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2019 XLV Latin American Computing Conference (CLEI)最新文献

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Fire Department System of Paraná - Geolocation for Meteorological Alerts 消防部门系统的paranar -气象警报地理位置
Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235088
Christian Mendes, L. Almeida, Carlo Moro, Douglas Soares
This paper presents the implementation of the new Meteorological Alert Service of the State of Paraná, using an international protocol. The service is a mobile application integrated with government services, the Fire Department and Civil Defense of Paraná. The main objective of the implemented software is the dissemination of useful meteorological alerts for citizens, making it available on their mobile devices, regardless of the access location.
本文介绍了利用国际协议建立新的帕拉纳州气象警报服务的实施情况。该服务是一个集成了政府服务、消防部门和帕拉纳民防部门的移动应用程序。所实施的软件的主要目的是向公民传播有用的气象警报,使其可以在其移动设备上使用,无论其访问位置如何。
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引用次数: 0
Value-at-Risk prediction for the Brazilian stock market: A comparative study between Parametric Method, Feedforward and LSTM Neural Network 巴西股市风险价值预测:参数方法、前馈和LSTM神经网络的比较研究
Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235095
Daniel Reghin, F. Lopes
Value-at-Risk (VaR) as a risk quantification mechanism has more than one calculation method, one of which is the parametric method. In the bibliographic study, it was identified that the parametric method is not effective for all market moments, such as those of crisis or abrupt changes in behavior. This study, therefore, seeks to verify whether other methods of calculation are more efficient, such as the use of neural networks. This study compared the VaR calculation using the parametric method against the use of Feedforward neural networks and Long Short-Term Memory (LSTM) recurrent networks. It used the B3 São Paulo Stock Exchange, IBOVESPA, as the index of study. For the parametric method, volatility models such as standard deviation, Exponentially Weighted Moving Average (EWMA) and Generalized Autoregressive Conditional Heteroskedasticity (GARCH) were tested. For neural networks, different layers and amounts of neurons, activation functions, use of different predictors and incorporation of macroeconomic data were explored. The result of the experiment showed that LSTM networks had a better performance when comparing the exception rate generated by the entire model. When analyzing periods of crisis or abrupt changes in behavior, LSTM and Feedforward networks were less efficient in predicting VaR compared to the parametric method.
风险价值作为一种风险量化机制,其计算方法不止一种,其中一种就是参数法。在文献研究中,我们发现参数方法并不是对所有的市场时刻都有效,例如危机时刻或行为突变时刻。因此,本研究试图验证其他计算方法是否更有效,例如使用神经网络。本研究比较了使用参数方法计算VaR与使用前馈神经网络和长短期记忆(LSTM)循环网络。它使用B3 圣保罗证券交易所(IBOVESPA)作为研究指标。对于参数方法,对标准差、指数加权移动平均(EWMA)和广义自回归条件异方差(GARCH)等波动模型进行了检验。对于神经网络,探讨了不同层次和数量的神经元、激活函数、不同预测因子的使用以及宏观经济数据的结合。实验结果表明,在比较整个模型产生的异常率时,LSTM网络具有更好的性能。在分析危机时期或行为突变时,与参数方法相比,LSTM和前馈网络在预测VaR方面效率较低。
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引用次数: 2
A generic BPMS user portal for business processes execution interoperability 用于业务流程执行互操作性的通用BPMS用户门户
Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235117
Andrea Delgado, Daniel Calegari
Business Process Management System (BPMS) integrates several software modules to support the business process (BP) lifecycle. A process modeler, process engine, a web portal for interaction with users, and a REST/SOAP API which exposes operations from the engine are key ones. In previous works we have evaluated several BPMS identifying similarities in terms of the concepts they manage in their user portals and the APIs they expose, and how the user portals became highly coupled to the underlying process engine through the provided API. We proposed a generic user portal that makes invocations to a generic API decoupling the portal from the specific process engine it invokes, which can be exchanged through the generic API invocation to different process engines. In this paper we present an extension of this work by adding concepts to the generic API and data model, a comparative analysis between BPMS, as well as the implementation of adapters for three different engines to show its capabilities.
