Results 31 to 40 of about 4,791 (204)

Using Phase Unwrapping Methods to Apply D-InSAR in Mining Areas

Canadian Journal of Remote Sensing, 2019
Phase unwrapping is one of the key processing steps of D-InSAR (Differential Interferometric Synthetic Aperture Radar), and its accuracy has a great impact on the accuracy of interferometric deformation results.
Bei Zhang, Jiuyi Li, Hongrui Ren
doaj   +1 more source

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

Advanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari, Supharoek Sornsomrit, Muhammad Ayaz Akbar, Stephan Rudykh   +3 more
wiley   +1 more source

Airborne InSAR Interferometric Phase Analysis, Unwrapping Method, and Fast Implementation in Low Coherence Areas

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Due to synthetic aperture radar (SAR) imaging geometry and scattering characteristics, there are some low coherence areas in interferometric SAR (InSAR) data, such as shadow and water, where the interferometric phase is discontinuous.
Fangfang Li, Chibiao Ding, Yueting Zhang, Donghui Hu   +3 more
doaj   +1 more source

From Rigid to Soft Robotic Approaches for Neuroendoscopy

Advanced Robotics Research, EarlyView.
Robotic assistance has had minimal impact on deep intraventricular surgeries, where small‐scale, precision, and reduced invasiveness can contribute to improved patient outcomes. Emerging technologies in rigid, soft, and hybrid robotics are reviewed to identify the most promising mechanisms for deep brain navigation in addition to an attempt to identify
Kieran Gilday, Irena Zubak, Andreas Raabe, Josie Hughes   +3 more
wiley   +1 more source

An Anti-Noise-Designed Residual Phase Unwrapping Neural Network for Digital Speckle Pattern Interferometry

Optics
DSPI (Digital Speckle Pattern Interferometry) is a non-destructive optical measurement technique that obtains phase information of an object through phase unwrapping.
Biao Wang, Xiaoling Cao, Meiling Lan, Chang Wu, Yonghong Wang   +4 more
doaj   +1 more source

Compliant Pneumatic Feet with Real‐Time Stiffness Adaptation for Humanoid Locomotion

Advanced Robotics Research, EarlyView.
A compliant pneumatic foot with real‐time variable stiffness enables humanoid robots to adapt to changing terrains. Using onboard vision and pressure control, the foot modulates stiffness within each gait cycle, reducing impact forces and improving balance. The design, cast in soft silicone with embedded air chambers and Kevlar wrapping, offers durable,
Irene Frizza, Hiroshi Kaminaga, Philippe Fraisse, Gentiane Venture   +3 more
wiley   +1 more source

C-HRNet: High Resolution Network Based on Contexts for Single-Frame Phase Unwrapping

IEEE Photonics Journal
Phase unwrapping is an important research direction in fringe projection profilometry. Improving the accuracy of phase unwrapping from a single wrapped phase map has been a research focus.
Wenbo Zhao, Jing Yan, Dongyang Jin, Jing Ling   +3 more
doaj   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

EPUN: Efficient 2D Phase Unwrapping With a Lightweight Neural Network

IEEE Access
Phase unwrapping is a fundamental task. In recent years, deep learning has been widely used for phase unwrapping in different fields. Nevertheless, along with the unwrapping performance improvement of deep networks, their structures become more and more ...
Zhiliang Zhang, Fang Luo, Ying Liu, Yin Zhang   +3 more
doaj   +1 more source

Multiscale Architecture and Mechanics of the Cell Nucleus: Implications for Disease, Bioengineering and Nanomedicine

Advanced Science, EarlyView.
Nuclear mechanical properties are inherently scale‐dependent, arising from a hierarchical architecture that spans DNA, chromatin, the nuclear envelope, and condensates. Experimental techniques and theoretical models are integrated into a cohesive multiscale framework linking nanoscale structural features to organelle‐level mechanical behavior.
Xinran Liu, Xin Chen, Qingyang Zhao, Weikang Tan, Lingrui Zhu, Kin Liao, Vincent Chan, Nicolae Goga, Winfred O. Larkotey, Yang Li, Yinghui Shi, Wenya Shu, Lin Wang, Weiqing Wang, Tian Jian Lu, Yulong Han   +15 more
wiley   +1 more source