Pub Date : 2025-10-07DOI: 10.1109/TLA.2025.11195785
Luís Eduardo Mena Barreto Pereira;Lahis Gomes de Almeida;Luca Quiriconi;S´ergio Abreu;André Luiz Printes;Israel Gondres Torné
The rapid expansion of the Internet of Things (IoT) requires communication protocols capable of supporting long-range connectivity, low power consumption, and robustness against urban interference. LoRaWAN has emerged as a promising Low Power Wide Area Network (LPWAN) technology, but most existing studies have evaluated its performance in controlled or rural environments. This work investigates the coverage and performance of a private LoRaWAN network deployed in Manaus, Brazil, focusing on urban conditions where reflections, obstacles, and multipath phenomena significantly affect communication. The methodology consisted of conducting four testbeds across different city regions using a mobile end device equipped with a LoRa transceiver (RAK3172) configured with AU915 MHz, Adaptive Data Rate, and periodic message transmission intervals of 10 seconds and 1 minute. Messages containing geolocation and timestamps were sent to 11 gateways distributed throughout the city, with data collected and analyzed in terms of signal quality (RSSI, SNR) and network performance (Packet Delivery Ratio PDR). The experimental results demonstrated RSSI values mostly between 100 and 120 dBm, remaining within the operational limits of LoRaWAN, although strongly affected by environmental noise and non-line-of-sight conditions. SNR values varied from 19.8 to +13.3 dB, reflecting interference and mobility impacts.
{"title":"Coverage and Performance Analysis of a Private LoRaWAN Network Deployed in Urban Areas","authors":"Luís Eduardo Mena Barreto Pereira;Lahis Gomes de Almeida;Luca Quiriconi;S´ergio Abreu;André Luiz Printes;Israel Gondres Torné","doi":"10.1109/TLA.2025.11195785","DOIUrl":"https://doi.org/10.1109/TLA.2025.11195785","url":null,"abstract":"The rapid expansion of the Internet of Things (IoT) requires communication protocols capable of supporting long-range connectivity, low power consumption, and robustness against urban interference. LoRaWAN has emerged as a promising Low Power Wide Area Network (LPWAN) technology, but most existing studies have evaluated its performance in controlled or rural environments. This work investigates the coverage and performance of a private LoRaWAN network deployed in Manaus, Brazil, focusing on urban conditions where reflections, obstacles, and multipath phenomena significantly affect communication. The methodology consisted of conducting four testbeds across different city regions using a mobile end device equipped with a LoRa transceiver (RAK3172) configured with AU915 MHz, Adaptive Data Rate, and periodic message transmission intervals of 10 seconds and 1 minute. Messages containing geolocation and timestamps were sent to 11 gateways distributed throughout the city, with data collected and analyzed in terms of signal quality (RSSI, SNR) and network performance (Packet Delivery Ratio PDR). The experimental results demonstrated RSSI values mostly between 100 and 120 dBm, remaining within the operational limits of LoRaWAN, although strongly affected by environmental noise and non-line-of-sight conditions. SNR values varied from 19.8 to +13.3 dB, reflecting interference and mobility impacts.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"1090-1098"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11195785","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.1109/TLA.2025.11195167
Eric Ramos-Aguilar;J. Arturo Olvera-Lopez;Ivan Olmos-Pineda;Ricardo Ramos-Aguilar
The application of digital signal processing techniques and machine learning, along with implicit segmentation, poses a challenge in the study of phonetic segmentation of indigenous languages in Mexico, given their linguistic and phonetic diversity. The analysis of Mel-scaled spectrograms offers an effective approach to identify patterns that can outline relevant information. By comparing the results with the actual number of phonemes in a word, both successes and areas for improvement can be observed. This article proposes a methodology for automatic segmental analysis of the Yuhmu language, considering parameter search in the Mel scale and implementing the cosine distance between spectrogram vectors. Additionally, relevant data within the resulting matrices are taken into account based on four key thresholds in information selection. The analysis yields a Segment Error Rate (SER) ranging from 38.79% to 41.35%, which aligns with the results reported in the literature on the subject.
