Research on the Relief Scheduling Model Considering Victims’ Satisfaction for Emergency Response in Large-Scale Disasters

2016 ◽  
pp. 679-690
Author(s):  
Ce-jun Cao ◽  
Cong-dong Li ◽  
Wen-bo Li
Keyword(s):  
Emergency Response ◽  
Large Scale ◽  
Scheduling Model

scholarly journals Analysis and Enhancement of IEEE 802.15.4e DSME Beacon Scheduling Model

2014 ◽  
Vol 2014 ◽  
pp. 1-15 ◽  
Author(s):  
Kwang-il Hwang ◽  
Sung-wook Nam
Keyword(s):  
Internet Of Things ◽  
Large Scale ◽  
Ieee 802.15.4 ◽  
Design Model ◽  
Abstract Model ◽  
Modes Of Operation ◽  
Network Construction ◽  
Scheduling Model ◽  
And Performance ◽  
Ieee 802.15.4E

In order to construct a successful Internet of things (IoT), reliable network construction and maintenance in a sensor domain should be supported. However, IEEE 802.15.4, which is the most representative wireless standard for IoT, still has problems in constructing a large-scale sensor network, such as beacon collision. To overcome some problems in IEEE 802.15.4, the 15.4e task group proposed various different modes of operation. Particularly, the IEEE 802.15.4e deterministic and synchronous multichannel extension (DSME) mode presents a novel scheduling model to solve beacon collision problems. However, the DSME model specified in the 15.4e draft does not present a concrete design model but a conceptual abstract model. Therefore, in this paper we introduce a DSME beacon scheduling model and present a concrete design model. Furthermore, validity and performance of DSME are evaluated through experiments. Based on experiment results, we analyze the problems and limitations of DSME, present solutions step by step, and finally propose an enhanced DSME beacon scheduling model. Through additional experiments, we prove the performance superiority of enhanced DSME.

Crowdsourcing Incident Information for Emergency Response using Open Data Sources in Smart Cities

2018 ◽  
Vol 2672 (1) ◽  
pp. 198-208 ◽  
Author(s):  
Fan Zuo ◽  
Abdullah Kurkcu ◽  
Kaan Ozbay ◽  
Jingqin Gao
Keyword(s):  
Social Media ◽  
Prior Knowledge ◽  
Emergency Response ◽  
Large Scale ◽  
Latent Dirichlet Allocation ◽  
Smart Cities ◽  
Hurricane Sandy ◽  
Support Vector ◽  
Twitter Data ◽  
Emergency Events

Emergency events affect human security and safety as well as the integrity of the local infrastructure. Emergency response officials are required to make decisions using limited information and time. During emergency events, people post updates to social media networks, such as tweets, containing information about their status, help requests, incident reports, and other useful information. In this research project, the Latent Dirichlet Allocation (LDA) model is used to automatically classify incident-related tweets and incident types using Twitter data. Unlike the previous social media information models proposed in the related literature, the LDA is an unsupervised learning model which can be utilized directly without prior knowledge and preparation for data in order to save time during emergencies. Twitter data including messages and geolocation information during two recent events in New York City, the Chelsea explosion and Hurricane Sandy, are used as two case studies to test the accuracy of the LDA model for extracting incident-related tweets and labeling them by incident type. Results showed that the model could extract emergency events and classify them for both small and large-scale events, and the model’s hyper-parameters can be shared in a similar language environment to save model training time. Furthermore, the list of keywords generated by the model can be used as prior knowledge for emergency event classification and training of supervised classification models such as support vector machine and recurrent neural network.

Research on the Resource Scheduling in Emergency Response Based on ACA

2015 ◽  
Vol 740 ◽  
pp. 1003-1006
Author(s):  
Zhan Gao ◽  
Qing Bo Zhu
Keyword(s):  
Emergency Management ◽  
Emergency Response ◽  
Optimization Problems ◽  
Resource Scheduling ◽  
Supply System ◽  
Theoretical Support ◽  
Scheduling Model ◽  
Disaster Area ◽  
Effective Analysis ◽  
Emergency Resource

This paper mainly studies the emergency resource scheduling algorithms and optimization problems. Through study the effect of explain emergency supplies of resources system, understanding the characteristics of emergency resource, emergency scheduling characteristics and process, and the characteristics of the demand for resources. Emergency resource scheduling model for emergencies, and emergency management by learning the theory and method of study, effective analysis of disaster impact on resource supply system. Select the appropriate scheduling, to the disaster area resources required for effective and reasonable to rise and scheduling is advantageous to the resource scheduling work smoothly. Emergency resource scheduling model is established, provide certain theoretical support for the actual emergency scheduling decisions.

