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
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
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
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
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
Kidney stone detection using Machine Learning techniques
In nowadays individuals are experiencing different infections. Kidney infections are one of the significant illnesses among them which are expanding day by day like the development of blisters and stones, contamination, tumor, change in kidney position and appearance and so forth We can't disregard kidney-related issues since kidney breaking down can place life in hazard Consequently, to forestall such sort of kidney anomalies in patients, early recognition and avoidance is required. This paper presents an audit on the discovery and acknowledgment of kidney anomalies. The data can be helpful to distinguish and find the kidney infections in the previous stages to play out the careful activity to fix them effectively. Thus, it has a repetitive application space that incorporates PC supported finding framework which assists with identifying kidney anomalies and give a conclusion of likely infection. In addition, a CT picture has numerous issues like low differentiation, spot commotion, gaussian clamor, and different ancient rarities. In this way, there is a major need for better picture quality than remove related highlights. To conquer this test, suitable picture handling procedures as pre-preparing and order strategies have been portrayed. The examination work presents the outline of the different strategies for the discovery and acknowledgment of kidney irregularities. Besides, the goals of these strategies and their presentation are clarified.
Published by: Lepakshi T. V., Dhamini C. L., M. V. Ramya, Rachana C. Hulikatti, Aneesh Jain M V
Author: Lepakshi T. V.
Paper ID: V7I4-1668
Paper Status: published
Published: August 7, 2021
