Category Archives: Uncategorized

Authors: Dr. Bhanu Prakash S V, Dr. Sowmya R

Abstract: Modern crime scenes increasingly operate as cyber–physical systems in which physical evidence is tightly coupled with digital infrastructure, embedded devices, and networked environments. Conventional crime scene investigation methods are insufficient to address threats arising from remote access, data manipulation, and system-level vulnerabilities. This review presents a step-by-step, technology-driven framework that integrates cyber security engineering principles into crime scene investigation to enhance the integrity, reliability, and admissibility of physical evidence. The proposed approach models the crime scene as a cyber–physical system and applies threat modeling, secure system isolation, forensic data acquisition pipelines, cryptographic integrity verification, and cyber–physical correlation mechanisms. Emphasis is placed on reproducibility, system verification, and automated chain-of-custody controls from an engineering perspective.

DOI: https://doi.org/10.5281/zenodo.18755493

 

Published by: vikaspatanker

Authors: Mrs.T.Dheepa, Pradhakshna S, Vigiyalakshmi Muthu, Srividhya K

Abstract: Timely identification of bone tumors plays a vital role in improving diagnosis accuracy and treatment effectiveness. Although deep learning techniques have achieved remarkable success in medical image analysis, their lack of interpretability often restricts their acceptance in clinical environments. This study proposes an Explainable Artificial Intelligence (XAI)–driven framework for bone tumor detection using deep learning models. A convolutional neural network (CNN) is utilized to automatically extract relevant features from medical images such as X-rays or MRI scans to classify tumors into benign and malignant categories. To address the transparency issue, explainability techniques such as Gradient-weighted Class Activation Mapping (Grad-CAM) are incorporated to highlight critical image regions that influence the model’s predictions. These visual explanations assist clinicians in understanding and validating the system’s decisions. The experimental evaluation shows that the proposed model delivers reliable classification performance along with interpretable outputs, thereby supporting clinical decision-making and enhancing trust in AI-assisted diagnostic systems.

DOI: https://doi.org/10.5281/zenodo.18755185

Published by: vikaspatanker

Authors: Mr.C.Radhakrishnan, Suryaprakash S, Thayumanavan A

Abstract: Farmers face the complex challenge of managing multiple, dynamic variables from soil health and weather volatility to pest control and fluctuating market demands all while adhering to strict organic principles that prohibit synthetic chemicals. This project introduces a software platform designed to function as a comprehensive smart assistant specifically for the modern organic farmer. The primary objective is to bridge the gap between complex data and actionable, on-the-ground decisions, empowering farmers to adopt a proactive, data-driven management style. This system is engineered to automatically pull together, or "integrate," multiple crucial data streams. These include detailed soil characteristics from real-time weather conditions and forecasts, and data related to crop health. The platform moves beyond the mere presentation of raw data. It utilizes Artificial Intelligence (AI) to analyze this consolidated information and generate "intelligence"-smart, actionable recommendations. Its intelligence-driven recommendations cover strategic decisions such as what crops to grow (based on soil suitability), in-season farm management (such as organic pest and disease control), and post-harvest strategy (such as identifying the optimal time to sell for maximum profit).The platform is explicitly tailored to the principles of organic farming, ensuring all advice promotes sustainability, enhances soil health naturally, and strictly avoids synthetic inputs. By equipping the modern farmer with accessible technology for data driven decisions, Project aims to significantly improve the efficiency, sustainability, and profitability of organic farming operations.

DOI: https://doi.org/10.5281/zenodo.18755082

Published by: vikaspatanker

Authors: Rakesh Manilal H. Patel, Dr. Anand K. Acharya, Dr. Pankaj Kumar B. Solanki, Dr. Dhinesha Ruwanthi Perera, Dr. Nayanesh A. Gadhavi, Dr. Haresh D. Chaudhari

