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2016 IEEE Ecuador Technical Chapters Meeting (ETCM)最新文献

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EMR system synchronization EMR系统同步
Pub Date : 2016-10-01 DOI: 10.1109/ETCM.2016.7750865
R. Clotet, E. Hernández, M. Huerta
In Venezuela and other countries where it coexists public health system and a private one, we find a variety of organizations that present health services. Even though we have a strong public system, we often find that each health center uses different Electronic Medical Record systems, hindering data sharing for improved patient care. One of the strongest challenges for the integration of all databases in the health system is to have a system for synchronizing heterogeneous databases. In this article synchronization and data sharing mechanisms are proposed to achieve an integrated health system.
在委内瑞拉和其他公共卫生系统和私人卫生系统并存的国家,我们发现各种各样的组织提供卫生服务。尽管我们有一个强大的公共系统,但我们经常发现每个医疗中心使用不同的电子医疗记录系统,阻碍了数据共享以改善患者护理。在卫生系统中整合所有数据库的最大挑战之一是拥有一个同步异构数据库的系统。在本文中,提出了同步和数据共享机制,以实现一体化卫生系统。
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引用次数: 3
Human activity recognition from object interaction in domestic scenarios 家庭场景中基于对象交互的人类活动识别
Pub Date : 2016-10-01 DOI: 10.1109/ETCM.2016.7750844
Carlos Flores-Vazquez, Joan Aranda
This paper presents a real time approach to the recognition of human activity based on the interaction between people and objects in domestic settings, specifically in a kitchen. Regarding the procedure, it is based on capturing partial images where the activity takes place using a colour camera, and processing the images to recognize the present objects and their location. For object description and recognition, a histogram on rg chromaticity space has been selected. The interaction with the objects is classified into four types of possible actions; (unchanged, add, remove or move). Activities are defined as recipes, where objects play the role of ingredients, tools or substitutes. Sensed objects and actions are then used to analyze in real time the probability of the human activity performed at a particular moment in a continuous activity sequence.
本文提出了一种基于家庭环境中人与物体之间互动的实时识别人类活动的方法,特别是在厨房中。关于程序,它是基于使用彩色相机捕获活动发生的部分图像,并处理图像以识别当前物体及其位置。对于目标的描述和识别,选择了rg色度空间上的直方图。与对象的交互被分为四种可能的动作;(不变,增加,移除或移动)。活动被定义为食谱,其中对象扮演配料、工具或替代品的角色。然后,利用感知到的物体和动作来实时分析在连续活动序列的特定时刻执行人类活动的概率。
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引用次数: 0
Model predictive current control with neutral current elimination for H-bridge two-level active power filters h桥型二电平有源滤波器中性点电流消除模型预测电流控制
Pub Date : 2016-10-01 DOI: 10.1109/ETCM.2016.7857653
A. Renault, M. Riveray, L. Comparatore, J. Pacher, J. Rodas, R. Gregor
In this paper, a scheme for reactive power compensation and neutral current elimination based on model predictive control strategy is proposed. In this context, a H-bridge four-wire two-level active power filter is presented. The main feature of the proposed method focuses on the compensation of reactive power and neutral current elimination for unbalanced load in order to improve the power factor. This approach predicts the future behavior of the control actions considering all possible switching states. The proposed method selects the optimal switching vector by using an optimization process considering a defined cost function. The effectiveness of the proposed control approach is evaluated through simulations.
提出了一种基于模型预测控制策略的无功补偿和中性点电流消除方案。在这种情况下,提出了一种h桥四线双电平有源电力滤波器。该方法的主要特点是对不平衡负载进行无功补偿和中性电流消除,以提高功率因数。这种方法预测了考虑所有可能切换状态的控制动作的未来行为。该方法通过考虑定义的代价函数的优化过程来选择最优切换向量。通过仿真验证了所提控制方法的有效性。
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引用次数: 7
LQI controllers for a ladder converter modeled by generalized equivalent continuous model 采用广义等效连续模型建模的梯形变换器LQI控制器
Pub Date : 2016-10-01 DOI: 10.1109/ETCM.2016.7750854
Miguel Vivert, D. Patiño, G. Becerra, R. Díez
This article presents a study of a design of four controllers to a ladder converter modeled by the generalized equivalent continuous model. Two controllers are designed minimizing the energy of the input and minimizing the states; and the other two controllers are designed minimizing the changes in the input, and the states. Also, the article shows a Kalman filter with shaping noise filter to estimate the states of the system. The use of a Kalman filter with shaping noise filter is necessary because the output voltage presents a high ripple. The shaping noise filter is designed with the three highest harmonics components of the output voltage. The article shows the simulation results of the controllers with changes in the voltage reference, disturbance in the input voltage, and changes in the load.
