Elmer A. G. Peñaloza

Orcid: 0000-0001-8026-6762

Affiliations:
  • Federal University of Pelotas, Brazil


According to our database1, Elmer A. G. Peñaloza authored at least 11 papers between 2016 and 2021.

Collaborative distances:
  • Dijkstra number2 of six.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2021
Using Soft Sensors as a Basis of an Innovative Architecture for Operation Planning and Quality Evaluation in Agricultural Sprayers.
Sensors, 2021

Characterization of Physical Parameters of an Agricultural Electric Vehicle based on the Dynamic Analysis in a Simulated Environment.
Proceedings of the 15th IEEE International Conference on Semantic Computing, 2021

2020
State Observer Embedded in a Digital Processor for DC Motor Velocity Estimation.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

Low-Cost Software and Hardware Architecture of a Supervisory System for Monitoring and Control of Dynamic Systems.
Proceedings of the IEEE 14th International Conference on Semantic Computing, 2020

2019
Seismograph Design for Landslide Monitoring in the Andean Region Using Automatic Control Techniques and Mathematical Modeling.
Proceedings of the Advances in Swarm Intelligence - 10th International Conference, 2019

Soft-Sensor based on k-NN classifiers in Agricultural Pest Control.
Proceedings of the 17th European Control Conference, 2019

2018
A Hydraulic-Pump Speed Controller in Agricultural Sprayers Based on the Automation and Use of the Control Area Network (CAN) Bus.
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

Module for Virtual Calibration of Sensors of Agricultural Spraying Systems (Temperature, Pressure and flow) Using an Arduino-Based Architecture and a Controller Area Network Bus (CAN).
Proceedings of the 12th IEEE International Conference on Semantic Computing, 2018

2017
A Model Approach to Infer the Quality in Agricultural Sprayers Supported by Knowledge Bases and Experimental Measurements.
Int. J. Semantic Comput., 2017

Database and Knowledge Base Integration Method to Support Decision-Making Related to Quality of Application and Use of Agricultural Sprayers.
Proceedings of the 11th IEEE International Conference on Semantic Computing, 2017

2016
An Advanced Model Based on Analytical and Computational Procedures for the Evaluation of Spraying Processes in Agriculture.
Proceedings of the Tenth IEEE International Conference on Semantic Computing, 2016


  Loading...