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2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)最新文献

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Hand Gesture Recognition and Tracking Control for a Virtual UR5 Robot Manipulator 虚拟UR5机械手的手势识别与跟踪控制
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590677
Alex Chico, P. Cruz, J. P. Vásconez, Marco E. Benalcázar, Robin Álvarez, Lorena Barona, Ángel Leonardo Valdivieso
Human-machine interfaces (HMIs) have received an increased attention during the past decades, specially due to the use of robots in many fields of the industry. In this paper, we employ a hand gesture recognition (HGR) system and the inertial measurement unit (IMU) integrated in the Myo Armband sensor as a HMI to control the position and orientation of a virtual six-degree-of-freedom (DoF) UR5 robot. As part of the HMI, this work also focuses on solving the trajectory tracking problem for the UR5 robot using two different control strategies: a minimum norm PID and a controller based on linear algebra. Both controllers are designed from the UR5 kinematic model. Finally, we test and compare their performance by computing their IAE performance criterion and the position errors obtained from two experiments: tracking pre-defined input trajectories and commanding the virtual robot by the HGR system plus the Myo Armband's IMU signals.
在过去的几十年里,人机界面(hmi)受到了越来越多的关注,特别是由于机器人在工业的许多领域的使用。在本文中,我们采用一个手势识别(HGR)系统和集成在Myo臂带传感器中的惯性测量单元(IMU)作为HMI来控制虚拟六自由度UR5机器人的位置和方向。作为HMI的一部分,本工作还侧重于解决UR5机器人的轨迹跟踪问题,使用两种不同的控制策略:最小范数PID和基于线性代数的控制器。两个控制器都是根据UR5的运动学模型设计的。最后,我们通过计算它们的IAE性能标准和由HGR系统和Myo Armband的IMU信号跟踪预定输入轨迹和指挥虚拟机器人两个实验得到的位置误差来测试和比较它们的性能。
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引用次数: 7
A New Methodology For Pattern Recognition Applied To Hand Gestures Recognition Using EMG. Analysis Of Intrapersonal And Interpersonal Variability 一种基于肌电图的手势识别新方法。个人和人际变异性分析
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590695
Javier Alejandro Ordóñez Flores, Robin Gerardo Alvarez Rueda, Marco E. Benalcázar, Lorena Isabel Barona López, Ángel Leonardo Valdivieso Caraguay, Patricio Cruz, J. P. Vásconez
Systems used for pattern recognition are usually divided into 4 stages: signal acquisition, preprocessing, feature extraction and classification. However, the use of algorithms in these last 3 stages is not justified and researchers use them without criteria other than the result achieved at the end of the process. In this paper we propose a new methodology and show its particular application to the recognition of five hand gestures based on 8 channels of Electromyography using the Myo armband device placed on the forearm. If n features are extracted, they will form clusters of points in n-dimensional space and now the selection of the best preprocessing algorithms and the best features are based on maximizing the distance among clusters. On the other hand, both intrapersonal and interpersonal variability are treated to facilitate the understanding of the phenomenon. As a demonstration, it was applied to 12 people and the recognition accuracy was 97%.
用于模式识别的系统通常分为4个阶段:信号采集、预处理、特征提取和分类。然而,在这最后3个阶段使用算法是不合理的,研究人员使用它们时除了在过程结束时获得的结果之外没有其他标准。在本文中,我们提出了一种新的方法,并展示了其在使用放置在前臂上的Myo臂带装置基于8通道肌电图识别五种手势的特殊应用。如果提取n个特征,它们将在n维空间中形成点的聚类,现在选择最佳预处理算法和最佳特征是基于最大化聚类之间的距离。另一方面,为了便于对这一现象的理解,我们对个人和人际变异都进行了处理。作为验证,该方法应用于12个人,识别准确率达到97%。
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引用次数: 2
A Firmware Platform for Breast Cancer Microwave Imaging 用于乳腺癌微波成像的固件平台
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590727
Alexandre de Jesus Aragão, D. Carvalho, W. Van Noije
This work reports a control platform development for a low-cost and portable medical imaging breast cancer detection system. Firmware was developed from scratch contemplating the hardware control, automated internal sweeping routines, and attending personal computer queries via USB communication. Custom commands were implemented for the external communication employing a simple and effective ASCII protocol. The platform allows both hardware technician and exam operator to interact with the hardware from register level to elaborated routines, enabling advanced intervention as well as automatic and fast measurement tasks. Results reported calibration and sweeping times reduced from minutes to less than 2.5 seconds per examination step. A complete 64 positions exam time is estimated in 28 minutes and currently depends primarily on the mechanical equipment setup.
