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The overall goal of the TRACE project was to build a remote sensing based fully automated system for the detection and tracking of large marine litter and accumulation patches of smaller litter items in order to obtain precise and reliable data on floating macro-litter regarding their quantity, position, accumulation zones, material properties, floating depth, and sources. The tracking mechanism has been implemented by coupling the daily satellite-based detections with an oceanographic forecasting system and by a two-step object matching approach.
Helmholtz-Snetrum Potsdam
Monitoring areas closer to plastic marine litter sources that can be very well targeted, such as rivers and estuarine systems, has the potential to improve mitigation strategies. Since the area to be monitored is much smaller, mitigation strategies can be spatially focused and even clean-up activities can be more efficient (more targeted). Recent studies showed that floating plastics emitted from the coast depict a much greater chance to rapidly return to land with most litter stranding within a short distance of the river mouth.
RSS
The objective of the proposed PNT Traffic Light project is to develop a continuous 24/7 performance monitoring tool for EGNOS/GNSS (and particularly for GPS, GALILEO and EGNOS) on the northern and arctic region of, at least, EGNOS coverage area. In addition to just EGNOS, the tool shall be designed to support assessment of the performance of also other GNSSs (at least GPS and Galileo).
GMV
Time-to-Digital Converters (TDCs) are crucial elements in many sensor readout systems, such as time-of-flight sensors, laser ranging devices, LiDAR, ultrasonic sensors, particle detectors, etc. To the best of our knowledge, there is currently no rad-hard TDC component available on the market, which could meet the targeted specification defined in this project. The goal of this project is prototyping and lab testing of a radiation-hardened single-chip picosecond TDC in a commercial 65 nm CMOS technology.
Magics Instruments
Ocean Scan is the first inclusive labeled global marine plastic database, designed to benefit remote sensing researchers. Ocean Scan brings together global in-situ observations and their matching Earth Observation data in one place, and offers additional features specifically designed to benefit remote sensing researchers.
Isardat S.L.
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.
AUSTRIAN ACADEMY OF...
Spherene AG
Spherene AG is a swiss software development startup providing technology to seamlessly integrate autonomous design into existing additive manufacturing workflows. Spherene AG is committed to the creation of a sustainable economy which is founded on the local manufacturing of only the objects that are needed. Its key principles are material-efficient 3D printing, upgrading, and repairing, instead of replacing & recycling or disposal.
Spherene AG
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:
CENTRO RICERCHE ELETTRO...
There is an urgent need to assess the levels of plastic pollution in the ocean, to allow for future monitoring and determine the efficacy of any remediation put into force. As a consequence, parallel to in situ observations, there is a growing interest in detecting marine debris using remote sensing satellite and UAV imagery. The Marine Remote Sensing Group (MRSG) at the University of the Aegean is one of the few groups worldwide with in-deep experience in developing artificial plastic debris target structures, in different configurations and polymer composition.
University of the Aegean
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.
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