Publications

List of published articles

Aruquipa G. , Rojas G. (2021, April). Analysis of Algorithmic Trading with Q-Learning in the Forex Market. In International Conference on Emerging Smart Computing and Informatics
```
@INPROCEEDINGS{9396948,
  author={Grover, Aruquipa A. and Gabriel, Rojas S.},
  booktitle={2021 International Conference on Emerging Smart Computing and Informatics (ESCI)}, 
  title={Analysis of Algorithmic Trading with Q-Learning in the Forex Market}, 
  year={2021},
  volume={},
  number={},
  pages={73-77},
  doi={10.1109/ESCI50559.2021.9396948}}
```
Aruquipa G. , Rojas G. (2021, April). Design And Manufacture of A Delta Type Parallel Robot from the Study of Materials. In 2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) . IEEE.
```
@INPROCEEDINGS{9476134,
  author={Grover, Aruquipa A. and Gabriel, Rojas S.},
  booktitle={2021 IEEE 12th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT)}, 
  title={Design And Manufacture of A Delta Type Parallel Robot from the Study of Materials}, 
  year={2021},
  volume={},
  number={},
  pages={169-174},
  doi={10.1109/ICMIMT52186.2021.9476134}}
```
Aruquipa G. , Rojas G. (2021, April). Design and Implementation of a Delta Robot Based on FPGA for the Automation of the Collection of Solid Products. In 2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) (pp. 114-120). IEEE.
```
@INPROCEEDINGS{9446417,
  author={Grover, Aruquipa A. and Gabriel, Rojas S.},
  booktitle={2021 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM)}, 
  title={Design and Implementation of a Delta Robot Based on FPGA for the Automation of the Collection of Solid Products}, 
  year={2021},
  volume={},
  number={},
  pages={636-641},
  doi={10.1109/ICIEAM51226.2021.9446417}}
```

Aruquipa G. , Fabio Diaz. (2022, January). An IoT architecture based on the control of Bio Inspired manufacturing system for the detection of anomalies with vibration sensors. In Part of special issue: 3rd International Conference on Industry 4.0 and Smart Manufacturing (pp. 13-25). IEEE.

@article{ARUQUIPA2022438,
title = {An IoT architecture based on the control of Bio Inspired manufacturing system for the detection of anomalies with vibration sensors},
journal = {Procedia Computer Science},
volume = {200},
pages = {438-450},
year = {2022},
note = {3rd International Conference on Industry 4.0 and Smart Manufacturing},
issn = {1877-0509},
doi = {https://doi.org/10.1016/j.procs.2022.01.242},
url = {https://www.sciencedirect.com/science/article/pii/S1877050922002514},
author = {Grover Aruquipa and Fabio Diaz},
keywords = {Industrial Internet of Things, Vibration control, Bio inspired system, Manufacturing control, Cyber-Physical System},
abstract = {This work presents an IoT architecture for the detection of anomalies in motors with vibration sensors using a real-time autoen-coder, based on a new bio-inspired control architecture for recently proposed manufacturing systems. Unlike other approaches, this work analyzes the behavior of the anomaly detection system in real time, seeking to cover the new requirements for real-time processing and scalability in control systems. A neural network is implemented to control anomalies based on a bio-inspired architecture, achieving the detection of anomalies in the time domain based on the evaluation of different models based on recurrent neural networks. Similarly, an evaluation is shown regarding the latency of each component of the system, thus finding possible bottlenecks in real-time operation. The system was implemented on a prototype conveyor belt with low-cost accelerometers, commercial-use microcontrollers, and free software.}
}