Results 141 to 150 of about 6,781,125 (373)

Mechanistic Insights into the Structural Evolution of ZIF‐67 via Electrospinning Strategy Toward High Electromagnetic Wave Absorption Performance of ZIF‐67‐Derived Carbon Nanofibers

Advanced Science, EarlyView.
With 5G and AI robotics rising, electromagnetic radiation risks signal security and health. This work investigates the electromagnetic wave absorption of Co/CNF composites via in situ and ex situ electrospinning strategies. The in situ synthesized sample exhibits superior absorption properties due to enhanced structural uniformity, improved Co ...
Xinhui Cao, Xinyi Wu, Xue Wang, Jiamei Luo, Zhe Zhang, Yi Xue, Guoliang Zhang, Liying Zhang, Hui Zhang, Jianyong Yu   +9 more
wiley   +1 more source

Micro-Doppler Based Human-Robot Classification Using Ensemble and Deep Learning Approaches

, 2018
Radar sensors can be used for analyzing the induced frequency shifts due to micro-motions in both range and velocity dimensions identified as micro-Doppler ($\boldsymbol{\mu}$-D) and micro-Range ($\boldsymbol{\mu}$-R), respectively.
Abdulatif, Sherif, Aziz, Fady, Kleiner, Bernhard, Schneider, Urs, Wei, Qian   +4 more
core   +1 more source

Contactless Triboelectric Sensing for Real‐Time 3D Motion Recognition in Human‐Computer Interaction

Advanced Electronic Materials, EarlyView.
In the era of artificial intelligence and Internet of Things, there is an increasing demand for intuitive and efficient human‐computer interaction (HCI) technologies. This study presents a contactless triboelectric detector‐based HCI system for classifying 3D motion patterns with 99.33% accuracy.
Qinghao Xu, Junhao Gong, Jiayi Chen, Yimeng Zhang, Hongfa Zhao, Jiaqi Yin, Runze Zhao, Chuqiao Lyu, Wenbo Ding, Changsheng Wu   +9 more
wiley   +1 more source

Simulation Model of Logistic Support to Isolated Airspace Smveillance Radar Stations

Promet (Zagreb), 2008
A simulation model of the radar network operation of fivemilitary radar stations has been developed. Simulation waspeiformed in GPSS language and contains the time of operationof five radars through a period of one year, time of plannedpreventive ...
Tomislav Crnković, Ernest Bazijanac, Danko Basch   +2 more
doaj   +1 more source

Towards the azimuthal characteristics of ionospheric and seismic effects of "Chelyabinsk" meteorite fall according to the data from coherent radar, GPS and seismic networks

, 2015
We present the results of a study of the azimuthal characteristics of ionospheric and seismic effects of the meteorite 'Chelyabinsk', based on the data from the network of GPS receivers, coherent decameter radar EKB SuperDARN and network of seismic ...
Bakhtiyarov, V. F., Berngardt, O. I., Dobrynina, A. A., Kusonsky, O. A., Kutelev, K. A., Perevalova, N. P., Shestakov, N. V., Zagretdinov, R. V., Zherebtsov, G. A.   +8 more
core   +1 more source

Decoupling Membrane Electrode Assembly Materials Complexity from Fuel Cell Performance through Image‐Based Multiphase and Multiphysics Modelling

Advanced Energy Materials, EarlyView.
A high‐resolution image‐based multiphase and multi‐physics modelling framework is developed to decouple structural changes in the membrane electrode assemblies of high‐temperature proton exchange membrane fuel cells. These changes are then digitally combined to show how morphological defects such as membrane pores, catalyst cracks, and phase migration ...
Jianuo Chen, Wenjia Du, Zunmin Guo, Xuekun Lu, Matthew P. Tudball, Xiaochen Yang, Zeyu Zhou, Shangwei Zhou, Alexander Rack, Bratislav Lukic, Paul R. Shearing, Sarah J. Haigh, Stuart M. Holmes, Thomas S. Miller   +13 more
wiley   +1 more source

Multi-Mode Radar Target Detection and Recognition Using Neural Networks

International Journal of Advanced Robotic Systems, 2012
In typical radar systems, the process of recognizing a target requires human involvement. This human element makes radar systems not fully reliable due to unstable performance that varies between operators.
Janette C. Briones, Benjamin Flores, Raul Cruz-Cano   +2 more
doaj   +1 more source

A Coverage Theory of Bistatic Radar Networks: Worst-Case Intrusion Path and Optimal Deployment [PDF]

arXiv, 2012
In this paper, we study optimal radar deployment for intrusion detection, with focus on network coverage. In contrast to the disk-based sensing model in a traditional sensor network, the detection range of a bistatic radar depends on the locations of both the radar transmitter and radar receiver, and is characterized by Cassini ovals. Furthermore, in a
arxiv  

Deep Learning on Radar Centric 3D Object Detection [PDF]

arXiv, 2020
Even though many existing 3D object detection algorithms rely mostly on camera and LiDAR, camera and LiDAR are prone to be affected by harsh weather and lighting conditions. On the other hand, radar is resistant to such conditions. However, research has found only recently to apply deep neural networks on radar data.
arxiv  

HF Radar Activity in European Coastal Seas: Next Steps toward a Pan-European HF Radar Network

Frontiers in Marine Science, 2017
High Frequency radar (HFR) is a land-based remote sensing instrument offering a unique insight to coastal ocean variability, by providing synoptic, high frequency and high resolution data at the ocean atmosphere interface.
A. Rubió, J. Mader, L. Corgnati, Carlo Mantovani, A. Griffa, A. Novellino, C. Quentin, L. Wyatt, J. Schulz-Stellenfleth, J. Horstmann, P. Lorente, E. Zambianchi, M. Hartnett, C. Fernandes, V. Zervakis, P. Gorringe, A. Melet, I. Puillat   +17 more
semanticscholar   +1 more source