作者:
Ferreira, Vitor HugoAlves Da Silva, Alexandre P.
Electrical Engineering Department Niterói RJ 24210-240 Brazil COPPE/UFRJ
Electrical Engineering Graduate Program Power Systems Laboratory P.O. Box 68504 Rio de Janeiro RJ 21945-972 Brazil
This paper combines several techniques to generate a fully data-driven forecasting model. Input selection is performed, without user intervention, by applying chaos theory and Bayesian inference. Afterwards, neural ne...
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Complexity and dynamism of day-to-day activities in organizations are inextricably linked, one impacting the other, increasing the challenges for constant adaptation of the way to organize work to address emerging dem...
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ISBN:
(纸本)9789898425065
Complexity and dynamism of day-to-day activities in organizations are inextricably linked, one impacting the other, increasing the challenges for constant adaptation of the way to organize work to address emerging demands. In this scenario, there are a variety of information, insight and reasoning being processed between people and systems, during process execution. We argue that process variations could be decided in real time, using context information collected. This paper presents a proposal for a business process line cycle, with a set of activities encapsulated in the form of components as central artefact. We explain how composition and adaptation of work may occur in real time and discuss a scenario for this proposal.
The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware arch...
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Real time rendering of three-dimensional scenes in high photorealistic detail is a hard task, such as in the Ray Tracing rendering algorithm. However, parallel implementations of Ray Tracing have been enabling real ti...
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Real time rendering of three-dimensional scenes in high photorealistic detail is a hard task, such as in the Ray Tracing rendering algorithm. However, parallel implementations of Ray Tracing have been enabling real time performance, as the algorithm is embarrassingly parallel. Thus, a custom parallel design in hardware is likely to achieve an acceptable performance. In this paper, we propose a hardware parallel architecture capable of dealing with the main desirable features of Ray Tracing, such as shadows and reflection effects, imposing low area cost and acceptable rendering performance.
Weightless Artificial Neural Networks have proved to be a promising paradigm for classification tasks. This work introduces the WANN-Tagger, which makes use of weightless artificial neural networks for labelling Portu...
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ISBN:
(纸本)9789898425324
Weightless Artificial Neural Networks have proved to be a promising paradigm for classification tasks. This work introduces the WANN-Tagger, which makes use of weightless artificial neural networks for labelling Portuguese sentences, tagging each of its terms with its respective part-of-speech. A first experimental evaluation using the CETENFolha corpus indicates the usefulness of this paradigm and shows that it outperforms traditional feedforward neural networks in both accuracy and training time, and also that it is competitive in accuracy with the Hidden Markov Model in some cases. Additionally, WANN-Tagger shows itself capable of incrementally learning new tagged sentences during runtime.
In this work, the variation of the grey-level content of B-Mode images is assessed, when the medium is subjected to large temperature variations. The goal is to understand how the features obtained from the grey-level...
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In this work, the variation of the grey-level content of B-Mode images is assessed, when the medium is subjected to large temperature variations. The goal is to understand how the features obtained from the grey-level pattern can be used to improve the actual state-of-the-art methods for non-invasive temperature estimation (NITE). Herein, B-Mode images were collected from a tissue mimic phantom heated in a water bath. Entropy was extracted from image Grey-Level Co-occurrence Matrix, and then assessed for non-invasive temperature estimation. During the heating period, the average temperature varies from 27 ∘ C to 44 ∘ C, and entropy values were capable of identifying variations of 2.0 ∘ C. Besides, it was possible to quantify variations in the range from normal human body temperature (37 ∘ C) to critical values, as 41 ∘ C. Results are promising and encourage us to study the uncertainty associated to the experiment trying to improve the parameter sensibility.
PatternLab for proteomics is a one-stop shop computational environment for analyzing shotgun proteomic data. Its modules provide means to pinpoint proteins/peptides that are differentially expressed and those that are...
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The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware arch...
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The main knowledge management challenges are to capture, store and reuse contextual knowledge generated during interactions that occur daily in an organization. In this paper, we propose an activity context-aware architecture to support knowledge management in working processes. The required features for this architecture are processing, reasoning and sharing contextual knowledge involving information about activities performed. We also present results from evaluation of our proposal — A-CoBrA — for a specific domain.
Speculative Multithreading (SpMT) increases the performance by means of executing multiple threads speculatively to exploit thread-level parallelism. By combining software and hardware approaches, we have improved the...
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We have proposed a checklist-based usability inspection technique (WDP - Web Design Perspectives-Based Usability Evaluation) specific for Web applications' usability evaluation and we are following an experimentat...
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