Category Archives: Uncategorized

Authors: Hari Priya S, Mrudhul NR, Saran H, Subarssini V, Vishal K

Abstract: Coal mining is one of the most hazardous industries, with risks such as gas leaks, rising underground temperatures, flooding, poor air quality, and structural hazards. This paper presents an IoT-based Coal Mine Safety Monitoring and Alerting System that continuously monitors environmental conditions and provides real-time alerts to miners and supervisors. The system employs sensors to detect gases (MQ-4, MQ-7, MQ-135), temperature and humidity (DHT11, DHT22), water levels (float switch, conductivity sensor) all integrated with an ESP32 microcontroller. Sensor data is transmitted via LoRa communication modules to a central monitoring unit, where it is analysed for any signs of danger. When hazardous conditions are detected, alerts are sent instantly through visual, auditory, or wireless notifications. Compared to conventional wired systems, this IoT-based approach offers greater reliability, faster response times, and reduced costs. By enabling proactive safety management, the system helps prevent accidents and injuries while improving operational oversight, ultimately supporting safer and more sustainable mining practices.

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Authors: Arya Parashram Kamble, Akshata Hemant Bansode, Vaishnavi Vitthal Shinde, Mrs D.N Ghatage

Abstract: Smartphones have become an essential part of daily life, storing sensitive personal information and enabling communication, navigation, and financial transactions. However, increasing smartphone usage has also led to serious concerns such as device theft, loss, and personal safety risks. Existing applications provide limited functionality and fail to offer a complete solution for real-time monitoring and emergency response. This paper presents a Smartphone Remote Detection System (Safety Guard) that provides an integrated platform for device tracking, remote control, and emergency assistance. The system is developed using Flutter and Firebase technologies, enabling real-time data synchronization, push notifications, and background processing. The application allows users to track device location, send remote commands such as ring, vibrate, and lock, and trigger SOS alerts to notify supporters and authorities.The system ensures continuous operation even when running in the background, making it reliable in critical situations. Additionally, it includes a complaint management module to report incidents effectively. The proposed solution enhances both personal safety and device security by providing a fast, efficient, and user-friendly system for real-time monitoring and emergency response.

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Authors: Dr. Megala.R, Dr.D. Balasubramanian

Abstract: Cloud computing has become an essential platform for delivering scalable and on-demand computational services. However, most existing cloud resource scheduling policies are designed primarily to maximize provider revenue and infrastructure utilization, often neglecting sustainability concerns such as energy efficiency, carbon reduction, thermal management, and fair resource allocation. This paper critically examines the limitations of revenue-optimized resource scheduling policies in cloud computing environments. The study evaluates traditional scheduling techniques including First-Come-First-Serve (FCFS), Round Robin, Priority Scheduling, and profit-aware heuristic scheduling approaches. Major issues identified include excessive power consumption, increased carbon emissions, resource starvation, thermal imbalance, and reduced long-term infrastructure sustainability. To address these limitations, a Sustainable Multi-Objective Scheduling Framework (SMOSF) is proposed that integrates energy efficiency, QoS maintenance, fairness, and profitability objectives. Comparative analysis demonstrates that sustainability-aware scheduling policies can significantly reduce energy consumption and environmental impact while maintaining acceptable service quality and operational profitability. The proposed framework contributes to the advancement of green cloud computing and sustainable data center management.

DOI: http://doi.org/10.5281/zenodo.20404448

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Authors: Pruthviraj Pawar, Niranjan Rasal, Pruthviraj Deshmukh, S. B. Dighe

Abstract: Collaborative programming platforms are becoming increasingly important in modern software development, online education, and distributed teamwork environments. Traditional methods such as manual file sharing, screen sharing, or repeated version control synchronization are often inefficient during live coding sessions. This paper presents the design and implementa- tion of a Real-Time Collaborative Code Editor developed using WebSockets and Socket.IO. The proposed system allows multiple users to edit source code simultaneously through a browser-based interface with minimal synchronization delay. The frontend is developed using HTML, CSS, JavaScript, and Monaco Editor, while the back- end is implemented using Node.js and Express.js. Socket.IO is used to establish persistent bidirectional communication between connected clients and the server. Experimental observations demonstrate synchronization la- tency below 100 milliseconds under normal conditions. Perfor- mance analysis confirms that WebSocket-based communication provides significantly lower delay and better bandwidth efficiency than traditional HTTP polling techniques.

