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Natural language processing: a proposal for word-per-minute evaluation in students' performance within the Classroom 自然语言处理:对学生课堂表现进行每分钟字数评估的建议
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018720
Sergio Faustino Vázquez Reyes, Juan Arias-Castillo, R. Melendez-Armenta, Pedro Arguijo, José Antonio Hiram Vázquez López
{"title":"Natural language processing: a proposal for word-per-minute evaluation in students' performance within the Classroom","authors":"Sergio Faustino Vázquez Reyes, Juan Arias-Castillo, R. Melendez-Armenta, Pedro Arguijo, José Antonio Hiram Vázquez López","doi":"10.1109/ROPEC55836.2022.10018720","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018720","url":null,"abstract":"The objective of this research is to evaluate the number of words per minute by using a mobile application that implements the natural language processing and that contributes to the reading comprehension of students of 5th and 6th grade of elementary education in Mexico. The application was developed with the software development kit Flutter to do the interface programming and the library “Vosk” that implements the natural language processing. The results demonstrate the ability of the mobile application to detect the words that student is capable to read during the aloud reading. In addition, the application registers the time of the reading and finally, ask questions at the end of each proof. These results allow to calculate the reading comprehension of the student by the natural language processing that give a general result of the performance at the end of the test.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"62 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120988945","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
A data analytics method based on data science and machine learning for bank risk prediction in credit applications for financial institutions 一种基于数据科学和机器学习的数据分析方法，用于金融机构信贷应用中的银行风险预测
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018807
Remigio Ismael Hurtado Ortiz, Edisson Salinas Jara, Juan Hurtado Ortiz, Johnny Maisincho Panjón
{"title":"A data analytics method based on data science and machine learning for bank risk prediction in credit applications for financial institutions","authors":"Remigio Ismael Hurtado Ortiz, Edisson Salinas Jara, Juan Hurtado Ortiz, Johnny Maisincho Panjón","doi":"10.1109/ROPEC55836.2022.10018807","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018807","url":null,"abstract":"Nowadays, banks grant credits so that customers can acquire a good or service, start or improve a business, among other benefits. The problems that may arise are over-indebtedness and low saving possibilities on the part of customers, so the tendency is the risk of default. Financial institutions require tools for default risk analysis and problem prediction. Therefore, in this research, a data analysis method based on data science and machine learning is proposed for bank risk prediction in credit applications for financial institutions. For the analysis process and for the prediction of a credit, predictive analysis methods are used: Genetic Algorithms (GA), Random Forest (RF), K-Nearest-Neighbor (KNN), Support Vector Machines (SVM) and Neural Network (NN). Quality metrics such as Accuracy, Precision, Recall and F1 Score are used to evaluate the results. A public dataset called Statlog [1] is used. This work opens the door for data analysis in different banking services. The main objective of this research is to help financial companies to optimize their processes.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"60 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":"127228038","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
An Efficient Neurocontroller Position Method for PMSM Drive System 一种高效的PMSM驱动系统神经控制器定位方法
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018717
O. Aguilar-Mejía, H. M. Popocatl, J.M. Garcia-Morales, C. O. Castillo-Ibarra, A. Valderrábano‐González
{"title":"An Efficient Neurocontroller Position Method for PMSM Drive System","authors":"O. Aguilar-Mejía, H. M. Popocatl, J.M. Garcia-Morales, C. O. Castillo-Ibarra, A. Valderrábano‐González","doi":"10.1109/ROPEC55836.2022.10018717","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018717","url":null,"abstract":"PMSM has been widely used in high-precision variable-speed applications, however, the control scheme demands normally a high dynamic performance under several operating contidions. Due to the non-linear nature of the PMSM, the use of an adaptive controller based on B-spline neural networks is proposed to determine the control signals. The proposed control technique through neural networks exhibits the best performance because it can be adapted to each operating condition, demanding low computational cost for an online operation, and considering non-linearities of the system. The performance of the proposed controller is evaluated in the presence of uncertainties. The results are compared with the conventional PI controller, optimized using whale optimization algorithm.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"8 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":"125102068","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
Selective Signal Extraction based on OMP algorithm and DCT and DST Dictionaries 基于OMP算法和DCT和DST字典的选择性信号提取
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018725
