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...

ground settlement due to the shallow tunneling in urban areas can have considerable implications for aboveground civilinfrastructures. engineering geological characteristics of the tunnel host ground including geotechnical parameters of surrounding soil,groundwater situation, and in situ stress condition are amongst the most important factors affecting settlement. in this research, groundsettle...

Recent years have witnessed the rapid development of image storage and transmission systems, in which compression plays an important role. Generally speaking, algorithms are developed to ensure good visual quality at limited bit rates. However, due different optimization methods, compressed images may levels quality, needs be evaluated quantificationally. Nowadays, mainstream full-reference (FR...

The quest to improve performance forces designers to explore finer-grained multiprocessor machines. Ever increasing chip densities based on CMOS improvements fuel research in highly parallel chip multiprocessors with 100s of processing elements. With such increasing levels of parallelism, synchronization is set to become a major performance bottleneck and efficient support for synchronization a...

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...

In this paper we present a Deep Neural Network architecture for the task of acoustic scene classification which harnesses information from increasing temporal resolutions of Mel-Spectrogram segments. This architecture is composed of separated parallel Convolutional Neural Networks which learn spectral and temporal representations for each input resolution. The resolutions are chosen to cover fi...

Databases are increasingly being used to store information covered by heterogeneous policies, which require support for access control with great flexibility. This has led to increasing interest in using fine-grained access control, where different cells in a relation may be governed by different access control rules. Although several proposals have been made to support fine-grained access cont...

An experimental system called SoundView has been developed, which allows the exploration of a color image through touch and hearing. The image is mapped onto a virtual surface with a fine-grained color dependent roughness texture. The user explores the image by moving a pointer device over the image. The pointer acts like a virtual gramophone needle, and the sound produced depends on the motion...