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See detailPractical error bounds in energy norm based on a recovered displacement field
Nadal, E.; González-Estrada, O. A.; Ródenas, J. J. et al

in Pimienta, P M (Ed.) 10th World Congress on Computational Mechanics (WCCM 2012) (2012)

Detailed reference viewed: 230 (2 UL)
Peer Reviewed
See detailPrediction of nocturnal hypoglycemia by an aggregation of previously known prediction approaches: proof of concept for clinical application
Tkachenko, Pavlo; Kriukova, Galyna; Aleksandrova, Marharyta UL et al

in Computer Methods & Programs in Biomedicine (2016), 134

Detailed reference viewed: 87 (1 UL)
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See detailPreface
Lausen, Berthold; Krolak-Schwerdt, Sabine UL; Böhmer, Matthias UL

in Lausen, Berthold; Krolak-Schwerdt, Sabine; Böhmer, Matthias (Eds.) Data Science, Learning by Latent Structures, and Knowledge Discovery (2015)

Detailed reference viewed: 48 (4 UL)
See detailPresentation of work in social network analysis
During, Marten UL

Presentation (2018)

Detailed reference viewed: 35 (1 UL)
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See detailPrimary energy used in centralized and decentralized ventilation systems measured in field tests in residential buildings
Merzkirch, Alexander UL; Maas, Stefan UL; Scholzen, Frank UL et al

in Proceedings of the 26th AIVC Conference, Effective Ventilation in high performance buildings (2015, September)

Ventilation systems can save heat energy by using heat recovery, but consume electrical energy to power the fans. In practice, the energy efficiency of those systems can be lower than expected, when ... [more ▼]

Ventilation systems can save heat energy by using heat recovery, but consume electrical energy to power the fans. In practice, the energy efficiency of those systems can be lower than expected, when compared to the nominal values provided by the manufacturer. In this paper, results of a comprehensive field tests with 20 centralized and 60 decentralized ventilation systems for residential buildings and the calculation of the primary energy savings of those devices are presented. Factors like volume flow unbalances, shortcuts, temperature change rates and specific fan power have been addressed by tracer gas technology and other means and been used as input factors to calculate the primary energy balance of those devices. Every system showed positive primary energy savings. The mean value for centralized systems was 2.92 Wh/m3 with a high standard deviation of 2.23 Wh/m3, while the decentralized systems showed higher savings of around 4.75 Wh/m3 with a standard deviation of 0.01 to 0.15 Wh/m3. In general, the calculated savings in field tests were significantly lower compared to the case of using nominal values as input parameters. [less ▲]

Detailed reference viewed: 153 (25 UL)
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See detailPrinciples of Persuasion in Social Engineering and Their Use in Phishing
Ferreira, Ana UL; Lenzini, Gabriele UL; Conventry, Lynne

in T. Tryfonas, I. Askoxylakis (Ed.) Human Aspects of Information Security, Privacy, and Trust Third International Conference, HAS 2015 (2015)

Research on marketing and deception has identified principles of persuasion that in influence human decisions. However, this research is scattered: it focuses on specific contexts and produces different ... [more ▼]

Research on marketing and deception has identified principles of persuasion that in influence human decisions. However, this research is scattered: it focuses on specific contexts and produces different taxonomies. In regard to frauds and scams, three taxonomies are often referred in the literature: Cialdini's principles of influence, Gragg's psychological triggers, and Stajano et al. principles of scams. It is unclear whether these relate but clearly some of their principles seem overlapping whereas others look complementary. We propose a way to connect those principles and present a merged and reviewed list for them. Then, we analyse various phishing emails and show that our principles are used therein in specific combinations. Our analysis of phishing is based on peer review and further research is needed to make it automatic, but the approach we follow, together with principles we propose, can be applied more consistently and more comprehensively than the original taxonomies. [less ▲]

