LUIS ENRIQUE CHUQUIMARCA JIMENEZ

@upse.edu.ec

FACSISTEL
UNIVERSIDAD ESTATAL PENINSULA DE SANTA ELENA



                             

https://researchid.co/luischuquimarca

RESEARCH, TEACHING, or OTHER INTERESTS

Engineering, Electrical and Electronic Engineering

26

Scopus Publications

98

Scholar Citations

7

Scholar h-index

1

Scholar i10-index

Scopus Publications

  • Fruit Deformity Classification Through Single-Input and Multi-input Architectures Based on CNN Models Using Real and Synthetic Images
    Tommy D. Beltran, Raul J. Villao, Luis E. Chuquimarca, Boris X. Vintimilla, and Sergio A. Velastin
    Springer Nature Switzerland

  • A review of external quality inspection for fruit grading using CNN models
    Luis E. Chuquimarca, Boris X. Vintimilla, and Sergio A. Velastin
    Elsevier BV

  • Implementation of a remote laboratory focused on the development of industrial automation practices
    L. Chuquimarca, W. Torres, J. Sánchez, and L. Amaya
    Universidad Nacional Autonoma de Mexico
    The article explores the use of telecommunications applications in the context of the COVID-19 pandemic, affecting employment and education. Technical fields like electronics and automation faced significant challenges as students required access to crucial laboratories for hands-on learning. The proposal to establish a remote laboratory focused on industrial automation emerged in response. This initiative aims to complement the academic pursuits of students and educators in electronics and automation. The project utilizes advanced networking technologies such as VPN and RDP to provide students with controlled and secure access to fully equipped workstations, including computers, programmable automation controllers, variable frequency drives, HMI, and other essential devices for practical exercises. The article meticulously details the architecture and implementation of the remote laboratory, offering a comprehensive overview of remotely conducted practical activities. This innovative approach ensures equitable access to high-quality education, preparing students for an ever-evolving professional landscape.

  • Efficient Forecasting of Residential Electrical Loads for Sustainable Demand Planning in Smart Grids
    Luis Chuquimarca Jimenez, Manuel Montano Blacio, Oscar Gomez Morales, Danny Del Pezo Tomala, and Washington Torres Guin
    IEEE
    This study focuses on the efficient management of electrical demand in households, prioritizing sustainable planning through the application of neural networks and Internet of Things (loT) technologies. The main objective is to develop and implement a short-term predictive system for electrical loads in residential settings, utilizing measurement devices and loT sensors to gather precise data. The methodology spans from data processing to the implementation of a machine learning model. The proposal stands out not only for its exceptional accuracy, achieving a notable 98 % effectiveness in electrical load predictions but also for its innovative approach and commitment to sustainability.

  • Classifying Healthy and Defective Fruits with a Multi-Input Architecture and CNN Models
    Luis Chuquimarca, Boris Vintimilla, and Sergio Velastin
    IEEE
    This study presents an investigation into the utilization of a Multi-Input architecture for the classification of fruits (apples and mangoes) into healthy and defective states, employing both RGB and silhouette images. The primary aim is to enhance the accuracy of CNN models. The methodology encompasses image acquisition, preprocessing of datasets, training, and evaluation of two CNN models: MobileNetV2 and VGG16. Results reveal that the inclusion of silhouette images alongside the MultiInput architecture yields models with superior performance compared to using only RGB images for fruit classification, whether healthy or defective. Specifically, optimal results were achieved using the MobileNetV2 model, achieving 100% accuracy. This finding suggests the efficacy of this combined methodology in improving the precise classification of healthy or defective fruits, which could have significant implications for applications related to external quality inspection of fruits.

