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Review Paper

Review of wave energy extraction technologies and current state of the art

In renewable technologies, ocean wave energy extraction tech is in the early development phase, especially wave power extraction technology. To extract power from waves, a generator with moving parts is used to change wave energy into mechanical energy. Now floating systems and designs that can take benefit of PE and KE are also developed. The main aim and objective of this research article are to make a complete understanding of ocean wave energy extraction technologies. This article will also tackle the potential and consumption that wave energy. This article will also explain the different energy conversion projects at different levels around the world.

Published by: Sarmad Iqbal, Muhammad Abubakar

Author: Sarmad Iqbal

Paper ID: V5I6-1302

Paper Status: published

Published: January 3, 2020

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Research Paper

HPTLC and In vitro Cytotoxicity studies of Carica papaya leaf Extracts

The use of plants in medicines has been prevalent since ancient times. Recent advances in Biotechnology have helped in the validation of their potential as drugs for the treatment of numerous diseases. Various parts of the Carica papaya, popularly grown for their fruits have also been used as ethnomedicine for a number of ailments like diabetes, indigestion, viral infections, and menstrual pain. The present study focusses on the preparation of extracts from the leaves of Male, Female and Hermaphrodite Carica papaya plants using solvents of varying polarities. The solvent was removed from the extract using a Rotary Vacuum Evaporator. A comparative study of the HPTLC analysis of these extracts revealed that the Leaf Extracts of Hermaphrodite Carica papaya plants had the maximum number of compounds present in them. In vitro cytotoxicity studies of the shortlisted extracts done using MTT assay on BHK-21 cells. The leaf extracts of Hermaphrodite Carica papaya plants showed no sign of toxicity up to a concentration of 100 µg/ ml, hence proves them to be safe for therapeutic use.

Published by: Praseeda Nambisan, Dr. Siddhivinayak Barve

Author: Praseeda Nambisan

Paper ID: V5I6-1304

Paper Status: published

Published: January 2, 2020

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Research Paper

Analytical method validation of acetamiprid+ bifenthrin formulation by Reverse Phase High Performance Liquid Chromatography (R-HPLC)

Many types of combinations of pesticides are being used effectively as insecticide, weedicide, growth regulators and may other applications successfully. To control termites and insecticide these combinations of acetamiprid and bifenthrin are being used effectively in the plant kingdom. Acetamiprid is an organic compound basically and the bifenthrin is and pyrethroid molecule. These molecules are being used as an insecticide; even though chemically different in nature. These molecules in different concentrations and combinations are being used over 100 countries; it is very important to detect and quantify with lesser time and cost-effective. This HPLC method is a simple method to quantify these two molecules within 17 minutes. The simple HPLC analytical method is a reversed-phase chromatography principle by using acetonitrile and 1% Ortho Phosphoric Acid (OPA) in the HPLC grade water 80:20 ratio. In this method Shimadzu C18 column is used with the dimension as 250mm length; 4.6 mm dimension and 5μm silica particle size packed. The detection was carried out at 210nm, with the Shimadzu detector supported with LC solution software. In this method, these acetamiprid was eluted at 3.6 minutes and the bifenthrin was eluted at 2.7 minutes. This analytical method was complying with all the validation parameters of SANCO 3029; version 4 and ICH guidelines.

Published by: Dr. K. Ayyavoo, Dr. C. Tamilselvan

Author: Dr. K. Ayyavoo

Paper ID: V5I6-1294

Paper Status: published

Published: December 30, 2019

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Research Paper

Efficient job scheduling algorithm based on weighted average priority in cloud computing

In cloud computing, the issue of the scheduling of job is the greatest and testing issue. There are numerous algorithms for scheduling available that are utilized in the environment of cloud computing for better resource scheduling. Scheduling is assigning fundamentally number of resources to the tasks in a manner that there will be maximum utilization of resource, minimum time for total processing and minimum time of waiting. The basic aim of this paper is to study and analyze the various scheduling algorithms in cloud computing, to develop an improved task scheduling using QoS parameters of Virtual machines and priorities of the task based on the deadline, to compare the results of the proposed scheduling technique with the existing multi-objective task Scheduling technique. The proposed methodology is implemented with the help of Cloudsim and NetbeansIDE8.0. CloudSim is the library that provides the simulation environment of cloud computing and also provides primary classes describing virtual machines, data centers, users and applications.

Published by: Rabinder Kaur, Arshdeep Kaur

Author: Rabinder Kaur

Paper ID: V5I6-1291

Paper Status: published

Published: December 30, 2019

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Research Paper

Turbocharger selection and energy analysis of MGU-H for commercial vehicles

This paper presents the Regenerative turbocharging which is basically electrically assisted turbocharging. This system aims to improvise two primary parameters of the turbocharger; namely performance and turbocharging. In this system, an electric motor coupled with a battery is added to the standard turbo setup, the motor is attached to the same shaft as the turbo impellers. When there is wastegate exhaust, the turbo rotates the motor, thus making it act like a generator which in turn charges the battery. This energy can later be used to rotate the motor, which will, in turn, boost the turbo, in situations of turbo lag, and low RPM, in the low end. The proposed system thus improves performance by eliminating turbo lag and also makes the engine energy efficient.

Published by: Kuber Lohakare, Ashwin Malushte

Author: Kuber Lohakare

Paper ID: V5I6-1303

Paper Status: published

Published: December 30, 2019

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Research Paper

Liver enzymes in patients with Type 2 Diabetes Mellitus: A cross sectional study

Type 2 diabetes patients will have a higher incidence of abnormal liver enzymes than individuals who do not have diabetes Aminotransferases, such as alanine aminotransferase and aspartate aminotransferase serve as a marker of hepatocyte injury. Alkaline phosphatase, γ-glutamyl transpeptidase, and bilirubin act as markers of biliary function and cholestasis. Albumin and prothrombin reflect liver synthetic function. The aim of our study was to assess the profile of liver enzymes in subjects with T2DM. Materials and methods: It is a cross-sectional study, where 100 Type 2 diabetes patients attending the Medical OP, NRI General Hospital aged between 40 – 69 yrs were included in the study. The blood sample was collected from all the patients to analyze FPG, PPPG and liver enzymes. The data were analyzed and presented as means ± SD. Statistical analyses were done using t-tests, Pearson’s correlation. P < 0.05 was considered significant. Results: In 47% of Type 2 diabetes patient’s elevated liver enzymes were seen. Mean levels of liver enzymes were higher in men than those in women (26.0 ± 24.8 vs. 21.4 ± 16.0 IU/l in AST, 32.8 ± 20.1 vs. 26.3 ± 13.1 IU/l in ALT), but in ALP, bilirubin and albumin levels there is no mean elevation and no significant difference between male and female. Conclusion: In this study, we found the highest incidence of mildly elevated transaminases in Type 2 diabetes patients. Increased activity of liver enzymes, particularly ALT was associated with an increase in developing insulin resistance and further makes diabetes worsen. So, the estimation of liver enzymes in Type 2 diabetes patients may be helpful in treatment process.

Published by: V. Siva Prabodh, G Srikanth Reddy

Author: V. Siva Prabodh

Paper ID: V5I6-1301

Paper Status: published

Published: December 30, 2019

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