López-Pimentel, Juan Carlos

Main Affiliation
Preferred name
López-Pimentel, Juan Carlos
Official Name
López Pimentel, Juan Carlos
ORCID
0000-0002-7844-3261
Researcher ID
T-3594-2018
Scopus Author ID
57221468168

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    A Hierarchical Modular Fuzzy Model for Instability Susceptibility Assessment and Stabilization Decision Support in Rock Slopes
    (MDPI AG, 2026-08-03)
    Rodríguez-Servín, Marsella Gissel
    ;
    Arreygue-Rocha, José Eleazar
    ;
    Lobato-Báez, Mariana
    ;
    López-Pimentel, Juan Carlos  
    ;
    Díaz-Barriga, José Manuel
    Traditional rock mass evaluation methods have three main limitations: (1) their application depends largely on specialist judgment; (2) their discrete classification approach, such as RMR (Rock Mass Rating) and SMR (Slope Mass Rating), leads to abrupt transitions between categories; and (3) the interaction among geomechancial parameters is limited; these aspects reduce their ability to represent slope behavior in a gradual manner. The main objective of this research was to develop a model capable of representing gradual transitions between geomechanical conditions and the interaction among parameters related to susceptibility to instability. The model uses a hierarchical modular framework based on the Mamdani fuzzy inference mechanism, allowing the incorporation of expert knowledge through linguistic rules. It is implemented in a graphical environment that allows users to directly use geomechanical parameters obtained through conventional characterization or from three-dimensional digital models derived from UAV (Unmanned Aerial Vehicle) photogrammetry. Model consistency was evaluated through a sensitivity analysis, which verified the model’s response coherence across variations in input parameters. The graphical evaluation tool was then applied to three real case studies with different geomechanical configurations, and the results were compared with those from traditional methods (RMR and SMR). The results showed differences between traditional and fuzzy approaches, as our proposal links recommendations to specific geomechanical conditions across different evaluation levels, identifying conditions for potential intervention measures. In addition, the model enables the zonification of instability susceptibility, facilitating its use in future risk analyses. Our model is intended for application under normal slope conditions, without accounting for extreme events or external dynamic loads, such as seismic activity, groundwater level variations, infiltration, or high-mountain conditions. © 2026 by the authors.
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    Efficient Deep Learning-Based M-PSK Detection for OFDM V2V Systems Using MobileNetV3
    (MDPI AG, 2026-03-11)
    Tonix-Gleason, Luis E.
    ;
    Del-Puerto-Flores, J. Alberto  
    ;
    Peña-Campos, Fernando
    ;
    del Puerto-Flores, Dunstano
    ;
    López-Pimentel, Juan Carlos  
      11Scopus© Citations 1
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      22
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    Sustainable Project-Based Learning Methodology Adaptable to Technological Advances for Web Programming
    (2021)
    López-Pimentel, Juan Carlos  
    ;
    Alejandro Medina-Santiago
    ;
    Del-Valle-Soto, Carolina  
    ;
    Alcaraz Rivera, Miguel  
    <jats:p>The fast pace of development of the Internet and the Coronavirus Disease (COVID-19) pandemic have considerably impacted the educative sector, encouraging the constant transformation of the teaching/learning strategies and more in technological areas as Educational Software Engineering. Web programming, a fundamental topic in Software Engineering and Cloud-based applications, deals with various critical challenges in education, such as learning continuous emerging technological tools, plagiarism detection, generating innovative learning environments, among others. Continual change and even more change with the current digitization becomes a challenge for teachers and students who cannot depend on traditional educational methods. The article presents a sustainable teaching/learning methodology for web programming courses in Engineering Education using project-based learning adaptable to the continuous web technological advances. The methodology has been developed and improved during 9 years, 15 groups, and 3 different universities. Our results demonstrate that the methodology is adaptable with new technologies that might arise; it also presents the advantages of avoiding plagiarism in students and a personalized induction for every specific student in the learning process.</jats:p>
      1  14Scopus© Citations 21
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    Traceability of Mexican Avocado Supply Chain: A Microservice and Blockchain Technological Solution
    (2022)
    López-Pimentel, Juan Carlos  
    ;
    Alcaraz Rivera, Miguel  
    ;
    Rafael Granillo-Macías
    ;
    Olivares-Benitez, Elias  
    <jats:p>Currently, the Mexican avocado supply chain has some social limitations that make the traceability process a difficult task and severely limits the regions that can add their harvest to the international market. We hypothesize that modernizing the traceability process and improving the trust of the final user could help in opening the market to other regions. This paper describes the Mexican avocado supply chain characteristics, identifies the actors involved in the supply chain, and emphasizes the problems that the current actors have when exporting them to the US market. On this basis, we propose a technological solution system to automate the traceability process. The system was designed to comply with the authority and consumer requirements. It proposes a combination of the benefits of traditional data traceability using Microservices architecture with a new layer of Blockchain auditing that will add value to current and new actors in every step of the supply chain. We contribute by proposing a model that adds value to the avocado supply chain with the following characteristics: Integrity, auditing service, dual traceability, transparency, and a front-end application with trust user-oriented. Our proofs demonstrate that the blockchain layer does not represent a considered high extra transaction cost; it could be regarded as despicable for the economy of the consumer considering costs and benefits.</jats:p>
