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With the prevalence of wearable devices, inertial measurement unit (IMU) data has been utilized in monitoring and assessment of human mobility such as human activity recognition (HAR). Training deep neural network (DNN) models for these…

Signal Processing · Electrical Eng. & Systems 2022-02-23 Yujiao Hao , Boyu Wang , Rong Zheng

Ultrafast radiographic imaging and tracking (U-RadIT) use state-of-the-art ionizing particle and light sources to experimentally study sub-nanosecond dynamic processes in physics, chemistry, biology, geology, materials science and other…

Modern spacecraft are increasingly relying on machine learning (ML). However, physical equipment in space is subject to various natural hazards, such as radiation, which may inhibit the correct operation of computing devices. Despite plenty…

Machine Learning · Computer Science 2024-05-31 Kevin Lange , Federico Fontana , Francesco Rossi , Mattia Varile , Giovanni Apruzzese

Detection of the faint 21 cm line emission from the Cosmic Dawn and Epoch of Reionisation will require not only exquisite control over instrumental calibration and systematics to achieve the necessary dynamic range of observations but also…

Instrumentation and Methods for Astrophysics · Physics 2025-01-09 Piyanat Kittiwisit , Steven G. Murray , Hugh Garsden , Philip Bull , Christopher Cain , Aaron R. Parsons , Jackson Sipple , Zara Abdurashidova , Tyrone Adams , James E. Aguirre , Paul Alexander , Zaki S. Ali , Rushelle Baartman , Yanga Balfour , Adam P. Beardsley , Lindsay M. Berkhout , Gianni Bernardi , Tashalee S. Billings , Judd D. Bowman , Richard F. Bradley , Jacob Burba , Steven Carey , Chris L. Carilli , Kai-Feng Chen , Carina Cheng , Samir Choudhuri , David R. DeBoer , Eloy de Lera Acedo , Matt Dexter , Joshua S. Dillon , Scott Dynes , Nico Eksteen , John Ely , Aaron Ewall-Wice , Nicolas Fagnoni , Randall Fritz , Steven R. Furlanetto , Kingsley Gale-Sides , Bharat Kumar Gehlot , Abhik Ghosh , Brian Glendenning , Adelie Gorce , Deepthi Gorthi , Bradley Greig , Jasper Grobbelaar , Ziyaad Halday , Bryna J. Hazelton , Jacqueline N. Hewitt , Jack Hickish , Tian Huang , Daniel C. Jacobs , Alec Josaitis , Austin Julius , MacCalvin Kariseb , Nicholas S. Kern , Joshua Kerrigan , Honggeun Kim , Saul A. Kohn , Matthew Kolopanis , Adam Lanman , Paul La Plante , Adrian Liu , Anita Loots , Yin-Zhe Ma , David H. E. MacMahon , Lourence Malan , Cresshim Malgas , Keith Malgas , Bradley Marero , Zachary E. Martinot , Andrei Mesinger , Mathakane Molewa , Miguel F. Morales , Tshegofalang Mosiane , Abraham R. Neben , Bojan Nikolic , Chuneeta Devi Nunhokee , Hans Nuwegeld , Robert Pascua , Nipanjana Patra , Samantha Pieterse , Yuxiang Qin , Eleanor Rath , Nima Razavi-Ghods , Daniel Riley , James Robnett , Kathryn Rosie , Mario G. Santos , Peter Sims , Saurabh Singh , Dara Storer , Hilton Swarts , Jianrong Tan , Nithyanandan Thyagarajan , Pieter van Wyngaarden , Peter K. G. Williams , Zhilei Xu , Haoxuan Zheng

Proximity-based interference is a growing threat to satellite communications, driven by dense multi-orbit constellations and increasingly agile adversarial maneuvers. We propose a hybrid simulation framework that integrates orbital maneuver…

Signal Processing · Electrical Eng. & Systems 2025-09-03 Anouar Boumeftah , Gunes Karabulut Kurt

The aerial manipulator (AM) is a systematic operational robotic platform in high standard on algorithm robustness. Directly deploying the algorithms to the practical system will take numerous trial and error costs and even cause destructive…

