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First Name: 
Victor
Last Name: 
Asanza
Affiliation: 
Escuela Superior Politecnica del Litoral
Job Title: 
Researcher
Expertise: 
FPGA-based Digital Systems Design, Embedded Systems, Hardware Design, Open Hardware, Artificial Intelligence and Brain-Computer Interface
Short Bio: 
He was graduated as Electronic and Telecommunications Engineering on 2009 (ESPOL, Ecuador). He has worked as Professor of Electronic's Department since 2012 at Escuela Superior Politécnica del Litoral. He has been researching in fields like, FPGA-based Digital Systems Design, Embedded Systems, Hardware Design and Biomedical Signal Processing with a major research interest in Artificial Intelligence and Brain-Computer Interface. He was graduated as master in Automation and Industrial Control on 2012 (ESPOL, Ecuador). Currently, He is Ph.D. Candidate at Escuela Superior Politécnica del Litoral in Applied Computer Science.

Datasets & Competitions

This dataset has received power measurements from three receivers using a mobile transmitter. An area of 4m x 2m was divided into 200 squares. The transmitter was positioned in each grid and 100 measurements of RSSI values received at three fixed receivers were made, as shown in the graph. This dataset has a total of 2000 rows corresponding to 100 examples in each of the 200 grid positions. In addition, the dataset has the following columns:

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60898 Views

The 2 PHASE ENERGY METER 100A (2PEM-100A) is a power consumption monitor based on an embedded system. In the hope of promoting responsible energy consumption, we have decided to release this open source hardware project that was developed in the course "Development of Electronic Prototypes" at the ESPOL University. The 2PEM-100A allows to monitor the following parameters: Voltage (V), Current (A), Power (W), Frequency (Hz), Energy (KWh), Power Factor and Temperature (°C) of the 2PEM-100A.

Last Updated On: 
Thu, 12/09/2021 - 03:02
Citation Author(s): 
Adrian Bazurto, Víctor Asanza, Ronald Reyes,Douglas Plaza, Diego Peluffo-Ordóñez

The Temperature and Speed Control Lab (TSC-Lab) is an application of feedback control with an ESP32, an LED, two heaters, two temperature sensors, one direct current motor and an optical encoder as a revolution per minute (rpm) meter. The heater power output is adjusted to maintain the desired temperature setpoint. Thermal energy from the heater is transferred by conduction, convection, and radiation to the temperature sensor.

Instructions: 

The files must be downloaded and placed in the same folder so that they can be compiled in MATLAB, remember that these data were obtained in open loop for their respective identification of this system.

Temperature plant data:

  • In any data "dato.csv" the first column represents the temperature acquired by sensor 1, the second column the temperature acquired by sensor 2, third and fourth column represent the state of activation (1) or deactivation (0) of transistor 1 and 2, respectively.

DC motor speed plant data:

  • The motor speed control plant allows the engine RPM to be measured with the help of an optical echoder. The speed and direction of the motor is controlled through a motodriver.

Source code:

 

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13806 Views

The Temperature and Speed Control Lab (TSC-Lab) is an application of feedback control with an ESP32, an LED, two heaters, two temperature sensors, one direct current motor and an optical encoder as a revolution per minute (rpm) meter. The heater power output is adjusted to maintain the desired temperature setpoint. Thermal energy from the heater is transferred by conduction, convection, and radiation to the temperature sensor.

Instructions: 

The files must be downloaded and placed in the same folder so that they can be compiled in MATLAB, remember that these data were obtained in open loop for their respective identification of this system.

Temperature plant data:

  • In any data "dato.csv" the first column represents the temperature acquired by sensor 1, the second column the temperature acquired by sensor 2, third and fourth column represent the state of activation (1) or deactivation (0) of transistor 1 and 2, respectively.

DC motor speed plant data:

  • Developing..
Categories:
10 Views

The Temperature and Speed Control Lab (TSC-Lab) is an application of feedback control with an ESP32, an LED, two heaters, two temperature sensors, one direct current motor and an optical encoder as a revolution per minute (rpm) meter. The heater power output is adjusted to maintain the desired temperature setpoint. Thermal energy from the heater is transferred by conduction, convection, and radiation to the temperature sensor.

Instructions: 

The files must be downloaded and placed in the same folder so that they can be compiled in MATLAB, remember that these data were obtained in open loop for their respective identification of this system.

Temperature plant data:

  • In any data "dato.csv" the first column represents the temperature acquired by sensor 1, the second column the temperature acquired by sensor 2, third and fourth column represent the state of activation (1) or deactivation (0) of transistor 1 and 2, respectively.

DC motor speed plant data:

  • Developing..
Categories:
9 Views

This repository includes the energy consumption data set of a Data Server that is running in the facilities of the Information Technology Center (CTI) of the Escuela Superior Politécnica del Litoral (ESPOL). In addition, it includes Matlab scripts to perform the prediction of energy consumption. The data acquisition equipment was implemented in the Electronic Prototype Development Matter of the Faculty of Electrical Engineering and Computing (FIEC), based on the ESP32 hardware.

Instructions: 

Data were collected from an HP Z440 workstation for 245 days (35 weeks) with a sampling rate of one value per second. The columns represent the following variables:

  •  Voltage (V)
  • Currennt (A)
  • Power (PA) - Watts (W)
  • Frecuency - Hertz (Hz)
  • Active Energy - kilowatts per hour (KWh)
  • Power factor - Adimentional
  • ESP32 temperature - Centigrade Degrees (°C)
  • CPU consumption - Percentage (%)
  • CPU power consumption - Percentage (%)
  • CPU temperature - Centigrade Degrees (°C)
  • GPU consumption - Percentage (%)
  • GPU power consumption - Percentage (%)
  • GPU temperature - Centigrade Degrees (°C)
  • RAM memory consumption - Percentage (%)
  • RAM memory power consumption - Percentage (%)

Source code:

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12323 Views

The data acquisition process begins with capturing EEG signals from 20 healthy skilled volunteers who gave their written consent before performing the experiments. Each volunteer was asked to repeat an experiment for 10 times at different frequencies; each experiment was trigger by a visual stimulus.

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33722 Views

This is an initiative developed by FIEC-ESPOL professors. Temperature and Speed Control Lab (TSC-LAB) is an open source hardware development.

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95094 Views

The electrodes are sensors capable of reading EMG signals or ocular myoelectric activity during eye movements [1]. For this purpose, two vertical electrodes and two horizontal electrodes were used, with a reference electrode on the forehead (See the figure). 10 subjects performed 10 pseudo-random repetitions of each of the following eye movements during the experiment: Up, Down, Right, Left, no movement (fixation in the center) and blinking.

Instructions: 

The activities carried out by each of the 10 subjects were: Up, Down, Right, Left, no movement (fixation in the center) and blinking.

The tasks were separated by folders as detailed below:

  • CN - Normal Behavior
  • MD - Downward Movement
  • ML - Movement to the left
  • MP - Blink
  • MR - Right movement
  • MU - Upward Movement

Each folder contains 100 .CSV files, corresponding to the 10 tasks performed by each of the 10 subjects.

These files were numbered randomly in each of the folders.

Each file contains two columns corresponding to horizontal and vertical movement. In addition, each file contains 250 endpoints corresponding to a sampling of 120 data per second during the approximately 2 seconds of task completion.

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87325 Views