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In diesem Paper wird das abbildende Millimeterwellen-Radarsystem SAMMI® (Stand Alone MilliMeter wave Imager) des Fraunhofer-Institutes für Hochfrequenzphysik und Radartechnik FHR vorgestellt. SAMMI ist ein CW System welches bei einer Messfrequenz von 78 GHz die Proben in Transmission vermisst. Durch ein Endlosband wird ein kontinuierlicher Materialstrom sichergestellt, wobei ein DIN A4 Blatt innerhalb von 20 s durchleuchtet wird. SAMMI besitzt die Größe eines durchschnittlichen Laserdruckers wodurch es leicht zu transportieren und in wenigen Minuten einsatzbereit ist. Die mittels SAMMI erfassten Messdaten, können bereits während der Datenerfassung mit verschiedenen bereits vorinstallierten Verfahren aufbereitet und analysiert werden. Zu den integrierten Algorithmen in SAMMI® gehören unter anderen Verfahren zum 2D-Phase Unwrapping-, Cluster- und Rekonstruktions-Algorithmen zur Berechnung der Materialparameter. Die offene Softwareschnittstelle erlaubt auch die Implementierung eigener Verfahren auf der mitgelieferten Computer-Hardware. Mit den integrierten Algorithmen bietet SAMMI® eine Vielzahl an Möglichkeiten um z.B. Verunreinigungen in Materialien zu detektieren oder Schwankungen im Fertigungsprozess frühzeitig zu identifizieren. Desweiteren ist SAMMI® eine optimale Ausbildungsplattform in den Bereichen der industriellen Bildverarbeitung mittels Hochfrequenzsensoren. Insbesondere können Verfahren für unterschiedliche Anwendungen getestet bzw. für Anwendungen weiterentwickelt werden. Es werden konkrete Beispiele aus dem Bereich der Qualitätssicherung erläutert und Möglichkeiten des Gerätes und der Millimeterwellen-Technologie für die zerstörungsfreie Prüfung in Detail beschrieben.
The latest advances in the field of smart card technologies allow modern cards to be more than just simple security tokens. Recent developments facilitate the use of interactive components like buttons, displays or even touch-sensors within the cards body thus conquering whole new areas of application. With interactive functionalities the usability aspect becomes the most important one for designing secure and popularly accepted products. Unfortunately the usability can only be tested fully with completely integrated hence expensive smart card prototypes. This restricts application specific research, case studies of new smart card user interfaces, concerning applications and the performance of useability tests in smart card development. Rapid development and simulation of smart card interfaces and applications can help to avoid this restriction. This paper presents SCUIDtextsuperscript{Sim} a tool for rapid user-centric development of new smart card interfaces and applications based on common smartphone technology.
The work being described in this paper is the result of a cooperation project between the Institute of Visual Computing at the Bonn-Rhein-Sieg University of Applied Sciences, Germany and the Laboratory of Biomedical Engineering at the Federal University of Uberlândia, Brazil. The aim of the project is the development of a virtual environment based training simulator which enables for better and faster learning the control of upper limb prostheses. The focus of the paper is the description of the technical setup since learning tutorials still need to be developed as well as a comprehensive evaluation still needs to be carried out.
Mit dem Projekt Pro-MINT-us hat sich die Hochschule Bonn-Rhein-Sieg erfolgreich im „Qualitätspakt Lehre“ beworben. Im Fokus steht dabei eine bessere Begleitung der Studierenden im Übergang von der Schule zur Hochschule. Mit Hilfe der Projektmittel konnten u.a. zwei Stellen geschaffen werden, die die Studierenden im Bereich „wissenschaftliches Schreiben“ unterstützen sollen.
The ability to track moving people is a key aspect of autonomous robot systems in real-world environments. Whilst for many tasks knowing the approximate positions of people may be sufficient, the ability to identify unique people is needed to accurately count people in the real world. To accomplish the people counting task, a robust system for people detection, tracking and identification is needed.
Adapting plans to changes in the environment by finding alternatives and taking advantage of opportunities is a common human behavior. The need for such behavior is often rooted in the uncertainty produced by our incomplete knowledge of the environment. While several existing planning approaches deal with such issues, artificial agents still lack the robustness that humans display in accomplishing their tasks. In this work, we address this brittleness by combining Hierarchical Task Network planning, Description Logics, and the notions of affordances and conceptual similarity. The approach allows a domestic service robot to find ways to get a job done by making substitutions. We show how knowledge is modeled, how the reasoning process is used to create a constrained planning problem, and how the system handles cases where plan generation fails due to missing/unavailable objects. The results of the evaluation for two tasks in a domestic service domain show the viability of the approach in finding and making the appropriate goal transformations.
Robust Indoor Localization Using Optimal Fusion Filter For Sensors And Map Layout Information
(2014)
In contrast to projection-based systems, large, high resolution multi-display systems offer a high pixel density on a large visualization area. This enables users to step up to the displays and see a small but highly detailed area. If the users move back a few steps they don't perceive details at pixel level but will instead get an overview of the whole visualization. Rendering techniques for design evaluation and review or for visualizing large volume data (e.g. Big Data applications) often use computationally expensive ray-based methods. Due to the number of pixels and the amount of data, these methods often do not achieve interactive frame rates.
A view direction based (VDB) rendering technique renders the user's central field of view in high quality whereas the surrounding is rendered with a level-of-detail approach depending on the distance to the user's central field of view. This approach mimics the physiology of the human eye and conserves the advantage of highly detailed information when standing close to the multi-display system as well as the general overview of the whole scene. In this paper we propose a prototype implementation and evaluation of a focus-based rendering technique based on a hybrid ray tracing/sparse voxel octree rendering approach.
Sustainability is a key issue in current research activities and programs. In this conjunction three major functions of research have been identified: Basic research, knowledge reservoirs, and knowledge transfer. With regard to a transmission to the private sector, knowledge transfer is the most important factor. In this process, universities of applied sciences can play an important part as they typically have a long-standing experience in linking science and business in their teaching and research. Another important agent in the process of knowledge transfer are networks and clusters. Their strength lies integrating the different competencies of its partners and using them to a mutual benefit.
The International Centre for Sustainable Development (IZNE) – with a major focus on responsible business and sustainable food – takes the advantage of being part of a University of Applied Sciences (Bonn-Rhein-Sieg, BRSU), and being a member of several regional and international clusters and networks. These co-operations aim to establish and strengthen linkages between science and business, in particular by investigating research needs for business and business relevant research activities. Moreover, IZNE established and expanded regional and international co-operations of its own to get more transparency about regional and international value-added chains in the food sector and the issue of responsible business.
Level-Synchronous Parallel Breadth-First Search Algorithms For Multicore and Multiprocessor Systems
(2014)
Breadth-First Search (BFS) is a graph traversal technique used in many applications as a building block, e.g.,~to systematically explore a search space. For modern multicore processors and as application graphs get larger, well-performing parallel algorithms are favourable. In this paper, we systematically evaluate an important class of parallel BFS algorithms and discuss programming optimization techniques for their implementation. We concentrate our discussion on level-synchronous algorithms for larger multicore and multiprocessor systems. In our results, we show that for small core counts many of these algorithms show rather similar behaviour. But, for large core counts and large graphs, there are considerable differences in performance and scalability influenced by several factors. This paper gives advice, which algorithm should be used under which circumstances.