本文报道了一种低成本便携式医学成像乳腺癌检测系统的控制平台的开发。固件从头开始开发,考虑硬件控制,自动内部扫描例程,并通过USB通信参加个人计算机查询。采用简单有效的ASCII协议实现了外部通信的自定义命令。该平台允许硬件技术人员和测试操作员与硬件进行交互,从寄存器级到详细的例程,实现高级干预以及自动和快速的测量任务。结果报告校准和扫描时间从每检查步骤的几分钟减少到不到2.5秒。完成64个岗位的考试时间估计为28分钟,目前主要取决于机械设备的设置。
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引用次数: 1
Review of Cybersecurity in LatinAmerica during the Covid-19 Pandemic. A brief Overview 2019冠状病毒病大流行期间拉丁美洲网络安全综述简要概述
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590693
Jorge Buzzio-Garcia, Victor Salazar-Vilchez, Jhonatan Moreno-Torres, Omar Leon-Estofanero
The arrival of the covid-19 pandemic has generated a turning point in the way people live. A maj or role for telecommunications technology has been playing in enabling interaction between people and the productivity of people within an organization, despite restrictions put in place by several governments because of the pandemic. The massive use of ICT also exposes users and organizations to be victims of a possible cyber-attack. This paper aims to review the impact of the covid-19 pandemic on cybersecurity in Latin America, which have been the most recurrent attacks and some reported cases. For this purpose, we examined a literature review on the different types of cyberattacks, reports provided by multiple organizations in the field of cybersecurity, and news from Latin American countries about cybercrimes related to the covid-19 pandemic. It also discusses a trend in cyberattacks and some recommendations to improve cybersecurity for individuals and organizations. It concludes by defending the need to have a culture of cybersecurity to minimize the impact of cyber-attacks at both the organizational and individual levels.
covid-19大流行的到来为人们的生活方式带来了转折点。尽管由于大流行,一些国家的政府实施了限制,但电信技术在促进组织内人员与人员生产力之间的互动方面发挥了重要作用。信息通信技术的大量使用也使用户和组织成为可能的网络攻击的受害者。本文旨在回顾2019冠状病毒病大流行对拉丁美洲网络安全的影响,拉丁美洲是最频繁发生的攻击和一些报告的案例。为此,我们查阅了关于不同类型网络攻击的文献综述、网络安全领域多个组织提供的报告,以及来自拉丁美洲国家的与covid-19大流行相关的网络犯罪新闻。它还讨论了网络攻击的趋势,并提出了一些建议,以改善个人和组织的网络安全。最后,本文为建立网络安全文化的必要性进行了辩护,以最大限度地减少组织和个人层面上网络攻击的影响。
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引用次数: 3
Path Planning Optimization in SDN Using Machine Learning Techniques 基于机器学习技术的SDN路径规划优化
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590749
M. Rodriguez, Ricardo Flores Moyano, Noel Pérez, Daniel Riofrío, D. Benítez
Internet, mobile networks, and mobile devices have contributed to the massive development of telematics applications. Therefore, the underlying communication network that supports the connectivity of these applications must provide an adequate level of QoS. On the other hand, the advent of new networking paradigms such as Software Defined Networks (SDN) has transformed the telco landscape. Consequently, traditional teletraffic engineering techniques cannot comply with the requirements of agile, dynamic, and tailored traffic controls. In this context, a proposal to improve the QoS of communication networks by optimizing the path planning process using the machine learning principles is presented. Thus, path planning is considered a multi-classification problem. Several configurations of three machine learning classifiers have been evaluated to determine the best model. Two class-balanced experimental datasets named Dl and D2 were created for validation purposes. The support vector machine classifier with a linear kernel and cost c = 102 was the best model obtaining a mean of an area under the receiver operating characteristics curve of 0.999 using the D1 dataset. The same classifier with a polynomial kernel and cost c = 10 achieved a score of 0.999 using the D2 dataset. These results statistically overcame the remaining classification schemes at $a$ = 0.05, determining the support vector machine model as the best classifier to find optimal paths between endpoints.
