Abstract: The present invention relates to a polybutylene terephthalate composition, comprising (A) 40 to 99.8% by weight of polybutylene terephthalate, (B) 0.2 to 10% by weight of at least one conductive filler selected from the group consisting of carbon nanotubes, carbon nanostructures, and a combination thereof, and (C) 0 to 50% by weight of glass fiber, each being based on the total weight of the poly butylene terephthalate composition, wherein the carbon nanostructures each comprise a plurality of carbon nanotubes which are branched, crosslinked, and/or sharing common walls with one another. The present invention also relates to an EMI shielding article produced from the polybutylene terephthalate composition.

Abstract: Methods, systems, and computer-readable storage media for a machine learning (ML) system for matching a query entity to one or more target entities, the ML system that reducing a number of query-target entity pairs from consideration as potential matches during inference.

Abstract: Apparatus for positioning and method for the same are disclosed. The apparatus comprises two transceivers and four time-to-digital converters. The time-to-digital converters compare the phase difference between two signals, one is the crystal oscillation and the other is the phase of the IF (intermediate frequency) signal extracted before ADC receiving by the transceiver. The method comprises the following steps: The first place transmits a first wireless signal by a first transceiver to the second place. The second place then responds a second wireless signal by a second transceiver to the first place. The first phase difference at the first place is then measured by the time-to-digital converter. The second phase difference at the second place is also measured. The distance between the first place and the second place is proportional to one half of the sum of first phase difference and the second phase difference.