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Beyond the Mission Paradigm: Federated Reconfigurable Infrastructure via Edge Devices in Space (FRIENDS)

Early space missions consisted of bespoke components communicating with facilities on Earth. Today this model has been updated with off-the-shelf components and reusable launch systems that lower mission cost into low-Earth orbit. Extending this model to develop a sustainable off-Earth economy requires bringing the concept of reconfigurable computing agents to deep space.

Canada

EISI_I-2022-00378

Mission Control Space...
PERTEO: Persistent Real-Time Earth Observation for Responsive Disaster Management

Persistent Responsive Real-Time Earth Observation small satellite constellation mission (PERTEO) was a study dedicated to providing a global democratic service to support disaster management. Earth observation and satellite-based communications play a key role in supporting disaster management targeting responsiveness and the persistence of the service. In the terminology of on-demand Copernicus services, responsiveness is determined by the lead-time and latency. The persistence is determined by the availability and by the revisit time of the service.

Spain

EISI_I-2022-00376

DEIMOS ENGINEERING AND...
Lazarus radioisotope generator

Radioisotope generators provide electrical power for spacecraft by converting the energy released by the decay of radioisotope fuel into electricity. Non-thermal converters (voltaic devices) make use of the photoelectric effect much in the same way a solar cell does. They are much easier to miniaturise for future chip-sized deep space probes, however performance quickly degrades due to radiation damage.

Italy

EISI_01_2021

Progetti e Campioni Srls
Don't try this at home

'Don't try this at home' (named after one of the AI ships from I.Banks Culture series) is a concept demonstrating the benefits of having a cognitive cloud computing infrastructure in space. Such an infrastructure will provide a comprehensive and scalable set of commercial services to EO sensors and space-based data providers. It enables several applications by efficiently collecting and fusing information on target objects from observations of different platforms at various wavelengths, resolutions, and times. As a result, it leads to timely, precise information.

Italy

EISI_I-2022-00366

Planetek Italia
Detecting riverine plastic conglomerations, fluxes and pathways in Indonesia

The project, named in short 'Plastic Monitor', was part of the ESA Discovery Campaign on Remote Sensing of Plastic Marine Litter, funded by the Discovery element of ESA’s Basic Activities. Plastic Monitor aimed to assess the feasibility of detecting heavy plastic pollution loads in an Indonesian river using satellite imagery and ground truth data, and to demonstrate how remote sensing can enhance the quantification and monitoring of plastic input into the marine environment.

The specific objectives of the project were to:

Netherlands

20-D-T-TEC-01

Deltares
SaasyML: Onboard Machine Learning Software As A Service For Experimenters

The 'SaaSy ML' project will provide experimenters with on board Machine Learning (ML) functionalities that any app can subscribe to via a Software as a Service (SaaS) app hosted on the Satellite Experimental Processing Platform (SEPP). The ML features provided by the SaaS app will cover both training and prediction operations. The JSAT open-source java library for ML will be re-used thus making accessible over 100 training algorithms onboard a flying mission. Re-using the JSAT library will ensure the development to focus on the idea's novel aspect: a spacecraft SaaS app for in-orbit ML.

Germany

21-D-S-OPS-02-b

VISIONSPACE TECHNOLOGIES...
FAMOUS improvement: transfer of academic knowledge to semantic interoperability

The space industry and allied agencies have long acknowledged the interest and added value of Model-Based System Engineering in expediting the design, development, deployment, and verification of space systems. The definition of models and equipment that can serve the diverse objectives of system engineering process has been the focus of numerous initiatives over the past few decades. The next stage is to employ MBSE broadly throughout the system life cycle across disciplines and the supply chain.

The Netherlands

20-D-T-TEC-04-l

GorillaIT
RESPECT-DEM - Reliable Signal Processing Datapaths Design Using Control Techniques Based on Difference Equation Models

We aim to develop a novel control theory methodology using input-output process models for error mitigation in signal processing data-paths that operate in radiation prone environments.  In this approach, difference equations are used to characterize the process with perturbation corresponding to faulty digital circuits.

Romania

ETD 2020-06-b

University of Timisoara
SPOTS: Spectral properties of submerged and biofouled marine plastic litter

Recent studies have shown that remote sensing of floating marine plastic litter (MPL) is feasible from unmanned aerial systems, aircraft and satellite missions. However, in the infrared (IR) spectrum, water is a strong light absorber which makes the spectral detection and discrimination of plastics challenging. Additionally, MPL is often covered with living organisms and it is unclear what impact different thickness of biofouling may have on the spectral reflectance of floating plastic.

The Netherlands

20-D-S-TEC-01-h

The Ocean Cleanup
COTS AI accelerators in mixed-criticality high performance avionics for reconfigurable satellites

Today’s satellites are inherently inflexible and purpose-built for a single mission. In contrast, the community is exploring disruptive approaches towards in-orbit reconfiguration and on-board data processing. One of the most promising approaches is to use COTS components and open source frameworks, which decrease time-to-market and could even increase the pool of developers/users on the satellite.

Greece

20-D-S-TEC-05-a

National Technical...

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