A study on investment pattern and preference of retail investors
Investment means putting your money to work for you. It is a different way to think about how to make money. Growing up, most of us taught that we could earn our income only by getting a job & working. And that’s exactly what most of us do. This report is about the study were to identify the preference of investors towards various investment avenues, public awareness & preference of mutual funds and find out the purpose and objectives of the investment. Also, the risk profile was accessed information pertaining to the factors affecting the choice of mutual preferred mutual funds scheme’s purpose of investment, etc. The research design adopted was a descriptive type. The sampling technique adopted was cluster simple random sampling. A total of 120 samples were interviewed and appropriate data were collected. All the data were compiled and analyzed, using descriptive statistics as well as inferential statistics. Simple percentage analysis was used for descriptive analysis. Cross tabulation and chi-square were used for the inferential statistics. There are many different ways we can go through making an investment.
Published by: Kandanuru Jeelan Basha
Author: Kandanuru Jeelan Basha
Paper ID: V7I2-1325
Paper Status: published
Published: April 10, 2021
COVID 19 detection using chest X-rays
The COVID-19 epidemic is causing a major outbreak in more than 150 countries worldwide, which has a profound impact on the health and well-being of many people worldwide. One of the most important steps in combating COVID-19 is the ability to detect infected patients early, and place them under special care. Diagnosis of radiography and radiology is probably one of the fastest ways to diagnose patients. To accelerate the detection of COVID-19 infections by X-ray images, this study developed a new diagnostic platform using a convolution neural network (CNN) that can assist radiologists with diagnostic detection of COVID-19 pneumonia. Such a tool can save time in translating chest X-rays and increase accuracy and thus improve our medical capacity to detect and diagnose COVID-19. The idea of the study is that a collection of X-ray medical imaging images are used to train CNN which can distinguish between sound and useful information and then use this training to interpret new images by detecting patterns that show certain diseases such as corona infection in individual images. Continue to use transfer learning strategies such as VGG 16, RESNET50, Inception V3 and find out which process provides the best accuracy in obtaining COVID-19.
Published by: Srilam S. K., Prasanna N., Nandhini G.
Author: Srilam S. K.
Paper ID: V7I2-1340
Paper Status: published
Published: April 10, 2021
Design and analysis of an In-Pipe Inspection Robot
Previously there are various designs available regarding of an in-pipe inspection robot. This research paper aims at preparing a new design along with its Analysis. In a beginning we studied the available designs and Analysis reports. We have used SOLIDWORKS to design and Analysis of our robot. Our model is a wireless in-pipe inspection robot which is efficient to pass through a pipe with diameter in range of 170-200mm. The important areas we have considered while in the process of design are strength, safety while performing task, steer ability, and the most important one is size and shape adjustability We can detect various defects such as cracks, corrosion, blockages, material decay, flaws etc.
Published by: Deepak Sonawane, Samadhan Bhosle, Omkar Baile, Omswarup Kotkar
Author: Deepak Sonawane
Paper ID: V7I2-1341
Paper Status: published
Published: April 10, 2021
Plant disease detection using ensemble learning – A review
Agriculture is one of the strongest pillars of the Indian economy. Plants are important as they are the source of energy supply to mankind. Approximately 70% of the Indian economy depends on agriculture for their livelihood. But this is affected by the disease which causes lower agricultural productivity. The farmers encounter difficulties in their detection of plant diseases. Diseases can affect the plant at the time of sowing and harvesting and it leads to low productivity and lowers the economic level. So, there is a need to mitigate this issue by computer techniques and machine learning methods. This paper presents an overview of various classification techniques in machine learning that helps in plant disease detection. The emergence of agriculture is one of the strongest pillars in the Indian economy. Plants are important as they are the source of energy supply to mankind. Approximately 70% of the Indian economy depends on agriculture for their livelihood. But this is affected by a disease that causes lower agriculture productivity. The farmers encounter difficulties in their detection of plant diseases. Diseases can affect the plant at the time of sowing and harvesting and it leads to low productivity and lowers the economic level. So, there is a need to mitigate this issue by computer techniques and machine learning methods. This paper presents an overview of various classification techniques in machine learning that helps in plant disease detection. The emergence of accurate techniques leads to impressive results. accurate techniques lead to impressive results.
Published by: Sadhana, Dr. Vinay Chopra
Author: Sadhana
Paper ID: V7I2-1300
Paper Status: published
Published: April 9, 2021
Significance of improving communication skills
The term ‘communication’ has got its own importance in the current scenario. In the present age of information and communication technology (ICT), it has become essential for every individual to possess and master communication skills. The present research article aims at understanding the significance of communication skills and it also discusses some important ways to improve these skills. When we speak of communication, we normally think about the day-to-day tasks and discussions we all engage in. As Peter Ustinov says, “Communication is the act of simply being understood”. One of the basic aims of communication is to convey our thoughts and ideas and make the people understand these ideas. Hence, there is an urgent need of improving communication skills to present one’s thoughts and ideas effectively.
Published by: Ramkrushn Dnyandev Kale
Author: Ramkrushn Dnyandev Kale
Paper ID: V7I2-1321
Paper Status: published
Published: April 9, 2021
Scientific social responsibility – A systematic literature review
Scientific Social Responsibility (SSR) concerns the development of synergies between all players of our scientific knowledge community, as well as the creation of ties between science and society. The contribution of SSR compared to corporate social responsibility (CSR) is minimal at present and not well documented in the literature. The purpose of this paper is to present a systematic literature review of SSR. The components were identified through a detailed study of literature from the year 1947 to 2019 from various fields in order to evaluate SSR. The scope of this paper is to provide a broad overview and clarity on the topic of SSR. The paper also exclaims the draft policy implemented by India and how it aids in the betterment of society.
Published by: Samanth MV, Hemchand J., Vrushank Aithal K., Dr. Swamy D. R.
Author: Samanth MV
Paper ID: V7I2-1335
Paper Status: published
Published: April 9, 2021
