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Time-series failure prediction on small datasets using machine learning IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-04-15 Caio Souto Maior, Thaylon Silva
Condition-based maintenance is a decision-making strategy using condition monitoring information to optimize the availability of operational plants. In this context, machine learning techniques are useful and have been used in predicting the remaining useful life (RUL) of equipment to ensure the overall safety and reliability of the system through maintenance policies and, consequently, reducing costs
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Evaluating the 2PC Algorithm for the Maintenance of P2P Live Streaming IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-04-15 Adriel C. dos Santos, Iago A. Carvalho, Cristiano M. Silva, Eliseu C. Miguel
Peer-to-Peer (P2P) Networks for live streaming face challenges such as ensuring low latency and low discontinuity in media transmission among peers. Algorithms for constructing and maintaining the overlay are often proposed to address several of these challenges. However, it is common to find works that present positive results from the execution of these algorithms without showing the overlay structure
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Mangrove semantic segmentation on aerial images IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-04-15 Jose Anibal Arias-Aguilar, Efrén López-Jimenez, Oscar D. Ramírez-Cárdenas, J. Carlos Herrera-Lozada, Nidiyare Hevia-Montiel
In the Yucatan Peninsula, there is a rich diversity of mangroves, notably including Rhizophora mangle, Avicennia germinans, and Laguncularia racemosa. These mangroves contribute to the recovery of degraded natural areas caused by human activities. Additionally, they serve as natural habitats for various animal and plant species. Studies have highlighted the significance of preserving and restoring
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Technique to Generate Depth Maps from Real Scenes without Manual Calibration IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-04-15 Ricardo S. Casado, Carlos W. Carvalho, Marcio M. Fernandes, Emerson C. Pedrino
This paper proposes a technique for the generation of a disparity map from a real scene, captured by a stereo vision system. The underlying motivation for this work is to develop a system not requiring the use of a calibration pattern, which usually involves manual intervention. This is a well desired feature to allow its use in the design of aid devices for people with severe visual impairment or
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switch placement algorithm to reduce the impact of distribution network maintenance in continuity indexes IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-04-15 Armando Leopoldo Keller, Rodrigo Figueiredo, Sandro José Rigo
The main objective of power distribution utilities is to provide power to their consumers with the smallest number and duration of interruptions, which is why they are evaluated by continuity indexes such as SAIDI and SAIFI. Sometimes, interruptions are needed to expand the network or for maintenance operations. This paper proposes an innovative method to evaluate the best place to install switches
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Parameter Extraction of Two Diode Photovoltaic Model Using An Analytical Approach IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-04-15 Abdul Mujeer Syed, Sailaja Kumari Matam, Chandrasekhar Yammani, Sreekantha Reddy Sathigari
In this study, a Two-Diode Model (TDM) is implemented for Photovoltaic (PV) modules to accurately derive PV parameters. A noteworthy contribution of this work is the introduction of a simplified current equation, necessitating the estimation of only seven parameters. Additionally, we present an effective modeling approach for the PV module based on the TDM. The extraction of TDM parameters is accomplished
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Performance study of a photovoltaic system operating on the southeastern coast of Brazil IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-04-15 Júlia de Oliveira Gonzalez, Fernando Ramos Martins
The photovoltaic (PV) solar energy generation sector is expanding fast and achieved 23.9 GW of installed power in Brazil in the first months of 2023 (occupying the 2nd place in installed capacity in the Brazilian electricity mix). Such a scenario makes PV power generation a resource for regional development and socioeconomic opportunities for metropolitan regions with a high national economy share
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A Proposal of an ECC-based Adaptive Fault-Tolerant Mechanism for 16-bit data words IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-04-15 Joaquín Gracia-Morán, Luis-J. Saiz-Adalid, J.-Carlos Baraza-Calvo, Daniel Gil-Tomas, Pedro-J. Gil-Vicente
With the integration scale level reached in CMOS technology, memory systems provide a great storage capacity, but at the price of an augment in their fault rate. In this way, the probability of experiencing Single Cell Upsets or Multiple Cell Upsets have risen. Error Correction Codes (ECC) are broadly employed to protect memory systems. Though, the inclusion of an ECC in a computer system adds, in
