Pub Date : 2018-11-01DOI: 10.1109/SCCC.2018.8705257
M. Bourgeois, C. Cubillos, R. Mellado, Silvana Roncagliolo, Felipe Sentis
This document will present an educational videogame called Ashy.alRescate () that aims to teach the subject of object-oriented programming (OOP) in Java programming language through the mixture of a baseline story of the videogame with the implementation of programming code. The student programs the classes of the characters, their methods, attributes among others, for providing functionality to the characters. The results tested on university students show that there are improvements either in learners with only previous knowledge in C programming and in learners which have pursued an OOP course.
{"title":"Ashy.alRescate(): A videogame for developing basic object oriented programming skills","authors":"M. Bourgeois, C. Cubillos, R. Mellado, Silvana Roncagliolo, Felipe Sentis","doi":"10.1109/SCCC.2018.8705257","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705257","url":null,"abstract":"This document will present an educational videogame called Ashy.alRescate () that aims to teach the subject of object-oriented programming (OOP) in Java programming language through the mixture of a baseline story of the videogame with the implementation of programming code. The student programs the classes of the characters, their methods, attributes among others, for providing functionality to the characters. The results tested on university students show that there are improvements either in learners with only previous knowledge in C programming and in learners which have pursued an OOP course.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122570480","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 : 2018-11-01DOI: 10.1109/SCCC.2018.8705258
R. Mellado, Braulio Melgarejo, Carlos Velasquez, C. Cubillos, Silvana Roncagliolo, Ninozka González
Effective learning and achieving universal primary education has been one of the United Nations focuses on recent years. To this, we must consider the effect of lack of interest in reading that exists on the part of students at the basic level [1]. The following work shows a proposal of a tool so that students of basic education can learn myths through ROLE type games. The design of the pre-test tests, the selected case study and the result obtained at the learning level with a test after the development of the evaluative activity are also announced. The obtained results demonstrate a substantial improvement in the learning obtained by the students for which it means that its application in other areas is promising.
{"title":"ROLE video game tool for teaching myths and legends to school basic students.","authors":"R. Mellado, Braulio Melgarejo, Carlos Velasquez, C. Cubillos, Silvana Roncagliolo, Ninozka González","doi":"10.1109/SCCC.2018.8705258","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705258","url":null,"abstract":"Effective learning and achieving universal primary education has been one of the United Nations focuses on recent years. To this, we must consider the effect of lack of interest in reading that exists on the part of students at the basic level [1]. The following work shows a proposal of a tool so that students of basic education can learn myths through ROLE type games. The design of the pre-test tests, the selected case study and the result obtained at the learning level with a test after the development of the evaluative activity are also announced. The obtained results demonstrate a substantial improvement in the learning obtained by the students for which it means that its application in other areas is promising.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129499858","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 : 2018-11-01DOI: 10.1109/SCCC.2018.8705226
Juan F. Chango, C. Navarro, Mario A. Gonzalez-Montenegro
This paper describes an implementation of a FEM acoustic application on a GPU using C/C++ and CUDA libraries. The acoustic model is a rigid-walled cavity with enclosed fluid and rectangular faces. Natural frequencies were computed using inertia and stiffness matrices in a general eigenvalue problem. These matrices are symmetric, dense and grow in a cubic ratio from the number of divisions in the grid. The model was implemented using cuSOLVER libraries to solve the eigenvalue problem. The MATLAB implementation was performed for CPU in order to compare the results of GPU implementation. The GPU-based Jacobi method in single precision gives the best results, this method is five times faster than the MATLAB implementation. The divide and conquer method in double precision for GPU is the most accurate implementation when comparing with the exact solution of the model. Lastly, the sound pressure distribution in the cavity was graphed using eigenvectors.
