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02422nam a2200469Ia 4500 |
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10.1109-TITS.2022.3172668 |
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220630s2022 CNT 000 0 und d |
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|a 15249050 (ISSN)
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245 |
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|a Differential Security Barriers for Virtual Emotion Detection in Maritime Transportation Stations With Cooperative Mobile Robots and UAVs
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|b Institute of Electrical and Electronics Engineers Inc.
|c 2022
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|a A Maritime Transportation System (MTS) accomplishes diverse tasks including efficient route, information management, transportation stations. In particular, security and surveillance should be one of critical topics in IoT-supported MTS. In this paper, we introduce a secure framework that creates differential security barriers for virtual emotion detection in IoT-assisted maritime transportation systems. We formally define a problem whose goal is to maximize the number of differential security barriers by mobile robots and UAVs. To solve the problem, we propose two different schemes to provide an improved security detection in priority area so that the proposed methods create the maximum number of security barriers to fit with discriminative security levels in MTS subareas. Then, we analyze their performances through various settings and scenarios with detailed discussions. Author
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|a Communication system security
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|a Communication system security
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|a Emotion detection
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|a Emotion recognition
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|a Emotion recognition
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|a Information management
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|a Internet of things
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|a Maritime transportation
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|a Maritime transportation system
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|a Maritime transportation system
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|a mobile robots
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|a Mobile robots
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|a Mobile robots
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|a Security
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|a Security
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|a security barriers
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|a Security barriers
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|a Surveillance
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|a Task analysis
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|a Task analysis
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|a Transportation
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|a Transportation routes
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|a UAV.
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|a UAVs.
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|a virtual emotion
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|a Virtual emotion
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|a Kim, H.
|e author
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|a Lee, S.
|e author
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|a Lee, S.
|e author
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|t IEEE Transactions on Intelligent Transportation Systems
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856 |
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|z View Fulltext in Publisher
|u https://doi.org/10.1109/TITS.2022.3172668
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