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Mathematical morphology is a part of image processing that has proven to be fruitful for numerous applications. Two main operations in mathematical morphology are dilation and erosion. These are based on the construction of a supremum or infimum with respect to an order over the tonal range in a certain section of the image. The tonal ordering can easily be realised in grey-scale morphology, and some morphological methods have been proposed for colour morphology. However, all of these have certain limitations.
In this paper we present a novel approach to colour morphology extending upon previous work in the field based on the Loewner order. We propose to consider an approximation of the supremum by means of a log-sum exponentiation introduced by Maslov. We apply this to the embedding of an RGB image in a field of symmetric 2x2 matrices. In this way we obtain nearly isotropic matrices representing colours and the structural advantage of transitivity. In numerical experiments we highlight some remarkable properties of the proposed approach.
In this paper, an approach to propulsion system modelling for hybrid-electric general aviation aircraft is presented. Because the focus is on general aviation aircraft, only combinations of electric motors and reciprocating combustion engines are explored. Gas turbine hybrids will not be considered. The level of the component's models is appropriate for the conceptual design stage. They are simple and adaptable, so that a wide range of designs with morphologically different propulsive system architectures can be quickly compared. Modelling strategies for both mass and efficiency of each part of the propulsion system (engine, motor, battery and propeller) will be presented.
An application of a scanning light-addressable potentiometric sensor for label-free DNA detection
(2013)
Energy-efficient components do not automatically lead to energy-efficient systems. Technical Operations Research (TOR) shifts the focus from the single component to the system as a whole and finds its optimal topology and operating strategy simultaneously. In previous works, we provided a preselected construction kit of suitable components for the algorithm. This approach may give rise to a combinatorial explosion if the preselection cannot be cut down to a reasonable number by human intuition. To reduce the number of discrete decisions, we integrate laws derived from similarity theory into the optimization model. Since the physical characteristics of a production series are similar, it can be described by affinity and scaling laws. Making use of these laws, our construction kit can be modeled more efficiently: Instead of a preselection of components, it now encompasses whole model ranges. This allows us to significantly increase the number of possible set-ups in our model. In this paper, we present how to embed this new formulation into a mixed-integer program and assess the run time via benchmarks. We present our approach on the example of a ventilation system design problem.
Inhaltsverzeichnis: 4 Grußwort des Dekans [Prof. Dr.-Ing. Jürgen Kettern] 4 Grußwort des Sektionsleiters "Bau" des alfha.net [Dipl.-Ing. Walter Kleiker] 5 Referenten 10 Referate 10 Die Statik bleibt dynamisch ... : Beispiele der Schwingungsanfälligkeit von Brücken, Türmen und erdbebengefährdeten Gebäuden / Dipl.-Ing. Sebastian Gokus 12 Bau einer Biogasanlage / Dipl.-Ing. Michaela Schneider 16 Die neue Landmarke an der A4 / Dipl.-Ing. Franz-Josef Türck-Hövener 18 Technical Due Diligence Real Estate : Technische Immobilienbewertung zur Vorbereitung einer Immobilientransaktion - Eine Teilanalyse von Chancen und Risiken im Due Diligence Prozess / Dipl.-Ing. Architektin Ebru Baykal M.Eng. 20 Die Deutsche Botschaft Kabul wird saniert / Dipl.-Ing. Stefanie Milde 24 Abfluss- und Strukturverbesserung am Niederrhein : Ein hydraulischer Ansatz zur Vereinbarkeit von Hochwasserschutz und Strukturverbesserung / Dr.-Ing. Gesa Kutschera 26 Um- und Ausbau des Autobahnkreuzes Aachen / Dipl.-Ing. Dirk Gobbelé 30 Textilbewehrter Beton in Großprojekten am Beispiel einer Fußgängerbrücke / Dipl.-Ing. Andre Nacken 32 Kalkulation in der Bauindustrie / Dipl.-Ing. Alexander Spix 34 Phoenix-See Dortmund : Standort für die Zukunft / Dipl,-Ing. Stephan Bendel ; Dipl.-Ing. Sebastian Nyßen 38 alfha.net - Ein Verein stellt sich vor 39 Impressum