      1  8Scopus© Citations 15
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    NFT-Vehicle: A Blockchain-Based Tokenization Architecture to Register Transactions over a Vehicle’s Life Cycle
    (2023)
    López-Pimentel, Juan Carlos  
    ;
    Luis Alberto Morales-Rosales
    ;
    Ignacio Algredo-Badillo
    ;
    Del-Valle-Soto, Carolina  
    <jats:p>The sale of second-hand vehicles is a popular trade worldwide, and vehicle fraud is currently a common issue, mainly because buyers can lack a complete view of the historical transactions related to their new acquisition. This work presents a distributed architecture for stakeholders to register transactions over a vehicle’s life cycle in a blockchain network. The architecture involves a non-fungible token (NFT) linked to a physical motorized vehicle after a tokenization process, which denote as the NFT-Vehicle. The NFT-Vehicle is a hierarchical smart contract designed using an object-oriented paradigm and a modified version of the ERC721 standard. Every stakeholder engages with the NFT-Vehicle through distinct methods embedded within a smart contract. These methods represent internal protocols meticulously formulated and validated based on a finite-state machine (FSM) model. We implemented our design as a proof of concept using a platform based on Ethereum and a smart contract in the Solidity programming language. We carried out two types of proof: (a) validations, following the FSM model to ensure that the smart contract remained in a consistent state, and (b) proofs, to achieve certainty regarding the amount of ETH that could be spent in the life cycle of a vehicle. The results of the tests showed that the total transaction cost for each car throughout its life cycle did not represent an excessive cost considering the advantages that the system could offer to prevent fraud.</jats:p>
      2  18Scopus© Citations 16
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    ChainIDentity: Software architecture and implementation of the blockchain-based digital identity ecosystem
    (Elsevier BV, 2026-09)
    Magaña Avalos, Brandon Mitzrael
    ;
    López-Pimentel, Juan Carlos  
    ;
    Morales-Rosales, Luis Alberto
    ;
    Gonzalez-Sanchez, Javier
    ;
    Del-Puerto-Flores, J. Alberto  
      2
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    A Transformer-Based Multi-Task Learning Model for Vehicle Traffic Surveillance
    (MDPI AG, 2025-11-29)
    Fernando Hermosillo-Reynoso
    ;
    López-Pimentel, Juan Carlos  
    ;
    Erica Ruiz-Ibarra
    ;
    Armando García-Berumen
    ;
    Del-Puerto-Flores, J. Alberto  
    Vehicle traffic surveillance (VTS) systems are based on the automatic analysis of video sequences to detect, classify, and track vehicles in urban environments. The design of new VTS systems requires computationally efficient architectures with high performance in accuracy. Conventional approaches based on multi-stage pipelines have been successfully used during the last decade. However, these systems need to be improved to face the challenges of complex, high-mobility traffic environments. This article proposes an efficient system based on transformer architectures for VTS channels. The proposed analysis system is evaluated in scenarios with high vehicle density and occlusions. The results demonstrate that the proposed scheme reduces the computational complexity required for multi-object detection and tracking and exhibits a Multiple Object Tracking Accuracy (MOTA) of 0.757 and an identity F1 score (IDF1) of 0.832 when compared to conventional multi-stage systems under the same conditions and parameters, along with achieving a high detection precision of 0.934. The results show the viability of implementing the proposed system in practical applications for high-density vehicle VTS channels.
      35
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    A Comprehensive Review of Behavior Change Techniques in Wearables and IoT: Implications for Health and Well-Being
    (2024)
    Del-Valle-Soto, Carolina  
    ;
    López-Pimentel, Juan Carlos  
    ;
    Vázquez Castillo, Javier
    ;
    Nolazco Flores, Juan Arturo
    ;
    Velázquez, Ramiro  
    <jats:p>This research paper delves into the effectiveness and impact of behavior change techniques fostered by information technologies, particularly wearables and Internet of Things (IoT) devices, within the realms of engineering and computer science. By conducting a comprehensive review of the relevant literature sourced from the Scopus database, this study aims to elucidate the mechanisms and strategies employed by these technologies to facilitate behavior change and their potential benefits to individuals and society. Through statistical measurements and related works, our work explores the trends over a span of two decades, from 2000 to 2023, to understand the evolving landscape of behavior change techniques in wearable and IoT technologies. A specific focus is placed on a case study examining the application of behavior change techniques (BCTs) for monitoring vital signs using wearables, underscoring the relevance and urgency of further investigation in this critical intersection of technology and human behavior. The findings shed light on the promising role of wearables and IoT devices for promoting positive behavior modifications and improving individuals’ overall well-being and highlighting the need for continued research and development in this area to harness the full potential of technology for societal benefit.</jats:p>
    Scopus© Citations 2  26