Extreme Surveillance: Emerging technologies and applications
摘要截稿:
全文截稿: 2018-11-30
影响因子: 1.902
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 心理学 - 3区
• 小类 : 计算机:人工智能 - 4区
• 小类 : 神经科学 - 4区
• 小类 : 心理学:实验 - 4区
Overview
The monitoring ability of emerging technologies and applications to make them very suitable for extreme surveillance systems. A large number of applications related to extreme events, especially natural disasters, agriculture, water, forest, military, buildings, health monitoring, disaster relief & emergency management, area and industrial surveillance have already been studied from the emerging technologies perspective and most of these surveillance applications have attracted much research attention. Emerging technologies is increasingly becoming the most important and valuable source for insights and information in extreme events. It covers from everyone’s experiences to everything happening in the world. There will be lots of emerging technologies in extreme events surveillance video, disaster images, social media, voice and video, to name a few, only if their volumes grow to the extent that the traditional processing and analysis systems may not handle effectively.
This special issue aims to gather latest research and development achievements in the field of emerging technologies and applications for extreme surveillance applications. Original papers that address the most current issues and challenges are solicited. Topics of interest include, but are not limited to:
- Risk reduction and governance in extreme events using Intelligent techniques
- Ambient techniques in environmental emergency
- Intelligent -oriented middleware for extreme-critical applications
- Quality of service(QoS) and priority aware models for extreme surveillance applications
- Interaction, access, visualization of Intelligent tools for extreme events
- Multi-hop and relay based communications for extreme surveillance
- Location detection technologies and protocols for extreme surveillance applications
- Network and cloud support for real-time extreme analytics
- Integration of video distribution and computing
- Disaster resilient location detection protocols for extreme events.
- Software defined radio test beds and experiments for extreme surveillance