Reliability Based Scheduling Model (RSM) for Computational Grids

2012 ◽  
pp. 37-54
Author(s):  
Zahid Raza ◽  
Deo P. Vidyarthi
Keyword(s):  
Data Exchange ◽  
Large Scale ◽  
A Priori ◽  
Dynamic Environment ◽  
Computational Grid ◽  
Computational Grids ◽  
Scheduling Model ◽  
Reliability Computation ◽  
Grid Resources ◽  
Maximum Reliability

Computational Grid attributed with distributed load sharing has evolved as a platform to large scale problem solving. Grid is a collection of heterogeneous resources, offering services of varying natures, in which jobs are submitted to any of the participating nodes. Scheduling these jobs in such a complex and dynamic environment has many challenges. Reliability analysis of the grid gains paramount importance because grid involves a large number of resources which may fail anytime, making it unreliable. These failures result in wastage of both computational power and money on the scarce grid resources. It is normally desired that the job should be scheduled in an environment that ensures maximum reliability to the job execution. This work presents a reliability based scheduling model for the jobs on the computational grid. The model considers the failure rate of both the software and hardware grid constituents like application demanding execution, nodes executing the job, and the network links supporting data exchange between the nodes. Job allocation using the proposed scheme becomes trusted as it schedules the job based on a priori reliability computation.

Shaping Comprehensive Emergency Response Networks

2014 ◽  
pp. 26-48 ◽  
Author(s):  
W. Treurniet
Keyword(s):  
Emergency Response ◽  
Large Scale ◽  
Critical Infrastructure ◽  
Focal Point ◽  
Professional Organizations ◽  
Internal Resources ◽  
Response Planning ◽  
Response Network ◽  
Response Organization ◽  
The One

Given its nature, a crisis has a significant community impact. This applies in particular to emergencies: crises that arise quickly. Because of the complex and multifaceted nature of large-scale incidents, the response requires coordinated effort by multiple organizations. This networked collaboration is not solely restricted to professional organizations. In responding to an incident, the affected community can itself be an important source of information and capabilities. This chapter discusses how one can shape a trustworthy and decisive response organization in which relevant and useful capacities available in the community are incorporated. This discussion has two focal points. The first focal point is the role of the affected community in the case of an emergency. On the one hand, an emergency affects the fabric of the community, such as the critical infrastructure. On the other, a community has inherent internal resources that give it resilience and capacity to respond in a crisis. This needs to be reflected in the choice of emergency response planning model. The second focal point is the structure of the emergency response network. An emergency response network is a mixed-sector network. This means that coordination is needed among organizations and collectives with differing strategic orientations.

Enhancing Emergency Response Management using Emergency Description Information Technology (EDIT)

2016 ◽  
pp. 1264-1278
Author(s):  
Michael A. Erskine ◽  
Will Pepper
Keyword(s):  
Emergency Response ◽  
Process Model ◽  
Large Scale ◽  
Design Science ◽  
Future Research ◽  
Sporting Events ◽  
Emergency Responder ◽  
Response Information ◽  
Novel Approach ◽  
Future Research Directions

This paper presents a novel approach toward facilitating the effective collection and communication of information during an emergency. Initially, this research examines current emergency response information workflows and emergency responder dispatch criteria. A process for the optimization of these workflows and criteria, along with a suggested method to improve data collection accuracy and emergency response time using a mobile device application, are suggested. Specifically, a design-science approach incorporating the development of an expert system designed to facilitate efficient and effective sharing of emergency information is applied. The resulting benefits could improve emergency communications during large-scale international gatherings, such as sporting events or festivals, as well as the sharing of industry-specific safety incidents. A process model for conducting analyses of additional emergency response processes is also presented. Finally, future research directions are discussed.

