Presence Of Various Percentages Research Articles

Robust Estimation methods of Generalized Exponential Distribution with Outliers

This paper discussed robust estimation for point estimation of the shape and scale parameters for generalized exponential (GE) distribution using a complete dataset in the presence of various percentages of outliers. In the case of outliers, it is known that classical methods such as maximum likelihood estimation (MLE), least square (LS) and maximum product spacing (MPS) in case of outliers cannot reach the best estimator. To confirm this fact, these classical methods were applied to the data of this study and compared with non-classical estimation methods. The non-classical (Robust) methods such as least absolute deviations (LAD), and M-estimation (using M. Huber (MH) weight and M. Bisquare (MB) weight) had been introduced to obtain the best estimation method for the parameters of the GE distribution. The comparison was done numerically by using the Monte Carlo simulation study. The two real datasets application confirmed that the M-estimation method is very much suitable for estimating the GE parameters. We concluded that the M-estimation method using Huber object function is a suitable estimation method in estimating the parameters of the GE distribution for a complete dataset in the presence of various percentages of outliers.

Preparation and performance of Fe3O4/TiO2 nanocomposite with enhanced photo-Fenton activity for photocatalysis by facile hydrothermal method

The photocatalytic degradation of crystal violet organic dye was carried out in presence of various percentages of composite catalyst under UV light irradiation. In this study Fe3O4/TiO2 nanocomposites were synthesized by hydrothermal method, which is simple and cost effective. Using various standard characterization techniques, the physical and chemical properties of the prepared nanocatalyst were determined. The crystallinity and surface morphology were analyzed by X-ray diffraction and scanning electron microscopy. The primary absorption bands were observed using Fourier transform infrared spectroscopy. The optical property which plays a major role in photodegradation was examined using UV–visible spectroscopy. The magnetic behavior of the sample was determined by vibrating sample magnetometer. The optimized and highly efficient Fe3O4/TiO2 (1:4) nanocomposite exhibits enhanced photocatalytic activity in the degradation of crystal violet dye. The efficiency of the catalyst and its photocatalytic mechanism by introducing hydroxyl radical as an oxidizing agent have been explained in detail.

BBO Algorithm for Line Flow Based WLS State Estimation

State estimation techniques are extensively used by all the utilities to make the best possible estimate of the present system state from the available set of redundant measurements. Conventional estimates most commonly emerge as generating bus voltage magnitudes and angles which should be converted later into line loadings to entire security analysis. BBO algorithm has been applied for line flow based state estimation technique which offers the output in terms of real and reactive power flows and bus voltage magnitudes. The proposed method when applied on standard test systems in the presence of various percentages of bad measurements has been found to give better outcome over those conventional WLS technique in terms of normalized error values and net computation time.

Sintering and Microstructural Modification of Seeded and Neodymium Doped Lanthanum Hexaaluminate

The effect of (i) heterogeneous nucleation by seeding or (ii) doping with neodymium on the formation of lanthanum hexaaluminate was studied during sol to gel conversion. The resultant dried gels were calcined at various temperatures starting from 1100°C to 1600°C for 2 h to study the phase evolution and microstructure.The combined effects of advanced sol gel processing and heterogeneous nucleation promoted the formation of lanthanum hexaaluminate phase at lower temperature (1200°C) than the conventional routes (1300°C). Lanthanum hexaaluminate phase was detected at 1200°C and 1300°C in seeded gel (SG) and unseeded gel (UG), respectively. Heterogeneous nucleation of SG decreases the temperature of formation of lanthanum hexaaluminate by 100°C. Single phase lanthanum hexaaluminate was formed at 1600°C in seeded gel whereas trace of lanthanum monoaluminate phase was still present in UG even at 1600°C.On the doped ones, randomly grown platelets of lanthanum magnesium hexaaluminate form a porous interlocking structure. Presence of various percentages of neodymium oxide significantly modifies the porous interlocking microstructure into self-reinforced, card-house like microstructure. Platelets of rare earth rich magnesium hexaaluminate were grown preferentially more than the stoichiometric rare earth magnesium hexaaluminate at elevated temperature greater than 1450°C. Rare earth rich magnesium hexaaluminate platelets formed the skeleton of a card house structure and the tiny platelets of stoichiometric rare earth magnesium hexaaluminate fill the rest. Lattice parameters of the hexagonal unit cell (c and a) decrease, relative density increases and pore size distribution remained almost unaltered with the increment of doping concentration.

