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Wavelet Analysis of Differential TEC Measurements Obtained Using LOFAR

  •  30 March 2024

Key Points

  • Differential Total Electron Content measurements from LOFAR are a valuable source of information on the mid-latitude ionosphere

  • Ionospheric waves with wavelengths between 100 and 500 km can be identified using these measurements

  • Noise spectra are estimated to provide confidence limits for estimated wave parameters

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Cross‐Polarization Gain Calibration of Linearly Polarized VLBI Antennas by Observations of 4C 39.25

  •  28 March 2024

Key Points

  • The new-generation geodetic radio telescopes observe two orthogonal linear polarization directions

  • Calibration of the gain differences between the two polarizers is necessary to maximize the signal-to-noise ratio of observations

  • We investigate these cross-polarization gain differences and their temporal evolution for selected antennas

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Issue Information

  •  27 March 2024
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Spectroscopic Evaluation of Epidermis‐Equivalent Phantom in Terahertz‐Frequency Region

  •  26 March 2024

Key Points

  • The complex refractive index and reflectance of an epidermis-equivalent phantom were evaluated in the terahertz frequency region

  • Complex refractive indices of the epidermis of porcine skin and the epidermis-equivalent phantom were compared using a THz spectrometer

  • A rough surface of the epidermis-equivalent phantom was required to match the reflectance of the phantom with that of the epidermis

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A Cryogenic Wideband (2.5–14 GHz) Receiver System for the Arecibo Observatory 12 m Telescope

  •  23 March 2024

Key Points

  • Successful commissioning of a wideband, cryogenic receiver for the 12 m telescope at the Arecibo Observatory

  • Achieved system temperature of 40 K and gains of 0.025 K/Jy and 0.018 K/Jy at frequencies 3.1 and 8.6 GHz respectively

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Issue Information

  •  26 February 2024
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Variation in the Reflection Height of VLF/LF Transmitter Signals in the D‐Region Ionosphere and the Possible Source: A 2018 Meteoroid in Hokkaido, Japan

  •  26 February 2024

Key Points

  • Periodic variation of 100–200 s was observed at very low-frequency/low-frequency amplitudes and in seismic data at the time of acoustic wave arrival

  • The acoustic wave originated near the endpoint (25 km altitude) of the meteoroid trajectory

  • The disturbed ionospheric area was estimated to be south of the Rikubetsu receiver, at 90 km height

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Measurement and Calibration of EMF: A Study Using Phone and GBDT for Mobile Communication Signals

  •  19 February 2024

Key Points

  • Using smartphones and machine learning to measure the electric field strength of mobile communication signals

  • A system converting the power of mobile communication signals to electric field strength with high accuracy

  • Suitable for large-scale and low-cost measurement of the electric field strength of mobile communication signals

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Processing of VLF Amplitude Measurements: Deduction of a Quiet Time Seasonal Variation

  •  10 February 2024

Key Points

  • VLF signal processing with robust statistical methods, Median of Absolute Deviations and Pruned Exact Linear Time

  • Deduction of quiet time amplitude behavior through change point detection and systematic outlier filtering

  • VLF signal amplitude seasonal variation identified for five different transmitter-receiver paths during undisturbed conditions

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Electron Density Specification in the Inner Magnetosphere From the Narrow Band Receiver Onboard DSX

  •  6 February 2024

Key Points

  • U-Net can automatically extract plasma frequencies from in situ wave receivers after it is trained from spectrograms with accurate labels

  • Electron densities and cyclotron frequencies for the entire DSX mission are published for other research and applications

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Dual‐Band Reflectarray Antennas Using Integrated Resonant and Non‐Resonant Natures of Metallic Waveguide Elements at Millimeter Wave Frequencies

  •  16 January 2023

Key Points

  • This paper proposed to develop configurable composite reflecting elements for dual-band reflectarray antennas using die-casting technology

  • The configurability allows the reflectarray to operate at two frequency bands with a separated focusing mechanism

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GMSK Demodulation Combining 1D‐CNN and Bi‐LSTM Network Over Strong Solar Wind Turbulence Channel

  •  13 January 2023

Key Points

  • The K distribution channel model for the strong solar wind turbulence is innovatively established by analyzing the model of telemetry signal amplitude fluctuation caused by solar wind turbulence

  • To demodulate the Gaussian minimum frequency shift keying (GMSK) signals over strong solar wind turbulence channel, two neural network demodulators based on bidirectional long short-term memory network (LSTM) and one-dimensional convolutional neural network (1D-CNN) are designed, which can obtain better bit error rate performance than the conventional coherent demodulation

