Commonly used classical cryptographic protocols, such as the RSA-protocol, rely on the hardness of computational problems. With the advent of quantum computing (QC), the hardness assumptions of these problems is nullified, since they can be solved efficiently on a QC. On the other hand, the security of Quantum key distribution (QKD) rests upon the very laws of physics and guarantees information-theoretic security, which not only enables tap-proof communication at present, but also prevents any future technology to crack encrypted messages.
The high-level objective of HIPER-OSR was to develop a new class of Optical Solar Reflectors (OSR) characterized by being smart and flexible, whereas:
The Integrated MBSE Analytics Platform (IMAP) has been developed in the course of the OSIP [OSIP] MBSE campaign’s MBSE2DataLake project. It demonstrates how MBSE data can be downstreamed from early phases and integrated with Telemetry data or system operations data. Applying MachineLearning analytics and customized visualization on these sets of integrated data provides seamless analysis capabilities and data browsing experience for the user. The approach leads to linking the former separated domains of System Design and AIT/Operations.
Tables and graphs are knowingly used to organise data within a company with different levels of depth and complexity. Knowledge graphs (KGs) are particularly useful because they can cope with data diversity (high-quality complete data and sparse and incomplete data), they have a high degree of scalability and flexibility (the semantic data model can be inter-operational, large, wide and as deep as needed) and, last but not least, they provide reasoning and inference capabilities.
On the Use of Mega-Constellation Services in Space, funded by ESA’s Open Space Innovation Platform (OSIP), investigates how mega-constellations can be used to provide low-Earth orbit (LEO) spacecraft with broadband low-latency services, a novel Concept with potential to disrupt spacecraft design, operation, and performance by allowing spacecraft to access mega-constellations’ enormous resources (Tbit/s throughputs) and global coverage at a lower cost than traditional data relay systems and ground station networks (two to fifty times cheaper, that is, a few hundred to a few thousand dollars
Space missions operating in the inner solar system usually rely on photovoltaic solar cells as primary power source. However, these photovoltaic cells are not appropriate for all space missions, either because the solar radiation is too weak to produce sufficient power within the limitations imposed by today’s solar cell technology and spacecraft mass and volume limitations, or because the timespan to be bridged by the batteries is too long (e.g. lunar or Martian nights).
In order for off-Earth top surface structures built from regolith to protect astronauts from radiation, they need to be several metres thick. With support from European Space Agency (ESA) and Vertico, the Technical University Delft (TUD) advanced research into constructing habitats in empty lava tubes on Mars in order to create subsurface habitats. By building below ground level not only natural protection from radiation is achieved but also thermal insulation because the temperature below ground is more stable.
For long-term studies, numerical simulations are at the center of predicting the space debris environment of the upcoming decades. In the scope of the study, the authors present the architecture and proof-of-concept results for a numerical simulation capable of modeling the long-term debris evolution over decades with a deterministic conjunction tracking model in contrast to typically employed Monte Carlo methods. For the simulation, an efficient propagator in modern C++ accounting for Earth’s gravitational anomalies, solar radiation pressure, and atmospheric drag was developed.
The project “Novel estimation of shallow water bathymetry using ICESat-2 laser altimetry, signal processing and machine learning and Sentinel-2 optical data in a highly automated approach” was funded under the European Space Agencies’ Open Space Innovation Platform (OSIP). The overall objective was to build a self-calibrating and efficient bathymetry mapping system by leveraging accurate and consistent ICESat-2 laser altimeter data as a calibration source for high-resolution Copernicus Sentinel-2 based water depth retrievals.
The general goal of this project is to operationalize and deepen the findings and conclusions of the initial project “Exploring AI capabilities to support the evaluation process of ideas submitted in the OSIP platform.” which demonstrated that AI techniques and software (COGITO Discover) could be used positively to enhance and ease the evaluation of ideas, by providing some new indicators such as idea novelty (scoring 0-100) based on the notion of similarity between ideas and innovation projects.