Year: 2024
Type: article
Abstract: The importance of the study is that this detected major quake, informed citizens through automated continues beep sound, notified rescuers and automated shutdown of circuit breaker of the building during earthquake. This invention focusses on Catanduanes State University premise provided real-time warning scheme and alertness during and after strong quakes. The System Development Life Cycle (SDLC) model particularly the prototype method was used in the invention. Finally, prototype results are provided showing that the system support the expected performance of real seismic stimuli and a software monitoring data of detected ground-motion and its magnitude is also acquired by the system. As for future studies the researchers recommend to record the number of occurrences through a Database Management for possible tracking and monitoring purposes.
Institution: Catanduanes State University
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4402684991