4,035 resources related to Disaster Management
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2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)
FUZZ-IEEE 2021 will represent a unique meeting point for scientists and engineers, both from academia and industry, to interact and discuss the latest enhancements and innovations in the field. The topics of the conference will cover all the aspects of theory and applications of fuzzy sets, fuzzy logic and associated approaches (e.g. aggregation operators such as the Fuzzy Integral), as well as their hybridizations with other artificial and computational intelligence techniques.
The conference program will consist of plenary lectures, symposia, workshops and invitedsessions of the latest significant findings and developments in all the major fields of biomedical engineering.Submitted papers will be peer reviewed. Accepted high quality papers will be presented in oral and postersessions, will appear in the Conference Proceedings and will be indexed in PubMed/MEDLINE
The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.
The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.
Bi-Annual IEEE PES T&D conference. Largest T&D conference in North America.
IEEE Communications Magazine was the number three most-cited journal in telecommunications and the number eighteen cited journal in electrical and electronics engineering in 2004, according to the annual Journal Citation Report (2004 edition) published by the Institute for Scientific Information. Read more at http://www.ieee.org/products/citations.html. This magazine covers all areas of communications such as lightwave telecommunications, high-speed data communications, personal communications ...
Each tutorial reviews currents communications topics in network management and computer and wireless communications. Available tutorials, which are 2.5 to 5 hours in length contains the original visuals and voice-over by the presenter. IEEE Communications Surveys & Tutorials features two distinct types of articles: original articles and reprints. The original articles are exclusively written for IEEE Communications Surveys & Tutorials ...
Both general and technical articles on current technologies and methods used in biomedical and clinical engineering; societal implications of medical technologies; current news items; book reviews; patent descriptions; and correspondence. Special interest departments, students, law, clinical engineering, ethics, new products, society news, historical features and government.
Reprints articles from other publications of significant interest to members. The papers are aimed at those engaged in managing research, development, or engineering activities. Reprints make it possible for the readers to receive the best of today's literature without having to subscribe to and read other periodicals.
Management of technical functions such as research, development, and engineering in industry, government, university, and other settings. Emphasis is on studies carried on within an organization to help in decision making or policy formation for RD&E.
2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2015
Today, frequently occurring natural disasters not only cause large-scale damage but are also difficult to predict because of the complexity of factors. Therefore, economic damages and casualties caused by natural disasters are gradually increasing. However, disaster-management measures are unable to be adapted rapidly enough to respond to fast-changing disasters. According to rapid responders, one of the most important elements of ...
2018 5th International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2018
When any kind of disaster occurs, victims who are directly and indirectly affected by the disaster often post vast amount of data (e.g., images, text, speech, video) using numerous social media platforms. This is because social media has recently become a primary communication channel among people to report either to public or to emergency responders (ERs). ERs, who are from ...
2013 IEEE International Conference in MOOC, Innovation and Technology in Education (MITE), 2013
Educating users for effective disaster management skills can be a challenge that requires different levels of training support. While the training requirements can be different with respect to the contexts of managing different disaster types there can be generic training requirements that should be incorporated into all types of disaster management training. Another key aspect of disaster management training is ...
2016 IEEE Eighth International Conference on Technology for Education (T4E), 2016
The aim of this study was to measure the learning effectiveness and motivational appeal of an online games for learning Disaster Management Education (DME) concepts, which was designed according to the curricular objectives and the subject matter of the Mepco Schlenk Engineering College (MSEC) curriculum, as compared to a similar application, encompassing equal learning objectives and content but lacking the ...
2015 2nd International Conference on Information and Communication Technologies for Disaster Management (ICT-DM), 2015
Not only the natural and social disaster but also the complex disaster occur more frequently and the size of disaster becomes bigger because of the climate change, the accelerated urbanization and the social structure diversification and complexification. New disaster management strategy is required according to the change of the disaster occurrence pattern. Although, the public agencies and private institutes produce ...
