Pub Date : 2020-10-01DOI: 10.1109/CLEI52000.2020.00037
Diana C. Yacchirema, C. Palau
Lack of interoperability between devices is a key aspect of IoT application development where different heterogeneous devices are intended to seamlessly interoperate. Moreover, if we focus on implementing the interaction and interconnection between devices and standard IoT platforms, the challenge is even more complex because of the inherent heterogeneity in the protocols, technologies, and data formats supported by each device. To solve this problem, we propose an interworking architecture based on the oneM2M standard through the implementation of an Interworking proxy entity (IPE) that acts as a middleware between the heterogeneous IoT devices and oneM2M-based IoT systems. The functionality of the architecture is validated through a scenario applied to port transport and logistics.
{"title":"Interworking of Onem2M-Based IoT Systems and Heterogeneous IoT Devices","authors":"Diana C. Yacchirema, C. Palau","doi":"10.1109/CLEI52000.2020.00037","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00037","url":null,"abstract":"Lack of interoperability between devices is a key aspect of IoT application development where different heterogeneous devices are intended to seamlessly interoperate. Moreover, if we focus on implementing the interaction and interconnection between devices and standard IoT platforms, the challenge is even more complex because of the inherent heterogeneity in the protocols, technologies, and data formats supported by each device. To solve this problem, we propose an interworking architecture based on the oneM2M standard through the implementation of an Interworking proxy entity (IPE) that acts as a middleware between the heterogeneous IoT devices and oneM2M-based IoT systems. The functionality of the architecture is validated through a scenario applied to port transport and logistics.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"26 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":"131993676","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/CLEI52000.2020.00017
Federico Kañevsky, M. Galli
This work introduces the formulation and application of a MILP model to solve the problem of planning the weekly production of a machine shop using numerical control lathes to manufacture spare parts for agricultural machines. The machine shop works under a Flexible Job Shop system and in turn has limited labor force with different abilities to operate the various high-complexity lathes and to carry out the setup tasks in each of them. The developed model is based on a basic formulation for the classical problem; and flexible adjustment is shown for the various situations that may arise from different scheduling problems. The application of the model to various scenarios is presented and the improvements brought about by the analysis of solutions are discussed.
{"title":"MILP Model Applied to the Planning of a Computerized Numerical Control Lathes Workshop","authors":"Federico Kañevsky, M. Galli","doi":"10.1109/CLEI52000.2020.00017","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00017","url":null,"abstract":"This work introduces the formulation and application of a MILP model to solve the problem of planning the weekly production of a machine shop using numerical control lathes to manufacture spare parts for agricultural machines. The machine shop works under a Flexible Job Shop system and in turn has limited labor force with different abilities to operate the various high-complexity lathes and to carry out the setup tasks in each of them. The developed model is based on a basic formulation for the classical problem; and flexible adjustment is shown for the various situations that may arise from different scheduling problems. The application of the model to various scenarios is presented and the improvements brought about by the analysis of solutions are discussed.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"38 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":"131691226","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/CLEI52000.2020.00019
Júlia Luiza Conceição, Rosiane de Freitas, Bruno F. Gadelha, João Gustavo Kienen, Sérgio Anders, Brendo Cavalcante
In this work, an initial study on the automatic recognition of the main Brazilian music genres is presented: Axé, Forró, MPB, Rock, Samba, and Sertanejo. Through the extraction of representative musical characteristics, automatic classification experiments were performed applying classical supervised learning algorithms and Weka ML tool. An analysis of the main available databases was also carried out: GTZAN, FMA, AudioSet, RWC, ISMIR, Magnatune, and LMD. There is a scarcity of cultural diversity on these bases, most of which concentrate globally more popular styles such as Pop and Rock, reinforcing the need to include more diverse and culturally identifiable genres, such as Brazilians. The preliminary results obtained demonstrate the adequacy of the recognition process of the main Brazilian musical genres.
