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Enma ist eine Energiemanagement-Anwendung, die verschiedene Nutzer:innengruppen zusammenführt und damit den Prozess vereinfacht. Die aktuelle Energiekrise betrifft insbesondere Unternehmen, die in der Energieerzeugung tätig sind. Die Digitalisierung wird für Unternehmen in der Zukunft immer wichtiger und sie werden sich ihr nicht entziehen können. Daher benötigen insbesondere Unternehmen, die keinen dedizierten Energiemanager:innen beschäftigen, gezielte Unterstützung von Anwendungen. Auch Vertriebspartner:innen und Hersteller:innen von Produkten wie PV-Anlagen und Stromspeichern, die von solch einer Anwendung profitieren können, wollen ihren Kunden:innen Sicherheit und Unterstützung bieten. Dafür ist eine Anwendung erforderlich, die dies vereint. Das Ziel war es, das Backend von OpenEMS (Energiemanagementsystems) zu nutzen und zusätzlich einen menschenzentrierten und umweltfreundlichen Ansatz zu bieten. Um die Anwendung realistischer zu gestalten, wurde sie in Kooperation mit dem Unternehmen Voltfang entwickelt.
Rabbit Hole : welchen Einfluss digitale Plattformen auf rechte Radikalisierungsprozesse haben
(2023)
Obwohl 2019 als das Jahr rechtsterroristischer Anschläge weltweit gilt und die rechte Szene in den letzten Jahren auch in der gesellschaftlichen Mitte deutlich an Zuwachs gewinnen konnte, ist das Thema rund um rechtsextreme Online-Radikalisierung noch verhältnismäßig wenig erforscht. Laut Expert*innen ist dabei jeder Mensch potenziell für eine Radikalisierung anfällig, wenn es die Umstände begünstigen. Dass unsere Leben on- und offline immer weiter miteinander verschmelzen, erhöht die Gefahr für eine mögliche Radikalisierung zusätzlich. »Rabbit Hole« wurde als monothematisch erscheinende Bookazine-Reihe konzipiert, welche pro Ausgabe ein Thema rund um die Gefahren, Herausforderungen und Phänomene, die das Internet und digitale Plattformen mit sich bringen, beleuchtet. Sie soll zur Aufklärung von insbesondere jungen Erwachsenen beitragen. Die erste Ausgabe wurde beispielhaft ausgearbeitet.
Stand 01.01.2022 sind in Deutschland 618.460 elektrisch angetriebene KFZ zugelassen. Insgesamt sind derzeit 48.540.878 KFZ zugelassen, was einer Elektromobilitätsquote von ca. 1,2 % entspricht. Derzeit werden Elektromobile über Ladestationen oder Steckdosen mit dem Stromnetz verbunden und üblicherweise mit der vollen Ladekapazität des Anschlusses aufgeladen, bis das Batteriemanagementsystem des Fahrzeugs abhängig vom Ladezustand der Batterie die Ladeleistung reduziert.
Entwicklung eines neuen Erscheinungsbildes für das Wallraf-Richartz-Museum und Fondation Carboud
(2023)
Das Wallraf-Richartz-Museum & Fondation Corboud besitzt eine der wichtigsten europäischen Kunstsammlungen vom Mittelalter bis zum 19. Jahrhundert. Durch das Zusammenspiel von Forschung und Vermittlung der Kunst- und Epochengeschichte trägt das Museum maßgeblich zum Erhalt des kulturellen Erbes und dem Meinungsaustausch über die Vergangenheit, Gegenwart und die Zukunft bei. Im Fokus des neuen Erscheinungsbildes steht die an den kulturellen und historischen Kontext angepasste Szenografie des Museums. Die beeindruckend verzierten Bilderrahmen der gezeigten Kunstepochen werden abstrahiert und durch einen typografischen Rahmen neu interpretiert. Das entwickelte Headline-Prinzip wird durch eine sehr zurückhaltende Gestaltung ergänzt, was der Thematik und den gezeigten Meisterwerken Raum zum Wirken verleiht.
