2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)最新文献_第2页

Identification of joints and their positions 识别关节及其位置

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2019-11-01 DOI: 10.1109/ICMEAE.2019.00030

A. Ortega-Gonzalez, U. Robles-Cervantes, I.N. Espiritu-Lopez, M. Ibarra-Manzano

引用次数: 0

A novel electrothermal compliance microgripper 一种新型电热顺应微夹持器

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2019-11-01 DOI: 10.1109/ICMEAE.2019.00021

P. Vargas-Chable, C. A. Ferrara-Bello, J. O. Sandoval-Reyes, M. Tecpoyotl-Torres, J. Varona

引用次数: 3

NoC Performance Estimation Based on Queueing Theory for Real Scientific Applications 基于排队理论的NoC性能评估在实际科学应用中的应用

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2019-11-01 DOI: 10.1109/ICMEAE.2019.00036

Carlos A. Piedrahita-Velásquez, Gustavo Patiño, Juan Pablo Urrea Duque

{"title":"NoC Performance Estimation Based on Queueing Theory for Real Scientific Applications","authors":"Carlos A. Piedrahita-Velásquez, Gustavo Patiño, Juan Pablo Urrea Duque","doi":"10.1109/ICMEAE.2019.00036","DOIUrl":"https://doi.org/10.1109/ICMEAE.2019.00036","url":null,"abstract":"The estimation of performance metrics of a Network-on-Chip (NoC) is an increasingly important aspect of Multiprocessor System-on-Chip (MPSoC) design. As systems grow in number of components and features, the correct design of the Network-on-Chip has a central role in meeting the performance requirements of the system, because it is responsible for the efficient movement of data inside the MPSoC. In this paper a software tool called NoCSimulator which is based in queueing theory for the estimation of latency and throughput of a NoC is proposed. The contribution of this tool is its ability to generate stochastic traffic patterns based on real data traffic of scientific applications, not only synthetic traffic as similar tools reported in literature. This makes it possible to study NoC performance under real working conditions, which gives better insights about NoC behavior, and improves the design space exploration at early stages of system development. NoCSimulator was validated using two state-of-the-art cycle-accurate simulators (BookSim and Garnet). NoCSimulator, based in queueing theory, does not model hardware aspects of the NoC as a cycle-accurate simulator, so, long simulation times of complex systems can be avoided during design space exploration.","PeriodicalId":422872,"journal":{"name":"2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127625051","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 Comparison of Feature Extractors for Panorama Stitching in an Autonomous Car Architecture 自动驾驶汽车架构全景拼接特征提取器的比较

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2019-11-01 DOI: 10.1109/ICMEAE.2019.00017

Edgar Cortés-Gallardo, C. Moreno-García, Alfredo Zhu, Daniela. Chípuli-Silva, J. A. Gonzalez-Gonzalez, Domenico. Morales-Ortiz, Sebastian Fernandez, Bernardo. Urriza, Juan. Valverde-López, Arath Marín, Hugo Pérez, J. Izquierdo-Reyes, Rogelio Bustamante-Bello

{"title":"A Comparison of Feature Extractors for Panorama Stitching in an Autonomous Car Architecture","authors":"Edgar Cortés-Gallardo, C. Moreno-García, Alfredo Zhu, Daniela. Chípuli-Silva, J. A. Gonzalez-Gonzalez, Domenico. Morales-Ortiz, Sebastian Fernandez, Bernardo. Urriza, Juan. Valverde-López, Arath Marín, Hugo Pérez, J. Izquierdo-Reyes, Rogelio Bustamante-Bello","doi":"10.1109/ICMEAE.2019.00017","DOIUrl":"https://doi.org/10.1109/ICMEAE.2019.00017","url":null,"abstract":"Panorama stitching consists on frames being merged to create a 360° view. This technique is proposed for its implementation in autonomous vehicles instead of the use of an external 360-degree camera, mostly due to its reduced cost and improved aerodynamics. This strategy requires a fast and robust set of features to be extracted from the images obtained by the cameras located around the inside of the car, in order to effectively compute the panoramic view in real time and avoid hazards on the road. This paper compares and creates discussion of three feature extraction methods (i.e. SIFT, BRISK and SURF) for image feature extraction, in order to decide which one is more suitable for a panorama stitching application in an autonomous car architecture. Experimental validation shows that SURF exhibits an improved performance under a variety of image transformations, and thus appears to be the most suitable of these three methods, given its accuracy when comparing features between both images, while maintaining a low time consumption. Furthermore, a comparison of the results obtained with respect to similar work allows us to increase the reliability of our methodology and the reach of our conclusions.","PeriodicalId":422872,"journal":{"name":"2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115088989","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: 5

Toward a Mexican Sign Language System using Human Computer Interface 基于人机界面的墨西哥手语系统研究

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2019-11-01 DOI: 10.1109/ICMEAE.2019.00010

C.R. Estrivero-Chavez, M. A. Contreras-Teran, J.A. Miranda-Hernandez, J. Cardenas-Cornejo, M. Ibarra-Manzano, D. Almanza-Ojeda

