Pub Date : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640023
Ana Paula Lüdtke Ferreira, M. J. Yokoo, Bruno Ernesto Techera da Motta
One of the animal breeding strategies to increase both the health of the herd and the economic production gains is the mating system. Algorithms found in the literature to maximize mating gains rely on metaheuristics such as genetic algorithms, arguing about the inherent difficulty of finding an optimal solution to the mating problem. In this paper, we investigate the problem of maximizing the expected genetic/economic value of the next herd generation by a mating system strategy. We show that the problem can be solved in polynomial time, regardless of the metric used.
{"title":"On the problem of optimal mating in animal breeding","authors":"Ana Paula Lüdtke Ferreira, M. J. Yokoo, Bruno Ernesto Techera da Motta","doi":"10.1109/CLEI53233.2021.9640023","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640023","url":null,"abstract":"One of the animal breeding strategies to increase both the health of the herd and the economic production gains is the mating system. Algorithms found in the literature to maximize mating gains rely on metaheuristics such as genetic algorithms, arguing about the inherent difficulty of finding an optimal solution to the mating problem. In this paper, we investigate the problem of maximizing the expected genetic/economic value of the next herd generation by a mating system strategy. We show that the problem can be solved in polynomial time, regardless of the metric used.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"4 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79517709","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9639917
Aurelio Vivas, H. Castro, David Bautista, Leonardo Merchan, José A. Gómez Hernández, J. Peña, L. Guzman
Cities are growing rapidly in terms of population, land use and transport services. New housing developments and transport infrastructure are key triggers for the process of change. As cities grow from new infrastructure and land-cover changes, the need to coordinate these changes with the government land-use and transport policies also increases. Urban planners use Land-use transportation interaction models to coordinate the cities' development with the land-use and transport policies in order to diagnose the impact of these policies in the development of cities. This paper proposes the Bogotá Urban Simulator (BUS), which was developed to assist the policy assessment process in urban planning for the city of Bogotá. The proposed simulator comprises a web application for the publication and execution of urban models, a distributed processing system and an interactive visual analytic environment for the exploration of policies. The architectural decisions considered in the development of the simulator are described; in addition, a performance evaluation of the resulting service oriented simulator is conducted.
{"title":"Improving Exploratory Analysis in Land-use Transportation Interaction Models","authors":"Aurelio Vivas, H. Castro, David Bautista, Leonardo Merchan, José A. Gómez Hernández, J. Peña, L. Guzman","doi":"10.1109/CLEI53233.2021.9639917","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9639917","url":null,"abstract":"Cities are growing rapidly in terms of population, land use and transport services. New housing developments and transport infrastructure are key triggers for the process of change. As cities grow from new infrastructure and land-cover changes, the need to coordinate these changes with the government land-use and transport policies also increases. Urban planners use Land-use transportation interaction models to coordinate the cities' development with the land-use and transport policies in order to diagnose the impact of these policies in the development of cities. This paper proposes the Bogotá Urban Simulator (BUS), which was developed to assist the policy assessment process in urban planning for the city of Bogotá. The proposed simulator comprises a web application for the publication and execution of urban models, a distributed processing system and an interactive visual analytic environment for the exploration of policies. The architectural decisions considered in the development of the simulator are described; in addition, a performance evaluation of the resulting service oriented simulator is conducted.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"108 5 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82791338","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640145
Andrea Vásquez, Federico Meza, P. Barrera
The 2019 global health crisis forced higher education institutions to transition to remote emergency teaching. This article presents the experience of Universidad Técnica Federico Santa María, in Chile, when adapting a massive Introduction to Programming class to a virtual modality. A novel formative model was developed, based on flipped-classroom principles for remote settings. This model allowed to adapt the instruction to the varying personal circumstances and connectivity conditions of the participants, while supporting the delivery of the original learning objectives for the course. Following the ideas from constructive alignment, the contents and learning objectives were grouped into Online Learning Units, each developed within a week. By doing so, it was possible to orchestrate both synchronous and asynchronous activities. After one year of the implementation of this model, students evaluated the course as a positive and fun experience, that gave them confidence regarding their programming skills. As future work, we believe it is possible to apply this structure to hybrid learning environments, as it allows for students to work in and outside the classroom while keeping a common pace.
