Results 61 to 70 of about 2,588 (207)

Ultra‐Fast and Energy‐Efficient PZT Optical Tunable Delay Lines for Programmable Photonic Systems

Laser &Photonics Reviews, EarlyView.
Thin‐film PZT enables optical tunable delay lines that simultaneously offer sub‐nanosecond switching, low propagation loss, and zero‐static‐power programmability. A five‐bit on‐chip delay line provides a maximum delay of 387.5 ps with a resolution of 12.5 ps, while reconfigurable MZI splitting ratios further enable non‐volatile optical arbitrary ...
Cunyu Shi, Chenlei Li, Wei Chen, Shengjie Tang, Tao Shu, Haojie Zhu, Haorui Liu, Yueyang Zhang, Long Zhang, William Shieh, Feng Qiu, Daoxin Dai   +11 more
wiley   +1 more source

Estimating snow depth on Arctic sea ice using satellite microwave radiometry and a neural network [PDF]

The Cryosphere, 2019
Snow lying on top of sea ice plays an important role in the radiation budget because of its high albedo and the Arctic freshwater budget, and it influences the Arctic climate: it is a fundamental climate variable.
A. Braakmann-Folgmann, C. Donlon
doaj   +1 more source

Towards operational assimilation of surface‐sensitive microwave radiances over land at Environment and Climate Change Canada: Investigation of key factors using a 1D‐EnVar framework

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The study evaluates five factors affecting the assimilation of surface‐sensitive Advanced Microwave Sounding Unit‐A (AMSU‐A) radiances over land, including the simultaneous estimation of surface emissivity and the standard set of state variables, to improve numerical weather prediction (NWP) at Environment and Climate Change Canada (ECCC).
Zheng Qi Wang, Mark Buehner, Yi Huang, Maziar Bani Shahabadi, Joël Bédard   +4 more
wiley   +1 more source

A new method to identify and explain sources of precipitation modification, illustrated for the western Netherlands

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study develops a method to identify the source areas of precipitation events, as illustrated for the western part of the Netherlands. Radar‐based precipitation data are traced back to their source areas and machine‐learning techniques are used to identify hypothesized causes: urban heat, surface roughness, and air pollution. We find that urban and
Jelmer van der Graaff, Gert‐Jan Steeneveld   +1 more
wiley   +1 more source

Fast Localization of Impact Damage on Woven CFRP Based on Sparse Microwave Imaging [PDF]

, 2020
Microwave open-ended waveguide scanning has been proved to be a promising NDT technique for imaging of woven carbon fiber reinforced plastic (CFRP) with impact damages. However, it uses a conventional C-scan technique, which is excessively time-consuming and therefore it is not practical for defect detection in a large area.
Sutthaweekul, Ruslee, Tian, Gui Yun
openaire   +1 more source

Observations and numerical simulations of a valley‐exit wind in the Alpine Bolzano basin

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The evolution and spreading of the nocturnal valley‐exit wind flowing from the Isarco Valley into the Bolzano basin, in the Italian Alps, are found to be influenced by the basin temperature stratification. Measurements and high‐resolution simulations show that a cold‐air pool favors an upward trajectory of the flow at the exit of the valley.
Federica Gucci, Andrea Zonato, Marco Falocchi, Dino Zardi, Lorenzo Giovannini   +4 more
wiley   +1 more source

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

Journal of Field Robotics, EarlyView.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini, Lorenzo Guerrini, Marco Fontanelli, Lucia Bortolini   +3 more
wiley   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

Microwave Coincidence Imaging with Phase-Coded Stochastic Radiation Field

Remote Sensing
Microwave coincidence imaging (MCI) represents a novel forward-looking radar imaging method with high-resolution capabilities. Most MCI methods rely on random frequency modulation to generate stochastic radiation fields, which introduces the complexity ...
Hang Lin, Hongyan Liu, Yongqiang Cheng, Ke Xu, Kang Liu, Yang Yang   +5 more
doaj   +1 more source

Model-Corrected Microwave Imaging through Periodic Wall Structures

International Journal of Antennas and Propagation, 2012
A model-based imaging framework is applied to correct the target distortion seen in microwave imaging through a periodic wall structure. In addition to propagation delays caused by the wall, it is shown that the structural periodicity induces high-order ...
Paul C. Chang, Robert J. Burkholder, John L. Volakis   +2 more
doaj   +1 more source