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2020 XLVI Latin American Computing Conference (CLEI)最新文献

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A mobile game based on participatory sensing with real-time client-server architecture for large entertainment events 一种基于参与式感知的手机游戏,采用实时客户端-服务器架构,用于大型娱乐活动
Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00045
Gustavo Martins, Rosiane de Freitas, Bruno F. Gadelha
Using mobile devices is part of modern daily life for communication, work, and leisure. Its use in entertainment events such as music concert and sports games is easily noted. Thus, in this work, we investigate how these devices can increase engagement in entertainment events. For this, we developed a collaborative game called Cabo DIGuerra that uses motion and audio sensors in an interactive dynamic with the audience using concepts from Mobile Crowd Sensing and User eXperience. The game was evaluated through experimental studies both in a controlled environment and in real use scenarios of the application, highlighting its educational potential beyond entertainment.
使用移动设备是现代日常生活的一部分,用于交流、工作和休闲。它在音乐会和体育比赛等娱乐活动中的使用很容易注意到。因此,在这项工作中,我们研究了这些设备如何提高娱乐活动的参与度。为此,我们开发了一款名为《Cabo DIGuerra》的合作游戏,该游戏利用移动人群感知和用户体验的概念,在互动动态中使用动作和音频传感器。通过在受控环境和应用程序的实际使用场景中进行实验研究,对该游戏进行了评估,突出了它在娱乐之外的教育潜力。
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引用次数: 1
Microservices-based Approach for a Collaborative Business Process Management Cloud Platform 基于微服务的协同业务流程管理云平台方法
Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00022
D. Cocconi, P. Villarreal
Nowadays, as a result of the adoption of new Internet technologies like cloud computing and emerging business models, organizations are able to establish collaborative networks for executing Collaborative Business Processes (CBPs) in a flexible way. Current approaches of Process-Aware Information Systems (PAISs) for implementing and executing CBPs have shortcomings, not only related to the services offered, but also about issues typical of the technological solution chosen, such as portability, elasticity, and privacy when they are cloud-based. Portability refers to the dependency that is created due to the heterogeneity of the services offered by different cloud providers, elasticity defines the degree to which a system is able to adapt to workload changes by provisioning and de-provisioning resources in an autonomic manner, and privacy refers to sensitive information that is expected to be hidden from others. Then, the purpose of this work is to define an adequate cloud architecture for a CBPs management platform which faces these issues. To do so, starting from a definition of a cloud platform architecture that solves (almost all) the shortcomings for the CBPs services offered, an enhancement making use of the microservices paradigm is proposed, overcoming the identified difficulties.
如今,由于采用了云计算和新兴业务模型等新的互联网技术,组织能够以灵活的方式建立协作网络来执行协作业务流程(CBPs)。当前用于实现和执行cbp的流程感知信息系统(pais)方法存在缺点,不仅与所提供的服务有关,而且与所选择的技术解决方案的典型问题有关,例如基于云的可移植性、弹性和隐私性。可移植性指的是由于不同云提供商提供的服务的异质性而产生的依赖性,弹性定义了系统能够通过以自主方式提供和取消资源来适应工作负载变化的程度,隐私性指的是期望对其他人隐藏的敏感信息。然后,这项工作的目的是为面临这些问题的CBPs管理平台定义一个适当的云架构。为此,从解决所提供的CBPs服务的(几乎所有)缺点的云平台架构的定义开始,提出了利用微服务范式的增强,以克服已确定的困难。
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引用次数: 0
A network-based analysis of medical information extracted from electronic medical records 从电子病历中提取医疗信息的基于网络的分析
Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00007
R. Reátegui, S. Ratté, Estefanía Bautista-Valarezo, J. F. Beltran-Valdivieso
Clinical notes constitute a rich source of medical information that could be useful in identifying graphs of patients with similar characteristics. Network-based approaches permit to visualize associations between medical entities and to infer medical knowledge. This paper aims to apply such an approach to identify the graphs of obesity patients as well as relationships between diseases and treatments extracted from discharge summaries. Two experiments were designed. In the first experiment, a 412-node graph representing patients was constructed to identify patient groups. Graphs were obtained with the modularity function. In the second, some bipartite graphs were constructed to identify disease-treatment relationships from patient graphs. The results were congruent in both experiments. Patient graphs corresponding to obese patients with diseases derived from a metabolic problem were identified; some had infectious diseases, while others had diseases derived from a mechanical problem. Furthermore, graphs of diseases and treatments related to obesity could be observed. This work identified obesity-patient graphs and relationships between diseases and treatments based on a network approach, which took into account information extracted from clinical notes.
