Optimization of Loaded Meshed Face Gears Design using Genetic Algorithm

This paper present the design strategy for optimization of loaded meshed face gear set. Genetic algorithms are being widely used for optimization, search and neural network synthesis. A lot of work has been conducted using genetic algorithm for different engineering problems related to scheduling and process planning in industrial engineering, network optimization in computer engineering. The work dissertation deals with the optimization of loaded meshed face gear sets using genetic algorithm. Attention is focused on reducing the pressure of gear set subjected to constraints on the maximum pressure, contact location, pressure at slice 1 and pressure at slice 11. The optimum gear set using Genetic Algorithm calculate the pressure. Keywords:Genetic algorithm, loaded meshed face gear, optimization

Applicability and Realization of Security in Leach Protocol in WSNs

WSN is a collaborative network of a large number of loosely connected nodes. The intense deployment of such networks over varied topographic regions ranging from a few meters to several hundreds of kilometres is feasible by setting up small, low cost devices which are capable of monitoring the physical world around them by collecting status information and then converting this into radio signals. These signals are then transmitted to a local sink. Keywords: WSNs, Leach, Noad etc

Computer Govern Maintenance System for a Process Industry

The present paper deals with development of Computer Govern Maintenance System (CGMS) for a Process Industry. The developed software is easy to use, less complicated, less costly and less time consuming and consisting of number of modules like detailed information of equipment,  procedures of maintenance tasks, employees, work order, and calendar facility etc. The software has been developed in Microsoft Visual Studio.NET. The development of CGMS Software i.e. ‘IOCL CGMS’ at “IOCL Panipat   Refinery”, Panipat, may furnish good results. The currently developed CGMS aims to reduce total downtime, overall annual maintenance cost, frequency of failures of the machines, to get day-by-day maintenance schedule, maintenance policy. Keyword   : Computer Govern Maintenance System, Maintenance Schedule, Maintenance Policy

Design and Develop of Sea Wave Power Plant

The energy of sea waves can be absorbed by wave energy converters in a variety of manners, but in every case the transferred power is highly fluctuating in several time-scales, especially the wave-to-wave or the wave group time-scales. In most devices developed or considered so far, the final product is electrical energy to be supplied to a grid. This paper discusses the use of sea wave energy with the help of oscillating column. The mechanism converts the wave energy in to electrical power by converting the oscillating motion of waves in to rotary motion. Using compression ring we can store the power produced by the impact. This stored energy can be utilized in other strokes. The sea, which covers three quarters of the world’s surface, has been little utilized to meet the peoples’ energy needs. Keywords: Wave Energy, Oscillating Column, Floating Column, Wave Spectrum, Pelton Turbine

Assessment of machinability of inconel 718: A comparative study of CVD & PVD coated tools

281-297This paper highlights the parametric appraisal in turning of inconel 718 using fuzzy inference system coupled with imperialistic competitive algorithm (ICA) approach. The machining variables such as spindle speed, feed rate and depth of cut have been taken into consideration to analyse their effect on evaluation characteristics viz. material removal rate (MRR), flank wear and surface roughness. Fuzzy inference system (FIS) has been used to integrate aforementioned evaluation characteristics into a single response known as multi performance characteristic index (MPCI) to address the issue of impreciseness and uncertainties involved in decision making. Mathematical models have also been proposed for MPCI using non-linear regression analysis which acts as an objective function in ICA. ICA is new meta-heuristic based on social political theory which is used to obtain global optimal parametric combination in machining of Inconel 718. The results indicate that single layer (single coating: AlTiN) physical vapour deposition (PVD) coated tool is more efficient as compared to multi-layered (four coatings: TiN, TiCN, Al2O3 and TiN) chemical vapour deposition (CVD) coated tool

Cervical fibroid: an uncommon presentation

Fibroids arising from cervix are rare tumours accounting for 2% of all fibroids. A cervical leiomyoma is commonly single and is either interstitial or subserous, rarely it becomes submucous and polypoidal. Anterior cervical fibroid may press on urinary bladder and urethra and displace the urethro-vesical junction giving rise to urinary frequency and retention. Management of symptomatic cervical fibroid is hysterectomy or myomectomy and need an expert hand. Here we report a case of huge anterior cervical fibroid of 15x15x7cm with an unusual presentation of menorrhagia of only 2 days and no urinary symptoms. Inspite of the fibroid being huge and impacted, hysterectomy was done successfully without any injury to bladder and ureters.