C. Morales-Perez, J. Rangel-Magdaleno, H. Peregrina-Barreto, Jorge Cerezo-Sanchez, Ambrosio Leon-Bonilla
{"title":"Selective Signal Extraction based on OMP algorithm and DCT and DST Dictionaries","authors":"C. Morales-Perez, J. Rangel-Magdaleno, H. Peregrina-Barreto, Jorge Cerezo-Sanchez, Ambrosio Leon-Bonilla","doi":"10.1109/ROPEC55836.2022.10018725","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018725","url":null,"abstract":"Filtering and signal extraction are essential ap-plications in some areas such as medical, electrical, pattern recognition, and other disciplines. For example, in regions of automatic detection, it is necessary to isolate specific signals to study them or accomplish the training process to reach a high detection rate. This paper proposes a new technique of signal extraction based on sparse representation and the Orthogonal Matching Pursuit algorithm, using discrete sine transform and discrete cosine transform to generate the dictionaries. Then, the signal is represented in the base of the given dictionary and limited to the desired bandwidth, extracting the desired information with almost no changes in phase and amplitude, reaching almost vertical slopes in lateral bands.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"119 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":"123583786","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
Design of a physiological parameter monitoring system, implementing internet of things communication protocols by using embedded Systems 设计一个生理参数监测系统，利用嵌入式系统实现物联网通信协议
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018715
Daniel Llamas-Maldonado, Grace Leslie, J. A. Salazar-Torres, Adriana del Carmen Téllez-Anguiano, Miguelangel Fraga-Aguilar
{"title":"Design of a physiological parameter monitoring system, implementing internet of things communication protocols by using embedded Systems","authors":"Daniel Llamas-Maldonado, Grace Leslie, J. A. Salazar-Torres, Adriana del Carmen Téllez-Anguiano, Miguelangel Fraga-Aguilar","doi":"10.1109/ROPEC55836.2022.10018715","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018715","url":null,"abstract":"In this paper the procedure and methodology for the wireless communication of biomedical sensors is shown. In this case of study, we focused on Photoplethysmography (PPG) Heart Beat Rate and Respiratory Rate sensors. This communication system was made using the ESP32 and Beagle Bone Black embedded systems. Also, a graphical user interface (GUI) and data storage system was developed in order to facilitate its visualization, analysis and consequentially the decision making.","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":"122695198","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
Training of a convolutional neural network for autonomous vehicle Driving 自动驾驶车辆卷积神经网络的训练
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018748
Sergio Iván Morga Bonilla, Daniel Galván Pérez, Iván de Jesús Rivas Cambero, Jacinto Torres Jiménez
{"title":"Training of a convolutional neural network for autonomous vehicle Driving","authors":"Sergio Iván Morga Bonilla, Daniel Galván Pérez, Iván de Jesús Rivas Cambero, Jacinto Torres Jiménez","doi":"10.1109/ROPEC55836.2022.10018748","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018748","url":null,"abstract":"In the world of electric vehicles, autonomous driving symbolizes the present and future where research is mainly focused. This paper shows the process to develop the training of an intelligent driving system based on artificial vision for an autonomous electric vehicle, making use of a convolutional neural network architecture, which are fed by a set of images of a route from three cameras, left, center and right, positioned in front of the vehicle, and the instantaneous direction of each third of images. The objective is to train a neural network to obtain a model that can autonomously make a decision about the angle that the vehicle should have in each input image frame, coming from a single camera mounted at the center of the vehicle and therefore that the vehicle covers the route autonomously. The images must be preprocessed to enrich the dataset, this is done in PYTHON specifically in Google Colab. In this first stage, the data set is obtained for preprocessing and performance testing of the model trained in the UDACITY autonomous driving simulator.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"21 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":"114483441","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
Unit Commitment Problem Considering Solar Power Penetration Levels and Pumped Hydroelectric Storage 考虑太阳能发电渗透水平和抽水蓄能的机组承诺问题
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018714
David Sánchez-Heredia, E. Espinosa-Juárez
{"title":"Unit Commitment Problem Considering Solar Power Penetration Levels and Pumped Hydroelectric Storage","authors":"David Sánchez-Heredia, E. Espinosa-Juárez","doi":"10.1109/ROPEC55836.2022.10018714","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018714","url":null,"abstract":"This paper presents a methodology to analyze the unit commitment problem when there is high penetration of solar generation and the changing demand generates a duck shape load curve. The analysis includes pumped hydroelectric storage system that acts by storing or inj ecting energy so that the optimal unit programming is available in terms of generation cost and the start-up of conventional generation units. To solve the mixed-integer nonlinear programming problem of the presented methodology, the YALMIP BMINBNB solver is used in the Matlab® environment. The case studies presented allow observing the effectiveness of the implemented methodology.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"6 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":"129131243","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
