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Sverres home Introduksjon Eksterne oppgaver: Post-sorteringssystem Vibration data acquisition and analysis for predictive maintenance Ultra low power accelerometer Secure Edge support for end-to-end encrypted sensor to cloud protocol IoT sensor data authenticity and protection ML-analysis on miniature sensors Ultra low power Analog Sensor Interfaces DNV Fuel Fighter - Datavisualisering av telemetridata Ntnu Cyborg (flere oppgaver) SW development projects: Programmeringsprosjekt (Flere oppgaver) 'Big data' analysis of flash-card learning data Procedural Generation: Game Worlds Procedural Generation: Music Programvare design av simulator Dynamic deployment system for real-time tasks Measurement-based real-time system Bibliotek for meldingssending Teoretical projects: Schedulability proof for message passing systems Dynamic deployment system for real-time tasks Bruk av online eksekveringstidsestimater Real-time systems not based on timing requirements Morsomme sensorer og applikasjoner: Døvehørsel Blindesyn |
Ultra low power accelerometerThis assignment is intended as a continuation of a 2018 Master's thesis in which a MEMS accelerometer was developed for use with Disruptive Technologies' capacitive sensing ASIC, resulting in an experimental device with lower current consumption than any commercially available solution. The assignment may involve one or more of the following:
Investigate alternative techniques for fabrication, packaging, and integration with the sensing ASIC. How do these techniques affect manufacturability, sourcing and scalability? Optimize the analog interface to improve linearity, sensitivity, and robustness against electromagnetic interference. This may involve reconfiguring the existing ASIC and/or designing a modified circuit that can be incorporated in a new revision. Characterize the dies that have already been fabricated with respect to frequency response, tolerance to electromagnetic fields, and response to shock. Estimate tolerances and temperature coefficients. Describe algorithms for simple applications such as fall detection and tilt measurements based on the analog output of the sensor. The assignment is well suited for continuation into a Master Project. Disruptive Technologies will at agreement cover costs for development and production of a device. Feel free to make direct contact with the Disruptive Technologies external supervisor under it this sounds interesting. Supervisor: Jonathan Reichelt Gjertsen, Disruptive Technologies jonathan.gjertsen@disruptive-technologies.com |