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Evaluation of an AGC for a Solar Panel as a Receiver in a VLC System Applied to Access Control IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-04-15 Simon Valencia Lozano, Roger Alexander Martínez Ciro, Francisco Eugenio López Giraldo
Visible light communication (VLC) technology allows data to be transmitted using the optical power emitted by light-emitting diodes (LEDs). The optical receiver usually employs light sensors such as photodiodes, image sensors, photoresistors or solar panel. In the last decades, VLC technology has explored the use of solar panels as data receivers, since they offer the service of power generation, in
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Event-triggered Controlled Charger for Lithium Battery Packs IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-04-15 Javier Blanco Rico, Basil Mohammed Al-Hadithi
Event-triggered Control is a modification for digital based control systems that has gain popularity in recent years. This alteration in control algorithms offers advantages like reductions in computation times or even in the requirements of system's hardware bay reducing its processing and communications to the minimum required; allowing for less computation and communication time needed to perform
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Lightweight Real-Time Object Detection via Enhanced Global Perception and Intra-Layer Interaction for Complex Traffic Scenarios IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-18 ben liang, Jia Su, Kangkang Feng, Yongqiang Zhang, Weimin Hou
Due to unfavorable factors such as cluttered spatial and temporal distribution of multiple types of targets, occlusion of background objects of different shapes, and blurring of feature information by inclement weather, the low detection accuracy in complex traffic scenarios has been a troubling issue. Regarding the above-mentioned issues, the paper proposes a lightweight real-time detection network
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APNet: Accurate Positioning Deformable Convolution for UAV Image Object Detection IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Peiran Zhang, Guoxin Zhang, Kuihe Yang
Unmanned aerial vehicle (UAV) image object detection, in recent years, has been receiving increasing attention for its wide application in military and civil fields. Current object detection methods perform well in generic scenarios, while vast small objects and extremely dense distribution in UAV images make it difficult to capture them, resulting in sub-optimal performance. In this paper, we propose
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A fingerprint location framework for uneven WiFi signals based on machine learning IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Xu Lu, Kejie Zhong, Zhiwei Guan, Jun Liu
WiFi fingerprint positioning is a common method for indoor location determination. Existing methods are susceptible to fluctuations in WiFi signal strength during the offline phase, leading to unevenly received signals. Additionally, during online positioning, there is a lack of integration with historical trajectory information. These problems can result in errors in both offline fingerprint acquisition
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Biomedical engineering research in Chilean universities - A bibliometric analysis IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Javiera Vásquez-Salgado, Rosa L. Figueroa, Julio Sotelo, Manuel Villalobos-Cid
Biomedical engineering (BME) combines engineering, biology, and medicine to develop innovative healthcare solutions. There is an increasing demand for BME professionals following technological and scientific advances. In Chile, only three universities offer undergraduate BME programs: Universidad de Valparaiso, Universidad de Concepcion, and Universidad de Santiago de Chile. Each institution has defined
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An Audio Encryption Scheme Based on Empirical Mode Decomposition and 2D Cosine Logistic Map IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Alenrex Maity, Bibhas Chandra Dhara
In this work, we have proposed an audio encryption method. The proposed method is audio signal sensitive as the hash value of the given signal is computed using SHA3-512, which returns a significantly large key of size 512-bit. This key is used to set the different parameters. This work suggests a 2D Cosine Logistic Map (2DCLM) by fusing the Cosine map with the Logistic map. The proposed 2DCLM functions
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Comparison of Modern Deep Neural Networks Architectures for Cross-section Segmentation in Images of Log Ends IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Felipe Nack, Marcelo Ricardo Stemmer, Maurício Edgar Stivanello
The semantic segmentation of log faces constitutes the initial step towards subsequent quality analyses of timber,such as quantifying properties like mechanical strength, durability, and the aesthetic attributes of growth rings. In the literature, works based on both classical and machine learning approaches for this purpose can be found. However, more recent architectures and techniques, such as ViTs
