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Experimental Study On Stabilization of Subgrade Soil And Pavement Design

This paper presents an experimental study aimed at stabilizing black cotton soil using a sustainable and cost-effective combination of steel slag and seashell powder. The objective is to enhance its engineering properties, particularly the California Bearing Ratio for applications in road construction. The untreated black cotton soil, having a CBR of 5.8%, showed a significant improvement with the addition of 25% stabilizer mix, achieving a peak CBR value of 11.6%. The study emphasizes the dual benefits of improving soil properties while utilizing industrial and marine waste materials, promoting eco-friendly construction practices.

Published by: Dinesh Patil, Shubham Janwade, Aviraj Jadhav, Ashish Ghogare, Vrashabh Gurav, Sagar E. Bhoyar

Author: Dinesh Patil

Paper ID: V11I2-1392

Paper Status: published

Published: April 30, 2025

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Research Paper

Automated Home Security and Intruder Detection System using IoT

This paper addresses how sensor networks and machine learning create disruptive synergies in intruder detection due to targeted improved accuracy, minimized false positives, and real-time optimization. A literature review is offered on how the methodologies of intruder detection systems changed, with emphasis on the prime symbiosis that machine learning algorithms share with sensor networks. Methodologically, various sets of datasets has been utilized in training with strong preprocessing techniques utilized for enhancing data. The discriminative features that are useful in intrusion detection restrict the feature selection with emphasis on such features. The central task, here, is machine learning models formulated and implemented in the sensor network scenario. Hence, the mechanism of anomaly detection, adopted in the intrusion detection algorithm, provides intruder identification in real time with negligible latency in both time and accuracy. The test platform is relentlessly pounded into all the situations applicable to actual authentication parameters of the system, e.g., precision, false alarms, and elapsed time, under heavy scrutiny. The effects encompass tremendous enhancement in detection efficiency, grossly minimized false alarms, and excellent improvements in real-time response. An Innovative one from the intruder detection system viewpoint enters the educational world when talking about an implementable solution which highly likely can revolutionize physical security. It is flexible to different situations and even finds itself capable of being put inside already available structures, and thus it brings the prospect of being an immensely revolutionary point in this arena that would continue further with machine learning and sensor network incorporation for smart provisions of security.

Published by: Paraansh Nisar

Author: Paraansh Nisar

Paper ID: V11I2-1390

Paper Status: published

Published: April 30, 2025

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Research Paper

The Balance of Powers in Modern Democracies

The Constitution of India, adopted in 1950, reflects an intricate balance between flexibility and rigidity, designed to adapt to evolving socio-political realities while preserving the foundational values of democracy, federalism, and rule of law. This research paper examines the constitutional amendment process under Article 368, the role of Parliament and Judiciary in maintaining constitutional balance, the evolution of the 'basic structure' doctrine, and comparative approaches from other federal systems. It critically analyses the challenges posed by political motives, judicial interpretations, and the need to protect fundamental constitutional ideals, offering recommendations for strengthening constitutional integrity.

Published by: Raghav Gautam

Author: Raghav Gautam

Paper ID: V11I2-1397

Paper Status: published

Published: April 30, 2025

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Research Paper

PowerLift: Generating Energy through Gym

As the need for sustainable energy solutions increases, this study investigates a new method for combining fitness with renewable energy production. The suggested system transforms human physical effort in exercise into electrical energy by utilizing a lat pulldown machine linked to a pneumatic energy collection device. A piston-cylinder apparatus compresses air while the user raises and lowers weights, storing it in a pressure tank. The compressed air is subsequently expelled through a turbine that powers an alternator to produce alternating current (AC) electricity. The produced AC is converted to DC, stored in a battery bank, and subsequently transformed back to AC with an inverter for distribution to the grid. The generated energy is saved in batteries or capacitors and can be used to power the gym's lighting, HVAC systems, or even fed back into the local power grid. A power tracking system is incorporated to oversee electricity generation, connecting energy output to specific users via RFID or biometric verification. Users are motivated by a reward program, where energy contributions result in reduced gym fees. This system encourages physical exercise while also improving energy sustainability by decreasing the gym's dependence on traditional power sources.

Published by: Rishika Pathak, Vasant Parab, Sneha Shinde, Shrikant Jagtap, Vishwadeep Sardar, Vinay Koshti, Nidhish Dangare, Vaibhavi Taras, Jitesh Gond, C. M. Chaudhari

Author: Rishika Pathak

Paper ID: V11I2-1381

Paper Status: published

Published: April 29, 2025

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Research Paper

Comparing AC vs DC Systems for Electrocoagulation of Microplastics in Waterbodies – An Innovative Solution

The efficiency of the removal of microplastics from water by using the generated EC from AC and DC systems is theoretically examined through this experiment. Microplastics are among the most frequently known environmental polluters that threaten aquatic life and human health. Electrocoagulation seems to be a promising method for the considerable removal of pollutants by exploiting the coagulative properties through electrochemically produced ions. The paper compares the efficacy of coagulation, energy consumption, and water quality after the treatment in AC and DC setups suggesting innovation to optimise the efficiency as well as sustainability of removal.

Published by: Atishaya Gupta, Agastyaa Goradia

Author: Atishaya Gupta

Paper ID: V11I2-1377

Paper Status: published

Published: April 29, 2025

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Research Paper

A Real Time Driver Safety for Preventing Drowsiness Using Ear Algorithm and Truck Load Monitoring Alcohol Detections & Alert System

This study presents a real-time driver safety system that integrates drowsiness detection, alcohol impairment prevention, and truck load monitoring. The system employs an Eye Aspect Ratio (EAR) algorithm to detect driver fatigue by analyzing eye movement patterns, triggering alerts when drowsiness is detected. Additionally, an alcohol sensor prevents vehicle ignition if alcohol is detected, and load cell sensors monitor truck weight to prevent overloading. A GSM-based alert mechanism enhances communication by sending real-time alerts. The system aims to reduce road accidents by integrating these technologies into an intelligent safety framework. Experimental results demonstrate the effectiveness of the system in enhancing road safety.

Published by: Boya Indu, Konduru Munisai, K. Praveen, T V Balarama Krishna

Author: Boya Indu

Paper ID: V11I2-1244

Paper Status: published

Published: April 29, 2025

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