Desktop Audio Amplifier

Project Summary

This was a quick build of a 50W desktop audio amplifier based around the SainSmart 12V 50Wx2+100W TPA3116D2 board. The amplifier performed well into a 6 Ohm load and was able to hit “uncomfortable” levels (at a 4 foot listening distance) without distortion.

Parts List


  • SainSmart 12V 50W x 2+100W TPA3116D2 2.1 Amplifier Board
  • Self-Stick 1/2″ Noise-Dampening Bumpers
  • Kmise Z2807H3 14 x 17 mm Mini Aluminum Knob
  • Black and Red Plastic Shell Speaker Terminal Binding Posts
  • BOX3-1455N-BK Black Aluminum Box (6.30 x 4.06 x 2.10 in)
  • 2.1mm Metal Panel Mount DC Power Jack
  • 3.5mm Stereo Panel Mount Input Jack

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IP Controlled Outlet

Project Summary

This project utilized common components, as well as some custom PCB design, to create a network controlled electrical outlet capable of sustaining relatively high current loads. The outlet is controlled via an isolated 3.3V control signal — sourced┬áby a BeagleBone Black in this case.

Parts List


  • ABS Project Box
  • 12V DC Power Supply
  • RJ45 Keystone Jack
  • Custom Isolated Relay Driver PCB
  • 125V Neon Indicator Lamp
  • 250V 15A IEC AC Power Entry Module
  • T9AP1D52 SPST 12V DC Relay
  • 10A Circuit Breaker
  • 130V 1000pF Varistor
  • 15A Tamper-Resistant Duplex Outlet

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Ultra-fast, Autonomous, Reconfigurable UAV Disaster Communication System

Abstract

The recent years have witnessed an increase in natural disasters in which the destruction of essential communication infrastructure has significantly affected the number of casualties. In 2005, Hurricane Katrina in the United States resulted in over 1,900 deaths, three million land-line phones disconnections, and more than 2000 cell sites going out of service. This incident highlighted an urgent need for a quick-deployment, efficient communication network for emergency relief purposes. In this research, a fully autonomous system to deploy Unmanned Aerial Vehicles (UAVs) as the first phase disaster recovery communication network for wide-area relief is presented. As part of this system, an automation algorithm has been developed to control the deployment and positioning of the UAVs based on a traditional cell network structure utilizing 7-cell clusters in a hexagonal pattern. In addition to the software algorithm, a fully functional control interface was developed which allowed for full control of the system both locally and over an internet connection. This system represents a novel approach for handling a large-scale autonomous deployment of a UAV communications networks.

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