This work presents the Multi-Bees-Tracker (MBT3D) algorithm, a Python framework implementing a deep association tracker for Tracking-By-Detection, to address the challenging task of tracking flight paths of bumblebees in a social group. While tracking algorithms for bumblebees exist, they often come with intensive restrictions, such as the need for sufficient lighting, high contrast between the animal and background, absence of occlusion, significant user input, etc. Tracking flight paths of bumblebees in a social group is challenging. They suddenly adjust movements and change their appearance during different wing beat states while exhibiting significant similarities in their individual appearance. The MBT3D tracker, developed in this research, is an adaptation of an existing ant tracking algorithm for bumblebee tracking. It incorporates an offline trained appearance descriptor along with a Kalman Filter for appearance and motion matching. Different detector architectures for upstream detections (You Only Look Once (YOLOv5), Faster Region Proposal Convolutional Neural Network (Faster R-CNN), and RetinaNet) are investigated in a comparative study to optimize performance. The detection models were trained on a dataset containing 11359 labeled bumblebee images. YOLOv5 reaches an Average Precision of AP = 53, 8%, Faster R-CNN achieves AP = 45, 3% and RetinaNet AP = 38, 4% on the bumblebee validation dataset, which consists of 1323 labeled bumblebee images. The tracker’s appearance model is trained on 144 samples. The tracker (with Faster R-CNN detections) reaches a Multiple Object Tracking Accuracy MOTA = 93, 5% and a Multiple Object Tracking Precision MOTP = 75, 6% on a validation dataset containing 2000 images, competing with state-of-the-art computer vision methods. The framework allows reliable tracking of different bumblebees in the same video stream with rarely occurring identity switches (IDS). MBT3D has much lower IDS than other commonly used algorithms, with one of the lowest false positive rates, competing with state-of-the-art animal tracking algorithms. The developed framework reconstructs the 3-dimensional (3D) flight paths of the bumblebees by triangulation. It also handles and compares two alternative stereo camera pairs if desired.
Sustainability is playing an increasingly important role. Not least due to the definition of the sustainable development goals (SDGs) in the framework of the agenda 2030 by the United Nations (UN) in 2015 (United Nations, n.d.), it has become clear that the cooperation of different actors is needed to achieve the defined 17 goals. Industry, as a global actor, has a special role to play in this. In the course of sustainable production processes and chains, the industry is confronted with the responsibility of reflecting on the consequences of its own trade on an ecological, economic, and also social level and deriving measures that, according to the definition of sustainability (Hauff, 1987), will also enable future generations to satisfy their needs. While the ecological pillar of sustainability is already being addressed by different industrial initiatives (Deloitte, 2021), it is questionable to what extent the economic and, above all, the social pillars of sustainability also play a decisive role. Accordingly, it is questionable to what extent sustainability in its triad of social, ecological, and economic aspects is taken into account holistically at all, and thus to what extent the industry contributes to achieving the 17 goals defined by the UN.
This paper presents a qualitative study that explores these questions. Interviewing 31 representatives from the manufacturing industry in Germany, results indicate a Paradox of Sustainable Production expressed by a theoretical reflection of the need for focusing on people in production processes on the one hand and a lack of addressing the social pillar of sustainability in concepts on the other hand. However, while it is a troublesome finding given the striking need for sustainable development (The-Sustainable-Development-Goals-Report-2022; Kropp 2019; von Hauff 2021; Roy and Singh 2017), the paradox directly lays out a path of resolving it. This is because, given its nature, we can see that we could resolve it via the implementation of strong educational efforts trying to help the respective people of the manufacturing industry to understand the holistic and interdependent character of sustainable development (The-Sustainable-Development-Goals-Report-2022).
Anti-bias trainings are increasingly demanded and practiced in academia and industry to increase employees’ sensitivity to discrimination, racism, and diversity. Under the heading of “Diversity Management”, anti-bias trainings are mainly offered as one-off workshops intending to raise awareness of unconscious biases, create a diversity-affirming corporate culture, awake awareness of the potential of diversity, and ultimately enable the reflection of diversity in development processes. However, coming from childhood education, research and scientific articles on the sustainable effectiveness of anti-bias in adulthood, especially in academia, are very scarce. In order to fill this research gap, the paper explores how sustainable the effects of individual anti-bias trainings on the behavior of participants are. In order to investigate this, participant observation in a qualitative pre-post setting was conducted, analyzing anti-bias trainings in an academic context. Two observers actively participated in the training sessions and documented the activities and reflection processes of the participants. Overall, the results question the effectiveness of single anti-bias trainings and show that a target-group adaptive approach is mandatory due to the background of the approach in early childhood education. Therefore, it can be concluded that anti-bias work needs to be adapted to the target group’s needs and reality of life. Furthermore, the study reveals that single anti-bias trainings must be embedded in a holistic diversity management approach to stimulate sustainable reflection processes among the target group. This paper is one of the first to scientifically evaluate anti-bias training effectiveness, especially in engineering sciences and the university context.