Detailed reference viewed: 314 (13 UL)
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See detailProbabilistic modeling natural way to treat data
Rappel, Hussein UL

Presentation (2019, February 12)

Detailed reference viewed: 48 (5 UL)
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See detailProbabilistic multiconstraints optimization of cooling channels in ceramic matrix composites
Ghasemi, Hamid; Kerfriden, Pierre; Bordas, Stéphane UL et al

in Composites : Part B, Engineering (2015), 81

This paper presents a computational reliable optimization approach for internal cooling channels in Ceramic Matrix Composite (CMC) under thermal and mechanical loadings. The algorithm finds the optimal ... [more ▼]

This paper presents a computational reliable optimization approach for internal cooling channels in Ceramic Matrix Composite (CMC) under thermal and mechanical loadings. The algorithm finds the optimal cooling capacity of all channels (which directly minimizes the amount of coolant needed). In the first step, available uncertainties in the constituent material properties, the applied mechanical load, the heat flux and the heat convection coefficient are considered. Using the Reliability Based Design Optimization (RBDO) approach, the probabilistic constraints ensure the failure due to excessive temperature and deflection will not happen. The deterministic constraints restrict the capacity of any arbitrary cooling channel between two extreme limits. A “series system” reliability concept is adopted as a union of mechanical and thermal failure subsets. Having the results of the first step for CMC with uniformly distributed carbon (C-) fibers, the algorithm presents the optimal layout for distribution of the C-fibers inside the ceramic matrix in order to enhance the target reliability of the component. A sequential approach and B-spline finite elements have overcome the cumbersome computational burden. Numerical results demonstrate that if the mechanical loading dominates the thermal loading, C-fibers distribution can play a considerable role towards increasing the reliability of the design. [less ▲]

Detailed reference viewed: 72 (2 UL)
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See detailProceedings of the 2014 Workshop on Socio-Technical Aspects in Security and Trust, STAST 2014
Bella, Giampaolo; Lenzini, Gabriele UL

Scientific Conference (2014)

Detailed reference viewed: 37 (0 UL)
See detailProceedings of the BIVEC-GIBET Transport Research Days 2013
Hesse, Markus UL; Caruso, Geoffrey UL; Gerber, Philippe et al

Book published by University Press (2013)

Detailed reference viewed: 325 (19 UL)
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See detailProcess Reference Model "IT Grundschutz"
Asselborn, Jean-Claude; Dagorn, Nathalie; Niederkorn, Philippe et al

Report (2006)

Detailed reference viewed: 38 (0 UL)
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See detailProcess Reference Model "Mehari"
Asselborn, Jean-Claude; Dagorn, Nathalie; Niederkorn, Philippe et al

Report (2006)

Detailed reference viewed: 48 (0 UL)
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See detailProgramming the material point method in Julia
Sinaie, Sina; Nguyen, Viet Ha UL; Nguyen, Chi Thanh et al

in Advances in Engineering Software (2017), 105

This article presents the implementation of the material point method (MPM) using Julia. Julia is an open source, multi-platform, high-level, high-performance dynamic programming language for technical ... [more ▼]

This article presents the implementation of the material point method (MPM) using Julia. Julia is an open source, multi-platform, high-level, high-performance dynamic programming language for technical computing, with syntax that is familiar to Matlab and Python programmers. MPM is a hybrid particle-grid approach that combines the advantages of Eulerian and Lagrangian methods and is suitable for complex solid mechanics problems involving contact, impact and large deformations. We will show that a Julia based MPM code, which is short, compact and readable and uses only Julia built in features, performs much better (with speed up of up to 8) than a similar Matlab based MPM code for large strain solid mechanics simulations. We share our experiences of implementing MPM in Julia and demonstrate that Julia is a very interesting platform for rapid development in the field of scientific computing. [less ▲]

Detailed reference viewed: 108 (2 UL)
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See detailProject Advanced Discretisaztion Methods
Farina, Sofia UL

