Study of the Choice of Excitation Frequency for Sub Surface Defect Detection in Electrically Thick Conducting Specimen Using Eddy Current Testing

Understanding the scope and limitations of non-destructive testing procedure is essential for selecting the appropriate test parameters for material inspection. This paper presents the scope of material (\( \delta_{s} \)) and probe dependent (\( \delta_{t} \)) penetration depths for determining the optimal test frequency (\( f_{opt} ) \) for detection of sub surface defects in electrically thick conducting specimens. Numerical modelling is carried out for a pancake coil above an electrically thick aluminium plate, \( t/\delta_{t} \)?>?1, to study the influence of the EC probe and defect location (\( t_{df} \)) on the test frequency for near and deep sub surface defects. The study concludes that the optimal test frequency, \( f_{opt} \) for detection of deep sub surface defects (\( t_{df} /t \approx 1 \)) is determined by the probe dependent skin depth, \( \delta_{t} \), and the plate thickness is related to \( f_{opt} \) by, \( t \propto 1/\sqrt {f_{opt} } \). The numerical observations were experimentally validated for machined sub surface notches on a 10 mm thick (\( t \)) aluminium plate.     

Brightness preserving bi‐level fuzzy histogram equalization for MRI brain image contrast enhancement

In this article, brightness preserving bi‐level fuzzy histogram equalization (BPFHE) is proposed for the contrast enhancement of MRI brain images. Histogram equalization (HE) is widely used for improving the contrast in digital images. As a result, such image creates side‐effects such as washed‐out appearance and false contouring due to the significant change in brightness. In order to overcome these problems, mean brightness preserving HE based techniques have been proposed. Generally, these methods partition the histogram of the original image into sub histograms and then independently equalize each sub‐histogram. The BPFHE consists of two stages. First, fuzzy histogram is computed based on fuzzy set theory to handle the inexactness of gray level values in a better way compared to classical crisp histograms. In the second stage, the fuzzy histogram is divided into two sub‐histograms based on the mean intensities of the multi‐peaks in the original image and then equalizes them independently to preserve image brightness. The quantitative and subjective enhancement of proposed BPBFHE algorithm is evaluated using two well known parameters like entropy or average information contents (AIC) and Feature Similarity Index Matrix (FSIM) for different gray scale images. The proposed method have been tested using several images and gives better visual quality as compared to the conventional methods. The simulation results show that the proposed method has better performance than the existing methods, and preserve the original brightness quite well, so that it is possible to be utilized in medical image diagnosis.     

A Highly Emissive Surface Layer in Mixed‐Halide Multication Perovskites

Mixed‐halide lead perovskites have attracted significant attention in the field of photovoltaics and other optoelectronic applications due to their promising bandgap tunability and device performance. Here, the changes in photoluminescence and photoconductance of solution‐processed triple‐cation mixed‐halide (Cs_0.06MA_0.15FA_0.79)Pb(Br_0.4I_0.6)₃ perovskite films (MA: methylammonium, FA: formamidinium) are studied under solar‐equivalent illumination. It is found that the illumination leads to localized surface sites of iodide‐rich perovskite intermixed with passivating PbI₂ material. Time‐ and spectrally resolved photoluminescence measurements reveal that photoexcited charges efficiently transfer to the passivated iodide‐rich perovskite surface layer, leading to high local carrier densities on these sites. The carriers on this surface layer therefore recombine with a high radiative efficiency, with the photoluminescence quantum efficiency of the film under solar excitation densities increasing from 3% to over 45%. At higher excitation densities, nonradiative Auger recombination starts to dominate due to the extremely high concentration of charges on the surface layer. This work reveals new insight into phase segregation of mixed‐halide mixed‐cation perovskites, as well as routes to highly luminescent films by controlling charge density and transfer in novel device structures.     

AGGLO-Hi clustering algorithm for gene expression micro array data using proximity measures

Gene selection is imperative to clustering in light of gene articulation information, as a result of high Clustering quality. Clustering gene articulation information is a vital research subject in bioinformatics on the grounds that knowing which genes act correspondingly can prompt the disclosure of vital natural data. Many clustering systems have been proposed to the examination of gene articulation information got from microarray innovation. Clustering is one of the major procedures of investigating gene articulation information, fundamentally by contrasting gene articulation profiles or test articulation profiles. The Proposed strategy is an Agglo-Hi clustering algorithm which is accounted for the fuse of vicinity similarity estimates like Euclidean Distance, Manhattan Distance Chebyshev Distance, and Cosine Similarity for their execution. The technique is quality articulation information in microarray which is extricated and quality can be chosen from the preprocessed information, at that point the Agglo-Hi Clustering algorithm is utilized for quality information. The grouped information get approved utilizing legitimacy file and the outcome is gotten in light of nearness measures. To refine quality articulation information onto enhanced bunch quality by accelerating Unsupervised Learning stage and the execution of Agglo-Hi algorithm figures the Clustering quality, exactness and time unpredictability.

     

Exploring the relationships between IT competence,innovation capacity and organizational agility

Business environments today are characterized as being very dynamic and hyper competitive. Organizations in these environments have to be agile in order to adapt their strategies and actions to be successful. While it is recognized that information technology can enable firms to be agile, there is a limited understanding of the mechanisms through and the contexts in which Information Technology (IT) enhances agility. This study examines two key antecedents of organizational agility, namely the IT competence of a firm and its innovation capacity and, examine their independent and joint effects on agility. We test our model using data collected from large firms in the US. The results provide strong support for our model. We found that firms with superior IS capabilities coupled with an aggressive IT investment orientation create digital platforms that enable them to be agile. We also found that the innovation capacity of the firm has a positive relationship with organizational agility and that firms with higher innovation capacity are better able to leverage their digital platforms to enhance agility. Our results indicate that organizational agility has a strong positive impact of firm performance. We interpret and discuss these results and their theoretical and practical implications.     

