Performance analysis of smart optimization antenna for wireless networks

Antenna design has significantly advanced as a result of the widespread need for wireless communications and data substitution through wireless devices. The research article's goal is to provide a conceptual framework, difficulties, and opportunities for a source as well as a general overview of the antenna used in wireless communications applications. In this proposed research, we will go over a variety of topics related to mobile communication and fifth generation (5G) technologies, including its pros and benefits. A thorough comparison between the expected properties of the antennas and each generation, from 1st generation (1G) to 5G, is also included. This article also provides an overview of the investigated 5G technologies and various antenna designs

Forecasting Gold Prices Based on Extreme Learning Machine

In recent years, the investors pay major attention to invest in gold market ecause of huge profits in the future. Gold is the only commodity which maintains ts value even in the economic and financial crisis. Also, the gold prices are closely elated with other commodities. The future gold price prediction becomes the warning ystem for the investors due to unforeseen risk in the market. Hence, an accurate gold rice forecasting is required to foresee the business trends. This paper concentrates on orecasting the future gold prices from four commodities like historical data’s of gold rices, silver prices, Crude oil prices, Standard and Poor’s 500 stock index (S&P500) ndex and foreign exchange rate. The period used for the study is from 1st January 000 to 31st April 2014. In this paper, a learning algorithm for single hidden layered eed forward neural networks called Extreme Learning Machine (ELM) is used which as good learning ability. Also, this study compares the five models namely Feed orward networks without feedback, Feed forward back propagation networks, Radial asis function, ELMAN networks and ELM learning model. The results prove that he ELM learning performs better than the other methods

AN EPIDEMIOLOGICAL STUDY ON DEADLY DRUG-DEFYING UNTREATABLE CARBAPENEM-RESISTANT GRAM-NEGATIVE BACTERIA ENCOUNTERED IN SOUTH INDIA

AbstractBackground/Purpose: The rise of deadly superbugs†among the pathogenic bacterial community is becoming a serious threat and the most centered concern in the field of Clinical Microbiology. The aim of this study was to investigate the epidemiological report on the current scenario of the Multi Drug Resistance (MDR) and Extensive Drug Resistance (XDR) characteristics of the frequent clinical isolates in South India.Methods: In this study, isolates were analyzed using standard microbiological techniques for a 3 months period (January 2013 to March 2013). Antimicrobial susceptibility test in accordance with Clinical Laboratory Standards Institute guidelines (MICRO S23) 2013 were conducted.  Resistant pattern analysis was done using penicillin, aminoglycosides, monobactam, cephalosporins, quinolones, carbapenems, tetracyclines, amphenicols, sulfonamides, and nitrofurantoin classes.Results: The highest frequency of MDR characters was owned equally by both the Escherichia coli and Klebsiella sp. with 29% resistance. However, Acinetobacter sp., among the MDRs, though it contributed to only 6% prevalence, it exhibited 100% resistance toward carbapenems compared to all other organisms. Our study revealed that the prevalence of carbapenem-resistant gram-negative bacteria in South India is 21.42%.Conclusion: This study mainly underlines the increasing resistance in gram-negative bacteria to carbapenem with the data analysis over a 3-months period. This epidemiological report also insists on the dissemination of multidrug resistance among Gram-negative bacteria in the South India. Hence, our team is working on the data for the similar period in the coming years also for having a strong hold on the status of MDR and XDR each year.KEYWORDS: Antibiotic resistance; Epidemiology; Extreme drug-resistant gram-negative bacteria; Multidrug-resistant gram-negative bacteria; Resistance patter

Investigation on thermophysical properties of multi-walled carbon nanotubes enhanced salt hydrate phase change material

Thermal Energy Storage (TES) is a valuable tool for improving the energy efficiency of renewable energy conversion systems. One of the most effective methods for harnessing thermal energy from solar sources is through energy storage using phase change materials (PCMs). However, the thermal performance of PCMs is hindered by their low thermal conductivity. This research focuses on enhancing the thermal performance of salt hydrate PCM using multi-walled carbon nanotubes (MWCNTs) and surfactants. Through experimental investigations, a salt hydrate PCM with varying concentrations of MWCNTs (ranging from 0.1% to 0.9%) was prepared using a two-step technique and their thermophysical properties were thoroughly characterized. Various techniques such as field emission scanning electron microscope, thermal conductivity analyzer, ultraviolet-visible spectrum, thermogravimetric analyzer, and Fourier transform infrared spectroscopy were utilized to study the effect of surfactant on the nanocomposites and examine their morphology, thermal conductivity, optical properties, thermal stability, and chemical stability. The results indicated that the inclusion of MWCNTs with salt hydrate significantly improved the thermal conductivity by 68.09% at a concentration of 0.7 wt %, compared to pure salt hydrate. However, this enhancement in thermal performance was accompanied by a reduction in optical transmittance in the developed nanocomposite PCM. Additionally, the formulated nanocomposite demonstrated excellent thermal and chemical stability up to temperatures as high as 468 °C. As a result, this nanocomposite shows great promise as a potential candidate for solar TES applications, offering favourable characteristics for efficient energy storage from solar sources

Harnessing nature’s ingenuity: A comprehensive exploration of nanocellulose from production to cutting-edge applications in engineering and sciences

Primary material supply is the heart of engineering and sciences. The depletion of natural resources and an increase in the human population by a billion in 13 to 15 years pose a critical concern regarding the sustainability of these materials; therefore, functionalizing renewable materials, such as nanocellulose, by possibly exploiting their properties for various practical applications, has been undertaken worldwide. Nanocellulose has emerged as a dominant green natural material with attractive and tailorable physicochemical properties, is renewable and sustainable, and shows biocompatibility and tunable surface properties. Nanocellulose is derived from cellulose, the most abundant polymer in nature with the remarkable properties of nanomaterials. This article provides a comprehensive overview of the methods used for nanocellulose preparation, structure–property and structure–property correlations, and the application of nanocellulose and its nanocomposite materials. This article differentiates the classification of nanocellulose, provides a brief account of the production methods that have been developed for isolating nanocellulose, highlights a range of unique properties of nanocellulose that have been extracted from different kinds of experiments and studies, and elaborates on nanocellulose potential applications in various areas. The present review is anticipated to provide the readers with the progress and knowledge related to nanocellulose. Pushing the boundaries of nanocellulose further into cutting-edge applications will be of particular interest in the future, especially as cost-effective commercial sources of nanocellulose continue to emerge