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2022 IEEE 40th Central America and Panama Convention (CONCAPAN)最新文献

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Prototype for evaluation of wireless technologies in IoT ecosystems 物联网生态系统中无线技术评估的原型
Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997647
C. Nelson Giovanni Agudelo, Juan Carlos Amézquita Tovar, P. Octavio Salcedo
This paper describes the process of designing, building, and evaluating an IoT (Internet of things) ecosystem for three wireless technologies LoRa, Wi-Fi, and BLE. The system has a gateway connected to the internet by LTE and interacts with three sensor nodes; each sensor node uses a different wireless technology. The hardware control device is a Raspberry Pi3, the IoT web platform is a component of Azure. The development provides a flexible, autonomous, heterogeneous, and scalable network for IoT ecosystems that can analyze the real-time of each technology in the ecosystem. For this work real-time means a latency that has a value between 101 ms (milliseconds) and 6012 ms. Performance evaluation results using latency tests and maximum data sending range for each technology shows that the maximum range is 318 meters, and the lowest average latency is 1033 ms in LoRa and LTE interoperability.
本文描述了针对LoRa、Wi-Fi和BLE三种无线技术设计、构建和评估IoT(物联网)生态系统的过程。该系统有一个通过LTE连接到互联网的网关,并与三个传感器节点交互;每个传感器节点使用不同的无线技术。硬件控制设备是Raspberry Pi3,物联网网络平台是Azure的一个组件。该开发为物联网生态系统提供了一个灵活、自主、异构和可扩展的网络,可以分析生态系统中每种技术的实时情况。对于这项工作,实时意味着延迟在101 ms(毫秒)到6012 ms之间。通过时延测试和最大数据发送距离对各技术的性能评估结果显示,在LoRa和LTE互操作性下,最大传输距离为318米,平均时延最低为1033 ms。
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引用次数: 0
Flexible ribbon fiber optic technology: cable development, requirements and test methods An alternative to optimize the network for IoT and 5G systems 柔性带状光纤技术:电缆开发、要求和测试方法一种优化物联网和5G系统网络的替代方案
Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997685
Fabio G. Corcini
There is a high demand for optical fiber to enable smart grid communication, as well as the need to advance the telecommunications sector, mainly related to IoT and 5G. The technology used in Brazil, of optical cables with loose tubes, limits the development of new high-capacity connectivity technologies. High density optical cables composed of flexible ribbons already exist outside Brazil [1] [2] and are a solution that makes it possible to considerably increase the number of fibers in a network. This work presents the development of optical cables composed of flexible ribbons for installation in ducts or lashed aerial networks, with 288 optical fibers, which allow greater compactness of optical networks and reduction in installation times and costs and commissioning.
对光纤的需求很大,以实现智能电网通信,并需要推进电信部门,主要与物联网和5G相关。巴西使用的光缆松管技术限制了新型高容量连接技术的发展。由柔性带组成的高密度光缆在巴西以外已经存在[1][2],这是一种可以大大增加网络中光纤数量的解决方案。这项工作介绍了用于安装在管道或捆扎架空网络中的柔性带状光缆的开发,具有288根光纤,可以使光网络更加紧凑,减少安装时间、成本和调试。
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引用次数: 0
Experimental scope of an electrical energy consumption device based on multi-microprocessors, local printed circuit boards and Internet of Things (IoT) 基于多微处理器、局部印刷电路板和物联网的电能消耗装置实验范围
Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997611
Daniel Flores Pérez, Nelson Reyes Lainez, Heber Cerrato Lagos
Faced with the need to implement applicable policies for the assurance of the quality, many consulting providers choose to import power quality and energy analyzers, since in Honduras there is not an infrastructure for the production of electronic devices. This work presents experimental results of an alternative based on the interconnection of different local accessible microprocessors through Serial Peripheral Interface links, electronic boards designed in freeware to adapt and measure effective voltage signals up to 240 Vrms, effective current signals up to 40 Arms using both rigid and flexible clamps, temperature and relative humidity for considerations of environmental conditions and communication by Wi-Fi using a Java interface, adjustment option according to a calibration certificate issued by an accredited laboratory, all in a portable equipment to be able to carry out studies with a device that is supported national technician.