2019年的全球卫生危机迫使高等教育机构转向远程应急教学。本文介绍了智利universsidad tsamicnica Federico Santa María在将大型编程入门课程改编为虚拟模式时的经验。基于远程设置的翻转课堂原则，开发了一种新的形成模式。该模型允许根据参与者的不同个人情况和连接条件调整教学，同时支持课程原始学习目标的交付。根据建设性的想法，内容和学习目标被分成在线学习单元，每个单元在一周内完成。通过这样做，可以编排同步和异步活动。在这个模式实施一年后，学生们评价这门课程是一次积极而有趣的经历，这让他们对自己的编程技能充满信心。作为未来的工作，我们相信这种结构可以应用于混合学习环境，因为它允许学生在课堂内外工作，同时保持共同的节奏。
{"title":"Emergency Remote Teaching Model for Massive Programming Classes","authors":"Andrea Vásquez, Federico Meza, P. Barrera","doi":"10.1109/CLEI53233.2021.9640145","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640145","url":null,"abstract":"The 2019 global health crisis forced higher education institutions to transition to remote emergency teaching. This article presents the experience of Universidad Técnica Federico Santa María, in Chile, when adapting a massive Introduction to Programming class to a virtual modality. A novel formative model was developed, based on flipped-classroom principles for remote settings. This model allowed to adapt the instruction to the varying personal circumstances and connectivity conditions of the participants, while supporting the delivery of the original learning objectives for the course. Following the ideas from constructive alignment, the contents and learning objectives were grouped into Online Learning Units, each developed within a week. By doing so, it was possible to orchestrate both synchronous and asynchronous activities. After one year of the implementation of this model, students evaluated the course as a positive and fun experience, that gave them confidence regarding their programming skills. As future work, we believe it is possible to apply this structure to hybrid learning environments, as it allows for students to work in and outside the classroom while keeping a common pace.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"7 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"89288506","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640036
J. G. D. Silva, M. Baranauskas, R. Pereira
The vision of the ubiquity of computing, present since the ideas of Mark Weiser, takes concrete form today with the Internet of Things (IoT). The concept of a system in which digital and physical entities are linked through adequate information and communication technologies demands new ways of thinking its construction. At the same time, as new demands appear for engineering of such systems, our teaching practices also need to be revised. This paper presents a proposal for the discipline of Software Engineering inspired by the Active Learning approach. Our proposal is illustrated with the development of Internet of Things scenarios by groups of students.
{"title":"Hands on, Heads in: Building IoT Scenarios for Learning Software Engineering","authors":"J. G. D. Silva, M. Baranauskas, R. Pereira","doi":"10.1109/CLEI53233.2021.9640036","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640036","url":null,"abstract":"The vision of the ubiquity of computing, present since the ideas of Mark Weiser, takes concrete form today with the Internet of Things (IoT). The concept of a system in which digital and physical entities are linked through adequate information and communication technologies demands new ways of thinking its construction. At the same time, as new demands appear for engineering of such systems, our teaching practices also need to be revised. This paper presents a proposal for the discipline of Software Engineering inspired by the Active Learning approach. Our proposal is illustrated with the development of Internet of Things scenarios by groups of students.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"53 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88621659","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640189
G. S. Araujo, Guillermo Cámara Chávez, R. B. Oliveira
Skin cancer is one of the cancers that most aggravates the problem in public health. Among the types of cancer, melanoma is the most aggressive type. Its early diagnosis is essential to increase the possibility of adequate treatment, aiming to reduce the mortality rate. Dermatologists generally use manual methods to diagnose skin lesions. These methods, in addition to being time-consuming, as they are performed manually, can present different results for the same lesion when analyzed by different specialists. Therefore, an automated diagnosis may be necessary to deal with this issue as well as avoid invasive tests. For this, the task of segmenting the skin lesion in the dermoscopic image can be fundamental, as it is a basic task in the image analysis process. In the present work, a Convolutional Neural Network (CNN) model, based on the U-Net, is used to segment the lesion in dermoscopic images. This proposal achieved an accuracy of 0.949 and Jaccard of 0.833 for the 2017 ISIC base, and an accuracy of 0.954 and Jaccard of 0.850 for the 2018 ISIC base. The proposed model has a simpler architecture, in addition to requiring less computational resources. The experiments made it possible to observe that the proposed model results are promising compared with other CNN models presented in the literature.
