نتایج جستجو برای: stability against fluctuations
تعداد نتایج: 907548 فیلتر نتایج به سال:
When a set of servers are available for a certain client-server style service, a client selects one of the servers using some server selection algorithm. The best-server algorithm in which a client selects the best one among the available servers by some metric is widely used for performance. However, when a network fluctuation occurs, the best-server algorithm often causes a sudden shift of th...
The stability of the random field Ising model (RFIM) against spin glass (SC) fluctuations, as investigated by Mézard and Young, is naturally expressed via Legendre transforms, stability being then associated with the non-negativeness of eigenvalues of trie inverse of a generalized SC susceptibility matrix. It is found that the signal for trie occurrence of the SC transition will manifest itself...
The stability of de Sitter metric in spacetimes where inflaton fields are non-minimally coupled to propagating torsion is investigated. It is shown that the de Sitter background metric is unstable against small perturbations. Axionic torsion is generated by inflaton fluctuations and the analysis of cosmological perturbations in Einstein-Cartan-Klein-Gordon (ECKG) equations is undertaken. Instab...
The conditions in which the financial system can continuously provide the necessary services for the proper functioning of the economy is called “financial stability”. In this study, using global experience and Iranian data from 1990 to 2016, an aggregate index of financial stability for Iran has been constructed under the four dimensions of "deposit taker institutions", "macroeconomics", "for...
The stability of the random field Ising model (RFIM) against spin glass (SG) fluctuations, as investigated by Mézard and Young, is naturally expressed via Legendre transforms, stability being then associated with the non-negativeness of eigenvalues of the inverse of a generalized SG susceptibility matrix. It is found that the signal for the occurrence of the SG transition will manifest itself i...
We propose a novel framework for detecting interest points (IPs) in video sequence named StochasticSIFT. The proposed framework incorporates a stochastic model considering temporal dynamics of videos into the SIFT detector to improve robustness against some fluctuations inherently included in video signals. Instead of detecting IPs followed by removing unstable or inconsistent IP candidates, we...
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