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2018 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI)最新文献

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Comparative Study of Methods to Improve Administrative Processes in a Organization 改进组织管理流程方法的比较研究
Pub Date : 2018-10-01 DOI: 10.1109/CONIITI.2018.8587055
Alexi Delgado, Patricia Condori
Administrative processes that are now shown in some companies indicate that they are not yet adapted to the change on agile methodologies, and they are in a dilemma between the loss of customers, which indicates low statistics of the product they offer. Today, software is supporting traditional life cycle changes. Over the course of these years, the promotion of good practices proposed by agile methodologies has changed the management and administration focus of development projects, which are an interesting challenge for standardization. The use of these methodologies is growing day by day, and soon no company will have an excuse to use them, if they wish to obtain improvements in their processes. For this reason, it is important to carry out studies about the agile methodologies that most resemble the organization according to their limits or forms of work, this fact could lead to a good result and avoid failure in the first attempt. For this reason, comparative studies are presented, ensuring the use of good practices proposed by agile methodologies to provide to client a quality product that satisfies the times and requirements. The methods that were analyzed and compared are: DSDM method, Scrum method, Lean method, and Kanban method.
现在在一些公司中显示的管理流程表明他们还没有适应敏捷方法的变化,并且他们处于客户流失的两难境地,这表明他们提供的产品统计数据较低。今天,软件支持传统的生命周期变化。在这些年的过程中,敏捷方法所提出的良好实践的推广改变了开发项目的管理和管理重点,这对标准化来说是一个有趣的挑战。这些方法的使用日益增长,如果公司希望在其过程中获得改进,很快就没有借口使用它们了。因此,根据敏捷方法的限制或工作形式,对与组织最相似的敏捷方法进行研究是很重要的,这一事实可能会导致良好的结果,并避免第一次尝试失败。出于这个原因,本文提出了比较研究,以确保使用敏捷方法提出的良好实践,为客户提供满足时代和需求的高质量产品。分析比较的方法有:DSDM方法、Scrum方法、Lean方法、看板方法。
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引用次数: 2
A Smart Classroom Based on Deep Learning and Osmotic IoT Computing 基于深度学习和渗透式物联网计算的智能课堂
Pub Date : 2018-10-01 DOI: 10.1109/CONIITI.2018.8587095
A. Pacheco, Pablo Cano, Ever Flores, E. Trujillo, Pedro Marquez
The biggest growth rate of network traffic in the coming years will be for smartphones and Internet-connected devices, which relentless tend to perform increasingly demanding tasks on continuously increasing amounts of data. Machine Learning and Edge Computing are emerging as effective paradigms for processing huge amounts of data supplied by the Internet of Things and Smart Cities. An osmotic computing architecture for an IoT smart classroom is used for testing a deep learning model for person recognition. A comparative performance study and analysis was made by means of selecting a single deep learning model, that it was tried to be adapted to run over the cloud, a fog microserver and a mobile edge computing device. The results obtained shown some promising results and also limitations for the edge and fog computing side that will need to be addressed in order to minimize latencies and achieve real-time responses for the present IoT application.
