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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.
The impact of wake model effects is investigated for two highly
non-planar lifting systems. Dependent on the geometrical
arrangement of the configuration, the wake model shape is found
to considerably affect the estimation. Particularly at higher angles
of attack, an accurate estimation based on the common linear wake
model approaches is involved.
Ein vorausschauendes Risikomanagement beinhaltet, Risiken für das Unternehmen zu kalkulieren. Es liefert Entscheidungsgrundlagen, um diese Risiken zu begrenzen und es macht transparent, welche Risiken sinnvollerweise über Versicherungen abgedeckt werden sollten. Beim Versicherungsmanagement ist jedoch zu bedenken, dass zur Erreichung bestimmter Ziele Versicherungen nicht immer geeignet sind (z.B. Erhaltung der Lieferfähigkeit). Eintrittswahrscheinlichkeiten bestimmter Risiken lassen sich durch Versicherungen nicht verändern. Bei Unternehmen, die mit umfangreichen elektronischen Einrichtungen produzieren oder Dienstleistungen erbringen (und das sind heutzutage wohl die meisten), muss auch das Risiko durch Blitzeinwirkungen besondere Berücksichtigung finden. Dabei ist zu beachten, dass der Schaden aufgrund der Nicht-Verfügbarkeit der elektronischen Einrichtungen und damit der Produktion bzw. der Dienstleistung und ggf. der Verlust von Daten den Hardware-Schaden an der betroffenen Anlage oft bei weitem übersteigt. Im Blitzschutz gewinnt innovatives Denken in Schadensrisiken langsam an Bedeutung. Risikoanalysen haben die Objektivierung und Quantifizierung der Gefährdung von baulichen Anlagen und ihrer Inhalte durch direkte und indirekte Blitzeinschläge zum Ziel. Seinen Niederschlag hat dieses neue Denken in der neuen deutschen Vornorm DIN V 0185-2 VDE V 0185 Teil 2 [1] gefunden. Die hier vorgegebene Risikoanalyse gewährleistet, dass ein für alle Beteiligten nachvollziehbares Blitzschutz-Konzept erstellt werden kann, das technisch und wirtschaftlich optimiert ist, d.h. bei möglichst geringem Aufwand den notwendigen Schutz gewährleisten kann. Die sich aus der Risikoanalyse ergebenden Schutzmaßnahmen sind dann in den weiteren Normenteilen der neuen Reihe VDE V 0185 [2, 3] detailliert beschrieben.
An increasing number of applications target their executions on specific hardware like general purpose Graphics Processing Units. Some Cloud Computing providers offer this specific hardware so that organizations can rent such resources. However, outsourcing the whole application to the Cloud causes avoidable costs if only some parts of the application benefit from the specific expensive hardware. A partial execution of applications in the Cloud is a tradeoff between costs and efficiency. This paper addresses the demand for a consistent framework that allows for a mixture of on- and off-premise calculations by migrating only specific parts to a Cloud. It uses the concept of workflows to present how individual workflow tasks can be migrated to the Cloud whereas the remaining tasks are executed on-premise.
Dr.-Ing. Lothar Fuchs vom itwh Hannover mit 13 Seiten (S. 57-69) Beitrag zum 1. Aachener Softwaretag in der Wasserwirtschaft <1, 2007, Aachen> Zusammenfassung [des Autors] Die wesentlichen technischen Probleme der Kanalnetzbewirtschaftung sind gelöst. Der Markt bietet bewährte Messgeräte, Steuerungseinrichtungen, Datenübertragungs-, Regler- und Rechnersysteme, die sich für den Einsatz in der Stadtentwässerung eignen. Mit den heute existierenden Simulationsmodellen können die Auswirkungen von Bewirtschaftungssystemen abgeschätzt werden, bevor diese implementiert werden. Die für Bewirtschaftungssysteme notwendige Ausrüstung ist eine andere, als die traditionell in der Stadtentwässerung übliche. Sie erfordert in jedem Fall mehr und teureren Wartungsaufwand sowie anders ausgebildetes Personal. Bei einem Kostenvergleich mit konventionellen (d.h. ungesteuerten) Systemen muß die umfassende Information und Kontrolle des bewirtschafteten Systems berücksichtigt werden. Die permanente Information über den Betriebszustand sowie die in allen existierenden Bewirtschaftungssystemen erreichten Verminderungen von Regenentlastungen und (in geringerem Maße) hydraulischen Überlastungen lassen es geraten erscheinen, Kanalnetzbewirtschaftung nicht nur unter dem Gesichtspunkt der höheren Betriebskosten, sondern auch denen der möglich Einsparungen von Investitionen und der höheren Effizienz zu beurteilen. Analog lässt sich zeigen, dass bewirtschaftete Systeme kleiner ausgelegt werden können und dennoch die gleiche Effizienz besitzen wie größer dimensionierte, statisch wirkende Systeme.
