Conference Proceeding
Refine
Year of publication
- 2024 (6)
- 2023 (30)
- 2022 (44)
- 2021 (50)
- 2020 (55)
- 2019 (91)
- 2018 (77)
- 2017 (86)
- 2016 (80)
- 2015 (92)
- 2014 (67)
- 2013 (77)
- 2012 (89)
- 2011 (76)
- 2010 (73)
- 2009 (85)
- 2008 (61)
- 2007 (67)
- 2006 (94)
- 2005 (37)
- 2004 (37)
- 2003 (40)
- 2002 (34)
- 2001 (23)
- 2000 (19)
- 1999 (17)
- 1998 (23)
- 1997 (12)
- 1996 (7)
- 1995 (6)
- 1994 (4)
- 1993 (11)
- 1992 (6)
- 1991 (3)
- 1990 (2)
- 1989 (6)
- 1988 (3)
- 1987 (1)
- 1986 (2)
- 1985 (5)
- 1984 (3)
- 1983 (3)
- 1981 (2)
- 1980 (1)
- 1979 (1)
- 1978 (3)
- 1977 (2)
- 1975 (3)
- 1974 (1)
- 1973 (3)
Document Type
- Conference Proceeding (1620) (remove)
Language
- English (1146)
- German (472)
- Multiple languages (1)
- Spanish (1)
Keywords
- Biosensor (25)
- Blitzschutz (15)
- CAD (11)
- Finite-Elemente-Methode (11)
- civil engineering (11)
- Bauingenieurwesen (10)
- Lightning protection (9)
- Einspielen <Werkstoff> (6)
- Telekommunikationsmarkt (6)
- shakedown analysis (6)
- Enterprise Architecture (5)
- Gamification (5)
- Graduiertentagung (5)
- Leadership (5)
- Clusterion (4)
- Energy storage (4)
- Führung (4)
- Kanalisation (4)
- Limit analysis (4)
- Natural language processing (4)
Institute
- Fachbereich Elektrotechnik und Informationstechnik (296)
- Fachbereich Energietechnik (259)
- Fachbereich Medizintechnik und Technomathematik (239)
- Fachbereich Maschinenbau und Mechatronik (207)
- Fachbereich Luft- und Raumfahrttechnik (203)
- Solar-Institut Jülich (167)
- IfB - Institut für Bioengineering (151)
- Fachbereich Bauingenieurwesen (137)
- Fachbereich Wirtschaftswissenschaften (68)
- ECSM European Center for Sustainable Mobility (57)
- INB - Institut für Nano- und Biotechnologien (52)
- MASKOR Institut für Mobile Autonome Systeme und Kognitive Robotik (48)
- Fachbereich Chemie und Biotechnologie (34)
- Nowum-Energy (22)
- Kommission für Forschung und Entwicklung (16)
- Fachbereich Architektur (13)
- ZHQ - Bereich Hochschuldidaktik und Evaluation (10)
- FH Aachen (7)
- Fachbereich Gestaltung (4)
- IaAM - Institut für angewandte Automation und Mechatronik (3)
Harte Echtzeit für Windows
(1999)
10 Regeln für das Desaster
(2001)
Objekt-orientierte Modellierung hybrider Systeme mit heuristischen und analytischen Merkmalen
(1994)
Wireless systems for machinery safety : Requirements and solutions for wireless real time systems
(2015)
Dr.-Ing. Martin Wolf ; Dipl.-Kaufm. Daniel Ulbrich , Dr. Pecher und Partner Ingenieurgesellschaft mbH, München. 31 S. (S. 139-168). Beitrag zum 1. Aachener Softwaretag in der Wasserwirtschaft < 1, 2007, Aachen>. Zusammenfasung [der Autoren] Die öffentlichen Kanalnetze Deutschlands stellen mit einem Wert von rd. 330 Mrd. € ein enormes Anlagevermögen dar. Auf Grund des oft schlechten Zustandes und geringer Ausgaben zur Instandhaltung und Erneuerung ist zu erwarten, dass durch die gegenwärtige Sanierungspraxis eher ein Substanzwertverzehr des Kanalnetzes als ein Substanzwerterhalt im Sinne des Generationenvertrages erzielt wird. Für einen nachhaltigen Betrieb und Erhalt der Kanalnetze sind deshalb Sanierungsstrategien erforderlich, die neben den technischen und gesetzlichen Anforderungen auch den mittel- und langfristigen Substanzwertverlauf berücksichtigen. Dieser wird beeinflusst vom erforderlichen oder durchgeführten Sanierungsumfang, Art und Zusammensetzung der ausgewählten Maßnahmen sowie der zeitlichen Abfolge der Sanierungsmaßnahmen. Erheblichen Einfluss auf den Substanzwertverlauf hat zudem die Berücksichtigung der hydraulischen Verhältnisse sowie der optisch nicht sichtbaren Undichtheiten. Entsprechend ist es erforderlich, die tatsächlich vorhandenen Defizite zu ermitteln und die Sanierungsmaßnahmen sowie eine Strategie zur Umsetzung zu erarbeiten. Da sich gezeigt hat, dass alleine die Einhaltung der technischen und gesetzlichen Anforderung für einen Substanzwerterhalt nicht ausreicht, muss die geplante Strategie im Dr.