Publicaties
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Estimation of the Permeability Tensor of the Microvasculature of the Liver through Fabric Tensors Universiteit Gent
Diffusion Tensor Imaging Metrics of the Corpus Callosum in Relation to Bimanual Coordination: Effect of Task Complexity and Sensory Feedback KU Leuven Universiteit Gent
When manipulating objects with both hands, the corpus callosum (CC) is of paramount importance for interhemispheric information exchange. Hence, CC damage results in impaired bimanual performance. Here, healthy young adults performed a complex bimanual dial rotation task with or without augmented visual feedback and according to five interhand frequency ratios (1:1, 1:3, 2:3, 3:1,3:2). The relation between bimanual task performance and ...
An output-only ARX model-based sensor fusion framework on structural dynamic measurements using distributed optical fiber sensors and fiber Bragg grating sensors Universiteit Gent
Low power wireless sensor network for structural health monitoring of buildings using MEMS strain sensors and accelerometers Universiteit Gent
Within the MEMSCON project, a wireless sensor network was developed for structural health monitoring of buildings to assess earthquake damage. The sensor modules use custom-developed capacitive MEMS strain and 3D acceleration sensors and a low power readout application-specific integrated circuit (ASIC). A low power network architecture was implemented on top of an 802.15.4 media access control (MAC) layer in the 900MHz band. A custom patch ...
Active Self-Testing Noise Measurement Sensors for Large-Scale Environmental Sensor Networks Vrije Universiteit Brussel
Large-scale noise pollution sensor networks consist of hundreds of spatially distributed microphones that measure environmental noise. These networks provide historical and real-time environmental data to citizens and decision makers and are therefore a key technology to steer environmental policy. However, the high cost of certified environmental microphone sensors render large-scale environmental networks prohibitively expensive. Several ...
Kernels and Tensors for Structured Data Modelling (Kernels en tensoren voor het modelleren van gestructureerde data) KU Leuven
A key ingredient to improve the generalization of machine learning algorithms is to convey prior information, either by choosing appropriate input representations or by tailored regularization schemes. This becomes of paramount importance in all the applications where the number of available observations for training is limited. In many of such cases, data are structured and can be conveniently represented as higher order arrays (tensors). The ...
Sensor and Instrumentation for Cable Tension Quantification KU Leuven
A stainless steel based miniature sensor is designed and fabricated for cable tension measurement. The sensor, with a cut out pattern, is only 5 mm high, has an external diameter of 4.5 mm and is instrumented with four silicon strain gauges. Applied load will elastically deform the sensor geometry and will induce a resistance change in the Si-piezoresistors. Instrumentation is done using commercial components, and comprise two programmable ...
An Energy-Efficient Capacitance-Controlled Oscillator-based Sensor Interface for MEMS sensors KU Leuven
This paper presents the optimization and implementation of an area- and energy-efficient capacitance-controlled oscillator-based sensor interface, which outputs a period-modulated signal. This time-based output signal can easily be digitized with a reset counter, which benefits from firstorder quantization noise shaping and oversampling. The circuit is prototyped in 130-nm CMOS technology and takes only 0.05 mm2. The performance is validated ...
Mechatronic powertrain virtual sensor: system-level model and sensor selection KU Leuven
Virtual sensors provide measurements for variables and parameters which are difficult to measure, based on a small number of (preferably pragmatic) measurements in combination with a numerical model of the observed system. This work presents a global virtual sensor to extract the full state of a mechatronic drivetrain based on a system-level model and a Kalman filter. Sensor selection is performed based on an observability analysis and the ...