Synthesize of Boron Nitride nanowires were made by utilizing Austenitic hardened steel AISI 316 with a nitriding layer of 15–16 μm thickness. Deposition experiments at deferent substrate temperatures for BN Nanowires productions were carried out with the help of a blended gas stage depositing handle procedure (PVD and CVD). Chemical composition and crystallinity along with the average grain size for BN phases was investigated by using XRD test and FTIR spectrum. The SEM images was used to examine the surface topography. Finally theoretical investigations computations were performed by thickness useful hypothesis (DFT) in Gaussian 09 bundle. According to our results, the impact of the depositing temperature on the chemical composition and the structure should be pointed out as the major effect for the higher deposition rate that leads to thicker and more dense BN surface film, where the more uniform BN Nanostructures wires with a regular diameter of 20 nm and average grain size of ~18nm was compelled through novel materializing crystalline stages causing grain size to rise with increasing deposition temperature to specific level.
Many nanoforms of zinc oxide (ZnO) structures can be synthesized, such as spheres, rods, flowers, disks and walls, as scatter centers in random laser. However, nanoflower and nanowire shapes in this work have received particular interest due to their wide range of applications, including biological, medical cancer cell detection, gas sensors, and biosensors. In this paper, we investigate the optical and morphological properties of two-shaped nanoparticles as scatter centers in the laser active medium on the performance emission of a random laser. Fluorescence and absorption spectra show that 10[Formula: see text][Formula: see text]M for R6G dye and [Formula: see text][Formula: see text]cm[Formula: see text] ZnO NPs are the optimal nanocomposite film concentrations for R6G dye. With excitation energies ranging from 3.44[Formula: see text]mJ to 28.34[Formula: see text]mJ and a repetition rate of 2[Formula: see text]Hz, second-harmonic generation Nd: YAG laser Amplified spontaneous emission (ASE) spectra of the nanocomposite films were observed. The results indicated a minimum bandwidth (Full width at half maximum (FWHM)) of 13[Formula: see text]nm at a threshold energy of 8.65[Formula: see text]mJ for ZnO NW (nanowire) nanocomposite films at [Formula: see text][Formula: see text]cm[Formula: see text] with R6G dye at 10[Formula: see text][Formula: see text]M and Poly(methyl methacrylate) (PMMA). The ZnO NF (nanoflower) nanocomposite film had an FWHM of 11[Formula: see text]nm and a threshold energy of 4.8[Formula: see text]mJ at the same concentrations of R6G dye on PMMA.
Many other nanoforms of zinc oxide (ZnO) structures can be synthesized, such as (spheres, rods, flowers, disks, wall, etc.). However, nanoflowers and nanowires have received particular interest due to their wide range of applications, including biological pollutants, remedial cancer cell killing, gas sensors, and biosensors. In the present work, we investigate the optical and morphological properties of two shaped nanoparticles as scatter centers in the laser active medium on the performance emission of a random laser. Fluorescence and absorption spectra show that 10− 4 M for R6G dye and 0.184 ×1013cm-3 ZnO NPs are the optimal nanocomposite film concentrations for R6G dye. With excitation energies ranging from 3.44 to 28.34 mJ and a repetition rate of 2 Hz, second-harmonic generation Nd: YAG laser ASE spectra of the nanocomposite films were observed. The results indicated a minimum bandwidth (FWHM) of 13 nm at a threshold energy of 8.65 mJ for ZnO NW nanocomposite films at 0.184 × 1013cm-3 with R6G dye at 10− 4 M and PMMA. The ZnO NF nanocomposite film had a FWHM of 11 nm and a threshold energy of 4.8 mJ at the same concentrations of R6G dye on PMMA.
This paper introduces experimental results of a laboratory scale laser Radar. A computer-controlled laser radar system for measuring moving object velocities using both CO2 laser and laser diode was constructed. Different moving objects with different velocities were used. Furthermore, Doppler Shifts, modulation frequencies and laser wavelengths were transferred to a personal computer (PC). From the previous parameters, the pc was able to present target velocities. A special software and the relevant electronic card (type HP-Gp-lb-designed for spectrum analyzer) were used for noise cancellation and for measuring moving object velocities. We used heterodyne detection technique to detect weak signals.
Most security system's essential errand is to check that the people are in fact who they claim to be. In Contrast to traditional techniques such as passwords and smart cards that are used in some organizations, fingerprint identification may be preferred as it makes the information virtually impossible to steal. The most extensive used biometric features are Fingerprints, in order to identify a person because of their uniqueness and invariance. The fingerprint consists of valleys and ridges on the surface of a fingertip. In this paper, a new hybrid strategy Particle Swarm Optimization (PSO) with Bat Algorithm (BA) is proposed to extract features from fingerprint images. Both PSO and BA algorithms are swarm-based algorithms that mimics the swarm behaviour of particles and bats in nature. In the field of image processing, features are extremely significant. Before obtaining features, the noisy area should be removed from the foreground first, and then several important techniques are applied on each sample image in the database such as Fingerprint Enhancement by using Fast Fourier Transform (FFT), Binarization, and Thinning. The hybrid (PSO-BA) algorithm is proposed as a pre-enhancing step to select the clear minutiae (or feature) structures across several iterations, which will be more suited for the matching phase. By comparing the proposed method with several methods in calculating FAR and FRR, the results showed that the FAR (0.001) and FRR (0.01) were less than the other proposed methods. That means the hybrid (PSO-BA) algorithm has the better results, which means it can be used as one of the best search approaches to extract features from fingerprints
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