Automatic patient-ventilator asynchrony detection framework using objective asynchrony definitions

Patient-ventilator asynchrony is one of the largest challenges in mechanical ventilation and is associated with prolonged ICU stay and increased mortality. The aim of this paper is to automatically detect and classify the different types of patient-ventilator asynchronies during a patient's breath using the typically available data on...

Electrochemical Ammonia Synthesis: Hydrogen Permeable Electrodes as Alternative Pathway for Nitrogen Reduction

In the last century, the indiscriminate use of fossil energy to power the industrial revolution and technological progress of humankind, has led to the depletion of limited natural resources and, most importantly, the emission and accumulation of alarming levels of pollutants and greenhouse gases (GHG) in the atmosphere. One of the major...

The DIA-Method for Navigational Integrity

In this contribution we present a review of the DIA-method to ensure navigational integrity. The DIA-method rigorously combines parameter estimation and statistical testing for the Detection, Identification and Adaptation of multivariate and multiple model misspecifications. We describe the statistical properties of the so-obtained DIA...

2nd Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys - Finding Consensus in the Field

The adoption of automated vehicles will be a positive step towards road safety and environmental benefits. However, one major challenge that still exist is motion sickness. The move from drivers to passengers who will engage in non-driving related tasks as well as the potential change in the layout of the car interior that will come with...

Workshop on Multimodal Motion Sickness Detection and Mitigation Methods for Car Journeys

The mass adoption of automated vehicles in the near future will benefit safety (of occupants and pedestrians), the environment (low emissions), and society (accessibility, on-demand travel). There are, however, still challenges that need to be addressed, with one of the most crucial being motion sickness. In automated vehicles, the interior...

Wheel-rail dynamic interaction

A better understanding of wheel-rail dynamic interaction is necessary for the capacity increase of railway transportation. This chapter briefly introduces the consequences, modeling and detection methods of wheel-rail dynamic interaction, and maintenance of the weak track spots where wheel-rail dynamic interaction often occurs. Wheel-rail...

Inferring roof semantics for more accurate solar potential assessment

In guiding the energy transition efforts towards renewable energy sources, 3D city models were shown to be useful tools when assessing the annual solar energy generation potential of urban landscapes. However, the simplified roof geometry included in these 3D city models and the lack of additional semantic information about the buildings'...

Point-based morphological opening with input data retrieval

Mathematical morphology is a technique recently applied directly for point cloud data. Its working principle is based on the removal and addition of points from an auxiliary point cloud that acts as a structuring element. However, in certain applications within a more complex process, these changes to the original data represent an...

Weakly supervised object detection with 2D and 3D regression neural networks

Finding automatically multiple lesions in large images is a common problem in medical image analysis. Solving this problem can be challenging if, during optimization, the automated method cannot access information about the location of the lesions nor is given single examples of the lesions. We propose a new weakly supervised detection method...

Mathematical morphology directly applied to point cloud data

Many of the point cloud processing techniques have their origin in image processing. But mathematical morphology, despite being one of the most used image processing techniques, has not yet been clearly adapted to point clouds. The aim of this work is to design the basic operations of mathematical morphology applicable to 3D point cloud data,...

Detection, Imaging and Characterisation of Fog Fields by Radar

As a significant phenomenon in meteorology, fog has attracted more and more concern from the scientific community, because of its impacts on visibility in air- and road-transportation. E.g., at airports, the frequency of aircrafts taking off and landing has to be reduced during heavy fogs, because in conditions of low visibility the pilots need...

Fault Tolerant Flight Control: A Physical Model Approach

Safety is of paramount importance in all transportation systems, but especially in civil aviation. Therefore, in civil aviation, a lot of developments focus on the improvement of safety levels and reducing the risks that critical failures occur. When one analyses recent aircraft accident statistics, it is clear that a significant portion is...