Indirect electroreduction of o-nitrophenol to o-aminophenol on titanium dioxide coated titanium electrodes

The heterogeneous catalytic redox behaviour of a titanium dioxide coated titanium electrode surface was investigated with and without o-nitrophenol using cyclic voltammetry. A comparison of the cyclic voltammograms recorded in the absence and in the presence of o-nitrophenol confirmed the catalytic reduction of o-nitrophenol by the surface Ti⁴⁺/Ti³⁺ redox system present on the electrode surface. Preparative scale experiments were also carried out using a Ti/TiO₂ electrode of large surface area and the redox behaviour of the electrode was confirmed by the isolation of o-aminophenol with high current efficiency and yield.     

Radical polymerization approach for ring opened oxanorbornene anhydride based macromonomers

In this work, we synthesized end group functionalization of the cis-Norbornene-5-6-endo-dicarboxylic anhydride species via the ring-opening metathesis polymerization (ROMP) of oxanorbornene derivatives generated a chiseled poly(cis-Norbornene-5-6-endo-Dicarboxylic anhydride) acrylate macromonomer. Further, acrylate oxanorbornene based macromonomer further polymerized via reversible addition fragmentation chain transfer (RAFT) polymerization technique. Chain transfer is exhibited in the structure during the radical polymerizations so that free radical polymerization could also be used to comb structure copolymers with a PDI value below 1.2 with the help of acrylate oxanorbornene. Atomic force microscopy reveals the comb shape of branched polymer brushes structure. This method involves polymerizable end-group attachment to a macromonomer, and the backbone of the comb polymer is created in a second step of the polymerization. We believe that this kind of comb structured polymers can be considered for different biological applications.     

A novel method of unburned hydrocarbons and NOx gases capture from vehicular exhaust using natural biosorbent

Automobile emissions are composed of NO_x and unburned hydrocarbon that contribute significantly to major environmental and health issues. In this study, encapsulated Moringa oleifera beads (EMBs) were synthesized using Moringa oleifera pod powder that was cross-linked with calcium alginate and used as a biosorbent for reducing the emission gas concentrations from the single-cylinder diesel engine. The breakthrough curve was attained from single and double stage of fixed bed column by the influence of temperature ranging from (80°C–120°C) ± 5°C with a feed flow rate varying from 8 to 10 kg hr^–1 and bed height varying from 15 to 30 cm. Based on the experimental results, the maximum biosorption capacity (q_o) was found to be 14.45 and 123.51 mg g^–1 for HC and NO_x, respectively, and was obtained at 80°C–90°C with double stage of BH–30cm under flow rate of 8 kg hr^–1. Further, breakthrough curves were investigated, and the experimental data were fitted using well-established models like Thomas, Yoon–Nelson, and Wang models. In addition, mass transfer models like Weber–Morris and Boyd were investigated to identify the rate-limiting step of the overall biosorption process.     

DNA sensing by silicon nanowire: charge layer distance dependence

To provide a comprehensive understanding of the field effect in silicon nanowire (SiNW) sensors, we take a systematic approach to fine tune the distance of a charge layer by controlling the hybridization sites of DNA to the SiNW preimmobilized with peptide nucleic acid (PNA) capture probes. Six target DNAs of the same length, but differentiated successively by three bases in the complementary segment, are hybridized to the PNA. Fluorescent images show that the hybridization occurs exclusively on the SiNW surface between the target DNAs and the PNA. However, the field-effect response of the SiNW sensor decreases as the DNA (charge layer) moves away from the SiNW surface. Theoretical analysis shows that the field effect of the SiNW sensor relies primarily on the location of the charge layer. A maximum of 102% change in resistance is estimated based on the shortest distance of the DNA charge layer (4.7 A) to the SiNW surface.     

Synthesis, characterization, and assembly of beta-In2S3 nanoparticles

Semiconductor nanoparticles of Indium Sulphide were synthesized by a hydrothermal method using InCl3 and Na2S. Powder X-ray Diffraction analysis confirmed that the product obtained was nanocrystals of single-phase beta-In2S3. The crystallite size distribution was obtained from the diffraction profile and the average size was approximately 5 nm. The compositional analyses performed on the as-prepared powder showed that the material was devoid of any impurity with an In:S ratio very close to 2:3. A colloid of very fine In2S3 particles was obtained from the as-prepared powder by suspending them in acetonitrile. The optical absorption of this colloid showed evidence of strong quantum confinement of excitons and as a result the particles yielded intense photoluminescence in the violet-blue region. These colloidal particles were then electrophoretically driven on to a transparent conducting substrate to assemble into a nanostructure. A Grazing Incidence X-ray Diffraction analysis of the deposited layer revealed that the preferred orientation noticed in the native powder was removed in the deposit. The surface morphology of the deposit studied using SEM and AFM displayed an inherent ordering behaviour in the clusters organized into a two-dimensional film. The locus of the cluster lines tend to form closed circles, at the nanoscopic as well as microscopic scales, indicative of certain strong neighborhood correlations. Such structures may be expected to exhibit novel correlated properties also.