Results 91 to 100 of about 6,781,125 (373)

Quasi‐Static Compression Response and Energy Absorption of CNTF/EP Origami Thin‐Walled Tubes

open access: yesAdvanced Materials Interfaces, EarlyView.
This research innovatively uses CNTF/EP composite material to fabricate origami thin‐walled tubes, investigating their quasi‐static compression deformation modes and performance. It examines the effects of introducing secondary creases on deformation modes and the energy absorption metrics of the thin‐walled tubes.
Bowen Zhang   +5 more
wiley   +1 more source

An adaptive task scheduling algorithm for 3-D target imaging in radar network

open access: yesEURASIP Journal on Advances in Signal Processing, 2022
An effective task scheduling method is the premise and guarantee for cooperative imaging in radar network. In this article, an adaptive task scheduling algorithm for three-dimensional (3-D) target imaging in radar network is investigated.
Dan Wang   +4 more
doaj   +1 more source

Identifying Coordination in a Cognitive Radar Network -- A Multi-Objective Inverse Reinforcement Learning Approach [PDF]

open access: yesarXiv, 2022
Consider a target being tracked by a cognitive radar network. If the target can intercept some radar network emissions, how can it detect coordination among the radars? By 'coordination' we mean that the radar emissions satisfy Pareto optimality with respect to multi-objective optimization over each radar's utility.
arxiv  

Indian Coastal Ocean Radar Network

open access: yesCurrent Science, 2019
As a part of the Indian Ocean Observation Network, National Institute of Ocean Technology operates and maintains a network of high frequency radar (HFR) systems along the Indian coast, known as Indian coastal ocean radar network (ICORN).
B. K. Jena   +4 more
semanticscholar   +1 more source

RADIANT: Radar-Image Association Network for 3D Object Detection

open access: yesAAAI Conference on Artificial Intelligence, 2023
As a direct depth sensor, radar holds promise as a tool to improve monocular 3D object detection, which suffers from depth errors, due in part to the depth-scale ambiguity.
Yunfei Long   +5 more
semanticscholar   +1 more source

Research Progress on Atmospheric Turbulence Perception and Correction Based on Adaptive Optics and Deep Learning

open access: yesAdvanced Photonics Research, EarlyView.
This work presents a systematic review of atmospheric turbulence fundamentals, including theoretical formulations and adaptive optics‐based mitigation strategies. This includes an in‐depth examination of the devices, theories, and methodologies associated with traditional correction approaches.
Qinghui Liu   +5 more
wiley   +1 more source

Nanoarchitectured transition metal oxides and their composites for supercapacitors

open access: yesElectrochemical Science Advances, Volume 2, Issue 6, December 2022., 2022
Abstract Supercapacitors have acquired a considerable scientific and technological position in the energy storage field owing to their compelling power capability, good energy density, excellent cycling stability, and ideal safety. The supercapacitor is the burgeoning candidate to cope with the ever‐growing need for green and renewable energy.
Ankit Kumar   +3 more
wiley   +1 more source

ISAR imaging resource-scheduling algorithm in network radar based on information fusion

open access: yesThe Journal of Engineering, 2019
Aiming at the application requirements of three-dimensional (3-D) fusion imaging of network radar, this study proposes an ISAR imaging resource-scheduling algorithm for network radar.
Aiqiong Li   +3 more
doaj   +1 more source

Radar Signal Intra-Pulse Modulation Recognition Based on Convolutional Neural Network and Deep Q-Learning Network

open access: yesIEEE Access, 2020
Intra-pulse modulation recognition of radar signals is an important part of modern electronic intelligence reconnaissance and electronic support systems.
Zhiyu Qu   +3 more
doaj   +1 more source

Weather Radar Super-Resolution Reconstruction Based on Residual Attention Back-Projection Network

open access: yesRemote Sensing, 2023
Convolutional neural networks (CNNs) have been utilized extensively to improve the resolution of weather radar. Most existing CNN-based super-resolution algorithms using PPI (Plan position indicator, which provides a maplike presentation in polar ...
Qiu Yu   +6 more
doaj   +1 more source

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