We review non-conformal domain decomposition methods (DDMs) and their applications in solving electrically large and multi-scale electromagnetic (EM) radiation and scattering problems. In particular, a finite-element DDM, together with a finite-element tearing and interconnecting (FETI)-like algorithm, incorporating Robin transmission conditions and an edge corner penalty term, are discussed in...

Non-welded interfaces can be treated as a displacement discontinuity characterized by elastic stiffnesses. Applying this boundary condition to a generalized Rayleigh wave, it is shown that a fast and a slow dispersive wave can propagate along the fracture, even when the seismic properties of the rock on each side are identical.

This paper considers some permutation flow shop scheduling problems with a learning effect on no-idle dominant machines. The objective is to minimize maximum completion time. This objective is considered under following dominant machines constraint: idm, ddm, idm–ddm and ddm–idm. We present a polynomial-time solution algorithm for each of the above cases. 2006 Elsevier Inc. All rights reserved.

11-Deoxy-16,16-dimethyl PGE(2) (DDM-PGE(2)) protects renal proximal tubule epithelial cells (LLC-PK(1)) against the toxicity induced by 2,3,5-tris(glutathion-S-yl)hydroquinone (TGHQ), a potent nephrotoxic and nephrocarcinogenic metabolite of hydroquinone. We have now determined the ability of DDM-PGE(2) to protect against other renal toxicants and report that DDM-PGE(2) only protects against on...

In the Runtime Infrastructure (RTI) of High Level Architecture (HLA), the purpose of Data Distribution Management (DDM) services is to reduce the amount of irrelevant data sent (communicated) between federates (simulations) and cut network communication cost. The current DDM schemes employed in RTI, i.e. region-based DDM and grid-based DDM, are both oriented to send as little irrelevant data to...

Distributed data mining (DDM) which often utilizes autonomous agents is a process to extract globally interesting associations, classifiers, clusters, and other patterns from distributed data. As datasets double in size every year, moving the data repeatedly to distant CPUs brings about high communication cost. In this paper, data cloud is utilized to implement DDM in order to move the data rat...

Driving Decision-making Mechanism (DDM) is identified as the key technology to ensure the driving safety of autonomous vehicle, which is mainly influenced by vehicle states and road conditions. However, previous studies have seldom considered road conditions and their coupled effects on driving decisions. Therefore, road conditions are introduced into DDM in this paper, and are based on a Suppo...