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A Virtual Emotion Detection System With Maximum Cumulative Accuracy in Two-Way Enabled Multi Domain IoT Environment
IEEE Communications Letters ( IF 3.7 ) Pub Date : 2021-02-22 , DOI: 10.1109/lcomm.2021.3060737
Hyunbum Kim , Jalel Ben-Othman

In this letter, we introduce a multiplex cumulative virtual emotion detection system for two-way enabled multi domain IoT environment, which avoids detection holes in all IoT domains. Formally, we define a problem whose objective is to maximize cumulative accuracy of detection holes on condition that perpendicular barriers or horizontal barriers are constructed in every domain area. After presenting the defined problem with ILP formulation, we devise a novel scheme to solve the problem. Moreover, we evaluate the obtained results through extensive experiments.

中文翻译:


在双向启用的多域物联网环境中具有最大累积精度的虚拟情绪检测系统



在这封信中,我们介绍了一种用于双向启用的多域物联网环境的多重累积虚拟情绪检测系统,它避免了所有物联网域中的检测漏洞。形式上,我们定义一个问题,其目标是在每个域区域构建垂直障碍或水平障碍的情况下最大化检测孔的累积精度。在用 ILP 公式提出定义的问题后,我们设计了一种新颖的方案来解决该问题。此外,我们通过大量实验评估所获得的结果。
更新日期:2021-02-22
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