Topic Editors

I-SENSE Group of the Institute of Communication and Computer Systems (ICCS), 15773 Zografou, Greece
I-SENSE Group of the Institute of Communication and Computer Systems (ICCS), 15773 Zografou, Greece
Institute of Communication and Computer Systems (ICCS), 9, Iroon Politechniou Str., Zografou, GR-157 73 Athens, Greece
Dr. Angelos Amditis
I-SENSE Group of the Institute of Communication and Computer Systems (ICCS), 15773 Zografou, Greece
Centre for Research and Technology Hellas (CERTH), Information Technologies Institute (ITI), 57001 Thessaloniki, Greece
Department of Applied Earth Sciences, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, P.O. Box 6, Hengelosestraat 99, 7500 AA Enschede, The Netherlands
Decision Support Systems Laboratory, National Technical University of Athens, 15 780 Zografou, Greece

Recent Advances and Technologies in Emergency Response, Security and Disaster Management Applications

Abstract submission deadline
closed (20 March 2024)
Manuscript submission deadline
20 May 2024
Viewed by
3384

Topic Information

Dear Colleagues,

Several types of disasters are increasing in frequency and severity in the modern world, with significant impacts on human lives and the economy. Disaster management planning is structured around the disaster management cycle model with four stages, namely, mitigation, preparedness, response, and recovery. Technological developments in the fields of IoT, edge computing, digital twins, machine learning, computer vision, embedded systems, emergency communications, and integrated sensors and platforms, can play a significant role in hazard monitoring, forecasting and prediction, disaster risk assessment, communication and preparedness activities, systems, and processes which enable individuals, communities, governments, businesses, and others to take timely action to reduce disaster risks in advance of hazardous events. This topic invites the submission of manuscripts that present both research in both academia and industry associated with disaster and crisis management applications.

Dr. Evangelos Maltezos
Dr. Eleftherios Ouzounoglou
Dr. Panagiotis Michalis
Dr. Angelos Amditis
Dr. Stefanos Vrochidis
Prof. Dr. Norman Kerle
Dr. Christos Ntanos
Topic Editors

Keywords

  • IoT
  • security
  • situational awareness
  • edge computing
  • digital twins
  • Earth observation
  • pattern recognition
  • object detection and tracking
  • localization
  • machine learning
  • feature extraction
  • embedded systems
  • UxVs
  • speech recognition
  • emergency communications
  • triage
  • wearables
  • embedded algorithms and systems

Participating Journals

Journal Name Impact Factor CiteScore Launched Year First Decision (median) APC
Applied Sciences
applsci
2.7 4.5 2011 16.9 Days CHF 2400 Submit
Drones
drones
4.8 6.1 2017 17.9 Days CHF 2600 Submit
Information
information
3.1 5.8 2010 18 Days CHF 1600 Submit
Sensors
sensors
3.9 6.8 2001 17 Days CHF 2600 Submit

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Published Papers (1 paper)

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23 pages, 1376 KiB  
Article
A Semantic Framework for Decision Making in Forest Fire Emergencies
by Panagiota Masa, Spyridon Kintzios, Zoe Vasileiou, Georgios Meditskos, Stefanos Vrochidis and Ioannis Kompatsiaris
Appl. Sci. 2023, 13(16), 9065; https://doi.org/10.3390/app13169065 - 08 Aug 2023
Cited by 1 | Viewed by 1234
Abstract
Forest fires can have devastating effects on the environment, communities, individuals, economy, and climate change in many countries. During a forest fire crisis, massive amounts of data, such as weather patterns and soil conditions, become available. Efficient management, intelligent integration, and processing the [...] Read more.
Forest fires can have devastating effects on the environment, communities, individuals, economy, and climate change in many countries. During a forest fire crisis, massive amounts of data, such as weather patterns and soil conditions, become available. Efficient management, intelligent integration, and processing the available information in order to extract useful insights and knowledge to facilitate advanced whereas and support human operators and authorities in a real operational scenario is a challenge. In this work, we present ONTO-SAFE, an ontology-based framework for wildfire events, adopting Semantic Web technologies for data integration and infusion of domain and background knowledge. More specifically, the framework creates a unified representation of the available assets, taking into account data generated from different sources, such as sensors, weather forecasts, earth observations, etc. To this end, previously existing ontologies and standards are used, such as Empathi and EmergencyFire ontology, to provide the conceptual model and the necessary level of abstraction in the form of interconnected knowledge graphs to satisfy the modeling requirements. On top of the generated knowledge graphs, a declarative framework extracts facts and higher-level inferred knowledge from asserted data to support users in decision making. In addition, the framework supports the generation of recommendations, such as sharing important wildfire information with citizens and professionals, that can be adjusted based on user-defined factors and the current disaster risk management phase. Full article
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