In recent times, computer vision and pattern recognition (CVPR) technologies made automatic feature extraction, events detection possible in real-lime, on-the-fly video processing and streaming systems. However, these...
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the Web-based information systems have been much developed since the Internet is known as a global accessible open network. the Semantic Web vision aims at providing supplementary meaningful information (meta-data) ab...
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ISBN:
(纸本)9728865198
the Web-based information systems have been much developed since the Internet is known as a global accessible open network. the Semantic Web vision aims at providing supplementary meaningful information (meta-data) about Web resources in order to facilitate automatic processing by machines and interoperability between different systems. In this paper, we present an approach for the integration of heterogeneous databases in the Semantic Web context using semantic mediation approach based on ontology. the standard OWL language is used here as the ontology description language to formalize ontologies of local data resources and to describe their semantic correspondences in order to construct an integrated information system. We propose an architecture adopting mediator-wrapper approach for a mediation based on OWL. Some illustrations of database wrapping and semantic mediation using OWL are also presented in the paper.
information and communication technologies (ICT) facilitate the process of identification, collection, storing, processing and disseminating of information. the library and information science professionals are utiliz...
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Sensor networks are increasingly being used for applications which require fast processing of data, such as multimedia processing. Distributed computing can be used on a sensor network to reduce the completion time of...
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Rate-distortion optimization is the key technique in video coding standards to efficiently determine a set of coding parameters. In the R-D optimization for H.264 I-frame encoder, the distortion (D) is measured as the...
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A visibility enhancement technique for highly-scattering media (e.g. turbid water) using an adaptive fusion of gated images is proposed. Returning signal profiles produced by gated imaging contain two peaks: the backs...
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In this paper a new predictive lossless coding scheme is proposed. the prediction is based on a cascaded peak to valley linear prediction method (PVLP). this method is based on simple linear prediction between the det...
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In this paper a new predictive lossless coding scheme is proposed. the prediction is based on a cascaded peak to valley linear prediction method (PVLP). this method is based on simple linear prediction between the detected feature points. Experimental results on different types of music and songs show a new competitive compression ratio compared to the other algorithms of the lossless audio compression.
In recent years much work has been done to find regularities in data streams. Normally streams are complete and well ordered. Major defects, such as incomplete or misleading events, occur in practice at least after so...
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In recent years much work has been done to find regularities in data streams. Normally streams are complete and well ordered. Major defects, such as incomplete or misleading events, occur in practice at least after some finite time. In this paper we describe a method developed for recognizing previously known patterns from a data stream. the solution is based on case based reasoning (CBR) with an extension to handle imperfect information. We also introduce a new idea to use two different case-bases instead of only one. the performance has been evaluated using simulated data and the obtained results are considered encouraging.
A distributed approach to the surveillance is presented. A clustering architecture is modelled and the behavior of the corresponding heterogeneous random network with self-organizing capability is investigated. Two ty...
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A distributed approach to the surveillance is presented. A clustering architecture is modelled and the behavior of the corresponding heterogeneous random network with self-organizing capability is investigated. Two types of sensors, simple and complex, spread out over the surveillance area. Simple sensors can only compute binary information (yes or no detection); complex sensors, instead, are able to form a target track. A two-way efficient local communication among sensors is hypothesized. From it, a global coherent behaviour of the network emerges, and the resulting network is able to track the moving objects. Benefits and drawbacks of our solution are analysed by means of Monte Carlo simulations.
SNMP is the most widely used network management protocol. Since SNMP is based on a centralized approach, it is confronted with scalability and efficiency problems when the network expands. XML-based network management...
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SNMP is the most widely used network management protocol. Since SNMP is based on a centralized approach, it is confronted with scalability and efficiency problems when the network expands. XML-based network management is a new paradigm developed to overcome these limitations. In this paper, we propose a framework for adaptive load-balancing using JPVM for XML-based network management. the goal is to increase the efficiency of processingthe management data, and decrease the communication time by distributing the management load across multiple XML/SNMP gateways. the load distribution among multiple gateways is adapted to achieve better results.
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