IEEE Latin America Transactions最新文献_第2页

Real-time inertia estimation via ARMAX model representation and synchrophasor measurements 实时惯性估计通过ARMAX模型表示和同步量测量

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-04-22 DOI: 10.1109/TLA.2025.10974367

Alexander Sanchez-Ocampo;Mario R. Arrieta Paternina;Jose M. Ramos-Guerrero;Gabriel E. Mejia-Ruiz;Juan M. Ramirez-Arredondo;Lucas Lugnani;Felix Munguia-Perez;Alejandro Zamora-Mendez;Juan R. Rodriguez-Rodriguez

引用次数: 0

FishEye Matlock: A Random Functional Encoding Mechanism for Secure Location Sharing 鱼眼锁：一种安全位置共享的随机功能编码机制

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-03-19 DOI: 10.1109/TLA.2025.11007191

Pedro Wightman;Nicolás Avilán;Augusto Salazar

{"title":"FishEye Matlock: A Random Functional Encoding Mechanism for Secure Location Sharing","authors":"Pedro Wightman;Nicolás Avilán;Augusto Salazar","doi":"10.1109/TLA.2025.11007191","DOIUrl":"https://doi.org/10.1109/TLA.2025.11007191","url":null,"abstract":"Location tracking is difficult to protect due to the sequential nature of the data and the need for accuracy to offer a proper service and monetize the location information. Homomorphic encryption can partially solve the problem, but it typically has a minimal set of operations that are not feasible for geographical operations. Randomized Functional Encoding (RFE) allows the creation of random keys to decrypt data, according to the user's needs. Now, creating keys that only focus on a portion of the path while protecting the rest of the path has not been proposed in the literature, to the knowledge of the authors. This work proposes a RFE mechanism for Matlock-coded location data, called FishEye Matlock. This technique generates disposable random key matrices that only reveal a desired portion of the path, with the possibility for the user to add random noise to protect the revealed data and to control the amount of noise added to the rest of the path. This allows secure information sharing with particular actors, like law enforcement, so that the information of interest is shared without affecting the user's privacy. The algorithm is tested in two different path scenarios to show the technique's applicability, the level of protection, and the impact of the parameter value selection. Results show that the mechanism can be tailored to generate key matrices for different scenarios: at the lowest value of k, the level of noise reaches several thousands of kilometers of noise along the path, and between 60 and 100 times the level of noise, and with, the highest k value, between 40% to 80% of the maximum distance radius on average at the point of interest, and between 1.1 and 10 times the defined noise level at the path.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 6","pages":"452-461"},"PeriodicalIF":1.3,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11007191","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090774","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}

引用次数: 0

Table of Contents June 2025 目录2025年6月

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-03-19 DOI: 10.1109/TLA.2025.11007190

引用次数: 0

A Review of Voltage Distribution on Metal Oxide Surge Arrester and Suggestions for Improvement in High Voltage Applications 金属氧化物避雷器在高压应用中的电压分布及改进建议

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-03-19 DOI: 10.1109/TLA.2025.11007196

Valsalal Prasad

{"title":"A Review of Voltage Distribution on Metal Oxide Surge Arrester and Suggestions for Improvement in High Voltage Applications","authors":"Valsalal Prasad","doi":"10.1109/TLA.2025.11007196","DOIUrl":"https://doi.org/10.1109/TLA.2025.11007196","url":null,"abstract":"Stray capacitive effect of MOSA may cause non-uniform voltage distribution in both non-conduction and conduction modes. Also, during conduction, there is a delay in operation of arrester, particularly when faced with very fast transient overvoltages (VFTOs). Consequently, there is a necessity to reduce stray capacitive effect for improvement in voltage distribution and reduce delay in response of arrester for VFTOs. One approach is placement of grading rings with appropriate number and size. Numerous researchers have conducted extensive studies on causes of non-uniform voltage distribution, computation of stray capacitances and remedial measures to achieve a more uniform voltage distribution. Further, this investigation holds great significance in polluted environments, damaged arresters and broken sheds, as proper operation of surge arresters relies on environmental conditions, material properties, and shapes of arrester assembly. This paper provides a summary of research conducted by various researchers from the year 1970 and also offers suggestions for further studies of achieving a more uniform voltage distribution and reducing response delay of MOSAs.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 6","pages":"479-486"},"PeriodicalIF":1.3,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11007196","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090769","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}

