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12th Iberian Conference on Information Systems and Technologies, CISTI 2017

作者： Cechetti, Nathalia Pinto Biduki, Daiana De Marchi, Ana Carolina Bertoletti Graduate Program in Applied Computing - PPGCA/ICEG Universidade de Passo Fundo - UPF Passo Fundo Brazil

ISBN: (纸本)9789899843479

In the quest to engage and motivate users on the use of mobile applications, the gamification concept has been excelling in the market since incorporates game elements in a non-game context. Scoring systems, challenges, competitions and badges, are some of the elements implemented in many fields, such as health, education, ecological awareness, among others. In this context, this study aimed to systematically review available literature to identify gamification strategies used in mobile applications. A search was conducted in ACM, Science Direct and Scopus databases, from March to June 2016. A total of 402 studies were found, 23 of which met the eligibility criteria. The results demonstrated the heterogeneity of gamification elements being used and the impact they caused in the applications, especially as a motivational factor for users. This study provides the basis for future research on gamification methods and emphasizes the importance of this concept to increase engagement and provide enjoyment to users. © 2017 AISTI.

关键词： Mobile computing

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Fixed-wing UAV robust guidance strategy based on compound flight mission of on-ground targets 31

Fixed-wing UAV robust guidance strategy based on compound fl...

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31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018

作者： Olavo, José Lucas Gomes Torres, Leonardo Antônio Borges Jesus, Tales Argolo Graduate Program in Electrical Engineering UFMG Brazil Department of ElectronicsEngineering UFMG Brazil Department of Computing CEFET Brazil

ISBN: (纸本)9783932182884

A controlled fixed wing unmanned aerial vehicle is modeled based on a simplified low dimensional nonlinear dynamical system with additive disturbances. The guidance strategy proposed on a previous work is extended for the accomplishment of more complex flight missions. The trajectory is composed by subsequent targets or the concatenation of arcs of circumferences that compose the goal mission. The strategy seems to be robust to additive perturbations representing norm bounded uncertainties on the execution of the compound mission by the UAV. Simulations are provided on area mapping and border patrol missions on the map of the city of Belo Horizonte. © 31st Congress of the International Council of the Aeronautical Sciences, ICAS 2018. All rights reserved.

关键词： Unmanned aerial vehicles (UAV)

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Spectral Model for Soybean Yield Estimate Using MODIS/EVI Data

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International Journal of Geosciences 2013年第9期4卷 1233-1241页

作者： Anibal Gusso Jorge Ricardo Ducati Mauricio Roberto Veronez Damien Arvor Luiz Gonzaga da Silveira Jr. Environmental Engineering UNISINOSSao LeopoldoBrazil Remote Sensing Center and Astronomy Department UFRGSPorto AlegreBrazil Graduate Program in Geology UNISINOSSao LeopoldoBrazil Institut de Recherche Pour le Developpement(IRD) MontpellierFrance Graduate Program in Applied Computing UNISINOSSao LeopoldoBrazil

Attaining reliable and timely agricultural estimates is very important everywhere, and in Brazil, due to its characteristics, this is especially true. In this study, estimations of crop production were made based on the temporal profiles of the Enhanced Vegetation Index (EVI) obtained from Moderate Resolution Imaging Spectroradiometer (MODIS) images. The objective was to evaluate the coupled model (CM) performance of crop area and crop yield estimates based solely on MODIS/EVI as input data in Rio Grande do Sul State, which is characterized by high variability in seasonal soybean yields, due to different crop development conditions. The resulting production estimates from CM were compared to official agricultural statistics of Brazilian Institute of Geography and Statistics (IBGE) and the National Company of Food Supply (CONAB) at different levels from 2000/2001 to 2010/2011 crop years. Results obtained with CM indicate that its application is able to generate timely production estimates for soybean both at municipality and local levels. Validation estimates with CM at State level obtained R2 = 0.95. Combining all cropping years at municipality level, estimates were highly correlated to official statistics from IBGE, with R2 = 0.91 and RMSD = 10,840 tons. Spatially interpolated comparisons of yield maps obtained from the CM estimates and IBGE data also showed visual similarity in their spatial distribution. Local level comparisons were performed and presented R2 = 0.95. Implications of this work point out that time-series analysis of production estimates are able to provide anticipated spatial information prior to the soybean harvest.

关键词： Remote Sensing Coupled Model Soy Yield Forecast Satellite Images

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User interface modelling by implementing storytelling on Sundanese cultural introduction media for early childhood using child-centered design method 3

User interface modelling by implementing storytelling on Sun...