临床记录构成了丰富的医学信息来源,可用于识别具有相似特征的患者图表。基于网络的方法允许可视化医学实体之间的关联,并推断医学知识。本文旨在应用这种方法来识别肥胖症患者的图表以及从出院摘要中提取的疾病与治疗之间的关系。设计了两个实验。在第一个实验中,我们构建了一个412节点的患者图来识别患者群体。利用模块化函数得到图形。在第二部分中,构造了一些二分图来从患者图中识别疾病-治疗关系。两个实验的结果是一致的。确定了患有代谢问题引起的疾病的肥胖患者的患者图;一些人患有传染病,而另一些人的疾病是由机械问题引起的。此外,还可以观察到与肥胖有关的疾病和治疗的图表。这项工作基于网络方法确定了肥胖患者的图表以及疾病和治疗之间的关系,该方法考虑了从临床记录中提取的信息。
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引用次数: 0
Understanding Learners Behavior in Massive Open Online Courses 大规模在线开放课程中学习者行为的研究
Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00050
Jorge Maldonado-Mahauad, Mauricio Calle, Miguel Macías, Christian Moreira, Edwin Narvaez, David Valladarez
Massive Open Online Courses (MOOCs) are one of the most disruptive trends of recent years, attracting millions of students around the world. This has caught the attention of researchers who seek to understand the behavior of students in these courses. However, despite the efforts, approval rates remain below 5%, so more efforts are needed to understand why students end a MOOC or not. The goal of this work is to study learner's behavior in a MOOC. Specifically, it seeks to understand student interaction sequences with course resources and characterize their study sessions throughout MOOC weeks. For this, using Process Mining techniques, data from N = 38,838 learners enrolled in a MOOC in Coursera were analyzed. As a result of the analysis of learner's interactions with MOOCs, two groups of students were observed as comprehensive and strategic. In addition, differences in learning sequences were found among students from both groups who approved the MOOC. These results help advance current literature and open the debate about whether MOOCs remain open courses or a digital book.
大规模在线开放课程(MOOCs)是近年来最具颠覆性的趋势之一,吸引了全球数百万学生。这引起了研究人员的注意,他们试图了解学生在这些课程中的行为。然而,尽管做出了努力,但满意率仍低于5%,因此需要更多的努力来了解学生们为什么会结束MOOC课程。本研究的目的是研究MOOC中学习者的行为。具体来说,它试图了解学生与课程资源的互动顺序,并在MOOC周内描述他们的学习课程。为此,使用过程挖掘技术,分析了在Coursera上注册MOOC的N = 38,838名学习者的数据。通过对学习者与mooc互动的分析,我们观察到两组学生是全面的和战略性的。此外,两组认可MOOC的学生在学习顺序上也存在差异。这些结果有助于推进当前的文献,并开启了关于mooc是开放课程还是电子书的辩论。
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引用次数: 0
Multi-objective Optimization of a Steady-State Rotary Dryer 稳态旋转干燥机的多目标优化
Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00018
B. Barán, C. Oviedo, M. M. Galeano
The multiobjective optimization of a direct current rotary dryer that operates with pozzolan is detailed in this article. Three objective functions in steady state are minimized using a NSGA-II algorithm, these are: (1) moisture at the exit of the rotary dryer, (2) heat released to the environment through the dryer and (3) operating costs of the production process. Furthermore, the optimum operating conditions of the drying process are obtained and compared with the real process. Experimental results prove the ability of the proposed algorithm to decrease the moisture content of pozzolana by 28%, the heat released to the environment by 38% and the operating costs by 52%.
本文详细介绍了一种以火山灰为原料的直流旋转干燥机的多目标优化问题。使用NSGA-II算法最小化稳态下的三个目标函数,它们是:(1)旋转干燥机出口的水分,(2)通过干燥机释放到环境中的热量和(3)生产过程的运行成本。在此基础上,得出了干燥过程的最佳操作条件,并与实际过程进行了比较。实验结果表明,该算法可使火山灰含水率降低28%,向环境释放的热量降低38%,运行成本降低52%。
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引用次数: 0
PriBB: A Benchmark Proposal to Analyze Blockchain Applications Performance PriBB:分析区块链应用程序性能的基准提案
Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00044
R. Righi, Anderson Gautério, L. M. Policarpo, A. H. Mayer, C. Costa
Blockchain is an emerging technology that has gained a lot of visibility in recent years due to its characteristics of transparency and immutability. Many studies have been carried out in order to use this technology in the financial industry, but there are still issues regarding scalability that need to be resolved before the technology can be used. In the literature there are works that perform Blockchain performance analysis of the private model, making comparisons between different platforms. However, no work was found regarding the analysis of the impact that changing parameters has on the performance of private model Blockchain applications. In this context, this article introduces PriBB that contributes to the literature regarding the proposal of a benchmark to evaluate the performance of private model Blockchain applications. In particular, it focuses on the impact that the parameters of block size and interval between blocks have on the performance of applications, since no equivalent work has been found in the literature. The PriBB was evaluated in a real data center environment and aims to assist in the optimization of parameterization of Blockchain applications of the private model. The results are promising and demonstrate that a given parameter can impact more than 100 times the performance in running Blockchain applications.