Abstract: The recent global economic slowdown has led to significant cuts in funding for the humanities and social sciences (HSS). At the same time, students increasingly opt for courses that provide a direct path way to professional careers. Yet, HSS plays a vital role in shaping the economic, social, and cultural well-being of society. Unlike the sciences, whose contributions to industry are more immediately visible, HSS sustains a complex knowledge ecosystem, linking producers and beneficiaries of knowledge in diverse ways. Beyond providing a skilled workforce in business and finance and fostering cultural understanding, HSS is indispensable for (1) Informing public policy and (2) Enhancing social well-being. This role has become even more urgent in the context of rapid advances in information technology (IT). The exponential growth of the Web and mobile communication is reshaping social life across industrialized and developing nations. Emerging technologies such as Google Glass signal a shift toward pervasive and largely invisible augmentation, raising challenges of regulation, monitoring, and ethics. Oxford philosopher Luciano Floridi has described this as a “fourth revolution” in knowledge, where human interaction with reality generates unprecedented ethical concerns. Despite pressures from techno-society and liberal economic values, HSS has advanced a vision of human well-being not reducible to GDP. The contributions of Amartya Sen and Martha Nussbaum on human development highlight broader dimensions of freedom and capability essential for improving the human condition. This paper explores the challenges HSS faces in an IT-driven society and argues that it remains critical for shaping public policy, enhancing social well-being, and guiding the types of technological development that truly advance human flourishing. Key Flow: Crisis & Funding Cuts → Pressure on HSS. HSS responds by providing public policy insights, social well-being frameworks, and critiques of GDP-focused progress. Theoretical foundations from Sen & Nussbaum reinforce human development beyond economics. IT revolution & new technologies raise ethical and regulatory issues. Conclusion: HSS is indispensable for guiding technological and social progress toward human flourishing.

Published by: vikaspatanker

Authors: Rakesh Manilal H. Patel, Dr. Anand K. Acharya, Dr. Pankaj Kumar B. Solanki, Dr. Dhinesha Ruwanthi Perera, Dr. Nayanesh A. Gadhavi, Dr. Haresh D. Chaudhari

Abstract: The recent global economic slowdown has led to significant cuts in funding for the humanities and social sciences (HSS). At the same time, students increasingly opt for courses that provide a direct path way to professional careers. Yet, HSS plays a vital role in shaping the economic, social, and cultural well-being of society. Unlike the sciences, whose contributions to industry are more immediately visible, HSS sustains a complex knowledge ecosystem, linking producers and beneficiaries of knowledge in diverse ways. Beyond providing a skilled workforce in business and finance and fostering cultural understanding, HSS is indispensable for (1) Informing public policy and (2) Enhancing social well-being. This role has become even more urgent in the context of rapid advances in information technology (IT). The exponential growth of the Web and mobile communication is reshaping social life across industrialized and developing nations. Emerging technologies such as Google Glass signal a shift toward pervasive and largely invisible augmentation, raising challenges of regulation, monitoring, and ethics. Oxford philosopher Luciano Floridi has described this as a “fourth revolution” in knowledge, where human interaction with reality generates unprecedented ethical concerns. Despite pressures from techno-society and liberal economic values, HSS has advanced a vision of human well-being not reducible to GDP. The contributions of Amartya Sen and Martha Nussbaum on human development highlight broader dimensions of freedom and capability essential for improving the human condition. This paper explores the challenges HSS faces in an IT-driven society and argues that it remains critical for shaping public policy, enhancing social well-being, and guiding the types of technological development that truly advance human flourishing. Key Flow: Crisis & Funding Cuts → Pressure on HSS. HSS responds by providing public policy insights, social well-being frameworks, and critiques of GDP-focused progress. Theoretical foundations from Sen & Nussbaum reinforce human development beyond economics. IT revolution & new technologies raise ethical and regulatory issues. Conclusion: HSS is indispensable for guiding technological and social progress toward human flourishing.

Published by: vikaspatanker

Authors: Mrs. S. Revathi, Jeyamadheswari B, Kelda A

Abstract: Community healthcare systems often struggle with delayed disease identification, limited interaction between healthcare professionals and citizens, and the absence of real-time local health insights; these challenges result in late medical intervention and increased disease spread, especially at the ward and street level. This paper presents a community-centric health intelligence system for disease monitoring and awareness, a web-based, location- aware platform that leverages Natural Language Processing (NLP) to analyse user-reported symptoms and detect early disease patterns within small geographical communities. The proposed system groups users based on residential wards, processes unstructured text-based symptom data, and applies threshold-based analytics to classify health conditions as normal, awareness needed, or medical camp required. A doctor awareness module enables healthcare professionals to share educational content, schedule medical camps, and monitor community health through an interactive dashboard. The system operates without additional hardware, relies solely on user participation and cloud infrastructure, and aims to strengthen preventive healthcare by enabling early intervention and community-wide awareness. This approach contributes to Sustainable Development Goals (SDG 3: Good Health and Well-being), SDG 9 (Industry, Innovation, and Infrastructure), and SDG 11 (Sustainable Cities and Communities).

