Tootfinder

Modeling and Simulation of an Active Quarter Car Suspension with a Robust LQR Controller under Road Disturbance and Parameter Uncertainty
Mehmet Karahan
https://arxiv.org/abs/2508.02906

Modeling and Simulation of an Active Quarter Car Suspension with a Robust LQR Controller under Road Disturbance and Parameter Uncertainty
Vehicle suspension is important for passengers to travel comfortably and to be less exposed to effects such as vibration and shock. A good suspension system in-creases the road holding of vehicles, allows them to take turns safely and reduces the risk of traffic accidents. Passive suspension system is the most widely used suspension system in vehicles due to its simple structure and low cost. Passive suspension systems do not have an actuator and therefore do not have a controller. Active suspe…

"It's cheaper to buy the default search box everywhere in the world than it is to make a product that is so good that even if we tried another search engine, we'd still prefer Google.
This is enshittification."
From: @…

Cory Doctorow (@pluralistic@mamot.fr)
Angehängt: 1 Bild It's been more than a year since I gave up on Google Search (I switched to Kagi.com and never looked back). I don't miss it. It had gotten terrible. It's gotten worse since, thanks to AI (of course): https://pluralistic.net/2024/04/04/teach-me-how-to-shruggie/#kagi -- If you'd like an essay-formatted version of this thread to read or share, here's a link to it on pluralistic.net, my surveillance-free, ad-free, tracker-free blog: https://pluralistic.net/2025/07/15/inhuman…

FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays
Abdul Rahoof, Vivek Chaturvedi, Muhammad Shafique
https://arxiv.org/abs/2509.03103

FastCaps: A Design Methodology for Accelerating Capsule Network on Field Programmable Gate Arrays
Capsule Network (CapsNet) has shown significant improvement in understanding the variation in images along with better generalization ability compared to traditional Convolutional Neural Network (CNN). CapsNet preserves spatial relationship among extracted features and apply dynamic routing to efficiently learn the internal connections between capsules. However, due to the capsule structure and the complexity of the routing mechanism, it is non-trivial to accelerate CapsNet performance in its o…

Multi-Waypoint Path Planning and Motion Control for Non-holonomic Mobile Robots in Agricultural Applications
Mahmoud Ghorab, Matthias Lorenzen
https://arxiv.org/abs/2507.23350 h…

Multi-Waypoint Path Planning and Motion Control for Non-holonomic Mobile Robots in Agricultural Applications
There is a growing demand for autonomous mobile robots capable of navigating unstructured agricultural environments. Tasks such as weed control in meadows require efficient path planning through an unordered set of coordinates while minimizing travel distance and adhering to curvature constraints to prevent soil damage and protect vegetation. This paper presents an integrated navigation framework combining a global path planner based on the Dubins Traveling Salesman Problem (DTSP) with a Nonlin…

Towards Memory Specialization: A Case for Long-Term and Short-Term RAM
Peijing Li, Muhammad Shahir Abdurraman, Rachel Cleaveland, Sergey Legtchenko, Philip Levis, Ioan Stefanovici, Thierry Tambe, David Tennenhouse, Caroline Trippel
https://arxiv.org/abs/2508.02992

Towards Memory Specialization: A Case for Long-Term and Short-Term RAM
Both SRAM and DRAM have stopped scaling: there is no technical roadmap to reduce their cost (per byte/GB). As a result, memory now dominates system cost. This paper argues for a paradigm shift from today's simple memory hierarchy toward specialized memory architectures that exploit application-specific access patterns. Rather than relying solely on traditional off-chip DRAM and on-chip SRAM, we envisage memory systems equipped with additional types of memory whose performance trade-offs benefit…