Full stack development of UBERA system

Full stack development of UBERA system

This project is submitted in partial fulfillment of the requirements for the degree of Masters of Science in Computer Science, 2023.

Opis bibliograficzny
1. autor: An Noor, Akib
Kolejni autorzy: Alam, Md. Ashraful
Format: Project
Język:English
Wydane: BRAC University 2024
Hasła przedmiotowe:
Earthquake
Deep learning
Image processing
Convolutional neural network
Structural health monitoring
Machine learning
Application software > Development
Computer programming
Management information systems
Dostęp online:http://hdl.handle.net/10361/23588
id 10361-23588
record_format dspace
spelling 10361-235882024-07-10T04:27:05Z Full stack development of UBERA system An Noor, Akib Alam, Md. Ashraful Department of Computer Science and Engineering, Brac University Earthquake Deep learning Image processing Convolutional neural network Structural health monitoring Machine learning Application software--Development Computer programming Management information systems This project is submitted in partial fulfillment of the requirements for the degree of Masters of Science in Computer Science, 2023. Cataloged from the PDF version of the project. Includes bibliographical references (page 31). The system named ‘UBERA’ is a web application which is undertaken as a system which has the ability to assess buildings and produce an output result if they are vulnerable to earthquake or not. It is an automatic decision making system that evaluates the risk of buildings during an Earthquake. It utilizes modern Artificial Intelligence techniques along with civil engineering concepts to make the decision. A detailed structural evaluation is recommended to any building flagged as by the system. For building evaluations an effective system should be introduced in order to address this alarming earthquake risk. And with the help of this system anyone can access the system to know about any information about any types of buildings, its structural condition, awareness related information, evaluation facilities, automatic image processing result etc. This web application has several features, from google map API integration to the image processing facility of getting proper building evaluation results through the system. Moreover, generating a complete report page, maintaining the FEMA standard to calculate the threshold automatically are being developed as features of the system to make it an all in one building assessment and evaluation platform. The aim of the application is to develop awareness amongst general people about their building for any structural defects that might make the building vulnerable to earthquake and provide information with a proper report about the total building conditions. Akib An Noor M.Engg. in Computer Science 2024-06-25T10:25:12Z 2024-06-25T10:25:12Z ©2023 2023-05 Project ID 22173007 http://hdl.handle.net/10361/23588 en Brac University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 40 pages application/pdf BRAC University
institution Brac University
collection Institutional Repository
language English
topic Earthquake
Deep learning
Image processing
Convolutional neural network
Structural health monitoring
Machine learning
Application software--Development
Computer programming
Management information systems
spellingShingle Earthquake
Deep learning
Image processing
Convolutional neural network
Structural health monitoring
Machine learning
Application software--Development
Computer programming
Management information systems
An Noor, Akib
Full stack development of UBERA system
description This project is submitted in partial fulfillment of the requirements for the degree of Masters of Science in Computer Science, 2023.
author2 Alam, Md. Ashraful
author_facet Alam, Md. Ashraful
An Noor, Akib
format Project
author An Noor, Akib
author_sort An Noor, Akib
title Full stack development of UBERA system
title_short Full stack development of UBERA system
title_full Full stack development of UBERA system
title_fullStr Full stack development of UBERA system
title_full_unstemmed Full stack development of UBERA system
title_sort full stack development of ubera system
publisher BRAC University
publishDate 2024
url http://hdl.handle.net/10361/23588
work_keys_str_mv AT annoorakib fullstackdevelopmentofuberasystem
_version_ 1814306849010221056

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