We formulate concepts that characterize network properties in the presence of high-frequency faults, and we present CPV, a path-vector routing protocol that locally contains high-frequency faults and locally stabilizes. Local containment enables CPV to guarantee that distant nodes be unaffected by faults. Local stabilization enables CPV to stabilize the network within time depending only on the...

seismic coherency is a measure of lateral changes in acoustic impedance that are caused by variations in structure, stratigraphy, lithology, porosity, and fluid content. seismic coherency is a geometrical attribute that establishes temporal and lateral relationships with other attributes. seismic coherency can be defined by coherency attributes. when coherency attributes are applied to seismic ...

This work presents the most detailed and extensive theoretical study to date of the structural configurations of Ruddlesden–Popper (RP) phases in antiferrodistortive (AFD) perovskites and formulates a program of study which can be pursued for RP phases of any AFD perovskite system. We systematically investigate the effects of oxygen octahedral rotations on the energies of RP phases in AFD perov...

Owing to the large magnitude of inrush currents, functionality differential protection power transformer may be threatened in correct discrimination between and internal faults. This article enhances through a computationally efficient method that utilizes phase angle current signals transformers (CTs). The proposed criterion (PDC) tracks fundamental CTs. While during an fault, angles both CTs ...

the sofeh mountain in the south of isfahan (iran) has a development of shafts (vertical cave). simorgh cave with a depth of 42 m and a length of 52 m has developed along significant fault structures. structural analysis indicates relationships of orientation between the faults and fractures and shafts and chambers geometries. considering the main ne-sw trend of tectonic structures in the area, ...

Changes in the physicochemical conditions of process unit, even under control, may lead to what are generically referred to as faults. The cognition of causes is very important, because the system can be diagnosed and fault tolerated. In this article, we discuss and propose an artificial neural network that can detect the incipient and gradual faults either individually or mutually. The mai...

This paper presents a novel algorithm for statistical behavioral modeling, based on two statistical techniques: mutual information and Bootstrap. In contrast to Euclidean distance calculations, clustering faults by measuring the mutual information (entropy) between two fault populations is more efficient and robust. Employing the bootstrap technique results in a significant reduction of expensi...