2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)最新文献_第6页

Uncertainty modeling of a PSS3B Power System Stabilizer PSS3B型电力系统稳定器的不确定性建模

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830605

Luis Adolfo Ordaz-Padilla, R. Peña-Gallardo, J. Morales-Saldaña, G. Gutiérrez-Urueta

引用次数: 5

On Korobov's admissible maximum principle 根据Korobov的可接受最大值原则

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830634

A. E. Choque-Rivero, Pedro Luis Cástulo Cruz

引用次数: 2

Analysis and synthesis Peaucellier mechanism 波塞利机构的分析与综合

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830579

J. Calderón, I. Juarez, J. Anzurez, D. Núñez, L. Márquez

引用次数: 1

Power plant fault monitoring using Recursive Principal Component Analysis RPCA 基于递归主成分分析的电厂故障监测

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830609

Alberto Sánchez, Mauricio Redrobán, Omar Aguirre

引用次数: 0

Guitar audio signal classification by collapsed Pitch Class Profile 吉他音频信号的分类通过折叠的音高类配置文件

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830637

Jose de Jesus Guerrero-Turrubiates, Sergio Ledesma, Sheila Esmeralda González-Reyna, G. Avina-Cervantes, Elisee Ilunga-Mbuyamba

引用次数: 2

Comparison of time series forecasting techniques with respect to tolerance to noise 时间序列预测技术对噪声容忍度的比较

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830618

J. Flores, F. Calderón, J. R. González, J. Ortiz, Rodrigo Lopez Farias

{"title":"Comparison of time series forecasting techniques with respect to tolerance to noise","authors":"J. Flores, F. Calderón, J. R. González, J. Ortiz, Rodrigo Lopez Farias","doi":"10.1109/ROPEC.2016.7830618","DOIUrl":"https://doi.org/10.1109/ROPEC.2016.7830618","url":null,"abstract":"Noise is ubiquitous in the production of time series; we cannot assume that our source data is clean, data is always (most of the time) contaminated with noise. Noise may come from different sources: measuring devices, transmission means, etc. This article presents an analysis and comparison of how the presence of noise affects different forecasting techniques. Since chaotic time series are the most difficult to predict, we base our study on this kind of time series. Furthermore, there exist several small mathematical models that exhibit chaotic behavior. We can produce clean data by integrating those models over time. We then add noise at different levels of Noise to Signal Ratios, and measure the performance of the models produced by different forecasting techniques. The forecasting techniques included in this comparison are Nearest Neighbors, Artificial Neural Networks, ARIMA, Fuzzy Neural Networks, and Nearest Neighbors combined with Differential Evolution. Among all of them, the technique that performs better and is less affected by noise is Nearest Neighbors combined with Differential Evolution.","PeriodicalId":166098,"journal":{"name":"2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"23 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":"125234547","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: 3

Trixel Indexer using B-Trees based on a random access file Trixel Indexer使用基于b树的随机访问文件

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830628

Bryan E. Martínez, J. M. Valencia, Jaime Cerda

引用次数: 0

IRIG-B decoder based on FPGA for synchronization in PMUs by considering different input formats 基于FPGA的IRIG-B解码器在考虑不同输入格式的情况下实现pmu的同步

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830639

J. R. Razo-Hernandez, M. Valtierra-Rodríguez, David Granados Lieberman, J. Amezquita-Sanchez, L. A. Morales-Hernández, A. Dominguez-Gonzalez

{"title":"IRIG-B decoder based on FPGA for synchronization in PMUs by considering different input formats","authors":"J. R. Razo-Hernandez, M. Valtierra-Rodríguez, David Granados Lieberman, J. Amezquita-Sanchez, L. A. Morales-Hernández, A. Dominguez-Gonzalez","doi":"10.1109/ROPEC.2016.7830639","DOIUrl":"https://doi.org/10.1109/ROPEC.2016.7830639","url":null,"abstract":"Time synchronization (TS) represents an important necessity for many industries in fields such as communications, manufacturing, and power systems related to electrical networks, microgrids, and renewable energies, among others, because it can ensure that cooperating processes or systems can interoperate correctly; further, the scheduling of specific tasks through a timestamp can be done. Among different synchronization protocols, the inter-range instrumentation group (IRIG)-B time code has become one of the most employed in real-time information transmission systems because of its accuracy, robustness, and simplicity. In this paper, a field programmable gate array (FPGA)-based IRIG-B decoder is presented. The FPGA used is a Cyclone IV EP4CE115F29; yet, the proposed hardware implementation has a vendor independency. On the other hand, the IRIG-B output is provided by a SEL-2401 Satellite-Synchronized Clock. Results show that the proposal can provide a reliable and accurate time source using the IRIG-B time code. Regarding the FPGA, a low resource usage of the chip is obtained; besides, thanks to its high capabilities of integration and parallelism, a widely number of applications can be incorporated.","PeriodicalId":166098,"journal":{"name":"2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"62 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":"132260820","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

XBee distance measurement through the log normal shadowing model XBee距离测量通过对数法向阴影模型

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830624

Enrique Sánchez Gutiérrez, Alejandro Cervantes Herrera, Guillermo Ramírez Prado

引用次数: 3

Image processing algorithm for improving the identification of patterns on Diptera wings 改进双翅目翅膀图案识别的图像处理算法

2016 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2016-11-01 DOI: 10.1109/ROPEC.2016.7830519

Alejandra Guerrón, D. Benítez, S. Zapata, D. Augot

引用次数: 5