  • Enhancing Apple’s Defect Classification: Insights from Visible Spectrum and Narrow Spectral Band Imaging
    Omar Coello, Moisés Coronel, Darío Carpio, Boris Vintimilla, and Luis Chuquimarca
    IEEE
    This study addresses the classification of defects in apples as a crucial measure to mitigate economic losses and optimize the food supply chain. An innovative approach is employed that integrates images from the visible spectrum and 660 nm spectral wavelength to enhance accuracy and efficiency in defect classification. The methodology is based on the use of Single-Input and Multi-Inputs convolutional neural networks (CNNs) to validate the proposed strategies. Steps include image acquisition and preprocessing, classification model training, and performance evaluation. Results demonstrate that defect classification using the 660 nm spectral wavelength reveals details not visible in the entire visible spectrum. It is seen that the use of the appropriate spectral range in the classification process is slightly superior to the entire visible spectrum. The MobileNetV1 model achieves an accuracy of 98.80% on the validation dataset versus the 98.26% achieved using the entire visible spectrum. Conclusions highlight the potential to enhance the method by capturing images with specific spectral ranges using filters, enabling more effective network training for classification task. These improvements could further enhance the system’s capability to identify and classify defects in apples.

  • Automated Quality Control System for Canned Tuna Production using Artificial Vision
    Sendey Vera Gonza’Lez, Luis Chuquimarca Jimenez, Wilson Galdea Gonzalez Given, Bremnen Véliz Noboa, and Carlos Saldaña Enderica
    IEEE
    This work presents the implementation of an automated control system for detecting and classifying faults in tuna metal cans using artificial vision. The system utilizes a conveyor belt and a camera for visual recognition triggered by a photoelectric sensor. A robotic arm classifies the metal cans according to their condition. Industry 4.0 integration is achieved through an IoT system using Mosquitto, Node-RED, InfluxDB, and Grafana. The YOLOv5 model is employed to detect faults in the metal can lids and the positioning of the easy-open ring. Training with GPU on Google Colab enables OCR text detection on the labels. The results indicate efficient real-time problem identification, optimization of resources, and delivery of quality products. At the same time, the vision system contributes to autonomy in quality control tasks, freeing operators to perform other functions within the company.

  • Development of a Mouse for Individuals Without Upper Limbs Using Arduino Technology
    Alfonso Gunsha-Morales, Luis Enrique Chuquimarca Jimenez, Pedro Pardo, and David Herrera
    IEEE
    This project centers around creating a prototype mouse utilizing the Arduino platform, aimed at enhancing computer accessibility for individuals lacking upper limb mobility. The prototype comprises a microcontroller responsible for processing signals from the MPU-6050 sensor, used as a reference for cursor position, and foot-operated buttons for right and left-click functions. Its design enables cursor control through head movements, providing users with an easy and intuitive way to interact with the computer's graphical interface. Feasibility testing was conducted through experimental trials, resulting in ideal accuracy and precision. These trials indicate that the device is viable for use in individuals without upper limbs.

  • Empowering Low-Power Wide-Area Networks: Unlocking the Potential of Sigfox in Local Transmission
    Manuel Montaño Blacio, Vladimir García Santos, Daniel Jaramillo Chamba, Washington Torres Guin, and Luis Chuquimarca Jiménez
    Springer Nature Switzerland

  • Implementation of an Electronic Monitoring Device Using Computer Vision for Non-Invasive Respiratory Rate Measurement
    David Sánchez, Luis Chuquimarca, Óscar Gómez, Manuel Montaño, and Mario Salcedo
    IEEE
    An electronic monitoring circuit has been developed to detect a person's respiratory rate without requiring medical professionals or physical contact, thereby improving patient comfort. The Eulerian Video Magnification method and the Optical Flow technique were applied in computer vision to obtain, quantify and analyze respiratory movements using videos in an efficient manner that standard sensors might misread. The circuit can perform constant monitoring at low cost using a Raspberry pi camera OV5647 which has an intuitive interface to be used for the analysis. Comparative tests were conducted between the proposed device and a traditional thermistor-based nasal sensor. The findings showed that the non-invasive device achieved a high precision rate, closely matching the accuracy of the traditional method, with a margin of error below 1.5% in well-lit environments. The results indicate that computer vision can be implemented to develop efficient, low-cost medical monitoring solutions for clinical and homecare environments.