互联网、移动网络和移动设备促进了远程信息处理应用的大规模发展。因此,支持这些应用程序连通性的底层通信网络必须提供足够的QoS级别。另一方面,软件定义网络(SDN)等新网络模式的出现改变了电信行业的格局。因此,传统的通信工程技术已不能满足灵活、动态、个性化的通信控制要求。在此背景下,提出了一种利用机器学习原理优化路径规划过程以提高通信网络QoS的建议。因此,路径规划被认为是一个多分类问题。已经评估了三种机器学习分类器的几种配置,以确定最佳模型。为了验证目的,创建了两个类别平衡的实验数据集Dl和D2。在D1数据集上,具有线性核且代价c = 102的支持向量机分类器是获得接收者工作特征曲线下面积均值为0.999的最佳模型。同样的分类器使用多项式核,成本c = 10,使用D2数据集获得了0.999的分数。这些结果在统计上克服了$a$ = 0.05的剩余分类方案,确定了支持向量机模型作为寻找端点之间最优路径的最佳分类器。
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引用次数: 0
Qualitative Model to Maximize Shrimp Growth at Low Cost 以低成本最大化虾生长的定性模型
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590704
J. Pereira, M. Mora, W. Agila
In Ecuador, shrimp exports have gained importance in recent years such that it represents a strong income in the country's economy. However, some shrimp farms do not have the appropriate technology to carry out controlled and efficient automated farming. Fuzzy logic is an efficient and effective way to establish rules of behavior of a system for solving an industrial problem. This paper explores the implementation of a monitoring and control system in shrimp farming, to obtain better growth results by using a qualitative model of intelligent supervision. Finally, to evaluate this model based on linguistic rules, we analyzed the open-loop and closed-loop response
在厄瓜多尔,虾出口近年来变得越来越重要,它代表了该国经济的一项强劲收入。然而,一些对虾养殖场没有适当的技术来进行控制和高效的自动化养殖。模糊逻辑是为解决工业问题建立系统行为规则的一种高效、有效的方法。本文探讨了在对虾养殖中实施监控系统,利用智能监管的定性模型,以获得更好的生长效果。最后,为了评估基于语言规则的模型,我们分析了开环和闭环响应
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引用次数: 2
A Brain-Computer Interface for Controlling IoT Devices using EEG Signals 一种利用脑电图信号控制物联网设备的脑机接口
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590711
Kelvin Ortíz Chicaiza, Marco E. Benalcázar
Motor disability is the loss of the ability to move a limb of the body. Motor disabilities make difficult the interaction between a disabled person and her/his environment. Recent research has focused on developing innovative technologies that could be used by disabled people to improve their life quality. In this paper, a brain-computer interface for controlling IoT devices is proposed. This system is based on the use of the Muse-Headband sensor which captures EEG signals when a person blinks. This sensor is placed on the forehead of the user of the system. The EEGs are preprocessed and then classified into short and long blinks by computing their signal envelopes and using the k-NN algorithm. The classified blinks are then used to form control commands that are sent to a mosquitto server hosted in the cloud. This server is responsible for sending the control action to the connected IoT devices. The accuracy of the classifier designed in this work is 99.53%. Usability tests show that the probability of a user sending a wrong command, with the proposed system, is 4.83%. However, this probability decreases when the time of use of the system proposed in this work increases.
运动障碍是指失去移动肢体的能力。运动障碍使残疾人难以与周围环境进行互动。最近的研究集中在开发创新技术上,这些技术可以被残疾人用来提高他们的生活质量。本文提出了一种用于控制物联网设备的脑机接口。这个系统是基于缪斯-头带传感器的使用,当一个人眨眼时,它可以捕捉脑电图信号。该传感器被放置在系统用户的额头上。对脑电信号进行预处理,通过计算其信号包络并使用k-NN算法将其分为短眨眼和长眨眼。然后,这些机密的眨眼被用来形成控制命令,发送给托管在云中的蚊子服务器。该服务器负责将控制动作发送到连接的物联网设备。本文设计的分类器准确率为99.53%。可用性测试表明,使用该系统,用户发送错误命令的概率为4.83%。然而,当本工作中提出的系统的使用时间增加时,这种可能性会降低。
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引用次数: 4
A Novel Stretchable Clock Based Communication Port Controller for GALS Pipeline Systems 一种基于可伸缩时钟的GALS管道系统通信端口控制器
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590637
D. L. Oliveira, Nicolly N. M. Cardoso, G. Batista
The GALS (Globally Asynchronous Locally Synchronous) paradigm is a promising alternative to implement SoC (Systems-on-Chip). GALS systems are formed by synchronous modules that operate with unrelated clock signals and interact with self-timed communication. An asynchronous wrapper is generated for each synchronous module, where a clock generator and communication ports (asynchronous channels) are inserted. Two criticisms of GALS systems based on the asynchronous wrapper are the cost of communication and metastability. In this paper, we propose a new asynchronous wrapper geared towards the GALS pipeline. Compared to asynchronous wrappers from the literature, it reduces communication cost and area reduction and is free of metastability. Our wrapper's main feature is a new controller port that performs the two-phase protocol's input/ output communication functions and generates the stretchable clock signal.
