Searched for: subject%3A%22pca%22
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Melman, T. (author), Abbink, D.A. (author), Mouton, Xavier (author), Tapus, Adriana (author), de Winter, J.C.F. (author)
Current predictors of fuel consumption are typically based on computer simulations or data collections in real traffic, where the route and vehicle type are not under the researcher's control. Here, we predicted fuel consumption using test track data, an approach that allowed for location-specific predictions. Ninety-one drivers drove a total...
journal article 2021
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Casali, Y. (author), Aydin, N.Y. (author), Comes, M. (author)
The Covid19 crisis has highlighted once more that socio-economic inequalities are a main driver of vulnerability. Especially in densely populated urban areas, however, these inequalities can drastically change even within neighbourhoods. To better prepare for urban crises, more granular techniques are needed to assess these vulnerabilities, and...
conference paper 2021
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Fiorellini Bernardis, A. (author), Zhang, H. (author), Sberna, P.M. (author), Bueno Lopez, J. (author), Neto, A. (author), Llombart, Nuria (author)
The time evolution of voltages and currents in a pulsed photo conductive antenna (PCA) source is evaluated resorting to a rigorous procedure that stems from semiconductor physics first, to define the phenomena involved in the generation of the photocurrent, and then relies on an equivalent circuit in time domain, providing a direct estimation...
abstract 2021
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van Steijn, Z.A. (author)
Principal component analysis (PCA) is commonly used in the fields of computer graphics and geometry processing for constructing subspaces that represent the variability present in a dataset. Examples of such datasets are configurations of a non-rigid object, poses of a deformable character or snapshots from a simulation. By applying PCA to the...
master thesis 2020
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van der Veen, A.J. (author), Romme, J.P.A. (author), Cui, Ye (author)
In Principal Component Analysis (PCA), the dimension of the signal subspace is detected by counting the number of eigenvalues of a covariance matrix that are above a threshold. Random matrix theory provides accurate estimates for this threshold if the underlying data matrix has independent identically distributed columns. However, in time series...
conference paper 2020
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Nguyen, T.P.K. (author)
Principal Component Analysis (PCA) is a mathematical instrument beneficial for its dimension reduction whilst keeping the most important data. Due to its advantages, PCA is chosen to handle a substantial amount of data. In this thesis two questions are answered: what variables influence a pupil's attainment test score using linear regression and...
bachelor thesis 2020
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Treur, Rutger (author)
In 1990, the 44/21a-6 well was drilled in the Southern North Sea. Core material was taken from the Westphalian A/B part of the core. Some of this core material was recently obtained by the TU Delft via the North Sea Core Initiative. Since the Westphalian A/B in the Pennine Basin is fluvio-deltaic in origin, it is highly variable both vertically...
bachelor thesis 2020
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Cheung, Tim (author)
In this modern age, data is being generated constantly and data is being saved for analysis everywhere. In the maritime industry, interest in the analysis of ship data has grown over the years. In this thesis, we will take a look at AIS data coupled with sea state data. AIS data is data generated from the ship, concerning the ship locations,...
master thesis 2020
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Medina Pena, N.J. (author), Abebe, Y.A. (author), Sanchez, Arlex (author), Vojinovic, Zoran (author)
Small Island Developing States (SIDS) are vulnerable to sea-level rise and hydro-meteorological hazards. In addition to the efforts to reduce the hazards, a holistic strategy that also addresses the vulnerability and exposure of residents and their assets is essential to mitigate the impacts of such hazards. Evaluating the socioeconomic...
journal article 2020
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Krishnakumari, P.K. (author), van Lint, J.W.C. (author), Djukic, T. (author), Cats, O. (author)
The fundamental challenge of the origin-destination (OD) matrix estimation problem is that it is severely under-determined. In this paper we propose a new data driven OD estimation method for cases where a supply pattern in the form of speeds and flows is available. We show that with these input data, we do not require an iterative dynamic...
journal article 2020
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Garufo, A. (author), Carluccio, G. (author), Llombart, Nuria (author), Neto, A. (author)
A novel equivalent circuit for pulsed photoconductive sources is introduced for describing the coupling between the photoconductive gap and the antenna. The proposed circuit effectively describes the mechanism of feeding the antenna by the semiconductor when this latter is illuminated by a laser operating in a pulsed mode. Starting from the...
journal article 2018
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Kang, Z. (author), Yang, Juntao (author), Zhong, Ruofei (author), Wu, Yongxing (author), Shi, Zhenwei (author), Lindenbergh, R.C. (author)
The digital mapping of road environment is an important task for road infrastructure inventory and urban planning. Automatic extraction and classification of pole-like objects can remarkably reduce mapping cost and enhance work efficiency. Therefore, this paper proposes a voxel-based method that automatically extracts and classifies three...
journal article 2018
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Jaspers, Ted (author)
The past decade the packing approach was developed at the TU Delft. This tool automatically generates tens of thousands of ship designs in order to fully explore the design space. This is opposed to the traditional way of ship design, where just a limited number of designs can be elaborated. The result is a set of ship designs that can be used...
master thesis 2017
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Nurunnabi, Abdul (author), Sadahiro, Yukio (author), Lindenbergh, R.C. (author)
This paper investigates the problems of cylinder fitting in laser scanning three-dimensional Point Cloud Data (PCD). Most existing methods require full cylinder data, do not study the presence of outliers, and are not statistically robust. But especially mobile laser scanning often has incomplete data, as street poles for example are only...
journal article 2017
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Girardin, V.E.J. (author)
The modelling of non-gravitational forces acting on a satellite (especially a GNSS satellite) started half a century ago. Their modelling to low Earth orbiters (LEOs), however, are more recent because of the dominating atmospheric drag, the modelling of which requires the precision of recent atmospheric models. However, this is not an issue for...
master thesis 2016
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Hewson, C.W. (author)
Production optimisation of a reservoir simulation problem can be very computationally demanding as the reservoir model may contain many variables and nonlinearities, thus many iterations may be needed to obtain an optimal production schedule. Using Proper Orthogonal Decomposition and Trajectory Piecewise Linearization (POD-TPWL) developed in [1]...
master thesis 2015
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Liebens, S. (author), Chi, H. (author)
A person with cancer has several treatment options. One of which is radiotherapy. Radiotherapy is treatment of cancer with radiation. To minimize the damage to healthy tissue, radiation is applied from several directions into the body. When treating cancer with radiotherapy, the organs nearby the tumor are at high risk of getting damaged. In the...
bachelor thesis 2015
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Djukic, T. (author)
Dynamic origin-destination (OD) demand is important input to many simulation models applied within dynamic traffic management systems (DTMS) for predicting traffic states on the network. The inability to provide high-quality dynamic OD demand estimates makes prediction with simulation models simply impossible, irrespective of how well these...
doctoral thesis 2014
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Jansen, J.D. (author)
This note describes the theory behind a simple Matlab program to generate ensembles of geological realizations of relatively small-scale reservoir models (permeability fields) for subsurface flow simulation. The algorithm makes use of Principal Component Analysis (PCA) to parameterize the spatial covariance of a reference image, and a Bayesian...
report 2013
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Almuhamadi, A. (author)
In this thesis a research about a face recognition system is presented. The system uses a database of images to identify individuals. The starting point is a huge database of “known faces”, the FERET database. If a new face is presented the system has to decide whether this face is a member of the database or not. The matching of a face can be...
master thesis 2012
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