Condensation energy of the superconducting bilayer cuprates

In the present work, we report the interplay of single particle and Cooper pair tunnelings on the superconducting state of layered high-Tc cuprate superconductors. For this we have considered a model Hamiltonian incorporating the intra-planar interactions and the contributions arising due to the coupling between the planes. The interplanar interactions include the single particle tunneling as well as the Josephson tunneling of Cooper pairs between the two layers. The expression of the out-of-plane correlation parameter which describes the hopping of a particle from one layer to another layer in the superconducting state is obtained within a Bardeen-Cooper-Schriefer (BCS) formalism using the Green's function technique. This correlation is found to be sensitive to the various parameter of the model Hamiltonian. We have calculated the out-of-plane contribution to the superconducting condensation energy. The calculated values of condensation energy are in agreement with those obtained from the specific heat and the c-axis penetration depth measurements on bilayer cuprates

Coincidence Points for Mappings under Generalized Contraction

In this paper we establish some results on the existence of coincidence and fixed points for multi-valued and single valued mappings extending the result of Feng and Liu [2] and Liu et.al [5]. It is also proved with counter example that our results generalize and extend some well known results. Key Words: common fixed point, Coincidence point, multi-valued mappings

LoRa Based Vehicular Communications

Past few years road traffic is increasing at an alarming rate. Traffic congestion, wasted time at traffic lights, and increased air pollution is part of the consequences of increased traffic. Traditionally the traffic lights are not smart and the communication between them is also not happening. Cooperative navigation and monitoring can be easily done by the inclusion of LORA Technology in Vehicular communication. With the help of LoRa technology, the Low Power consumption network can be established for large coverage area. In this paper authors analyze the LoRa- based traffic and the emergency vehicle detection scheme. We conduct the Performance analysis of the LoRa technology using the experimental and simulated setup in urban mobility environment. We also conduct field test on two scenarios along with the simulation done using network simulator NS-3 simulations. The result determines the effect of the Spreading factor SF used in analyzing the RSSI and PDR as the metrics of interest

Analysis of Recommended Weight Limit to Mitigate the Lower Back Pain in Manual Material Handling Task

In this paper Authors have tried to calculate the revised Recommended Weight Limit (RWL) on the basis of revised Load constant (LC), Horizontal Multiplier (HM), Vertical Multiplier (VM) which are calculated according to the collected data from industry. While their average value had been considered in National institute for occupational safety &health (NIOSH) lifting equation. Thought behind this was that person’s age, obesity and height can not be taken constant Authors have applied the new approaches for setting limits of LC, HM, VM for optimizing the value of RWL of workers who work in industry. The approach may probably lead to calculate the safe weight for lifting and lowering in manual material handling task. It is expected that such an approach may be more protective for workers in manual material handling

Rapid mapping of digital integrated circuit logic gates via multi-spectral backside imaging

Modern semiconductor integrated circuits are increasingly fabricated at untrusted third party foundries. There now exist myriad security threats of malicious tampering at the hardware level and hence a clear and pressing need for new tools that enable rapid, robust and low-cost validation of circuit layouts. Optical backside imaging offers an attractive platform, but its limited resolution and throughput cannot cope with the nanoscale sizes of modern circuitry and the need to image over a large area. We propose and demonstrate a multi-spectral imaging approach to overcome these obstacles by identifying key circuit elements on the basis of their spectral response. This obviates the need to directly image the nanoscale components that define them, thereby relaxing resolution and spatial sampling requirements by 1 and 2 - 4 orders of magnitude respectively. Our results directly address critical security needs in the integrated circuit supply chain and highlight the potential of spectroscopic techniques to address fundamental resolution obstacles caused by the need to image ever shrinking feature sizes in semiconductor integrated circuits

A brief study on zinc oxide based nanosorbents and adsorptive removal of heavy metal ions

The liquid waste streams releases from industrial sectors contain numerous inorganic and organic pollutants. These pollutants may be heavy metals and synthetic dyes. Metal oxide based nanomaterials have been used in the removal of such pollutants from waste water by using adsorption techniques. The adsorption based removal of heavy metals is found good alternative over other conventional methods. ZnO nanoparticle based adsorbents have been utilised in the removal different heavy metal ions from waste water. These adsorbents are generally prepared by the incorporation of organic or inorganic materials with ZnO nanoparticles. In this brief review, we will be discussed about different ZnO based nanomaterials which potentially utilised in treatment of waste water containing heavy metals