本文研究了用广义等效连续模型建模的梯形变换器的四控制器设计。设计了两个最小化输入能量和最小化状态的控制器;另外两个控制器的设计是最小化输入和状态的变化。此外,本文还提出了一种带有整形噪声滤波器的卡尔曼滤波器来估计系统的状态。使用卡尔曼滤波器与整形噪声滤波器是必要的,因为输出电压呈现高纹波。整形噪声滤波器是利用输出电压的三个最高次谐波分量设计的。文中给出了参考电压变化、输入电压扰动和负载变化情况下控制器的仿真结果。
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引用次数: 0
OPC-UA communications integration using a CPPS architecture 使用CPPS架构的OPC-UA通信集成
Pub Date : 2016-10-01 DOI: 10.1109/ETCM.2016.7750838
Marcelo V. García, E. Irisarri, F. Pérez, E. Estévez, M. Marcos
Low Cost Automation promotes cost effective reference architectures and development approaches to increase flexibility and efficiency of production operations. This has led to the adoption of open networking standards for plant floor communications. OPC-UA may help industrial companies to become Industry 4.0 or Smart Manufacturing as it enables remote access to plant information, achieving thus horizontal and vertical integration. The main goal of this work is to make vertical integration a reality by means of a low-cost CPPS architecture that provide access to process data. The use of this architecture along the whole production automation system may certainly reduce the Total Cost of Ownership (TCO). The paper describes both the hardware platform as well as the software including the proposed configuration file of the OPC-UA server.
低成本自动化促进了具有成本效益的参考架构和开发方法,以提高生产操作的灵活性和效率。这导致工厂车间通信采用开放网络标准。OPC-UA可以帮助工业公司成为工业4.0或智能制造,因为它可以远程访问工厂信息,从而实现水平和垂直集成。这项工作的主要目标是通过提供对过程数据的访问的低成本CPPS架构实现垂直集成。在整个生产自动化系统中使用这种体系结构肯定会降低总拥有成本(TCO)。本文介绍了OPC-UA服务器的硬件平台和软件,并提出了OPC-UA服务器的配置文件。
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引用次数: 35
Human-sitting-pose detection using data classification and dimensionality reduction 基于数据分类和降维的人体坐姿检测
Pub Date : 2016-10-01 DOI: 10.1109/ETCM.2016.7750822
Santiago Nunez-Godoy, Vanessa E. Alvear-Puertas, Staling Realpe-Godoy, Edwin Pujota-Cuascota, Henry Farinango-Endara, Iván Navarrete-Insuasti, Franklin Vaca-Chapi, P. Rosero-Montalvo, D. Peluffo
The research area of sitting-pose analysis allows for preventing a range of physical health problems mainly physical. Despite that different systems have been proposed for sitting-pose detection, some open issues are still to be dealt with, such as: Cost, computational load, accuracy, portability, and among others. In this work, we present an alternative approach based on a sensor network to acquire the position-related variables and machine learning techniques, namely dimensionality reduction (DR) and classification. Since the information acquired by sensors is high-dimensional and therefore it might not be saved into embedded system memory, a DR stage based on principal component analysis (PCA) is performed. Subsequently, the automatic posed detection is carried out by the k-nearest neighbors (KNN) classifier. As a result, regarding using the whole data set, the computational cost is decreased by 33 % as well as the data reading is reduced by 10 ms. Then, sitting-pose detection task takes 26 ms, and reaches 75% of accuracy in a 4-trial experiment.
坐姿分析的研究领域可以预防一系列身体健康问题,主要是身体健康问题。尽管已经提出了不同的坐姿检测系统,但仍有一些开放性问题需要解决,例如:成本、计算负荷、准确性、可移植性等。在这项工作中,我们提出了一种基于传感器网络的替代方法来获取位置相关变量和机器学习技术,即降维(DR)和分类。由于传感器获取的信息是高维的,因此可能无法保存到嵌入式系统内存中,因此进行了基于主成分分析(PCA)的DR阶段。随后,利用k近邻(KNN)分类器进行自动姿态检测。结果,在使用整个数据集的情况下,计算成本降低了33%,数据读取时间减少了10毫秒。然后,坐姿检测任务耗时26 ms,在4次试验中准确率达到75%。
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引用次数: 16
Energy wideband spectrum sensing based on SubNyquist sampling and second order statistics 基于SubNyquist采样和二阶统计量的能量宽带频谱传感
Pub Date : 2016-10-01 DOI: 10.1109/ETCM.2016.7750834
E. Astaiza, Pablo E. Jojoa, Francisco Novillo
In this paper, a novel wideband spectrum sensing algorithm based on Compressive Sensing (CS) and reconstruction of second order signal statistics from covariance matrix of the acquired samples for Cognitive Radio (CR) systems is presented. This allows cognitive users to sense the spectrum without apriori knowledge of signal characteristics in the radio environment by minimizing the amount of samples to be processed. Simulation results show that the proposed algorithm allows to sense the spectrum efficiently, improving the performance in terms of detection probability, false alarm probability and miss detection probability regarding previously proposed algorithms.