面对实施适用政策以保证质量的需要,许多咨询提供商选择进口电能质量和能源分析仪,因为洪都拉斯没有生产电子设备的基础设施。这项工作提出了一种替代方案的实验结果,该方案基于通过串行外设接口链路连接不同的本地可访问微处理器,在免费软件中设计的电子板,可适应和测量高达240 Vrms的有效电压信号,使用刚性和柔性夹具的有效电流信号,考虑环境条件的温度和相对湿度,以及使用Java接口通过Wi-Fi进行通信。可根据认可实验室颁发的校准证书进行调整,所有在便携式设备上能够进行研究的都是由国家技术人员支持的设备。
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引用次数: 0
A serious game for cognitive and fine motor skill rehabilitation: a qualitative evaluation. 认知和精细运动技能康复的严肃游戏:定性评价。
Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997622
Diana Mariaca, D. Guzmán, Jerónimo Londoño
Cognition and upper motor skills are some of the most common areas in rehabilitation of various pathologies; cognitive recovery can be supported on various areas as inhibition and object recognition, while motor skills require repetitive exercises, these make them the perfect target to develop serious games for catching the attention of patients and make easier for them to complete different tasks. This paper will show a qualitative usability evaluation of a serious game, developed for rehabilitation of cognition and fine motor skills. The game was built according to State-of-the-art determined design patterns as color, border definition and sound feedback, meanwhile the dynamics were chosen to match cognitive inhibition and object recognition recovery, implementing repetitive grasp and release tasks to enhanced motor abilities. At the end a usability study, based on Likert scale to estimate user’s opinion was carried out through a survey and applied to 21 physiotherapy and medicine students; concluding a good grade of usability, usefulness, playability and applicability of the application.
认知和上运动技能是各种病理康复中最常见的领域;认知恢复可以在多个领域得到支持,如抑制和物体识别,而运动技能需要反复练习,这使得它们成为开发严肃游戏的完美目标,以吸引患者的注意力,并使他们更容易完成不同的任务。本文将展示一个定性的可用性评估的严肃游戏,开发的认知和精细运动技能的康复。游戏根据最先进的设计模式,如颜色、边界定义和声音反馈来构建,同时选择动态来匹配认知抑制和物体识别恢复,通过重复的抓取和释放任务来增强运动能力。最后进行可用性研究,基于李克特量表估算用户意见,通过问卷调查对21名物理治疗和医学专业的学生进行调查;结论是应用程序的可用性、有用性、可玩性和适用性的良好等级。
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引用次数: 0
Hand Gesture Recognition with ConvNets for School-Aged Children to Learn Basic Arithmetic Operations 用卷积神经网络进行手势识别,帮助学龄儿童学习基本的算术运算
Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997680
Alvaro Teran-Quezada, Victor Lopez-Cabrera, José Carlos Rangel, J. Sánchez-Galán
Hand Gesture and Sign Language Recognition are recognized as non-trivial problems in the computer vision community. Deep Learning (DL) has provided both, a novel analytical framework and solutions. Moreover, Convolutional Neural Networks (CNN) have shown there are still goals to be met and solutions to be given regarding Hand Posture Recognition with the architectures and technologies we have today. This work proposes building a Hand Gesture Recognizer able to identify 13 classes: numbers from 0 to 9, and the signs corresponding to the arithmetic operations of addition, subtraction, and multiplication. The core model aims to translate digits and math symbols signed by students and teachers in a school environment to both make the teaching-learning process more engaging and to promote sign language learning in the student community. Based on Object Detection and leveraging a pretrained model using Transfer Learning, this DL model was retrained with a data set of 1,365 images (105 per class/sign) of Panamanian Sign Language hand-shapes. An accuracy of 88% was reached on the validation data, with proved usefulness on American Sign Language (ASL) for these hand-shapes, and being easily adaptable to other sign systems, including two-handed finger spelling ones like International Sign System (IS).
手势和手语识别是计算机视觉界公认的重要问题。深度学习(DL)提供了一种新的分析框架和解决方案。此外,卷积神经网络(CNN)已经表明,在我们今天拥有的架构和技术下,手部姿势识别仍然有目标要实现,也有解决方案要给出。这项工作提出建立一个能够识别13类的手势识别器:从0到9的数字,以及与加法、减法和乘法的算术运算相对应的符号。核心模型旨在翻译由学生和教师在学校环境中签名的数字和数学符号,使教学过程更具吸引力,并促进学生群体的手语学习。基于对象检测并利用迁移学习的预训练模型,该深度学习模型使用1365张巴拿马手语手形图像(每个类/标志105张)的数据集进行了重新训练。验证数据的准确率达到88%,证明了这些手型在美国手语(ASL)上的有效性,并且很容易适应其他符号系统,包括像国际标志系统(IS)这样的双手手指拼写系统。
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引用次数: 0
Study on the Implementation of Intelligent Methods for Order Preparation 订单准备智能方法的实现研究
Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997710
Andrea P. Castillo Alvarado, Orlin D. Castro Castro, M. E. Perdomo
Order preparation is a process of great impact in warehouses, this is because organizations always seek to provide a quality service, which today goes hand in hand with a fast delivery. Therefore, the objective of this article is to develop a mobile app that has the ability to read barcodes to complete purchase orders, and simultaneously generate a receipt that helps speed up the process. Its operation is simple and full of visual aspects that allow a practical handling of the app. The methodology was established by virtue of an experiment in which it is sought to affirm that the designed application helps to improve the order preparation time. As a result of the study that was carried out, it was possible to define that the implementation of the method supported by the application confirms that its contributions provide great benefits, its level of precision is not affected by the application and its investment costs vary only by 42% compared to traditional picking method. In conclusion, it is possible to interpret that the level of precision when using the application was 2.4 times more efficient than the traditional process.