{"title":"Automatic Phonetic Segmentation of the Yuhmu Language Using Mel Scale Spectral Parameters","authors":"Eric Ramos-Aguilar;J. Arturo Olvera-Lopez;Ivan Olmos-Pineda;Ricardo Ramos-Aguilar","doi":"10.1109/TLA.2025.11195167","DOIUrl":"https://doi.org/10.1109/TLA.2025.11195167","url":null,"abstract":"The application of digital signal processing techniques and machine learning, along with implicit segmentation, poses a challenge in the study of phonetic segmentation of indigenous languages in Mexico, given their linguistic and phonetic diversity. The analysis of Mel-scaled spectrograms offers an effective approach to identify patterns that can outline relevant information. By comparing the results with the actual number of phonemes in a word, both successes and areas for improvement can be observed. This article proposes a methodology for automatic segmental analysis of the Yuhmu language, considering parameter search in the Mel scale and implementing the cosine distance between spectrogram vectors. Additionally, relevant data within the resulting matrices are taken into account based on four key thresholds in information selection. The analysis yields a Segment Error Rate (SER) ranging from 38.79% to 41.35%, which aligns with the results reported in the literature on the subject.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"950-959"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11195167","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236698","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-10-07DOI: 10.1109/TLA.2025.11194777
Juan Felipe Solarte;Carlos Gaviria
Power grip is one of the fundamental functionalities of a robotic hand prosthesis, as it is essential for performing various activities of daily living. This study proposes the use of the average electrical power consumed by the actuators as a variable correlated with grip force in mechanisms with an effective degree of freedom equal to one. This approach enables the implementation of closed-loop grip force control schemes without the need for force sensors. To evaluate the performance of the proposed method, a five-finger underactuated robotic hand prototype was developed, along with a cascade control scheme to track an average power reference. The system was implemented in the Simulink environment of Matlab, using an Arduino Mega 2560 board for signal acquisition and actuator control. The powerforce relationship was validated using a variable stiffness device, in accordance with recommendations from a standardized protocol for evaluating the quality of robotic hand prostheses. The results show that average electrical power exhibits a stronger correlation with grip force than electric current, which has been used for similar purposes in previous studies. This work addresses the challenge of controlling grip force without force sensors, introducing a variable that has not been previously exploited for this purpose
动力握把是机械手假肢的基本功能之一，它是完成各种日常生活活动所必需的。本研究建议使用执行器消耗的平均电功率作为有效自由度等于1的机构中与握力相关的变量。这种方法可以实现闭环握持力控制方案，而不需要力传感器。为了评估该方法的性能，开发了一个五指欠驱动机器人手原型，并采用串级控制方案跟踪平均功率参考。该系统在Matlab的Simulink环境下实现，采用Arduino Mega 2560板进行信号采集和执行器控制。采用可变刚度装置验证了力-力关系，并按照评估机械手假体质量的标准化方案进行了验证。结果表明，平均电功率比电流与握力的相关性更强，而电流在以前的研究中也被用于类似的目的。这项工作解决了在没有力传感器的情况下控制握力的挑战，引入了一个以前未被用于此目的的变量
{"title":"Average Power as an Alternative Variable for Power grip Control in Robotic Hands Without Using Force Measurements","authors":"Juan Felipe Solarte;Carlos Gaviria","doi":"10.1109/TLA.2025.11194777","DOIUrl":"https://doi.org/10.1109/TLA.2025.11194777","url":null,"abstract":"Power grip is one of the fundamental functionalities of a robotic hand prosthesis, as it is essential for performing various activities of daily living. This study proposes the use of the average electrical power consumed by the actuators as a variable correlated with grip force in mechanisms with an effective degree of freedom equal to one. This approach enables the implementation of closed-loop grip force control schemes without the need for force sensors. To evaluate the performance of the proposed method, a five-finger underactuated robotic hand prototype was developed, along with a cascade control scheme to track an average power reference. The system was implemented in the Simulink environment of Matlab, using an Arduino Mega 2560 board for signal acquisition and actuator control. The powerforce relationship was validated using a variable stiffness device, in accordance with recommendations from a standardized protocol for evaluating the quality of robotic hand prostheses. The results show that average electrical power exhibits a stronger correlation with grip force than electric current, which has been used for similar purposes in previous studies. This work addresses the challenge of controlling grip force without force sensors, introducing a variable that has not been previously exploited for this purpose","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 11","pages":"1121-1130"},"PeriodicalIF":1.3,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11194777","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145236652","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-04DOI: 10.1109/TLA.2025.11150605