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Detection of violent speech against women in Mexican tweets using an active learning approach IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Grisel Miranda-Piña, Roberto Alejo, Eréndira Rendón-Lara, Vicente García
In Latin American and Caribbean States the verbal violence against women on social networks, such as Twitter, is a serious threat that has been addressed through the implementation of social norms, public policies, and social movements. Nevertheless, a challenge is the effective and automatic real-time detection of violent tweets. In this sense, traditional machine learning algorithms have been proposed
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Enhancing Axial Ratio Bandwidth of Dual Band Microstrip Patch Antenna for GSM Application IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Pooja Sahoo, Pramod K. Singhal, Karuna Markam
The paper objective is to designed circular polarized microstrip patch antenna and enhancing axial ratio bandwidth with improved impedance bandwidth. An antenna is designed using stacking method. The design of the antenna is achieved using two slots on the main radiating patch and one cross slot on the near field resonating parasitic patch (NFRP). The NFRP patch is positioned below the main radiating
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Development of a Smartphone Application and Chrome Extension to Detect Fake News in English and European Portuguese IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 Ricardo Afonso, João Rosas
In a digital society, the truth portrayed by information is crucial in promoting education, security, and evolution. However, fake news raises a significant concern in that regard. Although there has been a continuous effort in the fight against fake news, it is still a multifaceted challenge in constant change as the menace renovates itself. Thus, in our approach, several machine learning and deep
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Assessment of the Economic Viability of Low Power Wind Farms in Mexico IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-03-14 REYNALDO IRACHETA CORTEZ, Iridian Karime Angeles Pérez
In this paper, it is presented the methodology for assessing the economic viability of low-power wind farms in Mexico. The main expanses considered as input parameters in the economic model are the capital costs, the operation and maintenance costs and the financial costs. The annual energy production of the wind farm is another input parameter of the economic model that is calculated with the evaluation
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Computational Intelligence Methods Applied to the Fraud Detection of Electric Energy Consumers IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-22 B. de Araujo, H. de Almeida, F. de Mello
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Novelty detection algorithms to help identify abnormal activities in the daily lives of elderly people IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Anita Fernandes, Valderi Leithardt, Juan Francisco Santana
The populations life expectancy is increasing, and this scenario will bring challenges to be faced in the coming decades to provide healthy and inclusive aging. At this stage of life, several common health conditions, chronic illnesses, and disabilities affect the individuals physical and mental health and prevent him from carrying out Activities of Daily Living. In this context, this article presents
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A Comparison Study of Depth Map Estimation in Indoor Environments Using pix2pix and CycleGAN IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Ricardo Salvino Casado, Emerson Carlos Pedrino
This article presents a Deep Learning-based approach for comparing automatic depth map estimation in indoor environments, with the aim of using them in navigation aid systems for visually impaired individuals. Depth map estimation is a laborious process, as most high-precision systems consist of complex stereo vision systems. The methodology utilizes Generative Adversarial Networks (GANs) techniques
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Assessing Human Settlement Sprawl in Mexico via Remote Sensing and Deep Learning IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Antonio Briseño Montes, Joaquin Salas, Elio Atenogenes Villaseñor Garcia, Ranyart Rodrigo Suarez, Danielle Wood
Understanding human settlements' geographic location and extent can support decision-making in resource distribution, urban growth policies, and natural resource protection. This research presents an approach to assess human settlement sprawl using labeled multispectral satellite image patches and Convolutional Neural Networks (CNN). By training deep learning classifiers with a dataset of 5,359,442
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Time frequency distribution and deep neural network for automated identification of insomnia using single channel EEG-signals IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Kamlesh Kumar, Prince Kumar, Ruchit Kumar Patel, Manish Sharma, Varun Bajaj, U Rajendra Acharya
