Optimal alignment control of a nonpolar molecule through nonresonant multiphoton transitions

2008 ◽  
Vol 129 (19) ◽  
pp. 194103 ◽  
Author(s):  
Kazuyuki Nakagami ◽  
Yoshihiko Mizumoto ◽  
Yukiyoshi Ohtsuki
Keyword(s):  
Optimal Alignment ◽  
Nonpolar Molecule

Optimal alignment of a canal route

2013 ◽  
Vol 166 (8) ◽  
pp. 422-431 ◽  
Author(s):  
Prabhata K. Swamee ◽  
Bhagu R. Chahar
Keyword(s):  
Optimal Alignment

Fast, Optimal Alignment of Three Sequences Using Linear Gap Costs

2000 ◽  
Vol 207 (3) ◽  
pp. 325-336 ◽  
Author(s):  
DAVID R. POWELL ◽  
LLOYD ALLISON ◽  
TREVOR I. DIX
Keyword(s):  
Optimal Alignment

scholarly journals A dynamic alignment algorithm for imperfect speech and transcript

2010 ◽  
Vol 7 (1) ◽  
pp. 75-84 ◽  
Author(s):  
Ye Tao ◽  
Li Xueqing ◽  
Wu Bian
Keyword(s):  
Dynamic Programming ◽  
Boundary Detection ◽  
Multimedia Content ◽  
Alignment Algorithm ◽  
Optimal Alignment ◽  
Multi Stage ◽  
Sentence Level ◽  
Sentence Boundary ◽  
English Training ◽  
Dynamic Alignment

This paper presents a novel alignment approach for imperfect speech and the corresponding transcription. The algorithm gets started with multi-stage sentence boundary detection in audio, followed by a dynamic programming based search, to find the optimal alignment and detect the mismatches at sentence level. Experiments show promising performance, compared to the traditional forced alignment approach. The proposed algorithm has already been applied in preparing multimedia content for an online English training platform.

scholarly journals Using Protein Clusters from Whole Proteomes to Construct and Augment a Dendrogram

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Yunyun Zhou ◽  
Douglas R. Call ◽  
Shira L. Broschat
Keyword(s):  
Open Source Software ◽  
Protein Profile ◽  
Correlation Filter ◽  
New Taxon ◽  
Optimal Alignment ◽  
Gram Negative ◽  
Protein Clusters ◽  
Bacterial Plasmids ◽  
Insertion Algorithm ◽  
Ab Initio Approach

In this paper we present a new ab initio approach for constructing an unrooted dendrogram using protein clusters, an approach that has the potential for estimating relationships among several thousands of species based on their putative proteomes. We employ an open-source software program called pClust that was developed for use in metagenomic studies. Sequence alignment is performed by pClust using the Smith-Waterman algorithm, which is known to give optimal alignment and, hence, greater accuracy than BLAST-based methods. Protein clusters generated by pClust are used to create protein profiles for each species in the dendrogram, these profiles forming a correlation filter library for use with a new taxon. To augment the dendrogram with a new taxon, a protein profile for the taxon is created using BLASTp, and this new taxon is placed into a position within the dendrogram corresponding to the highest correlation with profiles in the correlation filter library. This work was initiated because of our interest in plasmids, and each step is illustrated using proteomes from Gram-negative bacterial plasmids. Proteomes for 527 plasmids were used to generate the dendrogram, and to demonstrate the utility of the insertion algorithm twelve recently sequenced pAKD plasmids were used to augment the dendrogram.

Optimal Alignment of 3D Data for Spatial Discretization

2011 ◽  
Author(s):  
Benjamin Huhle ◽  
Timo Schairer ◽  
Andreas Schilling ◽  
Wolfgang Straßer
Keyword(s):  
Optimal Alignment ◽  
Spatial Discretization ◽  
3D Data

Finding Optimal Alignment and Consensus of Circular Strings

2010 ◽  
pp. 310-322 ◽  
Author(s):  
Taehyung Lee ◽  
Joong Chae Na ◽  
Heejin Park ◽  
Kunsoo Park ◽  
Jeong Seop Sim
Keyword(s):  
Optimal Alignment

Optimal Unbalance Response of Continuous Rotors

1995 ◽  
Author(s):  
Zdzislaw A. Parszewski ◽  
Dong-Xu Li
Keyword(s):  
System Dynamics ◽  
Industrial Application ◽  
Optimal Alignment ◽  
Bending Moments ◽  
Power Station ◽  
Laboratory Installation ◽  
Modal Approach ◽  
Unbalance Response ◽  
Non Linear ◽  
Independent Parameters

Abstract Dynamically optimal alignment of multi-bearing rotors has become one of the principal applications of the system dynamics in its configuration or layout parameters, (Parszewski, 1987). Using non-linear bearing effects and the independent parameters provided by their statical indeterminacy, the alignment of multi-bearing rotors has been optimised for least unbalance response. The rotor unbalance was estimated with the complex modal approach, using measured unbalance response. Some computed results and experiments on a four-bearing laboratory installation were presented in (Parszewski and Li, 1989). This present paper expands the analysis and provides an industrial application of the theory to a turbogenerator, operating in a power station. Comparison with the conventional catenary alignment is also given and shearing forces and bending moments on the couplings are revealed for both cases, showing the advantages of the optimal alignment of the rotor as a continuous shaft.

scholarly journals Towards optimal alignment of protein structure distance matrices

2010 ◽  
Vol 26 (18) ◽  
pp. 2273-2280 ◽  
Author(s):  
Inken Wohlers ◽  
Francisco S. Domingues ◽  
Gunnar W. Klau
Keyword(s):  
Protein Structure ◽  
Optimal Alignment ◽  
Distance Matrices
Sign in / Sign up

Export Citation Format

Share Document