CSRR‐loaded T‐shaped MIMO antenna for 5G cellular networks and vehicular communications

This article proposes a multiple input multiple output (MIMO) antenna for 5G‐based vehicular communication applications. The designed MIMO antenna consist of two element iterated T‐shape antenna with defected ground structure (DGS) and split ring resonator. The antenna providing reflection coefficient S₁₁ s₁₁ ≤10 dB and bandwidth of 6.3 and 3.96 GHz over the frequency range of 26.83 to 33.13 GHz and 34.17 to 38.13 GHz, respectively. For the suitable future vehicular millimetric wave communications, this antenna achieved resonant frequencies at 28, 33, and 37 GHz. The designed antenna has achieved peak gain of 7.11 dB in operating band. It is fabricated on 12 x 25.4 x 0.8 mm³ Rogers RT duroid 5880 substrate with dielectric constant (ε_r) of 2.2. The antenna is placed on vehicle in virtual environmental using ANSYS SAVANT tool and the simulated results are showing good matching with the measured results of proposed MIMO antenna.     

An intelligent parametric modeling and identification of a 5 kW ballard PEM fuel cell system based on dynamic recurrent networks with delayed context units

This article presents a dynamic simulation study for the modeling and identification of a 5 kW Proton Exchange Membrane (PEM) fuel cell system using intelligent ANN approach to get rid of the complexity involved in the analytical modeling as it is intricate with the highly non-linear dynamics such as electrochemical, thermodynamic and water-transport mechanisms. The proposed artificial networks for the prediction and identification of a highly non-linear fuel cell system performance are Radial Basis Function Network (RBFN), dynamic Elman Recurrent Network (ERN) and NARX Recurrent Network (NRN) that has delayed context unit. A comparative study is made between the performances of the proposed neural network models for identifying an optimal network structure and configuration based on network performance measures. The optimal NARX network ascertained having an appreciable learning and generalization ability is adopted for the prediction and identification of the fuel cell system for its static and dynamic behavior. The network prediction over the system behavior shows good agreement with the benchmark results acquired from a 5 kW-Ballard fuel cell system. The proposed optimal intelligent parametric model can facilitate in replacing a highly non-linear fuel cell system in the fuel cell related model developments that are adopted in several research sectors particularly in transportation applications.     

Financial time series prediction using distributed machine learning techniques

Neural Computing and Applications - The financial time series is inherently nonlinear and hence cannot be efficiently predicted by using linear statistical methods such as regression. Hence,...     

A Triangular Complementary Split Ring Resonator Based Compact Metamaterial Antenna for Multiband Operation

Wireless Personal Communications - In this paper, a triangular complementary split ring resonator (TCSRR) based compact metamaterial antenna for multiband operation is presented. TCSRR is used to...     

A Trusted Water Fall Model for Efficient Data Transmission in VANET

Wireless Personal Communications - Vehicular adhoc networks are slowly gaining importance as the demand for faster communication increases. The vehicular nodes need to communicate securely via an...     

Kairomones Extracted from Rice Yellow Stem Borer and their Influence on Egg Parasitization by <Emphasis Type="Italic">Trichogramma japonicum</Emphasis> Ashmead

Host location and acceptance by egg parasitoids can be mediated by close-range host stimuli. In this study, we tested the response of Trichogramma japonicum Ashmead to cuticular extracts of adult and larval rice yellow stem borer (YSB), Scripophaga incertulas Walker. We also studied the wasps’ response to extracts from YSB larval frass. Laboratory bioassays revealed that hexane extracts of the adult host body stimulate ovipositor probing of T. japonicum. Extracts of larval frass also stimulated parasitization. In contrast, host larval cuticular extracts had no effect on parasitization rates. Fractionation of the crude extracts of adult YSB cuticular extracts was performed using silica gel chromatography, followed by bioassays of the individual fractions to test their effects on wasp behavior. Analyses of the most active fractions by gas chromatography–mass spectrometry revealed that the extract contained saturated long chain alkanes and alkenes, with carbon numbers ranging from C₂₀ to C₃₂. Hydrocarbons were applied onto host eggs to test their effects on parasitization rates. Treatments of eggs with docosane, tetracosane, pentacosane, and eicosane enhanced host egg parasitization, while pentadecane, hexadecane, and nonadecane deterred oviposition. An erratum to this article can be found at     

Viscoelastic behavior of formaldehyde and basic chromium sulfate‐crosslinked collagen

Rat tail tendon (RTT) collagen has been crosslinked with 1% basic chromium sulfate (BCS) at pH 3.2, and 2, 4, 8, and 10% formaldehyde (HCHO) at pH 5 and pH 8. The viscoelastic behavior (such as stress relaxation behavior for BCS and HCHO‐tanned RTT) has been studied in water and 6M urea at different temperatures. The total rate of relaxation has been divided into fast and slow components, and computed using the two‐term model and nonlinear least‐squares fit. The rate of relaxation for crosslinked RTT is less than the native one. Activation energy at absolute zero has been computed using k = AT^me/RT and nonlinear least‐squares fit. The activation energy increases for crosslinked RTT than the native one. This is consistent with the observed rate constant values. This may be due to the additional stability imparted to RTT collagen by coordinate covalent and covalent crosslinks through BCS and HCHO, respectively. © 1999 John Wiley & Sons, Inc. J Appl Polym Sci 71: 2245–2251, 1999     

Physicochemical,melting and sensory properties of ice cream incorporating processed ginger (Zingiber officinale)

Ginger juice and paste (from 2 to 8%, ginger candy from 5 to 20%, and ginger powder from 0.5 to 2%) were incorporated into the ice cream mix prior to freezing. Inclusion of the juice and paste reduced total solids, fat, protein and overrun, and increased antioxidant activity and phenols, whereas the ginger candy and powder increased solids, crude fibre, antioxidant activity and phenols, and diminished fat and overrun. Acidity increased with the ginger juice and powder, whereas it decreased with the ginger paste and candy. First dripping time amplified and melting rate declined with all the ginger preparations. Ice cream containing ginger juice, paste, candy and powder at 6, 4, 10 and 1%, respectively, achieved the highest overall acceptability scores.     

Robust MPR: A Novel Algorithm for Secure and Efficient Data Transmission in VANET

Wireless Personal Communications - A major issue in VANETs is the high mobility of the nodes. Broadcasting helps in improving the performance of the VANETs in terms of secure routing. However,...