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

页码：17 / 20

页数：4

共 50 条

[41] Multi-modal Knowledge Graphs for Recommender Systems
Sun, Rui
Cao, Xuezhi
Zhao, Yan
Wan, Junchen
Zhou, Kun
Zhang, Fuzheng
Wang, Zhongyuan
Zheng, Kai
CIKM '20: PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, 2020, : 1405 - 1414
[42] Congestion pricing of multi-modal transportation systems
Dong-Joo Moon
Chang-Ho Park
The Annals of Regional Science, 2002, 36 : 455 - 481
[43] Natural, Multi-modal Interfaces for Unmanned Systems
Taylor, Glenn
ENGINEERING PSYCHOLOGY AND COGNITIVE ERGONOMICS: COGNITION AND DESIGN, EPCE 2017, PT II, 2017, 10276 : 145 - 158
[44] Systems issues in distributed multi-modal surveillance
Yu, Li
Boult, Terrance E.
2007 IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOLS 1-8, 2007, : 3919 - +
[45] Heuristic multi-modal integration framework for liver tumor detection from multi-modal non-enhanced MRIs
Zhang, Dong
Xu, Chenchu
Li, Shuo
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 221
[46] Multi-modal anchor adaptation learning for multi-modal summarization
Chen, Zhongfeng
Lu, Zhenyu
Rong, Huan
Zhao, Chuanjun
Xu, Fan
NEUROCOMPUTING, 2024, 570
[47] Modularized multimedia framework for multi-modal and multi-functional interactions
Seongju Chang
Jaedo Chung
Kiwon Seo
Dongjun Suh
Multimedia Tools and Applications, 2012, 56 : 331 - 349
[48] Modularized multimedia framework for multi-modal and multi-functional interactions
Chang, Seongju
Chung, Jaedo
Seo, Kiwon
Suh, Dongjun
MULTIMEDIA TOOLS AND APPLICATIONS, 2012, 56 (02) : 331 - 349
[49] Multi-modal and demand-responsive passenger transport systems: a modelling framework with embedded control systems
Horn, MET
TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2002, 36 (02) : 167 - 188
[50] An input widget framework for multi-modal and multi-device environments
Kobayashi, N
Tokunaga, E
Kimura, H
Hirakawa, Y
Ayabe, M
Nakajima, T
THIRD IEEE WORKSHOP ON SOFTWARE TECHNOLOGIES FOR FUTURE EMBEDDED AND UBIQUITOUS SYSTEMS, PROCEEDINGS, 2005, : 63 - 70

← 1 2 3 4 5 →