Communications

The OFMC back-end in AVISPA is used to carry out security verification experiments in our scheme for the login and authentication phase,  Case1 in the password and biometric renewal phase, and Case2 in the password and biometric renewal phase, respectively.

Here's the experimental result for the login and authentication phase as a show.

This dataset was used for OFDM Signal Real-Time Modulation Recognition Based on Deep Learning and Software-Defined Radio, which provides additional details and description of the dataset. We generate 6 modulated OFDM baseband signals with header modulation and payload modulation as BPSK+BPSK, BPSK+QPSK, BPSK+8PSK, QPSK+BPSK, QPSK+QPSK, QPSK+8PSK, respectively. The SNR range of each signal is from -10 dB to +20 dB at intervals of 2 dB. There are 4096 pieces of data generated for each signal type under a specific SNR and each piece of data has 1024 samples.

This is an open-access page. All content can be freely downloaded after sign-up. This webpage contains engineering (non-medical, non-clinical) datasets and models .

This webpage also contains data of some work on open unsolved problem in mathematics with implementation in physics where one paper is  more specifically related to electrical engineering and electronics engg., other paper to Mechanical Engg. and Fluid Dynamics, other paper to Chemistry and Bio-chemistry, other paper to signal processing.

Here we introduce so-far the largest subject-rated database of its kind, namely, "Effect of Paddy Rice vegetation on received signal strength between CC2538 SoC 32-bit Arm Cortex-M3 based sensor nodes operating at 2.4 GHz Radio Frequency (RF)". This database contains received signal strength measurements collected through campaigns in the IEEE 802.15.4 standard precision agricultural monitoring infrastructure developed for Paddy Rice crop monitoring from the period 01/07/2020 to 03/11/2020.