2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)最新文献_第5页

An adaptive symbolic discretization scheme for the classification of temporal datasets using NSGA-II 基于NSGA-II的时间数据集自适应符号离散化分类方案

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261674

Aldo Márquez-Grajales, H. Acosta-Mesa, E. Mezura-Montes

{"title":"An adaptive symbolic discretization scheme for the classification of temporal datasets using NSGA-II","authors":"Aldo Márquez-Grajales, H. Acosta-Mesa, E. Mezura-Montes","doi":"10.1109/ROPEC.2017.8261674","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261674","url":null,"abstract":"In this work, an adaptive algorithm for the symbolic discretization of time series is introduced. This approach, called MODiTS, consists of defining a different alphabet vector for each word segment. The number of alphabets and the word size are optimized automatically using a well-known multi-objective algorithm: Non-dominated Sorting Genetic Algorithm (NSGA-II). NSGA-II was adapted to help find the appropriate symbolic representation scheme for each temporal database based on the minimization of three objective functions (Entropy, Complexity, and Compression). Each scheme was evaluated based on the misclassification error rate calculated by means of the Decision Tree, which also provides relevant information about the regions, relationships or patterns within each database, in addition to its function as a descriptive tool to help understand temporal data. Our proposal was compared with two symbolic discretization algorithms: Symbolic Aggregate approximation (SAX), and Evolutionary Programming (EP). The statistical results suggest that our algorithm is a useful tool in finding competitive symbolic representation schemes with a lower dimensionality reduction rate and an acceptable level of classification error.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124466284","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

Micro grid laboratory as a tool for research on non-conventional energy sources in Ecuador 微电网实验室作为厄瓜多尔非常规能源研究的工具

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261615

J. Espinoza, L. González, Rodrigo E. Sempertegui

引用次数: 34

Techno-economic evaluation of a grid-connected hybrid PV-wind power generation system in San Luis Potosi, Mexico 墨西哥圣路易斯波托西并网光伏-风力混合发电系统技术经济评价

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261656

Adalberto Ospino-Castro, R. Peña-Gallardo, Aurelio Hernández- Rodríguez, J. Segundo-Ramírez, Y. Muñoz-Maldonado

引用次数: 6

Load-side DVR based on matrix converter for deep voltage sags compensation 基于矩阵变换器的负载侧DVR深电压跌落补偿

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261676

L. R. Merchan-Villalba, C. A. Carreño-meneses, A. Pizano-Martinez, E. Zamora-Cardenas, X. González-Ramírez, J. M. Lozano-García

引用次数: 3

Structural analysis and fault detection on manufacturing systems: A complex network approach 制造系统的结构分析与故障检测:一种复杂网络方法

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261590

Juan Reyes-Luévano, E. Ruiz-Beltrán, L. A. Castañeda-Ramos, J. Orozco-Mora

引用次数: 3

Homogeneity-based approach for bearing fault detection in induction motors by means of vibrations 基于振动的异步电动机轴承故障检测方法

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261624

C. Perez-Ramirez, Martin Valtierra- Rodriguez, A. Dominguez-Gonzalez, J. Amezquita-Sanchez, D. Camarena-Martinez, R. J. R. Troncoso

{"title":"Homogeneity-based approach for bearing fault detection in induction motors by means of vibrations","authors":"C. Perez-Ramirez, Martin Valtierra- Rodriguez, A. Dominguez-Gonzalez, J. Amezquita-Sanchez, D. Camarena-Martinez, R. J. R. Troncoso","doi":"10.1109/ROPEC.2017.8261624","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261624","url":null,"abstract":"Electrical machines, in particular induction motors (IM), are important parts in an industrial plant, representing an 89% of power consumption. Bearings are important parts of the induction motors and one of the principal causes of their malfunction; hence, bearing fault early detection is very important, however its detection is a challenging because the measured signals are acquired in noisy conditions and have transient characteristics. Hence, a system to detect the potential faults into bearings of rotatory machinery in their early stage can have a potential benefit in industry. In this work, a novel proposal that makes use of the homogeneity (HO) algorithm for the bearing defect, in particular the outer race (OBD), detection is presented. The HO method is introduced for the first time to detect the changes produced in the normal regime (steady-state) vibration signals of an IM by the OBD. These signals can contain subtle modifications on motor dynamic features due to the fault presence. The presented results show the proposed methodology is capable of distinguishing between a motor with OBD and a healthy motor with a high efficiency.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127714554","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

