Distress – An Application for Emergency Response and Disaster Management

Mody, Vidhi; Mody, Vrushti; Parekh, Soham

doi:10.1109/icosec49089.2020.9215288

Cited by 8 publications

(7 citation statements)

References 7 publications

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“…the author was motivated to develop the application because The Frequency of disasters is increasing over the year, but lack of an efficient disaster management system to help people in crisis, and there is a lack of coordination between the public and trained professionals for rescue operations. [15] "Chatbot Application for Sharing Disaster Information" was about a line bot developed in Japan for sharing disaster-related information with the public. In Japan, Disaster occurs every year, so the usefulness of social media such a twitter has been worldwide noticed during rescue operations.…”

Section: Related Workmentioning

confidence: 99%

“…[7] "Disaster Information Sharing System Considering Communication Status and Elapsed Time" was developed because, In recent years, large-scale natural disasters frequently occurred in Japan, and each time there occurred physical corruption or failure of the communication infrastructure, congestion of the communication network due to abrupt communication traffic occurred, The proposed system was an alert server which sends disaster information to local servers and individual phones with hazard maps for evacuation purpose. [15] "Online Media Usage by Disaster Volunteer Center" was a study based on online media usage by volunteers during rescue operations, collected data from online media analysis and the result was Facebook pages were trending during Rescue Operations, the objective was to identify online media usage of volunteers during Disaster operations. [2]…”

Section: Related Workmentioning

confidence: 99%

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Telegram Bot Using Cloud Services For Public Rescue Operations

Hariprasad¹,

Murugan²

2022

IJSREM

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Based on the study conducted on the Role of Social Media Applications in Public Rescue Operations during Disasters, identified many limitations in the previous applications only static information is been shared with the public, users cannot request for their needs and the application is not helping the rescue team for getting the information who needs help based on all this limitations and issues in the previous application This paper proposes a Telegram Linguistic Bot service using AWS Lex, Lambda, and RDS MySQL to bring both volunteers and victims together to ensure rescue operations are successful. By using this telegram bot, the victim and volunteer can enroll and start accessing the service. Similarly, the volunteers can also register with the application from anywhere, once victims send a help request for food and shelter the data will be stored in the cloud database which can be accessed by multiple rescue team management, so the team can easily identify which volunteers are nearby that particular victim and they can assign volunteer for fulfilling the victims needs this approach will help to reduce the difficulties in getting details of victims and volunteers. Using the victim’s data, the rescue team management will get a clarification on how many people needs helps for only food and shelters makes team have a proper plan. The proposed application is developed using a serverless framework which helps to reduce the cost of application usage also if any failure or any issue happened to the application, all the logs related to each action performed in the application will be stored in the cloud watch, using cloud watch we can easily keep track of applications if there is an issue which affects the performance of the application we can redeploy the application to another region this will ensure 99.9% availability of the application. Key Words: Telegram Bot, AWS, Public Rescue Community, Volunteers, Victims, Disaster.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Telegram Bot Using Cloud Services For Public Rescue Operations

Hariprasad¹,

Murugan²

2022

IJSREM

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“…[ 6 ] It is predicted that in 2025, there will be 7.33 billion smartphone users in the world. [ 7 ] The universality makes smartphones the most suitable platform for POCT. Moreover, numerous sensors have been integrated in smartphones, such as magnetic field sensors, gyroscopes, high‐resolution complementary metal–oxide–semiconductor (CMOS) image sensors, global positioning system sensors, accelerometers, gyroscopes, barometers, proximity sensors, and so on, making it not only a communication tool, but also versatile biosensing platforms.…”

Section: Introductionmentioning

confidence: 99%

Engineering Strategies for Advancing Optical Signal Outputs in Smartphone‐Enabled Point‐of‐Care Diagnostics

Fan

Liu

Miao

et al. 2023

Advanced Intelligent Systems

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The use of smartphone‐based analysis systems has been increasing over the past few decades. Among the important reasons for its popularity are its ubiquity, increasing computing power, relatively low cost, and capability to acquire and process data simultaneously in a point‐of‐need fashion. Furthermore, smartphones are equipped with various sensors, especially a complementary metal–oxide–semiconductor (CMOS) sensor. The high sensitivity of the CMOS sensor allows smartphones to be used as a colorimeter, fluorimeter, and spectrometer, constituting the essential part of point‐of‐care testing contributing to E‐health and beyond. However, despite its myriads of merits, smartphone‐based diagnostic devices still face many challenges, including high susceptibility to illumination conditions, difficulty in adapter uniformization, low interphone repeatability, and et al. These problems may hinder smartphone‐enabled diagnosis from passing the FDA regulations of medical devices. This review discusses the design and application of current smartphone‐based diagnostic devices and highlights challenges associated with existent methods and perspectives on how to deal with those challenges from engineering aspects on constant color signal acquisition, including smartphone adapter design, color space transformation, machine learning classification, and color correction.

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“…Specifically, PWAs have established their value with case studies in the areas of disaster management as well as agriculture. (Mody et al, 2020) and (Paul et al, 2019) have taken advantage of the PWA approach to address the issues pertaining to disaster response and relief. They have developed progressive web applications for disaster management and relief with an overall focus on preparedness, response, and recovery by prioritizing factors like better connectivity of users with resources.…”

Section: Introductionmentioning

confidence: 99%

Towards Progressive Geospatial Information Processing on Web Systems: A Case Study for Watershed Analysis in Iowa

Shahid¹,

Sermet²,

Demir³

2023

Preprint

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Geographic Information Systems (GIS) are available as stand-alone desktop applications as well as web platforms for vector- and raster-based geospatial data processing and visualization. While each approach offers certain advantages, limitations exist that motivate the development of hybrid systems that will increase the productivity of users for performing interactive data analytics using multidimensional gridded data. Web-based applications are platform-independent, however, require the internet to communicate with servers for data management and processing which raises issues for performance, data integrity, handling, and transfer of massive multidimensional raster data. On the other hand, stand-alone desktop applications can usually function without relying on the internet, however, they are platform-dependent, making distribution and maintenance of these systems difficult. This paper presents RasterJS, a hybrid client-side web library for geospatial data processing that is built on the Progressive Web Application (PWA) architecture to operate seamlessly in both Online and Offline modes. A packaged version of this system is also presented with the help of Web Bundles API for offline access and distribution. RasterJS entails the use of latest web technologies that are supported by modern web browsers, including Service Workers API, Cache API, IndexedDB API, Notifications API, Push API, and Web Workers API, in order to bring geospatial analytics capabilities to large-scale raster data for client-side processing. Each of these technologies acts as a component in the RasterJS to collectively provide a similar experience to users in both Online and Offline modes in terms of performing geospatial analysis activities such as flow direction calculation with hydro-conditioning, raindrop flow tracking, and watershed delineation. A large-scale case study is included in the study for watershed analysis to demonstrate the capabilities and limitations of the library. The framework further presents the potential to be utilized for other use cases that rely on raster processing, including land use, agriculture, soil erosion, transportation, and population studies.

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Distress – An Application for Emergency Response and Disaster Management

Cited by 8 publications

References 7 publications

Telegram Bot Using Cloud Services For Public Rescue Operations

Telegram Bot Using Cloud Services For Public Rescue Operations

Engineering Strategies for Advancing Optical Signal Outputs in Smartphone‐Enabled Point‐of‐Care Diagnostics

Towards Progressive Geospatial Information Processing on Web Systems: A Case Study for Watershed Analysis in Iowa

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