  • By combining the feature extraction capability of the 1D-CNN and the processing capability of LSTM for time series, we propose a novel GMSK demodulator

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Model to Scale Rain Attenuation Time Series With Link Elevation Angle for LEO Satellite Based Systems

  •  13 January 2023

Key Points

  • A model to scale rain attenuation time series with link elevation angle offering better accuracy over the customary cosecant law scaling

  • The model generates a set of rain attenuation time series maintaining the time and space correlation as a function of link elevation

  • The model's accuracy is evaluated in two sites with different climatic features

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Computation of Optical Refractive Index Structure Parameter From Its Statistical Definition Using Radiosonde Data

  •  9 January 2023

Key Points

  • Profiles of the optical refractive index structure parameter can be obtained using high-density radiosonde data

  • These profiles are site-dependent and enable to identify local optical turbulent layers associated with temperature inversions

  • The presented model has been validated with thermosonde measurements

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Generalization Ability of Deep Learning Algorithms Trained Using SEM Data for Objects Classification

  •  17 November 2022

Key Points

  • Classification of spherical objects is achieved by using preprocessed data from the singularity expansion method (SEM)

  • The residues allow to determine the position of the antenna relative to an object

  • SEM data provide good noise robustness, high classification accuracy, and excellent generalization to any object size

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Statistics of total electron content depletions observed over the South American continent for the year 2008

Key Points

  • First time regional plots of TEC depletions
  • New numerical algorithm developed to automatically detect TEC depletions
  • Day-to-day variability of TEC depletions in a regional basis

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Large ionospheric disturbances produced by the HAARP HF facility

Key Points

  • HAARP facility produces unique results
  • Artificial plasma clouds are emission and optical signatures
  • Future HAARP experiments are needed to explain physics

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Accurate measurements of the dielectric constant of seawater at L band

Key Points

  • Dielectric measurements of seawater are made with a microwave cavity at 1.413 GHz
  • Measurements are made as a function of temperature and salinity for values found in open ocean
  • Accuracy is better than 0.3 for both real and imaginary parts of the dielectric constant

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Fresnel Reflection and Transmission Coefficients for Temporally Dispersive Attenuative Media

Key Points

  • General expressions for Fresnel reflection and transmission coefficients for homogeneous and inhomogeneous plane waves are derived for TE- and TM polarized plane waves in complex media with loss
  • The critical angle for total internal reflection remains unchanged when material loss is included; the polarizing angle (for a TM polarized plane wave is changed otherwise, a pseudo Brewster's angle occurs at which the magnitude of the TM) polarization reflection coefficient is a minimum
  • Total reflection at grazing incidence on the optically denser medium does not occur when both media exhibit loss; total reflection does not occur at critical incidence when both media exhibit loss.

Plain Language Summary

Amplitude reflection and transmission coefficients for a time-harmonic electromagnetic plane wave incident upon a plane interface separating two different lossy media are developed.

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A Review on Different Techniques of Mutual Coupling Reduction Between Elements of Any MIMO Antenna. Part 1: DGSs and Parasitic Structures

Key Points

  • Multiple-Input-Multiple-Output (MIMO) patch antenna is required for high data rate transmission without additional bandwidth requirement

  • Mutual coupling reduction among antenna elements is a significant challenge while designing a compact antenna array system

  • Defected Ground Structures and Parasitics elements/structures for mutual coupling reduction have been discussed thoroughly in this article

Plain Language Summary

A comprehensive two-part review article with more than 330 references is proposed.

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Calculating the absorption of HF radio waves in the ionosphere

Key Points

  • Either the Appleton-Hartree or Sen Wyller dispersion relation can be used to calculate absorption
  • It is necessary to utilize the correct collision frequency specification for each dispersion relation
  • Geophysical variations of collision frequency should be included in absorption calculations

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An Indoor Path Loss Prediction Model Using Wall Correction Factors for Wireless Local Area Network and 5G Indoor Networks

Key Points

  • A modified effective wall loss model (EWLM) for indoor environment is presented
  • Real-time measurements and simulations for various indoor path loss models are used
  • Several frequency spectrum band were considered for evaluation purposes

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Breast Cancer Detection Based on Simplified Deep Learning Technique With Histopathological Image Using BreaKHis Database

Key Points

  • The results of an investigation to determine effectiveness of deep learning (DL)-based systems for detecting breast cancer is presented

  • The strategy here for DL training uses various image processing techniques for extracting different feature patterns

  • It is shown that the convolutional neural network models provide different results for different degrees of image resolution

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