Citizen-to-Citizen Resource Sharing in Emergency Response

Crowdsourcing ◽  
2019 ◽  
pp. 578-605
Author(s):  
Soon Ae Chun ◽  
Jaideep S. Vaidya ◽  
Vijayalakshmi Atluri ◽  
Basit Shafiq ◽  
Nabil R. Adam
Keyword(s):  
Citizen Participation ◽  
Emergency Response ◽  
Situation Awareness ◽  
Resource Sharing ◽  
Large Scale ◽  
Situational Awareness ◽  
Government Agencies ◽  
Mobile Crowdsourcing ◽  
Disaster Situation ◽  
The Government

During large-scale manmade or natural disasters, such as Superstorm Sandy and Hurricanes Harvey and Irma, collaborations among government agencies, NGOs, and businesses need to be coordinated to provide necessary resources to respond to emergency events. However, resources from citizens themselves are underutilized, such as their equipment or expertise. The citizen participation via social media enhanced the situational awareness, but the response management is still mainly handled by the government or government-sanctioned partners. By harnessing the power of citizen crowdsourcing, government agencies can create enhanced disaster situation awareness and facilitate effective utilization of resources provided by citizen volunteers, resulting in more effective disaster responses. This chapter presents a public engagement in emergency response (PEER) framework that provides an online and mobile crowdsourcing platform for incident reporting and citizens' resource volunteering as well as an intelligent recommender system to match-make citizen resources with emergency tasks.

Citizen-to-Citizen Resource Sharing in Emergency Response

2018 ◽  
pp. 130-164 ◽  
Author(s):  
Soon Ae Chun ◽  
Jaideep S. Vaidya ◽  
Vijayalakshmi Atluri ◽  
Basit Shafiq ◽  
Nabil R. Adam
Keyword(s):  
Citizen Participation ◽  
Emergency Response ◽  
Situation Awareness ◽  
Resource Sharing ◽  
Large Scale ◽  
Situational Awareness ◽  
Government Agencies ◽  
Mobile Crowdsourcing ◽  
Disaster Situation ◽  
The Government

During large-scale manmade or natural disasters, such as Superstorm Sandy and Hurricanes Harvey and Irma, collaborations among government agencies, NGOs, and businesses need to be coordinated to provide necessary resources to respond to emergency events. However, resources from citizens themselves are underutilized, such as their equipment or expertise. The citizen participation via social media enhanced the situational awareness, but the response management is still mainly handled by the government or government-sanctioned partners. By harnessing the power of citizen crowdsourcing, government agencies can create enhanced disaster situation awareness and facilitate effective utilization of resources provided by citizen volunteers, resulting in more effective disaster responses. This chapter presents a public engagement in emergency response (PEER) framework that provides an online and mobile crowdsourcing platform for incident reporting and citizens' resource volunteering as well as an intelligent recommender system to match-make citizen resources with emergency tasks.

Emergency Response in Rural Areas

2013 ◽  
Vol 5 (2) ◽  
pp. 19-31 ◽  
Author(s):  
Sofie Pilemalm ◽  
Rebecca Stenberg ◽  
Tobias Andersson Granberg
Keyword(s):  
Social Capital ◽  
Emergency Management ◽  
Emergency Response ◽  
Rural Areas ◽  
Mobile Applications ◽  
Large Scale ◽  
First Responders ◽  
Local Resources ◽  
Technical Solutions

In this study, security and safety in rural parts of Sweden are investigated. New ways of organizing for efficient response can be found in the extended collaboration between societal sectors and in the utilization of local social capital. New categories of first responders and their requirements are identified and technical and non-technical solutions as support are proposed. The solutions include e.g. mobile applications and a technical infrastructure making it possible for volunteers to obtain information about events requiring emergency response. Emergency management in rural areas shows several similarities to large-scale crises, e.g. in terms of insufficient infrastructure available and the need to use local resources in the immediate aftermath of the event. Therefore, the results of the study can be transferable to large-scale crises.

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