An extraction technique for small signal intrinsic parameters of HEMTs based on artificial neural networks

This paper presents a fast and accurate procedure for extraction of small signal intrinsic parameters of AlGaAs/GaAs high electron mobility transistors (HEMTs) using artificial neural network (ANN) techniques. The extraction procedure has been done in a wide range of frequencies and biases at various temperatures. Intrinsic parameters of HEMT are acquired using its values of common-source S-parameters. Two different ANN structures have been constructed in this work to extract the parameters, multi layer perceptron (MLP) and radial basis function (RBF) neural networks. These two kinds of ANNs are compared to each other in terms of accuracy, speed and memory usage. To validate the capability of the proposed method in small signal modeling of GaAs HEMTs, data and modeled values of S-parameters of a 200 μm gate width 0.25 μm GaAs HEMT are compared to each other and very good agreement between them is achieved up to 30 GHz. The effect of bias, temperature and frequency conditions on the extracted parameters of HEMT has been investigated, and the obtained results match the theoretical expectations. The proposed model can be inserted to computer-aided design (CAD) tools in order to have an accurate and fast design, simulation and optimization of microwave circuits including GaAs HEMTs.     

Effects of Different Boron Compounds on the Corrosion Resistance of Andalusite-Based Low-Cement Castables in Contact with Molten Al Alloy

Interfacial reactions between Al alloy and andalusite low-cement castables (LCCs) containing 5 wt pct B₂O₃, B₄C, and BN were analyzed at 1123 K and 1433 K (850 °C and 1160 °C) using the Alcoa cup test. The results showed that the addition of boron-containing materials led to the formation of aluminoborate (9Al₂O₃.2B₂O₃) and glassy phase containing boron in the prefiring temperature (1373 K [1100 °C]), which consequently improved the corrosion resistance of the refractories. The high heat of formation of the aluminoborate phase (which increased its stability to reactions with molten Al alloy) and the low solubility of boron in molten Al were the major factors that contributed to the improvement in the corrosion resistance of B-doped samples.     

Influence of graphite content on the dry sliding and oil impregnated sliding wear behavior of Al 2024–graphite composites produced by in situ powder metallurgy method

The influence of graphite content on the dry sliding and oil impregnated sliding wear characteristics of sintered aluminum 2024 alloy–graphite (Al/Gr) composite materials has been assessed using a pin-on-disc wear test. The composites with 5–20 wt.% flake graphite particles were processed by in situ powder metallurgy technique. For comparison, compacts of the base alloy were made under the same consolidation processing applied for Al/Gr composites. The hardness of the sintered materials was measured using Brinell hardness tester and their bending strength was measured by three-point bending tests. Scanning electron microscopy (SEM) was used to analyze the debris, wear surfaces and fracture surfaces of samples. It was found that an increase in graphite content reduced the coefficient of friction for both dry and oil impregnated sliding, but this effect was more pronounced in dry sliding. Hardness and fracture toughness of composites decreased with increasing graphite content. In dry sliding, a marked transition from mild to severe wear was identified for the base alloy and composites. The transition load increased with graphite content due to the increased amount of released graphite detected on the wear surfaces. The wear rates for both dry and oil impregnated sliding were dependent upon graphite content in the alloy. In both cases, Al/Gr composites containing 5 wt.% graphite exhibited superior wear properties over the base alloy, whereas at higher graphite addition levels a complete reversal in the wear behavior was observed. The wear rate of the oil impregnated Al/Gr composites containing 10 wt.% or more graphite particles were higher than that of the base alloy. These observations were rationalized in terms of the graphite content in the Al/Gr composites which resulted in the variations of the mechanical properties together with formation and retention of the solid lubricating film on the dry and/or oil impregnated sliding surfaces.     

Dry reforming of methane over nano-Mo2C/Al2O3 catalyst: Effect of carburization conditions on excess carbon deposition

In this study, temperature-programmed carburization (TPC) has been used to prepare Mo₂C/Al₂O₃ catalyst for carbon dioxide reforming of methane. Also, the effect of carburization conditions has been examined on excess carbon formation over the prepared catalysts. Minimum excess carbon of 0.51 wt% was obtained in a flow of 12.5 vol% CH₄/H₂ gas mixture, final carburization temperature of 750°C, and Mo loading of 12.5 wt%. This catalyst exhibited better initial activity due to lower excess carbon and higher carbide dispersion compared with other examined catalysts. However, the results of time on stream performance in the dry reforming of methane (DRM) revealed an increase in durability with an increase in Mo loading.     

