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Research Paper

A Survey on Improved Dehazing System for Underwater Night Light Fog Images Using Machine Learning Algorithm

The absorption of light in water and scattering leads to the degradation of images captured at night under the water. This degradation causes low brightness, diminished color, and distinguishable objects in the image affected by the night light. Many researchers worked to improve the images underwater during daylight using contrast stretching and the white balance method. The majority of investigations were done using white balance to reduce the greenish effect due to absorption of higher wavelength, which is reduced when propagated through water, this survey presents many works like guided filter transmission used as an edge-preserving smoothly operator and also “CLAHE” (“contrast limited adaptive histogram equalization”) & RGB model. These methods helped to change the intensity of the dehazed image and the level of contrast in the image. All these methodologies developed by the previous researchers were on the dehazing of daylight fog images. Hence, there is a scope for developing an improved dehazing of night light fog images.

Published by: Tamanna Pawar, Shridevi Soma

Author: Tamanna Pawar

Paper ID: V10I6-1362

Paper Status: published

Published: December 4, 2024

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Research Paper

Developing an EOG-Based Communication Interface for Quadriplegic Patients: Prototype, Signal Processing, and Algorithm Design

Electrooculography (EOG) is an electrophysiological signal that determines the human eye orientation and is therefore widely used in Human Tracking Interfaces (HCI). The purpose of this project is to develop a communication method for quadriplegic patients using EOG signals aimed at text and voice generation. The system consists of 3D eye movement tracking embedded using a custom-built prototype to measure the eyeball's left-right and up-down movements. The ESP32 board, which has a set of parameters to convert the data into content displayed on LCDs and MP3 players, is used to capture and process the signal. Helps people by facilitating more natural and efficient symptom expression. The blink system will be able to incorporate face masks and more eye tests as it continues to develop. Even if it might work, more research and clinical trials are needed to evaluate the system's usefulness and ensure that it performs as planned in real-world scenarios. With this project, assistive technology will make significant progress and improve the lives of many who suffer from severe motor impairments.

Published by: Aniket Raj, Amit Kumar

Author: Aniket Raj

Paper ID: V10I6-1342

Paper Status: published

Published: December 3, 2024

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Review Paper

Unemployment Trends in India

The increase in the young population due to demographic dividends or the rise in young people seems to be one of the sources of future economic growth in India. Although with the increase in school and college enrolment rates, the proportion of youth in the labor force has been declining their high proportions in the labor force indicate that the problem of youth unemployment and underemployment would remain a serious policy issue for many more years to come in India. During the last two & half decades, from 1983 to 2007-2008, it analyses labor and workforce participation rate trends. Unemployment, joblessness, working poor, growth and employment elasticities, etc. the poor employability of the workforce would hamper the advantages due to demographic dividend if measures are not taken to improve the educational attainment and skill development of the youth. The present paper has focused on the causes of unemployment, various types of unemployment, and possible measures have been suggested.

Published by: Sushmitha M, Deepu.M, Shalini.K, Aswini.B, Rehana Banu

Author: Sushmitha M

Paper ID: V10I5-1272

Paper Status: published

Published: December 3, 2024

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Thesis

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

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Research Paper

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

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Research Paper

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: retracted

Submitted: November 30, 2024

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