Over the years, care givers in nursing homes have seen their workload gradually increase. With no end of this trend in sight, the need for smart support systems increases. Especially systems which decrease the time spent on menial tasks are valued highly, because this frees more time for high quality and personal care.
To achieve this, Momo Medical is expanding on its nurse support system. This is a network of integrated smart solutions aiming at supporting care givers in nursing homes to provide better, faster and more personal care. The backbone of this nurse support system consists of the BedSenses, sensors which are placed under mattresses of each resident and can measure a variety of things.
This thesis describes the process of designing and creating a localization algorithm for this nurse support system. This algorithm can find residents by tracking the panic buttons they wear, so that in case of an emer- gency or whenever a care giver wants to know where a resident is located, they do not need to undertake a time consuming search in order to find them. These panic buttons send out an alive signal once every minute as well as a signal whenever the button is pressed. These signals are received by any nearby BedSenses. The algorithm looks at the signal strength with which each BedSense receives these signals and uses this to per- form localization.

The primary goal of this study is to infer a time-domain (TD) counterpart of the frequency domain leaky wave. To reach this goal, a number of challenging problems will be tackled: (1) Develop adequate computational tools for performing detailed TD electromagnetic (EM) analyses via CST Studio simulations, the post-processing of the results included. (2) The TD study of the radiation from a gap-fed long slot at an air-dielectric interface. (3) The TD study of the radiation from a gap-fed long slot located just below an air-dielectric interface. The results of these explorations represent a first step towards establishing a causal counterpart of the leaky-wave radiation.

In this bachelor thesis the design process of the audio and intermediate frequency amplifiers for a wireless FM tranceiver is documented and explained. The project was done using only descrete components for educational purposes.

This is a bachelor thesis about the design and development of an observation and sensing module for the Deci Zebro robot that is being developed at the EEMCS faculty of Delft University of Technology.
This part of the thesis is about the development of a cliff- and obstacle detection system, as well as the designanddevelopmentofafittingplasticenclosureforthemoduleandthedesignofaPCBthatintegrates the module’s electronics.
The report explores and compares different types of distance sensors and concludes that the best option is to use two infrared-based distance sensors on the left and the right of the robot for cliff detection, and a rotating ultrasonic transceiver on a servo motor to detect obstacles. For easy debugging and to allow communication with nearby humans, a LED ring was also fitted to the top of the module. The design process and the implementation of these components is described in detail.
The module’s enclosure is designed using SolidWorks software and afterwards printed using a 3D-printer. The PCB is designed using the opensource KiCad software.