Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00035
T. Lima, R. Santos, C. Werner
Systems used by an organization to achieve business objectives are supported by technologies included in its technological platform, creating a software ecosystem (SECO). Modifications on these technologies can lead essential systems to lose performance or support. Thus, IT managers and architects should pay attention while making changes by not only accounting for information on technologies, but also considering their relationships. Such information may be spread in different documents and also difficult to analyze mostly due to the organizational complexity and lack of tooling support. The purpose of this work is to assist IT managers and architects in making decisions as regards to IT architecture modification, i.e., the set of technologies that supports products and services of an organization. Firstly, critical factors for maintaining IT architecture were investigated through a systematic mapping and a survey research. As a result, an approach to support technology assessment and analysis was defined, exploring the network structure that represents the organization's ecosystem. A tool implementing the key features of the proposed approach was developed, including visualization of SECO networks and configuration of well-defined criteria. Finally, both the approach and tool were evaluated through a feasibility study on the technology and concepts acceptance within a specific, real scenario. A positive feedback on the approach's relevance and tool's resources was observed.
{"title":"SECO-AM: An Approach for Maintenance of IT Architecture in Software Ecosystems","authors":"T. Lima, R. Santos, C. Werner","doi":"10.1109/CLEI52000.2020.00035","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00035","url":null,"abstract":"Systems used by an organization to achieve business objectives are supported by technologies included in its technological platform, creating a software ecosystem (SECO). Modifications on these technologies can lead essential systems to lose performance or support. Thus, IT managers and architects should pay attention while making changes by not only accounting for information on technologies, but also considering their relationships. Such information may be spread in different documents and also difficult to analyze mostly due to the organizational complexity and lack of tooling support. The purpose of this work is to assist IT managers and architects in making decisions as regards to IT architecture modification, i.e., the set of technologies that supports products and services of an organization. Firstly, critical factors for maintaining IT architecture were investigated through a systematic mapping and a survey research. As a result, an approach to support technology assessment and analysis was defined, exploring the network structure that represents the organization's ecosystem. A tool implementing the key features of the proposed approach was developed, including visualization of SECO networks and configuration of well-defined criteria. Finally, both the approach and tool were evaluated through a feasibility study on the technology and concepts acceptance within a specific, real scenario. A positive feedback on the approach's relevance and tool's resources was observed.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115468789","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}
Several Brazilian citizens are aiming to invest in higher education in computing. From the perspective of the formal mark, the financial feedback is what normally motivates a degree in Computing in Brazil. At the same time, Higher Education Institutions usually support entrepreneurial initiatives with their students. This work investigates the insertion of graduates of Information Systems from the Brazilian public university, both in the formal national labor market, as well as in the entrepreneur, seeking to know if the graduate has his own business or if he is a partner in a national company. For this, an information system was developed, designed and used to recover this information and generate indicators of interest.
{"title":"MPLG: Mapping the Professional Life of Computer Graduates","authors":"Reinaldo Viana Alvares, Henrique Soares Rodrigues, Marcelo Loutfi, Nathielly de Souza Campos","doi":"10.1109/CLEI52000.2020.00069","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00069","url":null,"abstract":"Several Brazilian citizens are aiming to invest in higher education in computing. From the perspective of the formal mark, the financial feedback is what normally motivates a degree in Computing in Brazil. At the same time, Higher Education Institutions usually support entrepreneurial initiatives with their students. This work investigates the insertion of graduates of Information Systems from the Brazilian public university, both in the formal national labor market, as well as in the entrepreneur, seeking to know if the graduate has his own business or if he is a partner in a national company. For this, an information system was developed, designed and used to recover this information and generate indicators of interest.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129763683","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00055
Anibal Ruiz-Barquero, C. Garita, Giannina Ortiz
The condition of road infrastructure in countries like Costa Rica, combined with natural disasters related to rain, floods, and other natural events, makes the proper management of bridge structures a specially sensitive issue for national institutions. This situation creates the need to monitor the health of bridge structures in order to anticipate or avoid a collapse caused either by a failure of a bridge component or by an environmental threat. In this context, the research described in this article aims at the design and implementation of a prototype of a network of collaborative sensors to monitor the condition of bridges in Costa Rica, in order to support the prevention of negative effects caused by natural disasters and in particular by an increase in the water level of the river under a bridge. This article describes the analysis, design, implementation, and testing process of a collaborative sensor network system that meets the requirements to monitor and alert in emergency situations associated with bridge-type structures.
