88 research outputs found
A relaxation theorem in the space of functions of bounded deformation
No full textWe obtain an integral representation for the relaxation, in the space of functions of bounded deformation, of an energy satifying certain growth and coercivity conditions
CCDC 1818714: Experimental Crystal Structure Determination
No full textCIBKUW : catena-[oxonium pentakis(μ-cyano)-bis(μ-pyrazine-2,3-dicarboxylato)-heptaaqua-tris(cyano)-(methanol)-di-neodymium-potassium-tungsten tetrahydrate] Space Group: C 2/c (15), Cell: a 27.0729(11)Å b 17.4291(7)Å c 15.4120(7)Å, α 90° β 96.264(2)° γ 90° Related Article: Yuan Gao, Marta Viciano-Chumillas, Ana Maria Toader, Simon J. Teat, Marilena Ferbinteanu, Stefania Tanase|2018|Inorg.Chem.Front.|5|1967|doi:10.1039/C8QI00357B,An entry from the Cambridge Structural Database, the world’s repository for small molecule crystal structures. The entry contains experimental data from a crystal diffraction study. The deposited dataset for this entry is freely available from the CCDC and typically includes 3D coordinates, cell parameters, space group, experimental conditions and quality measures.
Depth Light Field Training (DeLFT): NeRF as a rendering primitive
No full textNeural radiance fields (NeRF) based solutions for novel view synthesis can achieve state of the art results. Recent work proposes models that take less time to render, need less training data or take up less space. However, few papers explore the use of NeRFs in classic rendering scenarios such as rasterization, which could contribute to wider adoption. Our paper tackles the issue of shadow generation and proposes a deep residual MLP network with fast evaluation times, that generates view-dependent shadow maps. The network distills the knowledge of an existing NeRF model and achieves the speedup through the use of neural light fields, by only doing one network forward per ray.CSE3000 Research ProjectComputer Science and Engineerin
Machine-Learning for Optimal Fitness Function Selection in Automated Testing
No full textThe perpetual desire for more qualitative software has been an excellent incentive for software engineers to create automated tools to ease and improve the process of software testing. EvoSuite is an example of a state-of-the-art tool that synthesises test cases automatically. It uses a genetic algorithm to produce test cases based on given search targets. Previous studies have analysed the performance of single or combinations of targets but have not yet explored the differences between various combinations. In this research, we compare the Weak Mutation + Branch setting to Branch and the Default (combination of eight separate targets) of EvoSuite. We aim to provide insightful information about their differences in branch coverage and mutation scores. Moreover, we discuss machine-learning models that can predict which combination has the highest score (i.e., branch coverage, mutation score) based on characteristics of the tested classes, such as the number of lines of code. Our results highlight that the Weak Mutation + Branch combination outperforms Branch for the mutation score metric and Default for the branch coverage metric. They also show that Weak Mutation + Branch is outperformed by the branch criterion for Branch Coverage and by the Default combination for mutation score. Our findings also cover the performance of the models, having concluded that the Random Forest and Decision Tree classifiers produce the best results and are feasible options for predicting the best combinations from the ones analysed. Finally, static code metrics such as 'wmc', 'loc', and 'mathOperationsOty' often appear as relevant features for our models. We visualise how they influence the most suitable combination of criteria through our Decision Trees.CSE3000 Research ProjectComputer Science and Engineerin
A possible slow-slip-event in the Vrancea seismic active region of Romania
No full textIn the last 300 years the window of time for two consecutive large and destructive intermediate-depth earthquakes in Vrancea (Romania) was between 36 and 102 years. An explanation for the larger window of time might be a release of stress produced by a slow-slip-event (SSE). In a vertical sinking slab slightly attached from the Earth’s crust both large earthquakes and SSE are expected to generate a downward movement in the vertical displacements of GPS data. The building-up of stress in the asperity preventing a steady aseismic sinking was expected to be transmitted upwards to faults in the crust and recorded based on a magnetotelluric phase splitting effect. A large stress build-up has been suggested around a fault in the years 2012–2013, but no large earthquake was recorded. We supposed a large SSE in the year 2013–2014 with a duration of 13 months released the accumulated stress. GPS stations in the epicentral region of Vrancea seismic active region supported our suggestion by showing a downward displacement of vertical data obtained for the year 2014. However, the vertical displacements are small and other possible causes than SSE need to be taken into account.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Astrodynamics & Space Mission
Studies on the composition and quality of some biodynamic and organic wines produced in Romania
No full textStudies on the composition and quality of some biodynamic and organic wines produced in Romania
No full textReview of ”Brand-urile în era Web 2.0. Conținutul generat de consumatori” [Web 2.0 Brands. User-generated Content] by Rodica Săvulescu, Bucharest: Tritonic, 2016, 252 pages
No full textThe web 2.0 era has shifted brand ownership from communication specialists towards consumers. This is the main idea on which Rodica Săvulescu builds her argumentation in her recently published book, Web 2.0 Brands. User-generated content (2016). The emergence of new technologies blurs the lines between content producers and consumers. In this book, the author addresses the topic of democratization of content in relation with brand communication
Insights Into Molecular Interaction of Antitumor Drug Mitoxantrone With Anionic Surfactant Sodium Dodecyl Sulfate at Different Temperatures
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