We present a novel variational formulation of discrete deformable registration as the minimization of a convex energy functional that involves diffusion regularization. We show that a finite difference solution (FD) of the variational formulation is equivalent to a continuous-valued Gaussian Markov random field (MRF) energy minimization formulation previously proposed as the random walker defor...

In this paper, we provide a polynomial-time tree pattern query minimization algorithm whose efficiency stems from two key observations: (i) Inherent redundant “components” usually exist inside the rudimentary query provided by the user. (ii) Irredundant nodes may become redundant when constraints such as co-occurrence and required child/descendant are given. We show the result that the algorith...

An Energy Management system for fuel cell/battery vehicles manages and controls the consumption affects lifetime of powertrain system. This paper proposes a new System that is based on multi-objective online optimization technique. The proposed objective to minimize cost function composed four terms: actual consumption, two terms representing stresses lifetimes components (the cell battery), fo...

We study Spectral Measures of Risk from the perspective of portfolio optimization. We derive exact results which extend to general Spectral MeasuresMφ the Pflug—Rockafellar—Uryasev methodology for the minimization of α—Expected Shortfall. The minimization problem of a spectral measure is shown to be equivalent to the minimization of a suitable function which contains additional parameters, but ...

We examine the NFA minimization problem in terms of atomic NFA’s, that is, NFA’s in which the right language of every state is a union of atoms, where the atoms of a regular language are non-empty intersections of complemented and uncomplemented left quotients of the language. We characterize all reduced atomic NFA’s of a given language, that is, those NFA’s that have no equivalent states. Usin...

The paper presents a genetic algorithm based design approach of the robotic arm trajectory control with the optimization of various criterions. The described methodology is based on the inverse kinematics problem and it additionally considers the minimization of the operating-time, and/or the minimization of energy consumption as well as the minimization of the sum of all rotation changes durin...

This paper presents a gate sizing method which formulates minimum active area solutions under delay constraints. It is based on the logical effort delay model. Such minimization of transistor widths has direct impact on the power consumption and circuit area reduction. The explicit formulation of the method takes into account the maximum input capacitance, the output load to be driven, and the ...

The purpose of this paper is multi-objective optimization of refrigeration cycle by optimization of all components of the cycle contains heat exchangers, air condenser, evaporator and super-heater. Studied refrigeration cycle is compression refrigeration cycle of unit 132 Third refineries in south pars that provide chilled water for cooling refinery equipment's. Cycle will be performed by t...

This paper gives an overview of technology parameters influencing static and dynamic power consumption in modern arithmetic circuits. Also, some techniques for power minimization are presented. As an example, this paper presents the results of power consumption of binary dividers implemented in FPGAs with various technological properties.