47,084 Works

Drivers vs. Inhibitors - What Clinches Continuous Service Certification Adoption by Cloud Service Providers?

Heiner Teigeler, Sebastian Lins & Ali Sunyaev
Continuous service certification (CSC) is an innovative way to ensure ongoing security and reliability of cloud services by using (automated) monitoring and auditing techniques. Yet, CSC currently remains underexplored and is still in its early diffusion period, thus we require a deeper understanding about what influences cloud service providers to participate in CSC. In particular, cloud service providers are facing a trade-off between achieving unique advantages and participating in a complex and effortful CSC process....

Formation and output of collaborations: the role of proximity in German nanotechnology

Claudia Werker, Vladimir Korzinov & Scott Cunningham

05: Maschinelles Lernen 2 - Fortgeschrittene Verfahren, Vorlesung, SS 2019, 17.05.2019

Das Themenfeld Maschinelle Intelligenz und speziell Maschinelles Lernen unter Berücksichtigung realer Herausforderungen komplexer Anwendungsdomänen ist ein stark expandierendes Wissensgebiet und Gegenstand zahlreicher Forschungs- und Entwicklungsvorhaben. Die Vorlesung behandelt erweiterte Methoden des Maschinellen Lernens wie semi-überwachtes und aktives Lernen, tiefe Neuronale Netze (deep learning), gepulste Netze, hierarchische Ansätze z.B. beim Reinforcement Learning sowie dynamische, probabilistisch relationale Methoden. Ein weiterer Schwerpunkt liegt in der Einbettung und Anwendung von maschinell lernenden Verfahren in realen Systemen.

Basic Geophysics - Tunnel Seismics

What lies behind the face - how does one look into the rock before it is drilled? Source and receiver positions in preliminary seismic prediction ahead, paths of tunnel surface waves.

Basic Geophysics - Full Waveform Inversion

Can seismics detect 300-year-old defences? Function and technical implementation of the Full Waveform Inversion, use of the complete seismic amplitude and phase information, sample data and evaluation of the Ettlinger line.

Basic Geophysics - Landseismics - Vibroseis

How can we find subsurface structures for geothermal exploitation with the help of vibroseis trucks? Operation principle and benefits of vibroseis measurements, generation of a sweep signal, processing by cross-correlation.

Basic Geophysics - Hammer Seismics

How are seismic waves stimulated using a sledgehammer? Measurement parameters and derived material properties in hammer seismics, instruments and function, structure of a measurement profile, application of the intercept time method.

Inclusive search for supersymmetry in pp collisions at $ \sqrt{s}=13 $ TeV using razor variables and boosted object identification in zero and one lepton final states

A. M. Sirunyan, A. Tumasyan, W. Adam, F. Ambrogi, E. Asilar, T. Bergauer, J. Brandstetter, M. Dragicevic, J. Erö, A. Escalante Del Valle, M. Flechl, R. Frühwirth, V. M. Ghete, J. Hrubec, M. Jeitler, N. Krammer, I. Krätschmer, D. Liko, T. Madlener, I. Mikulec, N. Rad, H. Rohringer, J. Schieck, R. Schöfbeck, M. Spanring … & N. Woods
An inclusive search for supersymmetry (SUSY) using the razor variables is performed using a data sample of proton-proton collisions corresponding to an integrated luminosity of 35.9 fb−1, collected with the CMS experiment in 2016 at a center-of-mass energy of s √ =13 s=13 TeV. The search looks for an excess of events with large transverse energy, large jet multiplicity, and large missing transverse momentum. The razor kinematic variables are sensitive to large mass differences between...

Registering hardness measurement of neutron-irradiated low-activation steels at high temperatures

Alexander Valentin Brabänder, Julian Bredl, Hans-Christian Schneider & Marc Kamlah
This work shows an ongoing study of the influence of neutron irradiation on the hardness of first wall structure materials. EUROFER97 and boron-doped steels have been neutron-irradiated in the European High Flux Reactor (HFR) with an average dose of up to 16 dpa at temperatures between 250 and 450 °C. The irradiated samples are investigated by the advanced method of a registering hardness measurement that is used to perform experiments at temperatures of up to...