I3GO+ at RICATIM 2017: A semi-supervised approach to determine the relevance between images and text-annotations I3GO+在RICATIM 2017:一种半监督的方法来确定图像和文本注释之间的相关性

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261691

José Ortiz-Bejar, Eric Sadit Tellez, Mario Graff, Sabino Miranda-Jiménez, Jesus Ortiz-Bejar, Daniela Moctezuma, Claudia N. Sánchez

{"title":"I3GO+ at RICATIM 2017: A semi-supervised approach to determine the relevance between images and text-annotations","authors":"José Ortiz-Bejar, Eric Sadit Tellez, Mario Graff, Sabino Miranda-Jiménez, Jesus Ortiz-Bejar, Daniela Moctezuma, Claudia N. Sánchez","doi":"10.1109/ROPEC.2017.8261691","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261691","url":null,"abstract":"In this manuscript, we describe our solution for the RedICA Text-Image Matching (RICATIM) challenge. This challenge aims to tackle the image-text matching problem as one of binary classification, that is, given an image-text pair. Therefore, a valid solution must determine if the relation between the image and text is valid. The RICATIM dataset contains a large number of examples that were used to create an algorithm that effectively learns the underlying relations. Vision and language classifiers must deal with high dimensional data; therefore, traditional classification methods increase their learning time and also tend to perform poorly. To tackle the RICATIM challenge, we introduce a novelty approach that improves the classification based on k-nearest neighbor (KNN) classifier. Our proposal relies on the solution of the k centers problem using the Farthest First Traversal algorithm, along with a kernel function. We use those techniques to reduce the dimension effectively while improving the performance of the KNN classifiers. We provide an experimental comparison of our approach showing a significant improvement of state of the art.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128071433","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

A maximum power point control scheme applied to a noncascading dc-dc converter for a PV system 应用于光伏系统非级联dc-dc变换器的最大功率点控制方案

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261631

Orlando I. Hernández-Cortéz, R. Loera-Palomo, Michel Alejandro Rivero-Corona, J. Morales-Saldaña

引用次数: 1

Robust glucose control via μ-synthesis in type 1 diabetes mellitus 1型糖尿病患者通过μ-合成实现强有力的葡萄糖控制

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261671

Jonatan Morales-Contreras, E. Ruiz‐Velázquez, J. García-Rodríguez

{"title":"Robust glucose control via μ-synthesis in type 1 diabetes mellitus","authors":"Jonatan Morales-Contreras, E. Ruiz‐Velázquez, J. García-Rodríguez","doi":"10.1109/ROPEC.2017.8261671","DOIUrl":"https://doi.org/10.1109/ROPEC.2017.8261671","url":null,"abstract":"Diabetes Mellitus (DM) is a disease which afflicts a large group of the world population. It affects people from any socio-economic status, physical characteristics, age or gender. This pathology is a major public health problem and it has been focused as a disease requiring priority attention. In this way, the idea of an artificial pancreas has become one of the areas of research for multiple disciplines because it offers a promising approach for Type 1 Diabetes Mellitus (T1DM) treatment. The aim of this artificial pancreas is to reduce disease complications despite the variability of internal and external body conditions. This variability can be treated as parametric perturbations or uncertainties. In this contribution a sensitivity analysis is performed on the mathematical model that represents a T1DM subject, resulting in six parameters as the most representative to characterize parametric uncertainty. The work is focused on the synthesis of a robust controller using the μ-synthesis technique in order to obtain a glycemic controller for a subject with T1DM. Moreover, a new transfer function Ps was identified in order to describe the characteristics of the TheraSense FreeStyle Navigator glucose sensor. This last was employed in controller design. The performance of this controller was tested in the well-known UVa/Padova simulator.","PeriodicalId":260469,"journal":{"name":"2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126794642","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: 6

On the use of 3D printing technology towards the development of a low-cost robotic prosthetic arm 介绍了利用3D打印技术朝着低成本机器人假肢手臂的方向发展

2017 IEEE International Autumn Meeting on Power, Electronics and Computing (ROPEC) Pub Date : 2017-11-01 DOI: 10.1109/ROPEC.2017.8261579

Alejandro Cañizares, Jean Pazos, D. Benítez

引用次数: 20