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.

Transparency of CHI Research Artifacts: Results of a Self-Reported Survey

Abstract: Several fields of science are experiencing a "replication crisis" that has negatively impacted their credibility. Assessing the validity of a contribution via replicability of its experimental evidence and reproducibility of its analyses requires access to relevant study materials, data, and code. Failing to share them limits the ability to scrutinize or build-upon the research, ultimately hindering scientific progress. Understanding how the diverse research artifacts in HCI impact sharing can help produce informed recommendations for individual researchers and policy-makers in HCI. Therefore, we surveyed authors of CHI 2018-2019 papers, asking if they share their papers' research materials and data, how they share them, and why they do not. The results (34% response rate) show that sharing is uncommon, partly due to misunderstandings about the purpose of sharing and reliable hosting. We conclude with recommendations for fostering open research practices. This paper and all data and materials are freely available at https://osf.io/3bu6t.

Mobile Phone-Enabled Museum Guidance with Adaptive Classification

Abstract: We present an overview of our adaptive museum guidance system called PhoneGuide. It uses camera-equipped mobile phones for on-device object recognition in ad-hoc sensor networks and provides location and object aware multimedia content to museum visitors.

Ultra-broad-band electrical spectroscopy of soils and sediments—a combined permittivity and conductivity model

Abstract: We combined two completely different methods measuring the frequency-dependent electrical properties of moist porous materials in order to receive an extraordinary large frequency spectrum In the low-frequency (LF) range, complex electrical resistivity between 1 mHz and 45 kHz was measured for three different soils and sandstone, using the spectral induced polarization (SIP) method with a four electrode cell In the high-frequency (HF) radio to microwave range, complex dielectric permittivity was measured between 1MHz and 10 GHz for the same samples using dielectric spectroscopy by means of the coaxial transmission line technique The combined data sets cover 13 orders of magnitude and were transferred into their equivalent expressions: the complex effective dielectric permittivity and the complex effective electrical conductivityWe applied the Kramers-Kronig relation in order to justify the validity of the data combination A new phenomenological model that consists of both dielectric permittivity and electrical conductivity terms in a Debye- and Cole–Cole-type manner was fitted to the spectra The combined permittivity and conductivity model accounts for the most common representations of the physical quantities with respect to the individual measuring method A maximum number of four relaxation processes was identified in the analysed frequency range Among these are the free water and different interfacial relaxation processes, the Maxwell-Wagner effect, the counterion relaxation in the electrical double layer and the direct-current electrical conductivity There is evidence that free water relaxation does not affect the electrical response in the SIP range Moreover, direct current conductivity contribution (bulk and interface) dominates the losses in the HF range Interfacial relaxation processes with relaxations in the HF range are broadly distributed down to the LF range The slowest observed process in the LF range has a minor contribution to the HF response

Thermal conductivity dependence on chain length in amorphous polymers

Abstract: We apply united-atom (UA) nonequilibrium molecular dynamics simulations to predict the thermal conductivity for amorphous polyethylene at room temperature with chain length (CL) increasing from 4 to 1260. The thermal conductivity is determined by the competition of the two mechanisms: (1) The collision among the UA beads and (2) the phonon vibration. The collision mechanism mainly dominates CL≤7, while the phonon vibration mechanism mainly determines CL ≥ 140. The competition between the two mechanisms determines 12 ≤ CL ≤ 140. In particular, the thermal conductivity for 8 ≤ CL ≤ 11 cannot be obtained accurately due to the aggregation of the beads.