Enhanced Security in Signature Verification System Using Dynamic Sign Retrieval
Signature verification is the process of automatically and instantly determining whether a signature is genuine. Our system helps to determine whether the user’s new signature matches the original signature in the database. Every person has a unique signature used primarily for personal identification and verification of important documents or legal transactions. Mostly used to authenticate checks, draughts, certificates, approvals, letters, and other legal documents. Verifying its authenticity is essential because a signature is used in such critical activities. This type of verification is critical in preventing document forgery and falsification in a variety of financial, legal, and commercial settings. Traditionally, signatures were manually verified by comparing them to copies of genuine signatures. This simple method may not be sufficient as technology advances, bringing with it new techniques for forgery and falsification of signatures.
Published by: Dhanush.M, Tharneesh.S.R, Arun.R, Ramya.S
Author: Dhanush.M
Paper ID: V10I6-1353
Paper Status: published
Published: December 2, 2024
ConnectCraft – Simplifying Network Choices
In our increasingly connected world, network quality is a fundamental concern for users. We propose an AI-powered solution to assist individuals in making informed decisions about their network service providers. This innovative application harnesses historical network data and real-time user feedback to predict and display potential network quality issues in specific geographic areas, by employing advanced Artificial Intelligence and Machine Learning algorithms, identifying trends and anomalies within this data, allowing it to forecast potential network issues accurately. Key features include predictive analytics, a visual representation of network quality problems on an interactive map, integration of real-time user feedback, provider comparisons based on historical data and reviews, personalized recommendations, and proactive alerts about potential network problems. This comprehensive solution empowers users to select the most suitable network provider for their specific needs, ultimately enhancing their network experiences and satisfaction in networks like JIO, Airtel, Idea, etc. It bridges the gap between consumers and network providers by providing transparency and data-driven insights into network quality, ensuring users can confidently make choices that align with their connectivity requirements.
Published by: Suyog Karpe, Atharva Ostwal, Yashshree Kirad, Atharva Pawar
Author: Suyog Karpe
Paper ID: V10I6-1341
Paper Status: published
Published: December 1, 2024
Mentorship in Education: A Revolutionary Approach for Teachers
This research explores the transformative role of mentorship in education, focusing on five key elements: Emotional Intelligence (EQ), Ethical Passion, Active Listening, Adaptive Communication, and Values and Knowledge Education (VaKE). Through qualitative analysis of interviews with 50 teachers and case studies from three mentorship-driven schools, the study highlights the significant impact of these elements on student engagement, academic performance, and ethical behavior. The findings reveal that teachers with high EQ foster environments that increase student engagement by 85%, while those demonstrating Ethical Passion contribute to a 90% improvement in student ethical behavior. Active Listening and Adaptive Communication are shown to enhance comprehension and performance by 40%. The research underscores the importance of integrating mentorship into teacher training and recommends practical strategies for its institutionalization. These include mandatory mentorship training, continuous professional development, and curriculum integration of mentorship principles. The paper concludes that effective mentorship is essential for nurturing socially responsible and ethically aware students, capable of becoming future leaders.
Published by: Anu Kaushal
Author: Anu Kaushal
Paper ID: V10I6-1343
Paper Status: published
Published: November 30, 2024
How Sports Affect One’s Mental Health
Sports offer significant mental health benefits, including improved self-esteem, stress relief, and resilience. There is a difference between the health benefits derived by amateurs versus professionals regular participation enhances physical health and mental well-being, boosting mood and confidence. Research also found a correlation between certain sports and nationalistic behavior. While sports are generally positive for mental health, they also come with challenges, including performance and public perception pressures. Additionally, sports can impact societal issues such as aggression and unrealistic beauty standards.
Published by: Alexa Gloria Galan
Author: Alexa Gloria Galan
Paper ID: V10I6-1294
Paper Status: published
Published: November 30, 2024
Predictive Maintenance for Industrial Equipment using IIOT, AI and ML
In Industry 4.0, predictive maintenance is transforming the way efficiency and reliability are enhanced in manufacturing. This study introduces a system with machine learning approaches, with a strong emphasis on the Random Forest algorithm., and embedded technology to predict and prevent equipment failures. By utilizing real-time data from IoT sensors, our approach accurately assesses machine health and schedules maintenance before any issues arise. The use of the Random Forest model ensures high predictive accuracy by analyzing complex, nonlinear relationships in data, enabling a robust estimation of equipment conditions. This proactive strategy significantly reduces unexpected downtime, lowers maintenance costs, and prolongs machinery lifespan. We review recent advancements in Prognostics and health management (PHM), estimation of the remaining useful life (RUL) of equipment, and condition-based maintenance (CBM). Additionally, We explore challenges such as model interpretability, scalability, and data diversity within industrial environments.
Published by: Nandini Nalawade, Swati D. Jakkan, Shweta Mangnale, Pradnya Patil
Author: Nandini Nalawade
Paper ID: V10I6-1334
Paper Status: published
Published: November 29, 2024
The Arc of Light
The interplay of light and shadow is a fundamental element in the art of photography. By understanding how light behaves from every angle, photographers can harness its potential to create compelling and evocative images. This research, The Arc of Light: A Study of Shadows and Faces, delves into this intricate relationship, offering a comprehensive visual exploration of the transformative power of illumination. To systematically investigate the effects of light on a subject, we employed a rigorous methodology. A subject was captured from a constant angle while the light source was incrementally adjusted, allowing us to observe the subtle shifts in form, texture, and mood. To ensure accurate measurement and control of light intensity, a light meter was utilized throughout the process. By quantifying the amount of light falling on the subject, we were able to analyze its impact on the resulting image with precision. Through this meticulous study, we have gained valuable insights into the nuances of directional light, the character of shadows, and the evocative potential of light and shadow. By examining how light illuminates, obscures and redefines the subject, we can better understand the principles that govern the art of illumination. This knowledge empowers photographers to make informed decisions about lighting setups, camera angles, and exposure settings, ultimately leading to more creative and impactful imagery. This research serves as a valuable resource for photographers, artists, and enthusiasts seeking to master the art of illumination. By studying the principles and techniques outlined within these pages, readers can elevate their photographic practice and create visually stunning images that resonate with viewers. Whether you are a seasoned photographer or a budding enthusiast, The Arc of Light offers a wealth of knowledge and inspiration to help you unlock the full potential of light and shadow.
Published by: Sudeep Mehta, Arman Shaikh, Prajwal Patil
Author: Sudeep Mehta
Paper ID: V10I6-1331
Paper Status: published
Published: November 29, 2024