业务流程管理系统(BPMS)集成了多个软件模块来支持业务流程(BP)的生命周期。关键是流程建模器、流程引擎、用于与用户交互的web门户,以及公开来自引擎的操作的REST/SOAP API。在以前的工作中,我们已经评估了几个BPMS,根据它们在用户门户中管理的概念和它们公开的API确定了相似性,以及用户门户如何通过提供的API与底层流程引擎高度耦合。我们提出了一个通用用户门户,它对通用API进行调用,将门户与其所调用的特定流程引擎解耦,可以通过对不同流程引擎的通用API调用进行交换。在本文中,我们通过向通用API和数据模型中添加概念、BPMS之间的比较分析以及为三种不同引擎实现适配器以显示其功能,对这项工作进行了扩展。
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引用次数: 4
Multi-objective Optimization for a Commercial Datacenter in Paraguay 巴拉圭商业数据中心的多目标优化
Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235106
Javier Meden, Felipe Stuardo, B. Barán
This work presents the implementation of a Resource Optimizer System for a commercial datacenter in Paraguay, which offers cloud services and uses Citrix Hypervisor (XenServer) as virtualization platform. To solve the VMP problem in a real environment, an automatic data collection module was implemented to periodically obtain the status of the datacenter resources. An especially design multi-objective memetic algorithm was also implemented to recommend improvements on the virtual machine placement, when needed. Three objective functions were considered: (1) power consumption minimization, (2) network traffic minimization and (3) economical revenue maximization. Finally, recommendations were applied in the datacenter and measurements of the used resources were made, minimizing power consumption at 29%, minimizing network traffic up to 50% while maintaining to maximum the economical revenue.
本工作介绍了巴拉圭一个商业数据中心的资源优化器系统的实现,该数据中心提供云服务并使用Citrix Hypervisor (XenServer)作为虚拟化平台。为了解决实际环境中的VMP问题,实现了数据自动采集模块,定期获取数据中心资源的状态。一个特别设计的多目标模因算法也被实现,在需要的时候建议改进虚拟机的位置。考虑了三个目标函数:(1)功耗最小化;(2)网络流量最小化;(3)经济收益最大化。最后,在数据中心中应用了建议,并对使用的资源进行了测量,将功耗降低到29%,将网络流量降低到50%,同时保持最大的经济收入。
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引用次数: 0
Models, methods and software prototype to support the design, evaluation, and analysis in the curriculum management of competency-based for higher education 基于能力的高等教育课程管理设计、评价和分析的模型、方法和软件原型
Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235114
Leidy Carvajal-Ortiz, Beatriz Florian-Gaviria, J. F. Díaz
Many higher education institutions spend decades transforming their content-based to competency-based curricula. Furthermore, there is a clear tendency to improve summative to formative assessment, which demonstrates the learning process of students by measuring their learning outcomes. However, combining curriculum design, evaluation, and analysis of competencybased educational processes is a difficult task to implement in practice. For the design, it is necessary to understand a whole conceptual framework, also to comply with restrictions of the University, Faculty and Academic Unit, define clear models and methods for the curricular reform processes. Then, to implement them, technological support is required to make a more detailed evaluation and analysis. The lack of technological tools to support these processes makes it even more difficult. This work shows the work carried out so far in the framework of the curricular reform of the programs of the Faculty of Engineering of the Universidad del Valle and led by the Escuela de Ingeniería de Sistemas y Computación (EISC). In this review of conceptual references for the development of a curriculum management proposal that involves the definition of a curriculum design method supported by a software prototype to manage the processes of curriculum management in the medium term. This paper first shows a systematic review of software models and applications used to support the design, evaluation, and analysis of courses that may be useful in higher education. These models and applications are focused on the design, the formative evaluation by competences and the analysis of the learning outcomes of the students in the learning processes. Second, the elements of the review are identified for the construction of a curriculum design model, including the definition of a new evaluation system that facilitates the analysis of competency-based learning. A particular challenge of this model is to obtain a quantitative grade depending on the detailed evaluation of the student’s learning outcomes. For the EISC, it is also necessary to link the learning objectives of the new curriculum to those proposed by the Computer Science Curricula 2013 (CS2013). Finally, in the future work, the model should serve to produce learning analytics that allows measuring the level of the program and academic unit. Third, the proposed model for EISC curriculum management and advances in the software prototype is presented. Finally, validation is presented at the ESIC, where some proffesors designed their courses using the proposed model.
