Refine
Year of publication
Document Type
- Conference Proceeding (58)
- Article (16)
- Book (6)
- Working Paper (5)
- Part of a Book (2)
- Bachelor Thesis (1)
- Doctoral Thesis (1)
- Moving Images (1)
- Other (1)
- Part of Periodical (1)
Keywords
- Inverted Classroom (4)
- LiDAR (3)
- Scrum (3)
- Agile Lehre (2)
- Future Skills (2)
- Gazebo (2)
- Kugelstrahlen (2)
- Materialermüdung (2)
- Power Consumption (2)
- Robot operating system (ROS) (2)
Institute
- Fakultät IuI (93) (remove)
In modern times, closed-loop control systems (CLCSs) play a prominent role in a wide application range, from production machinery via automated vehicles to robots. CLCSs actively manipulate the actual values of a process to match predetermined setpoints, typically in real time and with remarkable precision. However, the development, modeling, tuning, and optimization of CLCSs barely exploit the potential of artificial intelligence (AI). This paper explores novel opportunities and research directions in CLCS engineering, presenting potential designs and methodologies incorporating AI. Combining these opportunities and directions makes it evident that employing AI in developing and implementing CLCSs is indeed feasible. Integrating AI into CLCS development or AI directly within CLCSs can lead to a significant improvement in stakeholder confidence. Integrating AI in CLCSs raises the question: How can AI in CLCSs be trusted so that its promising capabilities can be used safely? One does not trust AI in CLCSs due to its unknowable nature caused by its extensive set of parameters that defy complete testing. Consequently, developers working on AI-based CLCSs must be able to rate the impact of the trainable parameters on the system accurately. By following this path, this paper highlights two key aspects as essential research directions towards safe AI-based CLCSs: (I) the identification and elimination of unproductive layers in artificial neural networks (ANNs) for reducing the number of trainable parameters without influencing the overall outcome, and (II) the utilization of the solution space of an ANN to define the safety-critical scenarios of an AI-based CLCS.
While developing traffic-based cognitive enhancement technology (CET), such as bike accident prevention systems, it can be challenging to test and evaluate them properly. After all, the real-world scenario could endanger the subjects’ health and safety. Therefore, a simulator is needed, preferably one that is realistic yet low cost. This paper introduces a way to use the video game Grand Theft Auto V (GTA V) and its sophisticated traffic system as a base to create such a simulator, allowing for the safe and realistic testing of dangerous traffic situations involving cyclists, cars, and trucks. The open world of GTA V, which can be explored on foot and via various vehicles, serves as an immersive stand-in for the real world. Custom modification scripts of the game give the researchers control over the experiment scenario and the output data to be evaluated. An off-the-shelf bicycle equipped with three sensors serves as a realistic input device for the subject’s movement direction and speed. The simulator was used to test two early-stage CET concepts enabling cyclists to sense dangerous traffic situations, such as trucks approaching from behind the cyclist. Thus, this paper also presents the user evaluation of the cycling simulator and the CET used by the subjects to sense dangerous traffic situations. With the knowledge of the first iteration of the user-centered design (UCD) process, this paper concludes by naming improvements for the cycling simulator and discussing further research directions for CET that enable users to sense dangerous situations better.
Die Maschine ist in der Lage faserverstärkte thermoplastische Kunststoffrohre herzustellen. Entwickelt und konstruiert wurde die Maschine als Open Source Hardware Projekt. Das bedeutet die Baupläne und Zeichnungen werden frei zur Verfügung gestellt. Heimwerker und andere Interessierte sollen dadurch die Möglichkeit bekommen faserverstärkte Rohre eigenständig und günstig herzustellen. Die Entwicklung und Konstruktion der Wickelmaschine ist das Ergebnis einer Masterarbeit an der Hochschule Osnabrück.
Innovationen sind die stärksten Gestaltungsfaktoren für eine neue vielversprechende Zukunft, da sie die wichtigsten Treiber für Wachstum und Ertrag in unserer Wirtschaft sind. Die aktuelle Zeitenwende zeigt uns sehr deutlich, dass wir ohne Innovationen bzw. Veränderungen und Anpassungen kaum noch wettbewerbsfähig bleiben, sowohl als Nation bzw. als Gesellschaft und insbesondere als Unternehmen.
Die hohe Dynamik und Komplexität der wirtschaftlichen und sozialen Prozesse setzt neue Maßstäbe an die Innovationsstrategien von Institutionen und Unternehmen.
Neue Technologien, neue Märkte, neues Kundenverhalten und der stetige Wandel sowohl in der Arbeitswelt als auch in unserem gesellschaftlichen Umfeld, wie z.B. die Digitalisierung, zeigen uns, dass allein eine Produktinnovation als solche heute nicht mehr ausreicht. Unter den genannten Randbedingungen müssen Innovationen auch in der Gestaltung von Geschäftsprozessen und Realisierung der "Work-Life-Balance" neu erdacht bzw. überprüft werden.
Der Vorsprung innovativer Produkte im viralen Wettbewerb ist oft nur kurz. Ein ganzheitliches Innovationsmanagement hat alle Bereiche des Unternehmens einzubeziehen und führt zu neuen Geschäftsmodellen, die etablierte Geschäftspraktiken verdrängen, ebenso tauchen durch neue Technologien in immer stärkerem Maße neue Anbieter auf, die die Spielregeln in den Märkten verändern.
Der 1. Deutsche Innovations-Kongress will Impulse setzen, Best-Practice-Modelle als Vorbilder anbieten und im Austausch zwischen den Referent*innen und den Teilnehmer*innen neue Wege bzw. Perspektiven eröffnen.
