https://dasya.itu.dk/supervisor/sebastian-buttrich/ Recent content in Sebastian Büttrich on DASYA Hugo -- gohugo.io en-us © DASYA, IT University of Copenhagen Mon, 24 Aug 2026 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/current/sbut-summary/ Mon, 24 Aug 2026 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/current/sbut-summary/ A number of potential projects in the fields of extreme networking - long distance, e.g. space (satellites, stratospheric balloons) - LPWAN, LoRa, LoRaWan resilient and post-collapse networking - see also https://dasya.itu.dk/docs/pcn.html environmental sensors (from sea to stratosphere) Edge AI, embedded ML, TinyML IT and solar energy - see https://solar.itu.dk Please contact me for detail discussions. https://dasya.itu.dk/for-students/proposals/current/sbut-gpu-in-space/ Mon, 24 Aug 2026 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/current/sbut-gpu-in-space/ Recently, large datacenters in space have been proposed. See Starcloud, Axiom, Thales Alenia, Google Suncatcher, SpaceX. Aside from the launch cost and many other challenges, one principal question is: How doe s GPU, producing significant amounts of heat, get rid of thermal energy? And even the solar panels, with efficiencies of around 30%, turining 70% of all incoming energy into thermal - how do they? This project should do the calculations as well as build a small demonstrator - a source of thermal energy, potentially a real GPU (we have various small Nvidia EdgeAI devices to burn …), to be deployed in a Mars simulator vacuum tank. https://dasya.itu.dk/for-students/proposals/archive/scarecrow/ Tue, 25 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/scarecrow/ Invasive bird species can be a serious problem in cities, towns and in agriculture. The common pigeon is a very unwelcome guest on many balconies, roofs, terraces. Conventional scarecrows often show no effect, as these birds are known to be quite intelligent, and capable of learning fast. The idea is to built a sensor/camera enhanced scarecrow that - can recognize birds present within its proximity by means of image recognition - perform counting, reporting and statistics and - take event-triggered measures to scare away unwelcome guests, e. https://dasya.itu.dk/for-students/proposals/archive/learningfromwoodacoustics/ Tue, 25 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/learningfromwoodacoustics/ For this project, you would be working with a partner company who are looking to re-establish wood as a building material for sustainable architecture, and thus are using sensors for quality control - to detect damages and deterioration in buildings. Wood such as timber may be analyzed by non-intrusive acoustic impact testing and subsequent waveform analysis, and the expectation is that machine learning from such measurements would allow us to detect and classify the internal structure and quality of materials. https://dasya.itu.dk/for-students/proposals/archive/trololo/ Tue, 25 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/trololo/ In LoRaWAN networks such as The Things Network, long distance transmissions, well beyond the limitations of line of sight in terrestrial geometry, are frequently observed. Tropospheric effects are seen as responsible for bending or guiding radio waves around the earth curvature. As an example, under the right weather conditions, the LoRaWAN gateway at ITU may collect packets from northern Germany, and nodes from Copenhagen may send data to Sweden and Germany. https://dasya.itu.dk/for-students/proposals/archive/human2satellite/ Tue, 25 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/human2satellite/ Recent progress in LoRaWAN development has made a new generation of satellite communications offerings available to IoT devices. In these, the LoRaWAN gateway is satellite born, and collecting data from small inexpensive ground stations. So far, this is predominantly seen as a means of communciation for remote sensor data, e.g. in agriculture, logistics or wildlife monitoring. However, one can also imagine these communication channels to be valuable for human communications, in scenarios in which terrestrial infrastructure is not accessible, e. https://dasya.itu.dk/for-students/proposals/archive/tinyembeddedmachinevision/ Tue, 25 Aug 2020 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/tinyembeddedmachinevision/ There is currently a lot of progress in really small, yet powerful visual machine learning / computer vision, on hardware like the OpenMV Cam H7, Arduino Portenta Vision Shield, Luxonis LUX-ESP32, Himax WE-I Plus, Arducam Pico4ML, and Raspberry Pi, and on software platforms such as TinyML or OpenMV IDE. While many popular use cases stem from fields like traffic analysis, wildlife monitoring, we propose to explore the potential of these techniques for a seemingly simple, yet very important field: the retrofitting of leagcy meters and displays, i. https://dasya.itu.dk/for-students/proposals/archive/a-gui-for-the-things-network-lorawan-stack-v3/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/a-gui-for-the-things-network-lorawan-stack-v3/ The Things Network Stack v3 for LoRaWAN is an open source LoRaWAN network stack suitable for large, global and geo-distributed public and private networks as well as smaller networks. The architecture follows the LoRaWAN Network Reference Model for standards compliancy and interoperability. - https://github.com/TheThingsNetwork/lorawan-stack This stack, currently in pre-rollout testing, however has no Web GUI yet, and is administered solely via a CLI. This project aims at building a user-friendly, inclusive and innovative web GUI, with hooks to new informative features such as node and gateway statistics, location services and others. https://dasya.itu.dk/for-students/proposals/archive/mobile-air-quality-monitoring/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/mobile-air-quality-monitoring/ New types of networks such as LoRaWAN and Sigfox enable us to deploy inexpensive mobile Air Quality Sensors, e.g. on bicycles or vehicles, boats or trains, and help map and understand urban pollution. Such data would be valuable for e.g. the international citizen science project Luftdaten https://luftdaten.info/en/home-en/ in which we are participating. We have an ongoing collaboration with the Asian Instite of Technology, Bangkok, experience in collaborationg with the Institute for Environmental Science, and a concrete request from a municipality here in Denmark. https://dasya.itu.dk/for-students/proposals/archive/satellite-data/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/satellite-data/ Can we combine satellite data with terrestrial and marine sensor data, to study their correlation, and benefit our understanding of environmental processes, both in urban and agricultural/rural context? Potential collaboration with