{"title":"Convolutional Neural Networks Applied for Skin Lesion Segmentation","authors":"G. S. Araujo, Guillermo Cámara Chávez, R. B. Oliveira","doi":"10.1109/CLEI53233.2021.9640189","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640189","url":null,"abstract":"Skin cancer is one of the cancers that most aggravates the problem in public health. Among the types of cancer, melanoma is the most aggressive type. Its early diagnosis is essential to increase the possibility of adequate treatment, aiming to reduce the mortality rate. Dermatologists generally use manual methods to diagnose skin lesions. These methods, in addition to being time-consuming, as they are performed manually, can present different results for the same lesion when analyzed by different specialists. Therefore, an automated diagnosis may be necessary to deal with this issue as well as avoid invasive tests. For this, the task of segmenting the skin lesion in the dermoscopic image can be fundamental, as it is a basic task in the image analysis process. In the present work, a Convolutional Neural Network (CNN) model, based on the U-Net, is used to segment the lesion in dermoscopic images. This proposal achieved an accuracy of 0.949 and Jaccard of 0.833 for the 2017 ISIC base, and an accuracy of 0.954 and Jaccard of 0.850 for the 2018 ISIC base. The proposed model has a simpler architecture, in addition to requiring less computational resources. The experiments made it possible to observe that the proposed model results are promising compared with other CNN models presented in the literature.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"136 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77454943","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640119
Daniel A. Gutierrez-Pachas, Germain Garcia Zanabria, A. Cuadros-Vargas, Guillermo Cámara Chávez, Jorge Poco, Erick Gomez Nieto
Reducing the students' dropout is one of the biggest challenges faced by educational institutions, especially in underdeveloped countries. Identification of the student with the highest risk of dropping out is generally used to apply corrective actions (WHO). Therefore, it is also important to determine WHEN a student will drop out, which is fundamental to planning preventive actions. In this work, we perform a study to quantitatively compare several approaches to address the early identification of dropout students in universities. We categorize our study into three main methods families, i.e., analytical methods, traditional classification methods, and probabilistic methods. The first is exploited at preprocessing step for selecting significant variables into the dropout identification task. The second uses machine learning models to classify students into dropout prone or non-dropout prone classes. The third family uses survival models to determine when the student would desert. To evaluate the predictive capacity of the classification models, the Kappa coefficient was incorporated into the usual machine learning metrics and shows that Kappa is handy for evaluating performance in unbalanced data. Similarly, in the survival models, the concordance index was applied to evaluate the predictive capacity. Our approach was applied over a real data set of Peruvian university graduate students to identify when and who will drop out.
{"title":"A comparative study of WHO and WHEN prediction approaches for early identification of university students at dropout risk","authors":"Daniel A. Gutierrez-Pachas, Germain Garcia Zanabria, A. Cuadros-Vargas, Guillermo Cámara Chávez, Jorge Poco, Erick Gomez Nieto","doi":"10.1109/CLEI53233.2021.9640119","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640119","url":null,"abstract":"Reducing the students' dropout is one of the biggest challenges faced by educational institutions, especially in underdeveloped countries. Identification of the student with the highest risk of dropping out is generally used to apply corrective actions (WHO). Therefore, it is also important to determine WHEN a student will drop out, which is fundamental to planning preventive actions. In this work, we perform a study to quantitatively compare several approaches to address the early identification of dropout students in universities. We categorize our study into three main methods families, i.e., analytical methods, traditional classification methods, and probabilistic methods. The first is exploited at preprocessing step for selecting significant variables into the dropout identification task. The second uses machine learning models to classify students into dropout prone or non-dropout prone classes. The third family uses survival models to determine when the student would desert. To evaluate the predictive capacity of the classification models, the Kappa coefficient was incorporated into the usual machine learning metrics and shows that Kappa is handy for evaluating performance in unbalanced data. Similarly, in the survival models, the concordance index was applied to evaluate the predictive capacity. Our approach was applied over a real data set of Peruvian university graduate students to identify when and who will drop out.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"32 Sup5 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77592433","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9639966
Gerardo Torres, Germain Garcia Zanabria, H. V. Olivera, Lauro Enciso-Rodas
Automatic trajectory processing has multiple applications, mainly due to the wide availability of the data. Trajectory data have a significant practical value, making possible the modeling of various problems such as surveillance and tracking devices, detect anomaly trajectories, identifying illegal and adverse activity. In this study, we show a comparative analysis of the performance of two descriptors to detect anomaly trajectories. We define Wavelet and Fourier transforms as trajectory descriptors to generate characteristics and subsequently detect anomalies. The experiments emphasize performance in the description in the coefficient feature space. For that, we used unsupervised learning, specifically clustering techniques, to generate subsets and identify which are irregular. The implications of the study demonstrate that it is possible to use descriptors in trajectories for automatic anomaly detection and the use of unsupervised learning methods that automatically segment the required information. The performance and comparative analysis of our study are demonstrated through experiments and a case study considering synthetic and real data sets that leave evidence of our contribution.