未来几年网络流量增长最快的将是智能手机和互联网连接设备,这些设备往往会在不断增加的数据量上执行越来越苛刻的任务。机器学习和边缘计算正在成为处理物联网和智慧城市提供的大量数据的有效范例。物联网智能教室的渗透计算架构用于测试用于人员识别的深度学习模型。通过选择单个深度学习模型进行比较性能研究和分析,并尝试对其进行调整,以在云、雾微服务器和移动边缘计算设备上运行。获得的结果显示了一些有希望的结果,同时也显示了边缘和雾计算方面的限制,为了最大限度地减少延迟并实现当前物联网应用的实时响应,需要解决这些限制。
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引用次数: 22
Applying Lean Manufacturing Techniques to Distribution Requirements Planning in Ecuadorian Flour Industry 精益生产技术在厄瓜多尔面粉业配送需求规划中的应用
Pub Date : 2018-10-01 DOI: 10.1109/CONIITI.2018.8587069
John Reyes, Luis Morales, Darwin Aldas, Andrés Quilligana, R. Toasa, R. Reyes
This research proposes to use Lean Manufacturing techniques to get Distribution Requirements Planning (DRP). The paper describes a case study at a major Ecuadorian flour industry, with lean manufacturing techniques the aim is improve and optimize the production system, reducing delivery times, wasteful action and inventories generated by work in process. Value stream mapping is used to identify wasteful action as opportunities for improvement and through the DRP matrix the inventory rotation and the distribution operation were improvement allowing a greater flow of money for the company. The results allow to demonstrate the successful application of the model in the flour industry with a reduction in nonvalue-added time and an improvement of 13.8% in the production process time, based on this, a improved production plan based on the distribution requirements can be elaborated.
本研究提出使用精益制造技术来获得分销需求计划(DRP)。本文描述了一个主要的厄瓜多尔面粉行业的案例研究,精益生产技术的目的是改善和优化生产系统,减少交货时间,浪费的行动和在制品产生的库存。价值流图用于识别浪费行为作为改进的机会,通过DRP矩阵,库存轮换和分销操作得到改进,从而为公司带来更大的资金流动。结果表明,该模型在面粉行业的成功应用,减少了非增值时间,生产过程时间提高了13.8%,在此基础上,可以根据配送需求制定改进的生产计划。
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引用次数: 1
Embedded Systems for Internet of Things (IoT) Applications: A Review Study 物联网(IoT)应用的嵌入式系统:综述研究
Pub Date : 2018-10-01 DOI: 10.1109/CONIITI.2018.8587092
José David Alvarado Moreno, Luis Carlos Luis Garcia, Wilder Eduardo Castellanos Hernández, Anlly Milena Barrera Obando
Recently, we have experienced a significantly increase of electronics devices that enable the development of applications for Internet of Things (IoT). These devices are promoted as complete platforms with a wide range of features offering to satisfy the requirements of the IoT ecosystem. These platforms are mainly embedded systems that additionally require a cloud service for storage and data processing. This article presents the results of a study on the characteristics of the most representative IoT embedded systems and the main platforms for analyzing data in the cloud. In this study the main manufacturers were identified as well as some features of the main development boards available were analyzed, such as the communications protocols used and price. This study can be used as a guiding tool for appropriately selecting a development platform to implement IoT applications.
最近,我们经历了能够开发物联网(IoT)应用程序的电子设备的显着增加。这些设备被推广为具有广泛功能的完整平台,以满足物联网生态系统的要求。这些平台主要是嵌入式系统,另外还需要云服务来存储和处理数据。本文介绍了对最具代表性的物联网嵌入式系统和主要云数据分析平台特征的研究结果。在本研究中,确定了主要制造商,并分析了可用的主要开发板的一些特征,例如使用的通信协议和价格。本研究可作为适当选择开发平台来实施物联网应用的指导工具。
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引用次数: 3
e-Pumapunku: An Interactive App to Teach Children the Cañari and Inca Indigenous Cultures During Guided Museum Visits e-Pumapunku:一个互动应用程序,教孩子们Cañari和印加土著文化在导游博物馆参观
Pub Date : 2018-10-01 DOI: 10.1109/CONIITI.2018.8587097
P. Arias-Espinoza, A. Medina-Carrión, V. Robles-Bykbaev, Y. Robles-Bykbaev, F. Pesántez-Avilés, J. Ortega, D. Matute, V. Roldán-Monsalve
According to the United Nations Educational, Scientific and Cultural Organization (UNESCO), due of the rapidity of cultural change, safeguarding the world's tangible and intangible cultural heritage has become an increasingly complex and multidimensional undertaking. Therefore, it is fundamental for the children and youth of today to learn the culture, values, and traditions that define their identity as well as the identity of their nation. For these reasons in this paper, we present an interactive app aimed at supporting both teaching and rescuing the heritage of Cañari and Inca indigenous cultures. Our mobile app can be used at children's home or during the guided visits of one of the most important museums in Ecuador: the Pumapungo Museum. Likewise, the app can identify QR codes to show multimedia material to children, contains several 3D objects that are presented using Augmented Reality (AR), and incorporates a data mining module to analyze several aspects of the museum visitors (geographical information, feedback collected through a survey, etc.). The app was tested in real guided visits in the museum with 30 children from three different schools (low and middle -income), and the results show high levels of interest in the contents and the app.
