Currently the advances in the field of 3D printing are causing a revolution in the (bio-)medical field. With applications ranging from patient-specific anatomical models for surgical preparation to prosthetic limbs and even scaffolds for tissue engineering, the possibilities seem endless. Today, the …

The estimation of the pose of a differential drive mobile robot from noisy odometer, compass and beacon distance measurements is studied. The estimation problem, which is a state estimation problem with unknown input, is reformulated into a state estimation problem with known input and a process noise …

The current configuration of the robotic stearate coating process only supports certain bead sizes, the rest is coated manually. The current configuration lacks capacity and requires a lot of maintenance due to the age of the used robots. To be able to support all bead sizes, increase the daily capacity, …

Many people on Earth are hungry or do not have a reliable source of drinking water. Drought-tolerantcrops do not need much water to grow and therefor usable in regions where water is an issue. Cropbreeders are working on crops that are more drought-tolerant and grow faster. Corp …

Dit verslag is opgesteld om het ontwerp-process van de Xe-Link Sensor interface board te documenteren, als afstudeerop dracht. Dit verslag is opgesteld door Lex Pardon voor de Haagse Hogeschool in de vorm van een eindverslag van een stage-periode bij Xeelas. De Xe-Link sensor interface board is een …

Current symptom detection methods for energy diagnosis in heating, ventilation and air conditioning (HVAC) systems are not standardised and not consistent with HVAC process and instrumentation diagrams (P&IDs) as used by engineers to design and operate these systems, leading to a very limited application …

In this article a generic fault detection and diagnosis (FDD) method for demand controlled ventilation (DCV) systems is presented. By automated fault detection both indoor air quality (IAQ) and energy performance are strongly increased. This method is derived from a reference architecture based on a …

Machine learning models have proven to be reliable methods in classification tasks. However, little research has been done on classifying dwelling characteristics based on smart meter & weather data before. Gaining insights into dwelling characteristics can be helpful to create/improve the policies for …

Onze leef- en werkomgeving heeft invloed op onze gezondheid, maar het nauwkeurig bepalen van persoonlijke blootstelling aan verschillende milieufactoren blijft een uitdaging. Toch is dit wel van belang, omdat bijvoorbeeld de blootstelling aan fijnstof, stikstofdioxide en ozon jaarlijks al leidt tot 12.000 …

On April 16 and 17, 2020, the third edition of the Sensor data challenge was held by The Hague University of Applied Sciences, Statistics Netherlands, Utrecht University and the National Institute for Public Health and the Environment. The Sensor data challenge provides hardware (various sensors, raspberryPI) …