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Ultrasonic characterization of emulsions: milk and water in oil
(1999-12-01)
Measurements of ultrasonic attenuation and velocity in milk and low concentration water-in-oil (W/O) emulsion were conducted, using a measurement cell with a double-element transducer that eliminates diffraction losses. ...
Ultrasonic characterization of emulsions: milk and water in oil
(1999-12-01)
Measurements of ultrasonic attenuation and velocity in milk and low concentration water-in-oil (W/O) emulsion were conducted, using a measurement cell with a double-element transducer that eliminates diffraction losses. ...
Measurement and modeling of propagation losses in brick and concrete walls for the 900-mhz bandIEEE TRANSACTIONS ON ANTENNAS AND PROPAGATIONIEEE T ANTENN PROPAG
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2017)
Nonlinear multicore waveguiding structures with balanced gain and loss
(American Physical Society, 2015)
We study existence, stability, and dynamics of linear and nonlinear stationary modes propagating in radially
symmetric multicore waveguides with balanced gain and loss.We demonstrate that, in general, the system can ...
Measurement and modeling of propagation losses in brick and concrete walls for the 900-mhz band
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2002)
Evaluation of LoRaWAN transmission range for wireless sensor networks in riparian forests.
(Association for Computing Machinery, Incacmhelp@acm.org, 2019)
© 2019 Copyright held by the owner/author(s). Publication rights licensed to ACM. Low power wide area networks (LPWAN) such as long range wide area networks (LoRaWAN), provide several advantages on monitoring systems ...
Phase Transition in PT Symmetric Active Plasmonic Systems
(IEEE, 2016)
Surface plasmon polaritons (SPPs) are coherent electromagnetic surface waves trapped on an insulator-conductor interface. The SPPs decay exponentially along the propagation due to conductor losses, restricting the SPPs ...
Machine Learning Classifier Approach with Gaussian Process, Ensemble boosted Trees, SVM, and Linear Regression for 5G Signal Coverage Mapping
This article offers a thorough analysis of the machine learning classifiers approaches for the collected Received Signal Strength Indicator (RSSI) samples which can be applied in predicting propagation loss, used for network ...