Results 51 to 60 of about 6,835 (292)

SURFACE CLUTTER REDUCTION FOR SFCW GROUND PENETRATING RADAR [PDF]

, 2020
Ground Penetrating Radar (GPR) utilizes electromagnetic waves to be transmitted to the ground and have a non-destructive technique. In the detection process, electromagnetic waves touch the surface clutter and then it will continue to underground to ...
QUEEN HESTI RAMADHAMY
core  

Collision‐Resilient Winged Drones Enabled by Tensegrity Structures

Advanced Robotics Research, EarlyView.
Based on structures of birds such as the woodpeck, this article presents the collision‐resilient aerial robot, SWIFT. SWIFT leverages tensegrity structures in the fuselage and wings which allow it to undergo large deformations in a crash, without sustaining damage. Experiments show that SWIFT can reduce impact forces by 70% over conventional structures.
Omar Aloui, Raphael Zufferey, William Stewart, Mohammad Askari, Simon Jeger, Dario Floreano   +5 more
wiley   +1 more source

Modeling of GPR Clutter Caused by Soil Heterogeneity

International Journal of Antennas and Propagation, 2012
In small-scale measurements, ground-penetrating radar (GPR) often uses a higher frequency to detect a small object or structural changes in the ground.
Kazunori Takahashi, Jan Igel, Holger Preetz   +2 more
doaj   +1 more source

A Range-ambiguous Clutter Suppression Method for MIMO Bistatic Airborne Radar

Leida xuebao, 2018
The ground clutter of sidelooking Multiple-Input Multiple-Output (MIMO) bistatic radar has severe problems of range-dependence and clutter spectrum spreading.
Wang Yuzhuo, Zhu Shengqi, Xu Jingwei
doaj   +1 more source

Multimodal Locomotion in Insect‐Inspired Microrobots: A Review of Strategies for Aerial, Surface, Aquatic, and Interfacial Motion

Advanced Robotics Research, EarlyView.
This review identifies key design considerations for insect‐inspired microrobots capable of multimodal locomotion. To draw inspiration, biological and robotic strategies for moving in air, on water surfaces, and underwater are examined, along with approaches for crossing the air–water interface.
Mija Jovchevska, Kaushik Jayaram, Nicole Xu   +2 more
wiley   +1 more source

Clutter reduction technique based on clutter model for automatic target classification in forward scatter radar

, 2022
Classification becomes one of the important elements in the forward scatter radar (FSR) micro-sensors network. This classification performance is dependent on the target’s profile behaviour and the network’s surrounding; and one of the factors that cause
Saleh, Nur Luqman; Universiti Putra Malaysia, Zakaria, Nor Ayu Zalina; Universiti Teknologi MARA, Abd Rashid, Nur Emileen; Universiti Teknologi MARA, Khan, Zuhani Ismail; Universiti Teknologi MARA, Ab Rahim, Siti Amalina Enche; Universiti Teknologi MARA   +4 more
core   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Non-Precipitation Echo Identification in X-Band Dual-Polarization Weather Radar

Remote Sensing
This study proposes a novel quality control method combining fuzzy logic and threshold discrimination for processing X-band dual-polarization radar data from Beijing.
Zihang Zhao, Hao Wen, Lei Wu, Ruiyi Li, Ting Zhuang, Yang Zhang   +5 more
doaj   +1 more source

Signal Processing Methods to Improve Ocean Surface Wave Estimation from a High Frequency Surface Wave Radar [PDF]

, 2011
High frequency surface wave radars are operated as a remote sensor to measure ocean surface parameters to ranges exceeding 200-300 km from the coastline.
Wang, Wei
core  

Schooling Trajectories and the Development of Brain Dynamics: A Comparative Study of Montessori and Traditional Education

Advanced Science, EarlyView.
We investigate whether Montessori and traditional schooling systems shape the developmental trajectory of large‐scale brain dynamics in different ways. We quantify the arrow of time (“non‐reversibility”) in neural activity during resting state and movie‐watching, revealing distinct maturational patterns.
Elvira del Agua, Anira Escrichs, Yonatan Sanz Perl, Morten L. Kringelbach, Adele Diamond, Solange Denervaud, Gustavo Deco   +6 more
wiley   +1 more source