Title
TOPSAW Sawing Optimization Analysis Using Grid Computing
Abstract
TOPSAW program has been developed and successfully used in the replication of sawmill cutting to determine the optimal cutting pattern for a log to get the maximum value for lumber in terms of dollars based on National Hardwood Lumber Association grading rules. Currently Live sawing, which is one direction sawing, can be simulated for only one rotational orientation and one depth of opening cut using a single workstation. The optimal rotational orientation and depth of the opening cut significantly affects the value of lumber produced. The optimal rotational orientation and the opening position outperformed the mean of 432 possible combinations by 14.7 percent. However the computational time involved in simulation of all the 24 different log orientations and 18 different ways to choose the opening depth for a log proves costly and is not effective for sawmill industry. In order to cut the simulation time we collaborate the TOPSAW and Grid Computing technology to leverage this sawing optimization. In this paper we propose a problem solving environment which makes TOPSAW Grid- enabled. The applicability of this solution is shown by a case study.
Year
DOI
Venue
2007
10.1109/IMSCCS.2007.92
IMSCCS
Keywords
Field
DocType
grid computing,cutting
Problem solving environment,Computer vision,Grid computing,Image texture,Computer science,Filter (signal processing),Workstation,Image segmentation,Adaptive filter,Artificial intelligence,Grid
Conference
ISBN
Citations 
PageRank 
0-7695-3039-7
0
0.34
References 
Authors
4
6
Name
Order
Citations
PageRank
Ashwin Bommathanahalli110.71
Maoyuan Xie231.11
Zhifeng Yun3916.95
Sun Joseph Chang410.71
Zhou Lei5175.15
Gabrielle Allen6839116.72