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AN INNOVATIVE DEEP SPACE APPLICATION OF GPS TECHNOLOGY FOR FORMATION FLYING SPACECRAFT



INTRODUCTION

Applications of Global Positioning System
(GPS) receivers have proliferated well
beyond the original vision of its system
architects. Receivers are now being built
which can provide absolute measurements
such as translational position, velocity, time,
as well as attitude and attitude rate.
Moreover, technology is emerging which
will make GPS receivers capable of routinely
....etc

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The Deep Web (also called Deepnet, the invisible Web, dark Web or the hidden Web) refers to World Wide Web content that is not part of the Surface Web, which is indexed by standard search engines.

Deep Web resources may be classified into one or more of the following categories:
Dynamic content: dynamic pages which are returned in response to a submitted query or accessed only through a form, especially if open-domain input elements (such as text fields) are used; such fields are hard to navigate without domain knowledge.
Unlinked content: pag ....etc

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applications of deep beam ppt, deep beam ppt, deep beam seminar, seminar on deep beams, ....etc

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Deep beams are structural members loaded as simple beams in which a significant amount of the load is carried to the supports by a compressive force that combines the charge and the reaction. As a result, the strain distribution is no longer considered linear, and the shear deformations become significant in comparison with pure bending.

Horizontal load-bearing floor slabs, short-section beams carrying heavy loads and transfer beams are examples of deep beams. The deep beam is a beam having a large depth / thickness ratio and a depth ratio o ....etc

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Abstract Order-preserving submatrix (OPSM) has been widely accepted as a biologically meaningful cluster model, capturing the general tendency of gene expression across a subset of experiments. In an OPSM, the expression levels of all genes induce the same linear ordering of the experiments. The OPSM problem is to discover those statistically significant OPSMs from a given data matrix. The problem is reducible to a special case of the sequential pattern mining problem, where a pattern and its supporting sequences uniquely specify an OPSM. Unfo ....etc

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