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The biodegradability of polycyclic aromatic hydrocarbons such as naphthalene, fluorene, anthracene and phenanthrene by a halotolerant bacterial consortium isolated from marine environment was investigated. The polycyclic aromatic hydrocarbons degrading bacterial consortium was enriched from mixture saline water samples collected from Chennai (Port of(More)
W e introduce a n o p t i m u m algori thm o n Pin Redist r ibu t ion Prob lem ar i sen in Mul t i -Ch ip Modules . T h e prob lem i s t o redistribute t h e p i n s in chip layer t o t h e p i n redis tr ibut ion layers, using minimum n u m b e r of layers . T h e proposed algori thm i s based o n a twostage approach, global rout ing followed by layer(More)
We investigate the role of payoff asymmetry in laboratory prisoner’s dilemma games. Symmetric and Asymmetric games are examined in simultaneous and sequential settings. In the asymmetric/sequential games, we study the impact of having payoff advantaged players moving either first or second. Asymmetry reduces the rates of cooperation in simultaneous games.(More)
In this paper, we propose a novel correlation coefficient based on order statistics and rearrangement inequality. The proposed coefficient represents a compromise between the Pearson's linear coefficient and the two rank-based coefficients, namely Spearman's rho and Kendall's tau. Theoretical derivations show that our coefficient possesses the same basic(More)
Feature recognition is a discipline focusing on the design and implementation of algorithms for detecting manufacturing information such as holes, slots, etc. in a solid model. Automated feature recognition has been an active research area in solid modeling for many years, and is considered to be a critical component for CAD/CAM integration. This paper(More)
In this paper we propose a novel and fast nonlinear association measure based on order statistics and rearrangement inequality. We employ one episode of heart signal, one episode of EEG signal and 1000 white Gaussian noises in our study. Extensive statistical analysis are performed based on one linear model and one nonlinear model. Comparative studies with(More)