根据联合国教科文组织(UNESCO)的说法,由于文化变化的迅速,保护世界上的物质和非物质文化遗产已成为一项日益复杂和多方面的工作。因此,对于今天的儿童和青年来说,学习定义他们的身份以及他们国家身份的文化、价值观和传统是至关重要的。基于这些原因,在本文中,我们提出了一个交互式应用程序,旨在支持Cañari和印加土著文化遗产的教学和拯救。我们的手机应用程序可以在儿童之家使用,也可以在导游的带领下参观厄瓜多尔最重要的博物馆之一:Pumapungo博物馆。同样,该应用程序可以识别QR码,向儿童展示多媒体材料,包含几个使用增强现实(AR)呈现的3D对象,并结合数据挖掘模块来分析博物馆游客的几个方面(地理信息,通过调查收集的反馈等)。该应用程序在博物馆的真实导游参观中进行了测试,来自三所不同学校(低收入和中等收入)的30名儿童参加了该应用程序的测试,结果显示对内容和应用程序非常感兴趣。
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引用次数: 7
Telemedicine Model Using Smart Glasses: A Physical Therapy Rehabilitation Study Protocol 使用智能眼镜的远程医疗模型:一种物理治疗康复研究方案
Pub Date : 2018-10-01 DOI: 10.1109/CONIITI.2018.8587106
F. De la Cruz, Edwin Condori-Castillo, David Mauricio, Jimmy Armas-Aguirre, Paola A. González
In this paper, a telemedicine model is proposed for health center in Peru that lack of specialized medical services. The proposed model uses Smart Glasses for online communication of images and documents that allow a multichannel and integral communication of the medical team. For the evaluation of the model, it was applied to a tele-rehabilitation scenario, making it possible to speed up the patient care process, and whose evidence shows that the proposal constitutes a necessary tool for the remote execution of medical procedures, remote assistance, and teaching.
本文针对秘鲁缺乏专业医疗服务的卫生中心,提出了一种远程医疗模式。所提出的模型使用智能眼镜进行图像和文档的在线交流,从而允许医疗团队进行多渠道和完整的交流。为了评估该模型,将其应用于远程康复方案,从而有可能加快患者护理过程,其证据表明,该提案是远程执行医疗程序、远程援助和教学的必要工具。
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引用次数: 3
2018 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI) Committee List 2018国际工程创新与趋势大会(CONIITI)委员会名单
Pub Date : 2018-10-01 DOI: 10.1109/coniiti.2018.8587110
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引用次数: 0
Improvement in Delivery Times of a Logistic Operator 物流运营商交货时间的改进
Pub Date : 2018-10-01 DOI: 10.1109/CONIITI.2018.8587065
C. Rodriguez, Gino Viacava, J. Salazar, José Carlos Alvarez Merino
The logistic problem consists in a delay caused by lack of the sales planning of the logistic services freight transport, which cause failure to meet delivery lead time. For this is realized: i) a collection of not conformities, ii) an innovative proposal based in the implementation of the lean philosophy, trough Just in Time, line balance and Kanban, iii) the results of the initial diagnostic are contrasted with the simulation of the implementation of this proposal with Arena software. The results show a potential of 53% of time process reduction and reduction of 80% in penalties.
