Entity Recognition (ER) is a key component of relation extraction systems and many other natural-language processing applications. Unfortunately, most ER are restricted to produce labels from small set entity classes, e.g., person, organization, location or miscellaneous. In order intelligently understand text extract wide range information, it useful more precisely determine the semantic class...

Various methods can be used to numerically simulate the aerodynamic separation of fine-grained bulk material, including discrete element methods, finite and bounded domain methods. In all these equations are solved numerically, results determine trajectories velocities air particles. The Discrete Element Method (DEM), on basis which study will conducted, is designed for modeling granular flow m...

Current crowd counting algorithms are only concerned about the number of people in an image, which lacks low-level fine-grained information crowd. For many practical applications, total image is not as useful each sub-category. example, knowing waiting inline or browsing can help retail stores; standing/sitting restaurants/cafeterias; violent/non-violent police management. In this article, we p...

In this paper, results of an investigation on the strain hardening responses of superalloy MP35N with two average grain sizes of 38 and 1 μm, during room temperature tensile testing are reported. The microstructural evolution of the deformed samples was studied using optical and transmission electron microscopy (TEM) techniques. The strain hardening behavior of the 38 μm material was rather sim...

one and two dimensional contaminant transport by pure diffusion through single layer of fine grained soil was investigated using one and two dimensional laboratory models. these models simulates a simple hydrogeologic situation underneath a solid waste landfill comprising a fine grained soil overlying a bed rock. sodium chloride solution was sued as a contaminant source above a compacted clayey...