scholarly journals Strategies for crowdsourcing for disaster situation information

2011 ◽  
Author(s):  
E. T.-H. Chu ◽  
Y.-L. Chen ◽  
J. W. S. Liu ◽  
J. K. Zao
Keyword(s):  
Disaster Situation

scholarly journals A Mobile and Web Application for Mapping Disaster Volunteers’ Position in Indonesia

2017 ◽  
Vol 11 (3) ◽  
pp. 98 ◽  
Author(s):  
Theresia Devi Indriasari ◽  
Kusworo Anindito ◽  
Eddy Julianto ◽  
Bertha Laroha Paraya Pangaribuan
Keyword(s):  
Disaster Management ◽  
Web Application ◽  
Web Applications ◽  
Management Service ◽  
Tectonic Plates ◽  
Location Data ◽  
Before And After ◽  
Disaster Situation ◽  
The Government ◽  
To Receive

<span>Indonesia is a country located on top of some tectonic plates that bring potential natural disasters. Disaster management system is considered essential in controlling the situation in the site both before and after the disaster takes place. In disaster situation, the government and society are involved in a volunteer team in order to help minimize victims and support survivors. However, the volunteering activities are often hindered since there are problems in the disaster site. One of the problems is late responses due to poor coordination among volunteers that drives the delay in disaster relief. Therefore, it is necessary to have an application that maps the positions of volunteers in a disaster site, so that the disaster management coordinator can disseminate volunteers to disaster areas based on needs. The purpose of the study is to propose an application called ‘MyMapVolunteers’ that effectively and efficiently detects the position of the volunteers in order to improve disaster management service. In this case, real time and location based service technology will able to detect the position of each volunteer. ‘MyMapVolunteers’ is composed of two platforms, which are mobile and web applications. Mobile platform is an application that uses GPS function provided by the smartphone to find the volunteers’ location coordinates and then send the data of the location automatically and manually. The web platform is used to receive volunteers’ location data and to present them in google map, therefore disaster management coordinator can monitor the positions of and search for volunteers faster.</span>

scholarly journals Relationship between gratitude and psychological well-being around Lapindo Mudflow resident

2020 ◽  
Vol 153 ◽  
pp. 03005
Author(s):  
Dian Anggraini ◽  
Listyati Palupi
Keyword(s):  
Natural Disaster ◽  
Quantitative Method ◽  
Well Being ◽  
Correlational Study ◽  
Psychological Well Being ◽  
The People ◽  
Disaster Situation ◽  
Quantitative Correlational ◽  
Quantitative Correlational Study ◽  
The Relationship

The Lapindo Mud is a natural disaster occurred 13 years ago and still erupts today. Of course this disaster affects the people who live around it. The people who are the victims of the mud disaster is still survive. Therefore, it is important to understand how this people could survive in this disaster situation. Thus, the purpose of this quantitative, correlational study is to investigate the relationship between gratitude and psychological well-being for the resident around Lapindo mudflow. This research used quantitative method with survey. The scale used was The Gratitude Questionnaire-Six Item Form (GQ-6) developed by McCullough to measured the level of gratitude and Javanese Psychological Well-being Scale developed by Palupi to measured psychological well-being. The result showed that there is relationship between gratitude and psychological well-being in the population/resident around Lapindo mudflow.

Audibility of emergency broadcasting sound in a mechanical room in an office building

2021 ◽  
Vol 263 (3) ◽  
pp. 3811-3816
Author(s):  
Jeongho Jeong
Keyword(s):  
Emergency Operation ◽  
Sound Level ◽  
Acoustic Properties ◽  
Office Building ◽  
Fire Alarm ◽  
Transmission Index ◽  
Broadcasting System ◽  
Disaster Situation ◽  
Alarm Sound ◽  
Clear Presentation

Fire alarm and emergency broadcasting sound are important in fire and disaster situations. For the clear presentation of the fire alarm and emergency broadcasting sound to occupants of buildings, some guidelines and requirements were established. In NFPA 72 and BS standard, a specific alarm sound level for alarm sound of residential facilities was proposed and Speech Transmission Index(STI) was regulated for the emergency broadcasting system. In the fire and disaster situation, one of the important facility is a mechanical and electrical system to maintain water and electricity supply. To maintain this function in the buildings, clear presentation of emergency broadcasting sound to the workers in the mechanical and electrical room is crucial for the emergency operation of the system. In this study, the noise level in the mechanical rooms and electricity facilities of more than 40 years old office building were measured. Also, audibility and room acoustic properties such as reverberation time and STIwas simulated using Odeon 12. In order to deliver emergency broadcasting sound more clearly, sound absorption material and a soundproof chamber for noisy devices are needed. Also, the emergency broadcasting system in noisy facilities should be improved to produce the broadcasting sound louder and clearer.