{"title":"Collaborative Sensors Networks for Structural Health Monitoring of Bridges in Costa Rica","authors":"Anibal Ruiz-Barquero, C. Garita, Giannina Ortiz","doi":"10.1109/CLEI52000.2020.00055","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00055","url":null,"abstract":"The condition of road infrastructure in countries like Costa Rica, combined with natural disasters related to rain, floods, and other natural events, makes the proper management of bridge structures a specially sensitive issue for national institutions. This situation creates the need to monitor the health of bridge structures in order to anticipate or avoid a collapse caused either by a failure of a bridge component or by an environmental threat. In this context, the research described in this article aims at the design and implementation of a prototype of a network of collaborative sensors to monitor the condition of bridges in Costa Rica, in order to support the prevention of negative effects caused by natural disasters and in particular by an increase in the water level of the river under a bridge. This article describes the analysis, design, implementation, and testing process of a collaborative sensor network system that meets the requirements to monitor and alert in emergency situations associated with bridge-type structures.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"23 25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128443459","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00065
Ademir Rafael Marques Guedes, Guillermo Cámara Chávez
The problem of violence detection consists of identifying scenes that characterize violence in a video stream. The violent actions in question can be of the most diverse, from fights, pushes, and robberies to shots and explosions. Detecting the presence of violence is useful for classifying videos and films, blocking inappropriate content for specific audiences, and improving security personnel's performance responsible for areas under surveillance. This work proposes an approach based on the Dynamic Images method, using handcrafted and CNN features the Bag of Visual Words paradigm and a SVM classifier to detect violent actions that involve corporal struggle in the video streams of databases of literature. The proposed methods can achieve an average accuracy of 97.50% for the Hockey dataset, 99.80% for the Movies dataset, and 93.40% for the Crowd dataset. Besides, the identification of violence in each video was performed in of hundredths of a second. Also, the techniques proposed in this work have the advantage that they can be applied even in environments where computational resources are limited, and technologies such as GPU or parallel processing are not available.
{"title":"Real-Time Violence Detection in Videos Using Dynamic Images","authors":"Ademir Rafael Marques Guedes, Guillermo Cámara Chávez","doi":"10.1109/CLEI52000.2020.00065","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00065","url":null,"abstract":"The problem of violence detection consists of identifying scenes that characterize violence in a video stream. The violent actions in question can be of the most diverse, from fights, pushes, and robberies to shots and explosions. Detecting the presence of violence is useful for classifying videos and films, blocking inappropriate content for specific audiences, and improving security personnel's performance responsible for areas under surveillance. This work proposes an approach based on the Dynamic Images method, using handcrafted and CNN features the Bag of Visual Words paradigm and a SVM classifier to detect violent actions that involve corporal struggle in the video streams of databases of literature. The proposed methods can achieve an average accuracy of 97.50% for the Hockey dataset, 99.80% for the Movies dataset, and 93.40% for the Crowd dataset. Besides, the identification of violence in each video was performed in of hundredths of a second. Also, the techniques proposed in this work have the advantage that they can be applied even in environments where computational resources are limited, and technologies such as GPU or parallel processing are not available.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114823363","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00030
Martín Flores-González, Ignacio Trejos-Zelaya
Cloud Functions represent a new trend in cloud computing in which developers are allowed to install code in a Function-as-a-Service (FaaS) platform able to manage provisioning, execution, monitoring and automatic scaling. The underlying infrastructure in FaaS platforms is hidden from the developers and designers and, since the influence of the infrastructure is unknown, this makes it difficult to apply software performance engineering approaches on cloud functions, which could lead to wrong or inaccurate performance estimations. In this study, we explore the use of component-based modeling and simulation in order to generate performance estimations of an exemplar cloud function which was exercised using a variety of workloads. A cloud function was both implemented and instrumented to record in a log file performance data, associated with its invocations and, using the log file as an input, we extracted a performance model in a Palladio Component Model format suitable for running simulations to validate whether the generated model could explain the runtime behavior of the function. Using this approach and further tunings in the model, we were able to validate that the simulations could explain more than 95% of the function's behavior and that component-based modeling and simulation can be considered a serious option when trying to explain the behavior of a cloud function.
