Fakultät IuI
Refine
Year of publication
Document Type
- Conference Proceeding (58) (remove)
Keywords
- LiDAR (3)
- Agile Lehre (2)
- Gazebo (2)
- Inverted Classroom (2)
- Power Consumption (2)
- Robot operating system (ROS) (2)
- Scrum (2)
- Simulation and Modeling (2)
- biogas (2)
- lab on a chip (2)
- mobile field laboratory (2)
- soil nutrients analysis (2)
- soil sampling (2)
- soil2data (2)
- AI compliance (1)
- AVB/TSN (1)
- Agile Didaktik (1)
- Agiles Lernen (1)
- Agricultural Automation (1)
- Agricultural streering system (1)
- Agriculture (1)
- Augmented data (1)
- BPMN (1)
- Bodennährstoffanalyse (1)
- Business Process Modeling (1)
- Computer-Human Interaction (1)
- DMN (1)
- DTNs (1)
- Decision support application (1)
- DiffServ (1)
- Digital (1)
- Digitalisierung Bodenbeprobung (1)
- Distributed Energy Management, Smart Grid, Privacy, Communication Performance, Robustness (1)
- Dynamic Adaptation (1)
- Dynamic Process Adaption (1)
- EDCA (1)
- Embedded Software Engineering (1)
- Embedded Systems (1)
- Energy Bug (1)
- Energy Efficiency (1)
- Erfolg (1)
- Ethernet (1)
- Ethical AI (1)
- Fahrerassistenzsysteme (1)
- Flipped Classroom (1)
- Future Skills (1)
- Gait Analysis (1)
- Getreideernte (1)
- HTML (1)
- Hybrid data (1)
- IEEE 802.1Q (1)
- ISFET measurement technology (1)
- ISFET-sensor module (1)
- Industry (1)
- Innovation (1)
- Innovationsmanagement (1)
- Internet of Things (1)
- Inverse Distance Weighting (1)
- Inverted Classroom Model (1)
- IoT (1)
- Kinematics Estimation (1)
- Kriging (1)
- Landmaschinenkommunikation (1)
- Language Extension (1)
- Law (1)
- LoRaWAN (1)
- MARTE (1)
- Marker-less Skeleton Tracking (1)
- Meta Modeling (1)
- Mobility (1)
- Model-Driven Development (1)
- OMNeT++ (1)
- OSM (1)
- OppNets (1)
- Orthopaedic Technical Support (1)
- Pflanzenmodelle (1)
- Pregnancy Loss (1)
- Process Robustness Verification (1)
- Prozessdaten (1)
- QoS (1)
- Reality gap (1)
- Rehabilitation, Person Tracking, Usability, Reliability (1)
- Reliable Communication (1)
- Simulation und Test (1)
- Smart Cities (1)
- Smart farming (1)
- Software Design Pattern (1)
- Synthetic data (1)
- Telecommunication networks (1)
- UML (1)
- Unreliable Communication Environments (1)
- Web (1)
- Web-Components (1)
- Web-Engineering (1)
- Wifi (1)
- agricultural vehicular network (1)
- automatisch generierte Düngeempfehlung (1)
- concept mobile field laboratory (1)
- cooperative busines models (1)
- design (1)
- digital farming (1)
- drivers and barriers (1)
- eye-tracking (1)
- field-lab (1)
- gPTP (1)
- green hydrogen (1)
- grief (1)
- hydrogen (1)
- ion-selective field effect transistors (ISFET) (1)
- miscarriage (1)
- mobile Fieldlab soil2data (1)
- mobiles Feldlabor soil2data (1)
- nutritional behavior (1)
- nutritional choices (1)
- prioritization (1)
- rBPMN (1)
- smart city; monitoring; plausibility; traffic data; time series; spatio-temporal; reasoning (1)
- social media (1)
- soil nutrient analysis (1)
- soil preparation for analysis (1)
- soil sensor (1)
- spatial resoning, distance algorithm, IoT, (1)
- time synchronization (1)
- tsn (1)
- wlan (1)
Institute
- Fakultät IuI (58)
- Fakultät AuL (1)
- Institut für Management und Technik (1)
For Delay-Tolerant Networks (DTNs) many routing algorithms have been suggested. However, their performance depends heavily on the applied scenario. Especially heterogeneous scenarios featuring known and unknown node movements as well as different kinds of data lead to either poor delivery ratios or exhausted network resources.
To overcome these problems this paper introduces Data-Driven Routing for DTNs. Data is categorized according to its requirements into priority queues. Each queue applies an appropriate DTN routing algorithm that fits the data requirements best. Simulation results show that Data-Driven Routing allows high delivery ratios for time-critical data while saving network resources during the transfer of less time-critical data at the same time.
