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A Comparative Study Of High-Level And Low-Level Implementations Of Deep Learning Models For Spacecraft

Mission Control deployed a low-level implementation of the OPS-SAT SmartCam model using a Field Programmable Gate Array (FPGA), comparing against a high-level CPU model using Tensorflow Lite. Experiments showed that the FPGA implementation reproduced the precision and accuracy of the high-level model, while running at a slower speed. Further optimizations of the FPGA are expected to close the gap in timing and unlock new methods for deploying deep learning on spacecraft.

Canada

21-D-S-OPS-02-e

Mission Control Space...
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...
Detection of Ocean Litter Plastics with Hyper-to-multispectral Infrared Neural Networks (DOLPHINN)

The “Detection of Ocean Litter Plastics with Hyper-to-multispectral Infrared Neural Networks” (DOLPHINN) study explored a novel image processing technique to improve the use of space assets to map the distribution of plastic across the globe. The DOLPHINN project objective was to determine the feasibility of using a hyperspectral-to-multispectral association machine learning approach to improve the capability of space-based short wave infrared (SWIR) multispectral assets to detect, quantify, and track plastic litter in waters and on shorelines.

Canada

20-D-S-TEC-01-d

MDA systems
Phase A study for VMMO Lunar Cubesat

The spatial distribution and quantity of in-situ lunar resources, such as water, ice and ilmenite, is currently highly uncertain. The VMMO (Volatile and Mineralogy Mapping Orbiter) is a low-cost 12U Cubesat that includes both the Lunar Volatile and Mineralogy Mapper (LVMM) science payload, a GNSS technology demonstrator, and the supporting 12U Cubesat platform. This GSTP activity addresses the need for mapping these lunar volatiles at relatively high spatial resolution in permanently-shadowed regions by using active single-mode fiber-lasers.

Canada

G637-001TFaa

MPB Communications Inc.
Rover-based system for scouting and mapping lava tubes from the Moon's surface using gravimetric surveying

The main objectives of this study were:
- To carry out thorough analysis and modeling of the anomalous gravity fields expected from lunar lava tubes and other types of void spaces, of various sizes and depths. This work was carried out by geoscientists from Queen’s University.
- To define the mission and system-level requirements for this exploration mission, derived from the scientific analysis of those expected gravity signals, and specifying feasible mission and system-level designs, for a mission to scout the Marius Hills pit crater.

Canada

20-D-S-HRE-01-c

CANADENSYS
Radiation-hardness components at scaled technology nodes – test of single-events effects in ARM Cores (ARIADNA)

The main goal of this Ariadna study was to determine the radiation hardness of potential future space processors. The AR0 test-chip was used to study the impact of SEUs and SETs on different versions of a hardened processor on UTBB-FDSOI 28nm technology, including DICE flip-flops, and three different hardening level of combinational logic.

Canada

15R4

University of...
Scent of Science - Model creation for Odour Based Control of Robotic Vehicles (ARIADNA)
Canada

2011-38

CARLETON UNIVERSITY
Scent of Science - Model creation for Odour Based Control of Robotic Vehicles (ARIADNA)
Canada

2011-35

CARLETON UNIVERSITY
Real - time GIC Simulator
Canada

2003-75

Geomagnetic Laboratory
Advances in atmospheric chemistry and dynamics research by development of coupled chemistry-dynamics Data assimilation models
Canada

2004-33

METEOROLOGICAL SERVICE...

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