2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)最新文献_第2页

Voltage Behind Reactance Model of the Doubly Fed Induction Generator using Space Vectors 基于空间矢量的双馈感应发电机电抗后电压模型

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590687

J. Aller, J. Restrepo, J. Viola

引用次数: 2

Analysis of Out-of-Step Blocking Functions of Distance Relays at Venezuelan 765kV System 委内瑞拉765kV系统距离继电器失步阻塞功能分析

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590760

Greta Navas, E. Sorrentino, E. Orea

引用次数: 0

Message from the Conference Chairs 会议主席的致辞

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI: 10.1109/etcm53643.2021.9590682

引用次数: 0

Improvement of Dynamic Voltage Stability in a Resilient Microgrid based on Smart Inverters & SVC 基于智能逆变器和SVC的弹性微电网动态电压稳定性改进

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590762

Luis A. Paredes, M. Molina, Marcelo Pozo, B. Serrano

{"title":"Improvement of Dynamic Voltage Stability in a Resilient Microgrid based on Smart Inverters & SVC","authors":"Luis A. Paredes, M. Molina, Marcelo Pozo, B. Serrano","doi":"10.1109/ETCM53643.2021.9590762","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590762","url":null,"abstract":"The microgrid (MG) has emerged as part of the technological transition to smart grids. The MG can operate in two modes: connected to a distribution network or in an isolated stand-alone way. When the transition to island mode occurs, the M G must operate in a stable, reliable, and resilient way. In this context, the distributed energy resources (DERs) that are part of the M G must respond optimally to guarantee dynamic voltage stability (DVS) and to improve operational resilience. Under resilient contingency conditions, the voltage stability and reactive power control of the MG is severely compromised. Therefore, even though DERs based on smart inverters operate according to the low-voltage ride-through (L VRT) requirements stated at the IEEE Standard 1547–2018, it is not enough to supply the reactive power deficit. Thus, this paper aims to include FACTS (flexible ac transmission systems) type compensation devices, particularly a static var compensator (SVC) that operates in coordination with DERs of the MG. The results obtained are satisfactory, and it is shown that the smart inverters used for the DERs and the SVC device operating with a coordinated control strategy improved the DVS, allowing the control of the reactive power supply and granting an adequate level of operational resilience in the isolated MG.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130142138","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 180 nm Low-Cost Operational Amplifier for IoT Applications 用于物联网应用的180nm低成本运算放大器

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590655

Kevin Vicuña, Cristhopher Mosquera, Mateo Rendón, Ariana Musello, M. Lanuzza, L. Prócel, R. Taco, L. Trojman

引用次数: 1

Covid-19 in Ecuador: Radiography of Hospital Distribution Using Data Science 厄瓜多尔的Covid-19:使用数据科学对医院分布进行放射照相

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590641

Guillermo Rodriguez, Hover Torres, M. Fajardo, Jonathan Medina

{"title":"Covid-19 in Ecuador: Radiography of Hospital Distribution Using Data Science","authors":"Guillermo Rodriguez, Hover Torres, M. Fajardo, Jonathan Medina","doi":"10.1109/ETCM53643.2021.9590641","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590641","url":null,"abstract":"Exploring the behavior and impact that the Covid-19 pandemic is causing on the supply of hospital services in the main cities of Ecuador is the urgent aspiration of national and local authorities and society in general. Therefore, this work evaluates the distribution and area of influence of hospitals suitable for care of critically ill patients. For the study, advanced computational techniques were used, the data were obtained from Open Street Maps OSM and the Ministry of Public Health. In this work, it is possible to chain the process of extraction of statistical data of fatality product of Covid-19, the geolocation and distribution of the Health Centers (HC) of Quito, Guayaquiñl and Cuenca. Then, based on this information, it is verified how the hospital supply capacity and the balanced distribution of HC affect the number of deaths caused by the pandemic. Concluding that Guayaquil has the highest number of deaths and has the lowest rate of HC and a more unequal distribution; on the other hand, Cuenca has the lowest number of deaths and the highest HC rate with a more balanced distribution of HC.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"152 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121519571","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

Multi-objective Optimization of Active and Reactive Power to assess Bus Loadability Limit 评估母线负载极限的有功和无功多目标优化

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590665

Diego Arias-Cazco, Angel Vaca Peñafiel

引用次数: 0

Differences Between Effective and Physical Roughness Parameter- A Headwater Mountain River Experiment 有效粗糙度参数与物理粗糙度参数的差异——一个山源河流试验

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590636

S. Cedillo, L. Timbe, E. Sánchez-Cordero, E. Samaniego, K. Narea, A. Alvarado

{"title":"Differences Between Effective and Physical Roughness Parameter- A Headwater Mountain River Experiment","authors":"S. Cedillo, L. Timbe, E. Sánchez-Cordero, E. Samaniego, K. Narea, A. Alvarado","doi":"10.1109/ETCM53643.2021.9590636","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590636","url":null,"abstract":"One-dimensional hydrodynamic models (HM) are widely used in the hydraulic modeling of rivers and channels. The result obtained with this type of model depends largely on correct estimation the roughness parameter. The value of the roughness parameter obtained through a HM calibration process differs from the one measured in the field. Hence, the objective of this research is focused on identifying the difference between physical and effective roughness for different morphologies present in Mountain Rivers. Physical roughness was indirectly measured with field data and Manning equation, while Effective roughness was found through GLUE experiments using water depth as validation data in one dimensional models in HEC RAS. Physical and effective roughness coefficients have shown differences depending on the morphology. In Cascade and Step-pool the physical roughness is higher than effective roughness, while in Plane-bed effective roughness is higher than physical roughness. The differences are attributed to the deviations that occur between the real conditions and the flow idealizations in an 1D - HD model. For any modelling application is important to research roughness values used previously and avoid formulations or tables which are based on field measurements.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"357 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115859774","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

Heart Disease Detection with Deep Learning Using a Combination of Multiple Input Sources 基于多输入源组合的深度学习心脏病检测

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590672

S. Shinde, Juan Carlos Martinez-Ovando

{"title":"Heart Disease Detection with Deep Learning Using a Combination of Multiple Input Sources","authors":"S. Shinde, Juan Carlos Martinez-Ovando","doi":"10.1109/ETCM53643.2021.9590672","DOIUrl":"https://doi.org/10.1109/ETCM53643.2021.9590672","url":null,"abstract":"Disease detection is quite a difficult task and it requires medical training and experience. When it comes to heart disease diagnostics, it gets even more complex due to the additional specialization and expertise required. One of the common ways for detecting heart diseases used by heart specialists is by listening to the patient's heartbeat via a stethoscope and interpreting the sound. In this paper, we describe how we can use deep learning techniques to detect heart diseases in patients by analyzing audio recording or real time streaming of heartbeats to predict whether the patient is healthy or sick. The deep neural network model developed is a hybrid model as it combines the innate characteristics of convolutional and recurrent neural network models, which helped achieve higher accuracy in the prediction results as compared to current published results. The dataset used for training the model is a combination of two separate data science competition datasets. We used data augmentation techniques on this combined dataset to increase its size and diversity. When we tested the final model, it showed a significantly better performance as compared to the state of the art.","PeriodicalId":438567,"journal":{"name":"2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)","volume":"207 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123498340","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: 4

Microlearning Method to Building Learning Capsules for Older Adults: A Case Study for COVID-19 Prevention at Home 构建老年人学习胶囊的微学习方法:以家庭COVID-19预防为例

2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM) Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590793

D. Gomez, Alexandra Bermeo, Daniela Prado, Priscila Cedillo

引用次数: 2