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  2D Indoor CQB Robot Simulation

Program Design Purpose: The integration of robots in Close Quarters Battle (CQB) represents a significant advancement in modern military and law enforcement tactics. These robots, designed to navigate tight spaces, gather real-time intelligence, and engage threats, are invaluable assets in high-stakes scenarios. Our goal is to develop a 2D tactical board simulation system, similar to a computer game, that can load building floor blueprints, display CQB squad (robot) positions, enemy locations, ...

       2024-08-11 08:40:31

  Python PLC Honeypot: Env Deployment And Attack Detection

In the previous article, we introduced the design of Python PLC Honeypot Project, this article will provide detailed step-by-step instructions on how to deploy and use the honeypot system in your environment for detecting potential attacks on OT (Operational Technology) networks. The article includes three main section:   Design of Attack Alert and Notification Function Honeypot deployment: an example deployment of a mixed OT protocol honeypot, consisting of a simple setup with...

       2024-12-01 00:27:33

  Install Open webOS on Linux

HP has just released its first beta version of the webOS, It is said the user experience of webOS is quite impressive, so I immediately had it installed on my PC. There are two versions of Beta release,one embedded version and one Ubuntu version. I briefly share my installation experience of webOS in Linux. In the official document, it says "By 'Linux' we mean 'Ubuntu Linux'", it doesn't support server version and 64 bit version of Ubuntu. Here I use Mint 13. 1. Clone source code from github Add...

   Linux,webOS,Ubuntu,embedded,HP     2012-09-10 19:36:30

  Hello, Kernel!

When we learn module programming, the first small program must be hello, kernel!. For a novice, how do we avoid some mistakes and how to fix the bugs we have when writing the first module program? Is there any example we can refer to? Here is one example. 1. Write the hello.c 01 #include <linux/init.h> 02 #include <linux/module.h> 03 #include <linux/kernel.h> 04 //Compulsory 05 //Module lincese declaration 06 MODULE_LICENSE("GPL"); ...

   module,kernel,Linux     2013-05-03 03:33:52

  Python and PLC Communication

This article provides detailed steps on how to use Python to communicate with Schneider M221 and Siemens S7-1200 PLCs via Ethernet. Additionally, we offer a packaged Python PLC client library, enabling you to easily build your own SCADA control programs, such as Human-Machine Interfaces (HMI). The system overview is shown below: To check the project detail please refer to Python Physical PLC Communication Clients # Created: 2024/06/29 # Version: v0.1.3 # Copyright: Copyright (c) 2024 ...

   PYTHON,PLC,COMMUNICATION     2024-06-30 02:21:17

  People Detection Radar [IoT] : Build a Raspberry PI Xandar Kardian IoT People Count Radar

Program Design Purpose: People detection sensors and radars are utilized in various applications across multiple fields such as security and surveillance, healthcare, building automation, smart cities, transportation and autonomous manufacturing systems. This project aims to develop a prototype IoT device for an indoor people counting using the Xandar Kardian people detection radar and a Raspberry Pi. The device will be network-ready and easily integrated with other systems. The Python-based I...

       2024-07-21 08:19:57

  OT Power Grid System Development

Use PLC to Remote Control Circuit Breaker in Power Grid System Figure-00: Project Overview Diagram, version v0.0.2 (2024) Project Design Purpose: The objective of this project is to demonstrate how to utilize Programmable Logic Controllers (PLC) to remotely monitor and control circuit breakers within a power (grid/supply) system. Using a Schneider Electric circuit breaker, sensor, closer and PLC, the project will cover the physical hardware connections and provide a step-by-step guide for desig...

       2024-09-21 08:56:05

  Deploying DeepSeek-R1 Locally with a Custom RAG Knowledge Data Base

Project Design Purpose : The primary goal of this article is to explore how to deploy DeepSeek-R1 an open-source large language model (LLM), and integrate it with a customized Retrieval-Augmented Generation (RAG) knowledge base on your local machine (PC/server). This setup enables the model to utilize domain-specific knowledge for expert-level responses while maintaining data privacy and customization flexibility. By doing so, users can enhance the model’s expertise in specific technical ...

   LLM,RAG,DEPLOYMENT     2025-02-10 00:17:37

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