Tootfinder

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels
Twisha Chattopadhyay, Fabricio Ceschin, Marco E. Garza, Dymytriy Zyunkin, Animesh Chhotaray, Aaron P. Stebner, Saman Zonouz, Raheem Beyah
https://arxiv.org/abs/2506.21897

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels
The 3D printing industry is rapidly growing and increasingly adopted across various sectors including manufacturing, healthcare, and defense. However, the operational setup often involves hazardous environments, necessitating remote monitoring through cameras and other sensors, which opens the door to cyber-based attacks. In this paper, we show that an adversary with access to video recordings of the 3D printing process can reverse engineer the underlying 3D print instructions. Our model tracks…

Occupational Safety within Non-Routine Manufacturing Processes: Evaluating the Validity of Task-Based Ergonomic Assessments
Charu Tripathi, Manish Arora, Amaresh Chakrabarti
https://arxiv.org/abs/2507.20261

Occupational Safety within Non-Routine Manufacturing Processes: Evaluating the Validity of Task-Based Ergonomic Assessments
Direct measurement ergonomic assessment is reshaping occupational safety by facilitating highly reliable risk estimation. Industry 5.0, advocating human-centricity, has catalysed increasing adoption of direct measurement tools in manufacturing industries. However, due to technical and feasibility constraints in their practical implementations, especially within non routine manufacturing processes, task based approach to ergonomic assessment is utilized. Despite enabling operationalization of ro…

One of the reasons I appreciate walking, biking, and public transit so much (aside from just being a more joyful/connected way to travel, and better for our environment) is because they starve so many absolutely awful billionaires/corporations/oligarchs of profit. Oil companies, car manufacturers, large chain stores..
https://

There’s more: the e-bike means I’m not planning to replace my venerable old car when it finally dies; we’ll become a one-car family.
AFAICT from my research, this is even more important for climate / pollution concerns than the mileage. Just the sunk carbon emissions cost of manufacturing any new car, EV or otherwise, is roughly equivalent to another ~10 years of driving the venerable old gas-powered Civic. 10 years!
If you’re going to be buying a car, buying an EV is better. But unless you’re putting massive mileage on it, there’s a pretty good chance that not buying •any• new car ever — just running the existing one into the ground and shifting primary transportation mode — is the even better choice.

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies
Ossi Parikka, Roel Pieters
https://arxiv.org/abs/2506.22028

LMPVC and Policy Bank: Adaptive voice control for industrial robots with code generating LLMs and reusable Pythonic policies
Modern industry is increasingly moving away from mass manufacturing, towards more specialized and personalized products. As manufacturing tasks become more complex, full automation is not always an option, human involvement may be required. This has increased the need for advanced human robot collaboration (HRC), and with it, improved methods for interaction, such as voice control. Recent advances in natural language processing, driven by artificial intelligence (AI), have the potential to answ…

Automated HEMT Model Construction from Datasheets via Multi-Modal Intelligence and Prior-Knowledge-Free Optimization
Yuang Peng, Jiarui Zhong, Yang Zhang, Hong Cai Chen
https://arxiv.org/abs/2507.21430

Automated HEMT Model Construction from Datasheets via Multi-Modal Intelligence and Prior-Knowledge-Free Optimization
Parameter extraction for industry-standard device models like ASM-HEMT is crucial in circuit design workflows. However, many manufacturers do not provide such models, leaving users to build them using only datasheets. Unfortunately, datasheets lack sufficient information for standard step-by-step extraction. Moreover, manual data extraction from datasheets is highly time-consuming, and the absence of a fully automated method forces engineers to perform tedious manual work. To address this chall…

i'm finna hike up to the used record store and see if i can sell some records
Machine-generated ALT: three photos showcase a collection of 12 diverse vinyl records, spanning genres such as rock, soul, jazz, Christmas music, and contemporary pop, featuring artists like Lucinda Williams, Frank Sinatra, Chick Corea, Ramsey Lewis, Lana Del Rey, Mavis Staples, and Hugh Masekela.

Uncertainty Estimation of the Optimal Decision with Application to Cure Process Optimization
Yezhuo Li, Qiong Zhang, Madhura Limaye, Gang Li
https://arxiv.org/abs/2507.21995 htt…

Uncertainty Estimation of the Optimal Decision with Application to Cure Process Optimization
Decision-making in manufacturing often involves optimizing key process parameters using data collected from simulation experiments. Gaussian processes are widely used to surrogate the underlying system and guide optimization. Uncertainty often inherent in the decisions given by the surrogate model due to limited data and model assumptions. This paper proposes a surrogate model-based framework for estimating the uncertainty of optimal decisions and analyzing its sensitivity with respect to the o…

An object-centric core metamodel for IoT-enhanced event logs
Yannis Bertrand, Christian Imenkamp, Lukas Malburg, Matthias Ehrendorfer, Marco Franceschetti, Joscha Gr\"uger, Francesco Leotta, J\"urgen Mangler, Ronny Seiger, Agnes Koschmider, Stefanie Rinderle-Ma, Barbara Weber, Estefania Serral
https://arxiv.org/abs/250…

An object-centric core metamodel for IoT-enhanced event logs
Advances in Internet-of-Things (IoT) technologies have prompted the integration of IoT devices with business processes (BPs) in many organizations across various sectors, such as manufacturing, healthcare and smart spaces. The proliferation of IoT devices leads to the generation of large amounts of IoT data providing a window on the physical context of BPs, which facilitates the discovery of new insights about BPs using process mining (PM) techniques. However, to achieve these benefits, IoT dat…

ChipletPart: Scalable Cost-Aware Partitioning for 2.5D Systems
Alexander Graening, Puneet Gupta, Andrew B. Kahng, Bodhisatta Pramanik, Zhiang Wang
https://arxiv.org/abs/2507.19819

ChipletPart: Scalable Cost-Aware Partitioning for 2.5D Systems
Industry adoption of chiplets has been increasing as a cost-effective option for making larger high-performance systems. Consequently, partitioning large systems into chiplets is increasingly important. In this work, we introduce ChipletPart - a cost-driven 2.5D system partitioner that addresses the unique constraints of chiplet systems, including complex objective functions, limited reach of inter-chiplet I/O transceivers, and the assignment of heterogeneous manufacturing technologies to diffe…