G. Reyes, L. Lanzarini, César Estrebou, A. F. Bariviera
{"title":"Dynamic grouping of vehicle trajectories","authors":"G. Reyes, L. Lanzarini, César Estrebou, A. F. Bariviera","doi":"10.24215/16666038.22.e11","DOIUrl":"https://doi.org/10.24215/16666038.22.e11","url":null,"abstract":"Vehicular traffic volume in large cities has increased in recent years, causing mobility problems; therefore,the analysis of vehicle flow data becomes a relevant research topic. Intelligent Transportation Systems monitor and control vehicular movements by collecting GPS trajectories, which provides the geographic location of vehicles in real time. Thus information is processed using clustering techniques to identify vehicular flow patterns. This work presents a methodologycapable of analyzing the vehicular flow in a given area, identifying speed ranges and keeping an interactivemap updated that facilitates the identification of possible traffic jam areas. The results obtained on threedata sets from the cities of Guayaquil-Ecuador, RomeItaly and Beijing-China are satisfactory and clearlyrepresent the speed of movement of the vehicles, automatically identifying the most representative ranges inreal time.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"17 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":"130390870","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}
N. Katuk, R. Vergallo, Tito Sugiharto, R. Krisdiawan
{"title":"A Client-based User Authentication Scheme for the Cloud of Things Environment","authors":"N. Katuk, R. Vergallo, Tito Sugiharto, R. Krisdiawan","doi":"10.24215/16666038.22.e08","DOIUrl":"https://doi.org/10.24215/16666038.22.e08","url":null,"abstract":"The limited capabilities of IoT devices have resulted in some of the tasks of IoT applications being distributed to a cloud server, which witnessed the arisen of the cloud of things (COT). It enables IoT applications' development and deployment as a service, providing additional data storage, enhanced processing performance, and fast communication between devices. As COT involves communication between IoT devices, a remote server, and users, remote user authentication is crucial to meeting security demands. Therefore, this study designs a client-based user authentication scheme utilizing smartphone fingerprint recognition technology to fill the gap. The scheme comprises six phases, namely (i) configuration phase, (ii) enrolment phase, (iii) authentication phase, (iv) password update phase, (v) fingerprint revocation phase, and (vi) smartphone revocation phase. The security analysis and automated verification using ProVerif suggested that the scheme is resistant to user impersonating attacks, replay attacks, and man-in-the-middle attacks.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"218 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":"115522025","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}
Juan Cristian Daniel Miguel, Andrés Chimuris Gimenez, Nicolás Garrido, Matias Bassi, Gabriela Velazquez, Marisa Panizzi
{"title":"State of the art on the conceptual modeling of serious games through a systematic mapping of the literature","authors":"Juan Cristian Daniel Miguel, Andrés Chimuris Gimenez, Nicolás Garrido, Matias Bassi, Gabriela Velazquez, Marisa Panizzi","doi":"10.24215/16666038.22.e13","DOIUrl":"https://doi.org/10.24215/16666038.22.e13","url":null,"abstract":"Serious games are those games whose objective is to stimulate learning or the acquisition of knowledge or a skill. Currently, there is a trend in the market towards the generation of this type of games. Given the importance of conceptualizing the domain of a problem and its solution, this paper presents the results of a systematic mapping of the literature, Systematic Mapping Study (SMS), with the purpose of identifying the state of the art and discovering the existing contributions regarding the conceptual modeling of serious games. A search was carried out in Scopus, IEEE Xplore and ACM digital libraries from January 2010 to June 2021. Of a total of 558 articles identified, 31 primary studies were analyzed. It was evidenced that the use of UML prevails for the modeling of serious games, mainly for class and activity diagrams, together with other languages such as UP4EG, DSML, Deterministic Finite Automaton (DFA), Discrete Event System Specification (DEVS) and Fuzzy Inference Systems (FIS). Thirty percent of the primary studies propose a framework and another 30% propose a development methodology. Most of these frameworks do not specify how to perform conceptual modeling.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"11 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":"114382667","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}
Joel Arnaldo Gimenez Catacora, Ana Casali, C. Deco