Felipe Rubio;Juan M. Rey;Julian Rodriguez-Ferreira;Natalia Duarte;Iván Hernández
Industry 4.0 has progressed rapidly due to advances in the Internet of Things (IoT), which have significantly reduced implementation costs while enhancing technological capabilities. These developments have fostered the emergence of the Industrial Internet of Things (IIoT), particularly within scientific and industrial domains. In response to the growing demand for skilled professionals in this field, this paper presents the design and implementation of an IIoT-based monitoring system for the CASIRI radio astronomy station, a mobile platform used to characterize potential sites for radio observatories in Colombia and Antarctica. The proposed system is integrated into a broader IIoT platform designed to support both operational monitoring and educational activities. The IIoT solution features real-time data acquisition, robust hardware and software components, and reliable communication protocols within a modular and scalable architecture. Its performance and component interoperability were validated through a series of experimental tests under simulated conditions. Additionally, this work introduces educational guides to facilitate hands-on training in Fourth Industrial Revolution technologies.
{"title":"Design and Implementation of an IIoT-based Monitoring System for a Remote Radio Astronomy Station: The CASIRI Case Study","authors":"Felipe Rubio;Juan M. Rey;Julian Rodriguez-Ferreira;Natalia Duarte;Iván Hernández","doi":"10.1109/TLA.2025.11150605","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150605","url":null,"abstract":"Industry 4.0 has progressed rapidly due to advances in the Internet of Things (IoT), which have significantly reduced implementation costs while enhancing technological capabilities. These developments have fostered the emergence of the Industrial Internet of Things (IIoT), particularly within scientific and industrial domains. In response to the growing demand for skilled professionals in this field, this paper presents the design and implementation of an IIoT-based monitoring system for the CASIRI radio astronomy station, a mobile platform used to characterize potential sites for radio observatories in Colombia and Antarctica. The proposed system is integrated into a broader IIoT platform designed to support both operational monitoring and educational activities. The IIoT solution features real-time data acquisition, robust hardware and software components, and reliable communication protocols within a modular and scalable architecture. Its performance and component interoperability were validated through a series of experimental tests under simulated conditions. Additionally, this work introduces educational guides to facilitate hands-on training in Fourth Industrial Revolution technologies.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"865-876"},"PeriodicalIF":1.3,"publicationDate":"2025-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150605","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144990184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-03DOI: 10.1109/TLA.2025.11150632
Ganesh Babu Mattaparthi;Srinivasa Rao Nayak P
The increasing demand for efficient and sustainable electric vehicle (EV) charging solutions has driven the development of advanced multi-input charger systems. This paper introduces a closed-loop EV charger powered by dual energy inputs, i.e., wireless power transfer (WPT) and photovoltaic (PV) sources. The dual-input charger integrates these energy sources to ensure stable and efficient constant voltage battery charging. The output voltage is continuously compared with the required EV battery charging voltage and regulated using a proportional-integral (PI) controller. To address the nonlinear and dynamic characteristics of the input sources, a novel Hybrid GEO-PO optimization algorithm, which combines the strengths of the Golden Eagle Optimizer (GEO) and the Puma Optimizer (PO), is proposed to determine the optimal PI controller parameters. MATLAB/Simulink simulations and experimental validation demonstrate that the Hybrid GEO-PO algorithm outperforms its parent algorithms in regulating EV battery charging voltage. The hybrid algorithm achieves faster response times, lower overshoot, and enhanced robustness compared to the standalone GEO and PO algorithms. Additionally, the successful implementation of the system using an FPGA controller highlights its practicality and suitability for real-world applications. This study establishes the Hybrid GEO-PO algorithm as a superior and promising approach for optimizing dual-input EV chargers, paving the way for next-generation intelligent charging infrastructure.
