2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)最新文献_第10页

Wavefront sensing using deep learning for Shack Hartmann and pyramidal sensors 基于深度学习的Shack Hartmann和金字塔传感器的波前传感

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2021-12-06 DOI: 10.1109/CHILECON54041.2021.9703060

David Escobar, Esteban Vera

{"title":"Wavefront sensing using deep learning for Shack Hartmann and pyramidal sensors","authors":"David Escobar, Esteban Vera","doi":"10.1109/CHILECON54041.2021.9703060","DOIUrl":"https://doi.org/10.1109/CHILECON54041.2021.9703060","url":null,"abstract":"The use of Deep Learning in wavefront sensing has become a tremendous tool that provides an innovative approach to estimate the phase of an aberrated wavefront. Different methods have been developed in this field in order to find the best strategy according to the application. In this paper, a comparison between two wavefront sensing applications is carried out using various CNN Deep Learning architectures to obtain the closest representation of it in terms of Zernike Coefficients. A database of 110 000 40x40 images is created per application using the OOMAO Matlab toolbox where the sensor’s images were generated using 200 Zernike Coefficients to produce a wavefront. The proposed network SH-P Net for the Shack Hartmann and Pyramid sensor fits with lower RMSE than the others evaluated in this document. The database generated with uniform distribution allows the neural network to learn better and faster. The computation time of the networks was about 1 s for 22 000 images and the root mean square wavefront error between the estimation and the input was about 0.00664 rad approximately.","PeriodicalId":340976,"journal":{"name":"2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125340887","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

Dynamic Modeling and experimental validation of refrigeration system for fruit storage 水果冷藏系统动态建模与实验验证

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2021-12-06 DOI: 10.1109/CHILECON54041.2021.9702891

J. M. Silupú, Jean C. Campos, W. Ipanaqué

{"title":"Dynamic Modeling and experimental validation of refrigeration system for fruit storage","authors":"J. M. Silupú, Jean C. Campos, W. Ipanaqué","doi":"10.1109/CHILECON54041.2021.9702891","DOIUrl":"https://doi.org/10.1109/CHILECON54041.2021.9702891","url":null,"abstract":"It is known that the vapour compression cycle (VCC) is the most used system of refrigeration in industry; so, in this paper we will present a dynamic model based on the moving-boundary approach which will allow us to obtain the essential dynamics of the refrigerant in every phase without using multiple models. In contrast with previous work, this research considers two real components which are the receptor and the accumulator; thus, it integrates the heat transfer from the evaporator to the cold room. In addition, there is a presentation of an experimental validation of the refrigeration model together with the experimental plant of refrigeration from University of Piura (Peru). On the other hand, it is relevant to verify that the model of the temperature in the fruit, the pressure in the evaporator as well as the condenser match with the experimental measurements. The results proved an accuracy (R2) of 99.03%, 97.78% and 71.89%, respectively. Finally, this study provides a functional and an advantageous tool for model-based control technology.","PeriodicalId":340976,"journal":{"name":"2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130035298","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

Fuzzy Kalman Filter using Linear Matrix Inequalities 基于线性矩阵不等式的模糊卡尔曼滤波

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2021-12-06 DOI: 10.1109/CHILECON54041.2021.9703045

H. Aboukheir, M. Herrera, E. Iglesias, Oscar Camacho

引用次数: 1

A Proposal for Detecting Fraud in Drinking Water Consumption through Artificial Neural Networks 一种基于人工神经网络的饮用水消费欺诈检测方法

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2021-12-06 DOI: 10.1109/CHILECON54041.2021.9702930

Marco Lévano, Jaime Galeano, B. Peralta

{"title":"A Proposal for Detecting Fraud in Drinking Water Consumption through Artificial Neural Networks","authors":"Marco Lévano, Jaime Galeano, B. Peralta","doi":"10.1109/CHILECON54041.2021.9702930","DOIUrl":"https://doi.org/10.1109/CHILECON54041.2021.9702930","url":null,"abstract":"Water is an essential resource in any society, and it has become scarce according to the seasons. Therefore, an efficient administration is increasingly necessary. Drinking water management companies often have consumption losses due to fraudulent consumption by a group of users. Currently these frauds are detected through physical inspections, however it is possible that a user can avoid this detection. On the other hand, multiple studies show that the data contains common patterns in fraud cases. This work proposes the use of a neural network model capable of recommending, based on historical data, drinking water consumption services with a greater possibility of committing fraud within the commune of Lautaro, Chile. Our proposal considers reducing the operating costs associated with on-site inspections, increasing the probability of finding an infraction at the time of execution. By reducing the work associated with fraud analysis, we plan to optimize the man- hours of the process analysts. The evaluation of the predictive model indicates that the proposed model achieves a reduction of more than 60% of cases in relation to previous recent periods considering similar levels of fraud detection, which implies a reduction in operating costs. As future work, the use of recurrent neural networks will be explored, as well as the use of more user variables, in addition to the consumption history.","PeriodicalId":340976,"journal":{"name":"2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122026986","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