Abstract des Beitrags zum 1. Aachener Softwaretag in der Wasserwirtschaft <1, 2007, Aachen> 1 S. : Bereits seit Jahrzehnten werden verschiedenste Injektions-Verfahren, welche teilweise aus den Vereinigten Staaten lizenziert wurden, in Deutschland angewendet, um Abwasserkanäle zu ertüchtigen. Die Resultate sind teilweise sehr umstritten, nicht zuletzt aufgrund unzureichender Materialeigenschaften in den Anfangsjahren der Anwendung. Viele Methoden sind darüber völlig aus dem Gebrauch gekommen und haben manchmal das ganze Verfahrensprinzip in Verruf gebracht. Mittlerweile wurden sowohl Verfahren als auch Materialien weiterentwickelt und sind nun in der Lage auch den aktuellen strengen und praxisnahen Testverfahren mittels Säuleninjektionsversuchen zur Beurteilung Umweltverträglichkeit zu genügen. Es wird ein kurzer Überblick über die derzeit am Markt befindlichen/üblichen Regelwerke, Verfahren und Materialien gegeben und die Grenzen und Möglichkeiten im Rahmen der Kanalsanierung aufgezeigt.
The fourth industrial revolution presents a multitude of challenges for industries, one of which being the increased flexibility required of manufacturing lines as a result of increased consumer demand for individualised products. One solution to tackle this challenge is the digital twin, more specifically the standardised model of a digital twin also known as the asset administration shell. The standardisation of an industry wide communications tool is a critical step in enabling inter-company operations. This paper discusses the current state of asset administration shells, the frameworks used to host them and their problems that need to be addressed. To tackle these issues, we propose an event-based server capable of drastically reducing response times between assets and asset administration shells and a multi-agent system used for the orchestration and deployment of the shells in the field.
In this paper we present SMART-FACTORY, a setup for a research and teaching facility in industrial robotics that is based on the RoboCup Logistics League. It is driven by the need for developing and applying solutions for digital production. Digitization receives constantly increasing attention in many areas, especially in industry. The common theme is to make things smart by using intelligent computer technology. Especially in the last decade there have been many attempts to improve existing processes in factories, for example, in production logistics, also with deploying cyber-physical systems. An initiative that explores challenges and opportunities for robots in such a setting is the RoboCup Logistics League. Since its foundation in 2012 it is an international effort for research and education in an intra-warehouse logistics scenario. During seven years of competition a lot of knowledge and experience regarding autonomous robots was gained. This knowledge and experience shall provide the basis for further research in challenges of future production. The focus of our SMART-FACTORY is to create a stimulating environment for research on logistics robotics, for teaching activities in computer science and electrical engineering programmes as well as for industrial users to study and explore the feasibility of future technologies. Building on a very successful history in the RoboCup Logistics League we aim to provide stakeholders with a dedicated facility oriented at their individual needs.
In this paper we report on an architecture for a self-driving car that is based on ROS2. Self-driving cars have to take decisions based on their sensory input in real-time, providing high reliability with a strong demand in functional safety. In principle, self-driving cars are robots. However, typical robot software, in general, and the previous version of the Robot Operating System (ROS), in particular, does not always meet these requirements. With the successor ROS2 the situation has changed and it might be considered as a solution for automated and autonomous driving. Existing robotic software based on ROS was not ready for safety critical applications like self-driving cars. We propose an architecture for using ROS2 for a self-driving car that enables safe and reliable real-time behaviour, but keeping the advantages of ROS such as a distributed architecture and standardised message types. First experiments with an automated real passenger car at lower and higher speed-levels show that our approach seems feasible for autonomous driving under the necessary real-time conditions.
A review of guidelines and best practices for subsonic aerodynamic simulations using RANS CFD
(2019)
A research framework for human aspects in the internet of production: an intra-company perspective
(2020)
Digitalization in the production sector aims at transferring concepts and methods from the Internet of Things (IoT) to the industry and is, as a result, currently reshaping the production area. Besides technological progress, changes in work processes and organization are relevant for a successful implementation of the “Internet of Production” (IoP). Focusing on the labor organization and organizational procedures emphasizes to consider intra-company factors such as (user) acceptance, ethical issues, and ergonomics in the context of IoP approaches. In the scope of this paper, a research approach is presented that considers these aspects from an intra-company perspective by conducting studies on the shop floor, control level and management level of companies in the production area. Focused on four central dimensions—governance, organization, capabilities, and interfaces—this contribution presents a research framework that is focused on a systematic integration and consideration of human aspects in the realization of the IoP.
