template matching is a widely used technique in many of image processing and machine vision applications. in this paper we propose a new as well as a fast and reliable template matching algorithm which is invariant to rotation, scale, translation and brightness (rstb) changes. for this purpose, we adopt the idea of ring projection transform (rpt) of image. in the proposed algorithm, two novel s...

assigning a set of objects to groups such that objects in one group or cluster are more similar to each other than the other clusters’ objects is the main task of clustering analysis. sspco optimization algorithm is anew optimization algorithm that is inspired by the behavior of a type of bird called see-see partridge. one of the things that smart algorithms are applied to solve is the problem ...

apriori algorithm is the most popular algorithm in association rules mining. one of the problems the apriori algorithm is that the user must specify a minimum support threshold. consider that a user wants to implement the apriori algorithm on a database with millions of transactions; users will not have the necessary knowledge about all the transactions in the database and therefore cannot dete...

one of the best applications of automated navigation systems is the use of automatic steering systems in agricultural vehicles. in this research, a machine vision algorithm was designed, based on image acquisition from a camera mounted on front of acombine harvester cab fordetection of its forward path. after filtration and optimization of the image, hough transform was utilized for extracting ...

in this paper, a stochastic cell formation problem is studied using queuing theory framework and considering reliability. since cell formation problem is np-hard, two algorithms based on genetic and modified particle swarm optimization (mpso) algorithms are developed to solve the problem. for generating initial solutions in these algorithms, a new heuristic method is developed, which always cre...

clustering is one of the known techniques in the field of data mining where data with similar properties is within the set of categories. k-means algorithm is one the simplest clustering algorithms which have disadvantages sensitive to initial values of the clusters and converging to the local optimum. in recent years, several algorithms are provided based on evolutionary algorithms for cluster...

the main purpose in this paper, to express strong algorithmic optimization in their ability to detect expression target of sar that use in aircraft, plane and satellites to observe the target on the ground. for this purpose,the sar technology and its applications are introduced. previous algorithms used in this field with poor diagnosis and appropriate speed is low, like means and fuzzy and pso...

one of the significant strategies of the power systems is economic dispatch (ed) problem, which is defined as the optimal generation of power units to produce energy at the lowest cost by fulfilling the demand within several limits. the undeniable impacts of ramp rate limits, valve loading, prohibited operating zone, spinning reserve and multi-fuel option on the economic dispatch of practical p...