2021 XLVII Latin American Computing Conference (CLEI)最新文献_第5页

On the problem of optimal mating in animal breeding 动物育种中的最佳交配问题

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640023

Ana Paula Lüdtke Ferreira, M. J. Yokoo, Bruno Ernesto Techera da Motta

引用次数: 2

Improving Exploratory Analysis in Land-use Transportation Interaction Models 改进土地利用交通相互作用模型的探索性分析

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9639917

Aurelio Vivas, H. Castro, David Bautista, Leonardo Merchan, José A. Gómez Hernández, J. Peña, L. Guzman

{"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}

引用次数: 1

Emergency Remote Teaching Model for Massive Programming Classes 大规模编程课应急远程教学模式

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640145

Andrea Vásquez, Federico Meza, P. Barrera

{"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}

引用次数: 0

Hands on, Heads in: Building IoT Scenarios for Learning Software Engineering 动手，动手:为学习软件工程构建物联网场景

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640036

J. G. D. Silva, M. Baranauskas, R. Pereira

引用次数: 2

Convolutional Neural Networks Applied for Skin Lesion Segmentation 卷积神经网络在皮肤病灶分割中的应用

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640189

G. S. Araujo, Guillermo Cámara Chávez, R. B. Oliveira

{"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}

引用次数: 4

A comparative study of WHO and WHEN prediction approaches for early identification of university students at dropout risk WHO与WHEN预测方法早期识别大学生辍学风险的比较研究

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640119

Daniel A. Gutierrez-Pachas, Germain Garcia Zanabria, A. Cuadros-Vargas, Guillermo Cámara Chávez, Jorge Poco, Erick Gomez Nieto

{"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}

引用次数: 1

Trajectory Anomaly Detection based on Similarity Analysis 基于相似度分析的轨迹异常检测

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9639966

Gerardo Torres, Germain Garcia Zanabria, H. V. Olivera, Lauro Enciso-Rodas

{"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}

引用次数: 2

Proximity tracing applications for COVID-19: data privacy and security COVID-19的邻近跟踪应用:数据隐私和安全

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640202

Gustavo Betarte, J. Campo, Andrea Delgado, P. Ezzatti, Laura González, Álvaro Martín, R. Martínez, Bárbara Muracciole

引用次数: 3

Image Brightness reduction by canceling bright areas using brightness level and reconstruction by geodesic dilation 通过亮度级别消除明亮区域来降低图像亮度，并通过测地线扩张进行重建

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9640194

Edgar Rubén Godoy Liseras, Julio César Mello Román, José Luis Vázquez Noguera, H. Legal-Ayala

{"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}

引用次数: 0

Playful application with augmented reality in prolonged medical treatments 增强现实在长期医疗中的有趣应用

2021 XLVII Latin American Computing Conference (CLEI) Pub Date : 2021-10-25 DOI: 10.1109/CLEI53233.2021.9639948

Jorge D. Jara, Claudia Banchoff, Laura Fava

{"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}

引用次数: 0