Morphological Study of Lanthanum-Doped Nano Spinel Ferrite via Normal Micelles Method

Lanthanum-doped nano spinel ferrite compounds were synthesized via normal micelles method, characterized by means of TGA/DSC curves to know calcination temperature and stoichiometry of elements confirmed by EDAX. X-ray diffraction shows well defined cubic spinel structure with secondary phase of ortho ferrite LaFeO₃. Lattice parameter exhibited gradual increases with increasing in La³⁺ ion concentrations due to the larger ionic radii of La³⁺ ions replace Fe³⁺ ions. FT-IR spectra recorded in the range of 4000–400 cm^?1 to detect vibrational bands. Surface morphology analyzed by SEM, The particle size analyzed by Dynamic Light Scattering, full width half maxima of 311 peak obtained from XRD and TEM analysis, reveals that fine particle nature with little agglomeration and average particle size determined in the range of few nano meters.     

Biocompatible,stimuli‐responsive hydrogel of chemically crosslinked β‐cyclodextrin as amoxicillin carrier

A novel pH‐responsive, chemically crosslinked hydrogelator (cl‐β‐CD/pVP) has been fabricated using β‐cyclodextrin (β‐CD) and N‐vinyl pyrollidone (N‐VP) in presence of diurethane dimethacrylate (DUDMA) crosslinker/azobisisobutyronitrile initiator through free radical polymerization. Various grades of cl‐β‐CD/pVP have been synthesized and the best grade has been considered with higher crosslinking density, higher gel strength, and lower % swelling ratio. The hydrogelator has been characterized by FTIR, ¹H and ¹³C NMR spectroscopy, TGA, and FESEM analyses. The hydrogelator demonstrates pH‐responsive behavior, which has been confirmed by swelling behavior and gel characteristics at various pH (at 37 °C). Using hen egg lysozyme, degradation experiment has been performed, which confirms the biodegradable nature of the hydrogel. The in vitro cytotoxicity study and live–dead assay suggest that the hydrogelator is cytocompatible toward MG‐63 cells. Finally, the hydrogelator shows excellent efficacy as an antibiotic (amoxicillin) carrier. © 2017 Wiley Periodicals, Inc. J. Appl. Polym. Sci. 2018 , 135, 45939.     

Wireless Network Security Based on the Image Address Masking (IAM) Mechanism

A multimodal biometric system is applied to recognize individuals as authentication, identification and verification for claimed identity. Multimodal biometrics increases the security level accuracy, spoof of attacks, noise in collected data, intra-class variations, inter-class variations, non universality etc. In this paper a multi modal biometric algorithm is designed by integrating iris, palm print, face and signature based on encoded discrete wavelet transform for image analysis and authentication. Multi level wavelet based fusion approach is applied, integrated and encoded into single composite image for matching decision. It reduces the memory size, increases the recognition accuracy and ERR using multimodal biometric approach when compared to individual biometric traits. The complexity of fusion and the reconstruction algorithm is suitable for many real time applications.     

Multi-objective optimisation of pulsed Nd:YAG laser cutting process using integrated ANN–NSGAII model

The paper presents an integrated model of artificial neural networks (ANNs) and non-dominated sorting genetic algorithm (NSGAII) for prediction and optimization of quality characteristics during pulsed Nd:YAG laser cutting of aluminium alloy. A full factorial experiment has been conducted where cutting speed, pulse energy and pulse width are considered as controllable input parameters with surface roughness and material removal rate as output to generate the dataset for the model. In ANN–NSGAII model, back propagation ANN trained with Bayesian regularization algorithm is used for prediction and computation of fitness value during NSGAII optimization. NSGAII generates complete set of optimal solution with pareto-optimal front for outputs. Prediction accuracy of ANN module is indicated by around 1.5 % low mean absolute % error. Experimental validation of optimized output results less than 1 % error only. Characterization of the process parameters in pareto-optimal region has been explained in detail. Significance of controllable parameters of laser on outputs is also discussed.     

High‐Throughput Block Optical DNA Sequence Identification

Optical techniques for molecular diagnostics or DNA sequencing generally rely on small molecule fluorescent labels, which utilize light with a wavelength of several hundred nanometers for detection. Developing a label‐free optical DNA sequencing technique will require nanoscale focusing of light, a high‐throughput and multiplexed identification method, and a data compression technique to rapidly identify sequences and analyze genomic heterogeneity for big datasets. Such a method should identify characteristic molecular vibrations using optical spectroscopy, especially in the “fingerprinting region” from ≈400–1400 cm^?1. Here, surface‐enhanced Raman spectroscopy is used to demonstrate label‐free identification of DNA nucleobases with multiplexed 3D plasmonic nanofocusing. While nanometer‐scale mode volumes prevent identification of single nucleobases within a DNA sequence, the block optical technique can identify A, T, G, and C content in DNA k‐mers. The content of each nucleotide in a DNA block can be a unique and high‐throughput method for identifying sequences, genes, and other biomarkers as an alternative to single‐letter sequencing. Additionally, coupling two complementary vibrational spectroscopy techniques (infrared and Raman) can improve block characterization. These results pave the way for developing a novel, high‐throughput block optical sequencing method with lossy genomic data compression using k‐mer identification from multiplexed optical data acquisition.     

