98 results found Selected 0 items No itemsClear selection Select / deselect all results (all pages, 98 total) INtelligent automated Functional And Security Testing (INFAST) Increasing system complexity introduces challenges for aggregation, integration and configuration of a system of systems. This leads to test cases proliferation to ensure test coverage and effort increase to support tests definition, execution and results analysis. Under time and cost pressure, incomplete test coverage endangers mission functional and security aspects. Artificial Intelligence can enhance existing ground segment test automation frameworks e.g. Spain TDE T709-704GD GMV SOLUCIONES GLOBALES INTERNET SA 2021 - 2023 INtelligent automated Functional And Security Testing (INFAST) Commercial cloud computing in space The ESA Open Space Innovation Platform Campaign for Cognitive Cloud Computing in Space (3CS) called for project proposals for the use of edge and cloud computing technologies in space. D-Orbit created a consortium including UniBap and Trillium to respond to this opportunity with a proposal to engage the cloud computing community to identify and fly applications on the ION SCV-004 mission. United Kingdom Discovery EISI_I-2022-00373 D-orbit 2022 - 2023 Commercial cloud computing in space SpaceWire Network Management Service Suite Definition and Validation SpaceWire has become a de facto standard for payload systems (including for Command & Control) and its Real-Time derivatives are now being considered for avionics. The capability provided by SpaceWire to develop data handling systems based on high-speed networks allows much greater performance but implies implementing communication bus management techniques specific to SpaceWire. As network management is not part of the basic SpaceWire protocol ECSS-E-ST-50-12C (Rev.1), it must be provided to industry in the form of an additional standard. Greece TDE T701-501ED TELETEL SA 2020 - 2023 SpaceWire Network Management Service Suite Definition and Validation Robotic Digital Twin A digital twin merges a data model with AI (Artificial Intelligence) technology and the existing expertise. It hence allows for an unsurpassed level of monitoring via real-time and continuous assessment and evaluation, precise diagnostics, maintenance prediction, downtime prevention and maximised equipment effectiveness. The Digital Twin concept is getting more and more traction, and is envisaged notably for space missions or for spacecraft. Belgium TDE T309-701GD NETWORK RESEARCH BELGIUM S.A. - NRB 2021 - 2023 Robotic Digital Twin High Stability Laser Control Module for Space Applications Achievements and status: United Kingdom GSTP G717-187MMb RAL Space 2022 - 2023 High Stability Laser Control Module for Space Applications Technologies for the Management of LOng EO Data Time Series (LOOSE) The continuously increasing amount of long-term and of historic data in EO facilities in the form of online datasets and archives makes it necessary to address technologies for the long-term management of these data sets, including their consolidation, preservation, and continuation across multiple missions. The management of long EO data time series of continuing or historic missions, with more than 20 years of data available already today, requires technical solutions and technologies which differ considerably from the ones exploited by existing systems. Germany GSTP G611-024EO DLR - German Aerospace Center 2020 - 2022 Technologies for the Management of LOng EO Data Time Series (LOOSE) De-risk assessment: Assessments toprepare and de-risk technology developments of ICARUS VR-Tool ICARUS will provide an immersive environment that allows for training of Assembly Integration and Testing (AIT) procedures in Virtual Reality (VR). Netherlands GSTP G617-241TAhz ATG EUROPE B.V. 2022 - 2022 De-risk assessment: Assessments toprepare and de-risk technology developments of ICARUS VR-Tool Blockchain ecosystem for an autonomous consensus mechanism of federated satellite networks – Space DAO In applications such as space traffic and disaster response management, there are growing public and private capabilities. Multiple different stakeholders can detect and identify events (space collision predictions, natural disaster definitions). Augmentation of events definitions lead to confusion for local authorities, operators or any users of these information for costly decisions. This project, Space DAO, sets the base infrastructure to agree on consensus mechanisms to reduce confusion and augment trust in key decision making information. Germany Discovery EISI_I-2022-00372 parametry.ai 2022 - 2022 Blockchain ecosystem for an autonomous consensus mechanism of federated satellite networks – Space DAO MoBaTe – Enabling Model-Based Testing and Automated Test Case Generation for Ground Segment Data Systems The driver behind the MoBaTe activity was to propose ways to improve the current software development and validation lifecycle using MBSE techniques to shift some of the system validation activities to the early stages of development. The roadmap to achieve this included identifying strategies, required model properties, modelling tools and languages needed to move from a requirements-based approach to a model-based approach. All this considering existing and established workflows and tools currently used by ESA. Germany Discovery 21-D-T-OPS-01 Etamax Space GmbH 2021 - 2022 MoBaTe – Enabling Model-Based Testing and Automated Test Case Generation for Ground Segment Data Systems Integration of the COMPASS and TASTE toolsets (COMPASTA) COMPASS is a tool for model-based system/software co-engineering developed in a series of ESA studies (2008–2016). It is based on a dialect of AADL and it offers a complete set of functionalities for formal verification, including requirements specification and analysis, contract-based design and verification, functional verification, fault specification, fault injection and RAMS analyses, including Fault Tree Analysis (FTA), Failure Modes and Effects Analysis (FMEA), Diagnosability Analysis, Fault Detection, Isolation and Recovery Analysis (FDIR). Italy Discovery 20-D-T-TEC-04-i Fondazione Bruno Kessler 2020 - 2022 Integration of the COMPASS and TASTE toolsets (COMPASTA) Pagination « First First page ‹‹ Previous page 1 2 3 4 5 6 7 8 9 … ›› Next page Last » Last page Filter by Programme Discovery (35) GSTP (34) TDE (28) Preparation (1) Filter by Start Year 2022 (24) 2020 (23) 2021 (16) 2019 (11) 2023 (6) 2016 (4) 2018 (4) 2014 (3) 2015 (3) 2011 (2) 2013 (1) 2017 (1) Filter by End Year 2022 (25) 2023 (23) 2024 (19) 2021 (10) 2020 (6) 2018 (5) 2025 (3) 2016 (2) 2017 (2) 2014 (1) 2015 (1) 2019 (1) Filter by Keywords MBSE (18) 40-Design to Produce (4) 48-Cybersecurity (4) Artificial intelligence (3) machine learning (3) 0-Navigation Technologies (2) 3-Platforms / Others (2) 32-Clean Space (2) AI (2) astronaut training (2) Augmented Reality (2) Envision (2) Marine Litter (2) MB4SE (2) OPS-SAT (2) OSIP (2) plastic litter (2) system engineering (2) VR (2) 2-Ground Segment Technology (1) 8-System Design & Verification (1) 18-Artificial Intelligence (1) 25-Quality, Dependability and Safety (1) 36-Collaborative Activities (1) Arcadia (1) automotive (1) autonomous navigation (1) Autonomous Shipping (1) availability analysis (1) blockchain (1) Capella (1) CDF (1) Certification (1) cognitive cloud computing (1) COMPASS (1) concurrent engineering (1) digital continuity (1) drones (1) EasyMOD (1) ECSS (1) ESEP (1) feeback (1) FEPOSI (1) ground data systems (1) ICD (1) incremental improvement (1) internet of things (1) IoT (1) ISO (1) knowledge graphes (1) Mars (1) Mission (1) ML (1) NLP (1) ocean plastic (1) Ontology (1) Project review (1) qualification (1) Quantum (1) reverse engineering (1) rust (1) SEE (1) space DAO (1) space traffic management (1) standards (1) system engineering models (1) TASTE (1) Venus (1) XR lab (1) Filter by Contractor RHEA SYSTEM B.V. 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