订单准备在仓库中是一个影响很大的过程,这是因为组织总是寻求提供高质量的服务,这在今天与快速交付密切相关。因此,本文的目标是开发一个能够读取条形码以完成采购订单的移动应用程序,并同时生成收据以帮助加快流程。它的操作简单,充满视觉方面,允许实际处理应用程序。该方法是通过一个实验建立的,该实验旨在确认设计的应用程序有助于缩短订单准备时间。作为研究的结果,有可能定义应用程序支持的方法的实施确认其贡献提供了巨大的好处,其精度水平不受应用程序的影响,其投资成本与传统采摘方法相比仅相差42%。总之,可以解释使用该应用程序时的精度水平比传统过程效率高2.4倍。
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引用次数: 1
A long-range, low-cost technique to measure water level variations over limnimeters on hydraulic weir using machine vision and IoT 一种远程、低成本的技术,利用机器视觉和物联网在液压堰的极限仪上测量水位变化
Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997634
A. Chiliquinga-Chiliquinga, R. Garcés-Llerena, V. Bautista-Naranjo, G. Vayas-Ortega, J. Castillo-Velazquez, R. Clotet, M. Huerta, D. Rivas-Lalaleo
It is neither practical nor economical to make continuous and direct measurements of the water flow in a stream, so indirect methods must be used to measure the water level and, based on a calibration curve, relate it to the corresponding flow rate. A hydraulic weir with a limnimeter fulfills this purpose, but its disadvantage is that it does not allow the automated registration of the water level and therefore new and more efficient technologies must be used to perform this measurement automatically and thus have a lower waste and optimization of the resource. This experiment develops an algorithm based on computer vision and the inclusion of the concepts of the Internet of Things, in order to measure and record the values of the water level in a hydraulic dam, also includes energy storage system, power supply, remote computer, devices with wireless communication and IoT platform that allow a measurement error of less than ± 2% to be obtained with respect to a visual measurement made by the operator.
连续和直接测量溪流中的水流既不实际也不经济,因此必须采用间接方法测量水位,并根据校准曲线将其与相应的流量联系起来。带水位计的水力堰实现了这一目的,但它的缺点是不允许自动记录水位,因此必须使用新的和更有效的技术来自动执行这一测量,从而减少浪费和优化资源。本实验开发了一种基于计算机视觉并包含物联网概念的算法,用于测量和记录水电站的水位值,还包括储能系统、电源、远程计算机、具有无线通信的设备和物联网平台,使测量误差小于±2%相对于操作员的视觉测量。
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引用次数: 0
Cryptography model to secure IoT device endpoints, based on polymorphic cipher OTP 基于多态密码OTP的保护物联网设备端点的加密模型
Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997589
C. Bran, Douglas Flores, Carlos Hernández
The security of data exchange between IoT components is of vital importance to avoid integrity breaches in M2M relationships.The main reason for incorporating complex encryption strategies is the processing and memory limitations of embedded systems. This paper proposes an efficient alternative for encrypting messages between two IoT components with processes that make use of keys that change with each new communication making it difficult for brute force attacks to gain access to the exchanged content. Additionally, the method adds a mutation of the encryption functions that adds another additional difficulty to decrypt the message since it depends not only on the key but also on the sequence of application of the decryption functions. The algorithm can be scaled up to end nodes with larger resources, so that the number of bits of the keys and the complexity of the encryption functions can be further increased, and since it is applied directly on the payload, it is independent of any other security method used in higher layers.
