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Institution

University of Paderborn

EducationPaderborn, Nordrhein-Westfalen, Germany
About: University of Paderborn is a education organization based out in Paderborn, Nordrhein-Westfalen, Germany. It is known for research contribution in the topics: Computer science & Context (language use). The organization has 6684 authors who have published 16929 publications receiving 323154 citations.


Papers
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Journal ArticleDOI
TL;DR: This study shows that GRG guarantees optimal or near optimal coverage radius, and is the first localized sensor self-deployment algorithms that provide such coverage guarantee.
Abstract: We consider sensor self-deployment problem, constructing FOCUSED coverage (F-coverage) around a Point of Interest (POI), with novel evaluation metric, coverage radius. We propose to deploy sensors in polygon layers over a locally computable equilateral triangle tessellation (TT) for optimal F-coverage formation, and introduce two types of deployment polygon, H-polygon and C-polygon. We propose two strictly localized solution algorithms, Greedy Advance (GA), and Greedy-Rotation-Greedy (GRG). The two algorithms drive sensors to move along the TT graph to surround POI. In GA, nodes greedily proceed as close to POI as they can; in GRG, when their greedy advance is blocked, nodes rotate around POI along locally computed H- or C-polygon to a vertex where greedy advance can resume. We prove that they both yield a connected network with maximized hole-free area coverage. To our knowledge, they are the first localized sensor self-deployment algorithms that provide such coverage guarantee. We further analyze their coverage radius property. Our study shows that GRG guarantees optimal or near optimal coverage radius. Through extensive simulation we as well evaluate their performance on convergence time, energy consumption, and node collision.

118 citations

Journal ArticleDOI
TL;DR: Photoluminescence reveals the dominant optical transitions of cubic GaN and, by applying an external magnetic field, their characteristic $g$ factors are determined.
Abstract: Single-phase cubic GaN layers are grown by plasma-assisted molecular-beam epitaxy. The temperature dependence of the surface reconstruction is elaborated. The structural stability of the cubic growth in dependence of the growth stoichiometry is studied by RHEED measurements and numerical simulations of the experimental RHEED patterns. Growth oscillations on cubic GaN are recorded at higher substrate temperatures and nearly stoichiometric adatom coverage. Photoluminescence reveals the dominant optical transitions of cubic GaN and, by applying an external magnetic field, their characteristic $g$ factors are determined.

118 citations

Journal ArticleDOI
TL;DR: In this article, the fatigue performance of a high-manganese austenitic steel featuring the twinning-induced plasticity (TWIP) effect was investigated in both thermomechanically treated rolled and pre-deformed conditions.
Abstract: The fatigue performance of a high-manganese austenitic steel featuring the twinning-induced plasticity (TWIP) effect was investigated in both thermomechanically treated rolled and pre-deformed conditions A thorough set of mechanical experiments and microstructural analyses demonstrated that microstructural evolutions during high-strain monotonic and low-strain cyclic deformations differ significantly Specifically, a high twin density is obtained as a result of monotonic deformation, and a low twin density, yet a noticeable increase in twin thickness, is observed in the fatigued samples Furthermore, the fatigue performance of the pre-deformed TWIP steel samples is superior to that of the as-received steel, which is attributed to the enhanced interaction of glide dislocations with twins of increased density owing to the monotonic pre-deformation

118 citations

Journal ArticleDOI
TL;DR: This paper combines the techniques of almost invariant sets (using tree structured box elimination and graph partitioning algorithms) with invariant manifold and lobe dynamics techniques to compute transport rates between two resonance regions for the three-body system consisting of the Sun, Jupiter and a third body.
Abstract: We combine the techniques of almost invariant sets (using tree structured box elimination and graph partitioning algorithms) with invariant manifold and lobe dynamics techniques. The result is a new computational technique for computing key dynamical features, including almost invariant sets, resonance regions as well as transport rates and bottlenecks between regions in dynamical systems. This methodology can be applied to a variety of multibody problems, including those in molecular modeling, chemical reaction rates and dynamical astronomy. In this paper we focus on problems in dynamical astronomy to illustrate the power of the combination of these different numerical tools and their applicability. In particular, we compute transport rates between two resonance regions for the three-body system consisting of the Sun, Jupiter and a third body (such as an asteroid). These resonance regions are appropriate for certain comets and asteroids.

118 citations

Posted Content
TL;DR: This paper presents a new type of fault attacks on elliptic curve scalar multiplications: Sign Change Attacks, which produces points which do not leave the curve and are not easily detected.
Abstract: We present a new type of fault attacks on elliptic curve scalar multiplications: Sign Change Attacks. These attacks exploit different number representations as they are often employed in modern cryptographic applications. Previously, fault attacks on elliptic curves aimed to force a device to output points which are on a cryptographically weak curve. Such attacks can easily be defended against. Our attack produces points which do not leave the curve and are not easily detected. The paper also presents a revised scalar multiplication algorithm that protects against Sign Change Attacks.

118 citations


Authors

Showing all 6872 results

NameH-indexPapersCitations
Martin Karplus163831138492
Marco Dorigo10565791418
Robert W. Boyd98116137321
Thomas Heine8442324210
Satoru Miyano8481138723
Wen-Xiu Ma8342020702
Jörg Neugebauer8149130909
Thomas Lengauer8047734430
Gotthard Seifert8044526136
Reshef Tenne7452924717
Tim Meyer7454824784
Qiang Cui7129220655
Thomas Frauenheim7045117887
Walter Richtering6733214866
Marcus Elstner6720918960
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023131
2022242
20211,030
20201,010
2019948
2018967