Parent-Adolescent Psychology
This research paper comes to various conclusions about the Parent-Adolescent relationship which has an impact on both the parent and the adolescent in different contexts. This research paper sheds light on the importance of Communication of Adolescents with the family members that is necessary to maintain a Healthy Relationship with the members of the family. This paper talks about Communication and the Circumplex model, the Effects of parent-adolescent relationship, and the effect of parental separation on an adolescent’s well-being. Adolescent sexuality, parent Alcoholism, Adolescent egocentrism identity,parent-adolescent processes, parent personality, and its effects, parent influences on adolescent peer orientation, Family Economic Hardship, Parental Support, and Adolescent self-esteem are also examined. It also talks about Disclosure and Secrecy in parent-adolescent relationships. Various cause and effect factors were also examined.
Published by: Hunar Khanna
Author: Hunar Khanna
Paper ID: V10I2-1167
Paper Status: published
Published: May 1, 2024
Importance of Social Media and Marketing
Technology, especially social media has affected our lives in many ways and is an important part of our daily lives, marketing is just one of the many things social media is used for, and this paper is about the effects and influence of social media in marketing. Many aspects of marketing such as digital selling, brand loyalty, marketing communication, and many other points will be explained while keeping in mind the impact of social media. Also, advantages and disadvantages will be listed in the paper and expanded in an understanding way.
Published by: Divyam Upadhyay
Author: Divyam Upadhyay
Paper ID: V10I2-1162
Paper Status: published
Published: April 25, 2024
The origin of Street Theatre (ST)
Street Theatre (ST) originated in Russia in 1918. Sources reveal, 'Mystery-Bouffe' is the First Street Theatre in the world. Then the trend was spread in other countries of the world. Street Theatre has occupied a place for itself in World Theatre History.
Published by: Dr. Samitarani Mohanty
Author: Dr. Samitarani Mohanty
Paper ID: V10I2-1145
Paper Status: published
Published: April 22, 2024
Ship Detection Based on Faster R-CNN Using Range-Compressed Airborne Radar Data
This paper introduces a novel approach to ship monitoring for enhanced maritime safety and security. Traditional methods rely on Automatic Identification Systems (AIS) and marine radar, but their effectiveness is hindered by the absence of AIS on some vessels. To overcome this limitation, Faster R-CNN, trained on Range-Compressed Airborne Radar Data, is proposed. By utilizing airborne radar signals, the need for AIS installations is eliminated. The Faster R-CNN algorithm is trained on both Time Domain and Doppler Domain data types for object detection and classification, respectively. Leveraging Resnet50 as the backbone model, the system achieves efficient ship detection by analyzing specific regions, thus reducing false detections. This innovative approach presents a significant advancement in sea monitoring capabilities, ensuring enhanced safety and security at sea.
Published by: K. Vinay Kumar, Dr. Y. Md. Riyazuddin
Author: K. Vinay Kumar
Paper ID: V10I2-1144
Paper Status: published
Published: April 22, 2024
Bidirectional sign to audio converter
The goal of this paper is to create a helpful system for people who have trouble hearing and those who use sign language. This system can change sign language into spoken words and vice versa. It uses a motion capture system to change sign language and a voice recognition system to change spoken words. It shows the signs as writing on the screen and also displays the meaning of spoken words as moving images or videos.
Published by: Satyam K. Singh, Aishwarya Shrivastava, Priti R. Navik, Sonali Padalkar
Author: Satyam K. Singh
Paper ID: V10I2-1161
Paper Status: published
Published: April 22, 2024
Keystroke Dynamics: A Machine Learning Approach to Behavioural Biometric Authentication
With the ever-increasing dependence on digital services, ensuring the security of user accounts has become a paramount concern. Traditional authentication methods, such as passwords and PINs, have demonstrated vulnerabilities to various attacks. Keystroke dynamics, a behavioral biometric, offers a promising solution for adaptive authentication by analyzing typing patterns unique to everyone. This project explores the implementation of keystroke dynamics in adaptive authentication systems using machine learning algorithms. The primary objective is to create a robust, secure, and user-friendly authentication mechanism that continuously adapts to the changing typing behavior of users while maintaining a high level of accuracy. The proposed system employs a diverse dataset collected from users performing various typing tasks to train machine learning models. Features such as keystroke latency, flight time, and typing rhythm are extracted and used as inputs to the algorithms. Several popular machines learning techniques, including support vector machines, neural networks, and random forests, are employed to build classification models capable of distinguishing between legitimate users and unauthorized intruders. This project advocates for the adoption of keystroke dynamics in adaptive authentication systems, utilizing machine learning algorithms to create a secure and user-friendly experience. By combining behavioral biometrics with cutting-edge technology, the proposed approach offers a robust defense against unauthorized access, paving the way for more secure and convenient authentication methods in the digital era.
Published by: Swarangi Anant Sawant, Sakshi Vasant Kalambe, Rupali Pashte
Author: Swarangi Anant Sawant
Paper ID: V10I2-1164
Paper Status: published
Published: April 22, 2024