several organizations in Kenya and Orkney islands. https://dasya.itu.dk/for-students/proposals/archive/small-smart-city/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/small-smart-city/ Not far from the IT University, citizens are buillding a “Small Smart City”, aiming to measure and analyze e.g. water and resource consumption. Help build the Small Smart City! https://dasya.itu.dk/for-students/proposals/archive/a-sound-based-predictive-maintenance/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/a-sound-based-predictive-maintenance/ Survey of potential sensor modalities (sounds, ultrasounds, vibrations) and related work (e.g., wind turbines) Starting with sound: Piezo contact mics/transducers, MEMS sensors Characterization of state based on known signatures (classification problem) Characterization of state transitions (HMM) Experimentation on Coffee machine/Blender/3D printer at PitLab 1..k sensors; Local/cloud-based processing. Experimentation on roller compacter/tableting machines at NN https://dasya.itu.dk/for-students/proposals/archive/b-temperature-based-predictive-maintenance/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/b-temperature-based-predictive-maintenance/ Survey of potential sensor modalities (IR temp sensor, thermal imager) and related work Starting with consumer USB cams generate series of images or phone cams Characterization of state based on known signatures (classification problem) Characterization of state transitions (HMM) Experimentation on Coffee machine/Blender/3D printer at PitLab 1..k sensors; Local/cloud-based processing. Experimentation on roller compacter/tableting machines at NN https://dasya.itu.dk/for-students/proposals/archive/the-ms-iot-gateway/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/the-ms-iot-gateway/ Most data collection in IoT does not critically depend on latency or speed from data collection to data analytics. Occasionally though we meet tasks that would benefit from near-realtime features, such as collection of wave and tidal dynamics around marine energy infrastructures. This project explores the limits of speed by bringing together a LoRa PHY, a LoRaWAN gateway, LoRaWAN stack, ultrafast storage and near data processing in one physical unit. This project combines hardware, software and networks aspects of embedded computing. https://dasya.itu.dk/for-students/proposals/archive/the-trekktracker/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/the-trekktracker/ In collaboration with the IoT Lab at Computer Science Dept at Kathmandu University, Nepal, we are developing a potential service for tracking trekkers, i.e. offering a security service for tourists trekking the Himalayas, in particular Mt. Everest. This service very critically depends on having a robust hardware component, the actual GPS/GNSS tracker. Requirements with respect to battery life, temperature, physical environment are extremely challenging, and need to be tackled in a combination of hardware and software optimization. https://dasya.itu.dk/for-students/proposals/archive/4-wind-turbine-data-publication/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/4-wind-turbine-data-publication/ Wind turbine electricity production data is sensitive for Energinet (and for the wind turbine producers). Energinet would like to publish wind turbine electricity production data sets that can be used to train relevant models and to develop innovative applications, without giving away sensitive data. The goal of the project is to explore various data publishing methods for that purpose. https://dasya.itu.dk/for-students/proposals/archive/wind-turbine-electricity-production-analysis/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/wind-turbine-electricity-production-analysis/ Energinet has a model that describes the electricity production of a given wind turbine given wind conditions. The current model based on kNN is trained with DMI weather data and historical electricity production data for the wind turbine. The goal of the project is to improve the current model with lifelong learning, extended weather data and different models for a range of different wind turbines. Testing models in reverse, it should also be possible to derive wind conditions from a turbine’s electricity production. https://dasya.itu.dk/for-students/proposals/archive/wind-turbine-electricity-production-prediction/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/wind-turbine-electricity-production-prediction/ The goal of the project is to explore the accuracy of electricity production predictions based on historical data and weather predictions. This may be tackled as a sequence prediction problem using recurrent neural networks The long term goal is to incorporate wind turbines in the reserve market for electricity. https://dasya.itu.dk/for-students/proposals/archive/3-wind-turbine-non-invasive-instrumentation/ Mon, 16 Dec 2019 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/3-wind-turbine-non-invasive-instrumentation/ The goal of the project is to explore new ways of gathering data about wind turbines as well as local wind/weather conditions. To this end, sound/vibration-based and/or image-based instrumentation as well as innovative experiments such as balloons and light weight weather stations might be considered. https://dasya.itu.dk/for-students/projects/archive/powering-the-orkney-cloud/ Thu, 31 May 2018 00:00:00 +0000 https://dasya.itu.dk/for-students/projects/archive/powering-the-orkney-cloud/ Modeling and Understanding Curtailment in Orkney 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. https://dasya.itu.dk/for-students/proposals/archive/swarm/ Mon, 01 Jan 0001 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/swarm/ swarm.space is a commercial company providing low-bandwidth satellite connectivity using ultra-small (quarter cubesat unit) satellites in a low orbit. Swarm satellites cover every point on Earth, enabling IoT devices to affordably operate in any location. Swarm uses a form of LoRa network. While ground terminals for satellite networks traditionally were both big and expensive, modems and antennas for LoRa networks such as Swarm have now reached credit card size. Think of it as “Arduino boards with satellite connections”. https://dasya.itu.dk/for-students/proposals/archive/thingsat/ Mon, 01 Jan 0001 00:00:00 +0000 https://dasya.itu.dk/for-students/proposals/archive/thingsat/ LoRa is a relatively new long-range low-power standard allowing for battery powered pocketsize nodes to transmit over 100s to 1000s of kilometers. ThingSat is a CubeSat communication payload constituted of an electronic board of several LoRa transmitters and a patch antenna operating in (868MHz, 2.4GHz). It is a guest payload of a shared 3U CubeSat. Available projects under this platform include LoRa benchmarks from cubesats Thingsat gateways in both 868MHz and 2.