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, challenge...
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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...
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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 t...
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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.
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 studen...
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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 ...
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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.
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 ...
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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 traffi...
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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 r...
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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 b...
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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 c...
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