The amount of digital video data is increasing over the world. It highlights the need for efficient algorithms that can retrieve this data by content. The full use of this media is currently limited by the opaque natu...
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We present a method based on the formalism of Property Grammars to enrich the Arabic treebank ATB with syntactic constraints (so-called properties). The Property Grammar formalism is an effectively constraint-based ap...
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Speech Emotions recognition has become the active research theme in speech processing and in applications based on human-machine interaction. In this work, our system is a two-stage approach, namely feature extraction...
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Rocchio's relevance feedback model is a classic query expansion method and it has been shown to be effective in boosting information retrieval performance. The main problem with this method is that the relevant an...
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In the recent years, radical communities have become very aware of the enormous impact of social networks around the world. Thus, these latter are being frequently explored by these groups. Therefore, penetrating into...
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Since the first implementations of its principles, the Semantic Web presented a field of free work to ensure its integration and adaptation to the various domains of research. The application of Semantic Web technolog...
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Since the first implementations of its principles, the Semantic Web presented a field of free work to ensure its integration and adaptation to the various domains of research. The application of Semantic Web technologies into the process of search in a collection of SMIL documents appears a promising initiative seen the evolution of this language through its various versions. In this paper we propose a semantic search tool in a collection of SMIL documents;this tool adopts a procedure composed of three modules: description, interrogation and representation of the results. We employ for the first module metadata commonly used to annotate information semantically, and for the second we solicit languages of Semantic Web such as RDF, OWL and SPARQL and seen the importance of collaboration of ontologies in the semantic description of multimedia resources, we also present the technique of concepts connection allowing to extend an initial ontology.
We propose a novel hybrid phase-locked loop (PLL) architecture for overcoming the trade-off between fast locking time and low spur. To reduce the settling time and meanwhile suppress the reference spurs, we employ a...
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We propose a novel hybrid phase-locked loop (PLL) architecture for overcoming the trade-off between fast locking time and low spur. To reduce the settling time and meanwhile suppress the reference spurs, we employ a wide-band single-path PLL and a narrow-band dual-path PLL in a transient state and a steady state, respectively, by changing the loop bandwidth according to the gain of voltage controlled oscillator (VCO) and the resister of the loop filter. The hybrid PLL is implemented in a 0.18-μm complementary metal oxide semiconductor (CMOS) process with a total die area of 1.4×0.46 mm2. The measured results exhibit a reference spur level of lower than -73 dB with a reference frequency of 10 MHz and a settling time of 20 μs with 40 MHz frequency jump at 2 GHz. The total power consumption of the hybrid PLL is less than 27 mW with a supply voltage of 1.8 V.
作者:
Liu, YunpengQu, DanSchool of Information Systems Engineering
University of Information Engineering Laboratory For Advanced Computing and Intelligence Engineering Department of Artificial Intelligence Henan China Systems Engineering
University of Information Engineering Laboratory For Advanced Computing and Intelligence Engineering Henan China
Limited data availability remains a significant challenge for Whisper's low-resource speech recognition performance, falling short of practical application requirements. While previous studies have successfully re...
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Efficient and accurate early prediction of Alzheimer's disease (AD) based on the neuroimaging data has attracted interest from many researchers to prevent its progression. Deep learning networks have demonstrated ...
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Archer is a simulation environment and computing resource for research in the field of computer architecture. Archer facilitates the creation of an on-demand computing grid, the deployment of simulation tools on this ...
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