{"title":"Trajectory Anomaly Detection based on Similarity Analysis","authors":"Gerardo Torres, Germain Garcia Zanabria, H. V. Olivera, Lauro Enciso-Rodas","doi":"10.1109/CLEI53233.2021.9639966","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9639966","url":null,"abstract":"Automatic trajectory processing has multiple applications, mainly due to the wide availability of the data. Trajectory data have a significant practical value, making possible the modeling of various problems such as surveillance and tracking devices, detect anomaly trajectories, identifying illegal and adverse activity. In this study, we show a comparative analysis of the performance of two descriptors to detect anomaly trajectories. We define Wavelet and Fourier transforms as trajectory descriptors to generate characteristics and subsequently detect anomalies. The experiments emphasize performance in the description in the coefficient feature space. For that, we used unsupervised learning, specifically clustering techniques, to generate subsets and identify which are irregular. The implications of the study demonstrate that it is possible to use descriptors in trajectories for automatic anomaly detection and the use of unsupervised learning methods that automatically segment the required information. The performance and comparative analysis of our study are demonstrated through experiments and a case study considering synthetic and real data sets that leave evidence of our contribution.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"34 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74448081","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640202
Gustavo Betarte, J. Campo, Andrea Delgado, P. Ezzatti, Laura González, Álvaro Martín, R. Martínez, Bárbara Muracciole
Since the beginning of 2020, COVID-19 has had a strong impact on the health of the world population. Tracing the contacts of infected people is one of the main strategies for controlling the pandemic. Given the high rates of contagion, which makes difficult an effective manual tracing, multiple initiatives arose for developing digital proximity tracing technologies. In this paper, we discuss in depth the security and personal data protection requirements that these technologies must satisfy, and we present an exhaustive and detailed list of the various applications that have been deployed globally. In particular, we identify potential threats that could undermine the satisfaction of the analyzed requirements, violating hegemonic personal data protection regulations.
{"title":"Proximity tracing applications for COVID-19: data privacy and security","authors":"Gustavo Betarte, J. Campo, Andrea Delgado, P. Ezzatti, Laura González, Álvaro Martín, R. Martínez, Bárbara Muracciole","doi":"10.1109/CLEI53233.2021.9640202","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640202","url":null,"abstract":"Since the beginning of 2020, COVID-19 has had a strong impact on the health of the world population. Tracing the contacts of infected people is one of the main strategies for controlling the pandemic. Given the high rates of contagion, which makes difficult an effective manual tracing, multiple initiatives arose for developing digital proximity tracing technologies. In this paper, we discuss in depth the security and personal data protection requirements that these technologies must satisfy, and we present an exhaustive and detailed list of the various applications that have been deployed globally. In particular, we identify potential threats that could undermine the satisfaction of the analyzed requirements, violating hegemonic personal data protection regulations.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"32 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"88740420","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9640194
Edgar Rubén Godoy Liseras, Julio César Mello Román, José Luis Vázquez Noguera, H. Legal-Ayala
Special devices capable of transforming continuous images into digital formats generate digital images. Image digitization enables treating, visualizing and storing images in a computer system. However, the high-intensity light captured by a device of this type can cause unwanted bright areas in the generated images. Since these bright areas can lead to image processing errors, manifested as a false appearance, their deletion and subsequent reconstruction can produce a more faithful image. A conventional approach, based on mathematical morphology, consists of reducing or eliminating unwanted image brightness by an erosion process. The image obtained through this method undergoes a reconstruction process based on successive geodesic dilations. In this paper, a new brightness reduction method is proposed. This method identifies bright areas by applying a defined brightness limit value to remove pixels with brightness values above it, but leaving the remaining pixels unmodified. Then, the image is reconstructed by the usual image reconstruction approach based on mathematical morphology. Compared to the conventional approach, the proposed method in this work enhances brightness, generating an image more faithful to the actual object.
