback and the envisioned incremental improvements on top of the initial VesselAI prototype, designed to deliver a final high-quality end offering. D5.6 will also incorporate update on the VesselAI Platform and Services.
This deliverable is related to the detailed plan about which data will be collected and generated during the project and how it will be shared and opened This information is essential to decide the best sustainability model for project results and disseminate according to this plan the open data provided by the project The deliverable will be updated at end of the project
This deliverable is related to the provision of the Website of the project and will set up all needed web and social channels that will be used during the project for communication
Pubblicazioni
Autori:
Tritsarolis Andreas, Kontoulis Yannis, Pelekis Nikos, Theodoridis Yannis
Pubblicato in:
17th International Symposium on Spatial and Temporal Databases (SSTD '21), 2021
Editore:
Association for Computing Machinerυ
DOI:
10.1145/3469830.3470909
Autori:
Hagaseth Marianne, Rødseth Ørnulf Jan, Meland Per Håkon, Wille Egil, Meling Pia, Murray Brian
Pubblicato in:
21st International Conference on Computer and IT Applications in the Maritime Industries (COMPIT'22), Pontignano, Italy., 2022
Editore:
COMPIT
DOI:
10.5281/zenodo.6792507
Autori:
Tritsarolis Andreas, Doulkeridis Christos, Pelekis Nikos, Theodoridis Yannis
Pubblicato in:
2021 22nd IEEE International Conference on Mobile Data Management (MDM), 2021
Editore:
IEEE
DOI:
10.1109/mdm52706.2021.00048
Autori:
Tritsarolis Andreas, Chondrodima Eva, Pelekis Nikos, Theodoridis Yannis
Pubblicato in:
3rd IEEE International Maritime Big Data Workshop of the 23rd MDM Conference, Paphos, Cyprus, June 6, 2022, Numero June 6, 2022, 2022
Editore:
IEEE
DOI:
10.5281/zenodo.6795554
Autori:
Troupiotis Alexandros, Kaliorakis Manolis, Zissis Dimitris, Mouzakitis Spiros, Tsapelas Giannis, Artikis Alexander, Chondrodima Eva, Theodoridis Yannis
Pubblicato in:
20th International Conference on Ship and Maritime Research (NAV 2022), Genova- La Spezia, Italy, 15-17 June 2022, Numero 15-17 June 2022, 2022
Editore:
Associazione Italiana di Tecnica Navale
DOI:
10.5281/zenodo.6795530
Autori:
Stavropoulos Vasileios, Alevizos Elias, Giatrakos Nikos, Artikis Alexander
Pubblicato in:
16th ACM International Conference on Distributed and Event-Based Systems (DEBS'22), Copenhagen, Denmark, June 27 - 30, 2022, Numero June 27 - 30, 2022, 2022
Editore:
Association for Computing Machinery
DOI:
10.1145/3524860.3539810
Autori:
Sotiris Ioannidis, Manfredo Atzori, Nikolaos Passalis, Paulo Figueiras
Pubblicato in:
MARVEL Workshop - DATAWEEK2022 - The challenges of the extreme-scale multi-modal analytics applications., Numero June 19 2022, 2022
Editore:
Big Data Value Association and the EUHubs4Data project
DOI:
10.5281/zenodo.6667599
Autori:
Mandalis Petros, Chondrodima Eva, Kontoulis Yannis, Pelekis Nikos, Theodoridis Yannis
Pubblicato in:
3rd IEEE International Maritime Big Data Workshop of the 23rd MDM Conference, Paphos, Cyprus, June 6, 2022, Numero June 6, 2022, 2022
Editore:
IEEE
DOI:
10.5281/zenodo.6795546
Autori:
Chondrodima Eva, Mandalis Petros, Pelekis Nikos, Theodoridis Yannis
Pubblicato in:
23rd IEEE International Conference on Mobile Data Management (MDM), June 6 – 9, 2022, Numero June 6 – 9, 2022, 2022
Editore:
IEEE
DOI:
10.5281/zenodo.6795539
Autori:
Kersten Martin, Koutsourakis Panagiotis, Niels Nes, Zhang Ying
Pubblicato in:
Conference on Innovative Data Systems Research 2021 (CIDR), 2021
Editore:
CIDR
DOI:
10.5281/zenodo.6782789
Autori:
Zygouras Nikolas, Spiliopoulos Giannis, Zissis Dimitris
Pubblicato in:
2021 IEEE International Intelligent Transportation Systems Conference (ITSC), Indianapolis, IN, USA, 19-22 September 2021, 2021
Editore:
IEEE
DOI:
10.1109/itsc48978.2021.9564657
Autori:
Tahkola Mikko, Guangrong Zou
Pubblicato in:
IEEE Access, Numero Volume 10, 2022, Pagina/e 39299-39312, ISSN 2169-3536
Editore:
Institute of Electrical and Electronics Engineers Inc.
DOI:
10.1109/access.2022.3166525
Autori:
Tritsarolis Andreas, Kontoulis Yannis, Theodoridis Yannis
Pubblicato in:
Data in Brief, Numero Volume 41, April 2022, 2022, Pagina/e Pages 107940, ISSN 2352-3409
Editore:
Elsevier BV
DOI:
10.1016/j.dib.2021.107782
Autori:
Doulkeridis Christos, Vlachou Akrivi, Pelekis Nikos, Theodoridis Yannis
Pubblicato in:
ACM SIGMOD Record, Numero Volume 50, Numero 2, 2021, Pagina/e 18-29, ISSN 0163-5808
Editore:
Association for Computing Machinary, Inc.
DOI:
10.1145/3484622.3484626
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