Results 71 to 80 of about 29,413 (220)

Design and Modeling of a High‐Displacement, Skin‐Integrated Flexible Electromagnetic Actuator for Haptic Interfaces in Virtual Reality

Advanced Robotics Research, EarlyView.
A flexible, skin‐integrated electromagnetic actuator is developed for wearable virtual/augmented reality (VR/AR) haptic systems. A tunable design model enables control over displacement and resonance frequency. The system is validated through a custom VR application with a 6 × 4 actuator array, demonstrating real‐time, spatially targeted tactile ...
Naji Tarabay, Alexandra Zhang Jiang, Ziteng Liu, Rachel Villamor, Derek Cha, Ananya Renuka Balakrishna, Tianshu Liu, Priyanshu Agarwal, Rainer Dömer, Camilo Velez   +9 more
wiley   +1 more source

Array Observations for Long-Period Basin Ground Motions in the Taipei Region during the M 7.1 Eastern Taiwan Offshore Earthquake of 31 March 2002

Terrestrial, Atmospheric and Oceanic Sciences, 2010
This paper tracks the time history and spatial variation of the long-period (1 - 10 sec) strong ground motions recorded in the Taipei basin during the magnitude 7.1 earthquake of 31 March 2002, offshore of eastern Taiwan.
Bor-Shouh Huang, Yi-Ling Huang, Shiann-Jong Lee, Chi-Hsuan Chen, Kou-Cheng Chen, Win-Gee Huang, Shuhjong Tsao   +6 more
doaj   +1 more source

Advances in Electroactive Liquid Crystal Elastomers for Intelligent Robotics and Electronics

Advanced Robotics Research, EarlyView.
Electroactive liquid crystal elastomers (eLCEs) integrate molecular anisotropy with electrical functionality to enable programmable actuation and reconfigurable electronics. This review classifies eLCEs into robotic actuators and adaptive electronics, summarizes key actuation mechanisms, and highlights fabrication strategies that bridge materials to ...
Kavita Ramesh Rathod, Sena Chon, Jae Hyuk Hwang, Sung Hyuk Park, Woohwa Lee, Joonmyung Choi, Shi Hyeong Kim, Seung Hwan Ko, Changsoon Choi, Seon Jeong Kim, Dong‐Gyun Kim, Habeom Lee, Kyung Gook Cho, Woon‐Hong Yeo, Hyun Kim   +14 more
wiley   +1 more source

Instantaneous Core Loss – Cycle-by-Cycle Modeling of Power Magnetics in PWM Converters

IEEE Open Journal of Power Electronics
Nowadays, PWM excitation is one of the most common waveforms seen by magnetic components in power electronic converters. Core loss modeling approaches, such as improved Generalized Steinmetz equation (iGSE) or the loss map based on composite waveform ...
Binyu Cui, Jun Wang, Xibo Yuan, Alfonso Martinez, George Slama, Matthew Wilkowski, Ryosuke Ota, Keiji Wada   +7 more
doaj   +1 more source

NeuroSuite for Long‐Term Functional and Structural Studies of Air‐Liquid Interface Cerebral Organoids

Advanced Science, EarlyView.
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider, Sagnik Middya, Daniel J. Lloyd‐Davies‐Sánchez, Nino F. Läubli, Sulay Vora, Jakob Träuble, Rohan N. Krajeski, Yuqing Feng, Daniel Duncko, Josiah S. Riley, Rubén Ruiz‐Mateos Serrano, Ole Paulsen, Madeline A. Lancaster, George G. Malliaras, Gabriele S. Kaminski Schierle   +14 more
wiley   +1 more source

Traitement des diagraphies acoustiques. Première partie : application de techniques issues de l'intelligence artificielle au pointe des diagraphies acoustiques Full Waveform Acoustic Data Processing. Part One: an Artificial Intelligence Approach for the Picking of Waves on Full-Waveform Acoustic Data

Oil & Gas Science and Technology, 2006
Les enregistrements des données acoustiques en champ total (fuit waveform) ont conduit le géophysicien et le diagraphiste à utiliser des techniques de traitement du signal pour séparer les différentes ondes observées sur les enregistrements.
Mari J. L., Coppens F.
doaj   +1 more source

An On‐Demand Neuromorphic Vision System Enabled by a Multi‐Paradigm Neuromorphic Device and Hierarchical Reconfigurability Designed from Device to System Level

Advanced Science, EarlyView.
An on‐demand ultra‐reconfigurable intelligent vision system with hierarchical reconfigurability from device to system levels is demonstrated. Through co‐design of a multi‐paradigm device, reconfigurable circuits, and adaptive system architecture/algorithms, the system enables seamless switching among spiking, non‐spiking, neuromorphic imaging (NI), and
Biyi Jiang, Jiayi Xu, Liang Ran, Xinhe Feng, Khalil Harrabi, Yida Li, Longyang Lin, Feichi Zhou   +7 more
wiley   +1 more source

P-Wave Arrival-Time Tomography of the Middle East Using ISC-EHB and Waveform Data

Seismica
High-resolution seismic images are essential to gain insights into tectonic and geodynamical processes and assess seismic hazards. We constructed a P-wave model, MEPT (Middle East P-wave Travel-time), of the upper mantle beneath the Middle East and the ...
Ebru Bozdağ, Susini Desilva, Guust Nolet, Ridvan Orsvuran, Rengin Gok, Yahya M. Tarabulsi, Ahmed Hosny, Khalid Yousef, Abdullah Mousa   +8 more
doaj   +1 more source

Enhancing Maturation of Human Neuromuscular Organoids via Electrical Stimulation

Advanced Science, EarlyView.
A framework for on‐demand and non‐invasive exposure of human neuromuscular organoids (NMOs) to electrical stimuli is established to promote their maturation. The robustness and effectiveness of different stimulation regimes are evaluated via thorough characterization of organoid tissue structure and contraction capacity. Chronic electrical stimulation,
Chrysanthi‐Maria Moysidou, Inês Afonso Martins, Ismail Amr El‐Shimy, Iacopo Bicci, Donatella Cea, Christina Bukas, Isra Mekki, Mara‐Camelia Rusu, Aylin Nebol, Ines Lahmann, Marie Piraud, Enrico Klotzsch, Mina Gouti   +12 more
wiley   +1 more source

Effects on a Deep-Learning, Seismic Arrival-Time Picker of Domain-Knowledge Based Preprocessing of Input Seismograms

Seismica
Automated seismic arrival picking on large and real-time seismological waveform datasets is fundamental for monitoring and research. Recent, high-performance arrival pickers apply deep-neural-networks to nearly raw seismogram inputs. However, there is a
Anthony Lomax, Matteo Bagagli, Sonja Gaviano, Spina Cianetti, Dario Jozinović, Alberto Michelini, Christopher Zerafa, Carlo Giunchi   +7 more
doaj   +1 more source