Refine
Year of publication
- 2012 (332) (remove)
Institute
- Fachbereich Medizintechnik und Technomathematik (72)
- Fachbereich Wirtschaftswissenschaften (42)
- Fachbereich Chemie und Biotechnologie (40)
- Fachbereich Elektrotechnik und Informationstechnik (40)
- INB - Institut für Nano- und Biotechnologien (32)
- IfB - Institut für Bioengineering (31)
- Fachbereich Bauingenieurwesen (30)
- Fachbereich Maschinenbau und Mechatronik (29)
- Fachbereich Energietechnik (20)
- Solar-Institut Jülich (15)
Document Type
- Article (130)
- Conference Proceeding (89)
- Part of a Book (36)
- Book (26)
- Conference: Meeting Abstract (17)
- Patent (12)
- Part of a Periodical (9)
- Doctoral Thesis (6)
- Report (4)
- Habilitation (1)
Keywords
- Elektromobilität (7)
- Elektrofahrzeug (5)
- Energieversorgungsnetz (5)
- Kraftfahrzeugelektronik (5)
- Aachen / Fachhochschule Aachen (3)
- Aachen University of Applied Sciences (2)
- Elektromobilität; Elektrofahrzeug; Energieversorungsnetz; Kraftfahrzeugtechnik (2)
- (Bio)degradation (1)
- 3. EU Legislativpaket (1)
- 802.15.4 (1)
As part of a novel approach to automatic sewer inspection, this paper presents a robust algorithm for automatic flow line detection. A large image repository is obtained from about 50,000 m sewers to represent the high variability of real world sewer systems. Automatic image processing combines Canny edge detection, Hough transform for straight lines and cost minimization using Dijkstra's shortest path algorithm. Assuming that flow lines are mostly smoothly connected horizontal structures, piecewise flow line delineation is reduced to a process of selecting adjacent line candidates. Costs are derived from the gap between adjacent candidates and their reliability. A single parameter α enables simple control of the algorithm. The detected flow line may precisely follow the segmented edges (α = 0.0) or minimize gaps at joints (α = 1.0). Both, manual and ground truth-based analysis indicate that α = 0.8 is optimal and independent of the sewer's material. The algorithm forms an essential step to further automation of sewer inspection.
Energieeffizienz und Energiemanagement : Ein Überblick heutiger Möglichkeiten und Notwendigkeiten
(2012)
In industrial processes there is a variety of heavy metals (e.g., copper, zinc, cadmium, and lead) in use for wires, coatings, paints, alloys, batteries, etc. Since the application of these transition metals for industry is inevitable, it is a vital task to develop proper analytical techniques for their monitoring at low activity levels, especially because most of these elements are acutely toxic for biological organisms. The determination of ions in solution by means of a simple and inexpensive sensor array is, therefore, a promising task. In this work, a sensor array with heavy metal-sensitive chalcogenide glass membranes for the simultaneous detection of the four ions Ag⁺, Cu2⁺, Cd2⁺, and Pb2⁺ in solution is realized. The results of the physical characterization by means of microscopy, profilometry, Rutherford backscattering spectroscopy (RBS), and scanning electron microscopy (SEM) as well as the electrochemical characterization by means of potentiometric measurements are presented. Additionally, the possibility to expand the sensor array by polymeric sensor membranes is discussed.