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Mobile-Commerce-Studie
(2000)
Zur Schätzung der Exposition von Oberflächengewässern durch Pflanzenschutzmittel werden PEC-Werte mit Hilfe eines probabilistischen Verfahrens ermittelt. Hierfür werden zunächst verschiedene Regressionsanalysen zur Modellierung der Abdrift durchgeführt. Anschließend wird die ausgewählte Abdriftverteilung mit verschiedenen Verteilungsansätzen für die Aufwandmenge und das Gewässervolumen kombiniert.
Neue technologische Entwicklungen basieren immer mehr auf einer
zunehmenden Mathematisierung, gerade in den Ingenieurwissenschaften.
Nicht erst seit PISA ist jedoch zu beobachten, dass sich das
belastbare mathematische Grundwissen vieler Studienanfänger in den letzten Jahren verringert hat.
Im vorliegenden Beitrag wird dieses Spannungsfeld, in dem sich die Ingenieurmathematik befindet, aus Sicht von Fachhochschuldozenten beschrieben. Ausgehend von den Ausbildungszielen der Ingenieurmathematik werden Anforderungen an die Schulmathematik abgeleitet.
Diese Anforderungen werden beispielhaft für die Einführung und den Umgang mit den mathematischen Objekten Zahlen, Terme, Gleichungen und Funktionen konkretisiert.
Ziel ist eine Sensibilisierung von Mathematiklehrerinnen und -lehrern, um ihre Schulabsolventinnen und -absolventen besser für ein zukünftiges ingenieurwissenschaftliches Studium zu rüsten.
Data management is a challenge in both scientific and technical environments. Therefore researchers have developed a special interest in this field. Modern approaches (i.e. Subversion, CVS) already offer authoring and versioning in distributed systems. However this might be insufficient in a vast number of scenarios, where not only the data resulting from a process, but also data which describes the process that generated those results is crucial.
Publikation Umweltdaten
(2009)
For many practical problems an efficient solution of the one-dimensional shallow water equations (Saint-Venant equations) is important, especially when large networks of rivers, channels or pipes are considered. In order to test and develop numerical methods four test problems are formulated. These tests include the well known dam break and hydraulic jump problems and two steady state problems with varying channel bottom, channel width and friction.
This report presents the implementation and evaluation of a computer vision task on a Field Programmable Gate Array (FPGA). As an experimental approach for an application-specific image-processing problem it provides reliable results to measure gained performance and precision compared with similar solutions on General Purpose Processor (GPP) architectures.
The project addresses the problem of detecting Binary Large OBjects (BLOBs) in a continuous video stream. For this problem a number of different solutions exist. But most of these are realized on GPP platforms, where resolution and processing speed define the performance barrier. With the opportunity of parallelization and performance abilities like in hardware, the application of FPGAs become interesting. This work belongs to the MI6 project from the Computer Vision research group of the University of Applied Sciences Bonn-Rhein-Sieg. It address the detection of the users position and orientation in relation to the virtual environment in an Immersion Square.
The goal is to develop a light emitting device, that points from the user towards the point of interest on the projection screen. The projected light dots are used to represent the user in the virtual environment. By detecting the light dots with video cameras, the idea is to interface the position and orientation of the relative position of the user interface. Fort that the laser dots need to be arranged in a unique pattern, which requires at least five points.[29] For a reliable estimation a robust computation of the BLOB's center-points is necessary.
This project has covered the development of a BLOB detection system on a FPGA platform. It detects binary spatially extended objects in a continuous video stream and computes their center points. The results are displayed to the user and where validated for their ground truth. The evaluation compares precision and performance gain against similar approaches on GPP platforms.
This report describes the design, the implementation and the usage of a system for managing different systems for automated theorem proving and automatically generated proofs. In particular, we focus on a user-friendly web-based interface and a structure for collecting and cataloguing proofs in a uniform way. The second point hopefully helps to understand the structure of automatically generated proofs and builds a starting point for new insights for strategies for proof planning.
Schwingungen sind Bestandteil einer jeden Maschine mit beweglichen Teilen, manchmal sind sie unbedeutend, manchmal deutlich merkbar. Die Überwachung von Schwingungen einer Maschine kann dazu dienen, die Maschinenfunktion zu kontrollieren oder auch frühzeitig Verschleißschäden zu erkennen. Stand der Technik ist die Messung von Schwingungen mit präzisen, aber auch kostenintensiven piezoelektrischen Beschleunigungssensoren und aufwändigen Messsystemen. Solche konventionellen Systeme sind für hochpreisige Maschinen und Anlagen, z. B. Windkraftanlagen, einsetzbar, aber nicht für kleine und mittelgroße Maschinen. Hier besteht der Bedarf an wirklichen Low-Cost Messsystemen, die so günstig sind, dass sie permanent in die Maschine integriert sind und permanent die Schwingungen überwachen. Im Forschungsprojekt wurde ein Baukasten aus kommerziell verfügbaren Komponenten entwickelt, mit dem Low-Cost Schwingungsmesssysteme aufgebaut werden können.
This report presents the implementation and evaluation of a computer vision problem on a Field Programmable Gate Array (FPGA). This work is based upon [5] where the feasibility of application specific image processing algorithms on a FPGA platform have been evaluated by experimental approaches. The results and conclusions of that previous work builds the starting point for the work, described in this report. The project results show considerable improvement of previous implementations in processing performance and precision. Different algorithms for detecting Binary Large OBjects (BLOBs) more precisely have been implemented. In addition, the set of input devices for acquiring image data has been extended by a Charge-Coupled Device (CCD) camera. The main goal of the designed system is to detect BLOBs in continuous video image material and compute their center points.
This work belongs to the MI6 project from the Computer Vision research group of the University of Applied Sciences Bonn-Rhein-Sieg1 . The intent is the invention of a passive tracking device for an immersive environment to improve user interaction and system usability. Therefore the detection of the users position and orientation in relation to the projection surface is required. For a reliable estimation a robust and fast computation of the BLOB's center-points is necessary. This project has covered the development of a BLOB detection system on an Altera DE2 Development and Education Board with a Cyclone II FPGA. It detects binary spatially extended objects in image material and computes their center points. Two different sources have been applied to provide image material for the processing. First, an analog composite video input, which can be attached to any compatible video device. Second, a five megapixel CCD camera, which is attached to the DE2 board. The results are transmitted on the serial interface of the DE2 board to a PC for validation of their ground truth and further processing. The evaluation compares precision and performance gain dependent on the applied computation methods and the input device, which is providing the image material.
Reversible logic synthesis is an emerging research topic with different application areas like low-power CMOS design, quantum- and optical computing. The key motivation behind reversible logic synthesis is the optimization of the heat dissipation problem current architectures show, by reducing it to theoretically zero [2].
Low Cost Displays
(2010)