{"title":"Legal Information Retrieval System with Entity-Based Query Expansion: Case study in Traffic Accident Litigation","authors":"Joel Arnaldo Gimenez Catacora, Ana Casali, C. Deco","doi":"10.24215/16666038.22.e12","DOIUrl":"https://doi.org/10.24215/16666038.22.e12","url":null,"abstract":"This article describes an information retrieval system with entity query expansion by relevance feedback.The performance of the system is tested assuming its usage as a support tool for lawyers constructing a legalframework for a case. The objective is to improve the precision of results when searching for relevantjurisprudence. For this, the entities belonging to a knowledge base are used as a means to expand thequery. The expansion can be done using either an automatic or an interactive mechanism. This secondapproach suggests to the user concepts related to the query, which might improve the search experience. Anontology and a knowledge base, called LegalOnto and LegalBase, respectively, were developed. The ontology includes concepts not addressed by existing legal ontologies, and the knowledge base integrates LegalOnto with the thesaurus of the Argentine System of Legal Information (Sistema Argentino de Informacion ´Jur´ıdica: SAIJ), enriched in the subject of traffic accidents. Quantitative experimentation is carried out upon aset of court documents that are used to populate the knowledge base. Preliminary results are encouraging.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"9 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":"116768248","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}
Genaro Camele, W. Hasperué, Franco Ronchetti, F. Quiroga
{"title":"Statistical analysis of the performance of four Apache Spark ML algorithms","authors":"Genaro Camele, W. Hasperué, Franco Ronchetti, F. Quiroga","doi":"10.24215/16666038.22.e14","DOIUrl":"https://doi.org/10.24215/16666038.22.e14","url":null,"abstract":"Feature selection (FS) techniques generally require repeatedly training and evaluating models to assess theimportance of each feature for a particular task. However, due to the increasing size of currently availabledatabases, distributed processing has become a necessity for many tasks. In this context, the Apache SparkML library is one of the most widely used libraries for performing classification and other tasks with largedatasets. Therefore, knowing both the predictive performance and efficiency of its main algorithms beforeapplying a FS technique is crucial to planning computations and saving time. In this work, a comparativestudy of four Spark ML classification algorithms is carried out, statistically measuring execution times andpredictive power based on the number of attributes from a colon cancer database. Results were statistically analyzed, showing that, although Random Forest and Na¨ıve Bayes are the algorithms with the shortest execution times, Support Vector Machine obtains models with the best predictive power. The study of the performance of these algorithms is interesting as they are applied in many different problems, such as classification of pathologies from epigenomic data, image classification, prediction of computer attacks in network security problems, among others.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","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":"129075927","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}
María José Belda, Katzalin Olcoz, Fernando Castro, F. Tirado
{"title":"Optimization of a line detection algorithm for autonomous vehicles on a RISC-V with accelerator","authors":"María José Belda, Katzalin Olcoz, Fernando Castro, F. Tirado","doi":"10.24215/16666038.22.e10","DOIUrl":"https://doi.org/10.24215/16666038.22.e10","url":null,"abstract":"In recent years, autonomous vehicles have attracted theattention of many research groups, both in academiaand business, including researchers from leading com-panies such as Google, Uber and Tesla. This type ofvehicles are equipped with systems that are subjectto very strict requirements, essentially aimed at per-forming safe operations –both for potential passengersand pedestrians– as well as carrying out the process-ing needed for decision making in real time. In manyinstances, general-purpose processors alone cannotensure that these safety, reliability and real-time re-quirements are met, so it is common to implementheterogeneous systems by including accelerators. Thispaper explores the acceleration of a line detection ap-plication in the autonomous car environment using aheterogeneous system consisting of a general-purposeRISC-V core and a domain-specific accelerator. In par-ticular, the application is analyzed to identify the mostcomputationally intensive parts of the code and it isadapted accordingly for more efficient processing. Fur-thermore, the code is executed on the aforementionedhardware platform to verify that the execution effec-tively meets the existing requirements in autonomousvehicles, experiencing a 3.7x speedup with respect torunning without accelerator.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","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":"115994569","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":"An SPL Reference Model based on Domain Taxonomies & Standards","authors":"Agustina Buccella, A. Cechich","doi":"10.24215/16666038.22.e09","DOIUrl":"https://doi.org/10.24215/16666038.22.e09","url":null,"abstract":"Building reusable software is always a challenge, even when well-established approaches are applied. Software Product Line (SPL) development is one these approaches, which allows domain modeling be a way of dealing with common and variable aspects of reality. However, domain engineering itself can be complex, many times depending on the domain scope and/or its associated functionality. In this paper, our proposal to SPL development is structured as a leveled reference model built upon standardized semantic resources. This model and its associated process are exemplified through several cases from the field, drawing influencing factors subjectively assessed. Our experiences show that systematically enriching domain engineering may improve SPL development in the practice.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"30 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":"115612276","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}