在这项工作中，提出了对主要巴西音乐流派的自动识别的初步研究:ax， Forró， MPB, Rock, Samba和Sertanejo。通过对代表性音乐特征的提取，应用经典监督学习算法和Weka ML工具进行自动分类实验。对可用的主要数据库进行了分析:GTZAN、FMA、AudioSet、RWC、ISMIR、Magnatune和LMD。这些基地缺乏文化多样性，其中大多数集中在流行音乐和摇滚等全球流行风格上，这加强了包括更多样化和文化上可识别的流派的需求，比如巴西人。初步结果证明了巴西主要音乐类型识别过程的充分性。
{"title":"Applying supervised learning techniques to Brazilian music genre classification","authors":"Júlia Luiza Conceição, Rosiane de Freitas, Bruno F. Gadelha, João Gustavo Kienen, Sérgio Anders, Brendo Cavalcante","doi":"10.1109/CLEI52000.2020.00019","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00019","url":null,"abstract":"In this work, an initial study on the automatic recognition of the main Brazilian music genres is presented: Axé, Forró, MPB, Rock, Samba, and Sertanejo. Through the extraction of representative musical characteristics, automatic classification experiments were performed applying classical supervised learning algorithms and Weka ML tool. An analysis of the main available databases was also carried out: GTZAN, FMA, AudioSet, RWC, ISMIR, Magnatune, and LMD. There is a scarcity of cultural diversity on these bases, most of which concentrate globally more popular styles such as Pop and Rock, reinforcing the need to include more diverse and culturally identifiable genres, such as Brazilians. The preliminary results obtained demonstrate the adequacy of the recognition process of the main Brazilian musical genres.","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":"128612675","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/clei52000.2020.00002
{"title":"2020 XLVI Latin American Computing Conference CLEI 2020 [Title page iii]","authors":"","doi":"10.1109/clei52000.2020.00002","DOIUrl":"https://doi.org/10.1109/clei52000.2020.00002","url":null,"abstract":"","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"148 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":"115993827","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/CLEI52000.2020.00031
Sebastián Cardona Quintero, F. Giraldo
This paper presents the process of creating and deploying business architecture for the implementation of teleworking in emerging small and medium-sized software-development companies in Colombia, taking reference methodology as determined by the Colombian government in its White-Book on Teleworking, and utilizing the tools of Eclipse Process Framework for the creation of the said business architecture in a way that the framework can be educational and contribute in the dissemination and implementation of teleworking in Colombian companies as per the advising council on telework of the Ministry of Technology and Telecommunications (MinTIC) or by any private company that desires its use as a systematic guide in its telework implementation plan.
本文介绍了哥伦比亚新兴的中小型软件开发公司为实施远程办公而创建和部署业务架构的过程，参考了哥伦比亚政府在其远程办公白皮书中确定的方法。并利用Eclipse Process Framework的工具来创建上述业务架构，使该框架具有教育意义，并有助于哥伦比亚公司按照技术和电信部(MinTIC)远程工作咨询委员会或任何希望将其用作远程工作实施计划系统指南的私营公司传播和实施远程工作。
{"title":"A Business Architecture Proposal for Teleworking in Software-Development MSMEs of Colombia","authors":"Sebastián Cardona Quintero, F. Giraldo","doi":"10.1109/CLEI52000.2020.00031","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00031","url":null,"abstract":"This paper presents the process of creating and deploying business architecture for the implementation of teleworking in emerging small and medium-sized software-development companies in Colombia, taking reference methodology as determined by the Colombian government in its White-Book on Teleworking, and utilizing the tools of Eclipse Process Framework for the creation of the said business architecture in a way that the framework can be educational and contribute in the dissemination and implementation of teleworking in Colombian companies as per the advising council on telework of the Ministry of Technology and Telecommunications (MinTIC) or by any private company that desires its use as a systematic guide in its telework implementation plan.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"75 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":"127205632","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}
The use of data for preservation of one's legacy and/or digital immortality is a sensitive topic, and it is very important to consider the point of view of technology users from the generation closest to the internet. This article aims to analyze and describe data collected via an online survey regarding how the digital generation sees this subject, comparing the results with others found in literature.
