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...

the central alborz mountains of northern iran (figure 1) is a zone of intense active continental deformation and is the most heavily populated region of iran, including the mega-city of tehran with a population of over 10 million. the region is affected by numerous active faults, some of them having great seismic potential, and documented historical seismicity. hence, the central alborz is a pr...

The detection of outliers has gained considerable interest in data mining with the realization that outliers can be the key discovery to be made from very large databases. Outliers arise due to various reasons such as mechanical faults, changes in system behavior, fraudulent behavior, human error and instrument error. Indeed, for many applications the discovery of outliers leads to more interes...

Abstract - Use of efficient signal processing tools (SPTs) to extract proper indices for fault detection in induction motors (IMs) is the essential part of any fault recognition procedure. The Part1 of the two parts paper focuses on Fourier-based techniques including fast Fourier transform and short time Fourier transform. In this paper, all utilized SPTs which have been employed for fault fete...

Active deformation in Alborz range is due to N-S convergence between Arabia and Eurasia. This paper provides geomorphic traces of regional deformation in NW Iran in order to characterize active faulting on major faults. Soltanieh and North Zanjan fault systems are involved in convergence boundary extent between South Caspian Basin and Central Iran. Soltanieh and North Zanjan faults are major re...

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...

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 ...

This paper highlights on the techniques used in the HVDC transmission line protection for the faults occurring at various locations. The different techniques deployed for HVDC protection includes Distance Protection technique, Discrete Fourier Transform technique, Artificial Neural Network technique, Fuzzy logic technique, Wavelet Transform technique, Natural Frequency technique, Independent co...

To combine sensor information from distributed robot teams, it is critical to know the locations of all the robots relative to each other. This paper presents a novel fault tolerant localization algorithm developed for centimeterscale robots, called Millibots. To determine their locations, the Millibots measure the distances between themselves with an ultrasonic distance sensor. They then combi...