  • Banana Ripeness Level Classification Using a Simple CNN ModeTrained with Real and Synthetic Datasets
    Luis Chuquimarca, Boris Vintimilla, and Sergio Velastin
    SCITEPRESS - Science and Technology Publications

  • Fruit Defect Detection Using CNN Models with Real and Virtual Data
    Renzo Pacheco, Paula González, Luis Chuquimarca, Boris Vintimilla, and Sergio Velastin
    SCITEPRESS - Science and Technology Publications

  • KALMAN FILTER APPLIED TO A DIFFERENTIAL ROBOT
    Sendey Vera Gonzalez Facsistel, Luis Chuquimarca Jiménez Facsistel, and Douglas Plaza Fiec
    IEEE
    This document presents the localization problem and the trajectory that a robot must follow. It focuses on applying the Kalman filter to achieve localization and trajectory estimation in an autonomous mobile differential robot. The experimental data was obtained through tests conducted by using two incremental encoders that are part of the instrumentation of the differential robot. Data transmission is carried out from a PC, where control is performed using Matlab/Simulink software. The results are presented in graphs showing the robot's trajectory using PI control and the Kalman filter estimator in a real scenario.

  • Identification of Bus Stations on the Urban Transport Network Based on GPS Tracking Data
    Washington Daniel Torres Guin, Luis Enrique Chuquimarca Jiménez, Samuel Baldomero Bustos Gaibor, José Miguel Sánchez Aquino, and Marjorie Alexandra Coronel Suárez
    Springer Nature Switzerland

  • Design of the Automated System for the Acquisition, Recording and Analysis of Data in the Development of Indicators of Consumption and Production Energy
    Saldaña Enderica Carlos, Chuquimarca Jiménez Luis, Torres Guin Washington, Bustos Gaibor Samuel, and Flores Tomalá Daniel
    Springer Nature Singapore

  • A Comprehensive Study on Remote Laboratories Based on Pneumatic and Electro-Pneumatic Systems
    Roger Michell Idrovo Urgilés, Washington Daniel Torres Guin, Luis Enrique Chuquimarca Jiménez, Samuel Baldomero Bustos Gaibor, and Sendey Agustín Vera González
    Springer Nature Switzerland

  • Identification of Mango Fruit Maturity Using Robust Industrial Devices and Open-Source Devices Applying Artificial Vision
    Samuel Baldomero Bustos Gaibor, Luis Enrique Chuquimarca Jiménez, José Miguel Sánchez Aquino, Carlos Alberto Saldaña Enderica, and David Eduardo Sánchez Espinoza
    Springer Nature Switzerland

  • Evaluation of Data Transfer from PLC to Cloud Platforms-Based Real-Time Monitoring Using the Industrial Internet of Things
    Luis Chuquimarca, Alba Asencio, Washington Torres, Samuel Bustos, José Sánchez, and Carlos Saldaña
    Springer International Publishing

  • Development of a Mobile IoT Device for Supervision and Alert BPM Problems
    Luis Chuquimarca, Dahyana Roca, Washington Torres, Luis Amaya, Jaime Orozco, and David Sánchez
    Springer International Publishing

  • Velocity scaling in open-channel flows with sediment transport
    American Society for Microbiology
    Structure of RbdA, a Regulator of Biofilm Dispersal of Pseudomonas aeruginosa Understanding how proteins containing tandem GGDEF-EAL domains control c-diGMP concentration is crucial for deciphering the mechanism of c-di-GMP signaling. Liu et al. (e00515-17) determined the crystal structure of the PAS-GGDEF-EAL portion of RbdA, a bifunctional protein that regulates dispersal of Pseudomonas aeruginosa biofilms. Together with biochemical data, the crystal structure points towards a highly flexible protein that undergoes dramatic structural rearrangements to control the activity of its GGDEF and EAL domains for c-di-GMP synthesis and degradation. This work sets the stage for a better understanding of the highly dynamic regulatory mechanism that underpins the biological functions of GGDEF-EAL-containing proteins.