Mosquito larvae counting system in the natural environment using deep learning on images 在自然环境中使用深度学习对图像进行蚊子幼虫计数系统

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2021-12-06 DOI: 10.1109/CHILECON54041.2021.9703050

Marcos Gomez-Redondo, David Britez, D. Gregor, Carlos Llanes, Guillermo Bobadilla, Victor Gómez

{"title":"Mosquito larvae counting system in the natural environment using deep learning on images","authors":"Marcos Gomez-Redondo, David Britez, D. Gregor, Carlos Llanes, Guillermo Bobadilla, Victor Gómez","doi":"10.1109/CHILECON54041.2021.9703050","DOIUrl":"https://doi.org/10.1109/CHILECON54041.2021.9703050","url":null,"abstract":"It is known that some species of mosquitoes, from genera Aedes, Anopheles and Culex, have evolved to feed preferably from human beings and their life cycle occurs in urban areas. Gran Asuncion is an urban agglomerate that includes´ many cities around Asuncion, capital of Paraguay, which has an´ approximated population of 2.8M inhabitants from the 7.0M in the country, being the zone with the greatest population density of Paraguay, and so for mosquitoes population. This works consists of the development of a image acquisition system for obtaining images of larvae, and the training and test of a counting system using deep learning techniques. It has been obtained 976 images that have been labeled manually with boxes for further processing and different tensorflow2 models were trained in order to count the number of insects. The main contribution of this work is to offer images for data of the larvae in the region, obtained on field conditions, what is more, they have been tested with different models in order to validate the dataset. Results show the advantages and disadvantages of the different models taken into account. The model faster_rcnn_resnet101_v1_640×640 has been chosen for a detection system that will be implemented in the next stage, because it offers better results, given that all traning processes have already been done.","PeriodicalId":340976,"journal":{"name":"2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126812153","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

Academic perspective on the sustainable supply chain 可持续供应链的学术视角

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2021-12-06 DOI: 10.1109/CHILECON54041.2021.9703080

L. Banguera, Enrique Lucio, C. Durán, D. Fuentealba, José Hidalgo, R. Carrasco

引用次数: 0

The electric vehicle transition and the challenge of electric mobility in Paraguay 巴拉圭的电动汽车转型和电动交通的挑战

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2021-12-06 DOI: 10.1109/CHILECON54041.2021.9703061

G. Pereira, Arturo González, Richard Ríos

{"title":"The electric vehicle transition and the challenge of electric mobility in Paraguay","authors":"G. Pereira, Arturo González, Richard Ríos","doi":"10.1109/CHILECON54041.2021.9703061","DOIUrl":"https://doi.org/10.1109/CHILECON54041.2021.9703061","url":null,"abstract":"Paraguay is characterized by its clean and renewable energy generation, being one of the largest per capita hydropower producers in the world. Paradoxically, biomass and petroleum products are privileged as sources for final energy consumption. In the transport sector, the public fleet is old and mainly runs on imported gasoil, while the private fleet has increased rapidly in the last decade, putting under pressure the sustainability of the urban transport. In this study we make an overview of the transport sector in Paraguay, evaluating the main challenges of the country in the transition to the electric mobility. We propose an analysis of the evolution of the vehicle fleet, the energy consumption in the transport sector, the different norms and regulation for electric vehicles and the incentives to accelerate the transition to electric mobility. We propose to reinforce not only the economic and tax incentives for electric vehicles, but to work in the whole ecosystem of the electric mobility to accelerate the transition to a cleaner transport sector.","PeriodicalId":340976,"journal":{"name":"2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132374759","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

On the use of a residual convolutional neural networks and images derived from Poincaré-plots for the detection of atrial fibrillation 关于使用残差卷积神经网络和图像派生的庞加莱姆-图为心房颤动的检测

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2021-12-06 DOI: 10.1109/CHILECON54041.2021.9703049

Sam Jeong, Tiago Milagres Miranda, C. Itiki

引用次数: 1

Critical scenarios identification in power system simulations using graph measures and machine learning 利用图形测量和机器学习识别电力系统仿真中的关键场景

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2021-12-06 DOI: 10.1109/CHILECON54041.2021.9703001

Angie K. Reyes, Yamisleydi Salgueiro, M. Rivera, Jorge Camargo, Andrés Hernández, P. Wheeler

引用次数: 0

Machine Learning Analysis for Side-Channel Attacks over Elliptic Curve Cryptography 椭圆曲线密码侧信道攻击的机器学习分析

2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON) Pub Date : 2021-12-06 DOI: 10.1109/CHILECON54041.2021.9702996

Felipe Ignacio León Villegas, Claudio Valencia Cordero

引用次数: 0