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Revista Ingenierias Universidad de Medellin最新文献

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Minimización del makespan para el problema de máquinas paralelas no relacionadas con tiempos de setup dependientes de la secuencia mediante un algoritmo híbrido VNS/ACO 基于VNS/ACO混合算法的与序列无关的并行机安装时间问题的最大完工时间最小化
Pub Date : 2021-04-09 DOI: 10.22395/rium.v20n38a11
E. Salazar-Hornig, Gina Andrea Soto Gavilán
Se propone una heurística híbrida combinando Variable Neighborhood Search (VNS) y Ant Colony Optimization (ACO) para resolver el problema de programación de máquinas paralelas no relacionadas con tiempos de preparación dependientes de la secuencia con el objetivo de minimizar el makespan. La búsqueda en entornos variables se propone con un esquema descendente resolviendo en una primera etapa el problema de programación de los trabajos a las máquinas, y luego, en una segunda etapa, un algoritmo ACO, reordena sucesivamente los trabajos en la máquina de mayor makespan. Se realizan pruebas experimentales sobre un conjunto de problemas de prueba de la literatura, mostrando que al aplicar la segunda etapa de la metaheurística propuesta se mejoran las soluciones obtenidas en la primera etapa del algoritmo y que al comparar los resultados obtenidos con otros métodos de la literatura resulta ser un método competitivo. 
提出了一种结合变量邻域搜索(VNS)和蚁群优化(ACO)的混合启发式算法,以最小化完工时间为目标,解决与序列无关的并行机调度问题。在可变环境中的搜索是通过一种自顶向下的方案提出的,该方案在第一阶段解决了从任务到机器的调度问题,然后在第二阶段,ACO算法依次对最大完工时间机器上的任务进行重新排序。对文献中的一组测试问题进行了实验测试,表明通过应用所提出的元启发式的第二阶段,算法第一阶段获得的解得到了改进,并将获得的结果与文献中的其他方法进行了比较,证明这是一种有竞争力的方法。
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引用次数: 0
Rural B-Learning Contexts to Support the Physics Area – An Academic Performance Analysis 支持物理领域的农村B学习环境——学业成绩分析
Pub Date : 2021-04-09 DOI: 10.22395/rium.v20n38a12
Fabinton Sotelo Gomez, Mario Solarte, Gustavo Ramirez González
In this work, the academic performance of a tenth-grade physics course of high school is analyzed over three consecutive years, a b-learning educational context is configured in a rural area based on a framework that integrates Open Educational Resources (OER) to a Learning Management System (LMS). The performance of students who used b-learning is compared to other groups that received the same classes in a traditional way.
在这项工作中,分析了高中十年级物理课程连续三年的学习成绩,基于开放教育资源(OER)和学习管理系统(LMS)的框架,在农村地区配置了b-learning教育环境。将使用b-learning的学生的表现与以传统方式接受相同课程的其他群体进行比较。
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引用次数: 0
Coffee Fun: Gamified Tool Based on the SUM Agile Development Methodology For Video Games 咖啡乐趣:基于SUM敏捷开发方法的游戏化工具
Pub Date : 2021-04-09 DOI: 10.22395/rium.v20n38a10
Manuel Esteban Jaramillo Reinel, Andrés Felipe Mera Tróchez, Katerine Márceles Villalba, G. Chanchí
In recent years, serious games have been applied in different contexts of application, highlighting their contribution in the educational context. This original type article presents the design, construction and evaluation of the Coffee Fun video game. Coffee Fun is a video serious game aimed at children aged 8 to 12 years old; the game has as a theme the growing of coffee beans in a simulation environment in which each player helps the growth of this plant by a few tools provided at each level of the game; in the game, different scenarios related to coffee growing environments are presented for each of its stages in a series of levels that the player must overcome to complete the game through a process of learning and entertainment.
