Savojna čvrstoća OSB ploča – razlika između gornje i donje strane ploče

This article is focused on evaluating the differences between the upper and lower faces of OSB/3 – Superfinish in the course of bending stress. OSB is a material manufactured from wood chips of a large surface area, irregular shape and unequal length, which are partly randomly distributed and at the same time not perfectly oriented. Differences regarding the content of OSB surface layers cause unequal properties, which can be demonstrated, especially under bending load. The measurements made show that OSB positioned with upper face downwards in the course of the bending test are capable of withstanding a higher load, and reaching an evidentially lower deflection, compared to those with lower face downwards.Rad se bavi procjenom razlika između gornje i donje strane OSB/3 ploča, prije svega u smislu savojnog naprezanja. OSB ploče drvni su materijal proizveden od drvnog iverja velike površine, nepravilnog oblika i nejednake duljine. Drvno je iverje slučajno raspoređeno te stoga nije uvijek potpuno pravilno orijentirano. Razlike u sastavu površinskih slojeva OSB ploča bitno utječu na nejednolikost svojstava ploča, posebice pri opterećenju na savijanje. Provedena mjerenja pokazala su da OSB ploče koje su pri testiranju okrenute gornjom površinom ploče prema dolje mogu podnijeti veća opterećenja na savijanje i bilježe manje deformacije od ploča koje su pri testiranju bile postavljene donjom površinom prema dolje

HyperLoom possibilities for executing scientific workflows on the cloud

We have developed HyperLoom - a platform for defining and executing scientific workflows in large-scale HPC systems. The computational tasks in such workflows often have non-trivial dependency patterns, unknown execution time and unknown sizes of generated outputs. HyperLoom enables to efficiently execute the workflows respecting task requirements and cluster resources agnostically to the shape or size of the workflow. Although HPC infrastructures provide an unbeatable performance, they may be unavailable or too expensive especially for small to medium workloads. Moreover, for some workloads, due to HPCs not very flexible resource allocation policy, the system energy efficiency may not be optimal at some stages of the execution. In contrast, current public cloud providers such as Amazon, Google or Exoscale allow users a comfortable and elastic way of deploying, scaling and disposing a virtualized cluster of almost any size. In this paper, we describe HyperLoom virtualization and evaluate its performance in a virtualized environment using workflows of various shapes and sizes. Finally, we discuss the Hyperloom potential for its expansion to cloud environments.61140639

Observational Equivalence and Full Abstraction in the Symmetric Interaction Combinators

The symmetric interaction combinators are an equally expressive variant of Lafont's interaction combinators. They are a graph-rewriting model of deterministic computation. We define two notions of observational equivalence for them, analogous to normal form and head normal form equivalence in the lambda-calculus. Then, we prove a full abstraction result for each of the two equivalences. This is obtained by interpreting nets as certain subsets of the Cantor space, called edifices, which play the same role as Boehm trees in the theory of the lambda-calculus

Terrestrial laser scanning - a supplementary approach for 3D documentation and animation

While aerial methods undesputedly form the backbone of modern photogrammetry, we have seen an increased use of terrestrial methods in the past years to supplement aerial data especially in the field of 3D city modelling and the animation thereof. This article describes an approach to use terrestrial laser scanning in order to increase detail and realism of datasets derived from arial methods. When devising a new strategy for the integration of data from multiple sources two aspects come to focus. For one methods for the registration of the datasets are needed. Secondly a suitable data model has to be introduced to hold multiple aspects of the data. Consequently we present our methods for the automatted georeferencing of terrestrial laser data and we introduce the concept of LASERMAPs, which are extracted from terrestrial laser data and mapped onto the 3D building model

Unsupervised visualization of image datasets using contrastive learning

Visualization methods based on the nearest neighbor graph, such as t-SNE or UMAP, are widely used for visualizing high-dimensional data. Yet, these approaches only produce meaningful results if the nearest neighbors themselves are meaningful. For images represented in pixel space this is not the case, as distances in pixel space are often not capturing our sense of similarity and therefore neighbors are not semantically close. This problem can be circumvented by self-supervised approaches based on contrastive learning, such as SimCLR, relying on data augmentation to generate implicit neighbors, but these methods do not produce two-dimensional embeddings suitable for visualization. Here, we present a new method, called t-SimCNE, for unsupervised visualization of image data. T-SimCNE combines ideas from contrastive learning and neighbor embeddings, and trains a parametric mapping from the high-dimensional pixel space into two dimensions. We show that the resulting 2D embeddings achieve classification accuracy comparable to the state-of-the-art high-dimensional SimCLR representations, thus faithfully capturing semantic relationships. Using t-SimCNE, we obtain informative visualizations of the CIFAR-10 and CIFAR-100 datasets, showing rich cluster structure and highlighting artifacts and outliers

Kompetenzbilanzierung für das Aus- und Weiterbildungspersonal: der Volkswagen Bildungsinstitut GmbH als Möglichkeit der Personalentwicklung

Der seit einigen Jahren geführte Kompetenzdiskurs sowie die Bedeutungszunahme informellen Lernens besonders am Arbeitsplatz haben Verfahren zur Sichtbarmachung und Bilanzierung beruflicher Kompetenzen in der pädagogischen Praxis wie auch in der bildungspolitischen Diskussion eine prominente Stellung verschafft. Jedoch konzentrieren sich solche Verfahren in der Regel auf Auszubildende oder Weiterbildungsteilnehmer. Dieser enggeführte Blick hat die Lehrenden und/oder dispositiv tätigen Mitarbeiter in der beruflichen Aus- und Weiterbildung weitgehend ausgeblendet. Welche Kompetenzen diese besitzen, wo sie erworben wurden oder wie sie weiterent wickelt werden können, ist weitgehend unbekannt. In diesem Beitrag wird ein Kompetenzbilanzierungsverfahren für berufliches/betriebliches Weiter bildungspersonal dargestellt und es werden die Möglichkeiten und Grenzen des Einsatzes diskutiert

Dietrich Geyer: Trübsinn und Raserei. Die Anfänge der Psychiatrie in Deutschland. München: C.H. Beck 2014 (352 S.) [Rezension]

Rezension von: Dietrich Geyer: Trübsinn und Raserei. Die Anfänge der Psychiatrie in Deutschland. München: C.H. Beck 2014 (352 S.; ISBN 978-3-406-66790-9; 29,95 EUR)

HyperLoom: A platform for defining and executing scientific pipelines in distributed environments

Real-world scientific applications often encompass end-to-end data processing pipelines composed of a large number of interconnected computational tasks of various granularity. We introduce HyperLoom, an open source platform for defining and executing such pipelines in distributed environments and providing a Python interface for defining tasks. HyperLoom is a self-contained system that does not use an external scheduler for the actual execution of the task. We have successfully employed HyperLoom for executing chemogenomics pipelines used in pharmaceutic industry for novel drug discovery.6