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...

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...

Fine-grained categorization of object classes is receiving increased attention, since it promises to automate classification tasks that are difficult even for humans, such as the distinction between different animal species. In this paper, we consider fine-grained categorization for a different reason: following the intuition that fine-grained categories encode metric information, we aim to gen...

compressibility characteristics of fine-grained soils are often the most important parameters for settlement evaluation of the founded layers. the compression index which is the slope of virgin curve is usually for determination of settlement potential of fine grained soils. in this research, the effects of different physical and index properties of soil samples were investigated on compression...

liquefaction is one of the most important and complex topics in geotechnical earthquake engineering. in recent years, passive site stabilization method has been proposed for non-disruptive mitigation of liquefaction risk at developed sites susceptible to liquefaction using colloidal nano-silica stabilizer. in this research, 4 box models were used to investigate the ability to uniformly deliver ...

For many applications of scientific computing, reduction operations may cause a performance bottleneck. In this article, the performance of different coarseand fine-grained methods for implementing the reduction is investigated. Fine-grained reductions using atomic operations or fine-grained explicit locks are compared to the coarse-grained reduction operations supplied by OpenMP and MPI. The r...

Dependency parsing is a way of syntactic parsing and a natural language that automatically analyzes the dependency structure of sentences, and the input for each sentence creates a dependency graph. Part-Of-Speech (POS) tagging is a prerequisite for dependency parsing. Generally, dependency parsers do the POS tagging task along with dependency parsing in a pipeline mode. Unfortunately, in pipel...

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