Autoencoder-enabled model portability for reducing hyperparameter tuning efforts in side-channel analysis

Hyperparameter tuning represents one of the main challenges in deep learning-based profiling side-channel analysis. For each different side-channel dataset, the typical procedure to find a profiling model is applying hyperparameter tuning from scratch. The main reason is that side-channel measurements from various targets contain different...

Evaluating the generalizability and transferability of water distribution deterioration models

Small utilities often lack the required amount of data to train machine learning-based models to predict pipe failures, and hence are unable to harness the possibilities and predictive power of machine learning. This study evaluates the generalizability and transferability of a machine learning model to see if small utilities can benefit from...

A fast instance reduction algorithm for intrusion detection scenarios

We live in a world that is being driven by data. This leads to challenges of extracting and analyzing knowledge from large volumes of data. An example of such a challenge is intrusion detection. Intrusion detection data sets are characterized by huge volumes, which affects the learning of the classifier. So there is a need to reduce the size...

Efficient implementation of an audio preprocessing algorithm for SNN keyword spotting

Mobile devices are getting increasingly powerful, becoming compatible<br/>for an ever increasing set of functionality. Applications based around<br/>neural networks however still have to offload parts of their computations<br/>to the cloud since current Artificial Neural Networks (ANNs) are<br/>still too computationally expensive for any...

Automatic Psychological Text Analysis using Support Vector Machine Classification

In recent years, there has been an increasing number of patients with mental disorders. A conversational agent is being developed to ensure an easier diagnosis based on the chat between a patient and the agent. The objective of this research is to assess how well Support Vector Machine (SVM) classifies text into its corresponding schema, which...

Automatic schema classification for Schema-Focused Therapy using k-Nearest Neighbour

Personality disorders affect 1 in 7 adults reducing their quality of life. Schema-focused therapy (SFT) has become very popular in Psychotherapy in the treatment of personality disorders (PD), unfortunately there is still in increasing societal need for such mental healthcare. Automation in the assessment of SFT allows for Ecological Momentary...

Towards orientation estimation using a loosely attached IMU with a recurrent neural network

Inertial measurement units (IMUs) are getting more and more incorporated into our lives due to their improving accuracy, lower cost and smaller sizes. Applications for inertial-based orientation estimation can already be found in the field of computer vision, aerospace engineering, robotics, navigation, biomechanics, health monitoring and sports...

Production Optimization: Introducing Quick Response Manufacturing to the Preprocessing Stage of Shipbuilding

This article aims at finding a match between Quick Response Manufacturing (QRM) and the preprocessing stage of shipbuilding. Preprocessing is the first stage of the ship production process, where steel plates are cut into parts, that are ground and sorted to build stiffened panels and ships’ sections. Quick Response Manufacturing is a management...

The Shortest Path Problem on Real Road Networks: Theory, Algorithms and Computations

This thesis contains the following subjects: - Several shortest path algorithms, both label-setting and label-correcting; - Unidirectional and bidirectional methods; - A* algorithms; - Symmetric and balanced estimators; - Preprocessing techniques. This thesis contains an elaborate, comparative evaluation of the various methods described....

Minimally Unsatisfiable Subformulae

Minimal unsatis?ability is a topic in the ?eld of satis?ability (SAT). Minimally unsatis?able subformulae (MUSes) are minimal subsets of an unsatis?able formula that are unsatis?able. They can therefore be seen as causes of unsatis?ability. With recent improvements in SAT solving, extracting MUSes has also become faster. Lately increasingly more...

Preprocessing of gravity gradients at the GOCE high-level processing facility

One of the products derived from the gravity field and steady-state ocean circulation explorer (GOCE) observations are the gravity gradients. These gravity gradients are provided in the gradiometer reference frame (GRF) and are calibrated in-flight using satellite shaking and star sensor data. To use these gravity gradients for application in...

A modular and versatile acquisition, recording and preprocessing system for airborne remote sensing

The National Aerospace Laboratory "NLR" is the operator of an aircraft which can be equipped with either a SLAK, a multl spectral scanner or a TVbased scanner. The airborne recording equipment la designed to accommodate these various sensors. The general airborne system setup is: the sensor, a dedicated digitizing unit and an Interface to a High...

Crop identification with microwaves (SLAR-data of 1985)

Microwaves (i.e. X-band SLAR) have been used in The Netherlands for many years within ROVE to identify agricultural crops. This report deals with data acquisition, preprocessing and classification of agricultural crops in The Netherlands using the Dutch Digital SLAR. With internal and external calibration of the instrument satisfactory results...