Optimal Data Selection for Piezoelectric Material Characterization

A Common Weight Data Envelopment Analysis Approach for Material Selection

Material selection is one of the major problems in manufacturing environments since the improper selected material may lead to fail in the production processes and result in customer dissatisfaction and cost inefficiency. Every material has different properties which should be considered as major criteria during the material selection procedure. Selection criteria could be quantitative or quali...

Ferrite material Characterization Using S-Parameters Data

ince many applications rely on the knowledge of the electromagnetic material properties of ferrites, such as ferrite phase shifters, this paper presents an algorithm for characterizing ferrite materials in a single frequency using a rectangular waveguide system. In this method, the extraction of ferrite parameters is implemented through minimizing the difference between the measured data and th...

An Augmented Common Weight Data Envelopment Analysis for Material Selection in High-tech Industries

Material selection is a challenging issue in manufacturing processes while the inappropriate selected material may lead to fail the manufacturing process or end user experience especially in high-tech industries such as aircraft and shipping. Every material has different quantitative and qualitative criteria which should be considered simultaneously when assessing and selecting the right materi...

Optimal data selection for unit selection synthesis

In this work, we address the issue of creating a set of utterances with optimal coverage for reliable, high quality concatenative synthesis, whether for general synthesis or domain synthesis. We present an automatic method that takes into account the acoustic distinctions made by a particular speaker and selects prompts from large databases of typical utterances. A general unit selection text-t...

Material Characterization of Structures Using Genetic Algorithm Vibetarional Data