2019 XLV Latin American Computing Conference (CLEI)最新文献_第6页

Assessing Architectural Patterns Trade-offs using Moment-based Pattern Taxonomies 使用基于矩的模式分类法评估体系结构模式的权衡

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235086

Cristian Orellana, Mónica M. Villegas, H. Astudillo

{"title":"Assessing Architectural Patterns Trade-offs using Moment-based Pattern Taxonomies","authors":"Cristian Orellana, Mónica M. Villegas, H. Astudillo","doi":"10.1109/CLEI47609.2019.235086","DOIUrl":"https://doi.org/10.1109/CLEI47609.2019.235086","url":null,"abstract":"Large software systems are designed to satisfy or accommodate many requirements; architectural patterns are a well-known technique to reuse design knowledge. However, requested quality attributes (QA) may be inconsistent at times; e.g., high security typically hampers performance and scalability. Thus, a key concern of systems architects is understanding trade-offs among alternative solutions; e.g., a pattern may favor performance at the expense of scalability or security, another may privilege scalability, and yet another may push security. This article argues that the usual organization of individual patterns in topic-related pattern languages is not too helpful to identify trade-offs, and proposes to borrow a taxonomic principle of architectural tactics, organizing the patterns for each QA into “moments”. This enables architects to use simple tradeoff highlighting techniques to understand trade-offs in complex systems. The approach was used in the systematic design of a SCADA-to-ERP secure bridge, where moment-oriented pattern taxonomies for availability, confidentiality, and performance were used. This approach offers the promise of enabling the trade-offenabled, pattern-driven design of large systems by supporting the systematic exploration of trade-offs among patterns for specific QA’s.","PeriodicalId":216193,"journal":{"name":"2019 XLV Latin American Computing Conference (CLEI)","volume":"95 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122388494","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of the relationship between multifractality and robustness in complex networks 复杂网络中多重分形与鲁棒性的关系分析

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235096

Carlos Saavedra, Víctor Andrés Bucheli Guerrero

{"title":"Analysis of the relationship between multifractality and robustness in complex networks","authors":"Carlos Saavedra, Víctor Andrés Bucheli Guerrero","doi":"10.1109/CLEI47609.2019.235096","DOIUrl":"https://doi.org/10.1109/CLEI47609.2019.235096","url":null,"abstract":"Complex networks are a strategy to study different real systems through graph-based representation, which allows their observation with different graph measures, such as degree distribution, clustering coefficient, among others. However, these measures are based on the whole of the network, thus, it hides the macro-structures that composes the network.To study the macro-structures in the networks, an approach is the application of the Multifractal Analysis (MFA), which consists in the measure of fractal dimensions in different scales of the network, allowing the observation of different structures into the network. Nevertheless, by using MFA, the observation of the dynamics of the network is unable when it loses nodes or arcs due to a perturbation. On the other hand, the Robustness Analysis (RA) provides a useful tool to study the network dynamics because It gives measures of the network when it loses nodes or arcs.For the above, the combination of the MFA and RA (MFA-RA) can be a strategy to study the dynamics of the macro-structures into the networks. Our experiments applying MFA and RA in different scale-free networks, small-world networks and random networks presented evidence that the measure applying MFA-RA can be used to categorize different types of networks. We can conclude that the study of the dynamic of macro-structures into the networks can provide a most-completed measure to categorize them.","PeriodicalId":216193,"journal":{"name":"2019 XLV Latin American Computing Conference (CLEI)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124360535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Neural Network Comparison for Spanish Tweets Polarity Classification 西班牙文推文极性分类的深度神经网络比较

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235083

Esteban Rodríguez Betancourt, Pablo Sauma Chacón, Edgar Casasola Murillo

引用次数: 0

TapeYty - Software for routing management of urban waste collection using GIS modelling TapeYty -使用地理信息系统建模的城市废物收集路线管理软件

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235093

Francisco Quiñónez, A. Benítez, M. E. García-Díaz, Diego Pinto, Y. J. Meza

引用次数: 0

Discovering Research Trends in the Computer Science Area of Ecuador: an approach using semantic knowledge bases 发现厄瓜多尔计算机科学领域的研究趋势:一种使用语义知识库的方法

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235075

José Segarra, José Ortiz, R. Gualán, Víctor Saquicela

引用次数: 0

APHOPe: Automation of Pediatric Hemato-Oncological Protocols of the Hospital de Clínicas APHOPe:医院儿童血液肿瘤协议自动化Clínicas

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235092

Gabriela Vázquez, M. Allegretti, M. E. García-Díaz, D. Pinto-Roa, Angélica Samudio, Diego Figueredo