It is essential to have enough sleep for a healthy life; otherwise, it may lead to sleep disorders such as apnea, narcolepsy, insomnia, and periodic leg movements. A polysomnogram (PSG) is typically used to analyze sleep and identify different sleep disorders. This work proposes a novel convolutional neural network (CNN)-based technique for insomnia detection using single-channel electroencephalogram
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Automatic Modulation Classification for low-power IoT applications IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Yasmin R. Mondino-Llermanos, Graciela Corral-Briones
The Internet of Things (IoT) has swiftly become one of the most important technologies in recent years. Radio spectrum access represents a stern challenge for the IoT as a consequence of the increased use of connected devices. This is particularly true for IoT devices operating in the unlicensed band where the huge demand for wireless connectivity will require techniques that use the spectrum efficiently
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Fractional-Order Control for Voltage Regulation in Bidirectional Converters: An Experimental Study IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Juan Gerardo Parada-Salado, Luis M. Martinez-Patiño, Francisco J. Pérez-Pinal, Allan G. Soriano-Sánchez, Alejandro I. Barranco-Gutiérrez, Carina Zarate-Orduño
The theoretical application of fractional equations in controller development is not a new topic. The first efforts on this topic were reported in the late 1970s. However, in the last four years, a greater number of papers related to fractional control have been published than the one accumulated in previous years. Motivated by the above, this paper reports the step-by-step development of this type
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An Isolation Transformer-less Single DC Source fed Dual 5-leg Inverter Controlled 5-Phase Induction Motor with Modified Direct Torque Control IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Venkata Subba Reddy Chagam, Swati Devabhaktuni
A modified hysteresis torque controller is introduced into the direct torque control scheme of a 5-phase open-end winding induction motor, aimed at enhancing steady-state performance by minimizing torque, flux ripple, and current total harmonic distortion (%THD) with the dual 5-leg inverter configuration. The proposed Direct Torque Control (DTC) strategy utilizes a common DC source for both converters
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Evaluation of Solar Panel Bandwidth for RGB Channels in Visible Light Communication IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Roger Martinez, Francisco Eugenio Lopez Giraldo, Jose Martin Luna Rivera, Juan David Navarro Restrepo, Juan David Rojas Usuga
Visible light communication (VLC) is an emerging technology that uses white light-emitting diodes (LEDs) to transmit information and provide illumination simultaneously. Recently, solar panels have been proposed as optical detectors at the receiver to retrieve data from light signals. However, very few studies have addressed the behavior of the solar panel bandwidth at different wavelengths. In this
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Bioethanol production optimization by direct numerical methods and evolutionary algorithms IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Cecilia Fernández, Nadia Pantano, Carla Groff, Rocío Gil, Gustavo Scaglia
This paper develops a dynamic optimization methodology based on direct numerical methods, for the bioethanol fed-batch production from glucose and fructose as a substrate. The mathematical model that governs the process consists of six differential equations and is highly nonlinear. The proposed strategy uses the Fourier trigonometric basis and normalized orthogonal polynomials for substrate feeding
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Optimal Control and Grasping for a Robotic Hand with a Non-linked Double Tendon Arrangement IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-02-09 Erick J. Sánchez-Garnica, Liliam Rodríguez-Guerrero, Rocío Ortega-Palacios, Omar Jacobo Santos-Sánchez
After comparing different robotic hand projects, a problem is identified: when a finger has a degree of freedom, the hand is unable to grasp irregularly shaped objects. This article proposes a solution. The use of a non-linked doubletendon arrangement in the fingers allows them to have free movement; coupled with the use of Inertial Measurement Units to determine its position, ensures that, despite
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RA4Self-CPS: A Reference Architecture for Self-adaptive Cyber-Physical Systems IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Marcos Paulo de Oliveira Camargo, Gabriel dos Santos Pereira, Daniel Almeida, Leandro Apolinario Bento, William Fernande Dorante, Frank Jose Affonso
Cyber-Physical Systems (CPS) represent an evolution of embedded systems by the computational elements interacting with physical entities through a network. Self-adaptive Cyber-Physical Systems (Self-CPS) present specific features compared to traditional CPS because this type of system can deal with changes at runtime. In parallel, Reference Architectures (RA) enable reusable artifacts that aggregate