TelePatch: a middle layer for screening device fragmentation

Solutions in the domain of mobile computing face a typical problem of fragmentation due to permissible customization to android framework. Fragmentation is a problem at the device side where the expected behavior of an application is not exhibited identically over all other devices. Presently, cross-layer design is becoming essential aspect of the app development, targeted to deliver an energy-efficient and productive solution. Fragmentation is posing an enormous challenge for development community, and solutions are designed per case basis. There are solutions developed in the domain of graphics and Web access, but as far as the fragmentation with core framework is considered, the solution is still missing. In this paper, we are proposing an intermediate background app residing between the application and the core framework. The proposed app TelePatch generates a map between the intended calls with actually supported calls. The map so obtained can be used by the interested application to obtain the services from the core framework. In our case, we have deployed TelePatch with NeSen, used for capturing the network-state parameters using telephony API of the Android.     

Dielectric relaxation and viscoelastic behavior of polyurethane–titania composites: dielectric mixing models to explain experimental results

Polyurethane–titania nanocomposites with varying composition are prepared through two different mixing methods. The effect of titania on dielectric, mechanical, and thermal properties is investigated for different composites. A variety of electrical tests (like impedance and dielectric constant) are performed on the resultant composites and it was found that the dielectric constant of composites increased significantly, whereas impedance (|Z|) decreased with the increase in titania concentration. The effect of temperature on dielectric properties was also studied and it was found that the dielectric constant increased up to a certain temperature and beyond that it decreased. From mechanical testing, it is observed that the properties depend on both the composition and mixing methods. The glass transition temperature (T _g) of soft and hard segments along with vulcanization temperature (T _v) observed from the differential scanning calorimetry (DSC) are found to shift with the incorporation of titania into the PU matrix. The viscoelastic behavior of the nanocomposites was studied by dynamic mechanical analysis (DMA), and increase in storage modulus (E′) was achieved through addition of titania to the PU matrix, especially in the low strain region, whereas some decrease was observed in the higher strain region. Finally, different dielectric models were compared with the experimental data and the best match was achieved by the Lichtenecker model, especially at 1 kHz, which can be used as a predictive rule for different volume contents of titania filler in the PU matrix.     

Deep learning for vision‐based fall detection system: Enhanced optical dynamic flow

Accurate fall detection for the assistance of older people is crucial to reduce incidents of deaths or injuries due to falls. Meanwhile, vision‐based fall detection system has shown some significant results to detect falls. Still, numerous challenges need to be resolved. The impact of deep learning has changed the landscape of the vision‐based system, such as action recognition. The deep learning technique has not been successfully implemented in vision‐based fall detection system due to the requirement of a large amount of computation power and requirement of a large amount of sample training data. This research aims to propose a vision‐based fall detection system that improves the accuracy of fall detection in some complex environments such as the change of light condition in the room. Also, this research aims to increase the performance of the pre‐processing of video images. The proposed system consists of Enhanced Dynamic Optical Flow technique that encodes the temporal data of optical flow videos by the method of rank pooling, which thereby improves the processing time of fall detection and improves the classification accuracy in dynamic lighting condition. The experimental results showed that the classification accuracy of the fall detection improved by around 3% and the processing time by 40–50 ms. The proposed system concentrates on decreasing the processing time of fall detection and improving the classification accuracy. Meanwhile, it provides a mechanism for summarizing a video into a single image by using dynamic optical flow technique, which helps to increase the performance of image preprocessing steps.     

Electron-beam-initiated grafting of triallyl cyanurate onto polyethylene: Structure and properties

Electron-beam (EB)-initiated grafting of triallyl cyanurate (TAC) onto polyethylene (PE) has been carried out over a range of radiation dose (2–20 Mrad) and concentrations of TAC (0.5–3 parts by weight). The grafting level, as determined from IR spectroscopy, is maximum at a 10 Mrad radiation does using 1 part TAC. With increasing TAC level at a 15 Mrad dose, the grafting level is higher only after 1.5 parts TAC. The gel content increases with radiation dose in the initial stages. X-ray studies indicate two peaks at 10.6–10.8° and 11.7–11.9° and the corresponding interplaner distances of 4.15 and 3.80 Å. With increase in radiation dose or TAC level, the crystallinity decreases in the initial stage and then increases. It shows a decreasing trend again at higher radiation dose. The interplanar distance or the interchain distance of the modified polymer does not change. However, the crystallite size increases initially and then decreases. The tensile properties are relatively insensitive to the variation of radiation dose because of the interplay of various factors. The dielectric loss, tan δ, shows a maximum at a 10 Mrad dose and minimum at 5 and 15 Mrad due to changes of polarity and the carrier mobility. © 1994 John Wiley & Sons, Inc.     

Effect of processing parameters, applied pressure and temperature on the electrical resistivity of rubber-based conductive composites

Carbon black- and short carbon fibre (SCF)-filled conductive composites were prepared from ethylene vinyl acetate (EVA), ethylene propylene diene (EPDM) rubber and their 50:50 blend. The electrical resistivity of carbon black- and SCF-filled composites were measured under different conditions. The electrical conductivity of filled polymer composites is due to the formation of a continuous conductive network in the polymer matrix. These conductive networks involve specific arrangement of conductive elements so that the electrical paths are formed for free movement of electrons. It was found that electrical conductivity of filled conductive composites depends on different processing parameters like mixing time, rotor speed, mixing temperature, vulcanization time and pressure and service conditions like applied pressure and temperature. The results of different experiments have been discussed in light of break down and formation of the continuous conductive network.