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Research Paper

Serial Position Effect: The Causes of Forgetting

This study investigated the effect of loud rock music on memory recall using the Serial Position Effect. Participants were divided into two groups: one completed a word recall task in silence, while the other completed the same task while exposed to loud rock music. The study examined the primacy and recency effects by analyzing the number of words recalled from the beginning and end of a word list. Results showed that participants in the silent condition demonstrated stronger recall and a clearer serial position curve compared to those exposed to loud music. The findings suggest that loud background music interferes with attention, encoding, and retrieval processes, thereby reducing memory performance. These results highlight the influence of environmental distractions on cognitive functioning and learning.

Published by: Saisha Mehta

Author: Saisha Mehta

Paper ID: V12I3-1229

Paper Status: published

Published: June 28, 2026

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Research Paper

Solar-Powered Touchless Doorbell for Home and Industrial Applications

This project presents a Solar-Powered Touchless Doorbell for home and industrial applications using renewable energy and contactless sensing technology. An IR sensor detects the presence of a hand and activates the doorbell without physical contact, improving hygiene and convenience. The system is energy-efficient, cost-effective, and suitable for modern smart environments.

Published by: Vasanth, Dheena Prasanth K, Ravi Vinod, Vishal K, Dr. G. Sundar

Author: Vasanth

Paper ID: V12I3-1217

Paper Status: published

Published: June 23, 2026

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Thesis

Sadhu Om Swami – His Life and Poetic Compositions

Sadhu Om was a poet from Punnai Nallur, a famous kshetra, 2 miles from Thanjavur in Tamil Nadu. Even from his childhood Natarajan was naturally blessed with ‘asu kavitvam’ as it called. He could spontaneously compose poetry. He had great love for Lord Muruga and many songs in His praise flowed from him. As he was a good singer as well, he would joyously sing these songs. At the age of 24, (i.e., in 1946) he happened to come across and read the book ‘Sri Ramana Vijayam’, a Tamil biography of Ramana. This attracted his heart and he yearned to have Darshan of Bhagavan Ramana. He had the darshan of Ramana and was lost in his presence. Natarajan arrives with a song “Kuyil Vidu Thoodhu” and starts singing it before Bhagavan Ramana. Soon he started finding his job at the Thanjavur Collector’s Office a hindrance to his spiritual pursuit and resigned from it. Sri Sadhu Om’s association with Ramana Maharshi lasted four years from July 1946 until Ramana’s Mahasamadhi in April 1950. Sri Muruganar, often regarded as one of Ramana’s foremost disciples, designated Sri Sadhu Om as his literary executor. Sadhu Om had exclusive devotion to Bhagavan and regularly went for the giri-pradakshina, the circumambulation of the sacred Arunachala, Annamalai. He talked about the boundless merits of the Giri valam and created an awareness of its auspiciousness in Western seekers and other Bhagavan devotees. Dedicating his life to the twin purposes of composing hymns on Bhagavan and performing giri - pradakshina, Sadhu Om merged in Bhagavan’s grace on 17-3-1985.

Published by: Revathi Sankar, Dr. Ambika Kameshwar

Author: Revathi Sankar

Paper ID: V12I3-1226

Paper Status: published

Published: June 23, 2026

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Research Paper

Artificial Intelligence and Risk Management in Digital Banking Services: Opportunities, Challenges, and Future Perspectives

The rapid growth of digital banking has transformed the financial services sector by enhancing accessibility, efficiency, and customer experience. Simultaneously, the increasing dependence on digital platforms has exposed banks to various risks, including cyber threats, operational failures, fraud, data breaches, and regulatory compliance issues. Artificial Intelligence (AI) has emerged as a significant technological solution for identifying, assessing, and mitigating these risks. This paper examines the role of AI in risk management within digital banking services. The study explores AI-based applications such as fraud detection, predictive analytics, credit risk assessment, anti-money laundering systems, and cybersecurity monitoring. The paper also highlights challenges associated with AI adoption, including algorithmic bias, privacy concerns, regulatory issues, and technological dependence. Based on a review of contemporary literature and industry practices, the study concludes that AI significantly enhances the effectiveness of risk management while requiring appropriate governance frameworks to ensure ethical and secure implementation.

Published by: Mohd Sarim Syed

Author: Mohd Sarim Syed

Paper ID: V12I3-1219

Paper Status: published

Published: June 17, 2026

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Research Paper

Experimental investigation on Utilization of Recycled PET Fiber in Concrete

This paper presents an experimental investigation on the utilization of recycled Polyethylene Terephthalate (PET) bottle fibers in M35 grade concrete. The increasing generation of plastic waste has become a serious environmental issue due to its non-biodegradable nature and improper disposal methods. The use of recycled PET fibers in concrete offers an effective solution for waste management while enhancing the mechanical properties of concrete. In this study, waste PET bottles were collected, cleaned, and cut into fibers of suitable dimensions before being incorporated into concrete at varying percentages of 0%, 1%, 2%, and 3% by weight of cement. Concrete specimens were prepared and tested to evaluate compressive strength, split tensile strength, and flexural strength after standard curing periods. The experimental results indicated that the inclusion of PET fibers improved the overall performance of concrete by enhancing crack resistance, tensile strength, and flexural behavior. The fibers acted as crack-bridging elements, reducing the propagation of microcracks and improving the ductility of concrete. Among the different mixes, the optimum PET fiber content exhibited the best mechanical performance. The utilization of PET fibers also contributes to sustainable construction practices by reducing plastic waste accumulation and promoting the recycling of non-biodegradable materials. The findings of this study demonstrate that recycled PET fiber reinforced concrete can be considered a viable and eco-friendly construction material. Therefore, the incorporation of PET fibers in concrete not only improves structural performance but also supports environmental sustainability and effective plastic waste management in the construction industry.

Published by: Sanjay Balte, Kanthali Sudhir Bhausaheb, Mule Akash Suresh, Mundhe Prakash Vasant, Rashinkar Vishal Nanasaheb, Rathod Jagdish Nandalal

Author: Sanjay Balte

Paper ID: V12I3-1218

Paper Status: published

Published: June 16, 2026

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Research Paper

Gesture to Voice: A Real-Time Arabic Sign Language Recognition System for Spoken Saudi Arabic Output

Communication barriers between deaf individuals and the general public remain a persistent challenge in Arabic-speaking communities. This paper presents Gesture to Voice, a real-time Arabic Sign Language (ArSL) recognition system that translates hand gestures into spoken Saudi Arabian audio output. MediaPipe extracts 21 hand landmarks per hand (126 features total), and a Long Short-Term Memory (LSTM) neural network processes temporal sequences of 30 consecutive frames to classify gestures. A two-stage prediction stabilization mechanism combining confidence thresholding and majority voting ensures reliable output. The system achieves a best validation accuracy of 84.26% and reliable real-time performance across three gesture classes. Unlike prior work producing text-only output, Gesture to Voice uniquely delivers spoken SaudiArabianc responses, addressing a critical gap in localized assistive technology.

Published by: Alanoud Saud M. Alnawmasi, Badriya Abaker Mohajir, Jood Mtaleq F. Alenazi, Jumanah S. Almarzooq, Manar Majed N. Alhur, Nouf Fraih A. Alshammari

Author: Alanoud Saud M. Alnawmasi

Paper ID: V12I3-1214

Paper Status: published

Published: June 13, 2026

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