-Ing. Martin Wolf 139 von 170 Decision-Support-System kokas zur Sanierungsplanung und Strategieentwicklung 1. Aachener Softwaretag in der Wasserwirtschaft Hinblick auf die nachhaltige Wertentwicklung überprüft und ggf. Anpassungen vorgenommen werden. Kurzfristig erzielte Einsparungen durch reduzierten Schadensumfang oder einseitige Maßnahmenwahl ermöglichen zwar im günstigsten Fall, die Anforderungen einzuhalten, gehen jedoch zwangsläufig zu Lasten des Substanzwertes und führen mittel- und langfristig zu einer Verschärfung der Kosten- und Gebührensituation. Der monetäre, am konkreten Sanierungsaufwand orientierte Substanzwertansatz ermöglicht dabei, technische und kaufmännische Gesichtspunkte praxisnah zu verknüpfen und den bestmöglichen Ausgleich zwischen den gegenläufigen Zielen Substanzwerterhalt und Gebührenkonstanz zu finden.
Es existieren verschiedenste Arten von Spielen, die versuchen, die Motivation einer Spielsituation in einen ernsten Kontext zu überführen. In diesem Artikel wird der Überbegriff „Competence Developing Games“ definiert und anhand von Beispielen erläutert. Dafür werden Erkennungskriterien vorgestellt, entsprechende Spieltypen erläutert und eine Zuordnung durch-geführt.
In this paper, the use of reinforcement learning (RL) in control systems is investigated using a rotatory inverted pendulum as an example. The control behavior of an RL controller is compared to that of traditional LQR and MPC controllers. This is done by evaluating their behavior under optimal conditions, their disturbance behavior, their robustness and their development process. All the investigated controllers are developed using MATLAB and the Simulink simulation environment and later deployed to a real pendulum model powered by a Raspberry Pi. The RL algorithm used is Proximal Policy Optimization (PPO). The LQR controller exhibits an easy development process, an average to good control behavior and average to good robustness. A linear MPC controller could show excellent results under optimal operating conditions. However, when subjected to disturbances or deviations from the equilibrium point, it showed poor performance and sometimes instable behavior. Employing a nonlinear MPC Controller in real time was not possible due to the high computational effort involved. The RL controller exhibits by far the most versatile and robust control behavior. When operated in the simulation environment, it achieved a high control accuracy. When employed in the real system, however, it only shows average accuracy and a significantly greater performance loss compared to the simulation than the traditional controllers. With MATLAB, it is not yet possible to directly post-train the RL controller on the Raspberry Pi, which is an obstacle to the practical application of RL in a prototyping or teaching setting. Nevertheless, RL in general proves to be a flexible and powerful control method, which is well suited for complex or nonlinear systems where traditional controllers struggle.
Entwicklung einer Qualitätssicherung für das Laserstrahlschweißen im Vakuum mittels Bildverarbeitung
(2019)
In this article we describe an Internet-of-Things sensing device with a wireless interface which is powered by the oftenoverlooked harvesting method of the Wiegand effect. The sensor can determine position, temperature or other resistively measurable quantities and can transmit the data via an ultra-low power ultra-wideband (UWB) data transmitter. With this approach we can energy-self-sufficiently acquire, process, and wirelessly transmit data in a pulsed operation. A proof-of-concept system was built up to prove the feasibility of the approach. The energy consumption of the system is analyzed and traced back in detail to the individual components, compared to the generated energy and processed to identify further optimization options. Based on the proof-of-concept, an application demonstrator was developed. Finally, we point out possible use cases.
