A Method for Determining Economically Optimal Loom Speed

Determining an Economically Optimal (N,C) Design via Using Loss Functions

In this paper, we introduce a new sampling plan based on the defective proportion of batch. The proposed sampling plan is based on the distribution function of the proportion defective. A continuous loss function is used to quantify deviations between the proportion defective and its acceptance quality level (AQL).  For practical purpose, a sensitivity analysis is carried out on the different v...

A new method for determining the optimal lagged ensemble

We propose a general methodology for determining the lagged ensemble that minimizes the mean square forecast error. The MSE of a lagged ensemble is shown to depend only on a quantity called the cross-lead error covariance matrix, which can be estimated from a short hindcast data set and parameterized in terms of analytic functions of time. The resulting parameterization allows the skill of fore...

On the Design Method of Economically Optimal Size of Projects

Determining the optimal conditions for calcium titanate nanoparticles synthesized via mechanical alloying method

In this research, calcium titanate nanoparticles have been synthesized via mechanical alloying (MA). By changing the parameters of mechanical alloying, optimal conditions for synthesis of this compound was determined. For synthesis of this compound, a mixture of calcium hydroxide and titanium dioxide, rotation speed of 250 rpm and differnet ball to powder weight ratio was used. Phase investigat...

LOOM: Optimal Aggregation Overlays for In-Memory Big Data Processing

Aggregation underlies the distillation of information from big data. Many well-known basic operations including top-k matching and word count hinge on fast aggregation across large data-sets. Common frameworks including MapReduce support aggregation, but do not explicitly consider or optimize it. Optimizing aggregation however becomes yet more relevant in recent “online” approaches to expressiv...