物联网组件之间数据交换的安全性对于避免M2M关系中的完整性破坏至关重要。采用复杂加密策略的主要原因是嵌入式系统的处理和内存限制。本文提出了一种有效的替代方案,用于在两个物联网组件之间加密消息,该进程利用随着每次新通信而变化的密钥,使暴力攻击难以访问交换的内容。此外,该方法增加了加密函数的一个突变,这增加了解密消息的另一个额外难度,因为它不仅取决于密钥,还取决于解密函数的应用顺序。该算法可以扩展到具有更大资源的终端节点,从而可以进一步增加密钥的位数和加密功能的复杂性,并且由于它直接应用于有效负载,因此它独立于更高层中使用的任何其他安全方法。
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引用次数: 0
UAV Data collection in hard-to-reach areas from a Wireless Sensor Network 从无线传感器网络收集难以到达区域的无人机数据
Pub Date : 2022-11-09 DOI: 10.1109/CONCAPAN48024.2022.9997679
L. Fernández, Miguel Angel Polo Castañeda, Luis Leonardo Camargo Ariza, Yesica Tatiana Beltrán Gómez
To implement a Wireless Sensor Network to capture atmospheric data, the sensor nodes tend to be deployed in hard-to-reach areas, either to avoid abuse due to human interaction or as a result of the fact that variations in that zone are ideal to many studies. However, enter such areas or deploy a traditional Wireless Sensor Network can be difficult or expensive. Therefore, this research proposes to implement a data collection system of Wireless Sensor Network deployed in hard-to-reach areas or where the distance between sensors nodes does not allow the implementation of a network with mesh topology, using Unmanned Aerial Vehicle as mobile sink node, which collects data using Wi-Fi technology and HTTP protocol. To achieve this, a selection process of components and wireless communication technology was developed, which would integrate the system. Likewise, measurements were made that allowed determine the maximum separation distance at which the connection between sensor node and the sink node is guaranteed. In addition, the algorithms of components system were developed and implemented, and the system operation was evaluated through unit and integral tests. Among the results are the sensors network prototypes, maximum separation distance between nodes that gave as a result 35 meters, the algorithms for nodes firmware; and the coupling part design and 3D printing to the Unmanned Aerial Vehicle. In the same way, it was possible to verify the use of an Unmanned Aerial Vehicle as sink node for Wireless Sensor Network information collection implemented in the proposed scenarios is technically feasible.
为了实现无线传感器网络来捕获大气数据,传感器节点往往部署在难以到达的区域,要么是为了避免由于人类交互而造成的滥用,要么是由于该区域的变化对许多研究来说是理想的。然而,进入这些区域或部署传统的无线传感器网络可能很困难或昂贵。因此,本研究提出了一种部署在难以到达的区域或传感器节点之间的距离不允许实现网状拓扑网络的无线传感器网络数据采集系统,使用无人机作为移动sink节点,使用Wi-Fi技术和HTTP协议进行数据采集。为了实现这一目标,开发了组件的选择过程和无线通信技术,将系统集成在一起。同样,进行测量以确定最大分离距离,从而保证传感器节点和汇聚节点之间的连接。此外,对组件系统的算法进行了开发和实现,并通过单元测试和积分测试对系统的运行进行了评价。其中的结果是传感器网络原型,节点之间的最大分离距离给出了35米的结果,算法为节点固件;并对无人机的耦合部件进行设计和3D打印。以同样的方式,可以验证在提议的场景中使用无人机作为无线传感器网络信息收集的汇聚节点在技术上是可行的。
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引用次数: 0
Reliability in Medium Voltage Distribution Systems in Renewable Energy Applications 可再生能源中压配电系统可靠性研究
Pub Date : 2022-11-09 DOI: 10.1109/concapan48024.2022.9997724
C. Ospina
This paper documents the consequences that occur in the absence of a diagnosis in Medium Voltage networks and cables in renewable energy applications (wind, photovoltaic), the lack or “savings” in prevention can lead to large economic losses and great disappointment in network users. In a scenario of digitalization, decarbonization and decentralization, the reliability and security of energy systems require prevention and diagnosis tools that allow achieving greater performance in the face of current challenges. Losses in power generation and losses due to repairs (corrective maintenance) are enormous and could directly and constantly affect the continuity of electrical systems.
本文记录了在可再生能源应用(风能、光伏)中压网络和电缆中缺乏诊断的后果,预防方面的缺乏或“节省”可能导致巨大的经济损失和网络用户的极大失望。在数字化、脱碳和去中心化的情况下,能源系统的可靠性和安全性需要预防和诊断工具,以便在面对当前挑战时实现更高的性能。发电损失和维修(纠正性维护)造成的损失是巨大的,可以直接和不断地影响电力系统的连续性。
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引用次数: 0
期刊
2022 IEEE 40th Central America and Panama Convention (CONCAPAN)
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