Concept, scientific research and managerial applications of Provocative Coaching, according to the „Provocative Therapy“ of Prof. Dr. Frank Farrelly (University of Wisconsin, U.S.A) in terms of an application of the Provocative Communication Style in specific situations of practical leadership, especially in the role of a coach for their subordinates.
O Perfil Reiss apresenta no resultado uma visão da estrutura dos motivos e impulsos de uma pessoa. O ponto de saída para a análise do resultado é o conhecimento de que os motivos vitais (= valores e metas de sobrevivência) formam a moldura, na qual as competências e capacidades que uma pessoa possui possam se desabrochar de forma ideal. A partir desse princípio, não existe no Perfil Reiss nenhum resultado que se possa classificar como correto ou falso, nem como bom ou mau. Uma comparação entre o resultado do Perfil Reiss e o conteúdo de uma atividade apresentada ou ambicionada dá informação sobre até que ponto a capacidade de rendimento de uma pessoa nessa posição pode vir ou virá a se desenvolver por um longo tempo.
Kompakter Aufbau eines lichtadressierbaren potentiometrischen Sensors mit verfahrbarem Diodenlaser
(2011)
A capacitive electrolyte-insulator-semiconductor (EISCAP) biosensor modified with Tobacco mosaic virus (TMV) particles for the detection of acetoin is presented. The enzyme acetoin reductase (AR) was immobilized on the surface of the EISCAP using TMV particles as nanoscaffolds. The study focused on the optimization of the TMV-assisted AR immobilization on the Ta 2 O 5 -gate EISCAP surface. The TMV-assisted acetoin EISCAPs were electrochemically characterized by means of leakage-current, capacitance-voltage, and constant-capacitance measurements. The TMV-modified transducer surface was studied via scanning electron microscopy.
In the Laser Powder Bed Fusion (LPBF) process, parts are built out of metal powder material by exposure of a laser beam. During handling operations of the powder material, several influencing factors can affect the properties of the powder material and therefore directly influence the processability during manufacturing. Contamination by moisture due to handling operations is one of the most critical aspects of powder quality. In order to investigate the influences of powder humidity on LPBF processing, four materials (AlSi10Mg, Ti6Al4V, 316L and IN718) are chosen for this study. The powder material is artificially humidified, subsequently characterized, manufactured into cubic samples in a miniaturized process chamber and analyzed for their relative density. The results indicate that the processability and reproducibility of parts made of AlSi10Mg and Ti6Al4V are susceptible to humidity, while IN718 and 316L are barely influenced.
Flow separation is a phenomenon that occurs in all kinds of supersonic nozzles sometimes during run-up and shut-down operations. Especially in expansion nozzles of rocket engines with large area ratio, flow separation can trigger strong side loads that can damage the structure of the nozzle. The investigation presented in this paper seeks to establish measures that may be applied to alter the point of flow separation. In order to achieve this, a supersonic nozzle was placed at the exit plane of the conical nozzle. This resulted in the generation of cross flow surrounding the core jet flow from the conical nozzle. Due to the entrainment of the gas stream from the conical nozzle the pressure in its exit plane was found to be lower than that of the ambient. A Cold gas instead of hot combustion gases was used as the working fluid. A mathematical simulation of the concept was validated by experiment. Measurements confirmed the simulation results that due to the introduction of a second nozzle the pressure in the separated region of the conical nozzle was significantly reduced. It was also established that the boundary layer separation inside the conical nozzle was delayed thus allowing an increased degree of overexpansion. The condition established by the pressure measurements was also demonstrated qualitatively using transparent nozzle configurations.
Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling
(2019)
Manufacturing Process Simulation for the Prediction of Tool-Part-Interaction and Ply Wrinkling
(2015)
Aim of the AXON2 project (Adaptive Expert System for Object Recogniton using Neuml Networks) is the development of an object recognition system (ORS) capable of recognizing isolated 3d objects from arbitrary views. Commonly, classification is based on a single feature extracted from the original image. Here we present an architecture adapted from the Mixtures of Eaqerts algorithm which uses multiple neuml networks to integmte different features. During tmining each neural network specializes in a subset of objects or object views appropriate to the properties of the corresponding feature space. In recognition mode the system dynamically chooses the most relevant features and combines them with maximum eficiency. The remaining less relevant features arz not computed and do therefore not decelerate the-recognition process. Thus, the algorithm is well suited for ml-time applications.
