Manuscripts

Recent Papers

Research Paper

Electronic Voting Machine Based on IRIS Authentication

In every election, the commission is facing plenty of troubles and problems throughout the election. The foremost and familiar issue faced by the commission is inappropriate confirmation with relevance to the arrangement of casting the votes, duplication or illegal casting of votes. In this paper, a secure and new electoral system is developed to enhance the present legal system using iris recognition. Iris, one amongst the foremost secure biometric of person identification. The counting of vote is going to be immediately which makes voting process efficient, fast, and secure. There by can reduce the proxies drained the election system or electoral system and elect the right candidates as rulers. All details are updated to web server through IOT. The main goal of this article is to avoid duplication of casting votes.

Published by: M. K. Sivaranjani, S.Santhiya, S.Swathika, P.Ramya, G.Mohanavel

Author: M. K. Sivaranjani

Paper ID: V7I4-1700

Paper Status: published

Published: August 9, 2021

Full Details
Review Paper

Review on the effect of preparative parameters of spray pyrolysis technique on optical and electrical properties of Zinc Oxide thin film

The spray pyrolysis technique is one of the most widely used, simple, and inexpensive techniques to deposit thin films of various materials. The physio-chemical properties of these thin films are depending upon preparative parameters such as concentration of precursor solution, dopants, substrate temperature, spray rate, post-annealing treatments, etc. In this paper, an intensive review of the effect of preparative parameters on the optical and electrical properties of ZnO thin films deposited by the spray pyrolysis method has been presented. These properties of the thin film can be precisely controlled by optimizing the preparative parameters. ZnO due to its attractive optical and electrical properties plays an important role in various electronics, optoelectronics, biomedical and sensing applications.

Published by: Nikam S. V., B .T. Jadhav

Author: Nikam S. V.

Paper ID: V7I4-1682

Paper Status: published

Published: August 9, 2021

Full Details
Research Paper

Modeling and simulation of the electric vehicle coupled with battery and ultracapacitor

Electric vehicles boom in the market started after the improvement in the battery technology but the improvement needs to be enhanced further. An Electric Vehicle has zero greenhouse gas emissions compared to conventional ICE vehicles or Hybrid Electric Vehicles and hence is a better alternative. An Electric Vehicle has a longer charging time which is a drawback. Hence using Ultracapacitor for fast charging purposes can be coupled with a battery to overcome the drawback. Therefore, improving the transient power capabilities of the battery to satisfy the road load demand is critical. This research studies integration of Ultra-Capacitor (UC) to Battery. The objective is to analyze the effect of integrating UCs on the transient response of the BEV powertrain. UCs have higher power density which can overcome the slow dynamics of batteries. An energy management strategy utilizing a peak power-sharing strategy is implemented. The goal is to decrease the power load on batteries and operate Ultracapacitor in its most efficient region. A complete model to simulate the physical behavior of UC-Integrated BEV is developed using MATLAB/SIMULINK. This increases the life of the battery since its protected from overcurrent. which increases the health of the battery based on the number of charge/discharge cycles.

Published by: Yeshas Raghu Gowda

Author: Yeshas Raghu Gowda

Paper ID: V7I4-1718

Paper Status: published

Published: August 9, 2021

Full Details
Research Paper

Student evaluation and stress detection system using Machine Learning

In this project, we propose a stress recognition algorithm using face images and face landmarks. In the case of stress recognition using a biological signal or thermal image, which is being studied a lot, a device for acquiring the corresponding information is required. In order to remedy this shortcoming, we proposed an algorithm that can recognize stress from images of the students in the classroom acquired with a general camera. We also designed a deep neural network that receives facial landmarks as input to take advantage of the fact that eye, mouth, and head movements are different from normal situations when a person is stressed and also we can identify the emotion of the student, there will conclude that whether the students understanding the concepts or not. Experimental results show that the proposed algorithm recognizes stress more effectively.

Published by: Srinivasa R., T. J. Shashank Uthkarsh, Ravindranath, Tejashwini K, Chidan

Author: Srinivasa R.

Paper ID: V7I4-1692

Paper Status: published

Published: August 7, 2021

Full Details
Research Paper

Gauging the proportion and impact of drug-drug interactions in the prescriptions of geriatric patients on medications affecting the cardiovascular system

Background: Cardiovascular ailments belong to some of the most important contributing factors for the mortality and reduction in quality of life in developing nations. Patients on prescriptions with many medications are at a heightened risk for the development of adverse reactions especially resulting from drug-drug interactions. This study aimed at assessing the pattern, proportion and impact of such Drug-Drug Interactions (DDIs) in patients with various cardiovascular and non-cardiovascular co-morbidities. Methods: This study was conducted in the Department of Internal Medicine of a tertiary care center. The prescription of 200 patients was analysed for demographic information like gender, age, comorbidities and drugs prescribed. DDI was assessed using Micromedex software. Results: This study included 200 prescriptions of people aged 60 years and above. A total of 324 DDIs were identified among which, 24 (7.4%)were major and 127 (39.2)were moderate. The antiplatelet and anticoagulant group of drugs were responsible for the majority of DDI, followed by hypertension medications and diabetic medications Conclusions: It can be concluded from this study that the incidence of DDI rises with the rise in the number of medications in the prescriptions and there is an increase in the number of drugs in the prescription with the increase in the number of co-morbidities.

Published by: Dr. Manoj Kumar A S, Dr. Srihari G. Kulkarni, Dr. N. Bhaktavatchalam

Author: Dr. Manoj Kumar A S

Paper ID: V7I4-1706

Paper Status: published

Published: August 7, 2021

Full Details
Research Paper

Law of torts and sports litigation

The research paper talks about the relation between the Law of Torts and the Field of Sports and how important it is to establish the Law of torts in the Field of Sports. The research paper portrays the relation between Law of torts and sports litigation. The thesis includes various case laws, research papers,s and references from online articles. The evolution of sports in the country has called for proper implementation of laws for the industry and as the of Law of torts in India is still not properly established it is very hard for the sportsperson to claim for damages in a situation where they suffer injury. The transparency of the federal sports authorities in India has also not been fair and transparent as more and more frauds and scams have been disclosed in recent years. The proper establishment of the Law of torts would help the Indian judiciary as determining cases under the Law of torts would be simpler and finding out who is entitled to a claim for legal damages would also become easier. The research portrays different types of torts, cases of sports under the said torts, and the possible remedies that can be provided to the players. The research paper is on the topic of the Law of Torts and Sports Litigation. Secondary research conducted on the topic reveals that proper implementation of the Law of torts, as well as laws made by the Sports Federation of India, is required.

Published by: Avinash Pandey

Author: Avinash Pandey

Paper ID: V7I4-1703

Paper Status: published

Published: August 7, 2021

Full Details