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 report we study the effect of an optimizing algorithm for straight–line code which first constructs a directed acyclic graph representing the given program and then generates code from it. We show that this algorithm produces optimal code with respect to the classical transformations such as Constant Folding, Common Subexpression Elimination, and Dead Code Elimination. In contrast to th...

Credit granting businesses face a challenging environment due to the wide variety of customer behaviors. While only some customers use their credit and pay regularly, a larger percentage may hardly use their available credit. As a key risk management issue, small percentages of customers become delinquent in their payments, and others become bankrupt, requiring write-off. As a business decides ...

It is well known that the line search methods play a very important role for optimization problems. In this paper a new line search method is proposed for solving unconstrained optimization. Under weak conditions, this method possesses global convergence and R-linear convergence for nonconvex function and convex function, respectively. Moreover, the given search direction has sufficiently desce...

Fuzzy{logic theory is a valuable tool to structure ad{hoc designs where model{based designs are not suitable or even not available. There exist numerous examples of industry proven fuzzy{logic solutions in the domain of control, pattern recognition and expert systems. The design of fuzzy systems demand a great deal of experience and intuition. Due to the many degrees of freedom in the design of...

Line spectral estimation is the problem of recovering the frequencies and amplitudes of a mixture of a few sinusoids from equispaced samples. However, in a variety of signal processing problems arising in imaging, radar, and localization we do not have access directly to such equispaced samples. Rather we only observe a severely undersampled version of these observations through linear measurem...

The general design problem in serial production lines concerns the allocation of resources such as the number of servers, their service rates, and buffers given production-specific constraints, associated costs, and revenue projections. We describe the design of exPLOre: a modular, objectoriented, production line optimization software architecture. An abstract optimization module can be instant...

Line search method and trust region method are two important classes of techniques for solving optimization problems and have their advantages respectively. In this paper we use the Armijo line search rule in a more accurate way and propose a new line search method for unconstrained optimization problems. Global convergence and convergence rate of the new method are analyzed under mild conditio...

Optimizing parameterized quantum circuits is a key routine in using near-term devices. However, the existing algorithms for such optimization require an excessive number of quantum-measurement shots estimating expectation values observables and repeating many iterations, whose cost has been critical obstacle practical use. We develop efficient alternative algorithm, stochastic gradient line Bay...

A power system operation at minimum cost is no longer the only criterion for electrical power dispatch. Combined economic emission dispatch problem is obtained by considering both the economy and emission objectives with required constraints. This problem can be solving optimization techniques. Many optimization techniques are slow for such complex optimization tasks and are not suitable for on...