https://dasya.itu.dk/tags/constrained-computing/ Recent content in constrained computing on DASYA Hugo -- gohugo.io en-us © DASYA, IT University of Copenhagen Thu, 09 Sep 2021 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/current/danishstudentcubesat/ Thu, 09 Sep 2021 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/current/danishstudentcubesat/ The Danish Student Cubesat Program is an inter university collaboration that will launch 3 cubesats into Low Earth Orbit over the next 4 years. The satellites will be designed, operated, programmed and built by students and the project offers an opportunity for Master’s students to take part in a live satellite project. ITU is partnering with Aarhus University on DISCOSAT2 which will be an imaging instrument built to photograph and thermally image the Arctic ocean and Greenland in collaboration with the Aarhus Arctic Research Centre. https://dasya.itu.dk/for-students/proposals/archive/satellite-ground-station-and-mission-control/ Mon, 31 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/satellite-ground-station-and-mission-control/ ITU is a partner in the Danish Student Cubesat Program, DISCO which will launch a series of small satellites into orbit, starting with DISCO 1 in 2023 and followed by DISCO2 in 2024. As part of this project ITU is installing a satellite ground station with a range of antenna rotators on the roof of Rued Langaards Vej building and the equipment has been purchased. The ground station will track the DISCO satellites as they pass overhead and be able to send and receive data from our satellites. https://dasya.itu.dk/for-students/proposals/archive/satellite-image-ml-pipeline/ Mon, 31 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/satellite-image-ml-pipeline/ ITU is a partner in the Danish Student Cubesat Program DISCO, which will launch a series of small satellites into orbit, starting with DISCO 1 in 2023 and followed by DISCO2 in 2024. ITU is developing a hi-res multi camera imaging payload for earth observation primarily in the Arctic. We are developing an on satellite machine learning capability using an ML coprocessor, as well as models that can run on the reduced hardware found on board the satellite. https://dasya.itu.dk/for-students/proposals/archive/maritimeiot/ Mon, 01 Jan 0001 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/maritimeiot/ Deliberately scoped very wide, this group contains a number of projects in different possible directions, from Location services via LPWAN time-of-flight and GPS/GNSS, Vessel tracking and management in fisheries, tourism and logistcs Water quality anc chemistry sensing for Aquaculure, specifically Mariculture, Wave and tidal dynamics, e.g. in energy harvesting and variations/combinations of these - targeting locations as diverse as the Øresund, the Orkney Islands and Zanzibar. In all theses places, we work with partner orgnaisations from academic and private sectors.