ABSTRACT
The neutrosophic approach is a potential area to provide a novel framework for dealing with uncertain data. This study aims to introduce the neutrosophic Maxwell distribution (M̃D) for dealing with imprecise data. The proposed notions are presented in such a manner that the proposed model may be used in a variety of circumstances involving indeterminate, ambiguous, and fuzzy data. The suggested distribution is particularly useful in statistical process control (SPC) for processing uncertain values in data collection. The existing formation of VSQ-chart is incapable of addressing uncertainty on the quality variables being investigated. The notion of neutrosophic VSQchart (Ṽ SQ) is developed based on suggested neutrosophic distribution. The parameters of the suggested Ṽ SQ-chart and other performance indicators, such as neutrosophic power curve (P̃C), neutrosophic characteristic curve (C̃C) and neutrosophic run length (R̃L) are established. The performance of the Ṽ SQ-chart under uncertain environment is also compared to the performance of the conventional model. The comparative findings depict that the proposed Ṽ SQ-chart outperforms in consideration of neutrosophic indicators. Finally, the implementation procedure for real data on the COVID-19 incubation period is explored to support the theoretical part of the proposed model © 2023,Neutrosophic Sets and Systems. All Rights Reserved.
ABSTRACT
This paper presents a review on the state-of-the-art of 'Stealth Communication' (SC), focused on potential applications in 5G/6G. SC is a new wireless system aimed at enhancing spectral efficiency and cybersecurity/privacy based on employing Ultra-Wide-Band (UWB) RF signals that mimic noises in wave form and below-noise-level at the receiver frontend. For 5G/6G applications, Same Frequency (SF) Simultaneous Transmit and Receive (STAR) operating bandwidth covering 400 MHz to 11 GHz, and their Technology Readiness Level, are discussed. Implementation of SC in 5G/6G, held back so far by high costs and Covid-19, should be able to gain enough momentum under the thrusts of rising cyber attacks in 2021. © 2021 IEEE.