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2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON)最新文献

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Modeling the nonlinear behavior of glucose by using the nonlinear step-functions 用非线性阶跃函数模拟葡萄糖的非线性行为
H. Nieto-Chaupis
From a sample of 20 type 2 diabetes patients with evidence of exhibiting nonlinear behavior of glucose, we have proposed a mathematical model based on the convolution of the so-called step-function and a full nonlinear function. For this end, we have performed successive measurements of glucose in order to construct the histograms as function of time. With this statistics we have applied a 5-parameters fitting in order to identify the parameters characterized with a high sensitivity on the morphology of the curves of glucose. Data have exhibited abnormal behavior in their glucose's evolution for a period of 60 days. Thus, we have identified the curve pattern so that a 5-parameters fitting was performed. The fit function has turned out to have the morphology of the so-called step-function roughly. However, data exhibits also disturbs which can be attributed to the patient's behavior mainly related to their alimentary habits or others psychological factors. Under the assumption that the patients are exhibiting a certain unpredictable policy of alimentary habits and are not following a strict policy of pharmacology, the model has yielded predictions in a confidence of order of 85% ± 10%, where at least one of 5 patients of the sample (20 patients) might acquire a disorder in their glucose's evolutions for subsequent 10 weeks.
从20例2型糖尿病患者的样本中,有证据表明葡萄糖表现出非线性行为,我们提出了一个基于所谓的阶梯函数和全非线性函数卷积的数学模型。为此,我们对葡萄糖进行了连续测量,以构建作为时间函数的直方图。有了这些统计数据,我们应用了5参数拟合,以确定葡萄糖曲线形态上具有高灵敏度的参数。数据显示,在60天的时间里,他们的葡萄糖进化出现了异常行为。因此,我们已经确定了曲线模式,以便执行5参数拟合。拟合函数大致具有所谓阶梯函数的形态。然而,也有数据显示,患者的行为主要与他们的饮食习惯或其他心理因素有关。在假设患者表现出某种不可预测的饮食习惯政策,并且没有遵循严格的药理学政策的情况下,该模型得出的预测置信度为85%±10%,其中样本(20例患者)中5例患者中至少有1例可能在随后的10周内获得葡萄糖进化紊乱。
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引用次数: 1
General nyquist-I pulses to mitigate carrier frequency offset in DVB-C-OFDM systems 在DVB-C-OFDM系统中减小载波频率偏移的通用nyquist-I脉冲
David Zabala-Blanco, G. Campuzano, César A. Azurdia-Meza
It is well known that the performance of orthogonal frequency division multiplexing is highly sensitive to frequency offset. In this paper, we present theoretical results to assess the intercarrier interference reduction using general pulse shaping filters in digital video broadcasting over cable (DVB-C) systems. These pulses are characterized by only one design parameter, known as the roll-off factor. We found that for the DVB standard, which employs a raised cosine (RC) function, double-jump 1 (DJ1) filter outperforms the RC pulse as well as the rest of pulses in terms of both the bit error rate and the signal-to-interference ratio power. This is because the DJ1 pulse spectra presents the smallest lateral lobes and a broad main lobe.
众所周知,正交频分复用的性能对频偏非常敏感。在本文中,我们提出了在有线数字视频广播(DVB-C)系统中使用一般脉冲整形滤波器来评估载波间干扰减少的理论结果。这些脉冲的特征只有一个设计参数,即滚转系数。我们发现,对于采用提升余弦(RC)函数的DVB标准,双跳1 (DJ1)滤波器在误码率和信干扰比功率方面优于RC脉冲以及其他脉冲。这是因为DJ1脉冲谱表现出最小的侧瓣和较宽的主瓣。
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引用次数: 7
Hydra - A DNP3 multiplexing platform for SCADA system switchover Hydra -用于SCADA系统切换的DNP3多路复用平台
J. Zeceña, Vivian Lucía Orozco Molina
Supervisory Control and Data Acquisition (SCADA) systems are used in many industries, particularly in the control of nationwide electric grids. These systems may by law, technical obsolescence, or failure, need to be replaced by newer ones. However, the testing and handing over of functions from the old SCADA to the new one (i.e., switchover) has to be done with minimum risk and maximum continuity of operations. Several vendors offer partial solutions to this problem, but they usually imply downtime or incomplete testing. We have developed a communications multiplexing system, Hydra, that allows for several Master Terminal Units (MTU) to poll telemetry data from the same set of Remote Terminal Units (RTU) using the DNP3 over TCP/IP protocol without requiring their reconfiguration. This system multiplexes DNP3 traffic so that MTUs share access to the same network of RTUs which allows for complete testing of functionality prior to commissioning with virtually no downtime, therefore addressing the main issues of concern when transitioning between SCADA systems. This paper deals with the motivation, architecture and implementation of Hydra.
