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Trustworthy clash-free surveillance using virtual emotion detection in 6G-assisted graded districts

Sooeon Lee, Seungheyon Lee, Yumin Choi, Hyunbum Kim

Year
2022
Citations
7

Abstract

It is highly necessary that a barrier of virtual emotion detection for surveillance reinforcement aims to fit with multi districts instead of only single area. This paper proposes a trustworthy clash-free surveillance framework using virtual emotion detection with 6G-enabled multi districts. Then, we formally define a problem with ILP representations. Its goal is to minimize the total moving trajectory of system members including mobile robots and UAVs such that trustworthy clash-free security barrier by low-cost moving strategy is created in the requested 6G-enabled districts. To solve the problem, we devise two different schemes and evaluate their outcomes through extensive simulations.

Keywords

TrustworthinessComputer scienceTrajectoryComputer securityRobotPower (physics)Artificial intelligenceHuman–computer interactionReal-time computing

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