Results 131 to 140 of about 27,266 (287)

Terahertz Chiral Metamaterials Enabling Broadband Polarization Conversion Using Polarization Guiding Effect

Advanced Materials Technologies, EarlyView.
A broadband terahertz polarization rotator consisting of twistingly stacked silicon–air metagratings is designed based on the polarization guiding effect and experimentally shown to achieve 90° linear polarization rotation for both TE and TM incidences.
Yun‐Seok Choi, Tae Gwan Park, Antoinette J. Taylor, Hou‐Tong Chen, Abul K. Azad   +4 more
wiley   +1 more source

Non‐Invasive Multidimensional Capacitive Sensing for In Vivo Traumatic Brain Injury Monitoring

Advanced Materials Technologies, EarlyView.
Single‐electrode, multidimensional capacitive sensors noninvasively assess cerebral autoregulation and compliance for traumatic brain injury monitoring. ABSTRACT Traumatic brain injury (TBI) is a major cause of death and disability, but invasive intracranial pressure (ICP) monitoring is risky, and current non‐invasive methods lack the resolution and ...
Shawn Kim, Yu‐Jen Cheng, Tianyi Li, Nathan White, Xu Wang, Kristyn Ringgold, Lauren Neidig, Younghoon Kwon, Jae‐Hyun Chung   +8 more
wiley   +1 more source

Reducing Personalization Time and Energy Cost While Walking Outdoors with a Portable Exosuit

Advanced Robotics Research, EarlyView.
Rapid Real‐World Optimization! An AF‐based human‐in‐the‐loop optimization strategy rapidly personalizes a portable hip extension exosuit for incline walking. Real‐time Bayesian optimization of assistive force significantly reduces metabolic energy—up to 16.2%—while converging in just 3 min 24 s.
Kimoon Nam, Saikat Sahoo, Yoosun Kim, Dongmin Go, Jeongho Choo, Cheonkyu Park, Seungtae Yang, Giuk Lee   +7 more
wiley   +1 more source

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

A stochastic Gilpin-Ayala nonautonomous competition model driven by mean-reverting OU process with finite Markov chain and Lévy jumps

Electronic Research Archive
The Ornstein-Uhlenbeck (OU) process was used to simulate random perturbations in the environment. Considering the influence of telegraph noise and jump noise, a stochastic Gilpin-Ayala nonautonomous competition model driven by the mean-reverting OU ...
Meng Gao, Xiaohui Ai
doaj   +1 more source

Modulus‐Switchable Miniature Robots for Biomedical Applications: A Review

Advanced Robotics Research, EarlyView.
Materials, robot designs, proof‐of‐concept functions, and biomedical applications of modulus‐switchable miniature robots. Miniature soft robots have shown great potential in biomedical applications due to their excellent controllability and suitable mechanical properties in biological environments.
Chunyun Wei, Yibin Wang, Jiangfan Yu
wiley   +1 more source

TacScope: A Miniaturized Vision‐Based Tactile Sensor for Surgical Applications

Advanced Robotics Research, EarlyView.
TacScope is a compact, vision‐based tactile sensor designed for robot‐assisted surgery. By leveraging a curved elastomer surface with pressure‐sensitive particle redistribution, it captures high‐resolution 3D tactile feedback. TacScope enables accurate tumor detection and shape classification beneath soft tissue phantoms, offering a scalable, low‐cost ...
Md Rakibul Islam Prince, Sheeraz Athar, Pokuang Zhou, Yu She   +3 more
wiley   +1 more source

Random telegraph noise-based analysis of electron traps of sub-30-nm DRAM cell-array transistors in cryogenic operation

Results in Physics
The electron-traps parameters of the fin-type buried-channel-array transistor (BCAT) in a dynamic random-access memory (DRAM) cell is investigated with a random-telegraph-noise (RTN)-based analysis at various temperatures including 77 K.
Sangwon Lee, Ho Jung Lee, Ga Won Yang, Sungju Choi, Jingyu Park, Seonhaeng Lee, Gang-Jun Kim, Namhyun Lee, Yoon Kim, Myounggon Kang, Rock-Hyun Baek, Changhyun Kim, Ickhyun Song, Dae Hwan Kim   +13 more
doaj   +1 more source

Enabling Real‐Time Shape‐Sensing in Soft Robots via a Miniaturized, Single‐Signal, Color‐Tuned Soft Optical Sensor

Advanced Robotics Research, EarlyView.
A miniaturized soft optical sensor that uses thin film color tuning enables real‐time 3D shape‐sensing from a single red–green–blue (RGB) signal. When integrated into a soft robot, it enables closed‐loop control and autonomous navigation in a phantom lung environment without the need for onboard electronics, achieving sub‐millimeter accuracy through ...
Frank Juliá Wise, Yitong Lu, Daniel Van Lewen, Riley Applebaum, Bianca Andrada, Johnathan Reamer, Sheila Russo   +6 more
wiley   +1 more source

Prediction of Random Telegraph Noise-Induced Threshold Voltage Shift and Its Scaling Dependency Using Machine Learning

IEEE Journal of the Electron Devices Society
Random telegraph noise (RTN) shifts the threshold voltage (Vt) of 3D NAND flash memory cells, making it a key factor of the device malfunction. The aim of this study is to predict the distribution of RTN induced ${\mathrm { V}}_{\mathrm { t}}$ shift in
Eunseok Oh, Hyungcheol Shin
doaj   +1 more source