Temperature and hydrostatic pressure are essential in determining the assemblage of species in their specific biotopes. To evaluate the effect of high pressure on the range of viability of thermophiles, the pressure and temperature dependence of the growth of the methanogenic archaebacterium Methanococcus thermolithotrophicus was investigated. High pressure up to 50 MPa enhanced the growth rate...

Optimizing threshold value of wavelet coefficient is an important task in speckle noise reduction in the wavelet domain. Without proper selection of threshold value image information may be lost, which is unwanted. In this paper we proposed optimum threshold parameter using Fisher Discriminant Analysis (FDA) for determining the optimum threshold value of wavelet coefficient for the best speckle...

In this chapter I show that elementary math models reveal powerful insights that can help understand better design and management decisions in facility logistics operations. Subsequently I develop models for designing a truckoperated unit-load warehouse (sizing it, calculating the load orientation, and determining the warehouse lengthwidth ratio). Next the optimal stacking depth is calculated a...

Future sea surface salinity missions will require Lband radiometers to have calibration stabilities of ≤ 0.05 K over 2 days. This research program has focused on determining the optimum radiometer requirements and configuration to achieve this objective. System configuration and component performance have been evaluated with radiometer test beds at both JPL and GSFC. The GSFC testbed uses a cry...

The automatic binarization of grey level images or the automatic determination of optimum threshold value that separates objects from their background is still a difficult and challenging problem in many applications in the area of digital image processing. A new algorithm is proposed for the optimum automatic thresholding of digital images. The algorithm is based on determining the best thresh...

In cloud computing tasks scheduling problem is NP-hard, furthermore it does onerous for attaining an optimum resolution. Extremely quick optimization algorithms are used to proximate the optimum resolution, like ACO (ant colony optimization) algorithm. In cloud computing, in consideration to solve the problem of task scheduling, a period ACO (PACO)-based arranging algorithmic rule has been used...

In this manuscript, we discuss the problem of determining the optimum stratification of a study (or main) variable based on the auxiliary variable that follows a uniform distribution. If the stratification of survey variable is made using the auxiliary variable it may lead to substantial gains in precision of the estimates. This problem is formulated as a Nonlinear Programming Problem (NLPP), w...

A. NONLINEAR MAP INTERVAL ESTIMATION We shall consider two problems related to the equations specifying the nonlinear interval estimator. In the first part, we shall discuss a method for solving these equations which involves the optimum nonlinear realizable filter. In the second part, we shall present a technique for determining the optimum nonlinear realizable filter from the equations specif...