Palm oil classification using deep learning
Deep Convolutional Neural Networks (CNNs) are established as a strong category of models for image classification issues. This study aims to use and analyses the accuracy of deep learning in classifying rips on oil fruit. This study trained dataset, deep convolutional neural network to classify 628 pictures into a pair of totally different categories. By victimization CNN with five epochs, the results show that the results provide promising leads to the classification with the accuracy of 95.6% that higher the compared previous strategies. This study was with success determination a picture classification by detected and differentiated the matureness of feather palm fruit.
Published by: Prateek Dutta
Author: Prateek Dutta
Paper ID: V6I5-1379
Paper Status: published
Published: October 26, 2020
Relationship between mindfulness, relationship satisfaction and subjective happiness
The aim of this study was to investigate the relationship between Mindfulness, Relationship Satisfaction and Subjective Happiness among young couples’ population. The sample included 60 participants who were in a relationship aged between 18 to 29 years. It was hypothesized that the three variables are strongly correlated with each other. to test the same, three scales were used, Mindful attention awareness Scale, Relationship assessment Scale and the Subjective happiness scale was used to measure the variables. Data was analysed using Pearson correlation coefficient along with Consent form and demographic details to study the correlation between Mindfulness, Relationship Satisfaction and Subjective happiness. The results showed that there is a positive correlation between Mindfulness and Relationship satisfaction , Mindfulness and subjective Happiness and Relationship satisfaction and subjective happiness among young couples. This suggests that individuals who are mindful experience high relationship satisfaction and happiness .A detailed discussion and the limitations of the study are discussed.
Published by: Neha Kumar
Author: Neha Kumar
Paper ID: V6I5-1363
Paper Status: published
Published: October 25, 2020
A digital watermarking for social network data sets for enabling the data trust
Digital watermarking has become a promising research area to face the challenges created by the rapid growth in distribution of digital content over the internet. To prevents misuse of this data Digital watermarking techniques are very useful, In which a Secret message called as a watermarks which could be a logo or label, is embedded into multimedia data which again could be used for various applications like copyright protection, authentication, and tamper detection etc.. Based on the requirement of the application the watermark is extracted or detected by detection algorithm to test condition of the data. This paper presents another approach for watermarking image and extracting it for authentication purposes.
Published by: Revathy P. N., Krishnaveni V. V.
Author: Revathy P. N.
Paper ID: V6I5-1370
Paper Status: published
Published: October 23, 2020
Web chat: Interactive application for disabled people
The world wide web (WWW)is one of the most important resources available which can be used to deliver information to any part of the world. Information can be made available in interactive ways. There are different forms of these resources such as education, employment, government, e-commerce, recreation, health care, and many more. It is also important that the Web can be accessible to everyone and everywhere, so websites should be developed in such a way that even the people who have disabilities should be able to make use of it. An accessible web can help disabled people to participate in many social activities and not make them feel omitted. Accessible websites are often the best way to interact with people with disabilities. So, this project aims at developing a chat bot which can help visually disabled people to browse through the website and learn about their products like any normal person.
Published by: Vijay C. P., Yashpal Gupta S., Janardhana Swamy G. B., Janardhana D. R.
Author: Vijay C. P.
Paper ID: V6I5-1350
Paper Status: published
Published: October 23, 2020
The Applications of Artificial Intelligence in Cancer Biology
Having heard that artificial intelligence is going to be used everywhere, the application of artificial intelligence in cancer is one such example. Through deep learning, it is possible to make a model that can particularly predict an individual’s response to a specific treatment. It is also said that artificial intelligence can be used to detect the different stages of cancer.
Published by: Namrata Atur, Aditi Venkatesh Bhat
Author: Namrata Atur
Paper ID: V6I5-1389
Paper Status: published
Published: October 23, 2020
Financial literacy among the youth- A conceptual review
Financial literacy is the sum total of various skills, aptitudes and abilities required to make sense of financial phenomena & take sound financial decisions. It is a very important concept in the present times. The world that we witness today is a much different one than the one occupied by our elders. Even though many things have managed to remain the same, many more have changed rapidly. Accompanying these rapid changes are the growing complexity in the way in which thigs work, for eg; the financial system. Just consider the following; 1. More and more youngsters are conscious about considering retirement planning since early on, as they know they have to fend for themselves past their retirement age. 2. More than ever before, youngsters today need to think of their income as a limited economic resource, which has unlimited demands, many alternative uses, considerable opportunity cost & their spending behaviour can have long term, irrevocable consequences. 3. We, as a country, over the past decade are slowly but surely shifting from a nation of savers to that of spenders, with more and more youngsters being comfortable with credit cards & term loans for acquiring a variety of consumer goods. 4. The financial system, too, has never been more flabbergasting, with a plethora of investment & insurance products (who often intermingle) to choose from & advisors of all classes & pedigree vying for a chance to manage other’s money for them, for a fee, ofcourse. 5. Easy access to & low barriers in financial markets of all types, terms, sizes & shapes have attracted many youngsters to take part in them, irrespective of these youngsters’ understanding thereof & expertise therein. It is very easy to fumble and make mistakes in such a scenario, if one is not well equipped with the necessary skills and abilities to make sense of & then harness all the data & information, often easily & abundantly available, to make sound financial decisions. Often, such mistakes have been known to have long term, even permanent, ramifications. It is evident from the large number of youngsters and even middle aged people still struggling pay off their student loan arrears & make sense of their burgeoning credit card debt. Considering this, it probably wouldn’t be an exaggeration to consider financial literacy a valuable life skill. Measuring relevant parameters is the first logical step towards solving a problem. In order to understand whether the youngsters of today possess necessary skills, aptitudes & abilities to make sound financial decisions, we first need to measure their current level of financial literacy & identify the various determinants & influencing factors in financial decision-making process, as engaged in by the youth. This is an endeavour which will aid the various stakeholders (policy makers, educators, parents, youngsters, banks & other financial institutions, regulators, etc) to undertake necessary policy interventions, create effective educational programs, develop relevant financial products and effectively train the next generation of decision makers to make better financial decisions. Also, relevant research gaps need to be explored in order to undertake future research. The current research paper is an attempt in that direction.
Published by: Dr. Dipti Tulpule, Prashant Chougule
Author: Dr. Dipti Tulpule
Paper ID: V6I5-1257
Paper Status: published
Published: October 22, 2020