Inhaltsverzeichnis: Kettern, Jürgen : Grußwort des Dekans Kleiker, Walter : Grußwort des Sektionsleiters Bau des alpha.net Wijnhoven, Ralf : Bauausführung von 14 Brunnenanlagen und 4 km Rohrleitung zur Regelung des Grundwasserstandes und der Vorflut in Voerde-Mehrum. S. 10-11 Ruwisch, Thomas : Spurplanänderung im Bahnhof Düsseldorf-Gerresheim : Wusch, Planung, Planrecht und die Umwelt. S. 12-13. Rickes, Tanja : Bauablaufsteuerung einer Linienbaustelle am Beispiel des Fahrbahnbaus der "HSL-Zuid". S. 14-15. Plum, Andreas : Brandschutzingenieurwesen - Eine Ingenieurdisziplim hat die Akzeptanzschwelle überschritten. Teil 1: Brandsimulationsberechnung. S. 18-19 Flesch, Tobias : Brandschutzingenieurwesen - Eine Ingenieurdisziplin hat die Akzeptanzschwelle überschritten. Teil 2: Tragwerksbemessung im Brandfall. S. 20-21. Müller, Bert : Neubau für die Mediengruppe RTL-Deutschland - High-Tech in dankmalgeschützter Fassade. S. 24-25. Hermens, Gereon : Erhöhung der Akzeptanz von Wasserkraft durch den Bau von Fischaufstiegsanlagen: Umweltschonende Energie für Natur und Klima. S. 26-27 Klitzing, Bastian : Kläranlagenoptimierung : Zukunftsweisende Planungen im Bereich Abwasserreinigung und Energiegewinnung. S. 28-29. Ginster, Marco : Die neue Rheinbrücke Wesel. S. 32-33 Tilke, Hermann ; Wersch, Ralf van : Bauen für einen schnellen Sport. S. 34-35.
"Mit dem "1. Erfahrungsaustausch" im Fachbereich Bauingenieurwesen berichten Absolventen des Fachbereichs aus der Praxis. Mit diesem Treffen wird die wichtige Verbindung zwischen Hochschule, ihren Absolventen und der Berufspraxis zum besonderen Anliegen gemacht und besonders gestärkt." Zitat Prof. Dr.- Ing. Hans Boegershausen, Dekan im Grußwort. Referenten und Themen: Wellmann, Judith: Perspektiven eines Bauingenieurs im konstruktiven Ingenieurbau Dirk Gobbele, Dirk: Planung der Umbaumaßnahme Hauptbahnhof Aachen Kretschmann, Lars: Planung und Bauleitung Buschtunnel Aachen Becker, Astrid: Anlagenmanagement und Aufgaben der DB Netz AG, Bauherrenvertretung und Wirtschaftlichkeit Plenz, Michael: Baurevision und Unternehmensberatung, Tätigkeit als öffentlich bestellter und vereidigter Sachverständiger Klöcker, Alexander: Das Leitungsbauunternehmen – Unternehmerische Strategie als Zukunftssicherung Türk, Roman: Sanierung von Hausanschlüssen Bornebusch, Michael: Hydraulische und Hydrologische Modellsimulationen als Planungswerkzeug für Hochwasser-Schutz-Maßnahmen Himmerich, Jörg : Pipeline Integrity Management System – Probabilistische Bewertung von Bauwerken am Beispiel von Hochdruckleitungen.
Supervised machine learning and deep learning require a large amount of labeled data, which data scientists obtain in a manual, and time-consuming annotation process. To mitigate this challenge, Active Learning (AL) proposes promising data points to annotators they annotate next instead of a subsequent or random sample. This method is supposed to save annotation effort while maintaining model performance.
However, practitioners face many AL strategies for different tasks and need an empirical basis to choose between them. Surveys categorize AL strategies into taxonomies without performance indications. Presentations of novel AL strategies compare the performance to a small subset of strategies. Our contribution addresses the empirical basis by introducing a reproducible active learning evaluation (ALE) framework for the comparative evaluation of AL strategies in NLP.
