openHSU – Research Showcase

4480
Research outputs
779
People
140
Organizational Units
108
Projects
31
Conferences
17
Journals
Recent Additions
  • Publication
    Metadata only
    Collision Avoidance and Optimization of Traffic Flow as an Approach for a Smart City Aalen, Germany
    (IEEE, 2024-01) ;
    Kirchheim, Alice
    ;
    Fong, Bernard
    In the last decades, road traffic significantly increased in many regions. As part of sustainable urban areas, the improvement of safety as well as the optimization of traffic flow are important challenges for road mobility. The new mobile communications standard 5G, which is currently being rolled out, is being promoted with a variety of improvements that also address the transport sector. As one component of a smart city approach, a proposed solution to increase road traffic safety and to optimize the traffic flow by means of using 5G is currently being developed and deployed in the city of Aalen, Germany, as part of the "5G-trAAffic" project.
  • Publication
    Open Access
    Developing high-capacity sustainable materials for hydrogen storage
    (UB HSU, 2024)
    Shang, Yuanyuan
    ;
    ;
    Helmut-Schmidt-Universität / Universität der Bundeswehr Hamburg
    ;
    Pundt, Astrid
    ;
    In this thesis, the development of sustainable materials for hydrogen storage is studied. Four model types of hydrogen storage materials are included in this work, which are the complex metal hydride NaAlH₄, solid solution room temperature FeTi alloys, compositionally complex alloys (CCAs), and the reactive hydrides composite (RHC) 2NaBH₄ + MgH₂. The first part of this thesis focuses on developing a complex metal hydride of NaAlH₄ by using waste Al alloy as raw material. The synthesised less pure NaAlH₄ exhibits good reversible hydrogen capacity, whereas the pure NaAlH₄ is not reversible. The second part of this thesis is devoted to developing a FeTi-based metal hydride by using waste steel and Ti alloy scraps as raw materials. Astonishingly, at 50 °C and 100 bar of H₂, the hydrogen storage capacities measured for the FeTi alloys synthesised from recycled scraps are extremely close to the value measured for the pure FeTi. In the third part of this thesis, the hydrogen storage properties of some CCAs are investigated, which further helps in screening the suitable types of waste metal alloys to be used as raw materials. With the synthesised hydrogen storage materials, the main issues are kinetic and thermodynamic tuning. The selected waste steels, Ti alloys, Mg alloys, and Al alloys, are just examples of the vast variety of scrap materials potentially useful for synthesising sustainable hydrogen storage materials. In addition, the influence of single impurities cannot be distinguished. Therefore, the RHC system of 2NaBH₄ + MgH₂ was chosen as a model system to study the effects of well-defined additives on hydrogen storage performances, as can be seen in the last part of this thesis. This work shows that by using waste metal scraps instead of high-purity elements as raw materials, the carbon footprint and costs are tremendously reduced for producing hydrogen storage materials without deteriorating the hydrogen storage properties. This work opens a new path to the development of environmentally sustainable alloys for hydrogen storage purposes.
  • Publication
    Metadata only
    Concept for a Real-Time IoT-Architecture for Collision Avoidance in Smart Cities based on the 5G Mobile Technology
    (IEEE, 2023) ;
    Mousavi, Mohammad Reza
    ;
    Trautwein, Ingo
    ;
    Freymann, Andreas
    ;
    Beutelspacher, Christoph
    ;
    Nehrke, Lara
    ;
    Ludwig, Stephan
    ;
    Kirchheim, Alice
    Road traffic significantly increased in the last decades. The avoidance of accidents and the continuity of traffic flow are significant challenges for road mobility. In this paper, a real-time Internet of Things (IoT) architecture is presented for these current road traffic challenges. The presented architecture takes advantage of the emerging 5G mobile technology and relies on infrastructure components so that the presented architecture can be integrated into city infrastructure to become smarter and provide benefits to citizens. A collision warning service is being implemented to warn road users of imminent collisions. The parallel traffic flow optimization will also enable the prioritization of highlighted traffic partici-pants, such as emergency vehicles. By prioritizing pedestrians, bicycles, e-bikes and buses, for example, it will also be possible to achieve specific traffic and climate policy goals. An according smartphone app allows the resulting advantages to be used in the short term. Furthermore, additional actuators such as displays and signal transmitters will integrate all road users, regardless of the specific app usage. By using 5G, these components will also be implemented quickly, flexibly and reliably as infrastructure IoT devices. The paper concludes with a presentation of a research project in which these solutions are currently being implemented.