GHTC 2012 - Krista Bauer Keynote
Learning Lessons from Katrina
Why Adversity Can Be Your Motivator - Kathy Kountze-Tatum at IEEE WIE Forum USA East 2017
Group on Earth Observations (GEOSS)
The MOVE Truck Disaster Relief Vehicle: 2017 Brain Fuel President's Chat
IEEE Risk Management and Professional Liability Program
Michael Condry: Technology and Engineering Management Society - Studio Tech Talks: Sections Congress 2017
APEC Exhibitor Showcase - Texas Instruments Power Management
Disaster Meets Engineering: TechNews on IEEE.tv
Bari-Bari-II: Jack-Up Rescue Robot with Debris Opening Function
Large UAS Support: Non Terrestrial Networks - Dallas Brooks - B5GS 2019
Mats Edvinsson: Financial Management - Illustrations from IEEE Sweden — Studio Tech Talks: Sections Congress 2017
Levente Klein: Drone-based Reconstruction for 3D Geospatial Data Processing: WF-IoT 2016
GEOSS Forest Fire Awareness and Assessment
26 Years of Risk Management Standardisation - Kevin Knight - Closing Ceremony: Sections Congress 2017
Don't Get Hooked: Safe Strategies on the Net
KeyTalks: Every Application Needs Power
Information Technology: Careers for the information age
The Next G: What does 5G mean for Critical Communications and Electromagnetic Spectrum Dominance? - Manuel Uhm - 5G Technologies for Tactical and First Responder Networks 2018
Today, frequently occurring natural disasters not only cause large-scale damage but are also difficult to predict because of the complexity of factors. Therefore, economic damages and casualties caused by natural disasters are gradually increasing. However, disaster-management measures are unable to be adapted rapidly enough to respond to fast-changing disasters. According to rapid responders, one of the most important elements of disaster management is secured prime time. However, the current disaster management system cannot identify the exact disaster area and its surroundings because of the lack of a situation propagation system. Therefore, we need to establish new disaster management measures. The government has made efforts to predict disaster situations and minimize damages; however, this is difficult because of the lack of situational awareness about the disaster area; it cannot support effective decision-making.
When any kind of disaster occurs, victims who are directly and indirectly affected by the disaster often post vast amount of data (e.g., images, text, speech, video) using numerous social media platforms. This is because social media has recently become a primary communication channel among people to report either to public or to emergency responders (ERs). ERs, who are from various emergency response organizations (EROs), usually consider to gain awareness of the situation in order to respond to occurred disaster. However, with the occurrence of the disaster, within minutes, the social media platforms are flooded with various kinds of data which become overwhelmed for ERs with big data. Further, in this posted data, there may be majority of the data consist of redundant and irrelevant content. With this, it becomes challenging for ERs to make sense and take decisions of/on the available big data. Despite recent advances in the technology, processing and analyzing of the disaster related social media big data remains a challenging task. Hence, in this paper, we focus on presenting an initial analysis of a systematic literature review on application of artificial intelligence to analyze/process social media big data for efficient disaster management. During a systematic review process 68 publications were identified. Thereafter, we analyzed all the identified papers. From our analysis, we conclude that the most of the reviewed papers are on text and image classification and mostly convolutional neural networks have been employed for the classification.
Educating users for effective disaster management skills can be a challenge that requires different levels of training support. While the training requirements can be different with respect to the contexts of managing different disaster types there can be generic training requirements that should be incorporated into all types of disaster management training. Another key aspect of disaster management training is to associate new tools and technologies that facilitate disaster management and relief work. Wireless sensor based disaster management is an emerging research area that promotes technology incorporation into different levels of disaster management tasks. In this work we explore the training for disaster management activities with wireless sensor networks. As the training platform we use a novel, yet increasingly popular and learner engaging, immersive environment OpenSim. In an OpenSim installation, a specialised training environment was developed to simulate several disaster scenarios and required wireless sensors. A set of users have successfully used the training environment and provided feedback. The next phase of the research is planned to produce a Massive Open Online Course (MOOC) to facilitate academics and students for disaster management training.
The aim of this study was to measure the learning effectiveness and motivational appeal of an online games for learning Disaster Management Education (DME) concepts, which was designed according to the curricular objectives and the subject matter of the Mepco Schlenk Engineering College (MSEC) curriculum, as compared to a similar application, encompassing equal learning objectives and content but lacking the gaming aspect. The study also investigated prospective gender differences in the game's learning efficacy and motivational appeal. The sample was 124 students, who were arbitrarily apportioned to two groups, one of which used the online gaming application (Group A, N = 62) and the other one the non-user of online gaming one (Group B, N = 62). A Disaster Management Knowledge Test (DMKT) was used as the pre- test and post-test. Students were also perceived during the interventions. Data analyses disclosed that the gaming approach was both more active in stimulating students' knowledge of DME concepts and more motivational than the non-online gaming approach. Despite girls' greater involvement with, liking of and experience in disaster online gaming, and their greater initial disaster management knowledge, the learning gains that boys and girls achieved through the usage of the game did not differ significantly, and the game was found to be more motivational for girls than the boys. The results suggest that within MSEC, online educational disaster management games can be exploited as effective and motivational learning environments, irrespective of students' gender.
