Antimicrobial textiles based on nanosilver
In recent years, Antimicrobial textiles have been an area of great research due to many of their desired properties like reducing infection transmission in the medical environment, enhanced performance, and improving odor control. Their basic feature is to protect the fabric from rotting caused by microbes. Antimicrobial textiles fulfill functions such as preventing cross-infection, arresting microbial metabolism, and protecting the textile from staining, discoloration, and quality deterioration.
Published by: Meenal Singh
Author: Meenal Singh
Paper ID: V7I4-1328
Paper Status: published
Published: July 14, 2021
Glycerol – An alternate energy source for livestock feeding
Glycerol, is being an attractive feed ingredient for cattle, is a by-product of a wide range of industrial applications. Glycerol has potential value in livestock feeding since it improves feed efficiency, metabolism, and can avoid ketosis. Research indicates that glycerol can be a suitable partial grain replacement in the diet of cows during the transition period and at early lactation. The impact on milk yield is not significant, but glycerol mostly decreases milk fat content. The inclusion of glycerol in the dairy ration has an effect on ruminal fermentation patterns. Glycerol is rapidly fermented in the rumen into propionate, and it is metabolized to glucose in the liver through the process of glycogenolysis, additionally, glycerol administration to ruminants can reduce greenhouse gas emissions. The purpose of this review is to highlight the potential benefits and drawbacks related to the use of glycerol in cattle. Glycerol, from biodiesel Industries, must be purified in order to make it a useful product for livestock feeding. The use of glycerol in ruminant nutrition can be justified for several reasons: (i) as a source of energy, (ii) as a glycogenic precursor, and (iii) it may have an effect on milk composition. The high energy value of glycerol provides the opportunity to use it as a partial substitute for grain in dairy rations. Supplementation of glycerol in dairy animals' diets is associated with increased propionate, butyrate, valerate, and isovalerate concentrations in the rumen. Glycerol can be used as 10%–15% of the dietary dry matter (DM) and is a well-established tool for treatment for ketosis in cows. Glycerol increases plasma glucose and may reduce non-esterified fatty acids and hydroxybutyrate levels. The dietary supplementation of glycerol does not have a direct effect on DM intake, milk yield, or milk composition. However, some researchers reported an increase in milk yield after glycerol supplementation associated with decreased milk fat concentration. It is also possible that the concentration in the milk of odd-chain fatty acids and cis-9, trans-11 conjugated linoleic acid may increase after glycerol application.
Published by: Mukesh Sharma, Dr. Manoj Gendley, Dr. Kranti Sharma
Author: Mukesh Sharma
Paper ID: V7I4-1356
Paper Status: published
Published: July 14, 2021
Effect of COVID-19 on consumer behavior in the corporate sector
The coronavirus pandemic has made the longest lockdown ever in the world in history. This pandemic has affected all the human health, food chains, international businesses, companies, global economy as well as it impacts on the behaviour of the consumers. As all the offline stores were closed during the lockdown, a large number of consumers are using online stores to fulfil their needs. In that pandemic situation, purchasing of most products from online stores increased about 6-10% in all over the world. Therefore, the pandemic has increased the use of digital platforms and consumer behaviour has a large impact of covid19. Consumer behaviour helps the marketers to gain knowledge about the expectations of the customers and it makes successful business as the organization provides products according to the customers’ needs. Therefore, consumer behaviour led to an impact of making successful business.
Published by: Priya Nair, Anirrban Ghosh, Sanjay Rao
Author: Priya Nair
Paper ID: V7I4-1350
Paper Status: published
Published: July 14, 2021
Phishing website detection using Machine Learning
Today internet or websites plays a major role in every person's life. Almost Every sector using the website services like the banking sector using some apps for payment, the passport sector is using for registration and renewal of passport, the government sector for application of PAN cards, adhar cards, etc. This makes human life simpler. But this provides an opportunity to make phishing websites. Phishing websites are the same as legitimate or real websites. The purpose of the phishers is to steal their personal information, account ID, Passwords from individuals and organizations. They even add some tricks by asking security questions like a pet name, city name to gain users' trust. Although legitimate and phishing looks like same there are some features that make difference between that two things. That features such as IP address, URL length, having @ symbol, double slash redirection, Prefix, and suffix, having subdomain, domain registration link, HTTPS tokens, Request URL, URL of anchor, disabling right-click, using a pop-up window, and some more. Already many approaches are proposed for detecting phishing websites machine learning is the most appropriate one. This is because there are some common features that can be identified by machine learning. In this paper, we used a random forest algorithm to detect phishing websites based on features that make difference between both of the websites.
Published by: R. Dhatri, N. Shafiyabi, U. Nithish, P. Vamsi, K. Subrahmanya Kousik
Author: R. Dhatri
Paper ID: V7I4-1324
Paper Status: published
Published: July 14, 2021
Enhanced Security implementation in IoT
This research paper is about implementing security protocols in IoT. IoT devices are tremendously getting popularity and are in used frequently by users. Security is more critical in IoT. Here we are using a privacy mechanism approach is Attribute-Based Encryption (ABE). A public-key encryption approach that enables smooth access control, scalable key management, and flexible data distribution. We concern with two types of ABE, B Key-Policy Attribute-Based Encryption (KP-ABE) and Ciphertext-Policy Attribute-Based Encryption (CP-ABE) are the best for secured use of IoT. The main focus of this implementation is to applying security to the pub-sub architecture using KP-ABE. KP-ABE mechanism. We are implementing AES cryptography on the payload. By use of cipher key to generate dynamic S-Box which is changing with every changing of the cipher key. That results in cryptographic strength.
Published by: Punam Mahendra Lokhande
Author: Punam Mahendra Lokhande
Paper ID: V7I4-1321
Paper Status: published
Published: July 14, 2021
Remote control tool to test the interfaces of IoT hub
The proposed Remote-Control service tool allows remote connection of the medical devices with the IoT hub software. The hub provides proactive services to the associate devices and these devices are connected to the hub via the proposed tool. The tool realizes the features offered by the hub and is capable of performing registration of the associate devices via unique identification numbers such as the serial number and material number, or the system identifier along with attribute update feature. The tool is deployed via the CICD pipeline using Azure DevOps. The functional correctness of the code and its comprehensive analysis are done by unit testing and generation of code coverage report respectively.
Published by: Shreevidya S., Nagaraju P., Manoj Kumar Podha
Author: Shreevidya S.
Paper ID: V7I4-1315
Paper Status: published
Published: July 14, 2021
