The UAV-mounted base station has been integrated into 5G and beyond to provide communication in an emergency when conventional systems fail due to some reason. Moreover, it is also used in coverage enhancement and for...
The UAV-mounted base station has been integrated into 5G and beyond to provide communication in an emergency when conventional systems fail due to some reason. Moreover, it is also used in coverage enhancement and for other strategic purposes. In this work, we have considered a MIMO-OFDM based UAV system that is inclined to fast-fading channels due to the continuous motion of UAVs. Due to the mobility of UAVs, there is a frequency and timing offset which must be estimated for proper and seamless communication. For that purpose, we have proposed a data-aided maximum likelihood-based scheme that efficiently estimates the carrier frequency and timing offset. Results show that our algorithm outperforms the state-of-the-art system in terms of MSE.
Musical note onset detection is a building component for several MIR related tasks. The ambiguity in the definition of a note onset and the lack of a standard way to annotate onsets, introduce differences in datasets ...
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Musical note onset detection is a building component for several MIR related tasks. The ambiguity in the definition of a note onset and the lack of a standard way to annotate onsets, introduce differences in datasets labeling, which in turn makes evaluations of note onset detection algorithms difficult to compare. This paper gives an overview of the parameters influencing the commonly used onset detection evaluation measure, i.e. the F1-score, pointing out a consistently missing parameter which is the overall time shift in annotations. This paper shows how crucial this parameter is in making reported F1-scores comparable among different algorithms and datasets, achieving a more reliable evaluation. As several MIR applications are concerned with the relative location of onsets to each other and not their absolute location, this paper suggests to include the overall time shift as a parameter when evaluating the algorithm performance. Experiments show a strong variability in the reported F1-score and up to 50% increase in the best-case F1-score when varying the overall time shift. Optimizing the time shift turns out to be crucial when training or testing algorithms with datasets that are annotated differently (e.g. manually, automatically, and with different annotators) and especially when using deep learning algorithms.
While extensively explored in text-based tasks, Named Entity Recognition (NER) remains largely neglected in spoken language understanding. Existing resources are limited to a single, English-only dataset. This paper a...
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The increasing complexity of smart phones makes them more susceptible to accidental failures. However, there is still little understanding on the dependability behavior of modern smart phones. In this paper, we propos...
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ISBN:
(纸本)9781479901807
The increasing complexity of smart phones makes them more susceptible to accidental failures. However, there is still little understanding on the dependability behavior of modern smart phones. In this paper, we propose the design and implementation of a logger to collect relevant failure data from iOS devices, such as iPhone and iPad. The preliminary use of the logger on real-world devices shows that it is able to collect meaningful failure data and to provide interesting insight on the dependability behavior of iOS.
The previous approaches have failed to effectually score the language proficiency of a non-native speakers especially in case of non-English languages which are complex and a slight change of pronunciation can alter t...
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A multilayer sphere with a fixed external radius and with an arbitrary number of layers, as a possible realization of a Radial Uniaxial (RU) sphere is presented. The well known quasi-static model for the polarizabilit...
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A multilayer sphere with a fixed external radius and with an arbitrary number of layers, as a possible realization of a Radial Uniaxial (RU) sphere is presented. The well known quasi-static model for the polarizability of the multilayer sphere is considered. The limits in which the multilayer sphere can be considered a RU sphere are discussed. Moreover different techniques are shown for layering the spheres and it is found which of them is convenient in terms of convergence speed.
This study evaluated the potential of using smartphone-acquired seismocardiographic (SCG) signals for monitoring cardiac deconditioning after prolonged bed rest (BR). Ten healthy volunteers were enrolled in a 10-day B...
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The Bit coin currency is steadily growing in popularity as an alternative to physical currencies. This paper presents an approach for utilizing the Bit coin system for creating permanent messages that are located on c...
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The Bit coin currency is steadily growing in popularity as an alternative to physical currencies. This paper presents an approach for utilizing the Bit coin system for creating permanent messages that are located on computers worldwide. By manipulating the amount field of Bit coin transactions, messages can be embedded into the Bit coin block chain. This approach was implemented by extending the Bit coin-Qt v0.7.2 application and the source code is freely available.
In this paper we utilize Bayesian modeling and inference to learn a softmax classification model which performs Supervised Classification and Active Learning. For p p-priors are used to impose sparsity on the adaptive...
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