09: Höhere Mathematik II für die Fachrichtungen Maschinenbau, Geodäsie, Materialwissenschaft und Werkstofftechnik, Vorlesung, SS 2019, 27.05.2019

09 | 0:00:00 Start 0:00:36 Beispiel: Determinante 0:08:23 2.4 Eigenwerte und Eigenvektoren 0:12:04 Definiton 2.26 (Eigenwerte und Eigenvektoren) 0:21:57 Definition und Satz 2.27 0:54:01 Satz 2.29 1:16:35 Lineare Algebra in Maple

Skill and added value of the MiKlip regional decadal prediction system for temperature over Europe

Hendrik Feldmann, Joaquim G. Pinto, Natalie Laube, Marianne Uhlig, Julia Moemken, Alexander Pasternack, Barbara Früh, Holger Pohlmann & Christoph Kottmeier
In recent years, several decadal prediction systems have been developed to provide multi-year predictions of the climate for the next 5–10 years. On the global scale, high decadal predictability has been identified for the North Atlantic sector, often extending over Europe. The first full regional hindcast ensemble, derived from dynamical downscaling, was produced within the German MiKlip project (‘decadal predictions’). The ensemble features annual starting dates from 1960 to 2017, with 10 decadal hindcasts per starting...

Hierarchical imaging of the dynamics during pulsed laser ablation in liquids

Stefan Reich
Mittels gepulster Laserablation in Flüssigkeiten (Pulsed Laser Ablation in Liquids, PLAL) ist es möglich, Nanopartikel (NP) herzustellen, die direkt in der Flüssigkeit dispergiert und nicht durch verbliebene Tenside oder Reaktanden verunreinigt sind. Nach der Laseranregung des Targets bildet sich eine millimetergroße Kavitationsblase, in der die NP verteilt und größtenteils gefangen sind. In dieser Arbeit werden die fundamentalen Prozesse während PLAL mit einer Reihe von komplementären Messtechniken und hierarchischer in situ Bildgebung untersucht. Die Laser-Materie-Wechselwirkung wird...

Novel Parallel Algorithms for Fast Multi-GPU-Based Generation of Massive Scale-Free Networks

M. Alam, K. S. Perumalla & P. Sanders
A novel parallel algorithm is presented for generating random scale-free networks using the preferential attachment model. The algorithm, named cuPPA, is custom-designed for “single instruction multiple data (SIMD)” style of parallel processing supported by modern processors such as graphical processing units (GPUs). To the best of our knowledge, our algorithm is the frst to exploit GPUs, and also the fastest implementation available today, to generate scale-free networks using the preferential attachment model. A detailed performance...

09: Algorithmen I, Vorlesung, SS 2019, 27.05.2019

09 | 0:00:00 Starten 0:00:24 Rückblick 0:06:17 Kollisionen 0:11:06 Analyse für zufällige Hash-Funktionen 0:21:54 Universelles Hashing 0:34:35 Beweis Theorem 0:42:08 Hashing mit linearer Suche(""linear probing"") 0:45:08 Der einfache Teil 0:51:03 Remove 1:01:36 Verketten vs. Lineare Suche 1:06:46 Kryptographische Hashfunktionen 1:10:29 Sotieren und Co 1:13:20 Lochkartensortierer 1:19:10 Einfache Sortieralgorithmen 1:21:52 Sentinels am Beispiel Sotieren durch Einfügen 1:24:47 Analyse

Measurement of the top quark mass in the all-jets final state at $\sqrt{s}=13\,\text {TeV} $ and combination with the lepton+jets channel

A. M. Sirunyan, A. Tumasyan, W. Adam, F. Ambrogi, E. Asilar, T. Bergauer, J. Brandstetter, M. Dragicevic, J. Erö, A. Escalante Del Valle, M. Flechl, R. Frühwirth, V. M. Ghete, J. Hrubec, M. Jeitler, N. Krammer, I. Krätschmer, D. Liko, T. Madlener, I. Mikulec, N. Rad, H. Rohringer, J. Schieck, R. Schöfbeck, M. Spanring … & N. Woods