{"title":"Cloud Function Performance: A Component Modeling Approach","authors":"Martín Flores-González, Ignacio Trejos-Zelaya","doi":"10.1109/CLEI52000.2020.00030","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00030","url":null,"abstract":"Cloud Functions represent a new trend in cloud computing in which developers are allowed to install code in a Function-as-a-Service (FaaS) platform able to manage provisioning, execution, monitoring and automatic scaling. The underlying infrastructure in FaaS platforms is hidden from the developers and designers and, since the influence of the infrastructure is unknown, this makes it difficult to apply software performance engineering approaches on cloud functions, which could lead to wrong or inaccurate performance estimations. In this study, we explore the use of component-based modeling and simulation in order to generate performance estimations of an exemplar cloud function which was exercised using a variety of workloads. A cloud function was both implemented and instrumented to record in a log file performance data, associated with its invocations and, using the log file as an input, we extracted a performance model in a Palladio Component Model format suitable for running simulations to validate whether the generated model could explain the runtime behavior of the function. Using this approach and further tunings in the model, we were able to validate that the simulations could explain more than 95% of the function's behavior and that component-based modeling and simulation can be considered a serious option when trying to explain the behavior of a cloud function.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127742358","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00064
S. Serafino, Lucas Benjamín Cicerchia, Gabriel Pérez, Sebastian Adorno, Agustín Balmer
Nowadays, estimating the amount of fruit harvested is an important process for a farmer, providing a significant tool for making decisions about production. This work aims to automate the counting of lemons in real time during the harvesting process, using low processing vision equipment and low resolution cameras mounted on a lemon harvester. Different techniques were used, such as color-based image processing, vegetation and contrast index, mathematical morphology and object tracking based on the Kuhn-Munkres algorithm. To evaluate the performance of the algorithm, six harvest videos with a resolution of 640x480 pixels were tested, resulting in a success rate of over 95% between the visual count and the count provided by the algorithm.
{"title":"Detection and Counting of Lemons using Artificial Vision and Tracking Techniques for Real Time Harvest Estimation","authors":"S. Serafino, Lucas Benjamín Cicerchia, Gabriel Pérez, Sebastian Adorno, Agustín Balmer","doi":"10.1109/CLEI52000.2020.00064","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00064","url":null,"abstract":"Nowadays, estimating the amount of fruit harvested is an important process for a farmer, providing a significant tool for making decisions about production. This work aims to automate the counting of lemons in real time during the harvesting process, using low processing vision equipment and low resolution cameras mounted on a lemon harvester. Different techniques were used, such as color-based image processing, vegetation and contrast index, mathematical morphology and object tracking based on the Kuhn-Munkres algorithm. To evaluate the performance of the algorithm, six harvest videos with a resolution of 640x480 pixels were tested, resulting in a success rate of over 95% between the visual count and the count provided by the algorithm.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134152361","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00029
Fernando Pinciroli
The aspect-oriented paradigm can be applied at different stages of the software development lifecycle. Its use in the business modeling phase does not have a large number of proposals, and existing ones only cover the part of requirements engineering known as “requirements development”, regardless of “requirements management” practices. Additionally, most of these proposals do not use standard notations. For this reason, in this article we propose a modeling technique that allows the implicit designation of join points to support business requirements management, in addition to adapting the explicit form in a way that is strictly based on BPMN 2.0, the OMG's standard notation.
{"title":"Explicit and implicit join point designation in aspect-oriented business modeling","authors":"Fernando Pinciroli","doi":"10.1109/CLEI52000.2020.00029","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00029","url":null,"abstract":"The aspect-oriented paradigm can be applied at different stages of the software development lifecycle. Its use in the business modeling phase does not have a large number of proposals, and existing ones only cover the part of requirements engineering known as “requirements development”, regardless of “requirements management” practices. Additionally, most of these proposals do not use standard notations. For this reason, in this article we propose a modeling technique that allows the implicit designation of join points to support business requirements management, in addition to adapting the explicit form in a way that is strictly based on BPMN 2.0, the OMG's standard notation.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128266625","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00063
Julio César Mello Román, José Luis Vázquez Noguera, H. Legal-Ayala
Infrared images (IR) help us to detect hidden targets in the environment, according to the radiation they emit. These work well on the day, at night and in weather conditions such as rain or fog. At the same time, visible images (VIS) provide us with good details of the scenes, which are better perceived by the human eye. Therefore, the fusion of an infrared image and a visible image of the same scene is very useful. In this paper, we propose a fusion method of visible and infrared images using a multiscale morphological approach. First, the base image is generated through the fusion of the two source images. Second, multiple bright and dark features are extracted from each source image by the top-hat transform. Third, the multiple bright and dark scales of the source images are fused. Finally, the fusion of the visible and infrared images is obtained by adding to the base image the maximum values obtained in the previous step. The results show that the proposed method is competitive compared to state-of-the-art methods in terms of contrast, brightness, texture and spatial information.