M. Larrea, Mart´ın Schiaffino, M. L. Ganuza, Dana K. Urribarri
{"title":"Testing Tool for Information Visualizations based on User Interactions","authors":"M. Larrea, Mart´ın Schiaffino, M. L. Ganuza, Dana K. Urribarri","doi":"10.24215/16666038.22.e06","DOIUrl":"https://doi.org/10.24215/16666038.22.e06","url":null,"abstract":"Decision-making has become a vital tool in any organization, evolving from a process based on experience and intuition to one increasingly established in data analysis. One type of specialized software for data analysis is that of visual representations for large data sets. Visual representations are critically important today as they enable effective exploration of a data set and facilitate the task of identifying patterns and drawing conclusions. Every day more decisions are made based on visual analysis through visual representations of large data sets. It is not only a quantitative but also a qualitative increase. Decisions are more critical and with more impact on society, the environment, and individuals. In this context, it is essential to develop new and better methodologies and tools that allow the visualization developer to ensure the correct functioning of visual representations and their interactions. To achieve this goal, we present a web platform that assists in visualization testing through user interactions. This platform is based on a previously published black box testing technique for information visualizations that uses regular expressions to represent the sequence of user interactions.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125767949","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}
N. Emran, N. Abdullah, N. Harum, Amelia R. Ismail, Azlin Nordin, I. Caballero
{"title":"Eco-friendly Database Space Saving Using Proxy Attributes","authors":"N. Emran, N. Abdullah, N. Harum, Amelia R. Ismail, Azlin Nordin, I. Caballero","doi":"10.24215/16666038.22.e04","DOIUrl":"https://doi.org/10.24215/16666038.22.e04","url":null,"abstract":"Rapid data growth and inefficient data storage are two concerning issues in green computing. The decision on the eco-friendly technology to use often relies on the amount of carbon footprint produced. Thus, it would be valuable to avoid inefficient electric power utilization by minimizing physical data storages to store large data volumes. This paper reported the implementation of proxy attributes to reduce space by optimizing the available database space through attributes substitution. We examine a set of proxies retrieved from the Comprehensive Microbial Resource (CMR) public database regarding their space-saving and accuracy properties. The results indicated that the proxies understudy offer space-saving while maintaining accuracy.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129870691","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":"VISUEL - A Web Dynamic Dashboard for DataVisualization","authors":"Antonella S. Antonini, M. L. Ganuza, S. Castro","doi":"10.24215/16666038.22.e03","DOIUrl":"https://doi.org/10.24215/16666038.22.e03","url":null,"abstract":"Data visualization aims to explore and analyze data quickly, interactively, and intuitively using visual representations. Faced with the constant growth of data in terms of volume and diversity, visualization techniques must confront the challenge of dealing with increasingly large datasets in terms of representation, interaction, and performance. Therefore, these techniques must be able to effectively convey the characteristics of the information space and inspire discovery.In this article, we present VISUEL, a web dynamic dashboard for data visualization. VISUEL supports multiple coordinated views, integrating visualization techniques such as scatter plots, parallel coordinates, and box plots, and interactive schematic maps to represent information enriched with spatial references.VISUEL is fully interactive, supporting traditional interactions like filtering, selection, brushing and linking, and zooming, among others. It also allows the user to configure the visual representation of their data, by selecting the color and shape of the representations.We illustrate the usefulness of this tool using real-life data related to the wine industry in Argentina. Important aspects of our case study are discovered through the construction and analysis of multiple views.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127171249","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}