Presentation (2019, February 01)

Detailed reference viewed: 80 (17 UL)
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See detailProjection-based reduction of fluid-structure interaction systems using monolithic space-time modes
Zilian, Andreas UL; Dinkler, D.; Vehre, A.

in Computer Methods in Applied Mechanics & Engineering (2009), 198(47-48), 3795-3805

The focus of this work is the development of reduced models for engineering applications in complex bidirectional fluid-structure interaction. In the simultaneous solution procedure, velocity variables ... [more ▼]

The focus of this work is the development of reduced models for engineering applications in complex bidirectional fluid-structure interaction. In the simultaneous solution procedure, velocity variables are used for both fluid and solid, and the whole set of model equations is discretized by a stabilized time-discontinuous space-time finite element method. Flexible structures are modeled using a three-dimensional continuum approach in a total Lagrangian setting considering large displacements and rotations. In the flow domain the incompressible Navier-Stokes equations describe the Newtonian fluid. A continuous finite element mesh is applied to the entire spatial domain, and the discretized model equations are assembled in a single set of algebraic equations, considering the two-field problem as a whole. The continuous fluid-structure mesh with identical orders of approximation for both solid and fluid in space and time automatically yields conservation of mass, momentum and energy at the fluid-structure interface. A mesh-moving scheme is used to adapt the nodal coordinates of the fluid space-time finite element mesh to the structural deformation. The computational approach for strongly coupled fluid-structure interaction is used to create suitable reduced models of generic nonlinear problems. Reduction is performed with monolithic projection-based space-time modes, ensuring strong coupling of fluid and structure in the reduced model. The contribution discusses results using proper orthogonal decomposition (POD) for determination of monolithic space-time modes in the reduction of fluid-structure systems. © 2009 Elsevier B.V. All rights reserved. [less ▲]

Detailed reference viewed: 102 (3 UL)
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See detailThe provision of urban green space and its accessibility: Spatial data effects in Brussels
Le Texier, Marion UL; Schiel, Kerry UL; Caruso, Geoffrey UL

in PLoS ONE (2018), 13(10), 0204684

Urban green space (UGS) has many environmental and social benefits. UGS provision and access are increasingly considered in urban policies and must rely on data and indicators that can capture variations ... [more ▼]

Urban green space (UGS) has many environmental and social benefits. UGS provision and access are increasingly considered in urban policies and must rely on data and indicators that can capture variations in the distribution of UGS within cities. There is no consensus about how UGS, and their provision and access, must be defined from different land use data types. Here we identify four spatial dimensions of UGS and critically examine how different data sources affect these dimensions and our understanding of their variation within a city region (Brussels). We compare UGS indicators measured from an imagery source (NDVI from Landsat), an official cadastre-based map, and the voluntary geographical information provided by OpenStreetMap (OSM). We compare aggregate values of provision and access to UGS as well as their spatial distribution along a centrality gradient and at neighbourhood scale. We find that there are strong differences in the value of indicators when using the different datasets, especially due to their ability to capture private and public green space. However we find that the interpretation of intra-urban spatial variations is not affected by changes in data source. Centrality in particular is a strong determinant of the relative values of UGS availability, fragmentation and accessibility, irrespective of datasets. [less ▲]

Detailed reference viewed: 76 (5 UL)
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See detailPublic Transport in the Era of ITS: ITS Technologies for Public Transport
Monzon, Andres; Hernandez, Sara; Martinez, Andres et al

in Gentile, Guido; Klaus, Noekel (Eds.) Public Transport in the Era of ITS (2016)

Detailed reference viewed: 102 (7 UL)
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See detailPublic Transport in the Era of ITS: The Role of Public Transport in Sustainable Cities and Regions
Rosello, Xavier; Langeland, Anders; Viti, Francesco UL

in Public Transport in the Era of ITS (2016)

Detailed reference viewed: 101 (5 UL)