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3rd Annual Applied Science and Engineering Conference, AASEC 2018

作者： Ayuningtyas, O.D.J. Effendy, V. Kaburuan, E.R. School of Computing Universitas Telkom Jawa Barat Bandung Indonesia Graduate Program Universitas Bina Nusantara Jakarta Indonesia

The introduction of local culture to early age children in Indonesia is very necessary to maintain its sustainability. Several institutions of Early Childhood Education began to introduce local culture to their students, but the limited time and place to be a separate constraint for the activity. Digital media can solve this problem by presenting an introduction to local culture which can be accessed without time and place limitation, but there are some problems of using the existing application because children have their own characteristics and different ways of absorbing a knowledge. From the observation of an early childhood, it is known that children more easily absorb knowledge through playing game and listening to the story telling. Story telling invites children to develop their imagination and more memorable, so that information can be better absorbed. To accommodate the learning need, this research developed the User Interface (UI) by combining a game and a story telling. This modelling involves the participation of early childhood and companions using child-centered design (CCD) methods. The UI model then tested using System Usability Scale (SUS) to measure its usability score and obtained 85.833, which means the children feel satisfied in using the UI model. © Published under licence by IOP Publishing Ltd.

关键词： Digital storage

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Session Based Logging (SBL) for IP-traceback on network forensics

Session Based Logging (SBL) for IP-traceback on network fore...

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2006 International Conference on Security and Management, SAM'06

作者： Demir, Omer Ji, Ping Kim, Jinwoo Graduate Program on Forensics Computing John Jay College of Criminal Justice City University of New York United States

ISBN: (纸本)1601320019

The widely acknowledged problem of reliably identifying the origin of information in cyberspace has been the subject of much research. Due to the nature of the Internet protocol, the source IP can be easily falsified which results in numerous problems including infamous denial of service attacks. The combination of smart devices with powerful processing capabilities once observed only in mainframe computers decades ago and the presence of the Internet which allows communications between all those devices exacerbate the problem. In this paper, we propose a novel technique called Session Based Logging (SBL) for simple and effective IP-Traceback and logging mechanism. SBL is easy to implement and also has significant advantage of saving storage space over previously proposed schemes. Moreover the SBL approach has clear edge under sensitive privacy regulations since it does not need to capture detailed contents of each individual communication session. Experimental results show its potential and ease of execution from free of any agent software installation on the logging machine. The proposed SBL scheme on this paper currently supports only TCP sessions but we believe this approach could be further extended to UDP connections which have many inherent network security problems.

关键词： Internet protocols

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ProFog: A Proactive Elasticity Model for Fog computing-based IoT Applications 17

ProFog: A Proactive Elasticity Model for Fog Computing-based...

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17th International Conference on Web Information Systems and Technologies, WEBIST 2021

作者： Barth, Guilherme Gabriel da Rosa Righi, Rodrigo da Costa, Cristiano André Rodrigues, Vinicius Facco Applied Computing Graduate Program Universidade do Vale do Rio dos Sinos São Leopoldo Brazil

ISBN: (纸本)9789897585364

Today, streaming, Artificial Intelligence, and the Internet of Things (IoT) are being some of the main drivers to accelerate process automation in various companies. These technologies are often connected to critical tasks, requiring reliable and scalable environments. Although Fog computing has been on the rise as an alternative to address those challenges, we perceive a gap in the literature related to adaptability on the number of resources on both cloud and fog layers. Multiple studies suggest different Cloud-Fog architectures for IoT implementations, but not thoroughly addressing elasticity control mechanisms. In this context, this article presents ProFog as a proactive elasticity model for IoT-based Cloud-Fog architectures. ProFog uses the ARIMA prediction model to anticipate load behaviors, so triggering scaling actions as close to when they are required as possible. This strategy allows the delivery of new resources before reaching an overloaded or underloaded state, benefiting performance, and energy saving. We developed a ProFog prototype that showed an improvement of 11.21% in energy consumption in favor of ProFog. © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Internet of things

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A machine learning pipeline for extracting decision-support features from traffic scenes 12

A machine learning pipeline for extracting decision-support ...

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12th International Workshop on Agents in Traffic and Transportation, ATT 2022

作者： Fraga, Vitor A. Schreiber, Lincoln V. Kunst, Rafael Barbosa, Jorge Luis V. Ramos, Gabriel de O. Graduate Program in Applied Computing Universidade do Vale do Rio dos Sinos São Leopoldo Brazil