引用次数: 0

Fault Section Identification in Distribution Networks with DFIG and PMSG Generators Using Current Transients 基于暂态电流的DFIG和PMSG配电网故障区段识别

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-03-19 DOI: 10.1109/TLA.2025.11007188

Juan Carlos Peqqueña Suni;Marina Gabriela Sadith Pérez Paredes;Marcelo Vinicius de Paula;Ernesto Ruppert Filho;Juan Antonio Martinez Velasco

{"title":"Fault Section Identification in Distribution Networks with DFIG and PMSG Generators Using Current Transients","authors":"Juan Carlos Peqqueña Suni;Marina Gabriela Sadith Pérez Paredes;Marcelo Vinicius de Paula;Ernesto Ruppert Filho;Juan Antonio Martinez Velasco","doi":"10.1109/TLA.2025.11007188","DOIUrl":"https://doi.org/10.1109/TLA.2025.11007188","url":null,"abstract":"This paper presents a methodology for fault section identification (FSI) in distribution networks with embedded wind power generation. The phase currents are measured only at the distribution substation (DS), using a waveform window of two cycles (one before and one after the fault detection). The proposed approach is divided into two stages: the first stage, Fault Identification (FI), aims to identify whether a short-circuit fault lies on a main feeder or one of the branches effectively addressing the challenge of multiple fault locations that may arise when several branches correspond to the estimated fault point; the second stage, Fault Location (FL), estimates the distance between the DS and the fault location. The algorithm employs discrete wavelet transform (DWT) in combination with artificial neural networks (ANNs). Energy and Relative Energy Entropy, both in per unit (EPU and REEPU), are proposed and calculated from DWT decomposition, with regularization indexes applied to EPU and REEPU. These indexes serve as input to multi-layer ANN models, which work as classifiers for FI and predictors for FL. Various fault scenarios with different fault inception angle, fault type, fault resistance and fault location are simulated using MATLAB software and the IEEE 34-node benchmark feeder as test system. The results demonstrate that the proposed methodology performs effectively the FSI task, achieving an accuracy of up to 95% for FI and a maximum error of 5.2% for FL.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 6","pages":"487-496"},"PeriodicalIF":1.3,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11007188","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090770","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}

引用次数: 0

Short Term Residential Load Forecasting Using Temporal Weather Based Embedding Stacked LSTMs 基于时间天气的嵌入堆叠lstm短期住宅负荷预测

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-03-19 DOI: 10.1109/TLA.2025.11007195

Srinivasa Raghavan Vangipuram;Giridhar A V

{"title":"Short Term Residential Load Forecasting Using Temporal Weather Based Embedding Stacked LSTMs","authors":"Srinivasa Raghavan Vangipuram;Giridhar A V","doi":"10.1109/TLA.2025.11007195","DOIUrl":"https://doi.org/10.1109/TLA.2025.11007195","url":null,"abstract":"Resource management is crucial to balance human needs with sustainability, prevent overuse, and preserve natural resources like water, forests, and minerals for future generations. Managing electricity at the root of human usage can be a crucial first step, helping us move toward better resource management and reducing the strain on natural resources. Superior forecasting approaches are needed to determine usage patterns. Accurate predictions can serve as key input to the Home Energy Management Systems (HEMS) mechanisms in optimizing electricity operation, reducing energy waste, and increasing resource utilization. Neural network-based methods are being developed to forecast electricity usage in residential buildings by learning behavioral patterns over time. These approaches leverage historical data to identify trends and predict future consumption, offering a promising direction for more accurate forecasting methods. Although still evolving, they provide a foundation for optimizing energy management by anticipating demand and enabling more efficient resource allocation. However, these approaches primarily rely on historical patterns to predict future electricity usage, often overlooking the impact of daily weather conditions. In this paper, we explore a method that incorporates weather information to enhance electricity usage predictions. We propose a simple Stacked LSTM-based neural network that integrates historical usage data and weather information as learned inputs for more effective electricity usage prediction. Our approach demonstrates improved prediction performance compared to methods that do not account for weather factors and the CNN-SLSTM model. For the BR04 hourly test dataset, our proposed model achieves a 56% and 67% reduction in RMSE compared to the SLSTM with weather and CNN-SLSTM models, respectively.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 6","pages":"497-507"},"PeriodicalIF":1.3,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11007195","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090753","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}