Robotics · Computer Science 2021-03-22 Fengyu Quan , Huisheng Huang , Hongjie Zeng , Haoyao Chen , Yunhui Liu

An embodied system must not only model the patterns of the external world but also understand its own motion dynamics. A motion dynamic model is essential for efficient skill acquisition and effective planning. In this work, we introduce…

Machine Learning · Computer Science 2025-04-10 Chenjie Hao , Weyl Lu , Yifan Xu , Yubei Chen

The core aspects and latest developments of Manoeuvre Intelligence for Space Safety (MISS), a new software tool for collision avoidance analysis and design, are presented. The tool leverages analytical and semi-analytical methods for the…

Instrumentation and Methods for Astrophysics · Physics 2020-10-19 Juan Luis Gonzalo , Camilla Colombo , Pierluigi Di Lizia

SiMRX is a MRX simulation toolbox written in MATLAB for simulation of realistic 2D and 3D Magnetorelaxometry (MRX) setups, including coils, sensors and activation patterns. MRX is a new modality that uses magnetic nanoparticles (MNP) as…

Computational Engineering, Finance, and Science · Computer Science 2021-10-19 Lea Föcke

The railway industry is searching for new ways to automate a number of complex train functions, such as object detection, track discrimination, and accurate train positioning, which require the artificial perception of the railway…

Computer Vision and Pattern Recognition · Computer Science 2023-03-01 Gianluca D'Amico , Mauro Marinoni , Federico Nesti , Giulio Rossolini , Giorgio Buttazzo , Salvatore Sabina , Gianluigi Lauro

This letter presents a multi-scenario adaptable intelligent robot simulation platform based on LIDAR-inertial fusion, with three main features: (1 The platform includes an versatile robot model that can be freely controlled through manual…

Robotics · Computer Science 2024-07-22 Qiyan Li , Chang Wu , Yifei Yuan , Yuan You

Subatomic particle track reconstruction (tracking) is a vital task in High-Energy Physics experiments. Tracking is exceptionally computationally challenging and fielded solutions, relying on traditional algorithms, do not scale linearly.…

High Energy Physics - Experiment · Physics 2024-07-12 Uraz Odyurt , Stephen Nicholas Swatman , Ana-Lucia Varbanescu , Sascha Caron

The Mid-Infrared Instrument (MIRI) on the James Webb Space Telescope (JWST), has imaging, four coronagraphs and both low and medium resolution spectroscopic modes . Being able to simulate MIRI observations will help commissioning of the…

This paper reports on technical aspects of Plasma Operational Simulation (POPSIM), a research framework for data-driven simulation and control built in the machine learning framework JAX. The objective of the project is to address the…

Simulations with high accuracy are an essential part of scientific research to accelerate the innovation process. They are especially useful for finding novel approaches or optimizing existing methods. Today, powerful software tools are…

Medical Physics · Physics 2022-08-31 Patrick Vogel , Martin A. Rückert , Thomas Kampf , Volker C. Behr

In this publication we introduce MAM-STM, a software to autonomously manipulate arbitrary moieties towards specific positions on a metal surface utilizing the tip of a scanning tunneling microscope (STM). Finding the optimal manipulation…

Applied Physics · Physics 2024-04-16 Bernhard Ramsauer , Johannes J. Cartus , Oliver T. Hofmann

Conducting user studies that involve physiological and behavioral measurements is very time-consuming and expensive, as it not only involves a careful experiment design, device calibration, etc. but also a careful software testing. We…

Human-Computer Interaction · Computer Science 2025-05-13 Kayhan Latifzadeh , Luis A. Leiva

Human long duration exploration missions (LDEMs) raise a number of technological challenges. This paper addresses the question of the crew autonomy: as the distances increase, the communication delays and constraints tend to prevent the…

We present an open-source software for the simulation of observables in magnetic resonance experiments, including nuclear magnetic/quadrupole resonance NMR/NQR and electron spin resonance (ESR), developed to assist experimental research in…

A new approach to simulating warm and hot dense matter that combines density functional theory based calculations of the electronic structure to classical molecular dynamics simulations with pair interaction potentials is presented. The new…

Plasma Physics · Physics 2015-06-22 C. E. Starrett , J. Daligault , D. Saumon