区块链是一项新兴技术,近年来由于其透明度和不可变性的特点而获得了很多关注。为了在金融行业中使用这项技术,已经进行了许多研究,但在使用这项技术之前,仍然存在有关可扩展性的问题需要解决。在文献中,有作品对私有模型进行区块链性能分析,在不同平台之间进行比较。然而,没有发现关于改变参数对私有模型区块链应用程序性能影响的分析工作。在这种情况下,本文介绍了PriBB,它为有关评估私有模型区块链应用程序性能的基准建议的文献做出了贡献。特别是,它侧重于块大小和块之间的间隔参数对应用程序性能的影响,因为在文献中没有发现等效的工作。PriBB在真实数据中心环境中进行了评估,旨在帮助优化私有模型的区块链应用的参数化。结果是有希望的,并表明给定的参数可以影响运行区块链应用程序的性能100倍以上。
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引用次数: 0
SIGHU: Automation of Urgency Service of the Hospital de Clínicas sigu:医院急诊服务自动化Clínicas
Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00056
Alvaro Vicente León Silvano, M. E. García-Díaz, D. Pinto-Roa, Héctor David Ocampos Negreiros, Marcelo Pederzani
This work proposes a solution to the problem of management automation in the Emergency Department of the Hospital de Clínicas of the National University of Asunción. This tool will generate benefits for both the patient and the hospital's target staff, since by computerizing the processes, which is still done manually, there will be more time to dedicate better care to the patient and doctors could spend part of their time analyzing the statistics and information, that can be generated through the application to carry out investigations in the emergency care area, as well as optimize the resources of both, the staff and the logistics used in the Hospital. To achieve the main objective of this work, an application based on international health standards has been developed, as well as good practices in the care processes in an extremely sensitive area such as the Emergency Department. With this application it is possible to innovate in the Emergency Department, given that after more than 100 years of history of the Hospital, for the first time it intends to automate processes and generate online information quickly and efficiently from this modern tool optimizing attention to patients in the emergency area.
本工作针对Asunción国立大学Clínicas医院急诊科管理自动化问题提出了解决方案。这个工具将生成的好处对于病人和医院的目标的员工,因为通过计算机化过程,这还是手工的,将会有更多的时间来奉献更好的治疗病人和医生可以把部分时间花在分析数据和信息,可以通过生成应用程序在急诊区进行调查,以及优化的资源,在医院使用的工作人员和物流。为了实现这项工作的主要目标,根据国际卫生标准制定了一项应用程序,并在急诊科等极其敏感的领域制定了护理过程中的良好做法。有了这个应用程序,它有可能在急诊科进行创新,考虑到经过100多年的医院历史,它第一次打算自动化流程,并通过这个现代工具快速有效地生成在线信息,优化对急诊科患者的关注。
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引用次数: 0
A Mobile Crowdsensing-Based Solution for Online Bus Tracking 一种基于移动众感的在线公交跟踪解决方案
Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00046
F. R. Rocha, Michelle S. Wangham
Real-time Bus Tracking is a critical part of an efficient public transport system. However, some current solutions are financially costly and inconsistent because of the unavailability of GPS signals or mobile data network. This paper describes a novel bus tracking solution based on the mobile crowd-sensing paradigm. Our proposed solution addresses the unavailability problems, cost-effectiveness, and security issues in collaborative sensing. As proof of concept, we implemented a prototype and evaluated its functionality, energy consumption, and performance. The obtained results show the use of crowd-sensing and low cost hardware are promising for real-time bus tracking.