The quest for life on other planets is closely connected with the search for water in liquid state. Recent discoveries of deep oceans on icy moons like Europa and Enceladus have spurred an intensive discussion about how these waters can be accessed. The challenge of this endeavor lies in the unforeseeable requirements on instrumental characteristics both with respect to the scientific and technical methods. The TRIPLE/nanoAUV initiative is aiming at developing a mission concept for exploring exo-oceans and demonstrating the achievements in an earth-analogue context, exploring the ocean under the ice shield of Antarctica and lakes like Dome-C on the Antarctic continent.
We report on the synthesis and CO gas-sensing properties of mesoporous tin(IV) oxides (SnO2). For the synthesis cetyltrimethylammonium bromide (CTABr) was used as a structure-directing agent; the resulting SnO2 powders were applied as films to commercially available sensor substrates by drop coating. Nitrogen physisorption shows specific surface areas up to 160 m2·g-1 and mean pore diameters of about 4 nm, as verified by TEM. The film conductance was measured in dependence on the CO concentration in humid synthetic air at a constant temperature of 300 °C. The sensors show a high sensitivity at low CO concentrations and turn out to be largely insensitive towards changes in the relative humidity. We compare the materials with commercially available SnO2-based sensors.
Andere Primärenergiequellen
(1974)
Modenfilter als Schalldämpfer für axiale Turbomaschinen : Möglichkeiten und Grenzen des Einsatzes
(1992)
The RoboCup Logistics League (RCLL) is a robotics competition in a production logistics scenario in the context of a Smart Factory. In the competition, a team of three robots needs to assemble products to fulfill various orders that are requested online during the game. This year, the Carologistics team was able to win the competition with a new approach to multi-agent coordination as well as significant changes to the robot’s perception unit and a pragmatic network setup using the cellular network instead of WiFi. In this paper, we describe the major components of our approach with a focus on the changes compared to the last physical competition in 2019.
Having well-defined control strategies for fuel cells, that can efficiently detect errors and take corrective action is critically important for safety in all applications, and especially so in aviation. The algorithms not only ensure operator safety by monitoring the fuel cell and connected components, but also contribute to extending the health of the fuel cell, its durability and safe operation over its lifetime. While sensors are used to provide peripheral data surrounding the fuel cell, the internal states of the fuel cell cannot be directly measured. To overcome this restriction, Kalman Filter has been implemented as an internal state observer.
Other safety conditions are evaluated using real-time data from every connected sensor and corrective actions automatically take place to ensure safety. The algorithms discussed in this paper have been validated thorough Model-in-the-Loop (MiL) tests as well as practical validation at a dedicated test bench.
Praktische Untersuchungen zum zeitlichen Übertragungs- und Bündelfehlerverhalten der IEEE 802.15.4
(2006)
Analysis of error and time behavior of the IEEE 802.15.4 PHY-layer in an industrial environment
(2006)
Turbulent dispersion in bounded horizontal jets : RANS capabilities and physical modeling comparison
(2016)
Air-water flows can be found in different engineering applications: from nuclear engineering to huge hydraulic structures. In this paper, a single tip fibre optical probe has been used to record high frequency (over 1 MHz) phase functions at different locations of a stepped spillway. These phase functions have been related to the interfacial velocities by means of Artificial Neural Networks (ANN) and the measurements of a classical double tip conductivity probe. Special attention has been put to the input selection and the ANN dimensions. Finally, ANN have shown to be able to link the signal rising times and plateau shapes to the air-water interfacial velocity.
Digital twins are seen as one of the key technologies of Industry 4.0. Although many research groups focus on digital twins and create meaningful outputs, the technology has not yet reached a broad application in the industry. The main reasons for this imbalance are the complexity of the topic, the lack of specialists, and the unawareness of the twin opportunities. The project "Digital Twin Academy" aims to overcome these barriers by focusing on three actions: Building a digital twin community for discussion and exchange, offering multi-stage training for various knowledge levels, and implementing realworld use cases for deeper insights and guidance. In this work, we focus on creating a flexible learning platform that allows the user to select a training path adjusted to personal knowledge and needs. Therefore, a mix of basic and advanced modules is created and expanded by individual feedback options. The usage of personas supports the selection of the appropriate modules.
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.