A Multi-Modal Framework for Future Emergency Systems

被引：2
|
作者：
Basil, Ahmed Osama [1 ]
Mu, Mu [1 ]
Agyeman, Michael Opoku [1 ]
机构：
[1] Univ Northampton, Fac Arts Sci & Technol, Northampton, England
来源：
2019 IEEE SMARTWORLD, UBIQUITOUS INTELLIGENCE & COMPUTING, ADVANCED & TRUSTED COMPUTING, SCALABLE COMPUTING & COMMUNICATIONS, CLOUD & BIG DATA COMPUTING, INTERNET OF PEOPLE AND SMART CITY INNOVATION (SMARTWORLD/SCALCOM/UIC/ATC/CBDCOM/IOP/SCI 2019) | 2019年
基金：
英国科研创新办公室;
关键词：
D O I：
10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00048
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Internet of Things (IoT) envisages a world of connected devices paired with automation systems that aid everyone in their daily activities and communities at large. One of the most prominent use cases of IoT is emergency services. Based on the lessons learned from the tragic Grenfell Tower incident in the UK, we designed an IoT framework that aims at supporting rescue services to quickly locate and identify victims in an event of emergency by using a range of heterogeneous smart systems. Based on the framework design, a prototype is developed using a RFID access control and a drone system. We also incorporate design specifications that minimise the risk of data and privacy breaches.
引用
收藏
页码：17 / 20
页数：4
相关论文
共 50 条
  • [1] Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment
    Li, Qian
    Ji, Cheng
    Guo, Shu
    Liang, Zhaoji
    Wang, Lihong
    Li, Jianxin
    FINDINGS OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS - EMNLP 2023, 2023, : 987 - 999
  • [2] ATOM: A general calibration framework for multi-modal, multi-sensor systems
    Oliveira, Miguel
    Pedrosa, Eurico
    de Aguiar, Andre Pinto
    Rato, Daniela Ferreira Pinto Dias
    dos Santos, Filipe Neves
    Dias, Paulo
    Santos, Vitor
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 207
  • [3] MultiJAF: Multi-modal joint entity alignment framework for multi-modal knowledge graph
    Cheng, Bo
    Zhu, Jia
    Guo, Meimei
    NEUROCOMPUTING, 2022, 500 : 581 - 591
  • [4] Intelligent multi-modal systems
    Tsui, KC
    Azvine, B
    Djian, D
    Voudouris, C
    Xu, LQ
    BT TECHNOLOGY JOURNAL, 1998, 16 (03): : 134 - 144
  • [5] Intelligent multi-modal systems
    Hong Kong Polytechnic University, Hong Kong
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    不详
    BT Technol J, 3 (134-144):
  • [6] TRUSTWORTHY MULTI-MODAL FRAMEWORK FOR LIFE-CRITICAL SYSTEMS SECURITY
    Rao, Aakarsh
    Rozenblit, Jerzy
    Lysecky, Roman
    Sametinger, Johannes
    PROCEEDINGS OF THE ANNUAL SIMULATION SYMPOSIUM (ANSS 2018), 2018, 50 (02):
  • [7] SHRIMPS: A framework for evaluating multi-user, multi-modal implicit authentication systems
    Chen, Jiayi
    Hengartner, Urs
    Khan, Hassan
    COMPUTERS & SECURITY, 2024, 137
  • [8] Customizable Multi-Modal Mixed Reality Framework
    Omary, Danah
    2024 IEEE CONFERENCE ON VIRTUAL REALITY AND 3D USER INTERFACES ABSTRACTS AND WORKSHOPS, VRW 2024, 2024, : 1140 - 1141
  • [9] Introduction to a Framework for Multi-modal and Tangible Interaction
    Lo, Kenneth W. K.
    Tang, Will W. W.
    Ngai, Grace
    Chan, Stephen C. F.
    Tse, Jason T. P.
    IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN AND CYBERNETICS (SMC 2010), 2010,
  • [10] Exploiting Multi-Modal Interactions: A Unified Framework
    Li, Ming
    Xue, Xiao-Bing
    Zhou, Zhi-Hua
    21ST INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI-09), PROCEEDINGS, 2009, : 1120 - 1125
12345