Pronunciation-translated names (P-Names) bring more ambiguities to Chinese word segmentation and generic named entity recognition. As there are few annotated resources that can be used to develop a good P-Name extraction system, this paper presents a bootstrapping algorithm, called PN-Finder, to tackle this problem. Starting from a small set of P-Name characters and context cue-words, the algor...

Sensor models directly influence the efficiency and robustness of the estimation processes used in robot and object localization. Therefore this paper focusses on a probabilistic range finder sensor model for dynamic environments. The dynamic nature results from the presence of unmodeled and possibly moving objects and people. The goal of this paper is twofold. First of al we present experiment...

Abstract We describe an extension of the halo-based galaxy group-finding algorithm. add freedom to algorithm in order more accurately determine which galaxies are central and satellites, provide unbiased estimates halo masses. focus on determination galaxy-halo relations for star-forming quiescent galaxies. The added is self-calibrated using observations color-dependent clustering, as well meas...

As a current reality, students are frequently questioned about suitable career path for the future, but they unaware of jobs offered by industries. Moreover, seeking university admission encounter difficulties selecting courses and educational programs, confronted with variety available courses. This research aims to make mobile application obtain employment options appropriate their qualificat...

An 8-bit programmable square finder cum frequency divider architecture is presented. This special architecture includes a high speed parallel counter, clock trigger circuit, eight bit multiplier logic, sequence termination logic and sequence restarter logic. The entire architecture is divided into two parts: The frequency divider section and the square finder section. The frequency divider circ...

Many crimes can happen every day in a major city, and figuring out which ones are committed by the same individual or group is an important and difficult data mining challenge. To do this, we propose a pattern detection algorithm called Series Finder, that grows a pattern of discovered crimes from within a database, starting from a “seed” of a few crimes. Series Finder incorporates both the com...