نتایج جستجو برای: structural decomposition
تعداد نتایج: 489441 فیلتر نتایج به سال:
Structural domains are considered as the basic units of protein folding, evolution, function and design. Automatic decomposition of protein structures into structural domains, though after many years of investigation, remains a challenging and unsolved problem. Manual inspection still plays a key role in domain decomposition of a protein structure. We have previously developed a computer progra...
We present a mathematical and computational feasibility study of the variational convex decomposition of 2D vector fields into coherent structures and additively superposed flow textures. Such decompositions are of interest for the analysis of image sequences in experimental fluid dynamics and for highly non-rigid image flows in computer vision. Our work extends current research on image decomp...
Wavelet Packet Decomposition for the Identification of Corrosion Type from Acoustic Emission Signals
Corrosion causes a degradation of the structural integrity of petrochemical plants, nuclear power plants, ships, bridges and other constructions containing steel with the 29 consequence that people and the environment may be exposed to dangerous situations. The detection of corrosion and the prediction of the type of corrosion are studied in this 31 article by means of the acoustic emission tec...
Standard latent variable analysis in structural state space models decomposes variables into contributions of shocks (shock decomposition), or the observable (data decomposition). We propose to link shock decomposition and data what we call double decomposition. This allows us better gauge influence on by taking account transmission mechanism each type shock. show usefulness analyzing role esti...
Abstract A trivial case in input–output structural decomposition analysis is a of product variables, or factors, where one factor an inverse—typically, Leontief inverse—of sum other factors. There may be dozens and hundreds such factors that describe the changes subsets technical coefficients. The existing literature offers ambiguous guidance this case. solution consistent with index number the...
A new decomposition method for structural analysis of polysiloxanes (silicones) was developed using methyl orthoformate. The siloxane bonds in samples with vinyl and/or methyl side groups decomposed under relatively mild acidic conditions up to around 70°C and were followed by methoxylation at the cleaved linkages with few side reactions. The product yields with respect to the siloxane monomer ...
Currently, it is possible to modify (say, hourly) the topology of a data communications network by adding or deleting network links and/or by increasing or decreasing bandwidth on existing links in response to changing traffic loads and/or projected network conditions. The intent of this paper is to study a Markov decision process (MDP) model of the dynamic topology problem (DTP), the problem o...
Many AI tasks can be formalized as constraint satisfaction problems (CSPs), which involve finding values for variables subject to constraints. 'vfrhile solving a CSP is an NP-coiapktte task in geneid, tractable classes of CSPs have been identified based on the structure of the underlying constraint graphs. Much effort has been spent on exploiting structural properties of the constraint graph to...
When using domain decomposition methods without overlapping, one can focus on displacements, such as primal approaches, [11] . . . , or on efforts, such as dual approaches, [6]. Since the latin approach used herein allows interfaces to play a major role, both displacements and efforts are the unknowns; it is a “mixed” approach. A general drawback with domain decomposition methods is the decreas...
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