{"title":"The Positioning of the Digital Generation on Digital Immortality","authors":"Juliana Micolino Cabral, Vinícius Ferreira Galvão, Cristiano Maciel","doi":"10.1109/CLEI52000.2020.00061","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00061","url":null,"abstract":"The use of data for preservation of one's legacy and/or digital immortality is a sensitive topic, and it is very important to consider the point of view of technology users from the generation closest to the internet. This article aims to analyze and describe data collected via an online survey regarding how the digital generation sees this subject, comparing the results with others found in literature.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"17 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":"124890570","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/CLEI52000.2020.00038
Bárbara Bron Fonseca, O. Cornelio, Iliana Pérez Pupo
The process of evaluating the Human Resources performance of a project generates a large amount of information that conditions timely decision-making at runtime and serves as a basis for study to perfect or correct future management strategies. When the volume of information generated is very high, it is difficult to identify the truly important information. This research proposes a solution to the problems posed from the implementation of a method based on Linguistic Summarization of Data for the construction of Linguistic Summaries from the generation of Association Rules.
{"title":"Linguistic Summarization of Data in Decision-Making on Performance Evaluation","authors":"Bárbara Bron Fonseca, O. Cornelio, Iliana Pérez Pupo","doi":"10.1109/CLEI52000.2020.00038","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00038","url":null,"abstract":"The process of evaluating the Human Resources performance of a project generates a large amount of information that conditions timely decision-making at runtime and serves as a basis for study to perfect or correct future management strategies. When the volume of information generated is very high, it is difficult to identify the truly important information. This research proposes a solution to the problems posed from the implementation of a method based on Linguistic Summarization of Data for the construction of Linguistic Summaries from the generation of Association Rules.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"14 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":"125096342","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/CLEI52000.2020.00014
R. Gualán, Víctor Saquicela, Long Tran-Thanh
Effective actions to mitigate air pollution require of availability of high-resolution observations. Low-cost sensor technologies have emerged as an affordable solution to cope with this deficiency. However, since low-cost sensors are built with low-cost materials, they are prone to errors, gaps, bias, and noise. These problems need to be solved before data can be used to support research or decision making. Addressing lack of reliability in low-cost sensor data is a complex challenge that is still under research over several lines (e.g. accuracy estimation of low-cost sensor data). Current approaches in this line involve modeling, bias-correction, and more recently, data fusion methods relying on high-resolution air quality computational models. Overall, accuracy estimation can be reduced to a modeling problem. The focus of this work is studying, testing, and comparing suitable approaches for handling point-referenced spatio-temporal sensor data, particularly classical spatial models, spatio-temporal models, and popular machine learning methods. Among these approaches, Bayesian hierarchical models have a special consideration given the attention they have drawn during the last fifteen years. The benchmark supporting this comparison study is a real-life dataset made up of daily ozone observations taken from the USA Environmental Protection Agency (EPA) and meteorological variables extracted from the NCEP/NCAR Reanalysis Project (NNRP). The main contributions of this work are: (1) a systematic comparison of three kinds of models, using a 10-fold cross-validation exercise; and (2) a feature engineering method to create covariates meant to harness spatially correlated observations of point-referenced sensor data.
