The quality and life of pavement is greatly affected by the type of sub-grade, sub base and base course materials. The most important of these are the type and quality of sub-grade soil. But in India most of the flexible pavements are need to be constructed over weak and problematic sub-grade. The California bearing ratio (CBR) of these sub-grade have very low, it needs to more thickness of pav...

Methods to improve bearing capacity of footing resting of collapsing soil can, in fact, take two approaches, improving soil strength properties and intrusion of reinforcing sorces into soil. The footing is modeled by a square steel plate 0.1 by 0.1 m. The footing is loaded as to have a stress of 40 kPa and settlement is receded in dry and in soaking conditions. Two depths of the geo-mesh reinfo...

The Global Earth Observation (GEO) Grid infrastructure is an E-Science infrastructure which enables global research activity and drives geosciences to get a significant discovery or achievement in their fields. The main design principal of the GEO Grid system is the open and standard protocol-based architecture. It supports creation of a virtual organization (VO) by integrating data and computi...

After the setup of spatial data infrastructure (SDI) and national information infrastructure (NII) in many countries geo-services become one of the most important and attractive tasks. With the integration of GPS, GIS and Remote Sensing (RS) we can principally answer any geo-spatial related question: when and where what object has which changes? An intelligent Geo-service agent would provide th...

The “GEO (Global Earth Observation) Grid” is aiming at providing an E-Infrastructure to understand our Earth more insightful and more precisely, but faster and easier to worldwide Earth Sciences community. On the E-Infrastructure we are able to share data, application programs, and scientific workflows without knowing deep knowledge in IT where the grid technology is provisioned. GEO Grid provi...

An Integrated Earth Sensing demands seamless access to large-scale geospatial data gathered by remote sensing and in-situ sensor network deployments. To that end, the Global Earth Observation (GEO) Grid provides a framework for sharing a wide array of scientific information such as satellite data, geologic maps, and insitu sensing data in a standards-compliant manner. In this paper, we describe...

In this paper we propose an efficient offline job scheduling algorithm working in a grid environment that is based on a relatively new evolutionary metaheuristic called generalized extremal optimization (GEO). We compare our experimental results with those obtained using a very popular evolutionary metaheuristic, the genetic algorithm (GA). The scheduling algorithm implies two-stage scheduling....

This paper presents a new remotely sensed solution for monitoring the recovery of a large disaster-affected area. It exploits the powerful data grid and computing grid technologies developed on GEO (Global Earth Observation) Grid system. Accessing the ASTER portal site of GEO Grid, all the necessary ASTER multi-spectral images and on-demand ASTER digital elevation model (DEM) are easily and qui...

Grid computing seeks to aggregate computing resources within an enterprise and leverage on resources you don’t own for compute-intensive applications. Geo-rectification is a process for correcting spatial location and orientation of a satellite image. This paper focuses on the parallelization of the computeintensive satellite image geo-rectification problem on a cluster grid. We discuss our app...