The framework allows the implementation of AL strategies with low effort and a fair data-driven comparison through defining and tracking experiment parameters (e.g., initial dataset size, number of data points per query step, and the budget). ALE helps practitioners to make more informed decisions, and researchers can focus on developing new, effective AL strategies and deriving best practices for specific use cases. With best practices, practitioners can lower their annotation costs. We present a case study to illustrate how to use the framework.
Air-sand heat exchanger
(2011)
This paper primarily presents an aerodynamic CFD analysis of a winged spaceplane geometry based on the Japanese Space Walker proposal. StarCCM was used to calculate aerodynamic coefficients for a typical space flight trajectory including super-, trans- and subsonic Mach numbers and two angles of attack. Since the solution of the RANS equations in such supersonic flight regimes is still computationally expensive, inviscid Euler simulations can principally lead to a significant reduction in computational effort. The impact on accuracy of aerodynamic properties is further analysed by comparing both methods for different flight regimes up to a Mach number of 4.
The ANM’09 multi-disciplinary scientific program includes topics in the fields of "Nanotechnology and Microelectronics" ranging from "Bio/Micro/Nano Materials and Interfacing" aspects, "Chemical and Bio-Sensors", "Magnetic and Superconducting Devices", "MEMS and Microfluidics" over "Theoretical Aspects, Methods and Modelling" up to the important bridging "Academics meet Industry".
Integrated voice assistants (IVA) receive more and more attention and are widespread for entertainment use cases, such as radio hearing or web searches. At the same time, the health care segment suffers in process inefficiency and missing staff, whereas the usage of IVA has the potential to improve caring processes and patient satisfaction. By applying a design science approach and based on a qualitative study, we identify IVA requirements, barriers and design guidelines for the health care sector. The results reveal three important IVA functions: the ability to set appointments with care service staff, the documentation of health history and the communication with service staff. Integration, system stability and volume control are the most important nonfunctional requirements. Based on the interview results and project experiences, six design and implementation guidelines are derived.
The cooling process in induction based crucible melting furnaces for Industrial applications is one of the important and challenging factors in production and safety engineering. Accordingly, proper implementation of the cooling system of the furnace using optimum cooling guides and fail-safe features are critical in order to improve the safety of the process. Regarding this, manufacturing of porous material with high electrical isolation for the drainage segments of the cooling channels is examined in this study. Consequently, various geometries with different porosities using glass and ceramic powder are fabricated using Selective Laser Sintering (SLS) process. The manufactured parts are examined in a prototype furnace testing and the feasibility of the SLS manufacturing of parts for this application is discussed.
Industrie 4.0 stellt viele Herausforderungen an produzierende Unternehmen und ihre Beschäf-tigten. Innovative und effektive Trainingsstrategien sind erforderlich, um mit den sich schnell verändernden Produktionsumgebungen und neuen Fertigungstechnologien Schritt halten zu können. Virtual Reality (VR) bietet neue Möglichkeiten für On-the-Job, On-Demand- und Off-Premise-Schulungen. Diese Arbeit stellt ein neues VR Schulungssystem vor, welches sich flexible an unterschiedliche Trainingsobjekte auf Grundlage von Rezepten und CAD Modellen anpassen lässt. Das Konzept basiert auf gerichteten azyklischen Graphen und einem Level-system. Es ermöglicht eine benutzerindividuelle Lerngeschwindigkeit mittels visueller Ele-mente. Das Konzept wurde für einen mechanischen Anwendungsfall mit Industriekomponen-ten implementiert und in der Industrie 4.0-Modellfabrik der FH Aachen umgesetzt.
Adaptive logistics : information management for planning and control of small series assembly
(2007)
Adapting augmented reality systems to the users’ needs using gamification and error solving methods
(2021)
Animations of virtual items in AR support systems are typically predefined and lack interactions with dynamic physical environments. AR applications rarely consider users’ preferences and do not provide customized spontaneous support under unknown situations. This research focuses on developing adaptive, error-tolerant AR systems based on directed acyclic graphs and error resolving strategies. Using this approach, users will have more freedom of choice during AR supported work, which leads to more efficient workflows. Error correction methods based on CAD models and predefined process data create individual support possibilities. The framework is implemented in the Industry 4.0 model factory at FH Aachen.