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Missing, swapping, false insurance claims and reallocation of pet animals (dog) are global problems throughout the world and research done to solve this problem is minimal. Traditional biometrics and non-biometrics methods have their own boundaries and they fail to provide competent level of security to pet animal (dog). The work on animal identification based on their phenotype appearance (coat patterns) has been an active research area in recent years and automatic face recognition for dog is not reported in the literature. Dog identification needs innovative research to protect the pet animal. Therefore it is imperative to initiate research, so that future face recognition algorithm will be able to solve this important problem for identification of pet animal (like dog, cat). In this paper an attempt has been made to minimize the above mentioned problems by biometrics face recognition of dog. The contributions of this research are: 1) implementation of an existing biometrics algorithm which mitigates the effects of covariates for dogs; 2) proposed fusion based method for recognition of pet animal with 94.86% accuracy. Thus in this paper, we have tried to demonstrate that face recognition of dog can be used to recognize the dog efficiently.
In this article, following Bizare and Amriteimoori  and B. Parsad and R. Sahni , we modify Ishikawa, Agarwal et al., Noor, SP iterative schemes and compare the rate of convergence of Ishikawa, Agarwal et al., Noor, SP and new modified Ishikawa, Agarwal et al., Noor, SP iterative schemes not only for particular fixed value of an,bn,rn but also for varying the value of an,bn,rn. With the help of two numerical examples, we compare the converging step.
In this paper, we
investigate the reliability analysis of a powerloom plant by using interval
valued intuitionistic fuzzy sets (IVIFS). Herein, we modeled a powerloom plant
as a gracefully degradable system having two units A(n) and B(m)
connected in series. The reliability ofncomponents of unitAandmcomponents of unitBis assumed to be an IVIFS defined over
the universe of discourse [0, 1]. Thus, the reliability of the system obtained
is an IVIFS that covers the inherited uncertainty in data collection and
reliability evaluation of a powerloom plant.
In this article, we would like to find the laws of electrodynamics
in simple economic systems. We identify the chief economic variables and
parameters, scalar and vector. We find laws of economics interms of these
variables and parameters. The laws are similar in form to the laws of symmetric
electrodynamics. Moreover, we obtain Phillp’s curve, recession, Black-Scholes
formula, Supply-Demand line and Cobb-Douglas production function as sample