Center for Project-Based Learning D-ITETOpen OpportunitiesThe main goal of this work is to develop a modular system for the characterization and tuning of ultrasonic transducers both in hard- and software
Due to the intended modularity of the system in soft- and hardware, we can guarantee a high flexibility of the setup. This means that the system can be adapted in operation for a wide variety of transducer types and setups. - Electrical Engineering
- Bachelor Thesis, Semester Project
| Development and implementation of personalized algorithms for personalized prediction algorithms for the detection of sepsis in different population groups. - Engineering and Technology, Information, Computing and Communication Sciences
- Bachelor Thesis, Master Thesis, Semester Project
| This moonshot project focuses on researching and exploring the potential of flexible and printable electronics, fabrication technologies, and applications in wearables based on the Voltera NOVA printer. Tasks will include ECAD and MCAD design, manufacturing, and prototype testing. - Electrical and Electronic Engineering, Printing Technology
- Bachelor Thesis, Biomedical (PBL), Energy Harvesting (PBL), Master Thesis, PCB Design (PBL), Semester Project, Wearables (PBL)
| This project focuses on designing testbeds for self-sustainable IoT sensors, specifically targeting solar and thermal energy harvesting. Tasks will include ECAD and MCAD design, firmware development, and prototype testing. - Electrical and Electronic Engineering, Mechanical Engineering
- Bachelor Thesis, Energy Harvesting (PBL), Firmware (PBL), Master Thesis, Microcontroller (PBL), PCB Design (PBL), Semester Project, Software (PBL)
| Visual Inertial Odometry (VIO) describes the process of determining the movement trajectory of a mobile agent (e.g. drone, car, VR headset) from image data recorded by a camera combined with inertial measurements from an IMU. It has been shown that the VIO estimation benefits from additional event camera data. The goal of this project is to implement a fast and energy-efficient fusion strategy for event data and classical camera data on either an FPGA or a System on Chip (GAP 9). - Digital Systems, Electrical and Electronic Engineering
- Computer Vision (PBL), Drones (PBL), FPGA (PBL), Master Thesis, Microcontroller (PBL), Neuromorphic (PBL), Semester Project, Software (PBL)
| The project's goal is to create cutting-edge algorithms that use low-power ultrasonic sensors with TinyML for precise presence detection and indoor people counting. Additionally, the study intends to investigate sensor fusion with CO2, VOC, noise, or other data to improve accuracy. The study assesses the practicality of the technology, taking into account the trade-offs between precision, power consumption, and system limitations. - Communications Technologies, Computer Software, Electrical Engineering, Environmental Technologies, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition, Signal Processing, Simulation and Modelling
- Bachelor Thesis, Energy Harvesting (PBL), Firmware (PBL), Machine Learning (PBL), Master Thesis, Microcontroller (PBL), Semester Project, Software (PBL)
| To enable new applications on drone platforms, novel sensors coupled with with machine learning algorithms are essential. Such sensors are, for example, event-based cameras. They are fast (~kHz speed) and resilient to the environment (e.g. poor lighting conditions). To utilize the full potential of these cameras, neuromorphic computing is needed to process their output. Our FPGA-based drone platform is capable of operating such an event-based camera, and allows for efficient hardware acceleration of the computationally expensive neuromorphic algorithms. - Electrical and Electronic Engineering
- Drones (PBL), FPGA (PBL), Master Thesis, Neuromorphic (PBL), Software (PBL)
| Design an evaluation platform for hardware/software co-design with focus on low-power systems. - Engineering and Technology
- Bachelor Thesis, FPGA (PBL), PCB Design (PBL), Semester Project
| Implement and evaluate a given image detection algorithm on a low power FPGA plattform - Engineering and Technology
- Bachelor Thesis, FPGA (PBL), Machine Learning (PBL), Master Thesis, Semester Project
| Today, new technologies such as power electronic switches or circuit breakers for DC grids are requested with ever increasing capabilities, but suitable test devices to support their development do not exist. In the last years, ETH Zurich undertook the development of a flexible pulsed current source to supply arbitrarily shaped high-current pulses with system voltage of 10kV and nominal currents up to 24 kA nominal. It is achieved by a parallel arrangement of eight individually controlled buck converters (IGBT) and switchable energy-absorbing devices (MOV). This source can ramp up to the nominal current and down to zero within less than half a millisecond while maintaining an output current over several tens of milliseconds. The control of this source is very demanding and the topic of the present thesis project. - Electrical Engineering
- Energy Science & Power (PBL), FPGA (PBL), Master Thesis, Semester Project
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