监控和数据采集(SCADA)系统用于许多行业,特别是在全国电网的控制中。这些系统可能由于法律、技术过时或故障而需要被更新的系统所取代。但是,从旧的SCADA到新的SCADA的测试和功能移交(即切换)必须以最小的风险和最大的操作连续性来完成。一些供应商提供了这个问题的部分解决方案,但它们通常意味着停机或不完整的测试。我们开发了一个通信多路复用系统Hydra,该系统允许多个主终端单元(MTU)使用TCP/IP协议上的DNP3轮询来自同一组远程终端单元(RTU)的遥测数据,而无需重新配置。该系统对DNP3流量进行多路复用,使mtu共享对rtu相同网络的访问,从而在调试之前完成功能测试,几乎没有停机时间,因此解决了SCADA系统之间转换时关注的主要问题。本文讨论了Hydra的动机、架构和实现。
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引用次数: 2
Water quality monitoring of Peruvian Amazon based in the Internet of Things 基于物联网的秘鲁亚马逊河水质监测
Ricardo Yauri, M. Rios, J. Lezama
This paper presents a water quality monitoring system using low power hardware based in the Internet of Things. Six sensor nodes for water quality monitoring in pisciculture are installed in three region of the Peruvian amazon. The sensor node is a modular hardware composed by control, communication and sensor module that measure parameters such as pH, conductivity and temperature. All data information is managed by software platform designed using open source tools, data information allows to control water pollution and their effect in the pisciculture. Data acquired is used by the researchers of the Instituto de Investigaciones de la Amazonía Peruana to study the health and growing population of paiche fish.
提出了一种基于物联网的低功耗硬件水质监测系统。在秘鲁亚马逊河的三个地区安装了六个用于养鱼水质监测的传感器节点。传感器节点是由控制、通信和传感器模块组成的模块化硬件,用于测量pH、电导率、温度等参数。所有数据信息均由开源工具设计的软件平台管理,数据信息允许控制水污染及其对养鱼的影响。Amazonía秘鲁调查研究所的研究人员利用所获得的数据来研究巴切鱼的健康状况和不断增长的种群。
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引用次数: 5
Citizen criminality assessment in lima city using the grey clustering method 利马市公民犯罪评估之灰色聚类方法
Alexi Delgado
Citizen criminality has become an important social problem in Lima city, due to the fact that the number of crimes has increased. In this study, we conducted a citizen criminality assessment using the grey clustering method, which is based on grey systems theory. The case study was conducted on 32 districts from Lima, Peru. Consequently, a map on the citizen criminality situation was obtained. The results revealed that the more insecure districts were San Juan de Lurigancho, Los Olivos, and Cercado de Lima; and the less insecure districts were Ancón, Surquillo, and Lince. The study results could help to the central and district government to make the best decision on the citizen criminality problem. The grey clustering method showed interesting results and could be applied to other social problems, as this method considers the uncertainty within its analysis.