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Authors: Dr. Deepika, Sneha K M, Sudhanshu Sharma, Sujendra T R, Varshini J

Abstract: Impacted teeth, particularly third molars that fail to erupt properly due to insufficient space or improper angulation, represent a common dental condition that can lead to severe complications including infection, cyst formation, and damage to adjacent structures. Traditional diagnosis relies heavily on manual interpretation of panoramic dental X-ray images by clinicians, a process that is time-consuming, subject to human variability, and lacks pixel-level precision. This paper presents an AI-based impacted tooth detection system using the U-Net deep learning architecture, a convolutional neural network specifically designed for biomedical image segmentation. The proposed system performs pixel-level segmentation of impacted tooth regions from panoramic dental X-ray images, providing precise boundary delineation that conventional object detection methods cannot achieve. The system integrates data annotation, model training using PyTorch, and deployment via a Flask-based web application into a unified end-to-end pipeline. Preprocessing steps including grayscale conversion, resizing to 256 × 256 pixels, and pixel normalization ensure consistent input quality. The trained model achieved an overall segmentation accuracy of approximately 87%, with precision of 85%, recall of 89%, and an F1-score of 87%. Experimental results and confusion matrix analysis confirm that the proposed system reliably detects impacted tooth regions while maintaining a low rate of false predictions. The system demonstrates strong real-time performance through a user-friendly web interface, making it a practical diagnostic support tool for dental professionals.

DOI: http://doi.org/10.5281/zenodo.20395549

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Authors: Mr. B. Ajantha Reddy, Mr. A. Prasad, Dr. A. Ranganayakulu, Pagadala Ananthalakshmi, Jestadi Divya Jyothika, Vyja Swetha, Bathula Persis

Abstract: Computing devices, mobile phones, and computers all rely on the Arithmetic Logic Unit (ALU), a critical subsystem inside processors, to carry out the arithmetic and logical operations necessary for digital system operations. There is an urgent need for more energy-efficient alternatives in digital system design to standard ALUs designed using non-reversible logic gates, which are known for their considerable power consumption. Our proposed solution to this problem is a 32-bit ALU that makes use of reversible logic gates; this will allow us to cut down on power consumption while simultaneously increasing computing performance. Our suggested 32-bit ALU uses reversible logic gates to provide a solution that reduces power consumption and increases computational efficiency; this should lead to a revolution in digital system design. Not only do we want to reduce power consumption, but we also want to increase the ALU's usefulness and adaptability in other computing contexts by adding a full set of sixteen separate operations. Our goal is to set a new standard for ALU design with this novel method, one that puts computing power and power efficiency first. Our 32-bit ALU's use of reversible logic gates is a giant leap forward in the quest for power-efficient digital computers that don't sacrifice processing capability. We seek to solve the essential demand for energy-efficient solutions in today's technology-driven world by contributing to the progress of digital system design with painstaking attention to detail and a focus on innovation. Metaphors: Arithmetic Logic Unit (ALU), Reversible Logic Gates, Digital System Design, Energy Efficiency, Versatility, Innovative Architecture, Low Power Consumption, Computational Performance.

