Searched for: subject%3A%22principal%255C%2Bcomponent%255C%2Banalysis%22
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Barbero García, I. (author), Kuschnerus, M. (author), Vos, S.E. (author), Lindenbergh, R.C. (author)
Sandy beaches are subject to changes due to multiple factors, that are both natural (e.g. storms) and anthropogenic. Great efforts are being made to monitor these ecosystems and understand their dynamics in order to assure their conservation. The identification of anthropogenic changes and its differentiation from natural ones is an important...
journal article 2023
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Frantzen, Paco (author)
Global climate change affects mountain regions such as the European Alps. Consequently, glacier extents decrease, and proglacial areas, the areas that recently lost their ice cover, increase in size. These proglacial areas are subject to a high frequency and magnitude of geomorphological activity and act as a sediment source for downstream...
master thesis 2022
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Savelberg, Lotte (author)
Global climate change has results in a higher frequency of extreme disaster events and is therefore a serious challenge in disaster impact management. Disaster risk is composed of several components, such as vulnerability, susceptibility, exposure and the probability of occurence and intensity of a hazard. Vulnerability has become a topical...
master thesis 2022
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Willard, Tijmen (author)
The water quality of the Brantas river in Indonesia is of concern to several agencies on East Java. These agencies all measure its water quality in their own way in terms of locations, rhythms and parameters. The goal of this thesis is to find out if these agencies measure the same and if not, how these measurements differ. From these...
master thesis 2022
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Hoogervorst, Chris (author)
This thesis analyses the importance and application of considering multiple coexisting wave trains in sediment transport predictions.<br/><br/>The wave trains at offshore and nearshore locations are analyzed by wave spectral partitions (Portilla at el., 2009). The temporal variability of consistently occurring wave trains can be analyzed through...
master thesis 2022
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Mohamed, Ahmed (author), Asmoay, Ahmed (author), Alshehri, Fahad (author), Abdelrady, Ahmed (author), Othman, Abdullah (author)
Thirty groundwater samples were taken from Assiut’s northern outskirts. The physicochemical properties of these samples were investigated. For the evaluation of water–rock interaction, the saturation index (SI), chloro-alkaline indices (CAI1 and CAI2), Gibbs ratios for cations and anions (GC and GA), principal component analysis (PCA), and...
journal article 2022
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Salinas Rodriquez, Sergio (author), van de Giesen, N.C. (author), McClain, M.E. (author)
Environmental flow (eflow) reference values play a key role in environmental water science and practice. In Mexico, eflow assessments are set by a norm in which the frequency of occurrence is the managing factor to integrate inter-annual and seasonal flow variability components into environmental water reserves. However, the frequency parameters...
journal article 2022
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Chang, C. (author), Di Maio, F. (author), Rem, P.C. (author), Gebremariam, A.T. (author), Mehari, Fanuel (author), Xia, Han (author)
To upcycle End-of-Life (EoL) concrete from demolished buildings, it is essential to efficiently identify the different materials that may contaminate it. The precise identification and classification of materials and contaminants are vital processes for in-line quality inspection of recycled concrete aggregates transported on a conveyor belt....
journal article 2022
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Lee, Chia-Fu (author)
Hand pose tracking in 3D configuration is one of the popular components of human-computer interaction research, which can be seen applying in virtual reality (VR) and augmented reality (AR). Although the research field has been thoroughly studied in the past few decades, most methods emphasized recognizing hand gestures or joint locations....
master thesis 2021
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Goto, L. (author), Lee, Wonsup (author), Huysmans, T. (author), Molenbroek, J.F.M. (author), Goossens, R.H.M. (author)
The use of 3D anthropometric data of children’s heads and faces has great potential in the development of protective gear and medical products that need to provide a close fit in order to function well. Given the lack of detailed data of this kind, the aim of this study is to map the size and shape variation of Dutch children’s heads and...
journal article 2021
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Chen, Xiaoyan (author), He, Qinghua (author), Zhang, Xinyue (author), Cao, Tingting (author), Liu, Y. (author)
Collaborative innovation has become an innovation paradigm to improve innovation performance and firms’ economic output. However, there is relatively little research investigating stakeholders’ drivers for engaging in collaborative innovation and the relative importance of drivers in infrastructure megaprojects. This research aims to address...
journal article 2021
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Xu, Shichang (author), Cheng, Gang (author), Pang, Y. (author), Jin, Zujin (author), Kang, Bin (author)
Real-time and accurate longitudinal rip detection of a conveyor belt is crucial for the safety and efficiency of an industrial haulage system. However, the existing longitudinal detection methods possess drawbacks, often resulting in false alarms caused by tiny scratches on the belt surface. A method of identifying the longitudinal rip through...
journal article 2021
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Van Houtte, Jeroen (author), Vandenberghe, Filip (author), Zheng, Guoyan (author), Huysmans, T. (author), Sijbers, Jan (author)
Most digital models of the equine distal limb that are available in the community are static and/or subject specific; hence, they have limited applications in veterinary research. In this paper, we present an articulatable model of the entire equine distal limb based on statistical shape modeling. The model describes the inter-subject...
journal article 2021
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Wan, Z. (author), Xu, Y. (author), Šavija, B. (author)
Compressive strength is the most significant metric to evaluate the mechanical properties of concrete. Machine learning (ML) methods have shown promising results for predicting compres-sive strength of concrete. However, at present, no in-depth studies have been devoted to the influence of dimensionality reduction on the performance of...
journal article 2021
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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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Meinders, Evy (author), Booij, Marjolein J. (author), van den Noort, Josien C. (author), Harlaar, J. (author)
Background: Walking speed is a confounding factor in biomechanical analyses of gait, but still many studies compare gait biomechanics at comfortable walking speed (CWS) that is likely to differ between groups or conditions. To identify gait deviation unrelated to walking speed, methods are needed to correct biomechanical data over the gait...
journal article 2021
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Wu, P. (author), Ferrari, Riccardo M.G. (author), Liu, Y. (author), van Wingerden, J.W. (author)
Incipient fault detection plays a crucial role in preventing the occurrence of serious faults or failures in industrial processes. In most industrial processes, linear, and nonlinear relationships coexist. To improve fault detection performance, both linear and nonlinear features should be considered simultaneously. In this article, a novel...
journal article 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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Ling, Chenyang (author)
Nowadays, video surveillance and motion detection system are widely used in various environments. With the relatively low-price cameras and highly automated monitoring system, video and image analysis on road, highway and skies becomes realistic. The key process in the analysis is to separate the useful information such as moving foreground...
master thesis 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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