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Kunneman, Youetta (author), Alves da Motta-Filho, Mauricy (author), van der Waa, J.S. (author)
To support effective and successful projects, Service Design practitioners rely on insights that mainly build on qualitative research methodology. The literature on data science promises to help transform how design research is done, adding sophisticated quantitative analyses, complementing existing methods with the power of machines. Due to...
journal article 2022
document
Bonifazi, A. (author), Sun, Junzi (author), van Baren, Gerben (author), Hoekstra, J.M. (author)
Not all flight data anomalies correspond to operational safety concerns. But anomalous safety events can be linked to anomalies in flight data. During the final phases of a flight, two significant safety events are unstable approach and goaround. In this paper, using Automatic Dependent Surveillance- Broadcast (ADS-B) data, we develop several...
conference paper 2021
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Athanasiou, Panagiotis (author), Van Dongeren, Ap (author), Giardino, Alessio (author), Vousdoukas, Michalis (author), Antolínez, José A. Á. (author), Ranasinghe, Roshanka (author)
Dune erosion driven by extreme marine storms can damage local infrastructure or ecosystems and affect the long-term flood safety of the hinterland. These storms typically affect long stretches (∼100 km) of sandy coastlines with variable topo-bathymetries. The large spatial scale makes it computationally challenging for process-based...
journal article 2021
document
Bonifazi, Alberto (author)
This thesis shows that it is possible to produce safety knowledge by mining Automatic Dependent Surveillance-Broadcast (ADS-B) data. The methodology combines exceedance detection and anomaly detection techniques to identify anomalous safety events in approach flights. One of these events is unstable approaches, which are identified with a rule...
master thesis 2020
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Scott, Fred (author), Antolinez, Jose A.A. (author), McCall, Robert (author), Storlazzi, Curt (author), Reniers, A.J.H.M. (author), Pearson, S.G. (author)
Many coral reef-lined coasts are low-lying with elevations <4 m above mean sea level. Climate-change-driven sea-level rise, coral reef degradation, and changes in storm wave climate will lead to greater occurrence and impacts of wave-driven flooding. This poses a significant threat to their coastal communities. While greatly at risk, the...
journal article 2020
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Engström, Johan (author), Miller, Andrew (author), Huang, Wenyan (author), Soccolich, Susan (author), Ghanipoor Machiani, Sahar (author), Jahangiri, Arash (author), Dreger, F.A. (author), de Winter, J.C.F. (author)
This report gives an overview of the main findings from the Behavior-based Predictive Safety Analytics – Pilot Study project. The main objective of the project was to investigate the possibilities of developing statistical models predicting individual driver crash involvement based on individual driving style, demographic and behavioral history...
report 2019
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Ali-Eldin, A.M.T. (author), Zuiderwijk-van Eijk, A.M.G. (author), Janssen, M.F.W.H.A. (author)
While the opening of data has become a common practice for both governments and companies, many datasets are still not published since they might violate privacy regulations. The risk on privacy violations is a factor that often blocks the publication of data and results in a reserved attitude of governments and companies. Additionally, even...
conference paper 2017
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Meulenberg, Q.J.J. (author)
Data mining is more and more applied in organizations, but often fails to realize its full potential. It delivers too many results, and not all results are useful for the organization. Moreover, by applying DM in organizations, the interface between data mining and decision making has to be crossed. This report presents a framework to apply data...
master thesis 2015
document
Van der Ende, D.J. (author)
Mean Shift is a well-known clustering algorithm that has attractive properties such as the ability to find non convex and local clusters even in high dimensional spaces, while remaining relatively insensitive to outliers. However, due to its poor computational performance, real-world applications are limited. In this thesis, we propose a novel...
master thesis 2015
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Li, D. (author), Daamen, W. (author), Goverde, R.M.P. (author)
Train dwell time is one of the most unpredictable components of railway operations mainly due to the varying volumes of alighting and boarding passengers. For reliable estimations of train running times and route conflicts on main lines it is however necessary to obtain accurate estimations of dwell times at the intermediate stops on the main...
conference paper 2015
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Schraven, M. (author)
The Royal Netherlands air force (RNLAF) has been coping with a low availability of F-16 aircraft. It has been acknowledged that increasing the availability of avionics components is most beneficial to increasing fleet availability. Especially for F-16, rich database information is available including past operations and maintenance dating back...
master thesis 2015
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Van der Valk, R.J.A. (author)
A significant amount of payments fail for seemingly ‘mysterious’ reasons when refused by an issuer (i.e. cardholder’s bank). The technical and social complexities, such as a principal-agent problem, hinder the development of policies or information architectures, which impose an issuer to share its ‘honest’ reason. In this thesis we propose a...
master thesis 2015
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Kecman, P. (author)
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...
doctoral thesis 2014
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Van den Bos, G. (author)
Continuous Risk Management (CRM) is a practice in which there is a continuous assessment of the risks that exist or could arise. In addition, in CRM it is determined which risks have priority to be dealt with and strategies are considered that could be implemented to deal with the risks. This thesis demonstrates how CRM of (mortgage) customers...
master thesis 2014
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Sokmenoglu, A. (author), Sonmez, N.O. (author)
In this paper we explore the land-use patterns of a historical mixed-use quarter of Istanbul by focusing on the reciprocal relationships of housing and commercial uses. We are concerned with the distribution of land-use patterns based on spatial adjacency and land-use patterns within the buildings. We measure reciprocal relationships of housing...
conference paper 2013
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Sokmenoglu, A. (author), Sonmez, N.O. (author)
In this paper we explore the land-use patterns of a historical mixed-use quarter of Istanbul by focusing on the reciprocal relationships of housing and commercial uses. We are concerned with the distribution of land-use patterns based on spatial adjacency and land-use patterns within the buildings. We measure reciprocal relationships of housing...
conference paper 2013
document
Chaszar, A. (author), Beirao, J.N. (author)
In urban planning exploration and analysis assist the generation, measurement, interpretation and management of the modelled urban environments. This frequently involves categorisation of model elements and identification of element types. Such designation of elements can be achieved through attribution (e.g. ‘tagging’ or ‘layering’) or direct...
conference paper 2013
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Meens, V.F. (author)
Data mining promises to make life easier for business decision makers and analysts. Therefore data mining has a great history in the academic field and in the nowadays also in various other areas such as finance and retail there is a large amount of general data mining literature available. However, to be able to apply data mining to a business...
master thesis 2012
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Huang, D. (author)
This master thesis aims at developing the methodology to form dynamic PTDF families, for the implementation into the market model. The main procedures to create a dynamic PTDF family are developed and presented with a study case (See Chapter 4). By fitting data from the market model into the data mining tools, typical scenarios of the time...
master thesis 2011
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Harahap, G. (author)
Improving the performance of Automated Speech Recognition system requires incorporating more knowledge in the model of Automated Speech Recognition system. Information such as the context of the conversation and the characteristics of the speaker can make the task of recognizing speech more accurate. The challenge is how this knowledge can be...
master thesis 2010
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