J. Comput. Sci. Technol.最新文献

{"title":"BPM and Socialization Tools Integrated to Improve Acquisition and Management of Information During Design and Execution of business processes: BPM-Social Tool: a proposal","authors":"Pablo Mennuto, Julio César Meca Belahonia, P. Bazán","doi":"10.24215/16666038.21.E7","DOIUrl":"https://doi.org/10.24215/16666038.21.E7","url":null,"abstract":"The use of BPM (Business Process Management) has matured over the years, reaching high levels of acceptance and utilization. Despite this, there are still points that BPM does not fully resolve. One of the main limitations of the use of BPM is the lack of a complete acquisition of valuable information during the design stage, taking place in contexts where communication between the stakeholders is not appropriate and it is not possible to fully collect essential data. At the execution stage, the participation of users has not been studied in depth to record detected problems or indicate improvements in business processes. The emergence and development of Web 2.0 opened a way to solve these problems. This work proposes to base how the socialization tools can solve current problems in BPM through a theoretical analysis added to the practical development of a socialization tool integrated to a BPMS (Business Process Management System).","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120951377","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":"Using Text Classification to Estimate the Depression Level of Reddit Users","authors":"S. Burdisso, M. Errecalde, M. Montes-y-Gómez","doi":"10.24215/16666038.21.E01","DOIUrl":"https://doi.org/10.24215/16666038.21.E01","url":null,"abstract":"Psychologists have used tests and carefully designed survey questions, such as Beck's Depression Inventory (BDI), to identify the presence of depression and to assess its severity level.On the other hand, methods for automatic depression detection have gained increasing interest since all the information available in social media, such as Twitter and Facebook, enables novel measurement based on language use.These methods learn to characterize depression through natural language use and have shown that, in fact, language usage can provide strong evidence in detecting depressive people.However, not much attention has been paid to measuring finer grain relationships between both aspects, such as how is connected the language usage with the severity level of depression.The present study is a first step towards that direction.We train a binary text classifier to detect ``depressed'' users and then we use its confidence value to estimate the user's clinical depression level.In order to do that, our system has to be able to fill the standard BDI depression questionnaire on users' behalf, based only on their posts in Reddit.Our proposal was publicly tested in the eRisk 2019 task obtaining the best and second-best performance among the other 13 submitted models.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131806376","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":"Target Tracking in Wireless Sensor Networks","authors":"Tauseef Ahmad","doi":"10.24215/16666038.21.E8","DOIUrl":"https://doi.org/10.24215/16666038.21.E8","url":null,"abstract":"A Wireless Sensor Network (WSN) consists of a group of tiny devices called sensors that communicate throughwireless links. Sensors are used to collect data about some parameters and send the collected data for furtherprocessing to a designated station. The designated station is often called command and control center (CCC),fusion center (FC), or sink. Sensors forward the collected data to their leaders or cluster heads, which in turn sendit to the centralized station. There are many applications of a WSN such as environmental monitoring, raisingalarms for fires in forests and multi-storied buildings, monitoring habitats of wild animals, monitoring children ina kindergarten, support system in play grounds, monitoring indoor patients in a hospital, precision agriculture,detection of infiltration along international boundaries, tracking an object or a target, etc.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132370967","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":"Experiences from a Data Analysis of Crimes against Humanity","authors":"Agustina Buccella, Daniel Manrique, David Troncoso, A. Cechich","doi":"10.24215/16666038.21.E03","DOIUrl":"https://doi.org/10.24215/16666038.21.E03","url":null,"abstract":"Data analysis is a widely researched field, where innumerable applications allow to discover domain particularities that are specially useful. In this paper, we introduce the data analysis process that we applied to two different systems storing information about statements and testimonies of crimes against Humanity. We describe the activities, design decisions and lessons learned from implementing a specific goal, which involves transforming text data into georeferenced information.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"170 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132690464","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":"SEDAR: Soft Error Detection and Automatic Recovery in High Performance Computing Systems","authors":"Diego Montezanti","doi":"10.24215/16666038.20.e14","DOIUrl":"https://doi.org/10.24215/16666038.20.e14","url":null,"abstract":"  \u0000Reliability and fault tolerance have become aspects of growing relevance in the field of HPC, due to the increased probability that faults of different kinds will occur in these systems. This is fundamentally due to the increasing complexity of the processors, in the search to improve performance, which leads to a rise in the scale of integration and in the number of components that work near their technological limits, being increasingly prone to failures. Another factor that affects is the growth in the size of parallel systems to obtain greater computational power, in terms of number of cores and processing nodes. \u0000As applications demand longer uninterrupted computation times, the impact of faults grows, due to the cost of relaunching an execution that was aborted due to the occurrence of a fault or concluded with erroneous results. Consequently, it is necessary to run these applications on highly available and reliable systems, requiring strategies capable of providing detection, protection and recovery against faults. \u0000In the next years it is planned to reach Exa-scale, in which there will be supercomputers with millions of processing cores, capable of performing on the order of 1018 operations per second. This is a great window of opportunity for HPC applications, but it also increases the risk that they will not complete their executions. Recent studies show that, as systems continue to include more processors, the Mean Time Between Errors decreases, resulting in higher failure rates and increased risk of corrupted results; large parallel applications are expected to deal with errors that occur every few