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the Digital Systems and Intelligent Sensors group (DSIS). within the School of Electrical Engineering, Computing and Mathematical Sciences. DSIS endeavours to utilise technology to assist people with
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understanding the potential implications for biology, but also for identifying shallow subsurface water resources that could be accessed by crewed missions. Secondly, there is a diversity of satellite sensors
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research and experimental work in the fields of sensor networks, biomedical engineering and machine learning with focus on: Utilisation of Inertial Measurement Units (IMUs) in human movement including data
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seismic data obtained with various sensors. Assist in planning, design and implementation of field experiments to collect high quality geophysical data for research projects utilising fibre optic sensors
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test the sensors and actuators used in the system. Develop the sensor calibration protocol and mechanisms. Develop the control software. Develop the automated system prototype and test it. Optimise
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the mechatronic system. Perform the 3D modelling of the hardware (e.g. SolidWorks), simulation, and optimisation. Contribute to the design of the workflow and automation. Identify and test the sensors and actuators
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Status: Closed Applications open: 7/07/2023 Applications close: 25/08/2023 View printable version [.pdf] About this scholarship Description/Applicant information Modern sensor data with AI tools
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be used as the ground-truth dataset for the next step. Objective 2: The research team has access to several low-cost camera solutions. This includes two structures-light sensors (Skanet and Microsoft
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installed rotary seismic sources (known as surface orbital vibrators or SOVs) and recorded by state-of-the-art fibre-optic sensors installed in fibre monitoring boreholes. Yet, since the data were recorded
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-to-speech conversion at the receiver. 3. Designing the data packet structure to integrate critical position, biometrics, and environment information from multiple sensors to improve the safety and