引用次数: 0

Clustered Orienteering Problem with Function-Based Rewards 基于函数奖励的聚类定向问题

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-03-19 DOI: 10.1109/TLA.2025.11007194

Vinícius Leite Censi Faria;Douglas Guimarães Macharet

{"title":"Clustered Orienteering Problem with Function-Based Rewards","authors":"Vinícius Leite Censi Faria;Douglas Guimarães Macharet","doi":"10.1109/TLA.2025.11007194","DOIUrl":"https://doi.org/10.1109/TLA.2025.11007194","url":null,"abstract":"The Orienteering Problem is a well-studied problem that aims to determine an optimal route that maximizes the cumulative rewards while attaining a predefined travel budget. This classical formulation has been generalized in many forms, including grouping customers (locations) into clusters. However, such cluster-based formulation typically demands visiting all customers to collect the reward, thereby restricting its applicability. In this paper, we introduce a novel variant in which rewards associated with a cluster can be partially collected following a function that correlates with the number of customers attended within the cluster. This new formulation is a suitable alternative to model scenarios where the reward of the clusters can exhibit distinct and unique scaling patterns. We propose using an evolutionary algorithm to solve this problem and evaluate its performance considering different scenarios and aspects. The results demonstrate that our method effectively selects an appropriate number of clients to attend to based on the assigned function for each cluster.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 6","pages":"472-478"},"PeriodicalIF":1.3,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11007194","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090771","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}

引用次数: 0

Analysis of Kinetic Energy Recovery System Based on Four-Phase Interleaved Buck Converter for Vehicle Verification Processes 基于四相交错Buck变换器的车辆验证过程动能回收系统分析

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-03-19 DOI: 10.1109/TLA.2025.11007189

Iván Alfonso Reyes-Portillo;Abraham Claudio-Sánchez;Saúl Rolando Méndez Elizondo;Dora Luz Castro-López;Luis Guillermo Carreto-Hernández

{"title":"Analysis of Kinetic Energy Recovery System Based on Four-Phase Interleaved Buck Converter for Vehicle Verification Processes","authors":"Iván Alfonso Reyes-Portillo;Abraham Claudio-Sánchez;Saúl Rolando Méndez Elizondo;Dora Luz Castro-López;Luis Guillermo Carreto-Hernández","doi":"10.1109/TLA.2025.11007189","DOIUrl":"https://doi.org/10.1109/TLA.2025.11007189","url":null,"abstract":"The automotive industry consumes large amounts of fossil fuels during vehicle acceleration and braking tests as part of quality verification. The kinetic energy generated in the test rollers is typically wasted during vehicle braking. One approach to reducing vehicle production costs and improving the efficiency of fossil fuel consumption is to recover a fraction of this energy using a system that does not interfere with vehicle verification standards. The recovered energy can be stored or used for other essential functions, such as powering lighting systems. In industrial processes, electrical energy is the most common form of energy recovery due to its advantages in storage, distribution, and transformation for various applications. This paper presents the analysis of a kinetic energy recovery system (KERS) based on a four-phase interleaved Buck converter for vehicle testing processes. A stage by stage analysis of the energy recovery system is provided, along with the selection of system parameters. Furthermore, the advantages of the proposed topology and the experimental results are discussed.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 6","pages":"527-536"},"PeriodicalIF":1.3,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11007189","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090752","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}

引用次数: 0

AFERSM-Net: Joint Network for Gesture Recognition and Location Classification AFERSM-Net：手势识别和位置分类联合网络