GALS(全局异步本地同步)范式是实现SoC(片上系统)的一个很有前途的替代方案。GALS系统由同步模块组成,这些同步模块与无关的时钟信号一起工作,并与自定时通信相互作用。为每个同步模块生成异步包装器,其中插入时钟生成器和通信端口(异步通道)。对基于异步包装器的GALS系统的两个批评是通信成本和亚稳态。在本文中,我们提出了一种新的面向GALS管道的异步包装器。与文献中的异步包装器相比,它减少了通信成本和面积,并且没有亚稳态。我们的包装器的主要特点是一个新的控制器端口,它执行两阶段协议的输入/输出通信功能,并产生可拉伸的时钟信号。
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引用次数: 0
Virtual Learning Environments based on Beacons Devices 基于beacon设备的虚拟学习环境
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590788
Juan Sebastián Peñaloza Marín, José Julio Freire Cabrera, Nathaly Orozco Garzón, Henry Ramiro Carvajal Mora
Due to current developments it is important that education go hand in hand with technology. Currently, there are several technological devices that allow a more didactic management of learning and beacons are some interesting devices to apply them in education. This paper presents a new methodology for virtual learning environments based on Beacons devices. Specifically, we developed a prototype that allows information to be displayed on a smartphone application. For this, the mobile device communicates with the beacon, which indicates the information that must be displayed in the application. Although any content can be used in this proposal, we show as example the curricular content of an educational center. The proposed prototype takes advantage of the operating principle of Bluetooth Low Energy (BLE). The use of Beacons allows Smartphone-Beacon automated communication. More specifically, a mobile application has been developed in the Integrated Development Environment (IDE) of Android Studio, which is responsible for scanning the iBeacon protocol and the automatic generation of the notification that links the end user to a web repository. Prototype tests were carried out on students and encouraging results were obtained. These results demonstrate that the learning process can be improved using our proposal, that is, education-oriented Beacons is an interesting option for internet-of-things (IoT) based education. A systematic review of the literature has not found a solution similar to the one presented.
由于当前的发展,教育与技术携手并进是很重要的。目前,有几种技术设备允许对学习进行更具教学性的管理,而信标是将它们应用于教育的一些有趣的设备。本文提出了一种基于beacon设备的虚拟学习环境的新方法。具体来说,我们开发了一个允许在智能手机应用程序上显示信息的原型。为此,移动设备与信标通信,信标指示必须在应用程序中显示的信息。虽然任何内容都可以在本提案中使用,但我们以教育中心的课程内容为例。所提出的原型利用了低功耗蓝牙(BLE)的工作原理。Beacons的使用允许智能手机- beacon自动通信。更具体地说,在Android Studio的集成开发环境(IDE)中开发了一个移动应用程序,它负责扫描iBeacon协议并自动生成将最终用户链接到web存储库的通知。在学生身上进行了原型测试,取得了令人鼓舞的结果。这些结果表明,使用我们的建议可以改善学习过程,也就是说,面向教育的Beacons是基于物联网(IoT)的教育的一个有趣选择。对文献的系统回顾并没有发现类似的解决方案。
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引用次数: 1
Prototype of a Conversational Agent for the Catholic University of Cuenca 昆卡天主教大学会话代理的原型
Pub Date : 2021-10-12 DOI: 10.1109/ETCM53643.2021.9590685
Christian Coronel-Balderramo, Leopoldo Pauta-Ayabaca
The article analyses tools and applies the base for processes to the areas of artificial intelligence that are Immersed in the daily lives of people, companies, institutions, and the industry, in constant interaction, without the human beings realizing the process. For achieving this, work has been done on the subarea of conversational agents that offers new ways and experiences of communicating with users. Software modules that have been designed to recognize the patterns of human writing generating an appropriate response. This research presents an analysis of the evolving needs of users and the support of emerging technologies concerning automated communication and the implementation of a prototype of a conversational agent or chatbot that uses artificial intelligence and is focused on natural language processing; the prototype can establish a conversation with students naturally.
本文分析工具,并将过程基础应用于人工智能领域,这些领域沉浸在人们、公司、机构和行业的日常生活中,在人类没有意识到的情况下不断互动。为了实现这一目标,已经在会话代理的子领域进行了工作,该领域提供了与用户通信的新方法和新体验。被设计用来识别人类写作模式并产生适当回应的软件模块。本研究分析了用户不断变化的需求和对自动化通信的新兴技术的支持,并实现了使用人工智能并专注于自然语言处理的会话代理或聊天机器人的原型;原型可以自然地与学生建立对话。
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引用次数: 0
期刊
2021 IEEE Fifth Ecuador Technical Chapters Meeting (ETCM)
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