{"title":"Acoustic Vibration of a Fluid in a Three-Dimensional Cavity: Finite Element Method Simulation using CUDA and MATLAB","authors":"Juan F. Chango, C. Navarro, Mario A. Gonzalez-Montenegro","doi":"10.1109/SCCC.2018.8705226","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705226","url":null,"abstract":"This paper describes an implementation of a FEM acoustic application on a GPU using C/C++ and CUDA libraries. The acoustic model is a rigid-walled cavity with enclosed fluid and rectangular faces. Natural frequencies were computed using inertia and stiffness matrices in a general eigenvalue problem. These matrices are symmetric, dense and grow in a cubic ratio from the number of divisions in the grid. The model was implemented using cuSOLVER libraries to solve the eigenvalue problem. The MATLAB implementation was performed for CPU in order to compare the results of GPU implementation. The GPU-based Jacobi method in single precision gives the best results, this method is five times faster than the MATLAB implementation. The divide and conquer method in double precision for GPU is the most accurate implementation when comparing with the exact solution of the model. Lastly, the sound pressure distribution in the cavity was graphed using eigenvectors.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"600 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123944345","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 : 2018-11-01DOI: 10.1109/SCCC.2018.8705266
Sebastian Diaz, Jaime Díaz, Danay Ahumada
Human-Computer Interaction and technology-aided instruction are beginning to focus on Virtual Reality (VR) approach due to its ability to support immersive learning and teaching by simulation. This kind of technology facilitates the student's attention by immersing them in virtual worlds and supplies key elements to understand abstract concepts or highly visual content. This paper presents a systematic mapping study of the use of Virtual Reality in High School education.
{"title":"Virtual Reality in High School: A Systematic Mapping Study","authors":"Sebastian Diaz, Jaime Díaz, Danay Ahumada","doi":"10.1109/SCCC.2018.8705266","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705266","url":null,"abstract":"Human-Computer Interaction and technology-aided instruction are beginning to focus on Virtual Reality (VR) approach due to its ability to support immersive learning and teaching by simulation. This kind of technology facilitates the student's attention by immersing them in virtual worlds and supplies key elements to understand abstract concepts or highly visual content. This paper presents a systematic mapping study of the use of Virtual Reality in High School education.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134032665","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 : 2018-11-01DOI: 10.1109/SCCC.2018.8705160
Fabio Pereira da Silva, H. A. D. Souza, M. Chaim
Debugging is the task of locating and fixing defects in a program. Spectrum-Based Fault Localization (SFL) is a promising debugging technique due to it is relative low execution cost. SFL pinpoints the most suspicious program elements by ranking lines, methods, classes and packages more likely to contain faults. We compare two SFL tools that utilize different metaphors. Jaguar uses a textual metaphor while CodeForest a three-dimensional one. The results of an evaluation with 76 students using both tools are presented. They were assessed regarding to the effectiveness and efficiency during fault localization. The effectiveness and efficiency were assessed, respectively, by the tool’s ability to direct the developer to the faulty method or line and the time spent to locate them. The results show that Jaguar is more effective than CodeForest. However, there is not difference between the tools for efficiency.
{"title":"An empirical assessment of visual debugging tools effectiveness and efficiency","authors":"Fabio Pereira da Silva, H. A. D. Souza, M. Chaim","doi":"10.1109/SCCC.2018.8705160","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705160","url":null,"abstract":"Debugging is the task of locating and fixing defects in a program. Spectrum-Based Fault Localization (SFL) is a promising debugging technique due to it is relative low execution cost. SFL pinpoints the most suspicious program elements by ranking lines, methods, classes and packages more likely to contain faults. We compare two SFL tools that utilize different metaphors. Jaguar uses a textual metaphor while CodeForest a three-dimensional one. The results of an evaluation with 76 students using both tools are presented. They were assessed regarding to the effectiveness and efficiency during fault localization. The effectiveness and efficiency were assessed, respectively, by the tool’s ability to direct the developer to the faulty method or line and the time spent to locate them. The results show that Jaguar is more effective than CodeForest. However, there is not difference between the tools for efficiency.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130719341","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 : 2018-11-01DOI: 10.1109/SCCC.2018.8705158
Matias Salinas Soto, Ismael Figueroa
There are many factors present in the current problems found in the teaching-learning of programming. This is a world-wide situation that affects our school, as well as others in the country. In this paper we focus on the effects of the Integrated Development Environment used in the classroom, specifically for first-year programming courses. More concretely, the paper shows the design, application and results of an heuristic evaluation performed on the Code::Blocks IDE, currently used for teaching C programming, and which is more of a professional tool than a teaching instrument. Based on state-of-theart heuristics tailored for learning environments, we found 60 problems in which Code::Blocks is perceived as threaning and non-motivating, thus potentially hampering the learning process of our students. We conceive this work as a step towards the development of a student-focused programming environment for our programming courses.