近年来,严肃游戏被应用于不同的应用情境中,突出了它们在教育情境中的贡献。这篇原创文章介绍了《咖啡乐趣》电子游戏的设计、构建和评价。《Coffee Fun》是一款针对8至12岁儿童的严肃视频游戏;这款游戏的主题是在模拟环境中种植咖啡豆,每个玩家都可以通过游戏中每个关卡提供的一些工具来帮助这种植物的生长;在游戏中,与咖啡种植环境相关的不同场景呈现在一系列关卡中的每个阶段,玩家必须克服这些关卡才能通过学习和娱乐的过程完成游戏。
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引用次数: 0
Finite Element Analysis of An Evaporation System to Synthesize Kesterite thin Films 合成Kesterite薄膜蒸发系统的有限元分析
Pub Date : 2021-03-15 DOI: 10.22395/rium.v20n38a3
Carlos Eduardo Rondón Almeyda, Mónica Andrea Botero Londoño, R. Ospina Ospina
Currently, there is an interest within the scientific community in thin-film solar cells with a Kesterite (Cu2ZnSnS4) type absorber layer, since they report a theoretical efficiency greater than 32 %. The synthesis of Kesterites by evaporation has allowed for efficiencies at the laboratory level of 11.6 %. Although these are good results, the design of the evaporation chamber and the distribution of the electrodes is essential to control synthesis parameters and evaporate each precursor in the corresponding stage. This project seeks to design an evaporation chamber that can achieve a vacuum of 10-5 mbar, increase the deposition surface and avoid each precursor evaporation in a non-corresponding stage. This last objective was studied using Comsol multiphysics R. (licensed product) software, with the adequate disposition of metallic precursors (zinc, copper, and tin) determined by analyzing heat distribution. It was concluded that the lower the evaporation temperature of the precursor, the smaller the height of the copper electrode in the system. This is because, with a lower height the concentration of heat in the container is lower.
目前,科学界对具有Kesterite (Cu2ZnSnS4)型吸收层的薄膜太阳能电池很感兴趣,因为它们的理论效率大于32%。蒸发法合成凯斯特石的效率在实验室水平为11.6%。虽然这些都是很好的结果,但蒸发室的设计和电极的分布对于控制合成参数和在相应阶段蒸发每个前驱体是至关重要的。本项目寻求设计一个蒸发室,可以达到10-5 mbar的真空,增加沉积表面,避免每个前驱体在非对应阶段蒸发。最后一个目标是使用Comsol multiphysics r(授权产品)软件进行研究,通过分析热分布确定金属前体(锌、铜和锡)的适当配置。结果表明,前驱体的蒸发温度越低,系统中铜电极的高度越小。这是因为,高度越低,容器内的热量浓度越低。
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引用次数: 0
Smart Campus at the Universidad Militar Nueva Granada: Creation of Base Map and Applications for Campus Tree Monitoring 新格拉纳达军事大学的智慧校园:创建基地地图和校园树木监测应用
Pub Date : 2021-03-15 DOI: 10.22395/rium.v20n38a2
Elsa Adriana Cárdenas Quiroga
The GIS smart campuses have been constituted as an efficient system that allows the integration of information from different agencies inside universities, with the use of geographic applications developed for different types of users. This research describes general considerations to begin implementation of a smart GIS at the Nueva Granada Campus, in Cajicá. This phase was developed based on the generation of a campus base map, which is used as a spatial reference for the elaboration of all applications that require associated geographic information, as well as the implementation of a Gisweb system for the monitoring, verification, and updating of the campus trees. The result of the work provides the basis for subsequent systems and applications of location, mobility and efficacy management related with the academic and administrative activities in the university campus. 
地理信息系统智能校园是一个有效的系统,它允许整合来自大学内部不同机构的信息,并使用为不同类型的用户开发的地理应用程序。本研究描述了在cajic的新格拉纳达校区开始实施智能GIS的一般考虑因素。这一阶段是基于校园基础地图的生成而开发的,该地图被用作所有需要相关地理信息的应用程序的空间参考,以及用于监测、验证和更新校园树的Gisweb系统的实施。研究结果为高校校园中与学术和行政活动相关的位置、流动性和效能管理的后续系统和应用提供了基础。
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引用次数: 0
Assessing the Vulnerability of Power Systems Using Multilevel Programming: A Literature Review 利用多层规划评估电力系统的脆弱性:文献综述
Pub Date : 2021-03-15 DOI: 10.22395/rium.v20n38a6
Juan Pablo Hernández Valencia, J. López-Lezama, Bonie Johana Restrepo Cuestas
Vulnerability studies can identify critical elements in electric power systems in order to take protective measures against possible scenarios that may result in load shedding, which can be caused by natural events or deliberate attacks. This article is a literature review on the latter kind, i.e., the interdiction problem, which assumes there is a disruptive agent whose objective is to maximize the damage to the system, while the network operator acts as a defensive agent. The non-simultaneous interaction of these two agents creates a multilevel optimization problem, and the literature has reported several interdiction models and solution methods to address it. The main contribution of this paper is presenting the considerations that should be taken into account to analyze, model, and solve the interdiction problem, including the most common solution techniques, applied methodologies, and future studies. This literature review found that most research in this area is focused on the analysis of transmission systems considering linear approximations of the network, and a few interdiction studies use an AC model of the network or directly treat distribution networks from a multilevel standpoint. Future challenges in this field include modeling and incorporating new defense options for the network operator, such as distributed generation, demand response, and the topological reconfiguration of the system.f the system.
