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  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

  Popular Golang JSON libraries evaluation

JSON (Javascript Object Notation), a prevailing data exchange format, is widely used in various platforms and languages. Golang, of course, will never miss the support for JSON. And with its own standard library, such as those interfaces like the REST API from the API Service in Kubernetes, it can easily process JSON. Although Go’s library works great, we can still seek those open-source JSON libs in Github to maximize our efficiency. Then the features, performance, applicability of these ...

   FASTJSON,JSON LIB,JSON LIB COMPARISON,GO-JSON     2021-12-11 23:13:23

  OT Railway System Development: How to Use PLC to Implement Land Based Railway Track Fixed Block Sign

Figure-00: Railway fixed block signaling system over view diagram, version v1.3 (2024) Project Design Purpose: This project aims to use Programmable Logic Controllers (PLC) with train detection sensors and train control signals to develop an automated OT system for railway track fixed block signaling control. The system will include a digital equivalent simulation to explain the logic of the track fixed block Automatic Train Control (ATC) mechanism for demonstration and training purposes. In th...

       2024-07-27 04:08:41

  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

  Applying Large Language Models (LLMs) to Solve Cybersecurity Questions

In this document, we will introduce some test, experiment and analysis conclusion about applying Large Language Models (LLMs) to solve cybersecurity questions. Introduction Large Language Models (LLMs) are increasingly used in education and research for tasks such as analyzing program code error logs, help summarize papers and improving reports. In this project, we aim to evaluate the effectiveness of LLMs in solving cybersecurity-related questions, such as Capture The Flag (CTF) challenges, ...

       2024-09-08 04:05:07