{"title":"A Method to Suggest Alternative Routes Based on Analysis of Automobiles' Trajectories","authors":"J. P. Schmitt, F. Baldo","doi":"10.1109/CLEI.2018.00059","DOIUrl":"https://doi.org/10.1109/CLEI.2018.00059","url":null,"abstract":"Inexperienced drivers usually use the most-known paths to move inside the cities, while drivers with a better knowledge of the road network normally taken alternative routes that are shorter, faster or safer. This knowledge about roads usage, when shared with other drivers, could offer more paths options to distribute the traffic load across the city by suggesting alternative routes. However, the problem lies in how to suggest alternative route directions for ordinary drivers considering knowledge gathered from experienced drivers. In order to try to solve this problem, it is proposed an algorithm, named TODS - Trajectory Outlier Detection and Segmentation, to group and segment car road trajectories in standard and alternative routes based on city roads usage in different day times periods. After that, the segmentation results are suggested as driving directions for ordinary drivers. To evaluate the results was performed a qualitative comparison with TRA-SOD algorithm considering the segmentation process. The tests were executed using two trajectories datasets collected by drivers in San Francisco - USA and Joinville - Brazil. The results assessment indicate that TODS is superior to TRA-SOD due to its segmentation characteristics. Besides that, it has been observed that the time period of the day influences how routes are used along the day.","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"129 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132504642","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":"Resource Scheduling for Mobility Scenarios with Time Constraints","authors":"Marcelo Petri, Janine Kniess, R. S. Parpinelli","doi":"10.1109/CLEI.2018.00030","DOIUrl":"https://doi.org/10.1109/CLEI.2018.00030","url":null,"abstract":"This paper presents an approach for resource scheduling in service discovery to MANETs operating in cenarios with time constraints, as emergency scenarios. The shared resources can be ambulances or rescue cars. With an efficient model of resource scaling, it is intended to provide the largest number of victims in the shortest time. In this work, we present an approach for resource scheduling modeled based on two concepts: Genetic Algorithm and A-Star Algorithm. The results obtained from the Network Simulator (NS3) show that the resource scheduling mechanism is efficient in response time and scalable in relation to different numbers of victims.","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133965742","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":"Symposia Chairs","authors":"","doi":"10.1109/clei.2018.00009","DOIUrl":"https://doi.org/10.1109/clei.2018.00009","url":null,"abstract":"","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131848332","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}
Wagner A. S. Altoé, Dayan de C. Bissoli, G. R. Mauri, André R. S. Amaral
{"title":"A Clustering Search Metaheuristic for the Bi-objective Flexible Job Shop Scheduling Problem","authors":"Wagner A. S. Altoé, Dayan de C. Bissoli, G. R. Mauri, André R. S. Amaral","doi":"10.1109/CLEI.2018.00027","DOIUrl":"https://doi.org/10.1109/CLEI.2018.00027","url":null,"abstract":"The Flexible Job Shop Scheduling Problem (FJSP) is an extension of Job Shop Scheduling (JSP), which is closer to reality, allowing an operation of a given job to be processed by alternative machines. Considering that for some industries it is relevant to consider for more than one objective, the FJSP is treated in this study in a multiobjective way whit the following criteria: the last processing time of the last operation, called makespan, and the total tardiness. Therefore, it is proposed an algorithm based on the Clustering Search (CS) metaheuristic to generate solutions, and thus produce a set of non-dominated solutions in order to obtain the Pareto frontier, providing to decision maker a set of quality solutions. To evaluate the CS, we proposed a set of instances considering due dates for the jobs, to enable analysis of the bi-objective FJSP (BOFJSP). The CS results were competitive when compared to the literature, generating several non-dominated solutions.","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"125 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127404756","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}
Fernanda Amâncio, M. Fantinato, P. Hung, Gustavo Coutinho, Jorge Roa
{"title":"Evaluation of the Perception of Brazilians about Smart Toys and Children's Privacy","authors":"Fernanda Amâncio, M. Fantinato, P. Hung, Gustavo Coutinho, Jorge Roa","doi":"10.1109/CLEI.2018.00046","DOIUrl":"https://doi.org/10.1109/CLEI.2018.00046","url":null,"abstract":"The concept of children's toys has undergone many changes over the years, evolving from simple physical products to toys that add elements of the digital world using software and hardware components. This evolution has raised concerns about potential child privacy issues regarding the use of smart toys. A smart toy consists of a physical component connected to a computer system with online services to enhance the functionality of a traditional toy. This type of toy is still not widely known in Brazil and hence the opinion of Brazilian consumers regarding the acceptance of this technology when it is widespread in this country is not known yet. This paper aims to present the results of an evaluation about the perception of potential Brazilian consumers about issues involving children's privacy with the use of smart toys and whether this technology would be accepted when available in the Brazilian toy market. Semi-structured interviews were conducted with 14 participants producing data that were analyzed through the content analysis technique. The results showed concern on the part of parents when their children are connected to the internet. Moreover, parental control in smart toys would be well accepted by these potential consumers.","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116882096","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":"Monitoring and Analyzing Service Execution from Business Processes: An AXIS Extension","authors":"Andrea Delgado","doi":"10.1109/CLEI.2018.00075","DOIUrl":"https://doi.org/10.1109/CLEI.2018.00075","url":null,"abstract":"Implementing Business Processes (BPs) with services (and microservices) is nowadays the main way to support the execution of automated activities in processes, both within the organization itself, and externally interacting with customers, suppliers and other participants. In order to do so, it is important not only to model and implement services but also to define Quality of Service (QoS) characteristics for services, to monitor and evaluate their execution. Although there are many proposals for services monitoring and evaluation from the services point of view, there are not many from the BPs perspective. In this paper we present a reference architecture for service monitoring tools, along with a prototype implementation as an extension of the web services execution environment AXIS2. We show that existing service measures and new ones can be defined into the monitor to collect execution data and relate this data with BPs execution, to measure BPs and service execution in an integrated manner.","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127169523","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}
