In this work, an automatic method to distinguish, in X-band SAR images such as those supplied by Cosmo-SkyMed, water surfaces (either flooded, or permanent water bodies) from artifacts due to heavy precipitation, is d...
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ISBN:
(纸本)9781467311601
In this work, an automatic method to distinguish, in X-band SAR images such as those supplied by Cosmo-SkyMed, water surfaces (either flooded, or permanent water bodies) from artifacts due to heavy precipitation, is designed to improve flood detection accuracy. The method, mainly based on the fuzzy logic, consists of two main steps, i.e., the detection of low backscatter areas and the classification of each dark object present in the considered SAR image. The algorithm uses ancillary data, such as a local incidence angle map and a Land Cover map. Through the fuzzy logic, it integrates different rules for the detection of low backscatter areas (based on the standard deviation of the backscattering coefficient and on a well-established radar backscattering model), as well as different rules for the classification of the low backscatter (dark) areas (i.e., to distinguish water surfaces from artifacts) based on their geometrical and shape features and on both land cover and local incidence angle.
In this work we build the first BI-RADS parser for Portuguese free texts, modeled after existing approaches to extract BI-RADS features from English medical records. Our concept finder uses a semantic grammar based on...
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Nowadays, "cards" are becoming part of our lives. The cards enable us to obtain different kinds of services conveniently, but may also bring us economic loss if they are used illegally by some malicious thir...
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This paper presents the conceptual design of a virtual 3D quiz game based on a multi-agent system (MAS) architecture aptly named QuizMASter. The QuizMASter supports formative assessment by providing adaptive testing a...
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Adaptive management of a software service system can take advantage of a performance model which can predict the effect of proposed changes, before they are deployed. As the system varies over time the model parameter...
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ISBN:
(纸本)9781450305198
Adaptive management of a software service system can take advantage of a performance model which can predict the effect of proposed changes, before they are deployed. As the system varies over time the model parameters can be tracked by an estimator such as a Kalman Filter, so that decisions can be updated. The filter is valuable when parameters are "hidden" and cannot be directly measured without excessive cost (as is usually the case for the CPU time of a service). Because there may be significant delays in some management control actions (especially in deploying a new replica of a service), it is also important to be able to predict the changes ahead somewhat in time, that is, to predict the trends. The trend predictor itself needs to be estimated from observed trends in the model parameters. This work uses an autoregressive model for trend prediction and integrates it with the parameter estimator, in a single Kalman Filter, using auxiliary states for the parameter evolution process. This paper describes how the trend model is constructed, and evaluates its effectiveness. It compares the overall performance predictions to a simpler trend predictor using linear extrapolation of the fitted parameter time-series, which turns out to be almost as good. The approach is validated on a real system running a benchmark web application.
Most algorithms are run-to-completion and provide one answer upon completion and no answer if interrupted before completion. On the other hand, anytime algorithms have a monotonic increasing utility with the length of...
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The Manipuller is a novel Gestural Controller based on strings manipulation and multi-dimensional force sensing technology. This paper describes its motivation, design and operational principles along with some of its...
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News articles have always been a prominent force in the formation of a company's financial image in the minds of the general public, especially the investors. Given the large amount of news being generated these d...
In the development stage of the embedded system, the market demand and system development trend will be influence by the Time to Market. Reliable and fast system deployment is not easy to implement. Reduced price and ...
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