{"title":"Heuristic Evaluation of Code::Blocks as a Tool for First Year Programming Courses","authors":"Matias Salinas Soto, Ismael Figueroa","doi":"10.1109/SCCC.2018.8705158","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705158","url":null,"abstract":"There are many factors present in the current problems found in the teaching-learning of programming. This is a world-wide situation that affects our school, as well as others in the country. In this paper we focus on the effects of the Integrated Development Environment used in the classroom, specifically for first-year programming courses. More concretely, the paper shows the design, application and results of an heuristic evaluation performed on the Code::Blocks IDE, currently used for teaching C programming, and which is more of a professional tool than a teaching instrument. Based on state-of-theart heuristics tailored for learning environments, we found 60 problems in which Code::Blocks is perceived as threaning and non-motivating, thus potentially hampering the learning process of our students. We conceive this work as a step towards the development of a student-focused programming environment for our programming courses.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129123669","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 : 2018-11-01DOI: 10.1109/SCCC.2018.8705254
Carlos Ismael Orozco, M. Buemi, J. Jacobo-Berlles
The automatic generation of video description is currently a topic of interest in computer vision due to applications such as web indexation, video description for people with visual disabilities, among others. In this work we present a Neural Network architecture Encoder-Decoder. First, a Convolutional Neural Network 3D extracts the features of the input video. Then, an Long Short-Term Memory decodes the vector to automatically generate the description of the video. To perform the training and testing we use the Microsoft Video Description Corpus data set (MSVD). Evaluate the performance of our system using the challenge of COCO Image Captioning Challenge. We obtain as results 0.3984, 0.2941 and 0.5052 for the BLEU, METEOR and CIDEr metrics respectively. Competitive results compared with certificates in the bibliography.
{"title":"Video to Text Study using an Encoder-Decoder Networks Approach","authors":"Carlos Ismael Orozco, M. Buemi, J. Jacobo-Berlles","doi":"10.1109/SCCC.2018.8705254","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705254","url":null,"abstract":"The automatic generation of video description is currently a topic of interest in computer vision due to applications such as web indexation, video description for people with visual disabilities, among others. In this work we present a Neural Network architecture Encoder-Decoder. First, a Convolutional Neural Network 3D extracts the features of the input video. Then, an Long Short-Term Memory decodes the vector to automatically generate the description of the video. To perform the training and testing we use the Microsoft Video Description Corpus data set (MSVD). Evaluate the performance of our system using the challenge of COCO Image Captioning Challenge. We obtain as results 0.3984, 0.2941 and 0.5052 for the BLEU, METEOR and CIDEr metrics respectively. Competitive results compared with certificates in the bibliography.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133519738","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 : 2018-11-01DOI: 10.1109/SCCC.2018.8705262
Alfredo Perez, Elizabeth E. Grandón, Mónica Caniupán, Gilda Vargas
Currently, the detection of students who may drop out from an academic program is a relevant issue for universities, so there are efforts to examine the variables that determine students' drop out. Drop out is defined in different ways, however, all the studies converge in that for a student to drop out a course of study, some variables must be combined. This study presents a comparison of performance indicators of the current drop out model of the Universidad del Bío-Bío (UBB), which is based on logistic regression technique and it is compared with a new model based on decision trees. The new model is obtained through data mining methodologies and it was implemented through the SAP Predictive Analytics tool. To train, validate, and apply the model, real data from the UBB databases were used. The comparison shows that the prediction of student´ drop out of the proposed model obtains an accuracy of 86%, a precision of 97% with an error rate of 14%, better indicators than the current values delivered by the model based on logistic regression. Subsequently, the prediction model obtained was optimized considering other variables, improving even more the prediction indicators. Higher education institutions should take into account the variables that explain the most the phenomenon of student´s drop out to improve the retention of their students.