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-03-19 DOI: 10.1109/TLA.2025.11007187

Xu Lu;Zexiao Cai;Xiongwei Huang;Cheng Zhou;Jun Liu

{"title":"AFERSM-Net: Joint Network for Gesture Recognition and Location Classification","authors":"Xu Lu;Zexiao Cai;Xiongwei Huang;Cheng Zhou;Jun Liu","doi":"10.1109/TLA.2025.11007187","DOIUrl":"https://doi.org/10.1109/TLA.2025.11007187","url":null,"abstract":"With the widespread deployment of wireless communication systems and smart devices, gesture recognition and indoor location classification technologies based on WiFi wireless devices are increasingly used. Its technical principle is to identify human activities and locations by extracting gesture and location features from WiFi channel state information (CSI). However, the signal is susceptible to interference from the environment during CSI data acquisition to produce multipath effect noise, and the amplitude change with the change of location often affects the extraction and recognition of gesture features. To address these problems, Auxiliary Feature Extraction based Residual Shrinkage Multi-tasking Network (AFERSM-Net) is proposed for gesture recognition and position classification of one-dimensional multivariate time series. AFERSM-Net is a hybrid architecture that combines CNN for spatial feature extraction and LSTM networks for capturing temporal dependencies. Firstly, a reasonable threshold is set adaptively by the shrinkage module to dynamically identify and eliminate the transformed environmental noise. Secondly, the feature extraction module is used to focus on and extract location-independent gesture features to reduce the influence of location-independent features. Finally, the gesture features extracted by the feature extraction module are fused with the shared features of the residual shrinkage multi-tasking network as an aid. Its module fusion is mainly used to improve the accuracy of gesture recognition and solve the problem of insufficient model generalization ability. We evaluated this network on a dual-labeled gesture and location dataset, an the gesture recognition accuracy was 97.84% and the location classification accuracy was 98.92%, which outperformed other advanced network frameworks.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 6","pages":"462-471"},"PeriodicalIF":1.3,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11007187","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090761","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}

引用次数: 0

A Cooperative Control Approach for Multi-quadrotor Formation in Agricultural Scenarios with Obstacles and External Disturbances 具有障碍物和外界干扰的农业场景下多四旋翼编队协同控制方法

IF 1.3 4区工程技术

IEEE Latin America Transactions Pub Date : 2025-03-19 DOI: 10.1109/TLA.2025.11007192

Pablo Raul Yanyachi;Luis F. Canaza Ccari;Daniel Yanyachi

{"title":"A Cooperative Control Approach for Multi-quadrotor Formation in Agricultural Scenarios with Obstacles and External Disturbances","authors":"Pablo Raul Yanyachi;Luis F. Canaza Ccari;Daniel Yanyachi","doi":"10.1109/TLA.2025.11007192","DOIUrl":"https://doi.org/10.1109/TLA.2025.11007192","url":null,"abstract":"This research aims to develop a robust cooperative control approach for the flight formation of multiple quadrotors in trajectory tracking tasks in agricultural scenarios with obstacles and external disturbances. For this purpose, a distributed autonomous control framework is proposed that integrates a guidance system and an advanced control system for each quadrotor under a leader-follower control scheme. The guidance system employs the Artificial Potential Field (APF) algorithm, which guarantees attraction to the target while avoiding obstacles. For the control system, a distributed consensus protocol based on an Adaptive Integral Fast Terminal Sliding Mode Control (AIFTSMC) is implemented, ensuring fast convergence and robust tracking of the reference trajectory, maintaining the alignment of the quadrotors throughout the entire flight mission. The validity of the proposed approach has been demonstrated through numerical simulations performed in Matlab/Simulink, implementing a representative agricultural scenario. The results show that the approach offers robust and efficient performance for multiple quadrotor flight formation in agricultural environments, even in the presence of external disturbances and obstacles.","PeriodicalId":55024,"journal":{"name":"IEEE Latin America Transactions","volume":"23 6","pages":"508-517"},"PeriodicalIF":1.3,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11007192","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144090772","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}

引用次数: 0