Vienna University of Technology

About: Vienna University of Technology is a education organization based out in Vienna, Austria. It is known for research contribution in the topics: Laser & Cloud computing. The organization has 16723 authors who have published 49341 publications receiving 1302168 citations.

A Linear Time Implementation of SPQR-Trees

Abstract: The data structure SPQR-tree represents the decomposition of a biconnected graph with respect to its triconnected components. SPQR-trees have been introduced by Di Battista and Tamassia [8] and, since then, became quite important in the field of graph algorithms. Theoretical papers using SPQR-trees claim that they can be implemented in linear time using a modification of the algorithm by Hopcroft and Tarjan [15] for decomposing a graph into its triconnected components. So far no correct linear time implementation of either triconnectivity decomposition or SPQR-trees is known to us. Here, we show the incorrectness of the Hopcroft and Tarjan algorithm [15], and correct the faulty parts. We describe the relationship between SPQR-trees and triconnected components and apply the resulting algorithm to the computation of SPQR-trees. Our implementation is publically available in AGD [1].

Osmotic Computing: A New Paradigm for Edge/Cloud Integration

Abstract: Osmotic computing is a new paradigm to support the efficient execution of Internet of Things (IoT) services and applications at the network edge. This paradigm is founded on the need for a holistic distributed system abstraction enabling the deployment of lightweight microservices on resource-constrained IoT platforms at the network edge, coupled with more complex microservices running on large-scale datacenters. This paradigm is driven by the significant increase in resource capacity/capability at the network edge, along with support for data transfer protocols that enable such resources to interact more seamlessly with datacenter-based services. This installment of "Blue Skies" discusses osmotic computing features, challenges, and future directions.

From Words to Numbers: How to Transform Qualitative Data into Meaningful Quantitative Results

Abstract: In proposing a procedure for transforming qualitative data into quantitative results, we address the manifold requests for discovery-oriented research in the business disciplines. We present a systematic classification of combined qualitative-quantitative research designs and argue in favor of the generalization model. We give guidelines for its implementation and provide a blueprint for systematically converting respondents' words into numbers that can be used for further (statistical) analyses. We delimit and discuss the stages of unitization, categorization, and coding. We also raise quality issues and propose relevant quality criteria in the transformation process. In particular, we suggest the intercoder consistency-matrix for determining the incisiveness of categories developed through content analysis. Finally, we demonstrate in an exemplary study how the blueprint can be applied and highlight the benefits of the proposed research design.

Integrating an ultramicroelectrode in an AFM cantilever: combined technology for enhanced information.

Abstract: We present a novel approach to develop and process a microelectrode integrated in a standard AFM tip. The presented fabrication process allows the integration of an electroactive area at an exactly defined distance above of the end of a scanning probe tip and the subsequent remodeling and sharpening of the original AFM tip using a focused ion beam (FIB) technique (See ref 1 for patent information). Thus, the functionality of scanning electrochemical microscopy (SECM) can be integrated into any standard atomic force microscope (AFM). With the demonstrated approach, a precisely defined and constant distance between the microelectrode and the sample surface can be obtained, alternatively to the indirect determination of this distance usually applied in SECM experiments. Hence, a complete separation of the topographical information and the electrochemical signal is possible. The presented technique is a significant step toward electrochemical imaging with submicrometer electrodes as demonstrated by the develo...