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Battery Allocation and SOC in Distribution Systems Considering Temperature Constraints IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Maria Elisa Fernandes Octaviano, Eduardo Mendes Loureiro, Leandro Ramos de Araujo, Debora Rosana Ribeiro Penido de Araujo
This paper proposes a method for allocating and controlling batteries' state of charge in unbalanced distribution systems. Restrictions related to the depth of discharges and the relation between the nominal and operating capacity of the battery in relation to the operating temperature are proposed. The proposed optimization set is a mixed integer nonlinear with temporal coupling, so the genetic algorithm
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Review of Bidirectional DC-DC Converters and Trends in Control Techniques for Applications in Electric Vehicles IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Erik Martinez-Vera, Pedro Banuelos-Sanchez
This paper comprehensively reviews bidirectional DC-DC converters and their control techniques for Electric Vehicle applications. A classification is proposed based on the three power ratings levels of the SAEJ1772 standard. Circuit topologies are compared based on power rating, switching frequency, static voltage gain, operating modes, number of components and power switch material. High switching-frequency
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Design and Comparative Analysis of THz Antenna through Machine Learning for 6G Connectivity IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Rachit Jain, Vandana Vikas Thakare, Pramod Kumar Singhal
The rise of sixth-generation (6G) technology has become increasingly necessary to meet the growing demand for high-speed internet and the continuous advancements in technology. The development of an optimal antenna design is crucial to attain the required performance and capabilities. Traditional electromagnetic modeling approaches for antenna design are, however, time-consuming and computationally
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Navigation of mobile robots using neural networks and genetic algorithms IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 David Abad Perez, Basil Mohammed Al-Hadithi, Victor Cadix Martin
The navigation of robots has been a subject of widespread interest over the last few decades. In the previous years, traditional methods based on mathematical equations were used, and there has been an evolution towards the use of methods based on artificial intelligence. Two of which have been used in this work: neural networks and genetic algorithms. Neural networks are used as a machine learning
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GeneConnector: Unlocking the full potential of Genbank metadata IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Samuel Galvao Elias, Debora Cervieri Guterres, Robert Weingart Barreto, Helson Mario Martins do Vale
Genbank currently stands as one of the most significant global repositories of genetic information. However, despite its vast quantity and diversity of data, a considerable portion of the existing records suffer from disjointed and often lacking metadata, failing to provide the necessary context of their acquisition. In light of this, we propose GeneConnector, a tool that harnesses shared information
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DyFusion: Cross-Attention 3D Object Detection with Dynamic Fusion IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Jiangfeng Bi, Haiyue Wei, Guoxin Zhang, Kuihe Yang, Ziying Song
In the realm of autonomous driving, LiDAR and camera sensors play an indispensable role, furnishing pivotal observational data for the critical task of precise 3D object detection. Existing fusion algorithms effectively utilize the complementary data from both sensors. However, these methods typically concatenate the raw point cloud data and pixel-level image features, unfortunately, a process that
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Dynamic Multimachine Modeling and Optimal Tuning of Automatic Generation Control IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Jose Enriquez, Jaime Cepeda, Oscar de Lima
This article describes the control scheme of an actual SCADA/EMS AGC (Automatic Generation Control) function and proposes a methodology for tuning the parameters of both generation units and AGC control systems. AGC tuning is split into two stages: unit control logic parameters and AGC system. In order to determine the optimal parameters, the application of a heuristic optimization algorithm, named
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Output Regulation for Descriptor Systems with High-Gain Observer Used as Exosystem for Unmodeled References IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Tonatiuh Hernandez-Cortes, Miguel Amador-Macias, Ricardo Tapia-Herrera, Jesus Meda-Campana
This paper is oriented to solve the output regulation problem for descriptor systems on the basis of the modified Francis equations, for arbitrary reference signals by means of High-Gain Observer as a dynamical model, where its outputs corresponds to the references to follow and the disturbances to reject involved in the regulation problem. In this way, the regulation of unmodeled but measurable reference
