Category Archive for : ‘Open Source’

Abstract

This post aims to be an entry point to the docker landscape. It will show a basic docker concept and provide a simple example in order to better understand this technology. In this post we will talk about:

the steps required to containerize an application
the setup of the docker network
the setup docker volume

The project’s purpose is to develop a simple nodejs dockerized application, which downloads all the audio files from a public youtube playlist. The application  concerns the following steps and stakeholders:

The user adds some video to a public playlist
Once the user is inside his private

Abstract

This article explains how to engineer an IoT on Edge solution, a multisensor scenario with a wide range of communication protocols. So, the solution proposed, called SMART-IO, is about an implementation of the complete stack to satisfy hardware and software requirements. Then, the engineering samples proposed is a unique System On Module (SOM) or MultiProcessor System On Chip (MPSoC) solution. They are based on Xilinx Zynq family, which allows to manage a high data throughput and low latency when it comes to data processing.

Statement of the problem

The evolution of IoT to

Introduction

The role of precision farming in the actual agronomic plants is crucial for increasing productivity and improving control accuracy. In this article, we propose a smart device, Arduino based and open source, for controlling a little greenhouse of carnivorous plants, called Nebul.IoT, that manages temperature and humidity and, in critical situations, controls the internal nebulization system.

Component
Quantity
Price

Arduino UNO
x1
19 €

DHT11 Sensor module
x1
5 €

Relay 5v Module
x1
2 €

Electrovalve
x1
14 €

Buzzer
x1
1 €

ESP32 PMOD
x1
30 €

The problem

A greenhouse for the carnivorous plants is very difficult to be managed: while this kind of plants needs a specific ecosystem which

Pynq is a famous framework that allows programmers to directly work with FPGA using Python language, which is very intuitive, so let’s take a look at it.

When we want to accelerate a specific software portion, it is generally difficult to interface to it correctly, because you have to synchronize the CPU (generally referred to as Process System, PS) to the FPGA part (generally referred to as Programmable Logic, PL). In modern SoCs, we use the “axi” interface to make the two parts communicate, but its Hardware Description Language (HDL) implementation