dc.contributor.advisor | Alam, Md. Ashraful | |
dc.contributor.author | An Noor, Akib | |
dc.date.accessioned | 2024-06-25T10:25:12Z | |
dc.date.available | 2024-06-25T10:25:12Z | |
dc.date.copyright | ©2023 | |
dc.date.issued | 2023-05 | |
dc.identifier.other | ID 22173007 | |
dc.identifier.uri | http://hdl.handle.net/10361/23588 | |
dc.description | This project is submitted in partial fulfillment of the requirements for the degree of Masters of Science in Computer Science, 2023. | en_US |
dc.description | Cataloged from the PDF version of the project. | |
dc.description | Includes bibliographical references (page 31). | |
dc.description.abstract | 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. | en_US |
dc.description.statementofresponsibility | Akib An Noor | |
dc.format.extent | 40 pages | |
dc.language.iso | en | en_US |
dc.publisher | BRAC University | en_US |
dc.rights | 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. | |
dc.subject | Earthquake | en_US |
dc.subject | Deep learning | en_US |
dc.subject | Image processing | en_US |
dc.subject | Convolutional neural network | en_US |
dc.subject | Structural health monitoring | en_US |
dc.subject | Machine learning | en_US |
dc.subject.lcsh | Application software--Development | |
dc.subject.lcsh | Computer programming | |
dc.subject.lcsh | Management information systems | |
dc.title | Full stack development of UBERA system | en_US |
dc.type | Project | en_US |
dc.contributor.department | Department of Computer Science and Engineering, Brac University | |
dc.description.degree | M.Engg. in Computer Science | |