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Research Paper

Enhance data hiding capacity and reduce variability using image steganography for smart grid

In the Smart Grid (SG) network, the sensitive data is communicated over the network and it prone to attacks. In order to overcome these attacks, security algorithms like cryptography and steganography are used. Steganography algorithms provide imperceptibility by hiding the secret data in the cover image whereas cryptography algorithms scramble the data using a private key and scramble data gives attention to the attacker. In steganography, the Least Significant Bit (LSB) is the most preferred data hiding algorithm. In the LSB algorithm, the data is split into 1-bit chunks and hide in the cover image LSB bit. The LSB algorithm provides less variability with less embedding capacity. In this paper, we have designed an algorithm that provides better embedding capacity and lesser variability. Initially, the cover pixel read is read and its intermediate bits 5th and 6th are taken as a reference to hiding k-bits of data using the LSB algorithm. The benefit of taking the intermediate bits of the cover pixel as a reference is that no need to communicate reference bits information with the receiver. After that, the LSB bit of the stego image generated after data hiding is circularly rotated in order to reduce the variability. The experimental results were performed on the standard dataset images and various performance metrics calculated for it. Lastly, the proposed algorithm is compared with the existing algorithms and found that the proposed algorithm achieves randomness and better embedding capacity.

Published by: Muzamil Lateef Wagay, Puneet Jain

Author: Muzamil Lateef Wagay

Paper ID: V7I1-1180

Paper Status: published

Published: January 22, 2021

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Research Paper

COVID-19 prediction and analysis of spreading rate

Covid-19 Disease started at the End of 2019 in china Wuhan city and Then spread in the whole world within three to four-month. The Coronavirus Disease-2019 (COVID-19) badly impacts the health and well-being of the Indians and the global population. The number of positive cases of Covid-19 on a daily basis is increasing and it’s created a lot of stress on governing bodies across the globe and they are finding it difficult to tackle the situation so they can handle the situation effectively. For solving this problem. We developed a COVID-19 Prediction And Analysis Of Spreading Rate system for every state and union territory of India. The purpose of the prediction model is to forecast the count of new cases likely to arise for successive 5 days using RNN and LSTM machine learning algorithms. A set of models for predicting the rise in new cases, having an average accuracy of 87.9% some time it will go above 90%. It was developed for every state and union territory of India. The highest accuracy of 93.93% was achieved for some states because of the availability of sufficient Data. For Eg. Maharashtra, Delhi. A data-driven approach with higher accuracy as here are often very useful for a proactive response from the govt and citizens. Through this project. we want to achieve our goal. Like 1.Analyzing the Spreading rate 2.Analyzing the recovery rate and mortality rate.3.Predicting future spreading rate for next 5 successive day.

Published by: Sumit Rasal, Rahul Mali, Ganesh Kannor, Danish Majeed, Shubham Patil, Sunita Nandgave

Author: Sumit Rasal

Paper ID: V7I1-1170

Paper Status: published

Published: January 21, 2021

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Research Paper

Effect of cereals diet on the life cycle of Corcyra Cephalonia under laboratory condition in Rajnandgaon

An experiment was conducted from December 2018 to March 2019 in the Biological Control laboratory, CHRS, Rajnandgaon at 26 ± 1ºC, RH 60 ± 10%. The studies on the life cycle of C. cephalonica reared on different cereals diets were observed in the terms of fecundity, Incubation period, larval period, pupal period, longevity, total life cycle, and morphological measurement of full-grown larvae. The results observed that the diet media sweet corn (100%) was the best media for mass production of C. cephalonica due to their short incubation period, short larval period, short pupal period, short male and female longevity, and short male and female total life cycle with 4.73, 24.20, 8.27, (3.00 and 4.67) and (40.20 and 41.87) days and followed by the second-best and cheapest diet media maize (100%) with 5.20, 32.00, 8.53,(3.07 and 5.33) and (48.80 and 51.06) days, respectively. High fecundity (255.60 no. of eggs/female), maximum larval length (12.75 mm), and weight (26.07 mg) was observed in sweet corn (100%) followed by maize (100%) with fecundity 250 no. of eggs/female, 12.15 mm larval length and 21.93 mg larval weight.

Published by: M. K. Chandrakar, B. S. Asati, S. Sahu

Author: M. K. Chandrakar

Paper ID: V7I1-1159

Paper Status: published

Published: January 21, 2021

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Research Paper

Analysis and design of Lacing, Slab base, and Concrete Pedestal for Industrial Steel Structure by Using Software Package STAAD PRO.V8i.

The conception of project evaluation as well as the development of steel structures is the very up-to-date version in the civil engineering area. It is needed to model a steel structure but if it is also examined through its sculpting then there will not be any prospects of malfunction. The firmness constituent consists of two main elements laced and tied should, where feasible, have a radius of gyration about the axis perpendicular to the plane of lacing not less than the radius of gyration at right angles to that axis. The base plates are intended to withstand the axial load, horizontal shear, or external moments transmitted through the column and must be able to securely transfer the same to the groundwork. Pedestals are generally substantially overdesigned since the rise in materials is more than compensated by reduced project time and the value of the accumulated safety aspect. In this project work, general building data is adopted for the study and is well analyzed and designed. The project was undertaken at the Belagavi location. The assessment and planning were done corresponding to the standard design to the potential extend. The assessment of structure was done using the software package STAAD PRO.V8i. All the structural components were designed manually.

Published by: Rohan S. Mutnal

Author: Rohan S. Mutnal

Paper ID: V6I6-1261

Paper Status: published

Published: January 20, 2021

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Research Paper

Proposal, testing and functioning of an android application smart prototype -SuFI to offer food conveyance

According to the survey made in India, there is no platform that provides the feature providing food 24/7 from mess/food stalls/homemakers. The main idea behind the project is to deliver food 24/7 ranging from roadside food stalls to five-star hotels to the customers. This also includes the feature of providing employment to home food makers and also to the delivery person. In India, it has been seen that in many of the functions and parties the remaining food goes to the dustbin, and parallelly lakhs of people are dying because of undernourishment. So to overcome this situation another salient feature got added in this project ie Leftover Food Management – Providing leftover food parties and functions to the needy people to avoid undernourishment. As a solution, an android application Sufi is developed.

Published by: Sachin Badave

Author: Sachin Badave

Paper ID: V7I1-1184

Paper Status: published

Published: January 20, 2021

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Review Paper

COVID-19: A new highway for neurodegenerative diseases

It is not very often seen that a pandemic leading towards an epidemic, but here we are discussing how COVID-19 has the potential to trigger neurological disorders. Fascinating evidence demonstrated that COVID-19 infection is capable of modifying the spectrum of the clinical firm where neurological diseases are manifested due to the infection and also are responsible for the development of long-termed diseases. In this review, we will study how there is a latent relationship between COVID-19 and neurological disorders like Parkinson’s disease (PD), Alzheimer’s (AD), and multiple sclerosis (MS). Specifically, in multiple sclerosis more than age, neuroimmunology related factors influence the cause of this disease. Various studies have shown an association between neurological disorders and COVID-19. The important viewpoint here is to understand the SARS-CoV-2 causing infection which leads to the development of COVID-19 affecting neuro balance.

Published by: Ruth Bright Chirayath, Amiliya Paulson

Author: Ruth Bright Chirayath

Paper ID: V7I1-1174

Paper Status: published

Published: January 19, 2021

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