Open Access

Vorrichtung (2) zur Analyse von Urin, umfassend: – eine Zuführ- und Abführeinrichtung (7), welche zur Zuführung einer bestimmten Urinmenge in eine wenigstens einen Analysebereich (8) aufweisende Analysekammer (9) eines Urinteststreifens (10) und zur Abführung einer bestimmten Urinmenge aus einer wenigstens einen Analysebereich (8) aufweisenden Analysekammer (9) eines Urinteststreifens (10) eingerichtet ist, wobei die Zuführ- und Abführeinrichtung (7) wenigstens ein bewegbar gelagertes Zuführ- und/oder Abführelement (28, 29) zum Zuführen einer bestimmten Urinmenge in einen Zuführbereich (33) der Analysekammer (9) des Urinteststreifens (10) und/oder zum Abführen einer bestimmten Urinmenge aus einem Abführbereich (34) der Analysekammer (9) des Urinteststreifens (10) aufweist, und – eine Erfassungseinrichtung (11), welche zur Erfassung einer zumindest abschnittsweisen Änderung wenigstens eines optisch erfassbaren Parameters, welcher sich in Abhängigkeit der Zusammensetzung einer diesen kontaktierenden Urinmenge optisch erfassbar verändert, des oder eines entsprechenden Analysebereichs (8) des oder eines entsprechenden Urinteststreifens (10) sowie zur Erzeugung einer Erfassungsinformation, welche wenigstens einen optisch erfassten Parameter des oder eines entsprechenden Analysebereichs (8) oder eine Änderung eines solchen beschreibt, eingerichtet ist.

In this paper, we establish a simple model for the exchange of messages in a vehicular network and we consider fundamental limits on the achievable data rate. For a vehicular network, the exchange of data with other nearby vehicles is particularly important for traffic safety, e.g. for collision avoidance, but also for cooperative applications like platooning. These use cases are currently addressed by standards building on IEEE 802.11p, namely ITS-G5 and DSRC (dedicated short range communication), which encounter saturation problems at high vehicle densities. For this reason, we take a step back and ask for the fundamental limits for the common data rate in a vehicular network. After defining a simple single-lane model and the corresponding capacity limits for some basic multiple- access schemes, we present results for a more realistic setting. For both scenarios, non-orthogonal multiple-access (NOMA) yields the best results.

Nonlinearity can give rise to intermodulation distortions in surface acoustic wave (SAW) devices operating at high input power levels. To understand such undesired effects, a finite element method (FEM) simulation model in combination with a perturbation theory is applied to find out the role of different materials and higher order nonlinear tensor data for the nonlinearities in such acoustic devices. At high power, the SAW devices containing metal, piezoelectric substrate, and temperature compensating (TC) layers are subject to complicated geometrical, material, and other nonlinearities. In this paper, third-order nonlinearities in TC-SAW devices are investigated. The materials used are LiNbO 3 -rot128YX as the substrate and copper electrodes covered with a SiO 2 film as the TC layer. An effective nonlinearity constant for a given system is determined by comparison of nonlinear P-matrix simulations to third-order intermodulation measurements of test filters in a first step. By employing these constants from different systems, i.e., different metallization ratios, in nonlinear periodic P-matrix simulations, a direct comparison to nonlinear periodic FEM-simulations yields scaling factors for the materials used. Thus, the contribution of the different materials to the nonlinear behavior of TC-SAW devices is obtained and the role of metal electrodes, substrate, and TC film are discussed in detail.