Sebastián Gonzalez Aseretto, José Luis Vázquez Noguera
{"title":"Contrast enhancement of orthopantomograms to improve tooth segmentation using U-Nets","authors":"Sebastián Gonzalez Aseretto, José Luis Vázquez Noguera","doi":"10.1109/CLEI56649.2022.9959912","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959912","url":null,"abstract":"Panoramic radiographs of teeth, also called orthopantomograms, play an important role in different tasks, from the diagnosis of diseases to the identification of persons in forensic dentistry. The segmentation of teeth from these radiographs can be used as a preliminary step for tasks such as counting, measure the similarity between two orthopantomograms and recognition of a person's teeth. These types of radiographs suffer from low contrast which can make it difficult to segment the teeth. In this paper we propose a methodology in which a contrast enhancement technique is used on orthopantomograms, and then used in the segmentation task using U-Nets. In the experiments, different image contrast enhancement methods were evaluated, obtaining better values in the F1-score metric compared to using no pre-processing before segmentation using U-nets. Finally, a correlation analysis of different metrics of image quality enhancement evaluation was performed, showing that contrast is positively correlated with the precision and accuracy of the segmentation obtained by U-nets.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121435462","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}
Tainah Chaves, Ana Paula Da C. Filgueira, Katleen Karla B. Picanço, Jaqueline S. Araujo, F. Giuntini, F. Santos
{"title":"Design Process adoption: A Survey in the Brazilian Software Industry","authors":"Tainah Chaves, Ana Paula Da C. Filgueira, Katleen Karla B. Picanço, Jaqueline S. Araujo, F. Giuntini, F. Santos","doi":"10.1109/CLEI56649.2022.9959961","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959961","url":null,"abstract":"There is a growing concern in the software industries to ensure that systems have usable interfaces, and it is common for the professional designer to be responsible for pursuing this goal. Given the different design processes available in the literature and the different background of professionals, in this paper we seek to understand how the adoption and definition of the design process occurs in the Brazilian software industry. At first, we carried out an online survey, seeking information about professional experiences and the application of design processes. We selected ten survey respondents to be interviewed. We obtained 73 responses with the survey, from which 78% apply a design process, with Design Thinking being the most cited. By conducting the interviews, we found that the processes applied are usually defined according to the project type, while professionals who do not apply processes report a lack of appreciation of the designer’s work by the team. The results highlight differences in how each company proceeds about its performance in the design sector. Overall, our results suggest that design processes bring a substantial positive impact to the projects they are applied to.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127596061","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}
Pablo Gonzalez-Albornoz, C. Rubio-Manzano, J. Torres, Elias Alfonso Candia Taco
{"title":"Towards the definition of a water risk index and its automatic calculation from NetCDF multidimensional data files","authors":"Pablo Gonzalez-Albornoz, C. Rubio-Manzano, J. Torres, Elias Alfonso Candia Taco","doi":"10.1109/CLEI56649.2022.9959942","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959942","url":null,"abstract":"This work presents the definition of a water risk index based on temperatures and precipitation during the years 1979 to 2019 in the Ñuble Region (Chile). Its calculation has been implemented in a software application that allows working with multidimensional data files in NetCDF format. In addition, our prototype allows to load and visualize this type of data in an easy way without the need of having an advanced knowledge in the management of geographic information systems. The result is an application that we would like to use in the future to improve water management and decision making in the region.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123071509","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}
Sandra Cabrera Alzate, Gabriela Garita Gonzalez, Johnny Villalobos Murillo, Carmen Cordero Esquivel
{"title":"Desirable competencies in Information Systems Engineering graduates from the National University of Costa Rica, from the perspective of the employer","authors":"Sandra Cabrera Alzate, Gabriela Garita Gonzalez, Johnny Villalobos Murillo, Carmen Cordero Esquivel","doi":"10.1109/CLEI56649.2022.9959898","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959898","url":null,"abstract":"The research identified the skills, abilities and knowledge that companies require from professionals graduated in Information Systems Engineering from the National University of Costa Rica. As a method, first, an exploratory analysis of the main international references was carried out to create the profile. Then, the desirable skills were obtained by employers in the public and private sectors, thanks to data analysis composed of three techniques: interview, survey and focus group. Among the topics in greatest demand are: cloud computing, project development, quality control, cyber security, business analysis, organizational process management, internet of things, architecture, big data, data analysis. The valuable implications of this study focus on the development of more skills, such as adaptability, self-learning, innovation, English language proficiency, effective communication, active listening, empathy, teamwork, customer service, leadership.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130691376","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}
{"title":"Computational narratives using Model-Driven Engineering","authors":"Daniel Calegari","doi":"10.1109/CLEI56649.2022.9959933","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959933","url":null,"abstract":"Computational narratives embed data and the computations that process and visualize that data into a story. They introduce some challenges, such as they need to be structured to be easily adapted to a wide range of audiences and contexts, e.g., different technologies providing visual elements for communication. Model-Driven Engineering (MDE) is a paradigm that proposes the specification of models of a specific domain and transformations between them with many purposes. This work aims to analyze computational narratives from the perspective of MDE to address their challenges. We propose a narrative metamodel based on an existing conceptual model, and we explore the definition of model transformations for converting narrative models into HTML and Jupyter documents. We also exemplify the MDE approach using a real-life narrative referring to COVID-19 and provide some ideas for future research lines","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123956189","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}
