Instead of earlier traditional farming, wireless sensor networks (WSNs) can be effectively used in the precision agriculture to improve the farmer’s livelihood. Whereas, hierarchical routing based protocols in WSNs a...
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We present an expanded version of our tool STV for model checking of strategic abilities. The new version adds support for knowledge and uncertainty operators, thus enabling the verification of properties such as priv...
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There are several optical flow models which aim to capture spatial characteristics of the flow such as divergence and curl. However accurate estimation is often a key challenge. In this context, we propose a variation...
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In the cloud environment,ensuring a high level of data security is in high *** planning storage optimization is part of the whole security process in the cloud *** enables data security by avoiding the risk of data lo...
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In the cloud environment,ensuring a high level of data security is in high *** planning storage optimization is part of the whole security process in the cloud *** enables data security by avoiding the risk of data loss and data *** development of data flow scheduling approaches in the cloud environment taking security parameters into account is *** our work,we propose a data scheduling model for the cloud *** is made up of three parts that together help dispatch user data flow to the appropriate *** first component is the Collector Agent whichmust periodically collect information on the state of the network *** second one is the monitoring agent which must then analyze,classify,and make a decision on the state of the link and finally transmit this information to the *** third one is the scheduler who must consider previous information to transfer user data,including fair distribution and reliable *** should be noted that each part of the proposedmodel requires the development of its *** this article,we are interested in the development of data transfer algorithms,including fairness distribution with the consideration of a stable link *** algorithms are based on the grouping of transmitted files and the iterative *** proposed algorithms showthe performances to obtain an approximate solution to the studied problem which is an NP-hard(Non-Polynomial solution)*** experimental results show that the best algorithm is the half-grouped minimum excluding(HME),with a percentage of 91.3%,an average deviation of 0.042,and an execution time of 0.001 s.
In this study, we explore the concept of cosmological inflation within the framework of the f(T, T)theory of gravity, where f is a general function of the torsion scalar T and the trace T of the energy-momentum *** is...
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In this study, we explore the concept of cosmological inflation within the framework of the f(T, T)theory of gravity, where f is a general function of the torsion scalar T and the trace T of the energy-momentum *** is assumed that the conditions of slow-roll inflation are applicable in f(T, T) gravity. To determine different observables related to inflation, such as the tensor-to-scalar ratio r, scalar spectral index ns, spectral index αs, and tensor spectral index nt, the Hubble slow-roll parameters are utilized for a particular model of f(T, T). Lastly, an assessment is carried out to determine the feasibility of the models by conducting a numerical analysis of the parameters. The findings indicate that it is feasible to achieve compatibility with the observational measurements of slow-roll parameters by utilizing different values of the free parameters.
We study exact algorithms for Metric TSP in d. In the early 1990s, algorithms with (Formula Presented) running time were presented for the planar case, and some years later an algorithm with (Formula Presnted) running...
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Speech-to-Speech translation is attracting increasing attention from researchers due to its potential of easing the communication. It can be leveraged to develop voice user interfaces for important services, such as a...
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Robotics is an amalgamation of mechanical engineering and computerscience. Mechanical engineering helps to design and develop mechanical parts and devices for control systems in robots. Space robots and robotics are ...
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作者:
Merabet, AdilAlioua, AhmedUniversity of Jijel
Institute of Mathematics And Computer Science University Center of Mila Faculty of Exact Sciences And Computer Science Algeria University of Jijel
LaRIA Laboratory Faculty of Exact Sciences And Computer Science Jijel18000 Algeria
Outsourcing medical data to cloud services became a common solution for healthcare organizations to get rid of millions of distributed small databases. Many solutions combine it with blockchain to enhance data securit...
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In this paper,we propose a variable metric extrapolation proximal iterative hard thresholding(VMEPIHT)method for nonconvex\ell_0-norm sparsity regularization problem which has wide applications in signal and image pro...
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In this paper,we propose a variable metric extrapolation proximal iterative hard thresholding(VMEPIHT)method for nonconvex\ell_0-norm sparsity regularization problem which has wide applications in signal and image processing,machine learning and so *** VMEPIHT method is based on the forward-backward splitting(FBS)method,and variable metric strategy is employed in the extrapolation step to speed up the *** proposed method’s convergence,linear convergence rate and superlinear convergence rate are shown under appropriate ***,we conduct numerical experiments on compressed sensing problem and CT image reconstruction problem to confirm the efficiency of the proposed method,compared with other state-of-the-art methods.
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