2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)最新文献_第3页

Towards the Development of an Acne-Scar Risk Assessment Tool Using Deep Learning 基于深度学习的痤疮疤痕风险评估工具的开发

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018763

Jordan Aguilar, D. Benítez, Noel Pérez, Jorge Estrella-Porter, Mikaela Camacho, M. Viteri, P. Yépez, Jonathan Guillerno

{"title":"Towards the Development of an Acne-Scar Risk Assessment Tool Using Deep Learning","authors":"Jordan Aguilar, D. Benítez, Noel Pérez, Jorge Estrella-Porter, Mikaela Camacho, M. Viteri, P. Yépez, Jonathan Guillerno","doi":"10.1109/ROPEC55836.2022.10018763","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018763","url":null,"abstract":"Early estimation of the risk of having acne-induced scars is crucial for acne sufferers to ensure appropriate treatment and prevention. This paper explores the feasibility of using Convolutional neural networks (CNN) to estimate the risk of developing acne-induced scars based only on image analysis as a complementary tool for diagnosis. A database of acne sufferers whose acne-induced scar risks have been evaluated by specialized dermatologists applying a four-item-Acne-Scar Risk Assessment Tool (4-ASRAT) was used. The training dataset includes images of patients with a low, moderate, and high risk of suffering from acne scarring. The dataset was used to train a custom CNN model architecture for the binary and triple classification problem. Poor performance was achieved for the threefold classification problem, while the best model for the binary classification problem achieved an accuracy value of 93.15% and a loss of 19.45% with 0.931 AUC. Although these initial results for the binary classification problem (risk or no risk of developing acne scars in the future) are promising, much work is still required to improve the performance of the model.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127725293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Modeling and Simulation of Brushless DC Motor Considering Magnetic Saturation 考虑磁饱和的无刷直流电动机建模与仿真

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018696

J. Delgado-Quintero, R. Escarela-Perez, E. Campero-Littlewood, J. C. Olivares-Galvan

引用次数: 0

Sequential Models for Automatic Personality Recognition from Multimodal Information in Social Interactions 社会互动中多模态信息自动人格识别的顺序模型

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018711

Jean A. Ramirez, H. Escalante, Luis Villaseñor-Pineda

引用次数: 1

Differential Protection Analisys For Detection Of Ground Faults On the Generator Stator 发电机定子接地故障检测的差动保护分析

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018639

Christian H. Fernandez Alvarez, Carlota M. Pinos Veintimilla, F. Q. Palomeque

引用次数: 1

Design and characterization of magnetic loop distributed in three planes 三面分布磁环的设计与表征

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018731

Hugo David Lozano Rodríguez, Iván de Jesús Rivas Cambero, José Humberto Arroyo Núñez, Clementina Rueda German

引用次数: 0

Analysis of Predictive Control Strategies for High-Speed Operation of PMSM Drive 永磁同步电动机高速运行预测控制策略分析

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018577

Julio Hernandez, J. Rangel-Magdaleno, R. Morales-Caporal

引用次数: 1

Small-Signal Models of Transmission Lines Oriented to the Impedance-Based Method 面向阻抗法的传输线小信号模型

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018722

J. Hernández-Ramírez, J. Segundo-Ramírez

引用次数: 0

Broken Rotor Bar Detection in Induction Motors using Digital Taylor-Fourier Transform 基于数字泰勒傅里叶变换的感应电机转子断条检测

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018754

Sarahi Aguayo-Tapia, Gerardo Avalos-Almazan, J. Rangel-Magdaleno, M. Paternina

{"title":"Broken Rotor Bar Detection in Induction Motors using Digital Taylor-Fourier Transform","authors":"Sarahi Aguayo-Tapia, Gerardo Avalos-Almazan, J. Rangel-Magdaleno, M. Paternina","doi":"10.1109/ROPEC55836.2022.10018754","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018754","url":null,"abstract":"Bar damage is one of the most frequent faults in induction machines. The bar can be partially or fully broken, and the damage can appear in more than one bar. This type of dam-age may cause adverse effects as temperature rise, mechanical stress, frequency variation, increase in electricity consumption, and increase in motor vibrations, among others. Therefore, to schedule maintenance operations and accelerate repair processes, an opportune detection and classification of faults are imperative. This goes in concordance with the philosophy of electrical systems in the world, which consists of guiding them towards the concept of intelligent systems based on algorithms to track the dynamics of the systems accurately. This paper focuses on a motor current signature analysis through the Digital Taylor-Fourier transform, aiming to apply the digital Taylor-Fourier filters in the spurious frequencies, with the final purpose to reconstruct the filtered signal to obtain its frequency spectrum and, through statistical methods, identify in a precise way the type of bar damage. The proposed methodology is conducted in Matlab and evaluated for a group of data corresponding to a motor with one broken bar under 3/4 and 1/2 load conditions.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122263933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Virtual Inertia Control applied to a Multi-area Electrical Power System with Low Inertia and High Penetration of Renewable Energy Sources 虚拟惯性控制在可再生能源低惯性高渗透多区域电力系统中的应用

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018704

Angel Constantino Barajas, M. Martínez, E. Moreno-Goytia, Jose L. Murillo Perez, Carlos A. Melendez Ceja, Williams G. Najera Guitierrez

引用次数: 0

A low-cost stereo vision system for eye-to-hand Calibration 一种用于眼手校准的低成本立体视觉系统

2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018743

Jesús Abraham Rojas Úrzulo, José-Joel González-Barbosa, Xochitl Yamile Sandoval Castro, Maximiano Francisco Ruiz Torres

{"title":"A low-cost stereo vision system for eye-to-hand Calibration","authors":"Jesús Abraham Rojas Úrzulo, José-Joel González-Barbosa, Xochitl Yamile Sandoval Castro, Maximiano Francisco Ruiz Torres","doi":"10.1109/ROPEC55836.2022.10018743","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018743","url":null,"abstract":"In automated systems, there are tasks such as object pick and place. In this task, a vision system detects the coordinates of the work object. The robot uses these coordinates, link lengths, and joint values to implement inverse kinematics to move the robot to a point. The vision system obtains work object coordinates in its reference system; however, the robot needs to move to a point in its reference system. Changing the camera coordinate system to the robot coordinate system is necessary. We propose a crucial task methodology to compute this rigid transformation. This document proposes a method where a stereo vision system obtains the 3D coordinates of the center of a sphere in the robot end-effector. This way, we have two sets of points with different reference systems. We can find the transformation between robot and vision system references by finding the rigid transformation that reduces the Euclidean distance between the two sets of points. Because the real length of the link has an error derived in the manufacturing and assembly process, it is necessary to perform a robot calibration. The error obtained from adjusting both sets of points in the first experiment was 3.3136 mm, and after geometrical parameters compensation, this error was reduced to 1.9927 mm. It means a reduction of 39.86%.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127357276","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0