Bauhaus University, Weimar

About: Bauhaus University, Weimar is a education organization based out in Weimar, Thüringen, Germany. It is known for research contribution in the topics: Finite element method & Isogeometric analysis. The organization has 1421 authors who have published 2998 publications receiving 104454 citations. The organization is also known as: Bauhaus-Universität Weimar & Hochschule für Architektur und Bauwesen.

McOE: a family of almost foolproof on-line authenticated encryption schemes

Abstract: On-Line Authenticated Encryption (OAE) combines privacy with data integrity and is on-line computable Most block cipher-based schemes for Authenticated Encryption can be run on-line and are provably secure against nonce-respecting adversaries But they fail badly for more general adversaries This is not a theoretical observation only --- in practice, the reuse of nonces is a frequent issue In recent years, cryptographers developed misuse-resistant schemes for Authenticated Encryption These guarantee excellent security even against general adversaries which are allowed to reuse nonces Their disadvantage is that encryption can be performed in an off-line way, only This paper considers OAE schemes dealing both with nonce-respecting and with general adversaries It introduces McOE, an efficient design for OAE schemes For this we present in detail one of the family members, McOEx, which is a design solely based on a standard block cipher As all the other member of the McOE family, it provably guarantees reasonable security against general adversaries as well as standard security against nonce-respecting adversaries

The differing roles of success drivers across sequential channels: An application to the motion picture industry

Abstract: In several product categories, it is typical to release products sequentially to different markets and customer segments Conventional knowledge holds that the roles of various product success drivers do not differ significantly across these sequential channels of distribution The authors examine sequential distribution channels within the motion picture industry and develop a model that proposes that such differences exist between a primary (short- and long-term theatrical box office) and a sequential (video rental) channel The authors test their model with a sample of 331 motion pictures released in theaters and on video during 1999–2001 using partial least squares Results reveal differences in the impact of success factors across channels For example, cultural familiarity enhances box office success but relates negatively to video rental success, and distribution intensity and date of release enhance box office outcomes but have no impact on rental revenues

Toward a theory of repeat purchase drivers for consumer services

Abstract: The marketing discipline’s knowledge about the drivers of service customers’ repeat purchase behavior is highly fragmented. This research attempts to overcome that fragmented state of knowledge by making major advances toward a theory of repeat purchase drivers for consumer services. Drawing on means–end theory, the authors develop a hierarchical classification scheme that organizes repeat purchase drivers into an integrative and comprehensive framework. They then identify drivers on the basis of 188 face-to-face laddering interviews in two countries (USA and Germany) and assess the drivers’ importance and interrelations through a national probability sample survey of 618 service customers. In addition to presenting an exhaustive and coherent set of hierarchical repeat-purchase drivers, the authors provide theoretical explanations for how and why drivers relate to one another and to repeat purchase behavior. This research also tests the boundary conditions of the proposed framework by accounting for different service types. In addition to its theoretical contribution, the framework provides companies with specific information about how to manage long-term customer relationships successfully.

Modelling heat conduction in polycrystalline hexagonal boron-nitride films

Abstract: We conducted extensive molecular dynamics simulations to investigate the thermal conductivity of polycrystalline hexagonal boron-nitride (h-BN) films. To this aim, we constructed large atomistic models of polycrystalline h-BN sheets with random and uniform grain configuration. By performing equilibrium molecular dynamics (EMD) simulations, we investigated the influence of the average grain size on the thermal conductivity of polycrystalline h-BN films at various temperatures. Using the EMD results, we constructed finite element models of polycrystalline h-BN sheets to probe the thermal conductivity of samples with larger grain sizes. Our multiscale investigations not only provide a general viewpoint regarding the heat conduction in h-BN films but also propose that polycrystalline h-BN sheets present high thermal conductivity comparable to monocrystalline sheets.

Plagiarism Detection Without Reference Collections

Abstract: Current research in the field of automatic plagiarism detection for text documents focuses on the development of algorithms that compare suspicious documents against potential original documents. Although recent approaches perform well in identifying copied or even modified passages ([Brin et al. (1995), Stein (2005)]), they assume a closed world where a reference collection must be given (Finkel (2002)). Recall that a human reader can identify suspicious passages within a document without having a library of potential original documents in mind.