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Short-circuit currents on distribution circuits in the United States are from more than 20,000 A to values less than 1 A for high-impedance single-phase-to-ground faults. The maximum fault can be controlled by system design. Area EPSs are designed not to exceed the rating of distribution line equipment. Maximum faults are limited by restricting substation transformer size, impedance, or both by installing bus or circuit reactors or inserting reactance or resistance in the transformer neutral. Minimum fault magnitude is largely dependent on fault resistance that cannot be controlled. These faults are the most dangerous and dif cult to detect. Clearing times for short circuits on distribution circuits vary widely and depend on magnitude and the type of protective equipment installed. In general, large current faults will clear in 0.1 second or faster. Low-current faults frequently clear in 5 to 10 seconds or longer, and some very low-level but potentially dangerous ground faults may not clear at all except by manual disconnection of the circuit.

Invariant features provide a good example of static data association, where no prediction is required in order to perform matching. In particular, for SIFT keypoints, matching is carried out simply by comparing the HOGs, so that, in principle, no information about the feature location, rotation, or scale is required. Although the SIFT descriptor is relatively distinctive and robust, if no prediction of pose parameters is available, the nearest-neighbor search will have a combinatorial complexity, even in the presence of a moderate set of points (e.g., around 1000), since all possible pairings must be evaluated; therefore, a more ef cient scheme than exhaustive search must be adopted. In [106] Lowe proposed the best-bin- rst (BBF) approach [37], which consists of an approximate search scheme, returning with high probability, although not 100%, the nearest-neighbor matchings. The BBF approach consists basically of a modi ed search ordering for the better known k-d tree (k-dimensional tree) algorithm [83] such that bins in feature space are searched in the order of their closest distance from the query location. A k-d tree is a space-partitioning data structure for organizing points

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As far as I can tell, keeping erroneous names in a workbook doesn t cause any harm, but it s still a good practice to delete all names that contain an erroneous reference.

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Output back-off (dB) Phase shift (degrees)

This chapter summarizes the various ways you can get your data from Access into Excel. We started with some simple methods appropriate for one time imports and ad hoc analyses. We closed the chapter with an extended discussion of Microsoft Query a useful add-on that provides refreshable data connections, relational database querying functionality, and support of user-defined parameters.

The bits are "encrypted" or else coded by means of a secret sequence the "clue" known exclusively by a reduced number of users. A systematic method for breaking a 200-bits clue would 20 typically require 10 years with today's most powerful processors! Framing/unframing

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