-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] [CFP] Emerging Technologies for Disaster Management IEEE Transactions on Emerging Topics in Computing, Special Issue/Section Datum: Fri, 22 Jan 2016 08:50:21 +0800 Von: Deze Zeng dazzae@GMAIL.COM Antwort an: Deze Zeng dazzae@GMAIL.COM An: tccc-announce@COMSOC.ORG
IEEE Transaction on Emerging Topics in Computing (TETC) seeks original manuscripts for a Special Issue/Section on Emerging Technologies for Disaster Management.
CFP in PDF : http://www.computer.org/cms/Computer.org/transactions/cfps/cfp_tetcsi_etdm.pdf http://www.computer.org/cms/Computer.org/transactions/cfps/cfp_tetcsi_etdm.p...
We live in a world in which natural and man-made disasters (such as earthquakes, hurricanes, terrorist attacks, and industrial accidents) often occur. These disasters are so sudden in nature, so causing loss of human lives and interruption of essential public services (such as health care, electricity, water, transportation and communication). Disaster management aims to reduce or avoid potential losses from hazards, ensure prompt and appropriate assistance to victims and achieve a rapid and effective recovery. In recent years, new computing/communication technologies have emerged to improve the efficiency of disaster management; for example, crowdsourcing has been applied in the Nepal earthquake to collect the latest information from earthquake-affected areas and create a dynamic map that shows the locations in which aid and relief are needed. Although some preliminary attempts have been made to apply emerging technologies for disaster management, there are many open challenges that need to be addressed to fully exploit the potentials of these promising technologies.
Various technologies must be considered in the entire disaster management process and its many phases, including prevention, preparedness, relief and recovery. Although disasters cannot often be prevented, new technologies must be explored to predict and prepare through robust and resilient infrastructures. After a disaster occurs, advanced technologies are needed to assist in searching and rescuing victims. Since power and communication are usually interrupted, it is important to quickly recover communication using energy-efficient technologies, so that processing of information can take place; furthermore, good planning and scheduling can also help to quickly recover from a disaster.
This special issue focuses on covering the most recent research results that apply emerging technologies and address challenges related to disaster management. Topics of interest include but not limited to: - Social networks for disaster management - Victim localization and searching - Resilient network/communication and processing under a disaster environment 、 - Resource planning and allocation in a disaster environment - Energy-efficient technologies for computing/communication for disaster - Sensing technologies for disaster management - Robotics for disaster management - Big data for disaster management - New devices/technologies for disaster management
Submitted articles must not have been previously published or currently submitted for journal publication elsewhere. As an author, you are responsible for understanding and adhering to our submission guidelines. You can access them at the IEEE Computer Society web site, www.computer.org. Please thoroughly read these before submitting your manuscript. Please submit your paper to Manuscript Central at https://mc.manuscriptcentral.com/tetc-cs Please note the following important dates. • Submission Deadline: December 1, 2016 • Reviews Completed: March 1, 2017 • Major Revisions Due (if Needed): April 1, 2017 • Reviews of Revisions Completed (if Needed): May 1, 2017 • Minor Revisions Due (if Needed): June 1, 2017 • Notification of Final Acceptance: August 1, 2017 • Publication Materials for Final Manuscripts Due: September 1, 2017 • Publication date: Last Issue of 2017 (Dec Issue)
Please address all other correspondence regarding this special Section to the Lead Guest Editor Nei Kato.
Guest Editors： Nei Kato, Tohoku University kato@it.is.tohoku.ac.jp Song Guo, The University of Aizu sguo@u-aizu.ac.jp Hiroshi Tohjo, NTT tohjo.hiroshi@lab.ntt.co.jp
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