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  • Publication
    Cooperative Students: Navigating Unsupervised Domain Adaptation in Nighttime Object Detection
    ( 2024-05-08)
    Yuan, Jicheng
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    Le-Tuan, Anh
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    Phuoc, Danh Le
    Unsupervised Domain Adaptation (UDA) has shown significant advancements in object detection under well-lit conditions; however, its performance degrades notably in low-visibility scenarios, especially at night, posing challenges not only for its adaptability in low signal-to-noise ratio (SNR) conditions but also for the reliability and efficiency of automated vehicles. To address this problem, we propose a \textbf{Co}operative \textbf{S}tudents (\textbf{CoS}) framework that innovatively employs global-local transformations (GLT) and a proxy-based target consistency (PTC) mechanism to capture the spatial consistency in day- and night-time scenarios effectively, and thus bridge the significant domain shift across contexts. Building upon this, we further devise an adaptive IoU-informed thresholding (AIT) module to gradually avoid overlooking potential true positives and enrich the latent information in the target domain. Comprehensive experiments show that CoS essentially enhanced UDA performance in low-visibility conditions and surpasses current state-of-the-art techniques, achieving an increase in mAP of 3.0\%, 1.9\%, and 2.5\% on BDD100K, SHIFT, and ACDC datasets, respectively.
  • Publication
    Quantum Backtracking in Qrisp Applied to Sudoku Problems
    ( 2024-02)
    Seidel, Raphael
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    Zander, René
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    Petric, Matic
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    Steinmann, Niklas
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    Liu, David Q.
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    Tcholtchev, Nikolay Vassilev
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    The quantum backtracking algorithm proposed by Ashley Montanaro raised considerable interest, as it provides a quantum speed-up for a large class of classical optimization algorithms. It does not suffer from Barren-Plateaus and transfers well into the fault-tolerant era, as it requires only a limited number of arbitrary angle gates. Despite its potential, the algorithm has seen limited implementation efforts, presumably due to its abstract formulation. In this work, we provide a detailed instruction on implementing the quantum step operator for arbitrary backtracking instances. For a single controlled diffuser of a binary backtracking tree with depth n, our implementation requires only 6n + 14 CX gates. We detail the process of constructing accept and reject oracles for Sudoku problems using our interface to quantum backtracking. The presented code is written using Qrisp, a high-level quantum programming language, making it executable on most current physical backends and simulators. Subsequently, we perform several simulator based experiments and demonstrate solving 4x4 Sudoku instances with up to 9 empty fields. This is, to the best of our knowledge, the first instance of a compilable implementation of this generality, marking a significant and exciting step forward in quantum software engineering.
  • Publication
    Responses of the European IoT Ecosystem to the European General Data Protection Regulation
    With the proliferation of IoT devices in homes and industry, concerns have arisen about the security of the devices and the privacy of users. The General Data Protection Regulation (GDPR), which went into effect in 2018, aims to protect the rights of IoT (and other) users. One way for device manufacturers to address these rights is through firmware updates. However, the extent of the GDPR's impact on EU member states remains uncertain. This paper presents a comprehensive analysis that examines changes in firmware age, as well as the overall age of devices, following the implementation of GDPR in the EU. The analysis uses approximately 400 terabytes of real-world IoT data from Censys.io, spanning from 2015 to the end of 2021. Using grouped average age values, we perform and compare difference-in-differences analyses for devices deployed in all EU member states and regions. We show that devices deployed in Northern Europe tend to be the most up-to-date, while Eastern Europe lags behind. This work provides initial insights into the impact of the GDPR in the IoT ecosystem, and highlights the need for further research to gain a deeper understanding of the effects.
  • Publication
    Der European Battery Business Club EBBC - Bildung und Vernetzung der Arbeitskräfte im wachsenden europäischen Batteriesektor
    ( 2024-06-21)
    Harzer, Christine
    Aufgrund der anhaltenden Expansion der Batterieindustrie wird der Bedarf an spezialisierter Aus- und Weiterbildung immer dringender. In diesem Blogartikel zeigen wir auf, bei welchen Gruppen innerhalb der Branche Bildungsbedarf besteht. Außerdem beleuchten wir, welche Schulungsformate sich für diese Zielgruppen besonders eignen. Der »European Battery Business Club« (EBBC) vermittelt aktuelles Batteriewissen in Kombination mit Einblicken in die Industrie durch ein asynchrones Online-Training, bestehend aus innovativen Mikro-Learning-Elementen. Dieses Schulungsformat gewährleistet selbstgesteuertes Lernen und die Möglichkeit, eine große Anzahl von Arbeitskräften gleichzeitig zu schulen. Aber entspricht das Format und der Inhalt des EBBC tatsächlich dem Schulungsbedarf der wachsenden europäischen Batterieindustrie?
  • Publication
    #115 Energiewende-Rückblick erstes Halbjahr 2024
    ( 2024-06-30)
    Roon, Serafin von
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    Wesche, Julius
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    Was ist im ersten Halbjahr 2024 energiewendepolitisch passiert? Einen Überblick gibt es in dieser Folge mit. Serafin ist der Geschäftsführer der, und Co-Host des Redispatch Podcast. Behandelte Themen: Kürzung des Klima- und Transformationsfonds, Entwicklung der Energiepreise, Kraftwerksstrategie für Deutschland, Plattform klimaneutrales Stromsystem, Wasserstoff Kernnetz, Nicht-Verkauf von TenneT an den Bund, Carbon Management Strategie des Bundes.