This note outlines how the coupling between the motion of rigid bodies immersed in a fluid and the motion of this fluid is handled in XNS. For a rigid body one has a group of nodes which define the surface of the rigid body called “reference node group” (RNG). For each RNG we save the properties of motion in arrays which in the following we will call “RNG arrays”. They contain the bottom and to...

In this work we demonstrate various weaknesses of the random number generator (RNG) in the OpenSSL cryptographic library. We show how OpenSSL’s RNG, knowingly in a low entropy state, potentially leaks low entropy secrets in its output, which were never intentionally fed to the RNG by client code, thus posing vulnerabilities even when in the given usage scenario the low entropy state is respecte...

A time signal prediction algorithm based on Relative Neighborhood Graph (RNG) localized FIR filters is defined. The RNG connects two nodes, of input space dimension D, if their lune does not contain any other node:. The FIR filters associated with the nodes, are used for local approximation of the training vectors belonging to the lunes formed by the nodes. The predictor training is carried out...

Microsoft attempted to implement theWichmann–Hill RNG in Excel 2003 and failed; it did not just produce numbers between zero andunity, itwould also produce negative numbers. Microsoft issued a patch that allegedly fixed the problem so that the patched Excel 2003 and Excel 2007 now implement the Wichmann–Hill RNG, as least according to Microsoft. We show thatwhatever RNG it is thatMicrosoft has ...

As a general framework to determine a collision-free feedback motion strategies, the Random Neighborhood Graph (RNG) approach [19] defines a global navigation function over an approximate representation of the free configuration. In this paper, we improve the RNG approach in several aspects. We present an ANN-accelerated RNG construction algorithm to achieve near logarithmic running time in eac...