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EV BMS with Charge Monitoring and Fire Protection

In the silent heartbeat of our electrified era, lithium-ion batteries hum with potential and peril, their compact chemistry balancing progress on the knife’s edge of combustion. As thermal runaway lurks—unseen, unbidden, catastrophic—the Battery Management System (BMS) emerges not as a passive overseer but as an intelligent, multi-layered oracle of prevention, prediction, and protection. Within this chaotic choreography of heat, gas, pressure, and current, sensors become storytellers, whispering the earliest murmurs of disaster; algorithms, trained on the echoes of past failures, thread together anomalies into foresight; and suppression technologies, ever-vigilant, stand ready to suffocate the spark before it breathes. This paper explores the hybrid symphony of emergent AI, sensor fusion, and real-time control systems, where layered architectures form not just circuits, but cybernetic guardians. No longer are BMS mere managers; they are sentinels, anatomies of foresight crafted in silicon and code, promising not just energy, but safe, self-aware power in a world increasingly defined by its electric pulse.

Published by: Navajeevan, Rakesh, Sandeep M, Vishal T, Tenson Jose

Author: Navajeevan

Paper ID: V11I3-1251

Paper Status: published

Published: May 28, 2025

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Research Paper

Anti-Face Spoofing Detection using Texture and Eye Blink Parameters

Growing reliance on facial recognition for secure authentication in various applications, ensuring that facial inputs are genuine and not spoofed using photos, videos, or masks has become critical. This work introduces a real-time anti-face spoofing detection system that harnesses computer vision and deep learning to verify the liveness of facial inputs. The system integrates Media Pipe Face Mesh for accurate facial landmark detection, a Convolutional Neural Network (CNN) for classifying real vs fake faces, and eye blink detection using Eye Aspect Ratio (EAR) to further enhance liveness verification. Additionally, a texture analysis module and motion blur detection help assess image quality and prevent spoofing attempts through printed photos or video replays. A dynamic overlay displays relevant metrics such as EAR, texture score, model confidence, and blur score, aiding both real-time feedback and system transparency. The interface includes a timestamp module and real-time performance chart for enhanced monitoring. This robust solution contributes to secure biometric authentication by combining multiple detection layers for high accuracy in face liveness classification.

Published by: Abhishekayya Kambi, Ankit Ronad, Sumanth Mudegoudra, Dr Vidyagouri B

Author: Abhishekayya Kambi

Paper ID: V11I3-1203

Paper Status: published

Published: May 27, 2025

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Research Paper

Public Perception of Justice and Its Influence on The Legal System

This paper explores the influence of public perception on the legal system, particularly in democratic nations where public opinion is crucial for legal policy reforms. It evaluates how factors such as issue salience, media portrayal, and sentiment can affect public perceptions of justice, thus influencing legal change. Through examples like the George Floyd, ‘Black Lives Matter’ movement case, this research reveals that while public opinion can create significant legal reforms, such changes can be fleeting as public focus or salience shifts. Furthermore, the paper delves into the role politics and interest groups play in either strengthening or hindering the influence of public opinion on legal systems. Although a relationship between public opinion and legal change clearly exists, the significance of this influence is still uncertain, emphasising the need for further research.earch.

Published by: Avani Malhotra

Author: Avani Malhotra

Paper ID: V11I3-1238

Paper Status: published

Published: May 27, 2025

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Research Paper

Deep Search: An Intelligent File Searching through Content Analysis

Real-time full-text search holds essential value in current digital libraries because it helps users find documents with content rather than names [1]. Users can perform content-based searches that reveal files through the extraction of textual contents within documents and optimize the retrieval process for research databases as well as legal document search and enterprise knowledge management solutions [2]. A full-text search technique-powered document retrieval system, which seeks to create a content-based file searching mechanism, is analyzed within this report. These search systems implement ranking as their main step to evaluate document relevance through the combination of term frequency and document length analysis with inverse document frequency factors [3]. The foundation for improving search accuracy and efficiency depends heavily on knowledge about directory creation as well as score calculation methods. The research also explores performance comparison between Whoosh and Elasticsearch regarding their scaling capabilities and their abilities to index data and respond to search queries and rank results [4]. Whoosh functions best for compact document sets, yet Elasticsearch delivers real-time search functionality for extensive data collections. The final report will present the most effective solution for creating a content-based search system with high performance levels for various application domains.

Published by: Nachiket Parjane, Kartik Patare, Rohan Ingle, Renuka Wakhare

Author: Nachiket Parjane

Paper ID: V11I3-1240

Paper Status: published

Published: May 25, 2025

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Research Paper

The Effect of Dollarization on the Argentine Economy- A Global Analysis

This research paper looks at the possible social and economic impacts of the implementation of the American Dollar in Argentina, through the use of a comparative analysis, between 5 different countries that have implemented numerous forms of dollarization. After an analysis of the socio-economic factors of El Savador, Ecuador, Cambodia, Panama and Zimbabwe, the researcher makes a conclusion on the benefits and harms of the implementation of the dollar. The historical analysis provides insight into the various policy reformation decisions made by different countries across the globe, to combat one major problem, inflation, all with the desire to achieve economic stability. This research paper looks at the applicability of the dollar in the Argentine economy, white analyzing and evaluating economic policy decisions throughout Argentine history. The research paper also finds out that economic prosperity is not a byproduct of simply the geographic location, natural resources or its culture, but rather the effectiveness of the political and economic institutions that govern the country.

Published by: Kevin Isaac

Author: Kevin Isaac

Paper ID: V11I2-1396

Paper Status: published

Published: May 25, 2025

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Research Paper

Modern Web 3.0 Blockchain Applications: Healthcare for Enhancing Privacy, Smart Contracts, and Cryptocurrency

Federated Learning (FL) has emerged as a promising approach for training machine learning models while preserving privacy, particularly in Internet of Things (IoT)-based environments such as healthcare. However, FL alone is insufficient for addressing all privacy challenges. This paper explores the integration of blockchain technology with FL to enhance privacy in Smart Healthcare Systems. Key contributions include a blockchain-enabled model for storage, aggregation, and gradient sharing; implementation of sidechains to improve transaction speed and reduce computational overhead; and the use of smart contracts for secure access control. The study proposes a scalable, privacy-preserving framework that aligns with healthcare regulations and supports collaborative AI applications, ultimately improving patient care and medical research.

Published by: Namandeep Gupta, Aditya Singh Rathore, Mayank Choudhary

Author: Namandeep Gupta

Paper ID: V11I3-1213

Paper Status: published

Published: May 23, 2025

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