Effect of dexamethasone on newborn survival at different administration-to-birth intervals: A secondary analysis of the who action (Antenatal corticosteroids for improving outcomes in preterm newborn)-I trial

Background: The WHO ACTION-I trial demonstrated that dexamethasone significantly reduced neonatal mortality when administered to women at risk of early preterm birth in low-resource countries. We conducted a secondary analysis to determine how these benefits can be optimised, by evaluating the effect of dexamethasone compared to placebo on newborn mortality and severe respiratory distress outcomes at different administration-to-birth intervals, and identifying the interval with the greatest benefits.Methods: The WHO ACTION-I trial was a multi-country, individually-randomised, parallel-group, double-blind, placebo-controlled trial. It was conducted in 29 hospitals across Bangladesh, India, Kenya, Nigeria, and Pakistan. Women with a viable singleton or multiple pregnancy who presented to participating hospitals at a gestational age of 26 weeks 0 days-33 weeks 6 days and who were at risk of imminent preterm birth were eligible. In this secondary analysis, 2638 women and their newborns treated with single course of dexamethasone or placebo were analysed. Multivariate logistic regression was used to assess the effect of dexamethasone versus placebo on neonatal death, stillbirth or neonatal death, and severe respiratory distress at 24 h and at 168 h, by administration-to-birth interval (from 0 through 28 days), adjusting for gestational age at first dose. We used relative risks to identify the administration-to-birth interval with the greatest benefits of dexamethasone compared to placebo on the newborn outcomes.Findings: Between 24 December 2017 and 21 November 2019, 2852 women and their 3070 babies were enrolled in the WHO ACTION-I trial; 1332 women (1464 babies) in the dexamethasone group and 1306 women (1440 babies) in the placebo group were included in this secondary analysis. Neonatal mortality risk was lower with increasing time between initiating dexamethasone and birth, achieving peak mortality reduction by days 13 and 14 and then diminishing as the interval approached 28 days, regardless of gestational age at administration. For other outcomes, the overall pattern of risk reduction extending into the second week was consistent with that of neonatal death.Interpretation: In women at risk of preterm birth prior to 34 weeks\u27 gestation, the neonatal benefits of antenatal dexamethasone appear to increase with longer administration-to-birth intervals than previously thought. This knowledge can support clinical assessment and estimation of the risks of adverse preterm newborn outcomes at the time of birth, and the potential benefits of antenatal dexamethasone treatment for a known administration-to-birth interval.Funding: Bill and Melinda Gates Foundation; World Health Organization

Measurement of Recent Exposure to Phlebotomus argentipes, the Vector of Indian Visceral Leishmaniasis, by Using Human Antibody Responses to Sand Fly Saliva

Antibody (IgG) responses to the saliva of Phlebotomus argentipes were investigated using serum samples from regions of India endemic and non-endemic for visceral leishmaniasis (VL). By pre-adsorbing the sera against the saliva of the competing human-biting but non-VL vector P. papatasi, we significantly improved the specificity of a P. argentipes saliva enzyme-linked immunosorbent assay. Using this method, we observed a statistically significant correlation between antibodies to P. argenitpes saliva and the average indoor density of female sand flies. Additionally, the method was able to detect recent changes in vector exposure when sera from VL patients were assayed before, during, and after hospitalization and protected from sand fly bites under untreated bed nets. Collectively, these results highlight the utility of antibodies to P. argentipes saliva as an important tool to evaluate VL vector control programs

Longlasting insecticidal nets for prevention of Leishmania donovani infection in India and Nepal: paired cluster randomised trial

Objective To test the effectiveness of large scale distribution of longlasting nets treated with insecticide in reducing the incidence of visceral leishmaniasis in India and Nepal