Quantitation of limonin in Iranian orange juice concentrates using high-performance liquid chromatography and spectrophotometric methods

Bitterness is a major problem in the citrus industry worldwide, and is mostly due to the presence of limonoid compounds, especially limonin. In this study, the limonin content of orange juice concentrates from three active factories in west Mazandaran province, after reconstitution, was assayed using high-performance liquid chromatography (HPLC) and spectrophotometric methods. With HPLC, employing acetonitrile/water (v/v) (32:68) with a flow rate of 0.9 ml/min at =207 nm, the limonin content was in the range 11.7–23.3 g/ml with a mean ± standard deviation (SD) of 18.5±3.6 g/ml. Spectrophotometric measurement of limonin at 503 nm with Burnham reagent gave a range of 9.9–21.8 g/ml with a mean ± SD of 17.16±4.1 g/ml. The correlation coefficients of the detector linear response for the limonin standard (0–50 g/ml) for HPLC and spectrophotometry were 0.995 and 0.989, respectively. The percentages of limonin recovery with and without sample addition were 101.02–111.40 and 93.0–100.8, respectively, for HPLC. The percentages of limonin recovery for the spectrophotometric method resulted in 95.6–101.8 for limonin-added samples. The precision factors for the two assay methods were ±2.10% and ±1.69, respectively. The correlation coefficient of the two methods was 0.84. Sensory evaluation of the reconstituted samples from the view point of bitterness confirmed 85% of the results of the analytical methods. This study recommends spectrophotometric analysis as a useful and suitable method for quantitation of limonin in the quality control laboratories of orange juice plants.     

Cross‐linking gold nanoparticles aggregation method based on localised surface plasmon resonance for quantitative detection of miR‐155

MiR‐155 plays a critical role in the formation of cancers and other diseases. In this study, the authors aimed to design and fabricate a biosensor based on cross‐linking gold nanoparticles (AuNPs) aggregation for the detection and quantification of miR‐155. Also, they intended to compare this method with SYBR Green real‐time polymerase chain reaction (PCR). Primers for real‐time PCR, and two thiolated capture probes for biosensor, complementary with miR‐155, were designed. Citrate capped AuNPs (18.7 ± 3.6 nm) were synthesised and thiolated capture probes immobilised to AuNPs. The various concentrations of synthetic miR‐155 were measured by this biosensor and real‐time PCR method. Colorimetric changes were studied, and the calibration curves were plotted. Results showed the detection limit of 10 nM for the fabricated biosensor and real‐time PCR. Also, eye detection using colour showed the weaker detection limit (1 µM), for this biosensor. MiR‐133b as the non‐complementary target could not cause a change in both colour and UV–visible spectrum. The increase in hydrodynamic diameter and negative zeta potential of AuNPs after the addition of probes verified the biosensor accurately fabricated. This fabricated biosensor could detect miR‐155 simpler and faster than previous methods.Inspec keywords: RNA, molecular biophysics, biochemistry, cancer, nanoparticles, gold, aggregation, surface plasmon resonance, molecular configurations, nanosensors, enzymes, calibration, ultraviolet spectra, visible spectra, eye, hydrodynamics, electrokinetic effects, biosensors, nanofabricationOther keywords: cross‐linking gold nanoparticles aggregation method, localised surface plasmon resonance, quantitative detection, cancers, diseases, biosensor, miR‐155 detection, miR‐155 quantification, SYBR green real‐time polymerase chain reaction, thiolated capture probes, citrate capped AuNPs, synthetic miR‐155, real‐time PCR method, colorimetric changes, calibration curves, eye detection, colour, detection limit, MiR‐133b, noncomplementary target, UV‐visible spectrum, hydrodynamic diameter, negative zeta potential, Au     

An Evolutionary Game-Theoretic Approach for Base Station Allocation in Wireless Femtocell Networks

Wireless Personal Communications - A set of moving nodes communicating with each other without any infrastructure is considered a mobile ad hoc network (MANET). Stability is a big problem with this...     

A stochastic process-based server consolidation approach for dynamic workloads in cloud data centers

The Journal of Supercomputing - With the development of information technology, there is a need for computational works everywhere and every time. Thus, people should be able to carry out their...     

Modeling of nonlinear extensional and shear rheology of low-viscosity polymer melts

The hierarchical multi-mode molecular stress function (HMMSF) model developed by Narimissa and Wagner [Rheol. Acta 54, 779–791 (2015), and J. Rheol. 60, 625–636 (2016)] for linear and long-chain branched (LCB) polymer melts were used to analyze the set of transient elongational and shear viscosity data of two LCB low-density polyethylenes (1840H and 2426 k), and a linear poly-(ethylene-co-α-butene), PEB A-780090 as reported by [Li et al. J. Rheol. 64, 177 (2020)], who had developed a new horizontal extensional rheometer to extend the lower limits of elongational viscosity measurements of polymer melts. Comparison between model predictions and elongational stress growth data reveals excellent agreement within the experimental window, and good consistency with shear stress growth data, based exclusively on the linear-viscoelastic relaxation spectrum and only two nonlinear model parameters, the dilution modulus G_D for extensional flows, and in addition a constraint release parameter for shear flow.