Microstructural design of neodymium-doped lanthanum–magnesium hexaaluminate synthesized by aqueous sol–gel process

Aqueous sol–gel processing was used to synthesize neodymium-doped magnesium hexaaluminate (La1−x Nd x MgAl11O19; x = 0, 0.3, 0.4, 0.5) ceramic powder and subsequently calcined at 1450 and 1600 °C for 2 h. Randomly grown platelets of lanthanum–magnesium hexaaluminate formed a porous interlocking structure. Presence of various percentages of neodymium oxide significantly modifies the porous interlocking microstructure into self-reinforced, card-house-like microstructure. Platelets of rare earth-rich magnesium hexaaluminate were grown preferentially more than the stoichiometric rare earth magnesium hexaaluminate at elevated temperature greater than 1450 °C. Rare earth-rich magnesium hexaaluminate platelets form the skeleton of a card-house structure and the tiny platelets of stoichiometric rare earth magnesium hexaaluminate fill the house. The specific heat capacities, micro-hardness, and fracture toughness were studied in details.

Functionalization Research of Silk Fabrics with PVP/ZnO Nanoparticles for Improving Silk Dyeability with Natural Tea Polyphenol Dye

The dyeability and light fastness of natural dye (Tea polyphenols) in the presence of various percentages of Poly-N-Vinyl-2-Pyrrolidone (PVP), ZnO nanoparticles and PVP/ZnO nanocomposites were carried out in this article. These pretreatment agents were padded on functionalized silk fabrics and the modification effects were characterized by Fourier transform infrared spectroscopy and Scanning electron microscope. The dyeability, UV protection and light fastness properties were analyzed respectively. Experimental verification and theoretical analysis of silk dyeing and finishing performance with modified natural tea polyphenols dye were made.

Enhanced photocatalytic activity of ZnO/CuO nanocomposite for the degradation of textile dye on visible light illumination

The photocatalytic degradation of organic dyes such as methylene blue and methyl orange in the presence of various percentages of composite catalyst under visible light irradiation was carried out. The catalyst ZnO nanorods and ZnO/CuO nanocomposites of different weight ratios were prepared by new thermal decomposition method, which is simple and cost effective. The prepared catalysts were characterized by different techniques such as X-ray diffraction, transmission electron microscopy, field emission scanning electron microscopy, Fourier transform infrared spectroscopy and UV–visible absorption spectroscopy. Further, the most photocatalytically active composite material was used for degradation of real textile waste water under visible light illumination. The irradiated samples were analysed by total organic carbon and chemical oxygen demand. The efficiency of the catalyst and their photocatalytic mechanism has been discussed in detail.

Effects of U-Turns on Capacities of Signalized Intersections

In Florida, the increased use of restrictive medians and directional median openings has generated many U-turns at signalized intersections. There is no widely accepted procedure for estimating the effects of U-turning vehicles on signalized intersection capacity. In the 2000 edition of the Highway Capacity Manual, U-turns are treated as left turns for estimation of saturation flow rates. However, the operational effects of U-turns and left turns are different. This study analyzed the effects of U-turning vehicles on the left-turn saturation flow rate. Data were collected at three signalized intersections in the Tampa Bay area in Florida. In total, the study team recorded the queue discharge times for 260 queues, including 571 U-turning vehicles and 1,441 left-turning vehicles. On the basis of the data collected in the field, a regression model was developed to estimate the relationship between the average queue discharge time for each turning vehicle and the various percentages of U-turning vehicles in the left-turn traffic stream. Adjustment factors for various percentages of U-turning vehicles were also developed by using the regression model. The adjustment factors developed in this study can be directly used to estimate the capacity reduction due to the presence of various percentages of U-turning vehicles at a signalized intersection.

Effects of U-Turns on Capacities of Signalized Intersections

In Florida, the increased use of restrictive medians and directional median openings has generated many U-turns at signalized intersections. There is no widely accepted procedure for estimating the effects of U-turning vehicles on signalized intersection capacity. In the 2000 edition of the Highway Capacity Manual, U-turns are treated as left turns for estimation of saturation flow rates. However, the operational effects of U-turns and left turns are different. This study analyzed the effects of U-turning vehicles on the left-turn saturation flow rate. Data were collected at three signalized intersections in the Tampa Bay area in Florida. In total, the study team recorded the queue discharge times for 260 queues, including 571 U-turning vehicles and 1,441 left-turning vehicles. On the basis of the data collected in the field, a regression model was developed to estimate the relationship between the average queue discharge time for each turning vehicle and the various percentages of U-turning vehicles in the left-turn traffic stream. Adjustment factors for various percentages of U-turning vehicles were also developed by using the regression model. The adjustment factors developed in this study can be directly used to estimate the capacity reduction due to the presence of various percentages of U-turning vehicles at a signalized intersection.