{"title":"Image Brightness reduction by canceling bright areas using brightness level and reconstruction by geodesic dilation","authors":"Edgar Rubén Godoy Liseras, Julio César Mello Román, José Luis Vázquez Noguera, H. Legal-Ayala","doi":"10.1109/CLEI53233.2021.9640194","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9640194","url":null,"abstract":"Special devices capable of transforming continuous images into digital formats generate digital images. Image digitization enables treating, visualizing and storing images in a computer system. However, the high-intensity light captured by a device of this type can cause unwanted bright areas in the generated images. Since these bright areas can lead to image processing errors, manifested as a false appearance, their deletion and subsequent reconstruction can produce a more faithful image. A conventional approach, based on mathematical morphology, consists of reducing or eliminating unwanted image brightness by an erosion process. The image obtained through this method undergoes a reconstruction process based on successive geodesic dilations. In this paper, a new brightness reduction method is proposed. This method identifies bright areas by applying a defined brightness limit value to remove pixels with brightness values above it, but leaving the remaining pixels unmodified. Then, the image is reconstructed by the usual image reconstruction approach based on mathematical morphology. Compared to the conventional approach, the proposed method in this work enhances brightness, generating an image more faithful to the actual object.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"11 1","pages":"1-10"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84836762","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 : 2021-10-25DOI: 10.1109/CLEI53233.2021.9639948
Jorge D. Jara, Claudia Banchoff, Laura Fava
This article introduces ERA, a mobile application that works as a paratext for a children's book called Kota Corta. It was developed with the aim of accompanying infant patients during prolonged therapeutic treatments. The application uses augmented reality techniques to promote reading and improves interaction with textual stories and static images. For the development of the application, an interdisciplinary work was carried out between students and teachers of the Faculties of Computer Science and Arts, belonging to the National University of La Plata. In this project, books created within the pedagogical and social Arts project were first analyzed. Then Kota Corta was selected as the pilot book on which ERA was designed and implemented, the first prototype app that includes audio, sounds and animations, as well as a kit of didactic games for different levels. Several tools were analyzed for the app development, according to some criteria allowing us to choose the most appropriate among them. ERA was tested with boys and girls in prolonged medical treatments with good results. Finally, the development of the app so far and the results obtained in a first experience are introduced.
{"title":"Playful application with augmented reality in prolonged medical treatments","authors":"Jorge D. Jara, Claudia Banchoff, Laura Fava","doi":"10.1109/CLEI53233.2021.9639948","DOIUrl":"https://doi.org/10.1109/CLEI53233.2021.9639948","url":null,"abstract":"This article introduces ERA, a mobile application that works as a paratext for a children's book called Kota Corta. It was developed with the aim of accompanying infant patients during prolonged therapeutic treatments. The application uses augmented reality techniques to promote reading and improves interaction with textual stories and static images. For the development of the application, an interdisciplinary work was carried out between students and teachers of the Faculties of Computer Science and Arts, belonging to the National University of La Plata. In this project, books created within the pedagogical and social Arts project were first analyzed. Then Kota Corta was selected as the pilot book on which ERA was designed and implemented, the first prototype app that includes audio, sounds and animations, as well as a kit of didactic games for different levels. Several tools were analyzed for the app development, according to some criteria allowing us to choose the most appropriate among them. ERA was tested with boys and girls in prolonged medical treatments with good results. Finally, the development of the app so far and the results obtained in a first experience are introduced.","PeriodicalId":6803,"journal":{"name":"2021 XLVII Latin American Computing Conference (CLEI)","volume":"10 1","pages":"1-7"},"PeriodicalIF":0.0,"publicationDate":"2021-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85295022","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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