由于犯罪数量的增加,公民犯罪已经成为利马市一个重要的社会问题。本研究以灰色系统理论为基础,运用灰色聚类方法进行公民犯罪评估。案例研究是在秘鲁利马的32个地区进行的。因此,获得了关于公民犯罪情况的地图。结果显示,最不安全的地区是San Juan de Lurigancho、Los Olivos和Cercado de Lima;不太安全的地区是Ancón, Surquillo和Lince。研究结果可以帮助中央和地方政府对公民犯罪问题做出最佳决策。灰色聚类方法显示出有趣的结果,可以应用于其他社会问题,因为该方法在分析中考虑了不确定性。
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引用次数: 16
Automated detection of diabetic retinopathy using SVM 基于支持向量机的糖尿病视网膜病变自动检测
E. Carrera, Andrés González, R. Carrera
Diabetic retinopathy is a common eye disease in diabetic patients and is the main cause of blindness in the population. Early detection of diabetic retinopathy protects patients from losing their vision. Thus, this paper proposes a computer-assisted diagnosis based on the digital processing of retinal images in order to help people detecting diabetic retinopathy in advance. The main goal is to automatically classify the grade of non-proliferative diabetic retinopathy at any retinal image. For that, an initial image processing stage isolates blood vessels, microaneurysms and hard exudates in order to extract features that can be used by a support vector machine to figure out the retinopathy grade of each retinal image. This proposal has been tested on a database of 400 retinal images labeled according to a 4-grade scale of non-proliferative diabetic retinopathy. As a result, we obtained a maximum sensitivity of 95% and a predictive capacity of 94%. Robustness with respect to changes in the parameters of the algorithm has also been evaluated.
糖尿病视网膜病变是糖尿病患者常见的眼病,是导致人群失明的主要原因。糖尿病视网膜病变的早期发现可以保护患者免于失去视力。因此,本文提出了一种基于视网膜图像数字处理的计算机辅助诊断方法,以帮助人们提前发现糖尿病视网膜病变。主要目的是在任何视网膜图像上自动分类非增殖性糖尿病视网膜病变的等级。为此,初始图像处理阶段分离血管、微动脉瘤和硬渗出物,以提取可用于支持向量机的特征,以计算出每个视网膜图像的视网膜病变等级。该建议已在一个数据库中进行了测试,该数据库包含400张视网膜图像,根据非增生性糖尿病视网膜病变的4级量表进行标记。结果,我们获得了95%的最大灵敏度和94%的预测能力。对算法参数变化的鲁棒性也进行了评估。
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引用次数: 140
Implementation of a finger force detection platform with a graphical user interface 实现了一个具有图形用户界面的手指力检测平台
Enzo Romero, R. Callupe, D. Elias
This paper presents the implementation of a Finger force detection platform capable to measure the exerted forces by the index, middle, ring and little finger in single-axis direction (flexion); and in dual-axis direction (flexion/adduction) by the thumb. It can be adapted to different sizes in both right or left hand. A test protocol is established. Also, a Graphical User Interface (GUI) is developed in order to assist the subject during the test. The results show the maximum forces developed by each finger among Peruvian participants.
本文介绍了一种手指力检测平台的实现,该平台能够测量食指、中指、无名指和小指在单轴方向(屈曲)上所施加的力;在双轴方向(屈曲/内收)通过拇指。它可以适应不同的大小在右手或左手。建立了测试协议。此外,还开发了图形用户界面(GUI),以便在测试过程中帮助受试者。结果显示了秘鲁参与者每根手指所产生的最大力量。
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引用次数: 1
Mechatronic system for rehabilitation of patients after a stroke 脑卒中患者康复的机电一体化系统
Octavio Diaz-Hernández, Sandra Montserrat Garcia-Villalpando
The people that need rehabilitation have grown and have overwhelmed therapists therefore new technological advances are required to provide service to a larger population, also the cost is a factor to consider. Particularly, the people who has suffered and survive a stroke (cerebral sudden malfunction) usually need therapy to recover lost functions, such as neuromuscular coordination. In this work, we propose a mechatronic system to help patients to recover hand-eye coordination which requires movement of the whole arm. The preliminary results show that the system is ready to be validated with real patients, that is reliable and that can be replicated as needed.