{"title":"Teaching E-Commerce in Support of Costa Rican SMEs due to the COVID-19 Pandemic","authors":"F. Mata, A. Quesada, Irene Hernández Ruiz","doi":"10.1109/CLEI56649.2022.9959955","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959955","url":null,"abstract":"This article presents the experiences obtained with the integration of the course “EIF-439O Uso Estratégico del Comercio Electrónico”, taught at the School of Informatics of the Universidad Nacional de Costa Rica, with the project UNAPROPYMES, aimed at supporting Costa Rican small and medium enterprises (SME) due to the COVID-19 pandemic. Taking advantage of this juncture, it was possible to make changes to this course to use real cases for developing e-commerce prototypes, as well as to apply design thinking and user experience (UX). Furthermore, this situation allowed to open the course to students from other disciplines. The changes introduced to the course, the results obtained, and the lessons learned are discussed","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127251243","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}
Carolina Elizabeth Villegas Colmán, Cynthia Villalba, José Luis Vázquez Noguera, Santiago Gómez-Guerrero
{"title":"Estimation of Blood Pressure by Applying Principal Component Analysis Through the Decomposition of Pearson and Spearman Correlation Matrices","authors":"Carolina Elizabeth Villegas Colmán, Cynthia Villalba, José Luis Vázquez Noguera, Santiago Gómez-Guerrero","doi":"10.1109/CLEI56649.2022.9959954","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959954","url":null,"abstract":"For the training of blood pressure predictive models, it is necessary to determine the optimal number of predictors when the data set is of high dimensionality. Applying the appropriate dimensionality reduction technique according to the dataset will reduce the number of components and improve the performance of the predictive models. This work proposes the dimensionality reduction of the data set through the explorations of linear and nonlinear relationships of photoplethysmography signals by applying principal component analysis through the decomposition of Pearson and Spearman correlation matrices. The differences between the explained and cumulative variances of the principal components are minimal by applying Pearson and Spearman correlations. The predictive models trained with the first 5 principal components obtained better results for the estimation of blood pressure, with minimal loss of information with respect to the original data set.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129996878","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}
B. H. O. Rios, Hilmar Johan Ancocallo Infa, Jhonatan Piero Abarca Murillo, Lenin Fausto Quispe Chipana
{"title":"Evolutionary computation plus Mathematical Programming for the Traveling Car Renter Salesman Problem","authors":"B. H. O. Rios, Hilmar Johan Ancocallo Infa, Jhonatan Piero Abarca Murillo, Lenin Fausto Quispe Chipana","doi":"10.1109/CLEI56649.2022.9959924","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959924","url":null,"abstract":"The Traveling Car Renter Salesman Problem (CaRS) is a generalization of the Traveling Salesman Problem. A new variant of the Adaptive Local Search Procedure (ALSP) algorithm called Iterated Adaptive Local Search Procedure (IALSP) is presented in this work. Two mathematical formulations are presented to model the CaRS problem. These formulations are compared using a MIP solver. The formulation with the best result is used in the IALSP algorithm. To deal with the CaRS problem, we propose a hybrid algorithm composed of an evolutionary algorithm called Scientific Algorithm (ScA) and the IALSP algorithm. We call the proposed hybrid algorithm ScA + IALSP. We have carried out computational experiments on a set of 15 instances extracted from the literature. We have compared the proposed algorithm with the best-known algorithm in the literature. The results show that the IALSP algorithm is competitive. Six new best results are reported.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127476021","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}
Charles Benitez, Rodrigo García, J. Aguilar, Marvin Jiménez, Horderlin Robles
{"title":"Supervision System of the Fattening Process of Cattle in Rotational Grazing using Fuzzy Classification","authors":"Charles Benitez, Rodrigo García, J. Aguilar, Marvin Jiménez, Horderlin Robles","doi":"10.1109/CLEI56649.2022.9959950","DOIUrl":"https://doi.org/10.1109/CLEI56649.2022.9959950","url":null,"abstract":"Cattle breeding has been one of the most important industrial sectors in the world, since it is related to food security and the survival of the human race. Cattle diagnostics is a fundamental procedure for cattle breeders because it allows them to make strategic decisions, such as timely treatment in case of any abnormality (e.g., weight gain in herds, in their paddocks). This article aims to present a system to diagnose weight loss or gain in cattle under a rotational grazing scheme, considering the health status of the animal and the pasture. The diagnostic system is based on a fuzzy classifier that uses fuzzy logic to define the rules that characterize the diagnostic process, and fuzzy reasoning to determine the current situation given an input. In addition, the fuzzy classifier optimizes the rules using genetic algorithms, which modify the membership functions, providing a more accurate system for diagnosis. We tested our proposal with experimental cases, with promising results. The accuracy metrics have high values, indicating a low error rate in terms of false positives. In general, the values of the quality metrics are very good, with an accuracy close to 100% and an Area Under the Curve close to 1.","PeriodicalId":156073,"journal":{"name":"2022 XVLIII Latin American Computer Conference (CLEI)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115100953","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}