Die Unterstützung des Maschinenführers auf der Landmaschine durch digitale Dienste nimmt immer stärker zu. Die Darstellungsmöglichkeiten sind jedoch auf die Größe der eingesetzten Terminals beschränkt. Um Sichteinschränkungen aus der Kabine durch zusätzliche Terminals zu vermeiden, ist der Einsatz von Augmented Reality sinnvoll. Hier lassen sich die vorhandenen Informationen statisch oder dynamisch in das Sichtfeld des Landwirts einblenden. Doch erst durch die in diesen Beitrag gezeigte Overlay Darstellungsebene mit integrierten Informationen lässt sich das Potenzial der Augmented Reality vollständig nutzen.
Compliance of agricultural AI systems : app-based legal verification throughout the development
(2024)
Significant advances in artificial intelligence (AI) have been achieved; however, practical implementation in agriculture remains limited. Compliance with emerging regulations, such as the EU AI Act and GDPR, is now vital, even for non-critical AI systems. Developers need tools to assess legal compliance, which is complex, often requiring full legal advice. To address this issue, we are developing a support app that simplifies the legal aspects of AI system development, covering the entire lifecycle, from conception to distribution. The current app, which covers the key legal area of copyright and will soon include GDPR and the AI Act, aims to bridge the gap between AI research and agriculture. An evaluation of our app by experts from both the legal and the IT domains shows that the app assists the developers so that they make legally correct statements. Consequently, it promotes legal compliance and awareness among developers, contributing to the seamless integration of AI into agriculture. The need for compliant AI systems in various industries, including agriculture, will only increase as regulations evolve.
Innerhalb eines Forschungsprojektes wurde ein Energiesystemoptimierungsmodell entwickelt, das mögliche Geschäftsmodelle als Weiterbetriebsoptionen für Biogasanlagen betrachtet. Insbesondere der Einfluss von fluktuierenden Strommarktpreisen und variierenden Treibhausgasquoten soll kritisch im innerdeutschen Kontext beleuchtet werden.
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.
Smart city applications in the Big Data era require not only techniques dedicated to dynamicity handling, but also the ability to take into account contextual information, user preferences and requirements, and real-time events to provide optimal solutions and automatic configuration for the end user. In this paper, we present a specific functionality in the design and implementation of a declarative decision support component that exploits contextual information, user preferences and requirements to automatically provide optimal configurations of smart city applications. The key property of user-centricity of our approach is achieved by enabling users to declaratively specify constraints and preferences on the solutions provided by the smart city application through the Decision Support component, and automatically map these constraints and preferences to provide optimal responses targeting user needs. We showcase the effectiveness and flexibility of our solution in two real usecase scenarios: a multimodal travel planner and a mobile parking application. All the components and algorithms described in this paper have been defined and implemented as part of the Smart City Framework CityPulse.
he development of context-aware applications is a difficult and error-prone task. The dynamics of the environmental context combined with the complexity of the applications poses a vast number of possibilities for mistakes during the creation of new applications. Therefore it is important to test applications before they are deployed in a life system. For this reason, this paper proposes a testing tool, which will allow for automatic generation of various test cases from application description documents. Semantic annotations are used to create specific test data for context-aware applications. A test case reduction methodology based on test case diversity investigations ensures scalability of the proposed automated testing approach.
Die Nutzung von Sensorsystemen bei der teilflächenspezifischen Bewirtschaftung eines Schlags steigert den Ertrag sowie die Wirtschaftlichkeit des Pflanzenanbaus. Dennoch tragen weitere Faktoren zur optimalen Nährstoffversorgung einer Pflanze bei, als sie von solch einem lokal arbeitenden System erfasst werden. Um die Effizienz dieser Precision Farming Systeme auszubauen ist der nächste, hier erfolgreich durchgeführte Schritt die Anbindung der mobilen Landmaschine über das Internet an eine regionsübergreifende Datenanalyseplattform und die Ausführung zeitkritischer Optimierungsfunktionen auf der Landmaschine.
Analysis of methods for prioritizing critical data transmissions in agricultural vehicular networks
(2020)
Applying wireless communication technologies to agricultural vehicular networks often results in high end-to-end delays and loss of packets due to intermittent or broken connectivity. This paper analyses the methods for the successful delivery of the vehicular data within acceptable delay times. Different kinds of data that are generated and transmitted in agricultural networks are considered in this paper, followed by the data prioritization methods which allow critical data to be prioritized against other data. In this regard, Enhanced Distributed Channel Access, Differentiated Services, and application-based data rate variation are discussed in conjunction with the Simple Network Management Protocol. These techniques are simulated or tested separately and then together and the results show that even in poor network conditions, high-prioritized data is not lost or delayed.