需要康复的人越来越多,使治疗师不堪重负,因此需要新的技术进步来为更大的人群提供服务,成本也是一个需要考虑的因素。特别是,遭受中风(大脑突发性功能障碍)并幸存下来的人通常需要治疗来恢复失去的功能,例如神经肌肉协调。在这项工作中,我们提出了一个机电系统来帮助患者恢复手眼协调,这需要整个手臂的运动。初步结果表明,该系统可以在实际患者身上进行验证,并且是可靠的,可以根据需要进行复制。
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引用次数: 1
Programming by demonstration for the teaching and preservation of intangible cultural heritage 非物质文化遗产教学与保护的示范项目
M. Montalvo, Eduardo Calle-Ortiz
The present research describes the design and implementation of a programming by demonstration algorithm, where data is taken from a human narrator and then processed and imitated by the social robot Nao. This has been done by the use of artificial neural networks and inverse kinematics algorithms, resulting in a 7.25% trajectory difference when comparing the instructor movements with the robot learned movements. An exploratory study is also presented regarding recent advances in social robotics, affective computation, and human-machine interaction. These subjects are analyzed and an innovative way of integrating them as a tool for the narration and diffusion of legends and oral expressions in risk of disappearance is proposed. This work aims the new generations to renew their interest in traditional oral elements and actively involve them in the preservation and transmission of intangible cultural heritage.
本研究描述了一种编程演示算法的设计和实现,其中数据来自人类叙述者,然后由社交机器人Nao进行处理和模仿。这是通过使用人工神经网络和逆运动学算法来完成的,当比较教练的运动和机器人学习的运动时,结果是7.25%的轨迹差异。一项探索性研究也提出了关于社会机器人,情感计算和人机交互的最新进展。对这些主题进行了分析,并提出了一种创新的方式,将它们整合为一种工具,在消失的风险中讲述和传播传说和口头表达。这项工作旨在让新一代重新燃起他们对传统口头元素的兴趣,并积极参与到非物质文化遗产的保护和传播中来。
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引用次数: 0
Application of convolutional neural networks for static hand gestures recognition under different invariant features 卷积神经网络在不同不变特征下静态手势识别中的应用
C. Jose L. Flores, A. E. Gladys Cutipa, R. Lauro Enciso
The present work proposes to recognize the static hand gestures taken under invariations features as scale, rotation, translation, illumination, noise and background. We use the alphabet of sign language of Peru (LSP). For this purpose, digital image processing techniques are used to eliminate or reduce noise, to improve the contrast under a variant illumination, to separate the hand from the background of the image and finally detect and cut the region containing the hand gesture. We use of convolutional neural networks (CNN) to classify the 24 hand gestures. Two CNN architectures were developed with different amounts of layers and parameters per layer. The tests showed that the first CNN has an accuracy of 95.37% and the second CNN has an accuracy of 96.20% in terms of recognition of the 24 static hand gestures using the database developed. We compared the two architectures developed in accuracy level for each type of invariance presented in this paper. We compared the two architectures developed and usual techniques of machine learning in results of accuracy.
本文提出在尺度、旋转、平移、光照、噪声和背景等不变性特征下对静态手势进行识别。我们使用秘鲁手语(LSP)的字母表。为此,利用数字图像处理技术消除或降低噪声,提高不同照度下的对比度,将手从图像背景中分离出来,最后检测和切割包含手势的区域。我们使用卷积神经网络(CNN)对24种手势进行分类。开发了两种具有不同层数和每层参数的CNN架构。测试表明,使用开发的数据库对24种静态手势的识别,第一种CNN的准确率为95.37%,第二种CNN的准确率为96.20%。我们比较了本文中每种不变性类型在精度级别上开发的两种体系结构。我们比较了两种开发的架构和通常的机器学习技术的准确性结果。
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引用次数: 47
期刊
2017 IEEE XXIV International Conference on Electronics, Electrical Engineering and Computing (INTERCON)
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