脆弱性研究可以确定电力系统中的关键因素,以便采取保护措施,防止可能由自然事件或故意攻击引起的可能导致负荷下降的情况。本文是对后一种问题的文献综述,即拦截问题,该问题假设存在一个以对系统的损害最大化为目标的破坏主体,而网络运营商作为防御主体。这两个智能体的非同时交互产生了一个多级优化问题,文献报道了几种拦截模型和解决方法来解决这个问题。本文的主要贡献是提出了在分析、建模和解决拦截问题时应考虑的因素,包括最常见的解决技术、应用方法和未来的研究。本文献综述发现,该领域的大多数研究都集中在考虑网络线性近似的输电系统分析上,而一些阻断研究使用网络的交流模型或直接从多层角度处理配电网络。该领域未来的挑战包括为网络运营商建模和整合新的防御选项,如分布式发电、需求响应和系统的拓扑重新配置。F系统。
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引用次数: 1
Extraction of Student Interaction Data from an Open edX Platform 从开放edX平台中提取学生互动数据
Pub Date : 2021-03-15 DOI: 10.22395/rium.v20n38a5
Daniel Jaramillo-Morillo, Mario Solarte, G. Ramírez-González
The Massive Open Online Courses (MOOC) are courses available to the general public without restrictions that are offered to hundreds or thousands of students and in recent years have been presented as a revolution in online education. They are presented as an alternative to the great demand in higher education for the characteristic of being open and massive because they allow access to education to a huge number of students. They have become an ideal environment for data collection and through the application of learning analytics techniques they have allowed a better understanding of how students learn. However, access to the data from thecurrent open-source MOOC platforms is limited and often difficult to collect and process. This paper presents a proposal for collecting and processing the data from students’ interaction with the Open edX platform through Scripts and a Collector based on Java code. 
大规模开放在线课程(MOOC)是向公众提供的无限制课程,面向数百或数千名学生,近年来被视为在线教育的一场革命。它们以开放和大规模的特点取代了高等教育的巨大需求,因为它们允许大量学生接受教育。他们已经成为数据收集的理想环境,通过应用学习分析技术,他们可以更好地了解学生的学习方式。然而,从当前的开源MOOC平台访问数据是有限的,而且通常很难收集和处理。本文提出了一种通过基于Java代码的脚本和收集器来收集和处理学生与Open edX平台交互中的数据的方案。
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引用次数: 0
A MOOC for Farmers: Agroclimatic Tools for Crop Protection 面向农民的MOOC:作物保护的农业气候工具
Pub Date : 2021-03-15 DOI: 10.22395/rium.v20n38a8
David Camilo Corrales, Apolinar Figueroa
Massive open online courses (MOOCs) are a key strategy for digital education. The MOOCs contribute significantly to people’s knowledge about a wide range of topics. Nowadays, several web platforms as Coursera and edX offer MOOCs in different domains, however the platforms mentioned do not offer MOOCs focused on crop management through monitoring of climate elements and factors. In this paper, we present an overview of the MOOC titled: “agroclimatic tools for crop protection” for agricultural-sector Spanish speakers. We show a first MOOC evaluation based on a survey applied to 13 people of rural areas located in Cauca (Colombia) for one video of the “Temperature” MOOC unit. The results indicated that 100 % of the respondents understood clearly the video content and 53, 84 % of the surveyed learners understood all the words used in the video.
