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Smart Navigation Stick For Blinds

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Authors: Dr.Vineeta Philip, Manasi Owhal, Piyush Khonde, Soham Khulage

Abstract: Smart Navigation Stick for the Blind is an aid that helps blind or visually impaired people move independently and safely. The system consists of several sensors and communication modules interfaced to an Arduino Uno (SMD) controller for real- time obstacle detection, hazard alerting and emergency mobil- isation purposes. It uses ultrasonic sensors to detect potential obstructions at various distances (i.e., pointing in all directions) and offers timely feedback, aided by the vibration motor and buzzer. Adding a flame sensor is responsible for identifying fire or high-temperature threat, and the inclusion of a level sensor help with water-filled or unlevel surfaces. The user can activate emergency functions when needed using a manual switch. The built-in GPS and GSM modules allow tracking of individual locations in emergency scenarios, as well as auto-issue alert texts to pre-selected people. This is a compact, low-cost energy-efficient and easy-to-use system that can be used every day outdoors or indoors. All in all, the smart navigation stick seeks to elevate situational awareness, safety, and confidence of visually impaired users with intelligent sensing as well as feedback initialized in real time.

DOI: http://doi.org/10.5281/zenodo.20407703

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Design And Implementation Of A Wearable Multimodal Hand Gesture Vocalizer For Assistive Communication

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Authors: Aryan Patel, Era Mane, Tanvi Sonawane, Dr. Vineeta Philip

Abstract: The persons who have difficulties communicating with society because of hearing and speech problems face challenges that restrict their communication ability with society. While sign language is one possible solution, everyone may not comprehend it. The design and application of a low-cost wearable hand gesture vocalizer that produces both visual and aural outputs from predefined hand gestures are presented in this paper. The suggested system uses flex sensors built into a glove to record finger movements, which are then operated by an Arduino Nano microcontroller. An external audio replay module is used to translate recognized gestures into corresponding audio output and display them on a 16×2 I2C-based LCD at the same time. To improve approachability for users with hearing or vision impairments, the system places a strong emphasis on multimodal feedback, appropriate wearable design and un- complicated hardware. The prototype developed shows reliable gesture identification with minimal latency and offers a extensible platform for future improvements.

DOI: http://doi.org/10.5281/zenodo.20407122

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Compensation and Reward Management Practices at Wipro: A Secondary Research Analysis

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Authors: Prachi Saini, Dr. Pooja Kohli

Abstract: This research paper analyzes the compensation and reward management practices of Wipro Limited, a leading multinational information technology company in India. The study is based on secondary data collected from academic journals, industry reports, company publications, and previously published research. It focuses on understanding how Wipro structures its compensation system, including salary components, performance-based incentives, employee benefits, and recognition programs. The paper is supported by key motivational theories such as Maslow’s Hierarchy of Needs, Herzberg’s Two-Factor Theory, and Adams’ Equity Theory. These theories help explain how different types of rewards influence employee motivation, satisfaction, and performance. The findings suggest that Wipro adopts a comprehensive total rewards approach that combines fixed pay, variable pay linked to performance, and a wide range of financial and non-financial benefits. In addition, the company uses formal recognition programs to appreciate employee contributions and encourage high performance. However, the study also identifies certain challenges in Wipro’s compensation system. Issues such as lack of transparency in pay communication, limited personalization of non-monetary rewards, and gaps in career growth opportunities may affect employee satisfaction. The paper suggests that improving communication, offering more customized rewards, and strengthening career development frameworks can help Wipro enhance employee engagement and reduce attrition. Overall, the research highlights the importance of a balanced and transparent reward system in achieving organizational success.

DOI: https://doi.org/10.5281/zenodo.20407064

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Automated Parallel Hybrid Data Extraction and Entity Resolution for Sports Data Aggregation: Architecture, Challenges, and Trade-offs

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Authors: Olalekan Oluyinka

Abstract: This paper presents the design and implementation of an architecture for automated hybrid data extraction, integration, and entity resolution for sports aggregation. The system consolidates inconsistent records from multiple heterogeneous sources into a centralized, deduplicated interface for sports event discovery and streaming access. Data is extracted in real time across seven heterogeneous sources and directly ingested in the automated pipeline. A multi-step entity resolution algorithm, combined with data pre-processing within a Single Source of Truth (SSOT) framework transforms heterogeneous data into a unified, deduplicated index. The architecture employs edge caching and batching to reduce latency and improve operational performance in constrained environments. A prototype further demonstrates the practicality of automated multi-source sports event aggregation through entity resolution.

DOI: https://doi.org/10.5281/zenodo.20406780

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Iot Based Coal Mine Safety Monitoring And Alerting System

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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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Smartphone Remote Detection

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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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Towards Sustainable Cloud Computing: Limitations Of Revenue-Optimized Resource Scheduling Policies

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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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Real-Time Collaborative Code Editor Using WebSockets

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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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Comparative Analysis Of Pixel-Based Segmentation Model For Accurate Detection Of Impacted Teeth

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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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High-performance FPGA- Based ALU Using Reversible And Quantum-inspired Logic

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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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