minutes, requiring external help to progress efficiently. Silent Data Corruptions are the most dangerous errors that can occur, since they can generate incorrect results in programs that appear to execute correctly. Scientific applications and large-scale simulations are the most affected, making silent error handling the main challenge towards resilience in HPC. In message passing applications, a silent error, affecting a single task, can produce a pattern of corruption that spreads to all communicating processes; in the worst case scenario, the erroneous final results cannot be detected at the end of the execution and will be taken as correct. \u0000Since scientific applications have execution times of the order of hours or even days, it is essential to find strategies that allow applications to reach correct solutions in a bounded time, despite the underlying failures. These strategies also prevent energy consumption from skyrocketing, since if they are not used, the executions should be launched again from the beginning. However, the most popular parallel programming models used in supercomputers lack support for fault tolerance.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126802009","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 analysis of k-mer frequency features with SVM and CNN for viral subtyping classification","authors":"V. M. Arceda","doi":"10.24215/16666038.20.e11","DOIUrl":"https://doi.org/10.24215/16666038.20.e11","url":null,"abstract":"Viral subtyping classification is very relevant for the appropriate diagnosis and treatment of illnesses. The most used tools are based on alignment-based methods, nevertheless, they are becoming too slow due to the increase of genomic data; for that reason, alignmentfree methods have emerged as an alternative. In this work, we analyzed four alignment-free algorithms: two methods use k-mer frequencies (Kameris and Castor-KRFE); the third method used a frequency chaos game representation of a DNA with CNNs; and the last one processes DNA sequences as a digital signal (ML-DSP). From the comparison, Kameris and Castor-KRFE outperformed the rest, followed by the method based on CNNs.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116043809","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":"Sketching enactive interactions","authors":"Andrés Rodríguez","doi":"10.24215/16666038.20.e13","DOIUrl":"https://doi.org/10.24215/16666038.20.e13","url":null,"abstract":"Resumen de la tesis presentada por el autor el 22 de noviembre de 2019 para la obtencion del titulo de Doctor en Ciencias Informaticas por la Universidad Nacional de la Plata.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122852091","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":"Data Science & Engineering into Food Science: A novel Big Data Platform for Low Molecular Weight Gelators' Behavioral Analysis","authors":"Verónica Cuello, Gonzalo Zarza, M. Corradini, M. Rogers","doi":"10.24215/16666038.20.e08","DOIUrl":"https://doi.org/10.24215/16666038.20.e08","url":null,"abstract":"The objective of this article is to introduce a comprehensive end-to-end solution aimed at enabling the application of state-of-the-art Data Science and Analytic methodologies to a food science related problem. The problem refers to the automation of load, homogenization, complex processing and real-time accessibility to low molecular-weight gelators (LMWGs) data to gain insights into their assembly behavior, i.e. whether a gel can be mixed with an appropriate solvent or not. Most of the work within the field of Colloidal and Food Science in relation to LMWGs have centered on identifying adequate solvents that can generate stable gels and evaluating how the LMWG characteristics can affect gelation. As a result, extensive databases have been methodically and manually registered, storing results from different laboratory experiments. The complexity of those databases, and the errors caused by manual data entry, can interfere with the analysis and visualization of relations and patterns, limiting the utility of the experimental work. Due to the above mentioned, we have proposed a scalable and flexible Big Data solution to enable the unification, homogenization and availability of the data through the application of tools and methodologies. This approach contributes to optimize data acquisition during LMWG research and reduce redundant data processing and analysis, while also enabling researchers to explore a wider range of testing conditions and push forward the frontier in Food Science research.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133102654","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":"First steps towards a dynamical model for forest fire behaviour in Argentinian landscapes","authors":"M. Denham, K. Laneri, V. Zimmerman, Sigfrido Waidelich","doi":"10.24215/16666038.20.e09","DOIUrl":"https://doi.org/10.24215/16666038.20.e09","url":null,"abstract":"We developed a Reaction Diffusion Convection (RDC) model for forest fire propagation coupled to a visualization platform with several functionalities requested by local firefighters. The dynamical model aims to understand the key mechanisms driving fire propagation in the Patagonian region. We'll show in this work the first tests considering combustion and diffusion in artificial landscapes. The simulator, developed in CUDA/OpenGL, integrates several layers including topography, weather, and fuel data. It allows to visualize the fire propagation and also to interact with the user in simulation time. The Fire Weather Index (FWI), extensively used in Argentina to support operative preventive measures for forest fires management, was also coupled to our visualization platform. This additional functionality allows the user to visualize on the landscape the fire risks, that are closely related to FWI, for Northwest Patagonian forests in Argentina.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122682639","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":"Intelligent data analysis of the influence of COVID-19 on the stock market using Case Based Reasoning","authors":"Antonio Lorenzo Sánchez, J. A. Olivas","doi":"10.24215/16666038.20.e10","DOIUrl":"https://doi.org/10.24215/16666038.20.e10","url":null,"abstract":"Starting with the differences between forecasting and prediction and going deeper into prediction, a knowledge-based model is presented. The evolution of the stocks markets are analyzed, as well as how the epidemics and pandemics prior to the stock markets have affected them and how it is currently being affected by covid-19. The defined model is applied to a use case using Case-Based Reasoning (CBR): it makes an analogy between the 2008 crisis with the covid-19 crisis in 2020 to predict whether the stock markets will take more or less time to recover.","PeriodicalId":188846,"journal":{"name":"J. Comput. Sci. Technol.","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124576951","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}