物流问题是由于物流服务货物运输缺乏销售计划而造成的延误,导致无法满足交货期。为了实现这一点:i)不符合项的集合,ii)基于精益理念的实施的创新提案,通过及时、线平衡和看板,iii)初始诊断的结果与使用Arena软件对该提案实施的模拟进行对比。结果表明,有可能减少53%的时间过程和减少80%的处罚。
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引用次数: 0
Solar Energy Management Model for Rural Schools Without Access to the National Interconnected Power System in Peruvian Mountains 秘鲁山区无法接入国家互联电力系统的农村学校太阳能管理模式
Pub Date : 2018-10-01 DOI: 10.1109/CONIITI.2018.8587075
N. Castro, C. Raymundo, Juana Lazo, Gino Viacava
The lack of electric power decreases the possibilities of economic growth in rural areas of Peru, likewise influences the level of education in these remote areas; which in turn decreases productivity in the school classrooms; such is the case of the institution mentioned in this article located in San Isidro of Huirpacancha, in the province of Huancavelica. At present, this community has 5 educational institutions and 3 of them do not have access to electric power, due to their location, since they are approximately 7 to 10 km in a straight line from the center of the town and in turn from the lines of transmission; In addition, it is not profitable to the State or private companies to annex them to the National Interconnected Electricity System (SEIN), since the cost of installation and electrical infrastructure does not compensate for the small group of users and the low demand. For this reason, the present article proposes to offer an energy model based on a photovoltaic panel system, this technology was chosen because the district of Huaytara has a high index of solar irradiation.
缺乏电力减少了秘鲁农村地区经济增长的可能性,同样影响了这些偏远地区的教育水平;这反过来又降低了学校教室的生产力;这篇文章中提到的位于万卡维里卡省怀尔帕查的圣伊西德罗的机构就是这种情况。目前,该社区有5所教育机构,其中3所由于其地理位置而没有电力供应,因为它们距离镇中心直线距离约7至10公里,而反过来又距离输电线;此外,国家或私营公司将它们并入国家互联电力系统(SEIN)是无利可图的,因为安装和电力基础设施的费用无法弥补用户群体少和需求低的问题。因此,本文提出了一种基于光伏板系统的能源模型,由于华塔拉地区太阳辐照指数较高,因此选择了该技术。
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引用次数: 0
An IoT Camera System for the Collection of Data Using QR Code as Object Recognition Algorithm 一种利用二维码作为目标识别算法采集数据的物联网摄像系统
Pub Date : 2018-10-01 DOI: 10.1109/CONIITI.2018.8587087
Jorge Franco Ibañez, Jairo Enrique Serrano Castañeda, Juan Carlos Martínez Santos
This paper proposes an Internet Of Things (IoT) implementation for recognition of objects using videos to store data about specific objects on internet. This IoT implementation is based on a recognition algorithm for objects using the OpenCV library for Python and a Raspberry PI 3 to store the data on a web application. This set of software and hardware act as a module. The module sends requests every time an object is detected to the web application. This module requires an active connection to the Internet to allow the HTTP communication. This web application is in charge of controlling and storing the data of the objects. For the purpose of this paper, the stored data on the web application is the ID of the module, a message and a timestamps. The data is collected by the modules of the objects that belong to a pool. Also, the information of the modules and the object is listed on the web application using different views of the stored data.
本文提出了一种物联网(IoT)实现,利用视频存储互联网上特定物体的数据来识别物体。该物联网实现基于对象识别算法,使用Python的OpenCV库和Raspberry PI 3将数据存储在web应用程序上。这套软件和硬件作为一个模块。每次检测到对象时,模块都会向web应用程序发送请求。该模块需要主动连接到Internet以允许HTTP通信。这个web应用程序负责控制和存储对象的数据。在本文中,web应用程序中存储的数据是模块的ID、消息和时间戳。数据由属于一个池的对象的模块收集。此外,使用存储数据的不同视图在web应用程序上列出模块和对象的信息。
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引用次数: 6
期刊
2018 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI)
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