Not only the natural and social disaster but also the complex disaster occur more frequently and the size of disaster becomes bigger because of the climate change, the accelerated urbanization and the social structure diversification and complexification. New disaster management strategy is required according to the change of the disaster occurrence pattern. Although, the public agencies and private institutes produce the information related to the various types of disaster and they respond to each disasters by making use of the information. When the disaster occur, each disaster monitoring data, observed data and simulated result data related to the disaster situation from different agencies have been operated separately in the disaster management until now.
From a limited focus on post-disaster activities of response and recovery, disaster management frameworks have evolved over time to include pre-disaster activities of prevention and preparedness. Disaster risk governance, disaster risk reduction and resilience are core aspects of contemporary disaster management frameworks. India is one of the most disaster prone areas in the world with challenges aplenty in effective disaster management. Aligning with the Sendai Framework for Disaster Risk Reduction 2015-2030, India evolved the National Disaster Management Plan (NDMP) of 2016 as a comprehensive disaster management framework that proposes an integrated approach involving relevant stakeholders for addressing diverse natural and human-induced hazards. The five principles of ISACA's COBIT 5 framework, a widely accepted comprehensive IT governance and management framework for enterprise IT, is used to analyze the NDMP 2016 to identify areas for improvement.
Providing full and accurate information is crucial to the post-disaster management to enable the affected people access and obtain the resources needed, in a timely manner, but, the current map-based post-disaster management system lack of providing the emergency resource lists without filtering them, as a result the post-disaster management system consumes high levels of time and energy in calculation. An effective post-disaster management system (PDMS) has to ensure distribution of emergency resources, such as hospital, storage and transportation in a reasonable time so that affected papulation are properly benefited from it during the post-disaster period. In the method proposed in this paper, first, initial mapping and disaster mapping was proposed under Gaussian transformation and the maps image acquired as histogram. And then, all the maps, which are under discrete wavelet transform (DWT), were converted as DWT images by applying Gaussian fusion algorithm. Second, inverse DWT (iDWT) is applied to generate a new map for post-disaster management system. Finally, simulations were carried out and the results evaluated in terms of the indices, namely entropy, spatial frequency (SF) and image quality index (IQI). The evaluation results show that the proposed method is more effective than the other fusion algorithms, such as mean-mean fusion and max-UD fusion.
Disasters, both man-made and natural, occurs frequently throughout the globe. When these happen, it furnishes some outrageous results. Loss of life, property and habitat are few of the outcomes of the disasters. Efficient management techniques should be implemented for minimizing the damage and risks involved with disasters. Technology growth is not reflecting in the area of emergency management. Internet of Things, rapidly evolving to Internet of Anything and Everything, can be introduced to manage disaster scenarios. Rescue events can be interlinked through IoT for proper management approach. Disaster warning systems, rescue methods, follow-up, and regulation techniques can be conjugated for this purpose. This paper introduces a novel architectural system for productive disaster management using IoT techniques which reduces the fatality of a disaster phenomenon.
Indian railways is one of the busiest rail networks in the whole world. In a single day it runs around 14,500 trains across various terrains covering 63,140 kilometers that transports millions of passengers. It is also participating in a Trans-Asian railway link project. Looking for greater financial success it has deployed information technology in its various commercial activities. However its disaster management plan is far from being an efficient one, every time a crisis has occurred that the lack of an efficient mechanism has come to fore. This paper looks at Indian Railways present disaster management plan and proposes different strategies in using information technology for disaster preparedness and response. It proposes the setup of a disaster management network that has both private and public interface.
This paper aims to describe development of a Web-based spatial data sharing platform for disaster management. Alongside functionality, quality of image(IQ) is basic to successful sharing of distributed geo-services.This paper explores IQ provisioning in the context of geo-service sharing for disaster management.The paper presents an IQ model for disaster management and illustrates how user level IQ requirements can be supported in IQ-aware geo- service architecture. In contrast to context-specific IQ assurance approaches, which usually focus on a few variables determined by local needs, this approach provides interactive, multi-granularity and contextsensitive IQ indicators that help experts to build and justify their opinions. The prototype system was designed and validated by enhancing IQ generated by remote sensing through the technologies of visualization.
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