Categorical based feature modeling on a zero inflated performance measure

ASML produces TwinScan NXT machines that are used for the production of microchips. The machines ensure that an accurate pattern of DUV-light passes a lens and that it is projected as accurate as possible on the wafer. To ensure that the focal point of the converged DUV-light falls exactly onto the wafer, the leveling functionality is of great...

Using road topology to improve cyclist path prediction

We learn motion models for cyclist path prediction on real-world tracks obtained from a moving vehicle, and propose to exploit the local road topology to obtain better predictive distributions. The tracks are extracted from the Tsinghua-Daimler Cyclist Benchmark for cyclist detection, and corrected for vehicle egomotion. Tracks are then...

Strong Agile Metrics: Mining Log Data to Determine Predictive Power of Software Metrics for Continuous Delivery Teams

ING Bank, a large Netherlands-based internationally operating bank, implemented a fully automated continuous delivery pipeline for its software engineering activities in more than 300 teams, that perform more than 2500 deployments to production each month on more than 750 different applications. Our objective is to examine how strong metrics for...

A human-like steering model: Sensitive to uncertainty in the environment

The interaction between a human driver and an automated driving system may improve when the automation is designed in such a way that it behaves in a human-like manner. This paper introduces a human-like steering model, in which the driver adapts to the risk due to uncertainty in the environment. Current steering models take a risk-neutral...

Modelling fresh properties of self-compacting concrete using neural network technique

The purpose of this paper is to investigate the feasibility of using artificial neural network programming for the prediction of the fresh properties of self-compacting concrete. The input parameters of the neural network were the mix composition influencing the fresh properties of self-compacting concrete namely, the cement content, the...

Organic micropollutant removal during river bank filtration

This study investigated the factors influencing the main removal mechanisms (adsorption and biodegradation) for organic micropollutant (OMP) removal during river bank filtration (RBF) and the possibility of developing a predictive model of this process for OMP removal during RBF. Chapter 2 analysed the sorption and biodegradation behaviour of 14...

A physical model to describe the distribution of adhesion strength in MEMS, or why one MEMS device sticks and another ‘identical’ one does not

In this paper a model is presented that describes the distribution of adhesion values typically experimentally observed for different MEMS devices that have been fabricated in the same way. This spread is attributed to the fact that different devices differ in the details of their surface roughness, even if these surface roughnesses are modeled...

Predictive modelling of running and dwell times in railway traffic

Accurate estimation of running and dwell times is important for all levels of planning and control of railway traffic. The availability of historical track occupation data with a high degree of granularity inspired a data-driven approach for estimating these process times. In this paper we present and compare the accuracy of several approaches...

Models for Predictive Railway Traffic Management

The potential growth in transport demand in the next decade and beyond requires a change from reactive to proactive traffic control to maintain and improve the reliability of railway traffic. In order to enable an anticipative approach to traffic management, it is necessary to develop the tools for monitoring, prediction and optimisation of the...

Predicting the Individual Pathway of the Kidney Donor and Acceptor Patient based on Preoperative Patient Data

Background – With the growing costs in healthcare and the growing need for care, prediction models offer great opportunities for improving efficiency and patient outcome. With these models, one can manage the different outcomes as efficient as possible and next to that, understand which variables influence the patient’s pathway. The Erasmus...

Modeling and analyzing autogenous shrinkage of hardening cement paste

In this paper, a conceptual model for analyzing the plastic part of autogenous deformation of cement paste based on the Arrhenius rate theory will be presented. The autogenous deformation will be calculated from the elastic deformations with inclusion of creep. Different kinds of cement paste with a water cement ratio 0.3 are tested and studied,...

Prediction of project performance; Development of a conceptual model for predicting future performance of an OG&C project in an EPC environment

The projects in oil and chemical (O&C) industry often experience problems during their execution, because of those problems, some of the project ends with large cost and schedule overruns. The poor performance of projects not only affects the strategic objective of project’s owner but also poses a dual threat to engineering and construction (E&C...

Een modelonderzoek naar bermongevallen: Een correlatieonderzoek naar bermongevallen en het dwarsprofiel, plus een handreiking voor de ontwikkeling van nieuwe ongevallenvoorspellingsmodellen en een nieuwe onderzoeksdatabase van wegkenmerken op basis van de ontwikkeling van de BGT

Nederland heeft de ambitie om het aantal dodelijke en ernstige ongevallen met 25% te reduceren. De ontwikkeling van ongevallenvoorspellingsmodellen (OVM’s) kan hier een bijdrage aan leveren. Op basis van de ontwikkeling van OVM’s kunnen allereerst de effecten van het wegontwerp op de verkeersveiligheid beter worden ingeschat dan in de huidige...

Development of a prediction model for speed limit violations on tangent road sections

Speeding and red light running are among the major causes for road crashes. Respectively, speeding is more crucial for rural areas, whereas red light running is more frequent in urban areas where most of the traffic lights are located. To adequately address both issues consistent actions are needed in three main directions (also known as the...

Comparing Fine-Grained Source Code Changes And Code Churn For Bug Prediction

A significant amount of research effort has been dedicated to learning prediction models that allow project managers to efficiently allocate resources to those parts of a software system that most likely are bug-prone and therefore critical. Prominent measures for building bug prediction models are product measures, e.g., complexity or process...

Performance of a spectral wind-wave model in shallow water

A numerical wave prediction model DOLPHIN: Theory and test results

This report gives the basic theory of ocean waves and ocean wave prediction and a description of the physical background and of tests of the wave hindcast model DOLPHIN.