COVID19 diagnosis using forced coughing and Artificial Intelligence
Everyone knows COVID19. No part of the world is untouched by this disease today. The virus spread like wildfire throughout the entire world within a year. The main causes of the spread of the virus we can say were incubation period of 11.5 days and it can spread through sneezing, touch, and air. Along with that, the limitations of the testing time period added more scope for the virus to spread. In this paper, we have proposed a method based on artificial intelligence machine learning, which can be used by anyone to check whether a person has been infected by the COVID disease. The person just needs to provide an audio recording of the forced coughing. Within a few seconds, the person will get the result. This method has a great potential of saving time, money, and lives. Similar AI models have been proposed for different diseases like pneumonia and Alzheimer's.
Published by: Vaibhav Dandage
Author: Vaibhav Dandage
Paper ID: V8I3-1259
Paper Status: published
Published: May 13, 2022
Prospective analysis of wind energy for power generation by Weibull distribution method
Clean, safe, and renewable electricity is supplied with wind power, making it one of the fastest-growing green technologies. Research on sustainable energy harvesting using wind turbines and ways in which wind power can be done provides information about the available methods. Wind energy is mainly used for two purposes namely irrigation (pumping) and power generation. The hope for wind power can be analyzed in different ways. The Weibull distribution method is one of the most widely accepted methods of measuring wind power. In this paper, the prospect of wind power in India is analyzed by means of the Weibull distribution. Details are collected from the Indian Meteorological Department located in various parts of the country. Three different Weibull distribution methods were used to obtain validated Weibull parameters using the most widely accepted mathematical tools.
Published by: Lakshya Varshney, Anna Sharma, Manav Chaturvedi, A. Ambikapathy
Author: Lakshya Varshney
Paper ID: V8I3-1240
Paper Status: removed
Submitted: May 12, 2022
Fabrication of automatic and penumatic side stand for two wheeler
The side stand is used for supporting a parked motorcycle. If the rider may forget to retract the side stands before riding, then the undistracted stand hitting the ground and affected the riders control during the turn. Now a day’s sensor are used for ensure that the stand is in released condition. The motorcycle side stand consists of a metallic rod and helical spring which is offset from the centre. Some side stand retract automatically when the motorcycle is lifted up the support some other are fit with electrical interlocks, warning devices or special retracting mechanism. In this paper there is possibility to reduce the evident which is takes place by the side stand. Side stand in two wheelers function the entire weight of the vehicle when it is parked. They are perfect on quick stop when one need to leave the vehicle for short while. They are provided with the spring that pulls it back into position to ensure extra safety. The presented mechanism consists of D.C. motor powered by motorcycles battery. Connected to the worm and worm gear mechanism for reduction of speed of motor and multiply the torque. The motor is actuated by the Rotation sensor which is mounted on the front of the wheel.
Published by: Saravanan G., S. Guganraj, M. Manojkumar, T. Janakiraman, V. Karuppasami
Author: Saravanan G.
Paper ID: V8I3-1188
Paper Status: published
Published: May 12, 2022
Psychological support of the employers and the impact on the worker output
In recent times, there has been a greater cognizance of the importance of mental health and the organizations must also start recognizing the needs of employees for a better workplace environment so they can be at their maximum efficiency. There are various reasons why employee starts developing mental health problems in their workplace. The reasons could be personal like dealing with a difficult boss or organizational like a merger or takeovers. These mental health problems in turn reflect on their work performance in a negative manner. From impulsive and reckless actions in the workplace to lower efficiency while working on their projects, the employee's mental health can affect both their own performance and the entire dynamic of the organization. Employers should be considerate towards employees’ mental health not only for the purpose of increasing the overall productivity of the organization but also for humanitarian reasons. They can achieve a healthier workplace environment through employee assistance programs, mental health first aid kits, and flexible working conditions. COVID-19 has been one of the major reasons for the deteriorating mental health of the employees and the organizations have slowly started adapting a way to restructure themselves in order to cater to the needs of the employees. This paper sources its information from secondary sources and attempts to simplify the concept of employee wellbeing and how it correlates to their work efficiency. The paper starts by explaining under what circumstances the worker experiences mental health problems in the workplace and how that affects their performance. It also discusses why employers should be considerate towards their employees’ mental health and how employers and organizations can influence a healthier workplace environment with special reference to current COVID-19 situations.
Published by: Kancharla Snigdha, T. Naga Dhanalakshmi Sarvani
Author: Kancharla Snigdha
Paper ID: V8I3-1237
Paper Status: published
Published: May 12, 2022
Seasonal Study of Surface Water in Uddanam Region
Chronic kidney disease (CKD) is the most prevailing unknown etiology in the Uddanam region of Srikakulam district. Many studies suggested that water could be one of the factors for the CKD and hence the study was focused on the assessment of surface water for pre-monsoon and post-monsoon seasons for two consecutive years. The water samples have been collected from the selected 13 villages in Uddanam region which are at high risk. All the water samples showed acidic nature (pH < 6.5), greater hardness and high phosphate ions. The water samples were also analyzed for Fe, As, Cd, Pb and Hg. The water can only be suitable for drinking and cooking through proper water treatment methods.
Published by: V. Luke Paul
Author: V. Luke Paul
Paper ID: V8I3-1191
Paper Status: published
Published: May 10, 2022
Game theory-based task offloading in fog-based wireless networks
Fog-assisted 5G Networks allow the users within the networks to execute their tasks and processes through cooperation among the fog nodes. As a result, the delay in task execution reduces in contrast to the task execution in independent scenarios, where the Base Station (BS) is directly involved. In the practical scenario, the ability to cooperate clearly depends on the willingness of fog nodes to cooperate. Hence the prime purpose of this study and project is to design an incentive-based bargaining approach based on Nash Bargaining Solution (NBS) which encourages a cooperative task execution by the fog nodes for the end-users in a fog-assisted 5G network. The proposed model encourages the fog nodes to cooperate among themselves by receiving incentives from the end-users benefitting from the cooperation. Considering the heterogeneous nature of fog nodes based on their storage capacity, energy efficiency, etc., we aim to emphasize a fair incentive mechanism that fairly distributes the incentives from users to the participating fog nodes and improves the QoS. The proposed incentive-based cooperative approach reduces the cost of end-users as well as balances the energy consumption of fog nodes. The proposed system model addresses and models the above approaches and mathematically formulate cost models for both fog nodes and the end-users in a fog-assisted 5G network.
Published by: Snigdha Kashyap, Saahil Kumar Singh, Abhishek Rouniyar, Rajsi Saxena, Avinash Kumar
Author: Snigdha Kashyap
Paper ID: V8I3-1213
Paper Status: published
Published: May 10, 2022
