نتایج جستجو برای: geo grid reinforcement
تعداد نتایج: 139042 فیلتر نتایج به سال:
This technical note describes a method for the rediscretisation of “gridded” geo-scientific data. A recursive algorithm (NREGRID) is derived to solve the rediscretisation problem for orthogonal grids (including curvilinear) of arbitrary dimension. The algorithm is used within the program NCREGRID to handle geo-scientific data. These data are typically 2-dimensional (latitude-longitude grid), or...
Based on the service specifications of the Open Geospatial Consortium (OGC), Spatial Data Infrastructures (SDI) support the visualization, access to vector and raster data or managing and search for spatial data. A standard for distributed spatial data processing was missing for a long time. This issue was addressed by the development of the OpenGIS Web Processing Service (WPS) specification. H...
Reinforcement using an interlayer system has been demonstrated for more than four decades as a multi-purpose solution to improve performance, to extend service life and thus to reduce maintenance costs of road pavements. Among a large number of existing interlayer systems, glass fiber grids have shown effective use in pavement reinforcement with a hot mix asphalt overlay. Recently they have rec...
the aim of this study was to identify various sulfidic mineralized zones in the ghare-tappeh cu deposit (nw iran) based on geo-electrical data including induced polarization (ip) and resistivity (rs) using the concentration-volume (c-v) and number-size (n-s) fractal models. the fractal models were used to separate high and moderate sulfidic zones from low sulfidic zones and barren wall rocks. b...
Multi-ribbed frame grid (hereinafter referred to as MRFG) is an important part of Multi-ribbed composite wall and consisted of outer frame and ribbed grid. The reinforcement of outer frame is the main influence factor on the performance of MRFG. In this study, an MRFG specimen under laterally cyclic and axial loading in literature is numerically simulated with 5 kinds of different reinforcement...
Geo-spatial data with geographical information explodes as the development of GPS-devices. The data contains certain patterns of users. To dig out the patterns behind the data efficiently, a grid-growing clustering algorithm is introduced. The proposed algorithm takes use of a grid structure, and a novel clustering operation is presented, which considers a grid growing method on the grid struct...
We developed an on-demand processing service on the GEO Grid system to generate Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) Digital Elevation Model (DEM) and ortho-rectified images. The latest algorithms of radiometric and atmospheric corrections are also supported on this system (Sekiguchi et al., 2008). We implemented the MODTRAN3.7-based atmospheric correction for ...
In this paper we consider grid connected solar micro-grid system which contains a consumer, a solar photovoltaic system and a battery. The consumer is considered as an agent who continuously interacts with the environment and learns to take best actions. Initially Multi Agent System is implemented for effective energy management of solar micro-grid. Then reinforcement learning is imparted to th...
The aim of this study was to identify various sulfidic mineralized zones in the Ghare-Tappeh Cu deposit (NW Iran) based on geo-electrical data including induced polarization (IP) and resistivity (RS) using the concentration-volume (C-V) and number-size (N-S) fractal models. The fractal models were used to separate high and moderate sulfidic zones from low sulfidic zones and barren wall rocks. B...
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