{"title":"Hybrid GEO-PO Algorithm for Dual-Input Wireless Power Transfer and Photovoltaic-Fed DC-DC Converter in Electric Vehicle Charging Applications","authors":"Ganesh Babu Mattaparthi;Srinivasa Rao Nayak P","doi":"10.1109/TLA.2025.11150632","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150632","url":null,"abstract":"The increasing demand for efficient and sustainable electric vehicle (EV) charging solutions has driven the development of advanced multi-input charger systems. This paper introduces a closed-loop EV charger powered by dual energy inputs, i.e., wireless power transfer (WPT) and photovoltaic (PV) sources. The dual-input charger integrates these energy sources to ensure stable and efficient constant voltage battery charging. The output voltage is continuously compared with the required EV battery charging voltage and regulated using a proportional-integral (PI) controller. To address the nonlinear and dynamic characteristics of the input sources, a novel Hybrid GEO-PO optimization algorithm, which combines the strengths of the Golden Eagle Optimizer (GEO) and the Puma Optimizer (PO), is proposed to determine the optimal PI controller parameters. MATLAB/Simulink simulations and experimental validation demonstrate that the Hybrid GEO-PO algorithm outperforms its parent algorithms in regulating EV battery charging voltage. The hybrid algorithm achieves faster response times, lower overshoot, and enhanced robustness compared to the standalone GEO and PO algorithms. Additionally, the successful implementation of the system using an FPGA controller highlights its practicality and suitability for real-world applications. This study establishes the Hybrid GEO-PO algorithm as a superior and promising approach for optimizing dual-input EV chargers, paving the way for next-generation intelligent charging infrastructure.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"888-900"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150632","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In evaluating and validating a physical system, real-time Hardware in the Loop (HIL) emulation offers advantages such as time and cost reduction, fault prevention, and the ability to conduct validations in an environment similar to its final application. On the other hand, low-cost technologies such as microcontrollers, digital signal processors, and FPGAs have been employed to leverage the advantages of HIL emulation in the teaching process. This article describes the implementation of a low-cost, open-access HIL didactic platform for use in subjects such as differential equations, systems dynamics, and control systems, among others. The platform is based on a Raspberry Pi Pico development board and features a graphical user interface (GUI). In the GUI, the user can visualize graphs of the emulated systems variables and real-time animation of its state and export the acquired data to a comma-separated file. The functionalities offered by the platform make it an affordable tool that allows users to evaluate the response of a dynamic system, whether it is open-loop or closed-loop, without the need for classrooms or specialized equipment. Unlike similar works where HIL techniques with low-cost hardware are employed for educational purposes, the proposal in this work is more cost-effective and integrates the described GUI. All the files necessary for implementing the didactic platform are openly available in a public repository, including those needed for PCB manufacturing.