  • Development of Network System for Connection PLC to Cloud Platforms Using IIoT
    Chuquimarca Jiménez Luis, Asencio Gonzabay Alba, Torres Guin Washington, Bustos Gaibor Samuel, and Sánchez Aquino José
    Springer International Publishing

  • Mobile IoT device for BPM monitoring people with heart problems
    Luis Chuquimarca, Dahyana Roca, Washington Torres, Luis Amaya, Jaime Orozco, and David Sanchez
    IEEE
    The system was developed using a mobile electronic device for monitoring and warnings the heart problems when the heart rate is outside the nominal range, which ranges is from 60 to 100 beats per minute. The system has been developed to save and monitor in real time changes of the cardiac pulsations through a sensor connected to a control system. The connection of the communication module was made using Arduino GSM/GPRS/GPS. This platform allows to locate the user using the GPS network and connects with GSM / GPRS technology to sent text messages to the contact number configured in the device when warnings of heart problems are issued. Moreover, it connects to the internet to store data in the cloud.

  • Implementation of the pineaplle tetra module for an audit process through impersonation of aps in the 2.4 and 5 ghz band in the telecommunications laboratory of the electronics and telecommunications career


  • Study of Feature Extraction Methods for BCI Applications
    Milton León, Diego Orellana, Luis Chuquimarca, and Ximena Acaro
    Springer International Publishing

  • Two-diode model parameter evaluation from dark characteristics of back-contact back-junction solar cells
    Luis Chuquimarca, Ximena Acaro, Alfonso Gunsha, Luis Villamagua, and David Sánchez
    Springer International Publishing

RECENT SCHOLAR PUBLICATIONS

  • Implementation of an Electronic Monitoring Device Using Computer Vision for Non-Invasive Respiratory Rate Measurement
    D Snchez, L Chuquimarca, Gmez, M Montao, M Salcedo
    2024 IEEE International Conference on Machine Learning and Applied Network 2024

  • Fruit Deformity Classification Through Single-Input and Multi-input Architectures Based on CNN Models Using Real and Synthetic Images
    TD Beltran, RJ Villao, LE Chuquimarca, BX Vintimilla, SA Velastin
    Iberoamerican Congress on Pattern Recognition, 46-62 2024

  • A review of external quality inspection for fruit grading using CNN models
    LE Chuquimarca, BX Vintimilla, SA Velastin
    Artificial Intelligence in Agriculture 2024

  • Efficient Forecasting of Residential Electrical Loads for Sustainable Demand Planning in Smart Grids
    LC Jimenez, MM Blacio, OG Morales, DDP Tomala, WT Guin
    2024 International Conference on Electrical, Computer and Energy 2024

  • Enhancing Apple’s defect classification: insights from visible spectrum and narrow spectral band imaging
    O Coello, M Coronel, D Carpio, B Vintimilla, L Chuquimarca
    2024 14th International Conference on Pattern Recognition Systems (ICPRS), 1-6 2024

  • Classifying healthy and defective fruits with a multi-input architecture and CNN models
    L Chuquimarca, B Vintimilla, S Velastin
    2024 14th International Conference on Pattern Recognition Systems (ICPRS), 1-7 2024

  • Automated Quality Control System for Canned Tuna Production using Artificial Vision
    SV Gonza’Lez, LC Jimenez, WGG Given, BV Noboa, CS Enderica
    2024 3rd International Conference on Artificial Intelligence For Internet of 2024

  • Development of a Mouse for Individuals Without Upper Limbs Using Arduino Technology
    A Gunsha-Morales, LEC Jimenez, P Pardo, D Herrera
    2024 Second International Conference on Emerging Trends in Information 2024

  • Implementation of a remote laboratory focused on the development of industrial automation practices
    L Chuquimarca, W Torres, J Snchez, L Amaya
    Journal of Applied Research and Technology 22 (4), 479-487 2024

