Tootfinder

Exploring post-neoliberal futures for managing commercial heating and cooling through speculative praxis
Oliver Bates, Christian Remy, Kieran Cutting, Adam Tyler, Adrian Friday
https://arxiv.org/abs/2507.19072

Exploring post-neoliberal futures for managing commercial heating and cooling through speculative praxis
What could designing for carbon reduction of heating and cooling in commercial settings look like in the near future? How can we challenge dominant mindsets and paradigms of efficiency and behaviour change? How can we help build worlds through our practice that can become future realities? This paper introduces the fictional consultancy ANCSTRL.LAB to explore opportunities for making space in research projects that can encourage more systems-oriented interventions. We present a design fiction t…

Reliability-Based Fault Analysis and Modeling of Satellite Electrical Power Subsystems Using Fault Tree and Simulation Tools
Niloofar Nobahari, Alireza Rezaee
https://arxiv.org/abs/2507.15708

Reliability-Based Fault Analysis and Modeling of Satellite Electrical Power Subsystems Using Fault Tree and Simulation Tools
One of the most important satellite subsystems is its electric power subsystem. The occurrence of a fault in the satellite power system causes the failure of all or part of the satellite. Calculating the overall reliability of the power system before the mission is crucial in improving the design of the satellite power system. Each component of the power system may malfunction due to pressure, launch pressure, and operating conditions. Accordingly, in this paper, first, a healthy and faulty sys…

Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G
Michele Polese, Niloofar Mohamadi, Salvatore D'Oro, Tommaso Melodia
https://arxiv.org/abs/2507.06911

Beyond Connectivity: An Open Architecture for AI-RAN Convergence in 6G
The proliferation of data-intensive Artificial Intelligence (AI) applications at the network edge demands a fundamental shift in RAN design, from merely consuming AI for network optimization, to actively enabling distributed AI workloads. This paradigm shift presents a significant opportunity for network operators to monetize AI at the edge while leveraging existing infrastructure investments. To realize this vision, this article presents a novel converged O-RAN and AI-RAN architecture that uni…