Daily Life Activity Recognition with a Head Mounted IMU on Older Adults: Which Features to Extract?

As the population aged 65 and above increases, falls among these older adults emerge as a significant public health concern, leading to disabil- ities and economic burdens. Preventative strategies and personalized fall risk assessments are essential for mitigating fall risks. Human Activity Recognition in early fall risk detection by monitoring...

Loudspeaker Filter Design With AI: Genetic Algorithm Selection Methods

This thesis details the design of a selection operator used in a Genetic Algorithm. The Genetic Algorithm is used for loudspeaker filter design of three way loudspeakers for which tournament selection was chosen as selection operator. A methodology is proposed and used to tune the parameters of tournament selection, which is based on diversity...

Partner selection methods and sustainability ambitions in urban redevelopment plans: A qualitative analysis of the relationship between partner selection methods and the incorporation of sustainability ambitions

Context - Globally, there is climate change that affects life of people and nature on earth. The built environment is responsible for nearly 40% of global energy consumption and approximately onethird of global CO² emissions (JLL, 2020). Therefore, the built environment must become more sustainable. Public and private parties incorporate...

A Machine Learning Approach to Evaluating Aircraft Deviations from Planned Routes

With the increasing trend in air traffic demand and evidence of large deviations from filed flight plans, airspace capacity is not being optimally utilized. In order to improve air traffic flow and capacity management systems, so that air traffic control operators can handle more aircraft safely, air traffic predictability needs to be improved....

Short-term forecasting of non-stationary time series using multiple feature selection methods

Time series forecasting has been proved to be relatively easier for stationary time series, compared to non-stationary time series. This research proposes a method to partially omit the non-stationarity of the data using prioritized sampling. Using multiple feature selection methods in combination with a random forest regressor (RFR), we aim to...

Selection and development of innovative design alternatives: Ethical, social and uncertainty issues

Innovative engineering design shapes the development of novel technologies and is ethically as well as socially relevant, because it affects what kind of possibilities and consequences will arise. A major challenge in engineering design work on innovative technologies is the multitude of uncertainties in the form of known unknowns, unknown...