Traffic systems play a key role in modern society. However, these systems are increasingly suffering from problems, such as congestions. A well-known way to efficiently reduce this kind of problem is to perform traffic light control intelligently through reinforcement learning (RL) algorithms. In this context, extracting relevant features from the traffic environment to support decision-making becomes a central concern. Examples of such features include vehicle counting on each queue, identification of vehicles’ origins and destinations, among others. Recently, the advent of deep learning has paved to way to efficient methods for extracting some of the aforementioned features. However, the problem of identifying vehicles and their origins and destinations within an intersection has not been fully addressed in the literature, even though such information has shown to play a role in RL-based traffic signal control. Building against this background, in this work we propose a deep learning pipeline for extracting relevant features from intersections based on traffic scenes. Our pipeline comprises three main steps: (i) a YOLO-based object detector fine-tuned using the UAVDT dataset, (ii) a tracking algorithm to keep track of vehicles along their trajectories, and (iii) an origin-destination identification algorithm. Using this pipeline, it is possible to identify vehicles as well as their origins and destinations within a given intersection. In order to assess our pipeline, we evaluated each of its modules separately as well as the pipeline as a whole. The object detector model obtained 98.2% recall and 79.5% accuracy. The tracking algorithm obtained a MOTA of 72.6% and a MOTP of 74.4%. Finally, the complete pipeline obtained an error of 7.53% in terms of origin and destination counts. © 2021 Copyright for this paper by its authors.

关键词： Object detection

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Discovering frequent itemsets on uncertain data: A systematic review

Discovering frequent itemsets on uncertain data: A systemati...

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9th International Conference on International Conference on Machine Learning and Data Mining, MLDM 2013

作者： De Carvalho, Juliano Varella Ruiz, Duncan Dubugras Computing Science Graduate Program - Faculty of Informatics Pontifical Catholic University of RS - PUCRS Porto Alegre RS Brazil

ISBN: (纸本)9783642397110

In this paper, we describe the development of a systematic review about the topic "Discovering Frequent Itemsets on Uncertain Data". To the best of our knowledge, this work seems to be the first systematic review addressing the topic. We show the whole process executed and its findings. Initially we define a rigorous protocol to lead the process. In the first phase, we create a systematic mapping of the area. In addition, from the complete reading of each article, a panorama of this area is presented. We reveal the search engines that most publicize this topic and which publishing types, authors and research institutions are involved in these papers. Moreover we identify the algorithms and the classes of these algorithms most compared over the years, how are made these comparisons, as well as their availabilities. Therefore this systematic review becomes a rich material for understanding this knowledge area. © 2013 Springer-Verlag.

关键词： Search engines

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A proposal for postpartum support based on natural language generation model

A proposal for postpartum support based on natural language ...

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2018 International Conference on Computational Science and Computational Intelligence, CSCI 2018

作者： Zeni Montenegro, Joao Luis Andre Da Costa, Cristiano Da Rosa Righi, Rodrigo Roehrs, Alex Farias, Elson Romeu SOFTWARELAB Applied Computing Graduate Program Universidade Do Vale Do Rio Dos Sinos Sao Leopoldo Brazil

ISBN: (纸本)9781728113609

This article presents a Multifaceted Natural Language Generation Model to help women in a postpartum. This proposal supports speech and text interactions, developing responses through an ontology model and retrieval based-method techniques oriented to the welfare of women after the birth of their baby. We show a case study, introducing an architecture model of conversational agents, a scenario and a simulation of this proposal. Our results presented a better performance in response time generated from a retrieval based-method(two seconds), and similar response accuracy, slightly better for semantic queries (20% better). © 2018 IEEE.

关键词： Ontology

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Memoryless: A Two-phase Methodology for Setting Memory Requirements on Serverless Applications 17

Memoryless: A Two-phase Methodology for Setting Memory Requi...

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17th International Conference on Web Information Systems and Technologies, WEBIST 2021

作者： da Rosa Righi, Rodrigo Borges, Gabriel da Costa, Cristiano André Rodrigues, Vinicius Facco Applied Computing Graduate Program Universidade do Vale do Rio dos Sinos São Leopoldo Brazil

ISBN: (纸本)9789897585364

Serverless computing, also known as Function as a Service, is a new paradigm that aims to separate the user of the platform from details about any infrastructure deployment. The problem lies in the fact that all the current Serverless platforms require the user to specify at least the needed memory usage for their Serverless offerings. Here we have a paradox since the users must be involved in technical issues to run their applications efficiently, both in terms of execution time and financial costs. To the best of our knowledge, the state-of-the-art lacks on providing studies regarding the best memory size for a particular application setting. In this context, this work presents Memoryless, a computational methodology that is in charge of removing the completion of memory limits by the user when launching Serverless demands. To accomplish this, we introduce in the literature a twopass algorithm composed of a microbenchmark where users inform simple application parameters (first pass) and receive from the hypervisor the memory required to run their demands. In addition to user abstraction, financial cost also drives our research, since commonly this metric is directly proportional to the selected memory size. We implemented Memoryless using NodeJS, Kubeless, and Kubernetes. The result confirms that the proposed methodology is capable of lowering the memory needs to run an application while maintaining expected execution times. This benefits both cloud administrators (who can run more Serverless demands for different users in parallel) and cloud users, who will pay less on using the cloud, so exploring better the pay-as-you-go policy. © 2021 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Abstracting

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