许多高等教育机构花了几十年的时间将基于内容的课程转变为基于能力的课程。此外,总结性评估有明显的向形成性评估转变的趋势,通过衡量学生的学习成果来展示学生的学习过程。然而,将基于能力的教育过程的课程设计、评估和分析结合起来,在实践中是一项困难的任务。对于设计,有必要了解整个概念框架,也要遵守大学,学院和学术单位的限制,为课程改革过程定义明确的模型和方法。然后,为了实现这些目标,需要技术支持,进行更详细的评估和分析。由于缺乏支持这些过程的技术工具,使其更加困难。这项工作显示了迄今为止在山谷大学工程学院课程改革框架内开展的工作,由Ingeniería de Sistemas y Computación (EISC)领导。本文回顾了课程管理建议的概念参考,包括定义一种由软件原型支持的课程设计方法,以管理中期的课程管理过程。本文首先展示了用于支持课程设计、评估和分析的软件模型和应用程序的系统回顾,这些课程可能在高等教育中有用。这些模型和应用侧重于设计、能力形成性评价和学生在学习过程中的学习成果分析。其次,为构建课程设计模型确定了审查的要素,包括定义一个新的评估系统,以促进对基于能力的学习的分析。这种模式的一个特殊挑战是根据对学生学习成果的详细评估来获得定量评分。对于EISC来说,还需要将新课程的学习目标与《计算机科学课程2013》(CS2013)提出的学习目标联系起来。最后,在未来的工作中,该模型应该用于产生学习分析,允许测量程序和学术单元的水平。第三,介绍了EISC课程管理模型及其软件原型的研究进展。最后,在ESIC上进行了验证,一些教授使用所提出的模型设计了他们的课程。
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引用次数: 7
Providing Data Integrity in Graph Databases 在图形数据库中提供数据完整性
Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235073
Fábio Reina, A. Luiz, Luciana Rech, Hylson Vescovi Netto, Frank Siqueira
The profusion of the Internet in the daily lives of people and organizations has triggered the production of a highly connected mass data, which encourages the use of non-traditional database technologies. In this context, graph databases have been gaining notoriety, for having facilities regarding the modeling of complex data, as well as for providing better performance on query processing. On the other hand, as it is a relatively new technology, implementations of graph database management systems still lack mechanisms to deal with maintaining data integrity. In this sense, this work introduces a solution for providing integrity (eg, verification and maintenance) of the data stored in a graph database.
互联网在人们和组织的日常生活中的丰富,引发了高度连接的海量数据的产生,这鼓励了非传统数据库技术的使用。在这种情况下,图数据库因具有复杂数据建模的功能以及在查询处理方面提供更好的性能而名声大噪。另一方面,由于它是一种相对较新的技术,图形数据库管理系统的实现仍然缺乏处理维护数据完整性的机制。从这个意义上说,这项工作介绍了一种解决方案,用于提供存储在图形数据库中的数据的完整性(例如,验证和维护)。
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引用次数: 0
Structuring a Folksonomy in a Community of Questions and Answers 在问答社区中构建民间分类法
Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235090
Paulo Diogo Rodrigues Leão, S. Siqueira
Knowledge communities are composed of individuals who share the same interests and voluntarily work together to expand knowledge and understanding of a domain through learning and sharing. When a user asks a question in a knowledge community, he or she may usually add tags to categorize the question. These tags make it easy for experts to find the question and then answer it. One of the problems with this tagging system is that there is no hierarchy to aid in the search for broader themes. This study proposes a way of hierarchizing the folksonomy of an online knowledge community. In order to verify the applicability of the proposed approach, we used the Stack Exchange’s biology community. Through a crowdsourcing evaluation it was possible to show that the developed approach performed better than other heuristics and it was also possible to identify quality issues on the description of WordNet synsets.
知识社区是由具有相同兴趣并自愿一起工作的个人组成的,通过学习和共享来扩展知识和对领域的理解。当用户在知识社区中提出问题时,他或她通常会添加标签来对问题进行分类。这些标签使专家很容易找到问题,然后回答它。这个标签系统的一个问题是,没有层次结构来帮助搜索更广泛的主题。本研究提出了一种在线知识社区民间分类法的分层方法。为了验证所提出方法的适用性,我们使用了Stack Exchange的生物社区。通过众包评估,有可能表明开发的方法比其他启发式方法执行得更好,并且也有可能识别WordNet同义词集描述的质量问题。
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引用次数: 1
Pentest on Internet of Things Devices 测试物联网设备
Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235111
Cristoffer Leite, J. Gondim, P. S. Barreto, Marcos F. Caetano, E. Alchieri
Internet of Things (IoT) is one of the key enabling technologies for an always-connected world and also a main enabler for generating information of interest in various application domains. A growing problem in recent years in this technology is security, as power-constrained devices that are typical of IoT applications may not always provide these implementations properly. These conditions can compromise entire environments and allow malicious agents to take control and perform malicious activities. In this article, we provide a summary of the principal vulnerabilities reported for IoT devices based on the OWASP Internet of Things Project, classified by test routine groups. Using models based on standard architectures to define and detail reproducible verification routines for each test, a selection of independent analyzes of each identified category was performed to ensure more comprehensive and accurate testing. Finally, the proposed routines are performed in a test environment to exemplify and ensure their operation, thus contributing to meeting the demand in the area for more accurate information and to assist in understanding the most common vulnerabilities.