Wir freuen uns auf alle Teilnehmer*innen und den Erfahrungsaustausch, um aktuelle und nachhaltige Innovations-Impulse zu setzen und neue Wege erfolgversprechende Wege zu beschreiben, womit die bereits fruchtbaren Kooperationen zwischen Wirtschaft und Wissenschaft im Großraum Osnabrück noch weiter belebt werden soll.
Aktuell tragen auch 8 Studierendengruppen des Masterstudiengangs "Entwicklung und Produktion" der Hochschule Osnabrück in der Fakultät I u. I im Rahmen des Moduls "Innovationsmanagement" in Kooperation mit Unternehmen aus der Region durch die Entwicklung neuer innovativer Produkte zum Erfolg des Kongresses bei. Die Zwischenergebnisse dazu werden in einer Poster-Ausstellung präsentiert. Die Innovationsprojekte werden unter der Leitung von Prof. Dr. Jens Schäfer durchgeführt.
Bamboo is an environmentally friendly alternative to conventional materials in mechanical engineering such as steel or aluminium. Bamboo is the fastest growing plant in the world. Instead of releasing CO2 during the manufacturing process, bamboo absorbs CO2 as it grows.
In addition to the sustainability aspect, bamboo tubes also offer excellent properties as a lightweight construction material, which have been optimised through evolution. Bamboo tubes have high strength and stiffness at low weight when used as tension-compression bars or bending beams. Bamboo has strong, high-density fibres at the boundary area, where bending stresses are greatest. Towards the inside, where the stresses are lower, the bamboo becomes porous to optimise weight. This, together with knots arranged in regular intervals, counteracts buckling.
In mobile applications such as cars and bicycles, lightweight construction is sought for energy efficiency reasons. Because of its excellent lightweight properties, the project investigated whether bamboo could be used in mobile, automotive or agricultural engineering. For example, a bamboo bicycle frame has been developed with the aim to be as light as possible. There are bamboo bicycles on the market, but they can only be made one at a time by hand. The bamboo tubes are joined together and functional elements such as the bottom bracket and headset are integrated by wrapping them in resin-impregnated natural or carbon fibres. This makes the joints very heavy. A different approach is taken here: the bamboo tubes are drilled out slightly to achieve a defined internal diameter, and then short aluminium tubes are glued into the bamboo canes from the inside. To prevent the cane from breaking in the circumferential direction, i.e. perpendicular to the fibre direction, the bamboo tubes are wrapped in a thin layer of natural or carbon fibre impregnated with synthetic resin. The aluminium tubes and functional elements are welded or soldered together beforehand.
The design of the bicycle frame, i.e. the dimensioning of the bamboo tubes and joints, was based on extensive bending and tensile tests to determine the strength properties of the natural material bamboo. The bonding between the bamboo cane and the aluminium tube was also investigated experimentally. Finally, several prototype bicycle frames were made and tested for durability according to DIN-EN-14764. The frames passed the tests.
The result is a bamboo bicycle that is manufactured with standardised connectors and joints. The assembly concept developed allows both fully automated and semi-automated series production of bamboo bicycles.
With the increasing size and complexity of embedded systems, the impact of software on energy consumption is becoming more important. Previous research focused mainly on energy optimization at the hardware level. However, little research has been carried out regarding energy optimization at the software design level. This paper focuses on the software design level and addresses the gap between software and hardware design for embedded systems. This is achieved by proposing a framework for software design patterns, which takes aspects of power consumption and time behavior of the hardware level into account. We evaluate the expressiveness of the framework by applying it to well-known and novel design patterns. Furthermore, we introduce a dimensionless numerical efficiency factor to make possible energy savings quantifiable.
Due to the resource-constrained nature of embedded systems, it is crucial to support the estimation of their power consumption as early in the development process as possible. Non-functional requirements based on power consumption directly impact the software design, e.g., watt-hour thresholds and expected lifetimes based on battery capacities. Even if software affects hardware behavior directly, these types of requirements are often overlooked by software developers because they are commonly associated with the hardware layer. Modern trends in software engineering such as Model-Driven Development (MDD) can be used in embedded software development to evaluate power consumption-based requirements in early design phases. However, power consumption aspects are currently not sufficiently considered in MDD approaches. In this paper, we present a model-driven approach using Unified Modeling Language profile extensions to model hardware components and their power characteristics. Software m odels are combined with hardware models to achieve a system-wide estimation, including peripheral devices, and to make the power-related impact in early design stages visible. By deriving energy profiles, we provide software developers with valuable feedback, which may be used to identify energy bugs and evaluate power consumption-related requirements. To demonstrate the potential of our approach, we use a sensor node example to evaluate our concept and to identify its energy bugs.
Power consumption has become a major design constraint, especially for battery-powered embedded systems. However, the impact of software applications is typically considered in later phases, where both software and hardware parts are close to their finalization. Power-related issues must be detected in early stages to keep the development costs low, satisfy time-to-market, and avoid cost-intensive redesign loops. Moreover, the variety of hardware components, architectures, and communication interfaces make the development of embedded software more challenging. To manage the complexity of software applications, approaches such as model-driven development (MDD) may be used. This article proposes a power-estimation approach in MDD for software application models in early development phases. A unified modeling language (UML) profile is introduced to model power-related properties of hardware components. To determine the impact of software applications, we defined two analysis methods using simulation data and a novel in-the-loop concept. Both methods may be applied at different development stages to determine an energy trace, describing the energy-related behavior of the system. A novel definition of energy bugs is provided to describe power-related misbehavior. We apply our approach to a sensor node example, demonstrate an energy bug detection, and compare the runtime and accuracy of the analysis methods.