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Analysis and Virtual Validation of Vehicle Dynamics Models for Electronic Stability Control IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2024-01-23 Lucas Alves Torres, Andre Murilo, Renato Vilela Lopes, Vinicius Leal
This work investigates the utility and efficiency of simplified vehicle dynamics models in the Electronic Stability Control (ESC) context. The focus is not merely on the correlation between simplified and complex models but on the added value such models can bring to the automotive industry. By comparing the simplified models based on bicycle representation with a high-fidelity VI-CarRealTime (VI-CRT)
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Performance Evaluation of Urban Traffic Using Simulation: A Case Study in Brazil IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Flavio Vasconcelos Pais, Bruno Nogueira, Rian G. S. Pinheiro
As a result of a fast-growing population, an increasing number of vehicles on the road, and inadequate public policies, metropolitan areas in Latin America are dealing with significant traffic congestion problems. Most cities do not have real-time urban traffic control systems. Therefore, the use of simulation software is a cost-effective solution to evaluate and reduce congestion in metropolitan areas
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Experiments with a holographic radar based on Software Defined Radio IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Marcelo Perotoni, Marcos Vieira, Rafael Bartolleti
The development of radar applications usually involves a complex set of different components, which can be costly and sometimes require careful handling. By concentrating most of the radar tasks into a software-defined radio, the hardware burden is alleviated, while the processing can be efficiently developed using open-source software suites. This article describes the development of a prototype radar
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Mapping the Landscape of SLAM Research: A Review IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Jeremías Gaia, Eugenio Orosco, Francisco Rossomando, Carlos Soria
Multiple publications have arisen from over three decades of research in the field of simultaneous localization and mapping (SLAM), overwhelming those who wish to delve into this area. The extensive body of work in SLAM has resulted in an abundant and, at times, confusing flow of data, lacking a straightforward explanation of the underlying principles. This article aims to address this issue by providing
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Novel Range Wise Optimization of the Exponential Bounds on the Gaussian Q Function and its Applications in Communications Theory IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Aditya Powari, Garv Anand, Dharmendra Sadhwani
This paper presents a novel and highly effective method for improving the accuracy of approximations for the Gaussian Q function. By rigorously optimizing the coefficients of the approximations using the interior point optimization technique, significantly tighter bounds are achieved with simplicity intact. The proposed approach, which is applicable to a wide range of scenarios, focuses on enhancing
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ISD2K reference model to represent an information system oriented to knowledge production IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Marco Fidos, Mauricio Ferreira
The generation of knowledge (K) is a continuous and necessary effort for human evolution. Electronic records have enabled data processing, storage, and transfer to extend and accelerate this evolutionary effort. Electronic systems have been created to automate and record data from a process, for governments, organizations, and even for individuals. The expansion of these systems and the gradual increase
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Remainder with Threshold Substitution Data Hiding Scheme: Counterexamples and Modification IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Gürcü Öz, Alexander Chefranov
A well-known data hiding scheme, Remainder with Threshold substitution (RT), is analyzed. RT uses a threshold value, T, and two moduli numbers, mu, and ml, ml
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The probabilistic behavior of the set and reset thresholds in Knowm's SDC memristors: Characterization and Simulation IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Gerardo Abel Laguna-Sanchez, Miguel Lopez-Guerrero, Ricardo Barron-Fernandez
This paper presents a proposal for the characterization of the set and reset thresholds for Knowms SDC memristors. The purpose is to incorporate the variability of the hysteresis cycles within the Generalized Mean Metastable Switch (GMMS) memristor model and, in this way, be able to perform simulations that reproduce these phenomena in a meaningful and computationally efficient way. We depart from
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Long-Term Effects of Degradation on Photovoltaic System Return on Investment IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Juan Cuadrado, Elizabeth Martinez, Edwin Puertas, Juan Carlos Martinez-Santos