  • Publication
    Metadata only
    An Analysis of Rolling Horizon Multi-Agent Path Finding in Robotic Sorting Systems
    (IEEE, 2023-09)
    Hein, Benedikt
    ;
    ;
    Kirchheim, Alice
    The growth of parcel shipments for end-customer delivery led to the emergence of robotic sorting systems, which offer improved flexibility and cost-effectiveness compared to conveyor-based sorting systems. Controlling large fleets of mobile robots for sorting tasks remains a challenge, as it requires solving a complex multi-agent path finding problem. One possible solution is the recently introduced rolling horizon collision resolution framework, which is actively discussed in the literature. However, its configuration to suit robotic sorting systems concerning real-time capabilities and throughput is still the object of ongoing investigation. To address this research gap, this study investigates the application of the rolling horizon collision resolution framework on two types of robotic sorting systems and a parameter study is conducted to assess its potential in terms of real-time capability and sorting performance.
  • Publication
    Metadata only
    Zur Psychologie der Ästhetik
    (Theater der Zeit, 2009)
    Jacobsen, Thomas 
  • Publication
    Unknown
    Cognitive vs. affective listening modes and judgments of music
    (Elsevier Science, 2010)
    Brattico, Elvira
    ;
    Jacobsen, Thomas 
    ;
    De Baene, Wouter
    ;
    Glerean, Enrico
    ;
    Tervaniemi, Mari
    The neural correlates of processing deviations from Western music rules are relatively well known. Less is known of the neural dynamics of top-down listening modes and affective liking judgments in relation with judgments of tonal correctness. In this study, subjects determined if tonal chord sequences sounded correct or incorrect, or if they liked them or not, while their electroencephalogram (EEG) was measured. The last chord of the sequences could be congruous with the previous context, ambiguous (unusual but still enjoyable) or harmonically inappropriate. The cognitive vs. affective listening modes were differentiated in the event-related potential (ERP) responses already before the ending chord, indicating different preparation for the judgment tasks. Furthermore, three neural events tagged the decision process preceding the behavioral responses. First, an early negativity, peaking at about 280 ms, was elicited by chord incorrectness and by disliking judgments only over the right hemisphere. Second, at about 500 ms from the end of the sequence a positive brain response was elicited by the negative answers of both tasks. Third, at about 1200 ms, a late positive potential (LPP) was elicited by the liking judgment task whereas a large negative brain response was elicited by the correctness judgment task, indexing that only at that late latency preceding the button press subjects decided how to judge the cadences. This is the first study to reveal the dissociation between neural processes occurring during affective vs. cognitive listening modes and judgments of music.
  • Publication
    Unknown
    Differences in processing violations of sequential and feature regularities as revealed by visual event-related brain potentials
    (Elsevier, 2010)
    Bubic, Andreja
    ;
    Bendixen, Alexandra
    ;
    Schubotz, Ricarda I.
    ;
    Jacobsen, Thomas 
    ;
    Schröger, Erich
    Identifying novel or unexpected events which violate predictions based on the regularities extracted from our environment is crucially important for adaptive behavior. However, the exact dynamics of processing such events is not well understood. Furthermore, it is not known in which degree the process of deviant detection differs across contexts and how much it depends on the characteristics of deviant events. This issue was addressed by the present study which used event-related potentials (ERPs) in order to investigate the dynamics of identifying two types of deviants presented within the same visual setting. These events violated expectations based on two different types of information contained within each trial, either temporal order of stimulus presentation (sequential deviant) or physical attributes shared by the majority of individual stimuli (feature deviant). The obtained results indicate a certain degree of similarity in detecting two deviant types which, when task-relevant, both elicited N2 and P3b event-related potential components. However, significant differences across different stages of their processing were also identified. First, only feature, but not sequential deviants elicited an N1 enhancement. Furthermore, N2 and P3b responses elicited by sequential and feature deviants differed in their latency and topography and, in case of P3b, amplitude. Taken together, these results suggest that the dynamics of detecting different types of deviants strongly depends on the specific characteristics of such events. Furthermore, the identified differences in the topography of N2 and P3b indicate distinct mechanisms underlying several stages of their processing.