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QR-Attendance System with Geo-Location

The study outlines the development, deployment, and assessment of an innovative attendance management system based on QR codes integrated with geo-location verification specifically for educational institutions. This system addresses key shortcomings of traditional attendance tracking by incorporating Quick Response (QR) technology alongside geo-location validation and real-time photo capture. Through an extensive evaluation conducted with 500 students over three academic terms, the system achieved a 99.2% accuracy rate in tracking attendance. It reduced fraudulent attendance attempts by 97% compared to assessing academic performance. Conventional methods like manual roll-calls and card-based systems face substantial challenges related to efficiency, accuracy, and preventing fraud. Recent research suggests that around 15-20% of attendance records in traditional systems may be unreliable due to proxy attendance (Johonson et al., 2023).

Published by: Soni Kumari, Piyush Kumar

Author: Soni Kumari

Paper ID: V10I6-1279

Paper Status: published

Published: November 22, 2024

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Research Paper

Formal Verification Methods for Safety-Critical VLSI Design in Avionics Systems

In modern avionics systems, ensuring the safety and reliability of hardware designs is paramount. Safety-critical components in aviation must meet stringent standards, as failures can have catastrophic consequences. Formal verification methods, including model checking, theorem proving, and equivalence checking, offer a mathematical approach to ensure that VLSI (Very Large-Scale Integration) designs meet their specifications without flaws. This paper explores formal verification methods applied to VLSI designs in avionics systems, discussing their role in adhering to certification standards, comparing different techniques, and providing real-world examples of their use in the aerospace industry.

Published by: Gowravajjula Sri Rama Chandra Karthik

Author: Gowravajjula Sri Rama Chandra Karthik

Paper ID: V10I5-1380

Paper Status: published

Published: November 19, 2024

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Research Paper

Efficacy of a Topical Ayurvedic Preparation (Zandu Vaporizing Cold Rub) – Relief from Cold and Associated Symptoms

Zandu Vaporising Cold Rub is a topical Ayurvedic preparation containing active ingredients such as camphor, turpentine oil, eucalyptus oil, and menthol. This study aims to evaluate the product’s claims as an over-the-counter (OTC) remedy for cold and pain relief. A prospective, open-label, phase 4 study was conducted with consenting adults (n=30) experiencing cold-related symptoms. Each participant received one bottle of the product and used it over a 6-day period. Efficacy was measured through a visual analogue scale on days 0, 2, 4, and 6. The results showed a significant reduction in symptoms of a blocked nose, cold, and congestion within 2 days, and a reduction in cold-related headaches by day 6 (p < 0.001). Conclusion : Zandu Vaporising Cold Rub is an effective treatment for cold and its associated symptoms.

Published by: Dr . G. Gandhimathi, Chandra Mohan Nandi, Sadaf Nadeem

Author: Dr . G. Gandhimathi

Paper ID: V10I6-1228

Paper Status: published

Published: November 18, 2024

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Research Paper

Efficacy of a Topical Ayurvedic Preparation (Zandu Pain Relief Gel Ultra Strong) – Relief from the Symptoms of Joint Pain , Back Pain and Sprain

Zandu Pain Relief Gel Ultra Strong is a topical ayurvedic formulation comprising active ingredients such as Mentha sp. - Satva, Cinnamomum camphora - Satva, Trachyspermum ammi - Satva, Gaultheria fragrantissima - OL., Eucalyptus globulus - OL., Pinus longifolia - OL., Syzygium aromaticum - OL., Capsicum annum - Satva, Boswellia serrata - Oleo-Gum-Resin, Rosmarinus officinalis - OL., Zingiber officinale - Oleo-Resin, Linum usitatissimum - OL., Benzyl alcohol, Base: q.s.This study aims to evaluate the efficacy of this over-the-counter (OTC) product for relieving symptoms of joint pain, back pain, and sprain. A prospective, open-label, phase 4 study was conducted with consenting adults (n=30) experiencing symptoms of joint pain, back pain, and sprain. Each participant received one tube of the product to use over a 6-day period and provided feedback on its effectiveness using a visual analogue scale. Efficacy scores were recorded on days 0, 2, 4, and 6. Results showed significant relief from joint pain, back pain, and sprain within 2 days, with further reductions observed by day 6 (p < 0.001). Conclusion: Zandu Pain Relief Gel Ultra Strong is an effective remedy for alleviating the symptoms of joint pain, back pain, and sprain.

Published by: Dr. G. Gandhimathi, Chandra Mohan Nandi, Sadaf Nadeem

Author: Dr. G. Gandhimathi

Paper ID: V10I6-1226

Paper Status: published

Published: November 18, 2024

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Research Paper

Efficacy of a Topical Ayurvedic Preparation (Zandu Universal Oil) – Relief from Cold and Associated Symptoms

Zandu Universal Oil is a topical ayurvedic formulation comprising active ingredients such as Mentha sp., Gaultheria fragrantissima, Cinnamomum camphora, Eucalyptus globulus, Melaleuca leucadendron, Elettaria cardamomum oil, and Capsicum annuum in a base (q.s.). This study aims to evaluate the efficacy of this over-the-counter (OTC) product for relieving symptoms of cold and pain. A prospective, open-label, phase 4 study was conducted with consenting adults (n=30) who were experiencing cold-related symptoms. Each participant received one bottle of the product to use over a 6-day period and provided feedback on its effectiveness using a visual analogue scale. Efficacy scores were recorded on days 0, 2, 4, and 6. Results showed significant relief from cold and nasal congestion within 2 days, and a reduction in headache and body pain ( measured as backache) associated with cold by day 6 (p <0.001). Conclusion: Zandu Universal Oil is an effective remedy for alleviating cold symptoms and associated discomfort.

Published by: Dr. G.Gandhimathi, Chandra Mohan Nandi, Sadaf Nadeem

Author: Dr. G.Gandhimathi

Paper ID: V10I6-1227

Paper Status: published

Published: November 18, 2024

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Research Paper

AI in Assembly Level Security Testing

Ensuring their security has become a critical challenge with the increasing complexity of modern software systems. Assembly-level security testing plays a crucial role in identifying vulnerabilities at the lowest layer of the code, where many sophisticated attacks can occur. This research investigates the application of artificial intelligence (AI) techniques in enhancing assembly-level security testing. We explore how AI, specifically machine learning models, can be leveraged to automate the detection of security flaws in assembly code by analyzing instruction patterns, control flow, and memory access behaviors. The paper presents a novel approach combining deep learning and static analysis tools to identify vulnerabilities such as buffer overflows, race conditions, and improper memory accesses. Experimental results show that AI-based techniques can significantly reduce the time and effort required for security analysis while improving the accuracy of vulnerability detection. Additionally, we discuss the challenges and limitations of applying AI in this context, particularly in terms of interpretability and integration with existing security tools. The findings highlight the potential of AI to revolutionize assembly-level security testing, paving the way for more efficient and robust vulnerability detection in low-level software development.

Published by: Shiwangi Soni

Author: Shiwangi Soni

Paper ID: V10I6-1254

Paper Status: published

Published: November 18, 2024

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