在评估和验证物理系统时，实时硬件在环路（HIL）仿真提供了一些优势，例如减少时间和成本、防止故障，以及在与其最终应用程序相似的环境中执行验证的能力。另一方面，低成本技术如微控制器、数字信号处理器和fpga已被用于在教学过程中利用HIL仿真的优势。本文描述了一个低成本、开放访问的HIL教学平台的实现，该平台用于诸如微分方程、系统动力学和控制系统等学科。该平台基于Raspberry Pi Pico开发板，并具有图形用户界面（GUI）。在GUI中，用户可以可视化模拟系统变量的图形和其状态的实时动画，并将获取的数据导出到逗号分隔的文件中。该平台提供的功能使其成为一种经济实惠的工具，允许用户评估动态系统的响应，无论是开环还是闭环，而不需要教室或专门的设备。与使用低成本硬件的HIL技术用于教育目的的类似工作不同，本工作中的建议更具成本效益并集成了所描述的GUI。实现教学平台所需的所有文件都可以在公共存储库中公开获得，包括PCB制造所需的文件。
{"title":"Didactic Hardware in the Loop Platform: A Low-Cost Open-Source Approach","authors":"Shadai Ojeda-Mancera;Jesus Carranco-Martínez;Víctor Sámano-Ortega;Juan Martínez-Nolasco;Coral Martínez-Nolasco;Mauro Santoyo-Mora","doi":"10.1109/TLA.2025.11150634","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150634","url":null,"abstract":"In evaluating and validating a physical system, real-time Hardware in the Loop (HIL) emulation offers advantages such as time and cost reduction, fault prevention, and the ability to conduct validations in an environment similar to its final application. On the other hand, low-cost technologies such as microcontrollers, digital signal processors, and FPGAs have been employed to leverage the advantages of HIL emulation in the teaching process. This article describes the implementation of a low-cost, open-access HIL didactic platform for use in subjects such as differential equations, systems dynamics, and control systems, among others. The platform is based on a Raspberry Pi Pico development board and features a graphical user interface (GUI). In the GUI, the user can visualize graphs of the emulated systems variables and real-time animation of its state and export the acquired data to a comma-separated file. The functionalities offered by the platform make it an affordable tool that allows users to evaluate the response of a dynamic system, whether it is open-loop or closed-loop, without the need for classrooms or specialized equipment. Unlike similar works where HIL techniques with low-cost hardware are employed for educational purposes, the proposal in this work is more cost-effective and integrates the described GUI. All the files necessary for implementing the didactic platform are openly available in a public repository, including those needed for PCB manufacturing.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"910-921"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150634","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934420","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Photovoltaic systems must be highly efficient to transfer the electric power generated to the local loads or to the electrical grid. In partial-shading conditions there are multiple local maximum power points which are not evaluated by conventional MPPT methods producing low efficiency in the photovoltaic system. In this paper a hybrid Particle Swarm Optimization (PSO) based method is proposed. The proposed method allows to locate the global maximum power point enhancing the availability of the generated electrical power and reducing the convergence time compared to the conventional PSO algorithm. The proposed method is compared with classical MPPT algorithms like Hill Climbing (HC), perturb and observe (P and O), incremental conductance (IncCond) and the conventional particle swarm optimization (PSO) method. The comparison is performed by means of numerical simulations and implementing an experimental platform with real photovoltaic panels.
