Understanding Power Spectral Density (PSD) for Acceleration Data
Power Spectral Density (PSD) is an essential technique for analyzing acceleration signals, helping to identify dominant frequencies and structural resonances …
High-Performance Computation for Real-time Structural Health Monitoring
Understanding how high-performance computation (HPC) supports real-time structural health monitoring (SHM) by enhancing data acquisition, signal processing, damage detection, and …
Understanding the Working of a GPU: From Architecture to Computation with PyTorch
Explore how GPUs achieve exceptional computational power through their hierarchical architecture and embarrassingly parallel workflows, with a focus on leveraging …
Retracing the Path of a Meteor: Insights from Taiwan’s Seismic and Infrasound Networks
On December 5, 2013, a mysterious series of booms startled Tamsui residents in Taiwan. Using seismic and infrasound data, we …
RabbitMQ for Seismic Waveforms: Enabling Reliable Data Communication
Learn how RabbitMQ enables seamless and reliable communication between distributed systems. This article explores setting up RabbitMQ using Docker, simulating …
Getting Started with Databricks for Big Data Analysis
Databricks is a cloud-based platform that simplifies big data analytics by integrating powerful cluster management with an intuitive notebook interface …