Shooting-Method-Based Simulink Initialization 基于射击方法的Simulink初始化
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018709
J. Hernández-Ramírez, J. Segundo-Ramírez, N. Visairo, C. Nuñez
{"title":"Shooting-Method-Based Simulink Initialization","authors":"J. Hernández-Ramírez, J. Segundo-Ramírez, N. Visairo, C. Nuñez","doi":"10.1109/ROPEC55836.2022.10018709","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018709","url":null,"abstract":"This work presents the implementation and performance of a shooting method for rapid initialization of electrical power systems models implemented with the specialized power systems libraries of Simulink. We selected the numerical differen-tiation method as the shooting method since it does not need the mathematical model of the dynamic system explicitly, but only the state vector at the beginning and the end of the fundamental period. Additionally to the initialization, the method provides stability of the solution through the Floquet multipliers. We tested the method with a STATCOM based on a two-level inverter, and the results exhibit its correct performance in accuracy and computation time.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"95 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":"123858367","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
Induction Motor Failure Analysis using Machine Learning and Infrared Thermography 基于机器学习和红外热成像的感应电机故障分析
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018653
E. Resendiz-Ochoa, L. A. Morales-Hernández, I. A. Cruz-Albarrán, Shaila Álvarez-Junco
{"title":"Induction Motor Failure Analysis using Machine Learning and Infrared Thermography","authors":"E. Resendiz-Ochoa, L. A. Morales-Hernández, I. A. Cruz-Albarrán, Shaila Álvarez-Junco","doi":"10.1109/ROPEC55836.2022.10018653","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018653","url":null,"abstract":"Induction motor are electrical machines used in a wide variety of industrial applications. However, due to their applications, are subjected to undesirable operating conditions. A complementary technique that aids in fault diagnosis in induction motors is infrared thermography. This paper proposes a methodology based on automatic learning and unsegmented infrared imaging for classifies and diagnosis failures on induction motor and their kinematic chain. The proposed methodology is analyzing the unsegmented infrared thermography, taking directly from the thermogram significant statistical features that describe the thermal behavior of the electromechanical system, to later reduce the set of characteristics and, through a machine learning algorithm, classify the fault condition. To demonstrate the efficiency of the proposed methodology, this paper presents the health condition analysis and three fault conditions in an induction motor: a broken rotor bar, bearing damage, and misalignment.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"27 2 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":"116376622","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
Analysis of the Appropriate Decomposition Level Based on Discrete Wavelet Transform for Detection of Power Quality Disturbances 基于离散小波变换的电能质量扰动检测的适当分解水平分析
2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2022-11-09 DOI: 10.1109/ROPEC55836.2022.10018687
Aldo Vinicio Rico-Medina, E. Reyes-Archundia, J. Gutiérrez-Gnecchi, J. Olivares-Rojas, María Del Carmen García-Ramírez
{"title":"Analysis of the Appropriate Decomposition Level Based on Discrete Wavelet Transform for Detection of Power Quality Disturbances","authors":"Aldo Vinicio Rico-Medina, E. Reyes-Archundia, J. Gutiérrez-Gnecchi, J. Olivares-Rojas, María Del Carmen García-Ramírez","doi":"10.1109/ROPEC55836.2022.10018687","DOIUrl":"https://doi.org/10.1109/ROPEC55836.2022.10018687","url":null,"abstract":"The improvement in Power Quality has been a concern for both the public and private sectors in recent years. One of the main problems within this topic is the appearance of anomalies or disturbances in the power supply, which represent sudden changes in the waveforms of the signals and cause severe damage to the utility grid. This paper presents a comparative study of different resolution levels for the analysis of eight types of Single Power Quality Disturbances using Multiresolution Analysis. A set of disturbances was generated in MATLAB through their mathematical models and the extracted wavelet-based features were normalized by Z-score. The results show that the use of nine resolution levels leads to an appropriate decomposition, since it allows obtaining a greater amount of information, without compromising the computational performance, which would facilitate a future classification process.","PeriodicalId":237392,"journal":{"name":"2022 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"4 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":"127767918","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
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