The complex questions of today for a world of tomorrow are characterized by their global impact. Solutions must therefore not only be sustainable in the sense of the three pillars of sustainability (economic, environmental, and social) but must also function globally. This goes hand in hand with the need for intercultural acceptance of developed services and products. To achieve this, engineers, as the problem solvers of the future, must be able to work in intercultural teams on appropriate solutions, and be sensitive to intercultural perspectives. To equip the engineers of the future with the so-called future skills, teaching concepts are needed in which students can acquire these methods and competencies in application-oriented formats. The presented course "Applying Design Thinking - Sustainability, Innovation and Interculturality" was developed to teach future skills from the competency areas Digital Key Competencies, Classical Competencies and Transformative Competencies. The CDIO Standard 3.0, in particular the standards 5, 6, 7 and 8, was used as a guideline. The course aims to prepare engineering students from different disciplines and cultures for their future work in an international environment by combining a digital teaching format with an interdisciplinary, transdisciplinary and intercultural setting for solving sustainability challenges. The innovative moment lies in the digital application of design thinking and the inclusion of intercultural as well as trans- and interdisciplinary perspectives in innovation development processes. In this paper, the concept of the course will be presented in detail and the particularities of a digital implementation of design thinking will be addressed. Subsequently, the potentials and challenges will be reflected and practical advice for integrating design thinking in engineering education will be given.
Achieving the 17 Sustainable Development Goals (SDGs) set by the United Nations (UN) in 2015 requires global collaboration between different stakeholders. Industry, and in particular engineers who shape industrial developments, have a special role to play as they are confronted with the responsibility to holistically reflect sustainability in industrial processes. This means that, in addition to the technical specifications, engineers must also question the effects of their own actions on an ecological, economic and social level in order to ensure sustainable action and contribute to the achievement of the SDGs. However, this requires competencies that enable engineers to apply all three pillars of sustainability to their own field of activity and to understand the global impact of industrial processes. In this context, it is relevant to understand how industry already reflects sustainability and to identify competences needed for sustainable development.
Social Media - Segen oder Fluch? : Eine Aufklärungskampagne zu Auswirkungen von Social Media Nutzung
(2023)
Das Projekt „Social Media – Segen oder Fluch“ beschäftigt sich mit negativen Auswirkungen, die die Nutzung Sozialer Medien haben kann. Soziale Medien werden heutzutage ständig und von fast jedem genutzt, vor allem von Jugendlichen und jungen Erwachsenen. Vielen ist aber nicht bewusst, dass sich die Nutzung negativ auf sie und ihre Gesundheit auswirken kann. Eine Kampagne soll daran etwas ändern. Soziale Medien bzw. der Content, der die Nutzer:innen negativ beeinflusst, ist wie ein Monster, vor dem sich die Nutzer:innen in acht nehmen müssen. Angesprochen werden hauptsächlich 12-29-jährige, die Soziale Medien nutzen. Die Kampagne soll durch verschiedene Maßnahmen wie Plakatwerbung und Posts auf Social Media Kanälen, den negativen Auswirkungen von Social Media Nutzung entgegenwirken. Sie soll über die Auswirkungen aufklären und zu einem bewussteren Umgang mit Sozialen Netzwerken anregen.
Rocket engine test facilities and launch pads are typically equipped with a guide tube. Its purpose is to ensure the controlled and safe routing of the hot exhaust gases. In addition, the guide tube induces a suction that effects the nozzle flow, namely the flow separation during transient start-up and shut-down of the engine. A cold flow subscale nozzle in combination with a set of guide tubes was studied experimentally
to determine the main influencing parameters.
Companies often build their businesses based on product information and therefore try to automate the process of information extraction (IE). Since the information source is usually heterogeneous and non-standardized, classic extract, transform, load techniques reach their limits. Hence, companies must implement the newest findings from research to tackle the challenges of process automation. They require a flexible and robust system that is extendable and ensures the optimal processing of the different document types. This paper provides a distributed microservice architecture pattern that enables the automated generation of IE pipelines. Since their optimal design is individual for each input document, the system ensures the ad-hoc generation of pipelines depending on specific document characteristics at runtime. Furthermore, it introduces the automated quality determination of each available pipeline and controls the integration of new microservices based on their impact on the business value. The introduced system enables fast prototyping of the newest approaches from research and supports companies in automating their IE processes. Based on the automated quality determination, it ensures that the generated pipelines always meet defined business requirements when they come into productive use.
Vita ist ein Produkt zur Unterstützung von Physiotherapie und Rehabilitation für moderne digitale Profis. Es hilft beim Aufspüren und Erkennen von Haltungsfehlern und gibt positives und sinnvolles Feedback. Ziel des Feedbacks ist es, ein Gefühl des Vertrauens in den Genesungsprozess zu schaffen und durch die Nachahmung der menschlichen Berührung neue, positive Haltungsgewohnheiten zu entwickeln und zu kultivieren.