目前，对于大学来说，检测可能从学术课程退学的学生是一个相关问题，因此有人努力检查决定学生退学的变量。辍学有不同的定义，然而，所有的研究都一致认为，一个学生要想退出一门课程，必须结合一些变量。本文对目前基于逻辑回归技术的universsidad del Bío-Bío (UBB)退学模型的绩效指标进行了比较，并与基于决策树的新模型进行了比较。该模型通过数据挖掘方法得到，并通过SAP预测分析工具实现。为了训练、验证和应用模型，使用了来自UBB数据库的真实数据。对比表明，该模型预测学生辍学的准确率为86%，精密度为97%，错误率为14%，优于目前基于逻辑回归的模型所提供的指标。随后，考虑其他变量对得到的预测模型进行优化，进一步提高了预测指标。高等教育机构应该考虑到最能解释学生辍学现象的变量，以提高学生的保留率。
{"title":"Comparative Analysis of Prediction Techniques to Determine Student Dropout: Logistic Regression vs Decision Trees","authors":"Alfredo Perez, Elizabeth E. Grandón, Mónica Caniupán, Gilda Vargas","doi":"10.1109/SCCC.2018.8705262","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705262","url":null,"abstract":"Currently, the detection of students who may drop out from an academic program is a relevant issue for universities, so there are efforts to examine the variables that determine students' drop out. Drop out is defined in different ways, however, all the studies converge in that for a student to drop out a course of study, some variables must be combined. This study presents a comparison of performance indicators of the current drop out model of the Universidad del Bío-Bío (UBB), which is based on logistic regression technique and it is compared with a new model based on decision trees. The new model is obtained through data mining methodologies and it was implemented through the SAP Predictive Analytics tool. To train, validate, and apply the model, real data from the UBB databases were used. The comparison shows that the prediction of student´ drop out of the proposed model obtains an accuracy of 86%, a precision of 97% with an error rate of 14%, better indicators than the current values delivered by the model based on logistic regression. Subsequently, the prediction model obtained was optimized considering other variables, improving even more the prediction indicators. Higher education institutions should take into account the variables that explain the most the phenomenon of student´s drop out to improve the retention of their students.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"110 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133624830","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 : 2018-11-01DOI: 10.1109/SCCC.2018.8705238
Daniel Pérez, C. Ruiz-Tagle, J. Munoz-Gama, Michael Arias, L. Alarcón, M. Sepúlveda
Computer science tecniques, methodologies, and approaches, are directly applied to improve other enginnering disciplines. Construction is no exception, where software and data analysis are used to improve the processes of control and monitoring of construction projects. Most of the analysis are based on a key-value perspective analysis of the data. However, an emerging Process Mining discipline has proven to be able to capture a different process perspective. This interdisciplinary work is a step on this direction, proposing the Constraint Bag Process Model (CBPM), a novel use of Process Mining for answering process-oriented questions on construction projects.
{"title":"Constraint Bag Process Model: An Interdisciplinary Process Mining Approach to Lean Construction","authors":"Daniel Pérez, C. Ruiz-Tagle, J. Munoz-Gama, Michael Arias, L. Alarcón, M. Sepúlveda","doi":"10.1109/SCCC.2018.8705238","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705238","url":null,"abstract":"Computer science tecniques, methodologies, and approaches, are directly applied to improve other enginnering disciplines. Construction is no exception, where software and data analysis are used to improve the processes of control and monitoring of construction projects. Most of the analysis are based on a key-value perspective analysis of the data. However, an emerging Process Mining discipline has proven to be able to capture a different process perspective. This interdisciplinary work is a step on this direction, proposing the Constraint Bag Process Model (CBPM), a novel use of Process Mining for answering process-oriented questions on construction projects.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115201317","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 : 2018-11-01DOI: 10.1109/SCCC.2018.8705230
Fernando Linco, Mónica Caniupán
Compact data structures are data structures that allow compacting data without losing the ability of querying them in their compact form. We present algorithms to extend the functionality of the compact data structure CMHD (Compact representation of Multidimensional data on Hierarchical Domains), which allows the computation of aggregate queries with SUM function on multidimensional matrices. We implement the rest of aggregate functions, i.e., functions MIN , MAX , COUNT and AVG . We use the CMHD over Data Warehouses (DWs), that are collection of data organized to support the decision-making process. The improvement of efficiency of query processing in DWs is a very important issue. Therefore, various efforts have been made in that direction, such as materialization of views, use of indexes, among others. We show through experimentation over DWs with synthetic data, that by using a compact representation of DWs, we can achieve better performance in processing aggregate queries.
{"title":"Extending the CMHD Compact Data Structure to Compute Aggregations over Data Warehouses","authors":"Fernando Linco, Mónica Caniupán","doi":"10.1109/SCCC.2018.8705230","DOIUrl":"https://doi.org/10.1109/SCCC.2018.8705230","url":null,"abstract":"Compact data structures are data structures that allow compacting data without losing the ability of querying them in their compact form. We present algorithms to extend the functionality of the compact data structure CMHD (Compact representation of Multidimensional data on Hierarchical Domains), which allows the computation of aggregate queries with SUM function on multidimensional matrices. We implement the rest of aggregate functions, i.e., functions MIN , MAX , COUNT and AVG . We use the CMHD over Data Warehouses (DWs), that are collection of data organized to support the decision-making process. The improvement of efficiency of query processing in DWs is a very important issue. Therefore, various efforts have been made in that direction, such as materialization of views, use of indexes, among others. We show through experimentation over DWs with synthetic data, that by using a compact representation of DWs, we can achieve better performance in processing aggregate queries.","PeriodicalId":235495,"journal":{"name":"2018 37th International Conference of the Chilean Computer Science Society (SCCC)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115469145","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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