实时公交车跟踪是高效公共交通系统的重要组成部分。然而,由于无法获得GPS信号或移动数据网络,目前的一些解决方案在财务上成本高昂且不一致。本文提出了一种基于移动人群感知范式的公交跟踪解决方案。我们提出的解决方案解决了协作传感中的不可用性问题、成本效益问题和安全问题。作为概念验证,我们实现了一个原型,并评估了它的功能、能耗和性能。结果表明,利用人群传感和低成本硬件实现实时公交跟踪是有希望的。
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引用次数: 0
Interactive Competency-Based Curriculum Visualizations to Map and Analyze an Academic Computing Program 交互式能力为基础的课程可视化映射和分析学术计算程序
Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00070
Leidy Johanna Carvajal Ortiz, Beatriz Eugenia Florián Gaviria
Higher education institutions usually show their curricula designs as static images. These images communicate the syllabus structure and elements to stakeholders. The curricula visualization area is growing interest in supporting description of competency-based curricula, curriculum analysis, and showing clear evidence of the relationship between the graduation profile and curriculum elements. This area also makes comparisons between curricula and international references; particularly in the case of computing programs, the ACM/IEEE Computing Curricula. So far, the vast majority of curriculum visualizations are static. These visualizations do not show all concepts and relationships of the curriculum, especially in the case of a competency-based curriculum. The visualization of a competency-based curriculum is a great challenge. Having so many concepts makes visualization more difficult to understand. All in all, it is necessary to develop: 1) a set of interactive visualizations with a filtering mechanism to facilitate navigation, understand concepts, and enlighten curriculum relationships, 2) visualizations that will check the relationship between competencies of the graduation profile and curriculum elements, and 3) visualizations that allow comparison with international references such as the ACM/IEEE Computing Curriculum. This work presents a prototype with nine interactive visualizations for competency-based curriculum in computing programs, which attend the above list of three needs. This prototype tool was tested and validated during the curricular reform of academic programs of the School of Systems Engineering and Computing (EISC) in the Universidad del Valle.
高等教育机构通常以静态图像的形式展示其课程设计。这些图像向利益相关者传达教学大纲的结构和元素。课程可视化领域对支持基于能力的课程描述、课程分析和显示毕业概况与课程要素之间关系的清晰证据越来越感兴趣。该领域还对课程和国际参考文献进行比较;特别是在计算机程序方面,ACM/IEEE计算机课程。到目前为止,绝大多数课程可视化都是静态的。这些可视化并不能显示课程的所有概念和关系,特别是在基于能力的课程中。能力课程的可视化是一个巨大的挑战。拥有如此多的概念使得可视化更加难以理解。总而言之,有必要开发:1)一套带有过滤机制的交互式可视化,以方便导航,理解概念,并启发课程关系;2)检查毕业简介能力与课程元素之间关系的可视化;3)允许与国际参考文献(如ACM/IEEE计算课程)进行比较的可视化。这项工作提出了一个原型与九个交互式可视化的能力为基础的课程在计算程序,参加上述三个需求列表。该原型工具在Valle大学系统工程与计算学院(EISC)的学术课程改革中进行了测试和验证。
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引用次数: 1
System with Optical Mark Recognition Based on Artificial Vision for the Processing of Multiple Selection Tests in School Competitions 基于人工视觉的光学标记识别系统在学校竞赛选择题处理中的应用
Pub Date : 2020-10-01 DOI: 10.1109/CLEI52000.2020.00027
Carlos Yinmel Castro Buleje, Y. P. Atencio, Enrique Edgardo Condor Tinoco
The present study originated with the need to automate the process of qualification of multiple selection tests in school competitions at a low cost, this was done using the technology of optical mark recognition (OMR) with artificial vision algorithms for answer cards fill circles type and with conventional scanning devices, it was possible to determine the level of precision based on four important issues: economic cards, detection and correction of cards with amendments, student coding and time reading, the results show an accuracy 97.21% for the primary level and 99.24% for the secondary level that allowed to create images with the qualified tests taking into account the correct, incorrect and blank answers and printing the respective score, also the detection and storage of errors in reading was made due to printing and scanning errors, this solution allows time saving considerable since it was achieved a qualification time of 0.83 seconds for the primary level and 0.65 seconds for the secondary level, the present solution will allow the educational institutions that organize school competitions to be able to access this technology together with an integral registration system.
本研究的出发点是需要以低成本自动化学校竞赛中多项选择考试的资格认证过程,这是使用光学标记识别技术(OMR)与人工视觉算法来完成答题卡填充圆圈类型和传统扫描设备,可以根据四个重要问题确定精度水平:经济卡片,检测和纠正卡片的修改,学生编码和时间阅读,结果显示97.21%的初级水平和99.24%的二级水平,允许创建图像与合格的测试考虑正确,不正确和空白的答案和打印各自的分数,也检测和存储错误的阅读是由于打印和扫描错误。这个解决方案可以节省大量的时间,因为它达到了0.83秒的初级水平和0.65秒的中级水平的资格认证时间,目前的解决方案将允许组织学校比赛的教育机构能够与一个完整的注册系统一起使用这项技术。
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引用次数: 0
期刊
2020 XLVI Latin American Computing Conference (CLEI)
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