{"title":"A Multiscale Morphological Method for Visible and Infrared Images Fusion","authors":"Julio César Mello Román, José Luis Vázquez Noguera, H. Legal-Ayala","doi":"10.1109/CLEI52000.2020.00063","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00063","url":null,"abstract":"Infrared images (IR) help us to detect hidden targets in the environment, according to the radiation they emit. These work well on the day, at night and in weather conditions such as rain or fog. At the same time, visible images (VIS) provide us with good details of the scenes, which are better perceived by the human eye. Therefore, the fusion of an infrared image and a visible image of the same scene is very useful. In this paper, we propose a fusion method of visible and infrared images using a multiscale morphological approach. First, the base image is generated through the fusion of the two source images. Second, multiple bright and dark features are extracted from each source image by the top-hat transform. Third, the multiple bright and dark scales of the source images are fused. Finally, the fusion of the visible and infrared images is obtained by adding to the base image the maximum values obtained in the previous step. The results show that the proposed method is competitive compared to state-of-the-art methods in terms of contrast, brightness, texture and spatial information.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132084076","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00016
Sara Perera, Libertad Tansini
This article analyses an original crime data set from Montevideo, Uruguay's capital city, in 2019. The data was collected from various sources: News Web Portals, for example El Observador, Teledoce, El País and MontevideoCOMM; mobile phone applications in which users report crimes such as CityCop; and Official Data from Home Office annual reports, that despite being an open data set, it is not easily consumable. Our main objective is to study the relationship between the perception of CitiCop users through reported crimes, media perception as presented in News Web Portals and Official Data which is of public domain. Geostatistical techniques are applied to analyse similarities and differences between the three perceptions previously described. Results show interesting coincidences and dissents.
本文分析了 2019 年乌拉圭首都蒙得维的亚的原始犯罪数据集。数据收集自多个来源：新闻门户网站，如 El Observador、Teledoce、El País 和 MontevideoCOMM；用户举报犯罪的手机应用程序，如 CityCop；以及来自内政部年度报告的官方数据，尽管这些数据是开放数据集，但并不容易使用。我们的主要目标是研究 CitiCop 用户通过举报犯罪所产生的感知、新闻门户网站上的媒体感知以及公共领域的官方数据之间的关系。我们采用了地理统计技术来分析上述三种认知之间的异同。结果显示了有趣的巧合和差异。
{"title":"Analysis of Crime Perceptions in Montevideo","authors":"Sara Perera, Libertad Tansini","doi":"10.1109/CLEI52000.2020.00016","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00016","url":null,"abstract":"This article analyses an original crime data set from Montevideo, Uruguay's capital city, in 2019. The data was collected from various sources: News Web Portals, for example El Observador, Teledoce, El País and MontevideoCOMM; mobile phone applications in which users report crimes such as CityCop; and Official Data from Home Office annual reports, that despite being an open data set, it is not easily consumable. Our main objective is to study the relationship between the perception of CitiCop users through reported crimes, media perception as presented in News Web Portals and Official Data which is of public domain. Geostatistical techniques are applied to analyse similarities and differences between the three perceptions previously described. Results show interesting coincidences and dissents.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131334616","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}
Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00047
Antonio Cortés Castillo
This paper presents a new way to approach the dynamics of the infectious diseases expansion by means of a discrete space-time framework. A square grid represents the whole population and the links between the individuals (cell) are fixed by a connectivity pattern. This proposal lies in three points, a new neighborhood which is faster than the well-known Von Neumann and Moore neighborhoods, a set of local Boolean rules that define of the contacts between the neighborhood cells and a multi-grid implementation to cope with the delays between the sub-processes of the entire disease expansion. The main objective of this paper is modelling the different behaviors observed when solving the ordinary differential equations (ODE) of the Susceptible-Infectious-Recovered (SIR) and Susceptible-Infectious-Susceptible (SIS) models. Some real-world cases such as Influenza and Gastroenteritis are successfully modelled by our approach. This work contributes to draw equivalences between two conceptually different models and highlights that they give similar results by appropriately taking the parameter values.
{"title":"A discrete proposal for modelling the infectious diseases expansion","authors":"Antonio Cortés Castillo","doi":"10.1109/CLEI52000.2020.00047","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00047","url":null,"abstract":"This paper presents a new way to approach the dynamics of the infectious diseases expansion by means of a discrete space-time framework. A square grid represents the whole population and the links between the individuals (cell) are fixed by a connectivity pattern. This proposal lies in three points, a new neighborhood which is faster than the well-known Von Neumann and Moore neighborhoods, a set of local Boolean rules that define of the contacts between the neighborhood cells and a multi-grid implementation to cope with the delays between the sub-processes of the entire disease expansion. The main objective of this paper is modelling the different behaviors observed when solving the ordinary differential equations (ODE) of the Susceptible-Infectious-Recovered (SIR) and Susceptible-Infectious-Susceptible (SIS) models. Some real-world cases such as Influenza and Gastroenteritis are successfully modelled by our approach. This work contributes to draw equivalences between two conceptually different models and highlights that they give similar results by appropriately taking the parameter values.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122161984","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}
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