Both compression and transmission errors may degrade the quality of stereoscopic images. Although many twodimensional (2D) image quality metrics have been proposed that work well on 2D images, developing quality metrics for three-dimensional visual presentations is almost an unexplored issue. This paper investigates the capabilities of some 2D image quality metrics in stereoscopic image quality...

Clustering is one of the important data mining techniques which discover clusters in many real-world data sets. Recent algorithms attempt to find clusters in subspaces of high dimensional data. Density based clustering algorithms uses grid structure for partitioning each dimensions into intervals (bins) which yields good computation and quality results on large databases. In this paper, we prop...

Clustering is one of the important data mining techniques which discover clusters in many real-world data sets. Recent algorithms attempt to find clusters in subspaces of high dimensional data. Density based clustering algorithms uses grid structure for partitioning each dimensions into intervals (bins) which yields good computation and quality results on large databases. In this paper, we prop...

Dimensional variation reduction is critical to assure high product quality in discrete-part manufacturing. Recent innovations in sensor technology enable in-process implementation of laseroptical coordinate sensors and continuous monitoring of product dimensional quality. The abundance of measurement data provides an opportunity to develop next generation process control technologies that not o...

This study investigated the effects of information system (IS) integration on financial performance in Tehran Stock Exchange with an emphasis on the mediating role of cost performance and quality performance. This survey was carried out in 2018 by distributing 300 questionnaires among all CEOs, financial administrative vice-presidents, accounting managers, and accountants of manufacturing compa...

The utility and advantages of the recently introduced two-dimensional quadrupole ion trap mass spectrometer in proteomics over the traditional three-dimensional ion trap mass spectrometer have not been systematically characterized. Here we rigorously compared the performance of these two platforms by using over 100,000 tandem mass spectra acquired with identical complex peptide mixtures and acq...

Introduction: According to the literature, optical coherence tomography (OCT) can be used measure radiation absorbed dose. This study was carried out to design a computed tomography system for the calculation of absorbed dose and optimization of dose delivery in radiotherapy using gel dosimeters. Material and Methods: An advanced charge-coupled device based OCT system was developed in laborator...

Due to its economic impact “maintainability” is broadly accepted as an important quality attribute of software systems. But in contrast to attributes such as performance and correctness, there is no common understanding of what maintainability actually is, how it can be achieved, measured, or assessed. In fact, every software organization of significant size seems to have its own definition of ...