  • Kalman filter applied to a differential robot
    S Vera, L Chuquimarca, D Plaza
    2023 1st International Conference on Circuits, Power and Intelligent Systems 2023

  • Empowering Low-Power Wide-Area Networks: Unlocking the Potential of Sigfox in Local Transmission
    MM Blacio, VG Santos, DJ Chamba, WT Guin, LC Jimnez
    International Conference on Advanced Research in Technologies, Information 2023

  • KALMAN FILTER APPLIED TO A DIFFERENTIAL ROBOT
    SVG Facsistel, LCJ Facsistel, DP Fiec
    2023 1st International Conference on Circuits, Power and Intelligent Systems 2023

  • Identification of Bus Stations on the Urban Transport Network Based on GPS Tracking Data
    WDT Guin, LEC Jimnez, SBB Gaibor, JMS Aquino, MAC Surez
    International Conference on Computational Science and Its Applications, 110-122 2023

  • Banana Ripeness Level Classification Using a Simple CNN Model Trained with Real and Synthetic Datasets.
    LE Chuquimarca, BX Vintimilla, SA Velastin
    VISIGRAPP (5: VISAPP), 536-543 2023

  • Fruit Defect Detection Using CNN Models with Real and Virtual Data.
    R Pacheco, P Gonzlez, LE Chuquimarca, BX Vintimilla, SA Velastin
    VISIGRAPP (4: VISAPP), 272-279 2023

  • Design and simulation of a conveyor belt system for box sorting and classification
    LEC Jimnez, JC Cruz, G Delgado Vergara, EJ Solano
    Revista Cientfica y Tecnolgica UPSE (RCTU) 9 (2), 19-30 2022

  • Diseo y simulacin de un sistema de cintas transportadoras para la clasificacin de cajas
    LEC Jimnez, JC Cruz, G Delgado Vergara, EJ Solano
    Revista Cientfica y Tecnolgica UPSE (RCTU) 9 (2), 19-30 2022

  • Design of the Automated System for the Acquisition, Recording and Analysis of Data in the Development of Indicators of Consumption and Production Energy
    SE Carlos, CJ Luis, TG Washington, BG Samuel, FT Daniel
    Advances in Manufacturing Technology and Management: Proceedings of 6th 2022

  • Identification of Mango Fruit Maturity Using Robust Industrial Devices and Open-Source Devices Applying Artificial Vision
    SB Bustos Gaibor, LE Chuquimarca Jimnez, JM Snchez Aquino, ...
    International Conference on Advanced Research in Technologies, Information 2022

  • A Comprehensive Study on Remote Laboratories Based on Pneumatic and Electro-Pneumatic Systems
    RM Idrovo Urgils, WD Torres Guin, LE Chuquimarca Jimnez, ...
    International Conference on Advanced Research in Technologies, Information 2022

MOST CITED SCHOLAR PUBLICATIONS

  • Mobile IoT device for BPM monitoring people with heart problems
    L Chuquimarca, D Roca, W Torres, L Amaya, J Orozco, D Snchez
    2020 International Conference on Electrical, Communication, and Computer 2020
    Citations: 23

  • Banana Ripeness Level Classification Using a Simple CNN Model Trained with Real and Synthetic Datasets.
    LE Chuquimarca, BX Vintimilla, SA Velastin
    VISIGRAPP (5: VISAPP), 536-543 2023
    Citations: 9

  • Deteccin de Mascarilla para COVID-19 a travs de Aprendizaje Profundo usando OpenCV y Cascade Trainer GUI
    L Chuquimarca Jimnez, S Pinzn Tituana, A Rosales Pincay
    Revista Cientfica y Tecnolgica UPSE (RCTU) 8 (1), 68-73 2021
    Citations: 8

  • Simulacin electrnica del microprocesador GAL22V10 mediante el software Proteus basado en VHDL para virtualizar circuitos integrados
    LE Chuquimarca Jimenez, P Surez Ricardo, F Lpez Silva
    Revista Cientfica y Tecnolgica UPSE (RCTU) 8 (1), 107-115 2021
    Citations: 8

