Although many algorithms have been developed so far for structure alignment problem based on either distancebased methods or vector-based methods, such as iterative dynamical programming, Monte Carlo simulation, graph theory, and mean field equations, only a few methods are published for multiple structure alignment, such as progressive structure alignment and Monte Carlo optimization. In this ...

One of the most important factors that affects construction costs of highways is the earthwork cost. On the other hand, the earthwork cost strongly depends on the design of vertical alignment or project line. In this study, at first, the problem of vertical alignment optimization was formulated. To this end, station, elevation and vertical curve length in case of each point of vertical intersec...

Unsupervised text-graph alignment (UTGA) is a fundamental task that bidirectionally generates texts and graphs without parallel data. Most available models of UTGA suffer from information asymmetry, common phenomenon include additional invisible to each other. On the one hand, these fail supplement asymmetric effectively due lack ground truths. other it challenging indicate with explicit indica...

MOTIVATION Recently, the concept of the constrained sequence alignment was proposed to incorporate the knowledge of biologists about structures/functionalities/consensuses of their datasets into sequence alignment such that the user-specified residues/nucleotides are aligned together in the computed alignment. The currently developed programs use the so-called progressive approach to efficientl...

We have analysed 53 square degrees of RC -band imaging data from the Red-Sequence Cluster Survey (RCS), and measured the excess correlations in the shapes of galaxies on scales out to ∼ 1.5 degrees. We separate the signal into an “E”(lensing) and “B”-mode (systematics), which allows us to study residual systematics. On scales larger than 10 arcminutes, we find no “B”-mode, suggesting that the s...