A novel data-driven soft sensor is designed for online product quality prediction and control performance modification in industrial units. A combined approach of time variable parameter (TVP) model, dynamic auto regressive exogenous variable (DARX) algorithm, nonlinear correlation analysis and criterion-based elimination method is introduced in this work. The soft sensor performance validation...

In this work, nanocrystalline Fe85Si10Ni5 soft magnetic powders were prepared by mechanical alloying and subsequent annealing to reduce the internal stresses and lattice strains. The powders were mixed with phenolic resin and warm pressed to produce nanostructured soft magnetic composites. The effect of annealing time and temperature on the crystalline structure, microstructure and magnetic pro...

background: anzali wetland has been subjected to high levels of pollution due to contamination from several industrial sites in addition to agricultural chemicals. mussels have been widely used for monitoring pollution in aquatic ecosystems, because they, as filter feeders, bioaccumulate pollutants. therefore we decided to evaluate anodonta cygnea for its application as a bio-monitor for copper...

background: persian gulf is a semi-closed environment which is affected by pollution ‎from heavy metals. entrance of heavy metals to the water column and binding to ‎sediment particles can affect the benthic organisms that can accumulate these ‎materials in their body. noticing this ability, mussels are considered as bio-monitoring ‎agents.‎ methods: the pearl oyster, pinctada radiate, and sedi...

As daily problems involve a great deal of data and ambiguity, it has become vital to build new mathematical ways cope with them, soft set theory is the greatest tool for doing so. result, we study methods generating topologies through several operators. A topology known be determined by system special sets, which are called open (dually closed) sets. The relationship between specific types thei...