A platform technology for the automated reaction control in magnetizable micro-fluidic droplets
(2014)
This paper addresses the pixel based classification of three dimensional objects from arbitrary views. To perform this task a coding strategy, inspired by the biological model of human vision, for pixel data is described. The coding strategy ensures that the input data is invariant against shift, scale and rotation of the object in the input domain. The image data is used as input to a class of self organizing neural networks, the Kohonen-maps or self-organizing feature maps (SOFM). To verify this approach two test sets have been generated: the first set, consisting of artificially generated images, is used to examine the classification properties of the SOFMs; the second test set examines the clustering capabilities of the SOFM when real world image data is applied to the network after it has been preprocessed to be invariant against shift, scale and rotation. It is shown that the clustering capability of the SOFM is strongly dependant on the invariance coding of the images.
A novel solar sterilization and water destillation system : experiment and thermodynamic analysis
(1991)
The determination of spacing, edge and end distance requirements for self-tapping screws requires numerous and comprehensive insertion tests. Yet the results of such tests cannot be transferred to other types of screws or even to screws of different diameter because of differences in shape or geometry. To reduce the effort of insertion tests a new method was developed which allows the estimation of required spacings, distances and timber thickness.
There are different types of games that try to make use of the motivation of a gaming situation in learning contexts. This paper introduces the new terminology ‘Competence Developing Game’ (CDG) as an umbrella term for all games with this intention. Based on this new terminology, an assessment framework has been developed and validated in scope of an empirical study. Now, all different types of CDGs can be evaluated according to a defined and uniform set of assessment criteria and, thus, are comparable according to their characteristics and effectiveness.
A New Class of Biosensors Based on Tobacco Mosaic Virus and Coat Proteins as Enzyme Nanocarrier
(2016)
A multi-functional device applying for the safe maintenance at high-altitude on wind turbines
(2015)
This article introduces a new maritime search and rescue system based on S-band illumination harmonic radar (HR). Passive and active tags have been developed and tested attached to life jackets and a rescue boat. This system was able to detect and range the active tags up to a range of 5800 m in tests on the Baltic Sea with an antenna input power of only 100 W. All electronic GHz components of the system, excluding the S-band power amplifier, were custom developed for this purpose. Special attention is given to the performance and conceptual differences between passive and active tags used in the system and integration with a maritime X-band navigation radar is demonstrated.
In addition to very high safety and reliability requirements, the design of internal combustion engines (ICE) in aviation focuses on economic efficiency. The objective must be to design the aircraft powertrain optimized for a specific flight mission with respect to fuel consumption and specific engine power. Against this background, expert tools provide valuable decision-making assistance for the customer. In this paper, a mathematical calculation model for the fuel consumption of aircraft ICE is presented. This model enables the derivation of fuel consumption maps for different engine configurations. Depending on the flight conditions and based on these maps, the current and the integrated fuel consumption for freely definable flight emissions is calculated. For that purpose, an interpolation method is used, that has been optimized for accuracy and calculation time. The mission boundary conditions flight altitude and power requirement of the ICE form the basis for this calculation. The mathematical fuel consumption model is embedded in a parent program. This parent program presents the simulated fuel consumption by means of an example flight mission for a representative airplane. The focus of the work is therefore on reproducing exact consumption data for flight operations. By use of the empirical approaches according to Gagg-Farrar [1] the power and fuel consumption as a function of the flight altitude are determined. To substantiate this approaches, a 1-D ICE model based on the multi-physical simulation tool GT-Suite® has been created. This 1-D engine model offers the possibility to analyze the filling and gas change processes, the internal combustion as well as heat and friction losses for an ICE under altitude environmental conditions. Performance measurements on a dynamometer at sea level for a naturally aspirated ICE with a displacement of 1211 ccm used in an aviation aircraft has been done to validate the 1-D ICE model. To check the plausibility of the empirical approaches with respect to the fuel consumption and performance adjustment for the flight altitude an analysis of the ICE efficiency chain of the 1-D engine model is done. In addition, a comparison of literature and manufacturer data with the simulation results is presented.
The high-level decision making process of an autonomous robot can be seen as an hierarchically organised entity, where strategical decisions are made on the topmost layer, while the bottom layer serves as driver for the hardware. In between is a layer with monitoring and reporting functionality. In this paper we propose a behaviour engine for this middle layer which, based on formalism of hybrid state machines (HSMs), bridges the gap between high-level strategic decision making and low-level actuator control. The behaviour engine has to execute and monitor behaviours and reports status information back to the higher level. To be able to call the behaviours or skills hierarchically, we extend the model of HSMs with dependencies and sub-skills. These Skill-HSMs are implemented in the lightweight but expressive Lua scripting language which is well-suited to implement the behaviour engine on our target platform, the humanoid robot Nao.
We propose a formalism for reasoning about actions based on multi-modal logic which allows for expressing observations as first-class objects. We introduce a new modal operator, namely [o |α], which allows us to capture the notion of perceiving an observation given that an action has taken place. Formulae of the type [o |α]ϕ mean ’after perceiving observation o, given α was performed, necessarily ϕ’. In this paper, we focus on the challenges concerning sensing with explicit observations, and acting with nondeterministic effects. We present the syntax and semantics, and a correct and decidable tableau calculus for the logic