{"title":"Design and validation of a hybrid MPPT algorithm for PVS using an interleaved boost converter","authors":"Luis Enrique Hernandez Aguilar;Gerardo Vazquez Guzman;Panfilo Raymundo Martinez Rodriguez;Dalyndha Aztatzi Pluma","doi":"10.1109/TLA.2025.11150626","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150626","url":null,"abstract":"Photovoltaic systems must be highly efficient to transfer the electric power generated to the local loads or to the electrical grid. In partial-shading conditions there are multiple local maximum power points which are not evaluated by conventional MPPT methods producing low efficiency in the photovoltaic system. In this paper a hybrid Particle Swarm Optimization (PSO) based method is proposed. The proposed method allows to locate the global maximum power point enhancing the availability of the generated electrical power and reducing the convergence time compared to the conventional PSO algorithm. The proposed method is compared with classical MPPT algorithms like Hill Climbing (HC), perturb and observe (P and O), incremental conductance (IncCond) and the conventional particle swarm optimization (PSO) method. The comparison is performed by means of numerical simulations and implementing an experimental platform with real photovoltaic panels.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"901-909"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150626","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934469","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-03DOI: 10.1109/TLA.2025.11150631
Jorge Ceron;Cristian Tinipuclla;Pedro Shiguihara
In recent years, videos have been susceptible not only to any edition but also to a variety of forgeries. One of the most popular video forgeries is frame deletion, in which a group of frames is removed to hide specific actions from the human eye. When frame deletion occurs, videos selected as evidence lose their evidentiary value. This highlights the necessity of automation, especially for analyzing large volumes of videos. Thus, we measure the performance of two deep learning approaches for frame deletion detection. Both of them use Convolutional Neural Networks (CNN): The first one, a supervised 3DCNN model and, the second one, is an unsupervised model compound of VGG-16 and Resnet-50. We evaluated them using 10-fold cross-validation in the following datasets: UCF-101, VIFFD and DTD (Driving Test Dataset), which is our contribution to the data community. To the best of our knowledge, no comparison of both approaches using 10-fold cross-validation has been found in the literature before. Afterward, we analyze the results and make recommendations for future work in this area.
{"title":"Detecting Frame Deletion in Videos Using Supervised and Unsupervised Learning with Convolutional Neural Networks","authors":"Jorge Ceron;Cristian Tinipuclla;Pedro Shiguihara","doi":"10.1109/TLA.2025.11150631","DOIUrl":"https://doi.org/10.1109/TLA.2025.11150631","url":null,"abstract":"In recent years, videos have been susceptible not only to any edition but also to a variety of forgeries. One of the most popular video forgeries is frame deletion, in which a group of frames is removed to hide specific actions from the human eye. When frame deletion occurs, videos selected as evidence lose their evidentiary value. This highlights the necessity of automation, especially for analyzing large volumes of videos. Thus, we measure the performance of two deep learning approaches for frame deletion detection. Both of them use Convolutional Neural Networks (CNN): The first one, a supervised 3DCNN model and, the second one, is an unsupervised model compound of VGG-16 and Resnet-50. We evaluated them using 10-fold cross-validation in the following datasets: UCF-101, VIFFD and DTD (Driving Test Dataset), which is our contribution to the data community. To the best of our knowledge, no comparison of both approaches using 10-fold cross-validation has been found in the literature before. Afterward, we analyze the results and make recommendations for future work in this area.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 10","pages":"838-847"},"PeriodicalIF":1.3,"publicationDate":"2025-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11150631","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144934488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-09-03DOI: 10.1109/TLA.2025.11150628
Over Mejia;Ronald Ceballos;Rhonald Torres;Juan Hoyos
In the context of autonomous navigation, the development of systems that enable vehicles to operate independently in controlled environments is a crucial step toward advancing autonomous technology. This work presents the design, implementation, and validation of a navigation system for autonomous vehicles using NeuroEvolution of Augmenting Topologies (NEAT). The primary objective was to create a vehicle capable of navigating a 2D map with a defined starting point and target. Virtual sensors enable the vehicle to identify navigable paths and boundaries. Distance metrics such as Euclidean, Manhattan, and Chebyshev were employed as reward systems, continuously calculating agent positions. The closer the vehicle is to the target, the higher its fitness score, forming the basis of the fitness function. A forced reinforcement acceleration method was designed and implemented to ensure progress when the vehicle's speed fell below 0.1, preventing it from becoming stalled. Validation tests were conducted to evaluate the system's performance under varying conditions. Results demonstrate that the autonomous vehicle can navigate the map effectively, improving its fitness score in each generation depending on the distance metric used. Chebyshev performed best in obstacle-free environments, while Euclidean excelled in the presence of obstacles. The forced reinforcement method significantly reduced the time required to achieve the target fitness. These findings provide valuable insights for researchers aiming to develop NEAT-based navigation systems for autonomous vehicles.
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Pub Date : 2025-09-03DOI: 10.1109/TLA.2025.11150604
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