This paper addresses an approach to teaching embedded systems programming through a challenge-based competition involving robots. This pedagogical project distinguishes itself by incorporating international students from three international institutions through the Blended Intensive Program (BIP). The …

Introduction Although the prevalence of dementia increases among people with severe/profound intellectual (and multiple) disabilities (SPI(M)D), dementia in people with SPI(M)D is not yet fully understood. Therefore, this study aimed to characterize the natural history of dementia in people with SPI(M)D, …

Objective Many patients with coronavirus disease 2019 (COVID-19) infections were admitted to an intensive care unit (ICU). Physical impairments are common after ICU stays and are associated with clinical and patient characteristics. To date, it is unknown if physical functioning and health status are …

Sinds de zomer van 2021 zijn de energieprijzen gestegen. Dit veroorzaakt een schok door de tuinbouwsector aangezien energie ongeveer 33% van de kostprijs is van tuinbouwproducten. Het probleem werd erger toen begin 2022 de leveringen van gas uit Rusland onzeker werden. Vanaf toen is de overheid volop …

In this work, a feasible and low-cost approach is proposed for level measurement in multiphase systems inside tanks used for petroleum-derived oil production. The developed level sensor system consisted of light-emitting diodes (LEDs), light-dependent resistor (LDR), and a low-cost microprocessor. Two …

Vier hogescholen zijn een onderzoek gestart om handvatten te ontwikkelen voor gebiedsontwikkelaars die natuurinclusief willen ontwikkelen, genaamd: Natuurinclusieve gebiedsontwikkeling. Natuurinclusieve gebiedsontwikkeling is namelijk belangrijk voor het mitigeren van de klimaatproblematiek. Dit onderzoek …

The use of machine learning in embedded systems is an interesting topic, especially with the growth in popularity of the Internet of Things (IoT). The capacity of a system, such as a robot, to self-localize, is a fundamental skill for its navigation and decision-making processes. This work focuses on …

Localization is a crucial skill in mobile robotics because the robot needs to make reasonable navigation decisions to complete its mission. Many approaches exist to implement localization, but artificial intelligence can be an interesting alternative to traditional localization techniques based on model …

An energy harvesting device for obtaining instantaneous energy from drops without needing of moving the drops along the device, in a reduced scale and combinable with other types of harvesting devices, the energy harvesting device comprising one or more triboelectric generators comprising a bottom electrode, …