Ana Kachorowski, J. Wendler, Regina Albuquerque, Rafaela Mantovani Fontana, A. Malucelli, S. Reinehr
{"title":"What Motivates Software Developers?","authors":"Ana Kachorowski, J. Wendler, Regina Albuquerque, Rafaela Mantovani Fontana, A. Malucelli, S. Reinehr","doi":"10.1109/CLEI.2018.00016","DOIUrl":"https://doi.org/10.1109/CLEI.2018.00016","url":null,"abstract":"One of the main objectives in software engineering is that software projects are well succeeded, that is, delivering a high quality software product within due date. Considering that software development is an activity highly dependent on people, recent research has been showing that human factors in software engineering – such as motivation – impact projects results. This study aims thus at identifying motivating factors for practitioners that develop software, having a motivation theory as a foundation. Our research approach was the survey. We got 79 responses from practitioners from different organizations. Results show that motivation is related to existence, growth, relationships and interpersonal issues. We also identified a relation between motivation and turnover, motivation and the time working in a company, and motivation and the software process model used by practitioners.","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128878871","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}
Natália J. S. de Oliveira, S. Siqueira, L. Andrade
{"title":"OntoMotivation: Combining Motivation Theories","authors":"Natália J. S. de Oliveira, S. Siqueira, L. Andrade","doi":"10.1109/CLEI.2018.00049","DOIUrl":"https://doi.org/10.1109/CLEI.2018.00049","url":null,"abstract":"For some years, motivation has been object of study in Psychology and Education. The main contribution of this work was to create an ontology that combines concepts related to motivation from two theories: the Self-Determination Theory and the Functional Approach to Volunteer Motivations. Through this alignment of concepts it is possible to understand better whether the factors that lead the individual to remain in volunteering are extrinsic or intrinsic. Results show that the process of unification of these theories has a high degree of association between the concepts studied. However, it demands more study on other Psychology theories, although it has great potential for capturing the users' motivation characteristics in Information Systems and promote adaptability.","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126830278","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}
Lusas S. Rodrigues, S. O. Rezende, M. Moura, R. Marcacini
{"title":"Agribusiness Time Series Forecasting using Perceptually Important Events","authors":"Lusas S. Rodrigues, S. O. Rezende, M. Moura, R. Marcacini","doi":"10.1109/CLEI.2018.00040","DOIUrl":"https://doi.org/10.1109/CLEI.2018.00040","url":null,"abstract":"Modern agribusiness management incorporates instruments for risk management with the objective of mitigating uncertainties to the producer. In this context, the producer (risk averse) transfer the risk of price oscillation to companies or individuals that operate in the futures market and who expect to receive a payment (risk premium) for assuming such risk. Defining the adequate strategies for risk management depends on the knowledge about the problem to determine prices ranges in the future. Recent studies demonstrate that time series forecasting can be significantly improved by considering additional information about the problem. In particular, besides the historical time series, textual knowledge extracted from the news portals, social networking and other public data sources available in the web may also be used. This paper presents an approach for agribusiness time series forecasting that allows incorporating external knowledge in the form of events extracted from news about agribusiness, without the need to previously label textual information. In this case, periods of significant uptrends and downtrends of time series are automatically identified — known in the literature as perceptually important points (PIP). We extend the concept of PIP to news events, where similar events published with a certain regularity in periods of uptrends and downtrends are selected as perceptually important events to improve time series forecasting models. An experimental evaluation based on price prediction on ten corn futures contracts (derivatives) provides evidence that the proposed approach is promising.","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115764460","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":"A DevOps Introduction Process for Legacy Systems","authors":"Vinícius Lima Cruz, A. Albuquerque","doi":"10.1109/CLEI.2018.00025","DOIUrl":"https://doi.org/10.1109/CLEI.2018.00025","url":null,"abstract":"Legacy systems are a challenge for the operations of modern organizations as they limit the growth of business and their changing ability. However, they are often systems suited to their purpose, they deliver the expected value and investment in them is justifiable. The concept of DevOps has come to reduce the separation between development and operations teams in software development companies, decreasing the product lifecycle. With this concept comes the practice of continuous delivery, allowing teams to deliver and deploy any version of their software in any computing environment at any time through a fully automated process. This practice improves the feedback of the development process, so problems could be identified and resolved as early as possible. In this paper, we present an experience of deploying DevOps, and propose a structured process for deploying DevOps and its modifications necessary to adapt to legacy systems in order to the delivery process of the legacy systems has a short and high quality lifecycle, delivering frequent versions in an automated way.","PeriodicalId":379986,"journal":{"name":"2018 XLIV Latin American Computer Conference (CLEI)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122641340","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}