Results 121 to 130 of about 2,099,062 (301)

A Low-Cost and Compact Three-Dimensional Microwave Holographic Imaging System

, 2019
With the significant growth in the use of non-metallic composite materials, the demands for new and robust non-destructive testing methodologies is high. Microwave imaging has attracted a lot of attention recently for such applications.
Hailun Wu, Reza K. Amineh
core   +1 more source

1.5 µm Emission Properties of Erbium‐Implanted Thin‐Film Lithium Niobate

Advanced Optical Materials, EarlyView.
Optically active Er3+ ions are incorporated into x‐cut lithium niobate on insulator utilising a focused ion‐beam implantation method capable of sub‐100 nm precision. The implanted regions exhibit telecom‐band emission, with a reduction in photoluminescence intensity and lifetime below 50 K, consistent with pyroelectric‐field effects in the host ...
Daniel Blight, Mason Adshead, Alessandro Prencipe, Maryam Sanaee, Katia Gallo, Richard J Curry   +5 more
wiley   +1 more source

Microwave Engineering Europe magazine articles regarding software suppliers benchmarking, including Optimization Systems Associates

, 1997
File includes nine articles published in Microwave Engineering Europe magazine between 1990 and 1997, comparing responses to specific engineering problems and state-of-the-art advancements to engineering design.
Microwave Engineering Europe
core   +1 more source

A Novel Jamming Method Based on Micro‐Doppler Modulation and Electromagnetic Meta‐Materials

IET Radar, Sonar & Navigation
The rotating corner reflector is widely used in passive jamming methods because of its micro‐Doppler modulation effect on the echo signal of synthetic aperture radar.
Guikun Liu, Honglin Li, Feng Ming, Liang Li, Jingwen Mou, Chen Song, Zhengshuai Li, Peng Wang   +7 more
doaj   +1 more source

MFE-STN: A Versatile Front-End Module for SAR Deception Jamming False Target Recognition

Remote Sensing
Advanced deception countermeasures now enable adversaries to inject false targets into synthetic-aperture-radar (SAR) imagery, generating electromagnetic signatures virtually indistinguishable from genuine targets, thus destroying the separability ...
Liangru Li, Lijie Huang, Tingyu Meng, Cheng Xing, Tianyuan Yang, Wangzhe Li, Pingping Lu   +6 more
doaj   +1 more source

Swarm optimization methods in microwave imaging

, 2012
Swarm intelligence denotes a class of new stochastic algorithms inspired by the collective social behavior of natural entities (e.g., birds, ants, etc.).
RANDAZZO, ANDREA
core   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

A Real-Time MPSoC-Based Back Projection Accelerator for High-Accuracy Large-Size SAR Imaging Using Truncated Sinc Reconstruction and Mixed Precision Design

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The back projection (BP) algorithm has become an important method for achieving high-resolution synthetic aperture radar imaging due to its model-free assumptions, high imaging accuracy, and strong trajectory adaptability. However, its high computational
Xinyu Hu, Yinshen Wang, Jiabao Guo, Yao Cheng, Qiancheng Yan, Jiangyu Yao, Xiaolan Qiu   +6 more
doaj   +1 more source

A Simple Microwave Imaging System for Food Product Inspection through a Symmetry-Based Microwave Imaging Approach. [PDF]

Sensors (Basel), 2023
Bellizzi G, Buzzin A, Crocco L, Mastrandrea A, Zeni N, Zumbo S, Cavagnaro M.   +6 more
europepmc   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source