{"title":"APHOPe: Automation of Pediatric Hemato-Oncological Protocols of the Hospital de Clínicas","authors":"Gabriela Vázquez, M. Allegretti, M. E. García-Díaz, D. Pinto-Roa, Angélica Samudio, Diego Figueredo","doi":"10.1109/CLEI47609.2019.235092","DOIUrl":"https://doi.org/10.1109/CLEI47609.2019.235092","url":null,"abstract":"This paper proposes a solution to the problem of automated management of Acute Lymphoblastic Leukemia (ALL) in children that are being treated at the Hospital de Clínicas (HC) which belongs to the Faculty of Medical Sciences of the National University of Asunción (FCM-UNA). For this purpose, we are proposing the design and implementation of a computer application called Pediatric Hemato-Oncological Protocols Automation (APHOPe), which facilitates obtaining information and managing the implementation of the procedure protocols and hematological and oncological treatment used in the Pediatric Hemato-Oncology Department (HOPe). APHOPe can provide statistical data and applied treatments so the effectiveness-efficiency relation of the global and particular protocols for each patient can be analyzed. In this context, APHOPe allows the generation of various Ad Hoc protocols depending on the treatment needs of the medical personnel. In this stage the system provides the 2008 Protocol LLA which is a variant of the Berlin-Frankfurt-Munster Protocol. The usability and acceptability tests indicate that the proposed system is an effective and flexible tool for the automated management of the hemato-oncological protocols.","PeriodicalId":216193,"journal":{"name":"2019 XLV Latin American Computing Conference (CLEI)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128410858","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Adaptive Plot System for Serious Emerging Games based on the Ant Colony Optimization Algorithm 基于蚁群优化算法的重大新兴博弈自适应情节系统

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235104

J. Aguilar, J. Altamiranda, Francisco Díaz, J. G. D. Mesa, Ángel Pinto

引用次数: 2

Improving Semantic Segmentation of 3D Medical Images on 3D Convolutional Neural Networks 基于三维卷积神经网络的三维医学图像语义分割改进

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235102

Alejandra Márquez Herrera, A. Cuadros-Vargas, H. Pedrini

{"title":"Improving Semantic Segmentation of 3D Medical Images on 3D Convolutional Neural Networks","authors":"Alejandra Márquez Herrera, A. Cuadros-Vargas, H. Pedrini","doi":"10.1109/CLEI47609.2019.235102","DOIUrl":"https://doi.org/10.1109/CLEI47609.2019.235102","url":null,"abstract":"A neural network is a mathematical model that is able to perform a task automatically or semi-automatically after learning the human knowledge that we provided. Moreover, a Convolutional Neural Network (CNN) is a type of neural network that has shown to efficiently learn tasks related to the area of image analysis, such as image segmentation, whose main purpose is to find regions or separable objects within an image. A more specific type of segmentation, called semantic segmentation, guarantees that each region has a semantic meaning by giving it a label or class. Since CNNs can automate the task of image semantic segmentation, they have been very useful for the medical area, applying them to the segmentation of organs or abnormalities (tumors). This work aims to improve the task of binary semantic segmentation of volumetric medical images acquired by Magnetic Resonance Imaging (MRI) using a preexisting Three-Dimensional Convolutional Neural Network (3D CNN) architecture. We propose a formulation of a loss function for training this 3D CNN, for improving pixel-wise segmentation results. This loss function is formulated based on the idea of adapting a similarity coefficient, used for measuring the spatial overlap between the prediction and ground truth, and then using it to train the network. As contribution, the developed approach achieved good performance in a context where the pixel classes are imbalanced. We show how the choice of the loss function for training can affect the final quality of the segmentation. We validate our proposal over two medical image semantic segmentation datasets and show comparisons in performance between the proposed loss function and other pre-existing loss functions used for binary semantic segmentation.","PeriodicalId":216193,"journal":{"name":"2019 XLV Latin American Computing Conference (CLEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131090603","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Use of Games for Teaching Programming: Experience Report 游戏在编程教学中的应用:经验报告

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235068

Valéria Farinazzo Martins Salvador, B. Rodrigues, Everton Knihs

引用次数: 0

Performance Analysis of Data Storage in a Hyperconverged Infrastructure Using Docker and GlusterFS 基于Docker和GlusterFS的超融合基础设施数据存储性能分析

2019 XLV Latin American Computing Conference (CLEI) Pub Date : 2019-09-01 DOI: 10.1109/CLEI47609.2019.235108

Rodrigo Leite, P. Solís

引用次数: 3