  • Empowering Low-Power Wide-Area Networks: Unlocking the Potential of Sigfox in Local Transmission
    MM Blacio, VG Santos, DJ Chamba, WT Guin, LC Jimnez
    International Conference on Advanced Research in Technologies, Information 2023
    Citations: 7

  • Estudio comprensivo de la Transformada de Fourier Discreta para el anlisis de seales digitales
    D Jaramillo Chamba, L Chuquimarca Jimnez
    Revista Cientfica y Tecnolgica UPSE (RCTU) 9 (1), 75-84 2022
    Citations: 7

  • Development of Network System for Connection PLC to Cloud Platforms Using IIoT
    L Chuquimarca, A Asencio, W Torres, S Bustos, J Snchez
    International Conference on Advances in Digital Science, 433-443 2021
    Citations: 7

  • Fruit Defect Detection Using CNN Models with Real and Virtual Data.
    R Pacheco, P Gonzlez, LE Chuquimarca, BX Vintimilla, SA Velastin
    VISIGRAPP (4: VISAPP), 272-279 2023
    Citations: 6

  • Evaluation of Data Transfer from PLC to Cloud Platforms-Based Real-Time Monitoring Using the Industrial Internet of Things
    L Chuquimarca, A Asencio, W Torres, S Bustos, J Snchez, C Saldaa
    Information and Knowledge in Internet of Things, 331-344 2021
    Citations: 5

  • Study of feature extraction methods for BCI applications
    M Len, D Orellana, L Chuquimarca, X Acaro
    The International Conference on Advances in Emerging Trends and Technologies 2019
    Citations: 4

  • Diseo y simulacin de un sistema de cintas transportadoras para la clasificacin de cajas
    LEC Jimnez, JC Cruz, G Delgado Vergara, EJ Solano
    Revista Cientfica y Tecnolgica UPSE (RCTU) 9 (2), 19-30 2022
    Citations: 3

  • Implementation of a remote laboratory focused on the development of industrial automation practices
    L Chuquimarca, W Torres, J Snchez, L Amaya
    Journal of Applied Research and Technology 22 (4), 479-487 2024
    Citations: 2

  • Development of a Mobile IoT Device for Supervision and Alert BPM Problems
    L Chuquimarca, D Roca, W Torres, L Amaya, J Orozco, D Snchez
    Information and Knowledge in Internet of Things, 311-329 2021
    Citations: 2

  • Velocity scaling in open-channel flows with sediment transport.
    P Corapi, XC Acaro Chacn, LE Chuquimarca Jimenez
    Tecnologa y Ciencias del Agua 12 (5) 2021
    Citations: 2

  • A review of external quality inspection for fruit grading using CNN models
    LE Chuquimarca, BX Vintimilla, SA Velastin
    Artificial Intelligence in Agriculture 2024
    Citations: 1

  • Enhancing Apple’s defect classification: insights from visible spectrum and narrow spectral band imaging
    O Coello, M Coronel, D Carpio, B Vintimilla, L Chuquimarca
    2024 14th International Conference on Pattern Recognition Systems (ICPRS), 1-6 2024
    Citations: 1

  • Classifying healthy and defective fruits with a multi-input architecture and CNN models
    L Chuquimarca, B Vintimilla, S Velastin
    2024 14th International Conference on Pattern Recognition Systems (ICPRS), 1-7 2024
    Citations: 1

  • Identification of Mango Fruit Maturity Using Robust Industrial Devices and Open-Source Devices Applying Artificial Vision
    SB Bustos Gaibor, LE Chuquimarca Jimnez, JM Snchez Aquino, ...
    International Conference on Advanced Research in Technologies, Information 2022
    Citations: 1

  • Two-Diode Model Parameter Evaluation from Dark Characteristics of Back-Contact Back-Junction Solar Cells
    L Chuquimarca, X Acaro, A Gunsha, L Villamagua, D Snchez
    The 2018 International Conference on Digital Science, 200-207 2018
    Citations: 1