2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)最新文献_第5页

Detection and classification of intra boby acoustic wave signals for wearable applications 用于可穿戴应用的体内声波信号的检测和分类

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830587

Hector R. Moncada-Gonzalez, R. Aguilar-Ponce, J. L. Tecpanecatl-Xihuitl, P. López-Meyer, J. R. Camacho-Perez, J. Zamora-Esquivel, H. Cordourier‐Maruri, Alejandro Ibarra Von Borstel

{"title":"Detection and classification of intra boby acoustic wave signals for wearable applications","authors":"Hector R. Moncada-Gonzalez, R. Aguilar-Ponce, J. L. Tecpanecatl-Xihuitl, P. López-Meyer, J. R. Camacho-Perez, J. Zamora-Esquivel, H. Cordourier‐Maruri, Alejandro Ibarra Von Borstel","doi":"10.1109/ROPEC.2016.7830587","DOIUrl":"https://doi.org/10.1109/ROPEC.2016.7830587","url":null,"abstract":"Wearable Devices (WD) are systems designed to do a specific task, these system are embedded in daily life personal objects. Usual transducers in wearable devices involve accelerometers gyroscopes, cameras etc. In WD is required to design efficiently in terms of power. Therefore, a new trend incorporates acoustic transducer that does not need a power supply to sense. They are very cheap and easy to replace. In WD, these transducers detect acoustic wave signals traveling in human tissue and bones. The processing of these kind of signals is related with many areas such as medical, gesture recognition, haptics etc. The proposed system uses a set of three sensors to capture Intra Body Acoustic Wave Signals (IBAWS) from the wrist of the right hand. A signal database is constructed using 18 users repeating 30 times each one of five gestures proposed. The patterns are composed by six features per sensor, including Spectral Flux, Spectral Centroid and Short Time Energy. Complete proposed patterns contains 18 features. Classifiers results shown 75.37% of accuracy using Bayesian classifier with Gaussian Kernel, 80% of accuracy using Knn classifier, and 85.56% of accuracy with Artificial Neural Networks. All this for a set of 18 users, supporting the hypothesis that classify IBAWS is independent from the user and could be generalized to use them in WD.","PeriodicalId":166098,"journal":{"name":"2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128529431","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

Wind tunnel design: Generation and control of turbulences 风洞设计:紊流的产生与控制

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830627

A. Tinoco, R. T. Sánchez, M. Galindo

引用次数: 0

FPGA realization of RF-PA models with memory effects based on ANFIS 基于ANFIS的具有记忆效应的RF-PA模型的FPGA实现

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830638

J. Nuñez-Perez, J.A. Sillas-Luna, J. R. C. Valdez, J. A. Galaviz-Aguilar, E. T. Cuautle, C. E. Vázquez-López, L. Trujillo-Reyes

{"title":"FPGA realization of RF-PA models with memory effects based on ANFIS","authors":"J. Nuñez-Perez, J.A. Sillas-Luna, J. R. C. Valdez, J. A. Galaviz-Aguilar, E. T. Cuautle, C. E. Vázquez-López, L. Trujillo-Reyes","doi":"10.1109/ROPEC.2016.7830638","DOIUrl":"https://doi.org/10.1109/ROPEC.2016.7830638","url":null,"abstract":"This article presents an adaptive approach system to model the RF power amplifier behavior, taking into account memory effects and nonlinearities. These models are based in an offline training by applying an ANFIS, additionally the model performance is compared with a MPM traditional technique. The ANFIS using 10 or more epochs achieves a lower NMSE. The evaluation of the proposed ANFIS learning system is conducted into an experimental testbed based in a DSP/FPGA hardware implementation, using DSP-Builder tool. A graphical interface developed allows the use of the test bed in a flexible solution, which is able to emulate in a digitally chain three different RF power amplifier behaviors from input-output data extracted, providing the AM-AM and AM-PM distortion curves. The modeling based on ANFIS demonstrates a suitable performance through a reduced NMSE, and an adequate hardware resources utilization. Finally, the obtained results and the experimental testbed enables an entire tool for a further application of power amplifier linearization. Finally, the obtained results and the experimental testbed offers an entire digital tool for a further application on power amplifier linearization.","PeriodicalId":166098,"journal":{"name":"2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121959759","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: 2

Algorithm based on microntroller for high speed protection in compensated transmission line 基于微控制器的补偿输电线路高速保护算法

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830643

E. Reyes-Archundia, C. Cardoso-Isidoro, J. Gutiérrez-Gnecchi, G. M. Chávez-Campos, J. Correa-Gómez

引用次数: 4

Statistical model for an energy harvesting system in human powered applications 人力能源收集系统的统计模型

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830645

Oscar Lobato-Nostroza, G. M. Chávez-Campos, R. Lara-Hernández, Claudia V. Bazán-Rodríguez

引用次数: 0

High-boost, resonant-type DC-DC converters at power interfaces for interconnecting DC generation to AC main grids 用于直流发电与交流主电网互连的电源接口上的高升压谐振型DC-DC转换器

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830576

O. Miguel-Sánchez, G. A. Anaya-Ruiz, L. Zuñiga-García, L. E. Ugalde-Caballero, E. Moreno-Goytia, V. Venegas-Rebollar

引用次数: 1

Development of a breathalyzer for car drivers 汽车驾驶员酒精测试仪的研制

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830528

L. M. Barba-Maza, C. Sánchez-López

引用次数: 3

Numerical simulation in 3D of a thermoelectrical system by ohmic heating 欧姆加热热电系统的三维数值模拟

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830642

S. A. Arreola-Villa, G. Solorio‐Diaz, H. Vergara-Hernández, Mario Ibañez Olvera, I. Aguilera-Navarrete, J. A. Salazar-Torres, O. Vázquez–Gómez

引用次数: 2

The national multi-island smart energy system in Philippines 菲律宾国家多岛智能能源系统

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830578

Zheng Ma, Joy Billanes, B. Jørgensen

引用次数: 3

Design and testing of Toroidal Coil for induction water heater 感应热水器用环形线圈的设计与试验

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830523

Luis F. Quevedo, César G. Mancheno, J. Morales, F. Quizhpi

引用次数: 4