Spinodal Phase Separation in Liquid Films with Quenched Disorder

We study spinodal phase separation in unstable thin liquid films on chemically disordered substrates via simulations of the thin-film equation. The disorder is characterized by immobile patches of varying size and Hamaker constant. The effect of disorder is pronounced in the early stages (amplification of fluctuations), remains during the intermediate stages and vanishes in the late stages (domain growth). These findings are in contrast to the well-known effects of quenched disorder in usual phase-separation processes, viz., the early stages remain undisturbed and domain growth is slowed down in the asymptotic regime. We also address the inverse problem of estimating disorder by thin-film experiments.Comment: 12 pages, 7 figure

Pixel Connectivity Approach for Colour Reconstruction of 3D Brain Image

Today picture getting ready and uses in perspective of RGB-D data have colossal excitement for various research districts. As to, shading alteration, significance information, broad depiction of 3-Estimation scenes in RGB Significance data gives supportive experiences from another estimation to detach substance in close tones. Here, a novel technique is discussed to decide such mixed, lost, and tumult level addition of pixel issues of the RGB-D structure and has been replicated using MATLAB programming. The upside of MATLAB is, it is for the most part available, continually invigorated and has more broad reach. In our methodology, mixed pixel zones are distinguished using super pixel division of shading and significance, and harden them to lost pixel locale. Likewise, a hybrid channel is used to clear confusion level of pixels. Exploratory results exhibits the proposed system gives better execution on PSNR, SNR, Gain

Performance Analysis of Smart Antenna in Wireless Communication

Numerous In the current years, progression in media transmission advances and the expanding interest of information rate has spurred the upgraded utilization of recurrence range. One procedure for the effective use of recurrence is Smart Antenna framework. They give a smart answer for the issue of correspondence movement over-burden i.e. they increment the activity limit. Smart Antenna innovations will change the financial aspects of 4G radio systems. They give either a noteworthy information limit pick up or a huge in the quantity of base stations required to accomplish a base level of administration. This paper is a diagram of Smart Antenna innovation, their advantages. The examination is centered around deciding the attainability of keen transmit and get handset antennas. The objectives are to indicate decreased power utilization, enhanced limit and better connection unwavering quality. At long last, another wideband conservative Smart reception apparatus has been dissected and find critical

Performance Analysis of Indoor Optical Wireless Links

Indoor wireless optical communication is a good alternative to existing mature RF technology. However various challenges in indoor optical wireless technology are due to free space loss, ambient light, and multi path dispersion causing inter symbol interference (ISI). The degradation in performance due to these facts is very much influenced by the channel topology. So in this paper the performance of indoor optical configuration has been analyzed using three types of channel topologies viz., directed (LOS), non-directed (LOS), and multi beam diffused link for various transmitter and receiver design parameters. The analysis has been carried using Optiwave simulation tools

Development of Adaptive Threshold and Data Smoothening Algorithm for GPR Imaging

There are many approaches available to separate the background and foreground in image processing applications. Currently, researchers are focusing on wavelet De-noising, curvelet threshold, Edge Histogram Descriptor threshold, Otsu thresholding, recursive thresholding and adaptive progressive thresholding. In fixed and predictable background conditions, above techniques separate background and foreground efficiently. In a common scenario, background reference is blind due to soil surface moisture content and its non-linearity. There are many methodologies proposed from time to time by researchers to solve this blind reference background separation. But challenges still now remain, because there are two major problems in ground penetrating radar imaging such as targets like ground enhances the false alarm and non-metallic target detection, where the threshold decision is a critical task. In this paper, a novel real time blind adaptive threshold algorithm is proposed for ground penetrating radar image processing. The blind threshold was decided to use normal random variable variance and image data variance. Further, the image was smoothened by random variance ratio to image data variance. Experimental results showed satisfactory results for the background separation and smoothening the targeted image data with the proposed algorithm

Development of Scale and Rotation Invariant Neural Network based Technique for Detection of Dielectric Contrast Concealed Targets with Millimeter Wave System

The detection of concealed targets beneath a person’s clothing from standoff distance is an important task for protection and the security of a person in a crowded place like shopping malls, airports and playground stadium, etc. The detection capability of the concealed weapon depends on a lot of factors likes, a collection of back scattered data, dielectric property and a thickness of covering cloths, the hidden object, standoff distance and the probability of false alarm owing to objectionable substances. Though active millimeter wave systems have used to detect weapons under cloths, but still more attention is required to detect the target likes a gun, knife, and matchbox. To observe such problems, active V-band (59 GHz- 61 GHz) MMW radar with the help of artificial neural network (ANN) has been demonstrated for non-metallic as well as metallic concealed target detection. To validate ANN, the signature of predefined targets is matched with the signature of validated data with the help of the correlation coefficient. The proposed technique has good capability to distinguish concealed targets under various cloths.

Molecular communication in fractional diffusive channel

The molecular communication system with anomalous/fractional diffusion inside a one-dimensional (1-D) environment is considered. The time-dependent diffusivity is incorporated in terms of the power-law diffusivity, and the expression of first passage time density (FPTD) is derived. Further, the peak pulse time and peak concentration corresponding to the derived FPTD function are obtained. Moreover, the analysis is extended in terms of the average probability of error and throughput for the anomalous diffusion channel. The analytical results are validated through simulations