DOI: http://doi.org/10.5281/zenodo.20394930

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Authors: Dr. A. Ranganayakulu, Mr. A. Prasad, M. Ramana Reddy, B. Ajanta Reddy, Dr. D. Satya Narayana

Abstract: Using efficient finite field multipliers becomes vital in elliptic curve cryptography (ECC), where data security and authentication are critical. These multipliers do affect performance, however, because they use quite a lot of hardware resources. The Karatsuba algorithm and its variations are explored in this study as a means to enhance hardware efficiency on FPGA devices. Although performance is improved with the overlap-free Karatsuba algorithm. Problems with recombining intermediate findings cause them to add 20% mistakes. We present a modified Karatsuba method that can compute four key outputs for 2-bit inputs error-free to solve this problem. The revised design tested on Artix-7 FPGA and implemented in Verilog HDL, cuts power consumption by 73.95% and area utilization by 95% when compared to the original Karatsuba algorithm. Its overall efficiency is much improved while accuracy is guaranteed, despite a 3.22% increase in area and an 11.12% increase in power compared to the overlap-free version.

DOI: http://doi.org/10.5281/zenodo.20394919

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Authors: Mr.N.B.Jilani, Mr.M.Ramana Reddy, Dudekula Chinna Khasim Vali, Nukala Sai Kumar, Shaik Mahaboob Subhani, Pengani Ganesh, Uppaladinne Ram Charan

Abstract: Accurately locating faults in subterranean cable connections is a prevalent challenge, particularly in cities, and the suggested approach aims to tackle this problem. A power supply and an Arduino microcontroller kit form the basis of the system, which measures the wire length in kilometers using current measurement circuits linked to the microcontroller's Analog to Digital Convertors (ADC) device. A relay circuit is used to regulate the relays, and switches are employed to simulate faults. You can see the specifics of the issue as they happen on a 16×2 LCD screen. Short circuit problems in the underground cable may be caused by environmental factors such as rain, subterranean pollution, drain leakage, and so on. Among the many possible problems with subterranean cable, the identification of short circuit faults is the primary emphasis of this work. By monitoring voltage variations across the resistor and calculating the distance from the source feed point, the ADC digitizes the data and displays it on the LCD, pinpointing the exact position of the short circuit defect. The Wi-Fi module 8266 helps to save the specifics of the defect location in the cloud, allowing for subsequent investigation. Because of this, the suggested design for the Arduino microcontroller can pinpoint the precise location of the problem in terms of kilometers from the base station. Additionally, in the event of a malfunction, a buzzer alerts field personnel to the urgency of the situation. This innovative approach provides a dependable and efficient means of locating and identifying issues with underground cable cables. This reduces downtime and facilitates service.

DOI: http://doi.org/10.5281/zenodo.20394874

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Authors: Dr.P.Prasanna Murali Krishna, Mrs.N.Swarupa Rani, Mudamala Manoj, Dudekula Mastan Vali, Patibandla Jayanth, Baddigam Koti Reddy

Abstract: The Xilinx Zynq-7000 system on a chip (SoC) is the basis for the home automation system described in this article. The FSM logic processes the signals from the sensors (the fire sensor requires 5V digital and the buzzer 5-12V) using Verilog HDL. The RTL schematics and waveforms were validated using Cadence tools. The three-second detection threshold for fire and intruder alarms is one of the most important features, along with automatic lighting and temperature adjustment. The scalability of the modular system allows for the easy integration of more devices, which in turn increases functionality and security.

DOI: http://doi.org/10.5281/zenodo.20394814

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Authors: Prof. Mahesh Dumbere, Vivek Thakre, Pratik Patil, Ritesh Magare, Mahesh Gajbhiye

Abstract: The demand for effective delivery route optimization has grown due to the quick expansion of online meal delivery services. In order to reduce delivery time and expense, this study suggests a web-based meal delivery system that makes use of the Travelling Salesman Problem (TSP). For a delivery agent to visit several clients and return to the starting point, the system calculates the quickest path. To solve TSP, a variety of algorithms are examined, including Nearest Neighbor, Genetic Algorithm, and Dynamic Programming. The suggested solution increases customer satisfaction, lowers fuel consumption, and improves delivery efficiency. According to experimental results, optimized routing performs noticeably better than conventional delivery techniques.

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