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    <title>Julian Priest on DASYA</title>
    <link>https://dasya.itu.dk/supervisor/julian-priest/</link>
    <description>Recent content in Julian Priest on DASYA</description>
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      <title>Cubesat LoRa module</title>
      <link>https://dasya.itu.dk/for-students/proposals/current/jucp-cubesat-lora/</link>
      <pubDate>Mon, 01 Jul 2024 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/current/jucp-cubesat-lora/</guid>
      <description>LoRa is a long range, low bandwith networking protocol widely used in Internet of Things projects, sensor networks, low power, low cost and embedded systems. LoRa&amp;rsquo;s encoding schema allows for extremely long distance communications with small power usage and small simple antennas. This combination of features has made it attractive to small satellite operators flying cubesats and LoRa is now routinely used to connect small ground based nodes to satellites, typically for remote sensor network deployments, and for satellite telemetry, e.</description>
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      <title>Learning-based image quality enhancement on CubeSat</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/yucl-camera/</link>
      <pubDate>Wed, 26 Jun 2024 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/yucl-camera/</guid>
      <description>The DISCO-2 project is driven by students and aims to develop and deploy a 3-unit CubeSat into low Earth orbit. Its mission focuses on conducting Earth observations over Greenland and supporting various research objectives. The satellite has three cameras onboard: infrared, wide-angle, and standard (main camera). Due to the limitations of the imaging hardware and the challenging conditions on the ground, the captured image might suffer from quality degradation, such as low light, noise, blurriness, shadow, etc.</description>
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    <item>
      <title>DISCO-1 operations and groundstation</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/jucp-disco1-operations/</link>
      <pubDate>Sun, 13 Aug 2023 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/jucp-disco1-operations/</guid>
      <description>ITU is a partner of the Danish Student Cubesat Program, DISCOSAT. We launched our first satellite DISCO-1 into Low Earth Orbit in April 2023 and we will launch a second DISCO-2 in 2024. In this project you will gain experience with automating live satellite operations and communications, completing a groundstation at the Rued Langaards Vej site for use with both satellites.
The DISCO satellite radio transceiver is implemented as a hardware module and uses a networking protocol called CSP which runs over a GMSK modulated UHF radio link.</description>
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    <item>
      <title>DISCO-2 camera control and image acquisition</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/jucp-disco2-camera-control/</link>
      <pubDate>Sun, 13 Aug 2023 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/jucp-disco2-camera-control/</guid>
      <description>The DISCO-2 satellite is an Earth observation satellite in collaboration with the Arctic Research Center in Aarhus and is designed to complement ground based field studies in Greenland. The satellite instrument consists of 2 high quality visible light and 1 infrared cameras, as well as and attitude control system and coral TPU ML coprocessor.
In this project you will develop software to control the visible light cameras and interface them with the satellite control system.</description>
    </item>
    
    <item>
      <title>DISCO-2 image processing and machine learning pipeline</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/jucp-disco2-new-pipeline/</link>
      <pubDate>Sun, 13 Aug 2023 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/jucp-disco2-new-pipeline/</guid>
      <description>The DISCO-2 satellite will have accelerated machine learning capability based on the inclusion of a Coral TPU ML accelerator module. This will allow images taken by the satellite to be analaysed on satellite using a variety of ML models, with only select images sent back to Earth. This approach allows for more flexibility in image aquisition and saves downlink bandwidth which is very constrained in the case of DISCO-2.
This project will address the entire image pipeline including pre-processing of images on the satellite after aquisition for insertion into the ML pipeline, the selection of images based on the results of ML analysis, the transfer of images to the groundstation and the data storage and presentation of the images.</description>
    </item>
    
    <item>
      <title>Danish Student Cubesat</title>
      <link>https://dasya.itu.dk/for-students/proposals/current/danishstudentcubesat/</link>
      <pubDate>Thu, 09 Sep 2021 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/current/danishstudentcubesat/</guid>
      <description>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&amp;rsquo;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.</description>
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    <item>
      <title>DISCO ground station and mission control</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/satellite-ground-station-and-mission-control/</link>
      <pubDate>Mon, 31 Aug 2020 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/satellite-ground-station-and-mission-control/</guid>
      <description>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.</description>
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    <item>
      <title>DISCO Satellite Image and ML Pipeline</title>
      <link>https://dasya.itu.dk/for-students/proposals/archive/satellite-image-ml-pipeline/</link>
      <pubDate>Mon, 31 Aug 2020 00:00:00 +0000</pubDate>
      
      <guid>https://dasya.itu.dk/for-students/proposals/archive/satellite-image-ml-pipeline/</guid>
      <description>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.</description>
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