Preface: Advances in post-processing and blending of deterministic and ensemble forecasts

S. Hemri, Sebastian Lerch, M. Taillardat, S. Vannitsem & D. S. Wilks
The special issue on advances in post-processing and blending of deterministic and ensemble forecasts is the outcome of several successful successive sessions organized at the General Assembly of the European Geosciences Union. Statistical post-processing and blending of forecasts are currently topics of important attention and development in many countries to produce optimal forecasts. Ten contributions have been received, covering key aspects of current concerns on statistical post-processing, namely the restoration of inter-variable dependences, the impact...

Die räumliche Dimension residenzieller Multilokalität, ein prädestiniertes thematisches Bindeglied zwischen Forschung und Lehre

Markus Kaltenbach

Progress in thermal management and safety of cells and packs by testing in battery calorimeters

Carlos Ziebert, Nils Uhlmann, Magnus Rohde & Hans Jürgen Seifert
With increasing energy density the safety and the thermal management of Li-ion batteries is becoming more and more important, because the thermal runaway can cause an ignition or even explosion of the battery with simultaneous release of toxic gases. In the last nine years we have established battery calorimetry as a powerful and versatile electrochemical-thermal characterization technique, which allows both advancements for the thermal management and the safety of batteries. With six adiabatic Accelerating Rate...

Severe thunderstorms with large hail across Germany in June 2019

Jannik Wilhelm, Susanna Mohr, Heinz Jürgen Punge, Bernhard Mühr, Manuel Schmidberger, James E. Daniell, Kristopher M. Bedka & Michael Kunz

HeAT – a Distributed and GPU-accelerated TensorFramework for Data Analytics

Markus Götz, Charlotte Debus, Daniel Coquelin, Kai Krajsek, Claudia Comito, Philipp Knechtges, Björn Hagemeier, Michael Tarnawa, Simon Hanselmann, Martin Siggel, Achim Basermann & Achim Streit
To cope with the rapid growth in available data, the efficiency of data analysis and machine learning libraries has recently received increased attention. Although great advancements have been made in traditional array-based computations, most are limited by the resources available on a single computation node. Consequently, novel approaches must be made to exploit distributed resources, e.g. distributed memory architectures. To this end, we introduce HeAT, an array-based numerical programming framework for large-scale parallel processing with...

Preserving Secrecy in Online Social Networks: Data Outsourcing, Access Control, and Secrecy Schemes

Gabriela Suntaxi
In den vergangenen Jahren haben sich Online Social Networks (OSNs) wie Facebook und Foursquare zu einer beliebten Möglichkeit der Kommunikation und des Teilens von Informationen unter Nutzern entwickelt. OSNs sind virtuelle Communitys, die Informationen über die Nutzer und die zwischen ihnen bestehenden Beziehungen, wie z.~B. Freundschaften, enthalten. Zusätzlich dazu, dass eine Interaktion der Nutzer untereinander ermöglicht wird, bieten OSNs ihren Nutzern normalerweise verschiedene Arten von Dienstleistungen an, wie z.~B. die Abfrage nach Freunden innerhalb einer...

Elektromobile Flotten im lokalen Energiesystem mit Photovoltaikeinspeisung unter Berücksichtigung von Unsicherheiten

Katrin Seddig
In diesem Buch wird ein Modell entwickelt, welches zur Identifizierung der Lastverschiebepotenziale von elektromobilen Flotten unter Berücksichtigung der Integration von Photovoltaik-Erzeugung und Unsicherheiten nutzbar ist. Es werden unterschiedliche Ansätze unter der Anwendung von Simulation, deterministischer und stochastischer Optimierung entwickelt, um den Ladevorgang von drei verschiedenen Elektrofahrzeugflotten an einer gemeinsam genutzten Ladeinfrastruktur unter Unsicherheit zu planen.

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