引用次数: 1

Flexion Detection Algorithm’s Applied to Classifying Joint Movements Based on Fiber Sensors 弯曲检测算法在纤维传感器关节运动分类中的应用

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2019-11-01 DOI: 10.1109/ICMEAE.2019.00014

O. Almanza-Conejo, M. Ibarra-Manzano

引用次数: 0

Sensorless Field Oriented Control of BLDC motor based on Sliding Mode Observer 基于滑模观测器的无刷直流电机无传感器场定向控制

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2019-11-01 DOI: 10.1109/ICMEAE.2019.00029

O. Sandre-Hernández, P. Ordaz-Oliver, C. Cuvas-Castillo

引用次数: 3

A Live Emotions Predictor System Using Convolutional Neural Networks 使用卷积神经网络的实时情绪预测系统

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2019-11-01 DOI: 10.1109/ICMEAE.2019.00013

Alejandro Salinas-Medina, Humberto Poblano-Rosas, M. Bustamante-Bello, Luis A. Curiel-Ramirez, Sergio A. Navarro-Tuch, J. Izquierdo-Reyes

{"title":"A Live Emotions Predictor System Using Convolutional Neural Networks","authors":"Alejandro Salinas-Medina, Humberto Poblano-Rosas, M. Bustamante-Bello, Luis A. Curiel-Ramirez, Sergio A. Navarro-Tuch, J. Izquierdo-Reyes","doi":"10.1109/ICMEAE.2019.00013","DOIUrl":"https://doi.org/10.1109/ICMEAE.2019.00013","url":null,"abstract":"Facial expression recognition has been an active research area, with an increasing number of applications like avatar animation, cyber security, and neuromarketing. The use of neural networks and data science are having a strong growth in research centers and universities; the field of machine learning is booming because it is a strong tool and it has an immense amount of applications. The purpose of this paper is the development of a Live Emotions Predictor using Convolutional Neural Networks, this was developed in different sections, the part of data processing and its own training using a Convolutional Neural Network (CNN) that generates accurate and precise predictions of the 5 main emotions in a graphical way. For the processing part it is important to have data that can be trained, preprocessing, and thus be able to have better results. The data generated by iMotion® are CSV files and the first part was to be able to have a clean database for its training. In the training part, the challenge was to generate a sufficiently robust CNN so we can obtain highly reliable \"accuracy's\" (percentages greater than 88%), determining the main architecture and all its layers to obtain these results.","PeriodicalId":422872,"journal":{"name":"2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127468229","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

Design and 3D printed implementation of a microgripper actuated by a piezoelectric stack 由压电堆叠驱动的微夹持器的设计和3D打印实现

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2019-11-01 DOI: 10.1109/ICMEAE.2019.00019

C. A. Ferrara-Bello, J. O. Sandoval-Reyes, P. Vargas-Chable, M. Tecpoyotl-Torres, J. Varona

引用次数: 2

Autonomous Robotic Platform Training on Behavioral Cloning Neural Networks using ROS and VESC Project Resources 基于ROS和VESC项目资源的行为克隆神经网络自主机器人平台训练

2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE) Pub Date : 2019-11-01 DOI: 10.1109/ICMEAE.2019.00015

Bernardo A. Urriza-Arellano, Edgar Cortés-Gallardo, Rogelio Bustamante-Bello, Antonio C. Rivera-Corona, Areli Rodriguez-Tirado, Christian Tena-Padilla

{"title":"Autonomous Robotic Platform Training on Behavioral Cloning Neural Networks using ROS and VESC Project Resources","authors":"Bernardo A. Urriza-Arellano, Edgar Cortés-Gallardo, Rogelio Bustamante-Bello, Antonio C. Rivera-Corona, Areli Rodriguez-Tirado, Christian Tena-Padilla","doi":"10.1109/ICMEAE.2019.00015","DOIUrl":"https://doi.org/10.1109/ICMEAE.2019.00015","url":null,"abstract":"The endeavor on this paper aims to present a physical robotic platform with the main purpose of addressing the subject of autonomous mobility for both people and goods. The platform, which runs on ROS (Robot Operating System) and VESC Project resources, contains a basic implementation of a behavioral cloning deep neural network in order to achieve a certain level of autonomy, which will be further developed in a series of subsequent papers. Use cases for the autonomous platform are warehouse commodity management, medical material transportation in hospitals, airport luggage logistics and personal mobility for handicapped people. The progress landed in this regard goes in hand with self-driving cars, another key target use case for the proposed platform as test bench. Mobility tests are carried out to assert adequate physical operation, resulting in effective performance at up to 17km/h and secure current, voltage and temperature values for the brushless DC motors, battery and controllers. As for artificial intelligence testing, training accuracy for the neural network presents a value of 0.9536, whereas validation settles at 0.9481, which provides a confident trained model for later implementation.","PeriodicalId":422872,"journal":{"name":"2019 International Conference on Mechatronics, Electronics and Automotive Engineering (ICMEAE)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128529271","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