There are 3 repositories under process-monitoring topic.
NviWatch: A blazingly fast rust based TUI for managing and monitoring NVIDIA GPU processes
Pagemon is an interactive memory/page monitoring tool allowing one to browse the memory map of an active running process.
A mini filter driver development framework allows you to develop minit filter driver with different features.
Advanced spyware controlled by email/telegram. Includes keylogging, mouse activity with position and screenshot, screenshots and processes running.
🏃 Find out exactly why Node is still running.
This plugin provides native process instrumentation for monitoring and metrics collection, including: process status, uptime, thread count, and others.
File security filter driver SDK, implemented with a Windows file system filter driver framework. It allows you to implement file audit, file access control, file protection and encryption Windows applications.
Datasets from a fluid catalytic cracking unit to evaluate FDD techniques
This is a comprehensive MATLAB-based software platform developed for real-time measurement and feedback control of a custom mask-projection photopolymerization based additive manufacturing system (referred as "ECPL", i.e., Exposure Controlled Projection Lithography) using a lab-built interferometry (referred as "ICM&M", i.e., Interferometric Curing Monitoring and Measurement). A graphical user interface using the graphical user interface development environment (GUIDE) of MATLAB was created to implement the ICM&M method for the ECPL process. The software interfaces with the hardware of the ECPL system’s ultraviolet lamp and DMD, and the ICM&M system’s camera. It was designed to streamline the operation of the ECPL process with the aid of parallel computing that implements online both the ICM&M acquisition and measurement analysis as well as the feedback control method. The application logs the acquired interferogram video data, performs numerical computations for the ICM&M measurement algorithms and control law, saves the real-time data and measurement results for all voxels in the region of interest. Meanwhile, it displays interferogram frames and visualize the photocuring process without a substantial sacrifice in temporal performance of other key functions such as data acquisition and measurement & control analysis. The software could be extended to real-time process measurement and control for other additive manufacturing systems, for example, metal based additive manufacturing aided by in-situ thermal images analysis.
CLI tool for single process monitoring written in Node.js
Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
It is a program written in Python3 in order to facilitate process analysis and to easily access Windows process tools. In this way, it facilitates malware analysis processes. In addition, processes running in the background can be detected. After the program is started, it continues to run in the background. Afterwards, the tools can be accessed on the system tray.
Tomoyo Akari CCS Queryd Gui - Using Zenity - Ask Question With Gui Window (ccs-queryd-gui)
Library to monitor process starts and stops on Windows powered by C#
In Situ Quality Monitoring in Direct Energy Deposition Process using Co-axial Process Zone Imaging and Deep Contrastive Learning
Tmux plugin that enables displaying process indicators in the tmux status line.
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).
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.
An iOS app that displays device process information
A prescriptive (outcome-based) process monitoring system that provides users with temporal recommendations among activities to perform in an ongoing process
A simple supervisord like python script for monitoring a process
An open-source Python tool to provide system stats over a web interface.
This project focuses on process monitoring using the NASA Bearing Dataset, leveraging the Chronos-Forecasting library to predict bearing data and evaluate prediction accuracy through the Mean Absolute Error (MAE) metric.
Repositry supporting two publications on LPBF process monitoring using acoustic emissions