this paper presents a new mathematical model for a redundancyallocation problem (rap) withcold-standby redundancy strategy and multiple component choices.the applications of the proposed model arecommon in electrical power, transformation,telecommunication systems,etc.manystudies have concentrated onone type of time-to-failure, butin thispaper, two components of time-to-failures which follow hy...

We introduce a non-linear injective transformation T from the set of non-vanishing normalized Hausdorff moment sequences to the set of normalized Stieltjes moment sequences by the formula T [(an)]n = 1/(a1 · . . . · an). Special cases of this transformation have appeared in various papers on exponential functionals of Lévy processes, partly motivated by mathematical finance. We give several exa...

-Mathematical Morphology provides systematic approach to analyze geometric Characteristic of signal or images, has been applied to many application such as Edge Detection, Object segmentation, noise suppression. Image segmentation is one of the most important categories of image processing. The watersheds transformation for image segmentation using mathematical morphology is widely used. When w...

Hill cipher is developed using simple linear transformation. It is vulnerable to known-plaintext attack and there exist several methods in the direction of linear transformation to overcome the problems. HCM-EE is an improved method using Eigen value but it is linear and too many mathematical operations. In this study an attempt has been made to introduce nonlinearity to the linear transformati...

The Unified Modeling Language (UML) is widely used in the software development process for specification of system based on the object-oriented paradigm. Thought the current version of UML is semi-formal, it is difficult to determine whether the model is consistent, unambiguous, or complete. This paper proposes the transformation rules for formalizing UML statechart diagrams. The target languag...

This paper deals with center of sum defuzzification method via a computationally attractive method, called transformation function method. A technique for deriving the transformation functions for output fuzzy sets with trapezoidal membership functions has been introduced. It is shown that this method enormously reduces number of mathematical operations and amount of memory space required to co...

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