Univariate Fast Initial Response Statistical Process Control with Taut Strings

Github Repository for a versatile usable Big Data infrastructure (AVUBDI)

A tool written (FOR POWER USERS) in AutoHotkey to programmatically control PC performance using popular tools such as 'ThrottleStop', 'RivaTuner Statistics Server' and the less popular 'SilentOption' (Exclusive for MSI laptops).

Integrate Tomoyo CCS Into KDE KSystemGuard And SystemMonitor

Objective of this project is to identify the in-control data points and eliminate out of control data points to set up distribution parameters for manufacturing process monitoring. I utilized PCA for dimension reduction and Hotelling T2 and m-CUSUM control charts to established mean and variance matrices.

Actions to be taken to monitor and analyze Linux with osquery:

Socket Server & Client test program

Self-Supervised Bayesian Representation Learning of Acoustic Emissions from Laser Powder Bed Fusion Process for In-situ Monitoring

Part of a project to evaluate the Rust bindings for the Godot Engine (gdext)

An iOS app that displays device process information

Part of a project to evaluate the Rust bindings for the Godot Engine (gdext)

Select metrics for outputs to log file and influxdb

proc-watch is a tool for monitoring processes and logging their CPU and memory usage.

Process behavior monitoring utility and library based on strace

Tmux plugin that enables displaying process indicators in the tmux status line.

Repositry supporting two publications on LPBF process monitoring using acoustic emissions

An open-source Python tool to provide system stats over a web interface.

Monitoring Of Laser Powder Bed Fusion Process By Bridging Dissimilar Process Maps Using Deep Learning-based Domain Adaptation on Acoustic Emissions

In Situ Quality Monitoring in Direct Energy Deposition Process using Co-axial Process Zone Imaging and Deep Contrastive Learning