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Research Paper

Domination of online education over traditional education

Online versus traditional education

Published by: Dr. Jitendra Kaur

Author: Dr. Jitendra Kaur

Paper ID: V7I3-1246

Paper Status: published

Published: May 11, 2021

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Research Paper

Evaluation of free radical scavenging activity and skin whitening potential of cyanobacteria

In day-to-day life, our skin is exposed to various chemicals, environmental pollution, and UV radiation which results in the early onset of photoaging and skin darkening. There is increased demand for skin whitening cosmetics for skin protection as well as aesthetic looks. The current skin whitening agents used in cosmetic industries have adverse effects on the skin. There is increased demand for natural active agents as a skin whitening agent. Cyanobacteria are ubiquitous in nature and quickly adopt different environments.1 Alga produce various secondary metabolites like carotenoids, phenolics, flavonoids, MAA (mycosporine-like amino acids) which are antioxidants in nature and have therapeutic potential in the pharmaceutical and cosmetic industry2. This study focuses on the isolation and characterization of cyanobacteria from different environmental niches. The antioxidant potential of whole-cell extracts of cyanobacteria was evaluated using DPPH inhibition assay and ABTS assay. Their potential application as a skin whitening agent was studied by anti-tyrosinase activity using the mushroom tyrosinase enzyme. The tyrosinase inhibition activity of cyanobacterial isolates was observed in the range of 30 to 40%. They have good antioxidant potential. They are rich in carbohydrate, protein, and lipid content indicate the potential of the cyanobacterial extracts so they have potential in the cosmetic and pharmaceutical industries.

Published by: Shraddha Ratnaparkhe, Devyani Mali, Dr. Bela Nabar

Author: Shraddha Ratnaparkhe

Paper ID: V7I3-1250

Paper Status: published

Published: May 11, 2021

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Research Paper

Underwater image enhancement using improved Particle Swarm Optimization

The underwater images are used for monitoring the underwater pipelines and aquaculture. However, obtaining a clear image is a difficult task due to light scattering and absorption issues. Due to these issues, a very low contrast, blur, and color distortion underwater image is obtained. To overcome these issues, enhancement algorithms have been designed. In the literature, conventional algorithms are used for enhancement purposes are histogram equalization, stretching, and power-law expression. However, these algorithms over-enhance the images if proper parameters are not taken under consideration. Therefore, swarm-based optimization algorithms have been used to determine the optimal values of these parameters. In this paper, we have designed an improved particle swarm optimization-based enhancement algorithm. In the proposed method, initially, pre-processing of the underwater image is done and its channels are extracted. After that, based on the mean values of the channels, the channels are classified into three types, namely, superior, intermediate, and inferior. Based on the superior channel, gain factors are determined and enhance the intermediate and inferior channels. Next, the power-law expression is applied to the inferior and intermediate channels to enhances its gamma value. The gamma value in the proposed algorithm is determined using an improved particle swarm optimization (PSO) algorithm. In the improved PSO algorithm, the initial population of the PSO algorithm is defined using a chaotic map algorithm therefore PSO algorithm does not fall into the local optimal solution. In the last, contrast-limited adaptive histogram equalization (CLAHE) for enhancement. The experimental results are performed for the standard dataset images and simulated in MATLAB. Further, qualitative and quantitative analysis is done for the proposed algorithm. The results show that the proposed algorithm is superior as compared to the existing algorithms

Published by: Sanjeev Kumar, Sarabjeet Kaur

Author: Sanjeev Kumar

Paper ID: V7I3-1170

Paper Status: published

Published: May 11, 2021

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Research Paper

Online-Fraud Detection, Web-Scraped Dataset Analysis and Algorithm Performance Evaluation

The volume of online information transfer has raised significantly in past few years. It is mainly due to various online portals that are currently one of the primary sources used by people. It is not always the case that the information found online is correct unless gained through some trusted and verified source. This is the reason why the user falls victim in the hands of false media. The term “Click-Bait” and “Fake News” are heard several times but people are unaware of the harm it is causing. The paper incorporates a Novel Neural Network Approach where Headlines are specifically taken into consideration. The model is tested for various types of headlines included in the Dataset. The proposed system is not only tested for Click-Bait Datasets collected from various news sites but also web-scraped data. Considerable results are obtained in terms of Accuracy, F1-score, Precision and Recall.

Published by: Anam Khan, Dr. Megharani Patil

Author: Anam Khan

Paper ID: V7I3-1241

Paper Status: published

Published: May 10, 2021

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Research Paper

Embedded system design for the forced circulation system

In today’s world, most people are shifting towards renewable energy resources like solar which is globally accepted. The Forced Circulation Solar Water Heater System is not well-known but is one of the efficient types of water heater systems. In our country, such a system uses old techniques and is also costly. But we had upgraded it using an Embedded design which is much better in the economical and easy upgrade.

Published by: Suhas D. Gokhale, Udayraj Vasudev Miraje, Shubham Sanjay Miraje, Pratik Sanjeev Mali, Aditya Narayan Shedsale

Author: Suhas D. Gokhale

Paper ID: V7I3-1214

Paper Status: published

Published: May 10, 2021

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Review Paper

Role of the Fair-Trade Organisation on the status of women producers with respect to global trade

The fair-trade movement began in the year 1946, in America at the time when handicrafts were being imported. The concept of fair trade soon gained popularity in the U.S. and also spread to Europe. The foundation of the fair trade movement was based on the fact that the producers receive a fair price for their produce. FT program began with the handicrafts and soon expanded to other products like coffee, banana, sugar, tea, wine. It was in the mid-1980s when the model of fair trade came into the picture and at that time, progressive entrepreneurs including Paul Katzeff started importing coffee from Nicaragua so as to support the Sandinista farmers. The plight of the Nicaraguan farmers was such that they were suffering from starvation and malnutrition at the time when the U.S. boycotted their country’s goods. A national standard for fair trade certification came into existence which was founded in the year 1997 as an umbrella organization with the aim to collaborate and coordinate this system of fair trade across the world. In the backdrop of Fair Trade, the study aims to analyze the impact of the Fair-Trade Organization on the status of women producers in the field of global trade. It seeks to understand the role played by FTO in reducing the gender gap by taking into consideration the gender inequalities in global trade. Further, it focuses on the effectiveness of FTO in terms of the participation of women producers in global trade and also the benefits received by the women producers after its establishment. This study will help in better understanding the role played by Fairtrade in addressing the various issues faced by women producers and how effective it has been in reducing gender inequality in global trade.

Published by: Mansha Chawla

Author: Mansha Chawla

Paper ID: V7I3-1154

Paper Status: published

Published: May 10, 2021

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