Searched for: subject%3A%22interval%22
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van Gorp, Vincent (author)
Urban Air Mobility (UAM) has seen remarkable growth over the past decade, especially considering the delivery of goods. Notably, the delivery of medical supplies via Unmanned Aerial Vehicles (UAVs) has emerged as a promising application, which is driven by its societal benefits and has been demonstrated successfully in rural environments....
master thesis 2024
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ten Haven, Olivier (author)
Accurately determining the early Post-Mortem Interval (PMI), the period shortly after death, is critical for reconstructing the timeline of suspected crimes. The PHOEBE model, a new thermodynamic finite-difference model that simulates body cooling, significantly improves PMI estimations but is highly sensitive to the thermal conductivity of the...
master thesis 2024
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Groeneboom, P. (author)
We analyze nonparametric estimators for the distribution function of the incubation time in the singly and doubly interval censoring model. The classical approach is to use parametric families like Weibull, log-normal or gamma distributions in the estimation procedure. We propose nonparametric estimates for functions of the observations,...
journal article 2024
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Rocchetta, Roberto (author), Zhan, Zhouzhao (author), van Driel, W.D. (author), Di Bucchianico, Alessandro (author)
Lifetime analyses are crucial for ensuring the durability of new Light-emitting Diodes (LEDs) and uncertainty quantification (UQ) is necessary to quantify a lack of usable failure and degradation data. This work presents a new framework for predicting the lifetime of LEDs in terms of lumen maintenance, effectively quantifying the natural...
journal article 2024
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Anker, Thomas (author)
Post-mortem interval estimation (PMI) is a key part of forensic investigation. Accurately obtaining a PMI early in the investigative process improves the reconstruction of events, directs follow-up research and narrows down suspects in case of homicide. Currently, PMI is determined using Henssge’s nomogram requiring ambient temperature, rectal...
master thesis 2023
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Geul, J. (author)
The goal of the research is to improve space situational awareness (SSA) for space debris objects, and to make space operations more sustainable and remain possible in the future. Vital to this awareness is understanding which objects are present, through space surveillance and tracking (SST), and where these objects will be in the future,...
doctoral thesis 2023
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Morales, Raúl (author), Marín, Luis G. (author), Roje, Tomislav (author), Caquilpan, Víctor (author), Sáez, Doris (author), Nunez, Alfredo (author)
Microgrids (MGs) are sustainable solutions for rural zone electrification that use local renewable resources. However, only careful planning at the start of an MG project can ensure its future optimal operation. In this paper, a novel methodology for MG planning by using the uncertainty characterization of renewable resources and demand is...
journal article 2023
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Koorevaar, Loek (author)
The problem of calibrating time-inhomogeneous exponential Lévy models with finite jump activity based on market prices of plain vanilla options is studied. Belomestny and Reiß introduced an estimation procedure for calibration in the homogeneous case with one maturity. The open-ended question that will be addressed is if we can extend this model...
master thesis 2022
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Vis, Simone (author)
Money laundering is an increasing problem for the global economy. To combat money laundering, banks use transaction monitoring models with particular thresholds to detect unusual transaction behaviour. However, it is a challenge to determine and evaluate the suitability of a threshold level to ensure that the risk of misclassification of...
master thesis 2022
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Sośnierz, Zofia (author)
“The music is not in the notes, but in the silence between.” Wolfgang Amadeus Mozart<br/><br/>With this short statement, the famous composer Wolfgang Amadeus Mozart aptly captures the essence of the Interval spaces that this thesis was defining. Those are left-over or side-effect spaces, which have many programs but are not programmed. They...
master thesis 2022
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Kaanen, Charlotte (author)
Each year, many people die due to non-natural causes of death, such as accidents, suicide, and murder and manslaughter. In these cases it is often necessary to investigate the cause, manner and time of death, which are investigated by forensic pathologists and the Police. To determine the time of death, the post mortem interval (PMI), the time...
master thesis 2022
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Easa, Said (author), Raju, Narayana (author), Arkatkar, Shriniwas (author)
Currently, the dilemma and option zones’ failures are independently used to analyze the intergreen interval at signalized intersections. Therefore, the present research work is initiated to integrate these failures. First, the dilemma and option zones are modelled using the first-order second-moment method. Then, game theory is used to model the...
journal article 2022
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Chen, Y. (author), Chang, Z. (author), He, S. (author), Copuroglu, Oguzhan (author), Šavija, B. (author), Schlangen, E. (author)
A good bond between the layers of 3D printed cementitious materials is a prerequisite for having high structural rigidity for the printed elements. However, the influence of printing process on an interlayer bond is still not well understood. This study investigates the influence of curing methods (i.e., air curing, plastic film covering, wet...
journal article 2022
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Huang, Yilin (author), Xie, Xu (author), Cho, Yubin (author), Verbraeck, A. (author)
Data assimilation (DA) is a methodology widely used by different disciplines of science and engineering. It is typically applied to continuous systems with numerical models. The application of DA to discrete-event and discrete-time systems including agent-based models is relatively new. Because of its non-linearity and non-Gaussianity, the...
journal article 2022
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Sofi, Alba (author), Giunta, F. (author), Muscolino, Giuseppe (author)
The present study focuses on reliability analysis of linear discretized structures with uncertain mass and stiffness parameters subjected to stationary Gaussian multi-correlated random excitation. Under the assumption that available information on the uncertain parameters is poor or incomplete, the interval model of uncertainty is adopted....
journal article 2022
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Phusakulkajorn, W. (author), Hendriks, J.M. (author), Moraal, J. (author), Dollevoet, R.P.B.J. (author), Li, Z. (author), Nunez, Alfredo (author)
In this paper, a fuzzy interval-based method is proposed for solving the problem of rail defect detection relying on an on-board measurement system and a multiple spiking neural network architecture. Instead of outputting binary values (defect or not defect), all data will belong to both classes with different spreads that are given by two fuzzy...
conference paper 2022
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Chen, P. (author), Buis, K. (author), Zhao, Xiujie (author)
The gamma distribution is one of the most important parametric models in probability theory and statistics. Although a multitude of studies have theoretically investigated the properties of the gamma distribution in the literature, there is still a serious lack of tailored statistical tools to facilitate its practical applications. To fill...
journal article 2022
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Adams, S.J.L. (author), Lahijanian, Morteza (author), Laurenti, L. (author)
Neural networks (NNs) are emerging as powerful tools to represent the dynamics of control systems with complicated physics or black-box components. Due to complexity of NNs, however, existing methods are unable to synthesize complex behaviors with guarantees for NN dynamic models (NNDMs). This letter introduces a control synthesis framework for...
journal article 2022
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van Beers, Jasper (author)
As research endeavours and commercial applications demand more of the quadrotor, it is only natural to develop models which can facilitate this. Currently, analytical descriptions of the quadrotor are rudimentary and most data-driven quadrotor models are identified from flight data collected indoors. Therefore, existing quadrotor models are...
master thesis 2021
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Alonso Diaz, Miguel (author)
Rain erosion of leading edges in wind turbines caused by high-velocity droplet impacts is one of the current problems in wind energy that affects their energy production and maintenance costs. The most widespread solution for this problem is the application of viscoelastic coatings (generally, polyurethane) along the leading edge of the wind...
master thesis 2021
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