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Research Paper

Formulation of Natural Mosquito Repellent

Medicinal plants contain numerous biologically active compounds which are helpful in improving the life and treatment of diseases and these are the primary source of synthetic and traditional herbal medicine. The presence of various life-sustaining constituents in plants made scientists investigate these plants for their uses. The objective of the work was to formulate a mosquito repellent product containing Curcumin and Embelin obtained from Curcuma longa and Embelia ribes respectively. Isolated Curcumin and Embelin were confirmed by TLC technique. Bands were compared with standards by calculating Rf 0.74 and 0.60 respectively at visual detection and 254 nm. The formulation of cream was evaluated for various parameters like smooth texture and spreadability with a pH 7 which is non-irritant and suitable for the skin. There is no phase separation during thermal stability. From the present work, it was concluded that 1% Curcumin and 1.5% Embelin containing cream is safe, effective, usable for the skin and stable too.

Published by: Dr. Sneha Agrawal, Nidhi Haldankar, Aniket Jadhav

Author: Dr. Sneha Agrawal

Paper ID: V4I1-1143

Paper Status: published

Published: January 3, 2018

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Review Paper

A Review Article of Fundamental Video Pre-processing Image Quality Enhancement Technique by Using Segmentation Approach

All Color image segmentation may be a terribly rising analysis topic within the space of color video frame extracting image analysis and video Quality sweetening. Several progressive algorithms are developed for this purpose. But, usually, the segmentation results of those algorithms appear to be laid low with miss classifications and over-segmentation. The explanations behind this are the degradation of video frame extracting image Quality throughout the acquisition, transmission and color area conversion. So, there arises the necessity of Associate in nursing economical image sweetening technique which might take away the redundant pixels or noises from the color image before continuing for final segmentation. During this paper, an endeavor has been created to check and analyze completely different image sweetening techniques and thereby checking out the higher one for color image segmentation. Also, this comparative study is finished on 2 well - known color areas HSV and color saturation on an individual basis to seek out that color area supports segmentation task additional expeditiously with relation to those sweetening techniques.

Published by: Baviskar Vaibhavkumar, S. R Goyal

Author: Baviskar Vaibhavkumar

Paper ID: V4I1-1136

Paper Status: published

Published: January 1, 2018

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Research Article

Stabilization of Black Cotton Soil Using Sodium Chloride

Stabilization is the process of physical and chemical alteration of soils to enhance their engineering properties and thus improving the load-bearing capacity of a sub-grade or a sub-base to support pavements and foundations. Sodium chloride has been used for many years as a stabilizing admixture in selected base course materials. Sodium chloride added to raw soil were found to have negligible effects on soil plasticity while increasing compacted density and decreasing optimum moisture content. In this project, the stability of soil is found out by adding Sodium chloride (Nacl) and thus compared with the stability of soil without adding Sodium chloride (Nacl) followed by different laboratory tests.

Published by: Ramkumar Guttikonda, Nadakuditi Abhilash

Author: Ramkumar Guttikonda

Paper ID: V4I1-1142

Paper Status: published

Published: January 1, 2018

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Review Paper

Rainfall Runoff Modelling Using Artificial Neural Network

The use of an artificial neural network (ANN) is becoming very common nowadays due to its ability to analyze complex nonlinear events. An ANN has a flexible, convenient and easy mathematical structure to identify the nonlinear relationships between input and output data sets. This capability could efficiently be employed for the different hydrological models such as rainfall-runoff models, which are inherently nonlinear in nature and therefore, representing their physical characteristics is challenging. In this paper, the influences of back propagation algorithm and their efficiencies which affect the input dimensions of the rainfall-runoff model have been demonstrated. The capability of the Artificial Neural Network with different input dimensions has been attempted and demonstrated with a case study on Sarada River Basin. The ANN models developed were able to map the relationship between input and output data sets used. The model developed on rainfall and runoff pattern have been calibrated and validated. The significant input variables for the training of ANN models were selected based on statistical parameters like cross-correlation, autocorrelation, and partial autocorrelation function. It was found that those models considering rainfall lag rainfall and discharge as inputs were performing better than those considering rainfall alone. It was found that the neural network model developed was performing well. It can be inferred from the developed model that the Neural Network model was able to predict runoff from rainfall data fairly well for a small semi-arid catchment area considered in the present study.

Published by: Danish Hussain, Ashraf Usmani, Deeak Kumar Verma, Farooq Jamal, Maaz Allah Khan

Author: Danish Hussain

Paper ID: V3I6-1457

Paper Status: published

Published: January 1, 2018

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Review Paper

Removal of NITROGEN from Industrial Effluent: A Review

Nitrates pollution of waters is a worldwide problem and its remediation is a big challenge from the technical and the scientific point of view. One of the most used and promising cleaning techniques is the biological treatment of wastewaters operated by bacteria. A freshwater microalgae Chlorella sp. was investigated for its ability to remove both nitrogen and phosphorus from influent. Amount of wastewater containing nitrogen is increasing in the environment due to industrialization.  It is necessary to remove nitrogen from waste as it causes eutrophication. The study was carried out to increase characteristics, efficiency and economy of wastewater by the low-cost microorganism.

Published by: Prexa Chhasatiya, Mansi Patel, Shubhi Sharma, Shailesh Vekariya, Ajaz Shaikh, Anjali S. Nair

Author: Prexa Chhasatiya

Paper ID: V3I6-1507

Paper Status: published

Published: December 30, 2017

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Research Paper

A Proposed Framework for Realtime Monitoring of Speed and Location of a Vehicle

The working man commutes to work and other destinations on a daily basis by various means of transport. One such popular means is by the use of cabs. In cities, several companies enable such commuters to avail the services of daily vehicle hiring from one location to another. Safety of the passenger being the most important criteria, it is important for the fleet management company to be able to monitor the vehicle in which the passenger is seated, in real-time. Our research proposes a simulated system using a speed sensor and a GPS module and a microcontroller to fetch the data and view the vehicle’s speed and location coordinates on a smartphone.

Published by: Arya Kedarnath Padte, Ruhi Bajaj

Author: Arya Kedarnath Padte

Paper ID: V3I6-1514

Paper Status: published

Published: December 30, 2017

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