Geo-Information Support in Management of Urban Disasters

2006 ◽  
Vol 31 (1) ◽  
pp. 62-69
Author(s):  
Sisi Zlatanova ◽  
Peter van Oosterom ◽  
Edward Verbree
Keyword(s):  
Disaster Management ◽  
Simulation Models ◽  
Recovery Phase ◽  
Decision Makers ◽  
Information Support ◽  
Technical Equipment ◽  
Fire Departments ◽  
Urban Disaster ◽  
Disaster Situation ◽  
Actual Response

Within the management of urban disasters, geo-information systems (GIS) are used in any of the phases of mitigation, preparedness, response and recovery as most of the required data have a spatial component. Examples of GIS-based decision support systems on mitigation are found in simulation models of floods and earthquakes. In the preparation phase all kinds of spatial observations and models can be used to predict which areas will be threatened. To prepare for adequately responding in case of an actual disaster, these systems are capable of developing realistic scenarios that are used within training and virtual reality (VR) systems. During the actual response phase geo-information is used intensively: for getting an impression of the environment, for routing, for obtaining up-to-date information about the actual situation, etc. In the recovery phase, there is often a high public and political interest to judge the situation - comparing the pre- and post-disaster situation - and to set priorities for the rebuilding. Despite this potential of GIS-based support for urban disaster management, the use of these systems or even the utilisation of geo-information itself is still very limited in countries in Africa, Asia and Latin America. The emergency management is usually done with paper maps that are seldom up-to-date. Useful systems to support decision makers in any of the phases of disaster management are nearly completely lacking. To improve the work of decision makers and rescue teams, different premises have to be archived in relation to: meta-information to provide insight on the availability and usefulness of the geo-information itself, the technical equipment of the rescue teams (i.e. communication devices and field computers), and the up-to-date information from the affected areas (images, observations, reports). This paper suggests a framework for “urban and urgent” disaster management to facilitate the work of police forces, fire departments, ambulances and government coordinators in disaster situations by extending and improving the utilisation of geo-information. Within a pre-disaster situation, geo-information support management further can assist planning for prevention and mitigation.

Study on RSS/AOA hybrid localization in life detection in huge disaster situation

2018 ◽  
Vol 95 (3) ◽  
pp. 569-583 ◽  
Author(s):  
ShiYang Tang ◽  
XueMing Shu ◽  
Jun Hu ◽  
Rui Zhou ◽  
ShiFei Shen ◽  
...  
Keyword(s):  
Hybrid Localization ◽  
Disaster Situation ◽  
Life Detection

scholarly journals Onsite Disaster Response System for an Inclusive Society and Social Safety Net by Types of Disabilities: Focusing on the Welfare Facilities for the Disabled in "D City"

2020 ◽  
Vol 20 (2) ◽  
pp. 61-70
Author(s):  
Jiyeon Myeong ◽  
Hongjik Kim
Keyword(s):  
Emergency Management ◽  
Disaster Response ◽  
Safety Net ◽  
Management Research ◽  
Social Safety Net ◽  
Response System ◽  
The Disabled ◽  
Disaster Situation ◽  
Physical Limitations ◽  
Inclusive Society

As the types of disaster diversity and the occurrence of disaster became more frequent, complex damage is also increasing. The nation is making various efforts, including creating an emergency management system and supporting crisis management research, to minimize damage to property, facilities and lives that are caused by disasters. However, the practical system for those who have a disadvantage in terms of disaster awareness and early evacuation due to their physical limitations is still insufficient. In this study, the vulnerability of people with disabilities when it comes to disaster safety was analyzed by visiting the living facilities tailored for each type of disability by examing each facility's disaster resonse manual and observing the facilities. In addition, through surveying and interviewing employees and users of facilities, we analyzed the recognition of evacuation. Finally, this study proposed strengthening related disaster response policies to establish an inclusive society and a social safety net by analyzing behavioral patterns for each type of disability in the initial disaster situation.

Attention U-Net with Feature Fusion Module for Robust Defect Detection

2021 ◽  
pp. 2150272
Author(s):  
Yu-Jie Xiong ◽  
Yong-Bin Gao ◽  
Hong Wu ◽  
Yao Yao
Keyword(s):  
Defect Detection ◽  
Crack Detection ◽  
Feature Fusion ◽  
Experimental Results ◽  
Feature Maps ◽  
Concrete Crack ◽  
Disaster Situation ◽  
Unpredictable Environment ◽  
Segmentation Task ◽  
Noisy Background

U-Net shows a remarkable performance and makes significant progress for segmentation task in medical images. Despite the outstanding achievements, the common case of defect detection in industrial scenes is still a challenging task, due to the noisy background, unpredictable environment, varying shapes and sizes of the defects. Traditional U-Net may not be suitable for low-quality images with low illumination and corruption, which are often presented in the practical collections in real-world scenes. In this paper, we propose an attention U-Net with feature fusion module for combining multi-scale features to detect the defects in noisy images automatically. Feature fusion module contains convolution kernels of different scales to capture shallow layer features and combine them with the high-dimensional features. Meanwhile, attention gates are used to enhance the robustness of skip connection between the feature maps. The proposed method is evaluated on two datasets. The best precision rate and MIoU of defect detection are 95.6% and 92.5%. The best F-score of concrete crack detection is 95.0%. Experimental results show that the proposed approach achieves promising results in both datasets. It demonstrates that our approach consistently outperforms other U-Net-based approaches for defect detection in low-quality images. Experimental results have shown the possibility of developing a mixture system that can be deployed in many applications, such as remote sensing image analysis, earthquake disaster situation assessment, and so on.

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