Searched for: subject%3A%22time%255C+series%255C+analysis%22
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Averbuch, G. (author), Ben-Horin, Yochai (author), Smets, P.S.M. (author), Evers, L.G. (author)
Measurements of seismo-acoustic events by collocated seismic and infrasound arrays allow for studying the two wavefields that were produced by the same event. However, some of the scientific and technical constraints on the building of the two technologies are different and may be contradicting. For the case of a new station, an optimal design...
journal article 2019
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Delfos, Jeroen (author)
In this report an analysis is presented on the impacts of weather codes on travel behavior. Loop detector data of seven segments in different provinces in the Netherlands are analyzed with regression models with autoregressive errors. Weather codes were found to be significantly influencing travel demand. Particularly codes orange for...
master thesis 2018
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Qin, Xiaoqiong (author), Zhang, Lu (author), Yang, M. (author), Luo, Heng (author), Liao, Mingsheng (author), Ding, Xiaoli (author)
Arch bridges are important transportation infrastructures widely distributed in China, but they are prone to structural defects due to aging without routine inspection and maintenance. Therefore, Structural Health Monitoring (SHM) of these bridges is urgently needed by civil engineers to effectively reduce the risk of bridge damage or...
journal article 2018
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van der Vlist, Rik (author)
A phase estimation algorithm is presented to estimate the phase of a recurring pattern in a nonstationary signal. The signal is modelled by a template signal that represents one revolution of the recurring pattern, and that the frequency of this pattern can change at any time with no assumptions about local stationarity. The algorithm uses a...
master thesis 2018
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Evers, L.G. (author), Assink, J. D. (author), Smets, P.S.M. (author)
Supersonic rockets generate low-frequency acoustic waves, that is, infrasound, during the launch and re-entry. Infrasound is routinely observed at infrasound arrays from the International Monitoring System, in place for the verification of the Comprehensive Nuclear-Test-Ban Treaty. Association and source identification are key elements of the...
journal article 2018
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Gelder, Elise (author)
The order picking process is done item by item, and therefore it is a labour-intensive process. According to Dukic & Oluic (2005), 50% of the total order picking time is spent on unproductive traveling. The operations that need to be performed in warehouses are highly dependent on the customer demand. The customer demand shows seasonal...
master thesis 2018
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Shang, H. (author)
The observation of surface water bodies in all weather conditions and better knowledge about inundation patterns are important for water resource management and flood early warning. Microwave radiometers at 37 GHz were applied to observe and study the inundation pattern in large subtropical floodplains in China, i.e. the Poyang Lake and Dongting...
doctoral thesis 2017
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de Rooij, Tim (author)
Time-frequency analysis and digital signal processing are important tools in the field of coastal engineering. Both can be done using techniques like Fourier or wavelet analysis, however, analysts from this field experience a threshold to use wavelet analysis instead of their current methods, often Fourier-based. This is due to the lack of...
master thesis 2017
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van der Spek, J.E. (author), Bakker, M. (author)
The influence of the length of the calibration period and observation frequency on the predictive uncertainty in time series modeling of groundwater dynamics is investigated. Studied series are from deltaic regions with predominantly shallow groundwater tables in a temperate maritime climate where heads vary due to precipitation and...
journal article 2017
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Papathanasiou, M. (author)
The problem owner of the present study is a consulting company that provides simulation-based workforce planning advice to a big manufacturing firm XYZ. The latter pertains the number of engineers of various skill levels that are needed for the repair of health care equipment in hospitals of a large country. The prediction of machine failures ...
master thesis 2016
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Nemati, M. (author), Kenjeres, S. (author), Urbach, Paul (author), Bhattacharya, N. (author)
The scattering of coherent light from a system with underlying flow can be used to yield essential information about dynamics of the process. In the case of pulsatile flow, there is a rapid change in the properties of the speckle images. This can be studied using the standard laser speckle contrast and also the fractality of images. In this...
journal article 2016
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Collenteur, R.A. (author)
The objective of this study is to improve the simulation of deep groundwater levels by time se- ries models with pre-defined impulse response functions. This is attempted by adding a conceptual non-linear root zone model to simulate the recharge series to the model and by testing the use of a separate response function for the percolation zone....
master thesis 2016
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Obergfell, C.C.A. (author), Bakker, M. (author), Maas, Kees (author)
The flood-wave method is implemented within the framework of time-series analysis to estimate aquifer parameters for use in a groundwater model. The resulting extended flood-wave method is applicable to situations where groundwater fluctuations are affected significantly by time-varying precipitation and evaporation. Response functions for time...
journal article 2016
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Van Tol, P.J.M. (author)
A couple of topics on calculating the required capital of an insurance company are covered in this thesis. We derive a new method in order to compare correlation matrices of aggregation methods consisting of one- or two-levels. Different from earlier time series analysis, we show that a prediction for the one-year correlation can be made with...
master thesis 2013
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Ooms, J.C. (author)
This thesis investigates methods to assess stationarity in a given time series. It is assumed that such a time series is generated by one of the autoregressive and moving average models, with optional deterministic and/or stochastic trends. The problem subjected here, will be to characterize if this stochastic process is stationary or non...
bachelor thesis 2012
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Veling, E.J.M. (author), Maas, C. (author)
In this paper we comment on some recent numerical and analytical work to evaluate the Hantush Well Function. We correct an expression found in a Comment by Nadarajah (J. of Hydrology, vol. 338, p. 152-153 (2007)) to a paper by Prodanoff et al. (J. of Hydrology, vol. 318, p. 173-183 (2006)). We subsequently derived another analytic representation...
journal article 2010
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Broersen, P.M.T. (author)
Vector time series analysis takes the same model order and model type for the different signals involved. Selection criteria have been developed to select the best order to simultaneously predict the different components of the vector. The prediction of single channels might require a different order or type for the best accuracy of each...
journal article 2009
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Broersen, P.M.T. (author)
The Yule-Walker (YW) method for autoregressive (AR) estimation uses lagged-product (LP) autocorrelation estimates to compute an AR parametric spectral model. The LP estimates only have a small triangular bias in the estimated autocorrelation function and are asymptotically unbiased. However, using them in finite samples with the YW method for AR...
journal article 2009
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Den Dekker, A.J. (author), Poot, D.H.J. (author), Bos, R. (author), Sijbers, J. (author)
Functional magnetic resonance imaging (fMRI) data that are corrupted by temporally colored noise are generally preprocessed (i.e., prewhitened or precolored) prior to functional activation detection. In this paper, we propose likelihood-based hypothesis tests that account for colored noise directly within the framework of functional activation...
journal article 2009
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Lichtenauer, J.F. (author), Hendriks, E.A (author), Reinders, M.J.T. (author)
To recognize speech, handwriting, or sign language, many hybrid approaches have been proposed that combine Dynamic Time Warping (DTW) or Hidden Markov Models (HMMs) with discriminative classifiers. However, all methods rely directly on the likelihood models of DTW/HMM. We hypothesize that time warping and classification should be separated...
journal article 2008
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