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Research Paper

Helicopter Parenting and Psychological Well-being among Indian and United States Adolescents

Parents play an important role in a child’s life. Parents’ style of raising their children can largely determine a child’s overall development. In addition to the various parenting styles such as authoritarian, authoritative, and permissive parenting styles (Baumrind,1966), helicopter parenting has become a common parenting style for raising children. Helicopter parenting is a parenting style that involves parents who are potentially over-involved in their child's lives (Padilla-Walker & Nelson,2012). Parents have high expectations about providing their children the best resources possible to make their life easier and often get over-involved in this process. Parents who adopt this type of parenting style often believe that it can help their children to flourish in life. Psychological well-being describes the important aspects of human functioning ranging from positive relationships to feelings of competence, to having meaning and purpose in life (Diener et al., 2010). This research aims to study the relationship between helicopter parenting and psychological well-being among Indian and United States of America (USA) adolescents. A sample of Indian and US adolescents (n=60) ranging from 16-21 years were chosen for this study. The adolescent’s perception of their parent’s helicopter parenting behaviour was measured using Helicopter Parenting Instrument and the adolescent’s psychological well-being was measured using the Flourishing Scale. The study results indicated no significant relationship between perceived helicopter parenting and psychological well-being among Indian and US adolescents.

Published by: B. Krishna Priya, S. Thenmozhi

Author: B. Krishna Priya

Paper ID: V7I3-1797

Paper Status: published

Published: June 11, 2021

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Review Paper

Hand Gesture using Arduino

The modern world is filled with new things and technology. As we can see in present time most of the things are becoming gesture control. Gesture based interaction is becoming a necessity at home, office, gardens etc. This build will detect hand gesture from the motion sensor connected to Arduino. The hand gesture will work as an input which will act with PC or laptop. One of the key area of implementation of code using Python. We feel that we can help a little with our little contribution

Published by: Manthan Shah, Jay Pandya, Jenil Shingala, Pushkar Jain, Vaishali Rane

Author: Manthan Shah

Paper ID: V7I3-1794

Paper Status: published

Published: June 11, 2021

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Research Paper

Fake news detection using NLP

All Counterfeit news is the purposeful spread of deception or promulgation by conventional news media and through online media. Such news stories can come in numerous structures, including accidental mistakes submitted by news aggregators, inside and out bogus stories, or the tales which are created to deceive and impact per user's assessment. Using NLP and machine learning to predict fake news can help resolve the spread of such news.

Published by: Akintya Nigam, Aradhya Dhruv

Author: Akintya Nigam

Paper ID: V7I3-1746

Paper Status: published

Published: June 11, 2021

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Research Paper

Prediction and Categorization of Heart Arrhythmia

Heart arrhythmia is a state of the heart in which the heartbeat is unbalanced which can be too fast, too slow, or unstable. Electrocardiography (ECG) is used for the recognition of Heart arrhythmia. It registers the electrical activities of the heart of a patient for a period with electrodes attached to the skin. Due to the ECG signals that reflect the physiological conditions of the heart, medical specialists tend to utilize ECG signals to detect and analyze heart arrhythmia. The most important skill of medical doctors is being able to identify the dangerous types of heart arrhythmia from ECG signals. In spite of this, interpretation of the ECG waveforms performed by professional medical doctors manually is proven to be monotonous and time-consuming. As an end result, it was found that the development of automatic systems for identifying abnormal conditions from diurnal recorded ECG data is of primary importance. In addition to that, suitable timely medical treatment measures can be effectively applied when such irregular heart conditions can be identified instantly using health monitoring equipment and tools which internally use machine learning algorithms. Therefore, an important role in this regard would be machine learning.

Published by: Nishitha Doris Rebecca, Dr. S. N. Prasad

Author: Nishitha Doris Rebecca

Paper ID: V7I3-1632

Paper Status: published

Published: June 11, 2021

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Technical Notes

Authentication Protocol for Anti Counterfeiting System using NFC

Counterfeit medicines are defined by World Health Organization (WHO) as those that are fraudulently and deliberately unlabelled with identity. Various products that are counterfeited, cause problems to various manufacturing companies such as automotive parts, jewelry, cosmetics, software food and beverage, etc. Pharmaceutical products have serious threats from it. Counterfeit medicines do not offer any countermeasure to diseases, that is why the people, who use these medicines, suffer a lot. This problem poses a threat to lawful manufacturing companies since it results in revenue loss.

Published by: Fahmeeda Roohi, B. K. Srinivas

Author: Fahmeeda Roohi

Paper ID: V7I3-1793

Paper Status: published

Published: June 11, 2021

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Research Paper

Voice Assistant: A revolution in technology

A virtual assistant is basically a software agent that can perform tasks or services for an individual based on commands or questions. Traditionally if you have to get some information over the internet you would need a desktop/laptop/mobile device of some sort with an internet connection, manually go to the WEB portal and search for what you need to get a result which is a little time-consuming. Voice-based internet access uses rapidly advancing speech recognition technology to give users any time, anywhere communication and access to the web through the Human Voice over a mobile or home phone. The objective of this research paper is to describe the various technical factors that are making voice assistants the next big opportunity to the various approaches service providers and developers of voice portal solutions can follow to maximize this exciting technology.

Published by: Kedar Dhamankar, Dr. Abhijit Banubakode

Author: Kedar Dhamankar

Paper ID: V7I3-1790

Paper Status: published

Published: June 11, 2021

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