Over the last decade, deep learning methods have gained increasing traction in indus trial applications, ranging from image-based automated quality control, over signal enhancement to condition monitoring tasks. While deep learning has immensely in creased the performance and capabilities of machine learning models, it also increased the vulnerability of those models. Moreover, these models require…
Auscultation with a stethoscope enables us to recognize pathological changes of the lung. It is a fast and inexpensive diagnosis method. However, it has several disadvantages: subjectiveness, i.e. the lung sound evaluation depends on the experience of physicians, can not provide continuous monitoring and a trained expert is required. Furthermore, the characteristics of the lung…
Automotive research is currently heavily oriented towards autonomy and especially developing reliable vehicular connectivity and localization technologies for autonomous driving. Since existing technologies have failed to satisfy all requirements so far, new complementary technologies are sought. Specifically, radio frequency communications like cellular and ?DSRC? suffer from reliability and security issues at mid-range (
Hands-free speech communication devices, typically equipped with multiple microphones and loudspeakers, are used for a wide variety of applications, such as teleconferencing, in-car communication and personal assistants. In addition to capturing the desired speech from the user, the microphones pick up undesired interferences such as background noise and acoustic echo due to the acoustic coupling…
Since speaker verification systems (SV) are typically used for access control, the business decision about their deployment is largely dependent on their efficacy and security. This dissertation investigates methods aiming to increase the robustness of SV towards fraud attempts and reverberation mismatch between speaker enrollment and verification. The impact of reverberation is investigated first in…
The space environment around planet Earth comprises a variety of nonhomogeneous and nonstationary fluxes of natural and man-made junk. Such debris may collide at hypervelocity with strategic orbital infrastructure, thus jeopardizing the space economy. For this reason, the European Space Agency (ESA) sustains a strategy to acquire a ?…capability to watch for objects and natural…
With the rapid development of the internet of things (IoT) and the popularization of mobile internet applications, the location-based service (LBS) has attracted much attention due to its commercial, military, and social applications. The global positioning system (GPS) is the prominent and most widely used technology that provides localization and navigation services for outdoor location…
Abstract Future mobile networks are envisioned to provide wireless access to a massive number of devices. The substantial increase in connectivity comes mainly from machine-type communication (MTC for which a large number of low-rate transmissions take place. Accommodating access for such a large number of user equipment (UEs) can be inefficient if applied to current…
While 5G wireless systems offer significant enhancements to their 4G counterparts in terms of bandwidth, connectivity, latency, etc. they are unable to meet the requirements of the applications envisioned for the next decade. The demands of applications such as super-smart city, autonomous vehicles, smart health-care, etc. are much greater than what 5G systems can afford….
This thesis contributes to motion characterization through inertial and physiological signals captured by wearable devices and analyzed using signal processing and deep learning techniques. This research leverages the possibilities of motion analysis for three main applications: to know what physical activity a person is performing (Human Activity Recognition to identify who is performing that motion…