物联网(IoT)是一个始终连接的世界的关键使能技术之一,也是在各种应用领域产生感兴趣的信息的主要使能器。近年来,这项技术面临的一个日益严重的问题是安全性,因为典型的物联网应用中功率受限的设备可能并不总是能够正确地提供这些实现。这些情况可能危及整个环境,并允许恶意代理控制并执行恶意活动。在本文中,我们总结了基于OWASP物联网项目的物联网设备报告的主要漏洞,并按测试例程组进行了分类。使用基于标准体系结构的模型来定义和详细说明每个测试的可重复验证例程,对每个确定的类别进行独立分析的选择,以确保更全面和准确的测试。最后,在测试环境中执行所建议的例程,以举例说明并确保它们的操作,从而有助于满足该领域对更准确信息的需求,并有助于理解最常见的漏洞。
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引用次数: 3
Modelling Traceability in Recommender Systems
Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235091
Daniel González, Libertad Tansini
Recommender Systems are valuable tools which suggest meaningful and useful items to users. In a previous research project, a real recommender system which offers personalized recommendations of items to health professionals and medical specialists in the context of Continuing Medical Education (CME) was designed and developed. Traceability helps recommender systems to generatejustifications about the criteria used for selecting the suggestions of items to the active user. This paper presents a novel approach for modelling traceability in recommender systems in the given context. The proposed approach shows how to use different levels of relationships between users to trace the origin of the recommendations. An important contribution of this research is to explain how to generalize the proposed model of traceability in recommender systems. In addition, an automated approach towards communicating the origin of the recommendations to the users is proposed.
推荐系统是有价值的工具,它向用户推荐有意义和有用的项目。在之前的一个研究项目中,设计并开发了一个真正的推荐系统,该系统可以在继续医学教育(CME)的背景下向卫生专业人员和医学专家提供个性化的项目推荐。可追溯性帮助推荐系统生成关于选择项目建议给活动用户的标准的理由。本文提出了一种在给定环境下对推荐系统的可追溯性建模的新方法。所提出的方法展示了如何使用用户之间的不同级别的关系来跟踪推荐的来源。本研究的一个重要贡献是解释了如何在推荐系统中推广所提出的可追溯性模型。此外,还提出了一种自动向用户传达推荐来源的方法。
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引用次数: 0
A Systematic Literature Review in Multi-Agent Systems: Patterns and Trends 多智能体系统的系统文献综述:模式和趋势
Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235098
M. Falcó, Gabriela Robiolo
Multi-Agent Systems became a powerful solution to model and solve problems in complex and dynamic environments. While research in this area grew exponentially before 2009, there is a need to understand the status quo of the field from 2009 to June 2017 in order to comprehend the general evolution. The results of a SLR related to Multi-Agent Systems, its applications and research gaps, following Kitchenham and Wholin guidelines are presented in this paper. From the analysis of279 papers (out of3522 candidates), our findings suggest that: a) there is a general decreasing trend of publications (but it is increasing for specific domains), b) only 15% of the papers portrayed a real case study, c) the top 20 were formed by 67 authors, d) the papers were mostly published in journals and conferences, e) there is no unified methodology or framework, f) the top 3 application domains were transport/traffic, healthcare/biology, and logistics/manufacturing, g) MAS interact with different disciplines like machine learning. Finally, the MAS community should work together to close the gaps and unify the field, bridging with other disciplines and industry.
多智能体系统成为在复杂和动态环境中建模和解决问题的有力解决方案。虽然该领域的研究在2009年之前呈指数级增长,但有必要了解2009年至2017年6月该领域的现状,以了解总体演变。本文介绍了与多代理系统相关的单反结果,其应用和研究差距,遵循Kitchenham和Wholin指南。从对279篇论文(3522篇候选论文)的分析中,我们的发现表明:)有一种普遍的下降趋势的出版物(但这是增加特定域),b),只有15%的论文描述一个真实的案例研究,c)前20名于67年由作者、d)的论文大多是发表在期刊和会议,e)没有统一的方法和框架,f)顶部3应用领域运输/交通,医疗/生物学、马斯和物流/制造、g)与机器学习等不同学科。最后,MAS社区应该共同努力,缩小差距,统一领域,与其他学科和行业建立桥梁。
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引用次数: 8
期刊
2019 XLV Latin American Computing Conference (CLEI)
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