This paper aims to integrate AI (Artificial Intelligence) with medical science to develop a classification tool to recognize Covid-19 infection and other lung ailments. Four conditions evaluated were Covid-19 pneumonia, non-Covid-19 pneumonia, pneumonia and normal lungs. The proposed AI system is divided into 2 stages. Stage 1 classifies chest X-Ray volumes into pneumonia and non-pneumonia. Stage 2 gets input from stage 1 if X-ray belongs to pneumonic class and further classifies it into Covid-19 positive and Covid-19 negative.
A hexagonal shaped six-port multiple-input-multiple-output (MIMO) antenna array comprising of six printed circular monopole antennas with wideband characteristics is presented. Based on the measured data, −10 dB impedance bandwidth of the antenna is found to be from 3.44 GHz to 4.68 GHz. The isolation between the adjacent antenna elements is enhanced by self-cancelation of the induced near field currents by printing a microstrip neutralization line between them. Isolation among antenna elements are greater than 15 dB with an inter-element spacing of 0.076 times the free space wavelength at 3.44 GHz. The maximum gain of the antenna is noted to be 5.1 dBi with an envelope correlation coefficient ≤ 0.4 and channel capacity loss ≤0.0328 bits/S/Hz in its entire operating bandwidth.
We present a method to regenerate diversified code dynamically in a Java bytecode JIT compiler, and to update the diversification frequently during the execution of the program. This way, we can significantly reduce the time frame in which attackers can let a program leak useful address space information and subsequently use the leaked information in memory exploits. A proof of concept implementation is evaluated, showing that even though code is recompiled frequently, we can achieved smaller overheads than the previous state of the art, which generated diversity only once during the whole execution of a program.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.