提出了一种基于压缩感知(CS)和从采集样本协方差矩阵重构二阶信号统计量的认知无线电(CR)系统宽带频谱感知算法。这允许认知用户通过最小化待处理的样品量来感知频谱,而无需对无线电环境中的信号特性有先验知识。仿真结果表明,本文提出的算法能够有效地感知频谱,在检测概率、虚警概率和漏检概率方面都比以往提出的算法有所提高。
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引用次数: 1
Implementing a Gamified application for a Risk Management course 实现风险管理课程的游戏化应用程序
Pub Date : 2016-10-01 DOI: 10.1109/ETCM.2016.7750858
Lohana Lema Moreta, Antonio Cevallos Gamboa, Maria Gabriela Palacios
Gamification is a technique that, through the use of game elements, encourages users to learn and create opportunities to explore issues that necessarily must be approached from a theoretical perspective. For example, theories related to risk management. This work implements a proposal of a Gamified Web Application to strengthen the teaching of risk management. The building of the application focuses particularly on the stages of identification, analysis and mitigation of risks in technological projects. The findings of this study shows, through the use of decision tree, why Gamification is a suitable framework for the issues raised in comparison with other game based learning techniques. In addition to the theoretical contribution, the study provides an implementation of a web application, built according to Gamification Framework 6D. The application can be used to teach risk management and for future experimentation use to prove the effectiveness of Gamification in contrast to a traditional teaching method.
游戏化是一种技术,通过使用游戏元素,鼓励用户学习并创造机会探索必须从理论角度处理的问题。例如,风险管理相关的理论。本文提出了一个游戏化的Web应用程序来加强风险管理的教学。应用程序的构建特别侧重于技术项目中识别、分析和减轻风险的各个阶段。本研究的结果表明,通过使用决策树,为什么与其他基于游戏的学习技术相比,游戏化是解决问题的合适框架。除了理论贡献之外,该研究还提供了一个根据游戏化框架6D构建的web应用程序的实现。该应用程序可用于教授风险管理,并用于未来的实验,以证明与传统教学方法相比,游戏化的有效性。
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引用次数: 6
Analytical strategy to achieve optimized grating couplers with high precision for both TE and TM polarizations on SOI platform 在SOI平台上实现高精度TE偏振和TM偏振优化光栅耦合器的分析策略
Pub Date : 2016-10-01 DOI: 10.1109/ETCM.2016.7750855
Roberto Alejandro Larrea-Luzuriaga, A. Gutiérrez, P. Sanchis
Diffraction elements are periodic structures that whose performance is based on the light diffraction principle. One application of this structure the are grating couplers which consist in coupling light on or off plane between two propagation means, in our case between a subwavelength waveguide and a single mode fiber optic. Optimized gratings are required to ensure a maximum coupling efficiency. Gratings on silicon on insulator (SOI) platform can be optimized in a few steps analyzing its behavior and linking some structure parameters. But advanced computational calculations and algorithms are used to optimize its design. Period and fill-factor are essential parameters in the optimization. In this paper, several analytical expressions based on the fundamental grating equation are proposed to accurately obtain the optimal period and fill-factor for a polarization transversal-electric and starting with the optimal values for this polarization get analytically the optimal parameters for polarization transversal-magnetic through a relation between both polarizations, avoiding simulation time.
衍射元件是基于光衍射原理的周期性结构。这种结构的一个应用是光栅耦合器,它包括在两个传播方式之间的平面上或平面外耦合光,在我们的情况下,在亚波长波导和单模光纤之间。为了保证最大的耦合效率,需要优化光栅。通过对绝缘体硅(SOI)平台上的光栅进行性能分析和结构参数连接,可以实现对其结构的优化。但先进的计算计算和算法被用于优化其设计。周期和填充因子是优化过程中必不可少的参数。本文在基本光栅方程的基础上,提出了几种解析表达式,以精确求得横向电极化的最优周期和填充因子,并从横向电极化的最优值出发,通过两极化之间的关系解析得到横向磁极化的最优参数,避免了仿真时间。
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引用次数: 2
Compress sensing for wireless sensor networks using gossip pairwise algorithm and optimization algorithms 无线传感器网络压缩感知采用八卦配对算法和优化算法
Pub Date : 2016-10-01 DOI: 10.1109/ETCM.2016.7750847
Juan Martinez, José Mejía, B. Mederos
For retrieving information in a wireless sensor network (WSN) from any node, each node must know the status of the entire network, leading to a high cost of energy in communication and information storage. In this paper, we evaluated a recovery method to request information from any node of a WSN with the use of compress sensing to compact the data to be stored and transmitted, and the use of a gossip pairwise algorithm to determine the network status. To recover the compressed information, two optimization algorithms are proposed and tested for convergence errors.
在无线传感器网络中,要从任意节点获取信息,每个节点都必须知道整个网络的状态,这导致通信和信息存储的能量成本很高。在本文中,我们评估了一种从WSN的任意节点请求信息的恢复方法,该方法使用压缩感知来压缩待存储和传输的数据,并使用八卦配对算法来确定网络状态。为了恢复压缩后的信息,提出了两种优化算法,并对收敛误差进行了测试。
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引用次数: 3
期刊
2016 IEEE Ecuador Technical Chapters Meeting (ETCM)
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