{"title":"Comparison of classical and machine-learning methods on spatio-temporal modeling of daily Ozone concentrations","authors":"R. Gualán, Víctor Saquicela, Long Tran-Thanh","doi":"10.1109/CLEI52000.2020.00014","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00014","url":null,"abstract":"Effective actions to mitigate air pollution require of availability of high-resolution observations. Low-cost sensor technologies have emerged as an affordable solution to cope with this deficiency. However, since low-cost sensors are built with low-cost materials, they are prone to errors, gaps, bias, and noise. These problems need to be solved before data can be used to support research or decision making. Addressing lack of reliability in low-cost sensor data is a complex challenge that is still under research over several lines (e.g. accuracy estimation of low-cost sensor data). Current approaches in this line involve modeling, bias-correction, and more recently, data fusion methods relying on high-resolution air quality computational models. Overall, accuracy estimation can be reduced to a modeling problem. The focus of this work is studying, testing, and comparing suitable approaches for handling point-referenced spatio-temporal sensor data, particularly classical spatial models, spatio-temporal models, and popular machine learning methods. Among these approaches, Bayesian hierarchical models have a special consideration given the attention they have drawn during the last fifteen years. The benchmark supporting this comparison study is a real-life dataset made up of daily ozone observations taken from the USA Environmental Protection Agency (EPA) and meteorological variables extracted from the NCEP/NCAR Reanalysis Project (NNRP). The main contributions of this work are: (1) a systematic comparison of three kinds of models, using a 10-fold cross-validation exercise; and (2) a feature engineering method to create covariates meant to harness spatially correlated observations of point-referenced sensor data.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"18 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":"134510464","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/CLEI52000.2020.00008
Tomás Child, G. Acuña
One of the main problems in chilean beekeeping is the late diseases diagnosis that affects beehives. In this work, convolutional neuronal networks are used to create a system that detect beehives health by classifying the sound they emit represented by spectrograms. A dataset is made from audio registers recorded in Chile. From this data, two models for beehives classification are elaborated with different architectures. The model implemented through Transfer Learning obtains a high percentage of accuracy (0.9303 in validation) at classifying recordings according to their health condition, which is comparable to other related publications about Machine Learning applied in beekeeping.
{"title":"Healthy and Anomalous Beehives Classification Model using Convolutional Neural Networks","authors":"Tomás Child, G. Acuña","doi":"10.1109/CLEI52000.2020.00008","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00008","url":null,"abstract":"One of the main problems in chilean beekeeping is the late diseases diagnosis that affects beehives. In this work, convolutional neuronal networks are used to create a system that detect beehives health by classifying the sound they emit represented by spectrograms. A dataset is made from audio registers recorded in Chile. From this data, two models for beehives classification are elaborated with different architectures. The model implemented through Transfer Learning obtains a high percentage of accuracy (0.9303 in validation) at classifying recordings according to their health condition, which is comparable to other related publications about Machine Learning applied in beekeeping.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"52 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":"130932673","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/CLEI52000.2020.00032
Alejandro Adorjan, Martín Solari, Diego Vallespir
This paper describes and discusses a pilot study about code quality practices from the software development leader perspective. Semi-structured interview and thematic analysis have been selected as qualitative analysis methods. This article introduces the design of the research protocol, the execution of the interviews and the analysis process. The results drawn from the present study suggest potential dependence of the practices according to the context of the organisation: type of client and methodology. Code review, pull request in distributed repositories and coding standards emerge as the main code quality practices.
{"title":"Code Quality Practices: Perspective of Team Leaders","authors":"Alejandro Adorjan, Martín Solari, Diego Vallespir","doi":"10.1109/CLEI52000.2020.00032","DOIUrl":"https://doi.org/10.1109/CLEI52000.2020.00032","url":null,"abstract":"This paper describes and discusses a pilot study about code quality practices from the software development leader perspective. Semi-structured interview and thematic analysis have been selected as qualitative analysis methods. This article introduces the design of the research protocol, the execution of the interviews and the analysis process. The results drawn from the present study suggest potential dependence of the practices according to the context of the organisation: type of client and methodology. Code review, pull request in distributed repositories and coding standards emerge as the main code quality practices.","PeriodicalId":413655,"journal":{"name":"2020 XLVI Latin American Computing Conference (CLEI)","volume":"53 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":"130132436","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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