INVESTIGACIÓN

Behavioral Signal Processing with Machine Learning Based on FPGA

This work describes the training and implementation of a neural network as an artificial intelligence model to predict the behavior of an individual, taking advantage of the flexibility provided by Field Programmable Gate Arrays (FPGAs). We propose the design of an edge computing system, analyzing the efficiency on power, area and computational performance. The results are presented through a display, making a comparison of the predicted and expected steps.

Galo Sánchez

Monitoring a turkey hatchery based on a cyber-physical system                                                       

The implementation of a turkey farm brings with it severe environmental problems due to the deficient study of the physical space where the animals are placed. The solution is based on a cyber-physical system which is composed of a network of sensors, controller and actuator.   

Maisincho-Jivaja    &    Alejandro-Sanjines

Raspberry Pi-based IoT for shrimp farms Real-time remote monitoring with automated system

This project analyses the optimal parameters for the shrimp farming, trying to help the aquaculture of Ecuador, using a cyberphysical system, which includes temperature, salinity, dissolved oxygen, and pH sensors to monitor the water conditions and an embedded system to control it using an XBee andATMega328p microcontrollers to remotely activate and deactivate aerators to maintain the quality of each pool in neat conditions.

Erick Ruiz     &   Jesús Capelo

Implementation Of Automated System For The Reservoir 66 of the Irrigation System Chambo Guano                                                   

This paper presents the control and monitoring of an automated system that is being implemented for the automation of a 66-irrigation reservoir located in Chambo Guano in the Chimborazo province, Ecuador. The Global System for Mobile communication / General Packet Radio Service (GSM) is used through a Long-Term Evolution (4G LTE) antenna and a communication module connected to a Programable Logic Controller (PLC) in order to notify the status of the valves, electric power troubles and the control signals for the correct operation of the irrigation system, so it can be done remotely. 

Juan Arias

A 3D-Printed EEG based Prosthetic Arm

The following topics are dealt with: diseases; learning (artificial intelligence); health care; feature extraction; medical signal processing; medical image processing; medical disorders; neural nets; patient monitoring; image classification.

Josue Fuentes-González    &  Andrés Infante-Alarcón

k-NN-Based EMG Recognition for Gestures Communication with Limited Hardware Resources                                                 

In this paper we propose an FPGA-based wearable EMG gesture recognition system to support the communication of customized phrases for people with speech impairments. Machine learning algorithms can accurately identify gestures, usually relying in a large number of features or large training datasets. In this work, we focus on using a small number of features in the gesture classification process in order to reduce the need for computational power.

Carlos Cedeño Z.

Monitoring of system memory usage embedded in FPGA

The proposed design can be an introduction to the development of applications that can be specifically monitored for a component of the embedded system in FPGA, because FPGA is currently being used for different purposes such as machine learning, real-time image processing, mining of Bitcoins, among others. These applications are quite robust, which implies a high demand for processing for the embedded system.

Rommel Saquicela    &  Luis Macas López

FPGA Based Meteorological Monitoring Station                                                 

In this paper, we propose to implement a meteorological monitoring station using embedded systems. This model is possible thanks to different sensors that enable us to measure several environmental parameters, such as i) relative humidity, ii) average ambient temperature, iii) soil humidity, iv) rain occurrence, and v) light intensity. The proposed system is based on a field-programmable gate array device (FPGA). The proposed design aims at ensuring high-resolution data acquisition and at predicting samples with precision and accuracy in real-time. To present the collected data, we develop also a web application with a simple and friendly user interface.

Steven Santillan & Juan Cadena