An efficient algorithm for mutual exclusion using queue migration in computer networks

1991 ◽  
Vol 3 (3) ◽  
pp. 380-384 ◽  
Author(s):  
V. Kumar ◽  
J. Place ◽  
G.-C. Yang
Keyword(s):  
Computer Networks ◽  
Efficient Algorithm ◽  
Mutual Exclusion

An optimal algorithm for mutual exclusion in computer networks

1981 ◽  
Vol 24 (1) ◽  
pp. 9-17 ◽  
Author(s):  
Glenn Ricart ◽  
Ashok K. Agrawala
Keyword(s):  
Computer Networks ◽  
Optimal Algorithm ◽  
Mutual Exclusion

A comparison of two mutual-exclusion algorithms for computer networks

1986 ◽  
Vol 6 (1-2) ◽  
pp. 137-145
Author(s):  
Alain Dupuis ◽  
Gérard Hebuterne ◽  
Jean-Marc Pitie
Keyword(s):  
Computer Networks ◽  
Mutual Exclusion

Computational Micrograph Registration with Sieve Processes

1996 ◽  
Vol 54 ◽  
pp. 440-441
Author(s):  
P.J. Phillips ◽  
J. Huang ◽  
S. M. Dunn
Keyword(s):  
Planar Graph ◽  
Efficient Algorithm ◽  
Spatial Organization ◽  
Spatial Arrangement ◽  
Stereo Image ◽  
Image Model ◽  
Geometric Invariants ◽  
Point Set

In this paper we present an efficient algorithm for automatically finding the correspondence between pairs of stereo micrographs, the key step in forming a stereo image. The computation burden in this problem is solving for the optimal mapping and transformation between the two micrographs. In this paper, we present a sieve algorithm for efficiently estimating the transformation and correspondence.In a sieve algorithm, a sequence of stages gradually reduce the number of transformations and correspondences that need to be examined, i.e., the analogy of sieving through the set of mappings with gradually finer meshes until the answer is found. The set of sieves is derived from an image model, here a planar graph that encodes the spatial organization of the features. In the sieve algorithm, the graph represents the spatial arrangement of objects in the image. The algorithm for finding the correspondence restricts its attention to the graph, with the correspondence being found by a combination of graph matchings, point set matching and geometric invariants.

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