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The need of power management tends towards a quest to design simpler, energy efficient, optimized and flexible modelling techniques which itself are less power consuming and need less memory to fulfil the requirement of wireless sensor network environment.
In this paper, we propose a design for an economically efficient, optimized, centralized, multi-lateral, periodic commodity market that addresses explicitly three issues: (i) substantial transportation costs between sellers and buyers; (ii) non-homogeneous, in quality and nature, commodities; (iii) complementary commodities that have to be traded simultaneously.
These include, as discussed before, the use of highly efficient optimized PCR conditions and the performance of a high number of non-template control (NTC) reactions, i.e., negative controls without sample.
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An efficient optimizing algorithm, which makes a non-diagnosable system diagnosable, is also proposed in the paper by expanding the minimal observable space with operation on just a part of the DES model.
We present here a simple and efficient method, optimized for the particular need of ELCI.
The particular structure of this linear system allows us to construct a set of highly efficient schemes optimized for different precision requirements and time intervals.
The current application of the Taguchi statistical optimization was highly efficient in optimizing of experimental variables which are effective in HMX particle size produced by the SAS technique.
Their results showed that the approach was computationally and practically efficient in optimizing the injection/production rates in a waterflooding project.
It was shown that experimental design was efficient for optimizing the NOx reduction and this systematic approach enabled important conclusions to be drawn about the system performance.
Efficient designs optimize the design such that the data will lead to more reliable parameter estimates for the model under consideration.
Furthermore, it also confirmed that orthogonal experimental design method was very efficient to optimize the preparation conditions for the synthesis of mesoporous Fe2O3/TiO2 heterostructured microspheres.
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