Zan, Zendegi, Azadi
(2023)
Das Projekt „Zan, Zendegi, Azadi" (Frau, Leben, Freiheit) setzt sich mit der aktuellen Situation im Iran auseinander. Bereits nach der Machtübernahme der islamischen Republik im Jahr 1979 wird die iranische Bevölkerung durch das brutale Regime unterdrückt und zum Schweigen gezwungen. Dieser Druck hat sich lange aufgestaut und nun gibt es seit Jahren in größeren Abständen Proteste gegen die Regierung. Der gewaltsame Tod der kurdischen Iranerin Mahsā Jîna Amīnī in Polizeigewahrsam am 16.09.2022 hat eine beispiellose Welle des Protests in allen Landesteilen Irans ausgelöst. Ihr Protest wird von Frauen angeführt und hat sich in eine beeindruckende Welle des Widerstands und der Rebellion entwickelt. Die unterschiedlichen Medien in diesem Projekt wie Dokumentarfotografie, Illustration, Projektion und Texte geben Betrachter:innen einen Eindruck der unmittelbaren Wirkung der revolutionären Ereignisse und der Reaktion des totalitären Regimes auf die Betroffenen.
Inhaltsverzeichnis - Bachelorarbeiten
1. Zukunft der Rente – Kann eine Erwerbstätigenversicherung das
demografische Problem nachhaltig lösen?
- Marcel Sept | Seite 4-73
2. Die versammlungsgebundenen Aktionärsrechte in der neuen
virtuellen Hauptversammlung – eine Bewertung aus Unternehmer- und Aktionärssicht
- Christina Zillinger | Seite 74-130
3. Praxisleitfaden für den Arbeitgeber zum gesetzlichen
Sonderkündigungsschutz – Was muss der Arbeitgeber tun, um durch
Gesetz besonders geschützten Arbeitnehmern kündigen zu können?
- Johanna Wiechert | Seite 131-195
4. Die Steuervergünstigung bei Umstrukturierungen im Konzern nach
§ 6a GrEStG im Lichte der aktuellen Rechtsprechung
- Marius Thelen | Seite 196-265
Despite the challenges of pioneering molten salt towers (MST), it remains the leading technology in central receiver power plants today, thanks to cost effective storage integration and high cost reduction potential. The limited controllability in volatile solar conditions can cause significant losses, which are difficult to estimate without comprehensive modeling [1]. This paper presents a Methodology to generate predictions of the dynamic behavior of the receiver system as part of an operating assistance system (OAS). Based on this, it delivers proposals if and when to drain and refill the receiver during a cloudy period in order maximize the net yield and quantifies the amount of net electricity gained by this. After prior analysis with a detailed dynamic two-phase model of the entire receiver system, two different reduced modeling approaches where developed and implemented in the OAS. A tailored decision algorithm utilizes both models to deliver the desired predictions efficiently and with appropriate accuracy.
To fulfil the CO2 emission reduction targets of the European Union (EU), heavy-duty (HD) trucks need to operate 15% more efficiently by 2025 and 30% by 2030. Their electrification is necessary as conventional HD trucks are already optimized for the long-haul application. The resulting hybrid electric vehicle (HEV) truck gains most of the fuel saving potential by the recuperation of potential energy and its consecutive utilization. The key to utilizing the full potential of HEV-HD trucks is to maximize the amount of recuperated energy and ensure its intelligent usage while keeping the operating point of the internal combustion engine as efficient as possible. To achieve this goal, an intelligent energy management strategy (EMS) based on ECMS is developed for a parallel HEV-HD truck which uses predictive discharge of the battery and adaptive operating strategy regarding the height profile and the vehicle mass. The presented EMS can reproduce the global optimal operating strategy over long phases and lead to a fuel saving potential of up to 2% compared with a heuristic strategy. Furthermore, the fuel saving potential is correlated with the investigated boundary conditions to deepen the understanding of the impact of intelligent EMS for HEV-HD trucks.
Modern implementations of driver assistance systems are evolving from a pure driver assistance to a independently acting automation system. Still these systems are not covering the full vehicle usage range, also called operational design domain, which require the human driver as fall-back mechanism. Transition of control and potential minimum risk manoeuvres are currently research topics and will bridge the gap until full autonomous vehicles are available. The authors showed in a demonstration that the transition of control mechanisms can be further improved by usage of communication technology. Receiving the incident type and position information by usage of standardised vehicle to everything (V2X) messages can improve the driver safety and comfort level. The connected and automated vehicle’s software framework can take this information to plan areas where the driver should take back control by initiating a transition of control which can be followed by a minimum risk manoeuvre in case of an unresponsive driver. This transition of control has been implemented in a test vehicle and was presented to the public during the IEEE IV2022 (IEEE Intelligent Vehicle Symposium) in Aachen, Germany.