Repository der Technischen Hochschule Ingolstadt
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GANterfactual-RL: Understanding Reinforcement Learning Agents’ Strategies through Visual Counterfactual Explanations
Towards Demystifying Subliminal Persuasiveness: Using XAI-Techniques to Highlight Persuasive Markers of Public Speeches
Cause-Effect Chain-Based Diagnosis of Automotive On-Board Energy Systems
This summary refers to the paper Cause-Effect Chain-Based Diagnosis of Automotive On-Board Energy Systems [KSL24]. This paper has been published in the Proceedings of the 18th European Conference on Software Architecture, ECSA 2024 in September 2024
An exploration on the effectiveness of face-to-face and virtual meetings in educational projects dealing with impact innovation
Which is the most effective format for meetings in a project dealing with impact innovation? This paper presents the results of a survey amongst 42 business school students experiencing face-to-face or virtual meetings during their MBA classes. Qualitative interviews and a personality test clarify the results. A significant majority of students rated face-to-face meetings as more effective for the ideation phase of the projects, which contains predominantly brainstorming. The results show no clear tendency for the phase of research and preparation for the final assignment as well as for a written report. For presentations, the majority considers face-to-face meetings as more effective
Do internal foresight activities add value to decision-making? Insights from an empirical investigation
In a large empirical investigation of 400 managers in large U.S. and European corporations, we shed light on the effects of internal strategic foresight activities for decision-making, asking whether and how firms’ internal foresight activities add value to their decision-making. Enabling and supporting strategy conversations is conceptualized here as a central activity of strategic foresight. Our empirical investigation demonstrates that internal foresight activities have a significant and positive effect on strategy conversations within a firm. Against the assumptions of previous research, however, we cannot confirm the positive influence of strategy conversations in general on challenging the status quo in a firm or the overall helpfulness of strategic foresight activities in the context of decision-making. Future research should delve deeper into organizational studies to gain a more nuanced understanding of the processes and factors influencing future-oriented decision-making, as well as identifying key enablers that facilitate these decisions
The Potential of Virtual Reality for Immersive HCI Education: Insights from an Empirical Study
Supervised Anomaly Detection for Production Line Images using Data Augmentation and Convolutional Neural Network
Optimizing Feedstock Selection for Sustainable Small-Scale Biogas Systems Using the Analytic Hierarchy Process
Small-scale biogas systems can play a pivotal role in sustainable energy provision, particularly in developing countries. However, their dependence on livestock manure as the only feedstock poses challenges to their adoption and long-term viability. This often leads to insufficient biogas production and plant abandonment. This study proposes co-digestion of livestock manure with other farm residues to enhance the technical sustainability of small-scale biogas systems by ensuring adequate and consistent biogas production throughout the plant’s lifespan, minimizing the risks associated with reliance on a single feedstock. A novel feedstock selection approach is developed using the Analytic Hierarchy Process (AHP), a multicriteria decision-making method, to prioritize feedstocks based on adequacy, supply consistency, and logistical ease. AHP is chosen due to its capability to handle both quantitative and qualitative evaluation criteria. This approach is applied to the Fès-Meknès region of Morocco, which offers abundant livestock and crop residues alongside product utilization pathways. The prioritization and ranking of the potential feedstocks identified in the region reveals cattle manure as the top-ranked feedstock due to its consistent supply and ease of collection, followed by straw, valued for its storability and nutrient stability. Sheep, horse, and chicken manure ranked third, fourth, and fifth, respectively, while household food waste and fruit and vegetable residues, limited by seasonality and perishability, were ranked lower. Based on these findings, co-digestion of cattle manure and straw is proposed as a sustainable strategy for small-scale biogas plants in Fès-Meknès, addressing feedstock shortages, enhancing biogas production, and reducing plant abandonment. This approach strengthens technical sustainability and promotes the broader adoption of biogas technologies in developing countries