812 research outputs found
Seamless and Secure VR: Adapting and Evaluating Established Authentication Systems for Virtual Reality
Virtual reality (VR) headsets are enabling a wide range of new
opportunities for the user. For example, in the near future users
may be able to visit virtual shopping malls and virtually join
international conferences. These and many other scenarios pose
new questions with regards to privacy and security, in particular
authentication of users within the virtual environment. As a first
step towards seamless VR authentication, this paper investigates
the direct transfer of well-established concepts (PIN, Android
unlock patterns) into VR. In a pilot study (N = 5) and a lab
study (N = 25), we adapted existing mechanisms and evaluated
their usability and security for VR. The results indicate that
both PINs and patterns are well suited for authentication in
VR. We found that the usability of both methods matched the
performance known from the physical world. In addition, the
private visual channel makes authentication harder to observe,
indicating that authentication in VR using traditional concepts
already achieves a good balance in the trade-off between usability
and security. The paper contributes to a better understanding of
authentication within VR environments, by providing the first
investigation of established authentication methods within VR,
and presents the base layer for the design of future authentication
schemes, which are used in VR environments only
Discrete-Continuous ADMM for Transductive Inference in Higher-Order MRFs
This paper introduces a novel algorithm for transductive inference in
higher-order MRFs, where the unary energies are parameterized by a variable
classifier. The considered task is posed as a joint optimization problem in the
continuous classifier parameters and the discrete label variables. In contrast
to prior approaches such as convex relaxations, we propose an advantageous
decoupling of the objective function into discrete and continuous subproblems
and a novel, efficient optimization method related to ADMM. This approach
preserves integrality of the discrete label variables and guarantees global
convergence to a critical point. We demonstrate the advantages of our approach
in several experiments including video object segmentation on the DAVIS data
set and interactive image segmentation
First Impressions are More Important than Early Intervention Qualifying Broken Windows Theory in the Lab
Broken Windows: the metaphor has changed New York and Los Angeles. Yet it is far from undisputed whether the broken windows policy was causal for reducing crime. In a series of lab experiments we put two components of the theory to the test. We show that first impressions and early punishment of antisocial behaviour are independently and jointly causal for cooperativeness. The effect of good first impressions and of early vigilance cannot be explained with, but adds to, participantsâ initial level of benevolence. Mere impression management is not strong enough to maintain cooperation. Cooperation stabilizes if good first impressions are combined with some risk of sanctions. Yet if we control for first impressions, early vigilance only has a small effect. The effect vanishes over time.
Wie kommt Engagement in die Stadtentwicklung?
Im Praxis-Forschungsprojekt TransZ haben wir zwischen 2017 und 2022 bĂŒrgerschaftliche Arbeitsgruppen dabei begleitet, Ideen fĂŒr die Entwicklung der Altstadt zu generieren und umzusetzen. Ausgangsidee des Projekts war es, durch eine offene Herangehensweise neue Ideen zu ermöglichen und neue Aktive fĂŒr die Stadtentwicklung zu gewinnen. Im Artikel wird zunĂ€chst der Projektverlauf von zwei sehr unterschiedlichen Arbeitsgruppen beschrieben. Ăber die Analyse der Motivationen der Beteiligten und der Zusammenarbeit in den beiden Arbeitsgruppen sowie unserer Rolle und der Zusammenarbeit mit stĂ€dtischen Akteur*innen werden Erkenntnisse fĂŒr die Einbindung von Engagement aus der Bevölkerung in die Stadtentwicklung (in kleineren StĂ€dten) abgeleitet
A Cahn-Hilliard-Darcy model for tumour growth with chemotaxis and active transport
Using basic thermodynamical principles we derive a Cahn--Hilliard--Darcy model for tumour growth including nutrient diffusion, chemotaxis, active transport, adhesion, apoptosis and proliferation. The model generalise earlier models and in particular include active transport mechanisms which ensures thermodynamical consistency. We perform a formally matched asymptotic expansion and develop several sharp interface models. Some of them are classical and some new ones which for example include a jump in the nutrient density at the interface. A linear stability analysis for a growing nucleus is performed and in particular the role of the new active transport term is analysed. Numerical computations are performed to study the influence of the active transport term for specific growth scenarios
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Wafer-level uniformity of atomic-layer-deposited niobium nitride thin films for quantum devices
Superconducting niobium nitride thin films are used for a variety of photon detectors, quantum devices, and superconducting electronics. Most of these applications require highly uniform films, for instance, when moving from single-pixel detectors to arrays with a large active area. Plasma-enhanced atomic layer deposition (ALD) of superconducting niobium nitride is a feasible option to produce high-quality, conformal thin films and has been demonstrated as a film deposition method to fabricate superconducting nanowire single-photon detectors before. Here, we explore the property spread of ALD-NbN across a 6-in. wafer area. Over the equivalent area of a 2-in. wafer, we measure a maximum deviation of 1% in critical temperature and 12% in switching current. Toward larger areas, structural characterizations indicate that changes in the crystal structure seem to be the limiting factor rather than film composition or impurities. The results show that ALD is suited to fabricate NbN thin films as a material for large-area detector arrays and for new detector designs and devices requiring uniform superconducting thin films with precise thickness control
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Cluster analysis of downscaled and explicitly simulated North Atlantic tropical cyclone tracks
A realistic representation of the North Atlantic tropical cyclone tracks is crucial as it allows, for example, explaining potential changes in US landfalling systems. Here we present a tentative study, which examines the ability of recent climate models to represent North Atlantic tropical cyclone tracks. Tracks from two types of climate models are evaluated: explicit tracks are obtained from tropical cyclones simulated in regional or global climate models with moderate to high horizontal resolution (1° to 0.25°), and downscaled tracks are obtained using a downscaling technique with large-scale environmental fields from a subset of these models. For both configurations, tracks are objectively separated into four groups using a cluster technique, leading to a zonal and a meridional separation of the tracks. The meridional separation largely captures the separation between deep tropical and sub-tropical, hybrid or baroclinic cyclones, while the zonal separation segregates Gulf of Mexico and Cape Verde storms. The properties of the tracksâ seasonality, intensity and power dissipation index in each cluster are documented for both configurations. Our results show that except for the seasonality, the downscaled tracks better capture the observed characteristics of the clusters. We also use three different idealized scenarios to examine the possible future changes of tropical cyclone tracks under 1) warming sea surface temperature, 2) increasing carbon dioxide, and 3) a combination of the two. The response to each scenario is highly variable depending on the simulation considered. Finally, we examine the role of each cluster in these future changes and find no preponderant contribution of any single cluster over the others
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