大规模在线开放课程(MOOCs)是数字教育的关键战略。mooc极大地促进了人们对广泛话题的了解。如今,Coursera和edX等几个网络平台提供不同领域的mooc,但上述平台没有提供通过监测气候要素和因素进行作物管理的mooc。在本文中,我们为农业部门的西班牙语使用者提供了题为“作物保护的农业气候工具”的MOOC概述。我们展示了基于对考卡(哥伦比亚)农村地区13人的“温度”MOOC单元视频的调查的第一个MOOC评估。结果表明,100%的被调查者能够理解视频内容,53.84%的被调查者能够理解视频中使用的所有单词。
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引用次数: 1
Estimación de los parámetros del modelo de un solo diodo del módulo fotovoltaico aplicando el método de optimización basado en búsqueda de patrones mejorado 应用改进模式搜索优化方法估计光伏组件单二极管模型参数
Pub Date : 2021-03-14 DOI: 10.22395/rium.v20n38a1
A.F. Tobón Mejía, Jhon Jairo Rojas Montano, Sergio Ignacio Serna Garces, J.A. Herrera Cuartas
En este artículo se propone el uso de un algoritmo de optimización basado en la búsqueda de patrones mejorada, aplicándolo a la estimación de los parámetros modelo de un diodo de una célula fotovoltaica. Los parámetros a estimar son corriente fotovoltaica, la saturación de corriente del diodo, la resistencia serie, la resistencia en paralelo y el factor de idealidad del diodo. La estimación es hecha a partir de los datos obtenidos de una curva conocida, es decir, que la celda fotovoltaica puede caracterizarse y los parámetros son extraídos de los datos de la curva. Los resultados son la identificación de los parámetros y la exactitud del modelo con respecto a la referencia en el punto de máxima potencia (MPP). Adicionalmente se realiza una comparación con el modelo obtenido con tres estimaciones realizadas con el algoritmo de optimización enjambre de partículas (PSO), bajo las mismas condiciones en cantidad de partículas y de iteraciones. El error encontrado muestra la similitud del modelo con la referencia obtenida de acuerdo con el algoritmo IPSM.
本文提出了一种基于改进模式搜索的优化算法,并将其应用于光伏电池二极管模型参数的估计。要估计的参数有光伏电流、二极管电流饱和、串联电阻、并联电阻和二极管理想因子。估计是根据从已知曲线中获得的数据作出的,即光伏电池可以被表征,并从曲线数据中提取参数。结果是参数的识别和模型相对于最大功率点(MPP)参考的准确性。在此基础上,利用粒子群优化算法(PSO)在相同粒子数量和迭代条件下进行了三次估计,并与模型进行了比较。结果表明,该模型与IPSM算法得到的参考具有相似之处。
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引用次数: 1
Selection of Online Network Traffic Discriminators for on-the-Fly Traffic Classification 动态流量分类中在线网络流量判别器的选择
Pub Date : 2021-03-08 DOI: 10.22395/rium.v20n38a4
Angela María Vargas Arcila, Juan Carlos Corrales Muñoz, Alvaro Rendon Gallon, A. Sanchis
There are several techniques to select a set of traffic features for traffic classification. However, most studies ignore the domain knowledge where traffic analysis or classification is performed and do not consider the always moving information carried in the networks. This paper describes a selection process of online network-traffic discriminators. We obtained 24 traffic features that can be processed on the fly and propose them as a base attribute set for future domain-aware online analysis, processing, or classification. For the selection of a set of traffic discriminators, and to avoid the inconveniences mentioned, we carried out three steps. The first step is a context knowledge-based manual selection of traffic features that meet the condition of being obtained on the fly from the flow. The second step is focused on the quality analysis of previously selected attributes to ensure the relevance of each one when performing a traffic classification. In the third step, the implementation of several incremental learning algorithms verified the usefulness of such attributes in online traffic classification processes. 
有几种技术可以选择一组用于流分类的流特征。然而,大多数研究忽略了进行流量分析或分类的领域知识,没有考虑到网络中携带的始终移动的信息。本文描述了在线网络流量鉴别器的选择过程。我们获得了24个可以实时处理的流量特征,并将它们作为基础属性集,用于未来的领域感知在线分析、处理或分类。为了选择一组流量鉴别器,并避免上述不便,我们进行了三个步骤。第一步是基于上下文知识的交通特征的人工选择,这些特征满足从流中动态获得的条件。第二步侧重于对先前选择的属性进行质量分析,以确保在执行流量分类时每个属性的相关性。在第三步,几个增量学习算法的实现验证了这些属性在在线流量分类过程中的有用性。
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引用次数: 0
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Revista Ingenierias Universidad de Medellin
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