Automatic Detection of Mind-Wandering using Facial Expressions

Spending time in front of screens has become an inescapable activity, which might be interrupted by unrelated external causes. While automatic approaches to identify mind-wandering (MW) have already been investigated, past research was done with self-reports or physiological data. This work explores automated detection utilizing solely facial...

Data-driven leading edge erosion detection for wind turbine blades using SCADA data

Wind turbines are operating in harsh environmental conditions, especially offshore. An implication of these conditions, caused by the impact of precipitation, is the development of leading edge erosion (LEE). This leads to degraded blade surfaces that result in lower aerodynamic performance. Leading edge erosion is researched in many ways but...

Investigating the efficiency of detection methods against network covert timing channels

Network covert timing channels are techniques to covertly transmit information over computer networks, by utilizing the time between subsequent network packets. Previous work on the detection of the various techniques has introduced numerous new methods, with high reported success. From these previous works we have noticed that there is little...

BGP security and the future: A meta-analysis of BGP threats and security to provide a new direction for practical BGP security

The Internet consists of many subnetworks, which are connected to each other. These subnetworks are the autonomous systems (ASes) that make up the Internet: each hosts a part of it. In order to successfully determine routes from one of these ASes to the other, the Border Gateway Protocol (BGP) is used. This protocol has several security flaws...

Learning Off-By-One Mistakes: An Empirical Study on Different Deep Learning Models

Mistakes in binary conditions are a source of error in many software systems. They happen when developers use < or > instead of <= or >=. These boundary mistakes are hard to find for developers and pose a manual labor-intensive work. While researches have been proposing solutions to identify errors in boundary conditions, the problem...

Marine Unexploded Ordnance Detection with the Transient Electromagnetic Method: A Numerical Feasibility Study

The hazards of unexploded ordnance threaten the increasing marine construction activities nowadays, which increases the importance of unexploded ordnance detection. Research has shown that transient electromagnetic methods can successfully be used to detect unexploded ordnance on land. New equipment is being developed to make marine unexploded...

Accelerating neural networks embedded on a microcomputer trained on KITTI

Due to a high contribution of human error in fatal traffic accidents, efforts in research and industry for automating vehicles steadily increased the last 3 decades. To reduce accidents with other road users, automated recognition and classification of road users is crucial. The most accurate models are large convolutional neural networks,...

Detecting Perivascular Spaces: a Geodesic Deep Learning Approach

Perivascular spaces (PVS) visible on MRI are currently emerging as an important potential neuroimaging marker for several pathologies in the brain like Alzheimer’s disease and cerebral small vessel disease. PVS are fluid-filled spaces surrounding vessels as they enter the brain. Although PVS are normally not noticeable on MRI scans acquired at...

Redesign of the Solution Algorithms in Wanda

The Wanda software package developed by Deltares can used for simulating both steady state and transient fluid flow in pipeline systems. Steady state simulations are used for initial system design and transient flow simulations are used for doing water hammer analysis in pipeline systems. For both types of simulations a system consisting of both...

Full-Whisker Tracking System: A new algorithm for accurate whisker tracking in untrimmed head-fixed mice.

The movement of whiskers in head-fixed mice is of high interest for neurological research, as it allows scientists to learn more about learning processes during active touch. However, manual tracking of whiskers in thousands of frames is not feasible, and reliable tracking of individual whiskers is not possible with the best current software...

Detecting Code Smells in Android Applications

Code smells are patterns in programming code which indicate potential issues with software quality. Previous research resulted in the development of code smell detectors: automated tools which traverse through large quantities of code and return smell detections to software developers.<br/>The Android platform has become very popular over the...

An Assessment of Cloud Detection Methods Concerning High Altitude Snow and Glacial Environments With Sentinel-2

Glacier fluctuations are regarded as one of the most significant indicators of climate change. The expansion and contraction of glaciers can be observed by outlining glacier boundaries or measuring snow lines with optical Earth observation satellites. New satellites, such as Sentinel-2A/B, provide high spatial resolution images and short revisit...

The Parallel Seismic detection of defects in pile foundations

The Parallel Seismic (PS) test is a non-destructive test that is used to determine the depth of foundations. This thesis explores the use of the PS method to detect flaws in in-situ constructed foundation piles as an alternative to existing testing methods. An acoustic signal is introduced to the head of the pile with a hammer. An elastic wave...

A Continuous Calibration Method For the Transfer Stabilization of Successive Detection Logarithmic Amplifiers

To ensure efficient and reliable operation of power amplifiers it is very important to precisely measure and control the power of the signal they transmit. A device most often used to do precise power measurements of RF systems is the so-called RF power detector. As this detector is used as measurement device the precise measurement ability of...

Model-based Classification of Human Motion: Using a Particle Filter Approach

Automatic detection of humans is an important part of many security and surveillance applications. Automatic processing diminishes the effect of human errors on the detection and allows extensive analysis after detection. Radar has certain advantages for human detection because of its all-weather and day and night capability, as well the fact it...

Infrasound source location: An automated method to estimate the location of infrasound sources as detected by microbarometer array recordings in the Netherlands over 2007

By recording infrasound signals one is able to listen to the sound of highly energetic events such as volcanoes, meteorites and the supersonic flight of aircraft, even if these occur hundreds of kilometres away. Recordings of infrasound signals are made using infrasound arrays, which can determine the incoming direction of the signals. In this...