The adoption of photovoltaic (PV) systems has increased significantly in recent years, driven by the demand for off-grid and on-grid residential and commercial applications. However, the high initial investment required for PV installations has limited their widespread adoption. Governments and marketing enterprises have implemented different strategies to promote PV systems to overcome this barrier
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Artificial Intelligence based Faults Identification, Classification, and Localization Techniques in Transmission Lines-A Review IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Shazia Kanwal, Somchat Jiriwibhakorn
An overview of the many methods used for fault detection, classification and location in the power system, particularly in transmission lines, is provided in this review, it also includes an experimental result of adaptive neuro-fuzzy inference system -based fault detection , fault classification and fault location. Being in operation outdoor environment, transmission lines are more vulnerable to various
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An IoT Ground Station: Mechanics, Control, Antenna, and Reception from a LoRa Satellite Network IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-11-02 Juvenal Villanueva Maldonado, José Luis Alvarez Flores, Marco Cárdenas Juárez, Jorge Flores Troncoso, Jorge Simón Rodríguez
In this article, the design and the integral implementation of a satellite ground station connected to the Internet of Things is presented. The communication system is based on long-range wireless technology, with the objective of receiving telemetry packets from a network of low-arth orbit satellites that transmit at frequencies around 433 MHz. The design covers mechanical design aspects, the control
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SpuR - A system for spectral signature recognition of chipless RFID tags using Software-Defined Radio IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Marcelo Frate, Robson João Gregório Rodrigues, Gilberto de Tadeu Santos Souza, Euclides Lourenço Chuma, Leonardo Lorenzo Bravo Roger
To solve problems related to Radio Frequency Identification, as well as to develop new technologies and applications with chipless RFID tags, this article describes the development of an innovative reader system based on Software-Defined Radios. Called SpuR, the system proposes a method of reading the spectral signature of RFID tags chipless, using general purpose hardware, reconfigurable by software
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Defining Routes for Emergency Response from Climate Events: a Data-oriented Approach IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Luis Felipe Oliveira, Daniel Oliveira, Yuri Frota
Extreme Events have recently become a topic of interest mainly due to the impacts of climate change worldwide over the last years. Such events commonly have a severe impact on major cities. Especially in Brazilian cities, the combination of climate change and unplanned urban growth on steep slopes has led to floods and landslides that killed thousands of people over the past decade. Once an extreme
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Modeling and Analysis of a Telesurgery Environment Using Stochastic Petri Nets IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Vamberto Rocha, Jean Araujo, Bruno Nogueira, Ermeson Andrade
Over the past few years, surgeries performed by robots have increased considerably. For telesurgery (or remote surgery) to be performed satisfactorily, synchrony between the robot and the communication links is essential. However, no studies analytically evaluate these remote surgery environments or calculate the probability of delivering messages when such surgeries are performed between two hospitals
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Advanced Metering Infrastructure for Industrial Natural Gas Smart Management IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Everton Camoleze de Araújo, Nelson Camilo de Almeida, Eduardo Paciencia Godoy
One of the challenges within the utilities sector is the development of robust, scalable and low-cost methods for the remote management of customers usage and billing. Considering the advances related to the Internet of Things (IoT), an Advanced Metering Infrastructure (AMI) is the basis for utilities smart management. This AMI bring together the automation of remote metering and communication infrastructures
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Trajectory planning technique based on curved-layered and parallel contours for 6-DOF deposition IEEE Lat. Am. Trans. (IF 1.3) Pub Date : 2023-09-19 Juan C. Guacheta-Alba, Sebastian Gonzalez, Mauricio Mauledoux, Oscar F. Aviles, Max Suell Dutra
The manufacture of solids using material deposition has boomed in recent years, and its use has grown steadily, generating challenges to improve printing. In addition, new mechanisms of six degrees of freedom have been designed focused on manufacturing parts, creating problems such as their trajectory planning. Therefore, this paper presents a new path-planning methodology based on the contour-parallel