DOI: https://doi.org/10.5281/zenodo.18754745

Published by: vikaspatanker

Authors: Mrs K. Lakshmi Devi, S. Nandini, S. Sonia, C. Prashanthi, A. Venkata Suman, K. Sunil

Abstract: Water problems are getting worse in homes and small businesses. Urban sprawl, more people, and poor water management all play a role. The old way of sending someone to check the water and waiting for lab results takes too long. It’s slow, takes a lot of effort, and only gives you a quick peek at what’s actually going on. Meanwhile, people end up using dirty water or wasting it without even knowing. Here comes this new project. Act as an IoT-powered Smart Water Monitoring System, built around an ESP32 microcontroller. It teams up with sensors that track TDS, turbidity, temperature, and flow. The system sends live data straight to the cloud, so you can see what’s happening in real time on your phone. You get both instant updates and a record of what’s happened over time. Safety’s built in. If the water gets too murky, the system shuts off the pump automatically. It also keeps an eye on water flow to catch leaks or weird usage patterns before things get out of hand. The whole setup is modular, affordable, and easy to scale up, perfect for homes, apartments, or small businesses. With real-time monitoring, smart controls, and cloud analytics all working together, you get safer water, less waste, and a smarter way to manage one of our most important resources.

 

Published by: vikaspatanker

Authors: P. Pradeep Kumar, A. Archana G, Usha Sree A, Jayachandra C. , Mohan Krishna

Abstract: Public transport buses in India face critical safety challenges, with over 130 fatalities recorded in bus fire accidents since 2013 and hundreds of fog-related collisions occurring annually during winter months. Current safety systems are inadequate, with non-functional fire extinguishers, blocked emergency exits, and poor visibility conditions contributing to preventable deaths. This paper proposes an integrated multi-sensor safety architecture that addresses three primary hazards: fog-induced collisions, onboard fire emergencies, and delayed evacuation during accidents. The proposed system employs LiDAR (Light Detection and Ranging) technology for real-time obstacle detection and collision avoidance in low-visibility conditions caused by dense fog or heavy rainfall. Unlike conventional camera-based systems that fail in adverse weather, LiDAR sensors penetrate fog particles and provide accurate distance measurements up to 300 meters, triggering graduated visual and audible alerts to prevent collisions. For fire safety, the system integrates multi-zone automatic fire detection and suppression using temperature sensors and smoke detectors connected to solenoid-controlled water mist nozzles distributed throughout the passenger compartment. Upon detecting fire conditions, the system automatically activates suppression mechanisms within 3-10 seconds while simultaneously triggering emergency evacuation protocols. The automated emergency evacuation system features motorized rear-frame emergency doors designed to open upward using linear actuators, eliminating manual operation delays during panic situations. Additionally, the system incorporates an automated hydrophobic coating spray mechanism for the driver's windshield that dispenses nano-coating solution to create water-beading effects,significantly improving driver visibility. The complete system is controlled by an ESP32 microcontroller with modular firmware architecture, enabling real-time sensor fusion and decision-making algorithms. This integrated approach provides comprehensive safety enhancement at an estimated implementation cost significantly lower than deploying separate commercial systems.

DOI: https://doi.org/10.5281/zenodo.18753773

 

Published by: vikaspatanker

Authors: Mrs.S.Subha, Jeeva Pandiyan S, Kaviyarasan E, Najeeb Ahmed S

Abstract: The AI-Powered Platform for Personal Finance aims to simplify and enhance individual financial management through intelligent, data-driven solutions. The platform utilizes artificial intelligence and machine learning algorithms to examine user financial records such as income, expenditures, savings, and investment behavior. Based on these analyses, the system generates personalized budgeting strategies, spending insights, and predictive forecasts to support better financial decision-making. Natural language processing is incorporated to enable intuitive, conversational interaction, allowing users to access financial guidance in real time. In addition, advanced analytics help identify potential financial risks and opportunities, assisting users in optimizing savings and investment plans. Strong security measures and privacy-aware data handling techniques are embedded to protect sensitive financial information and ensure compliance with regulatory standards. Performance evaluation indicates that the platform significantly improves financial awareness, encourages disciplined spending habits, and enhances long-term financial planning. Overall, the proposed AI-based personal finance platform provides a scalable, secure, and intelligent approach to managing personal finances, empowering users with actionable insights for achieving financial stability and sustainable economic growth.

DOI: https://doi.org/10.5281/zenodo.18753748

Published by: vikaspatanker

Authors: Akshada Ashok Bhor, Vaishnavi Arun Jadhav, Pranali Suresh Vadaje, Urvashi Raosaheb Mahajan, Prof Dr. Monika Deshmukh

Abstract: Women’s safety is a major socio-technological concern globally, with increasing cases of harassment, assault, and threats both in public and private spaces. There is a growing need for innovative solutions that ensure protection, provide quick assistance, and evaluate environmental risks. This project introduces a comprehensive Women Safety and Evaluation System that utilizes modern technologies such as GPS tracking, emergency communication, real-time alert generation, and data-based safety evaluation. The system allows users to trigger emergency alerts, share live location with trusted contacts, and notify authorities instantly. Additionally, it incorporates evaluation mechanisms to analyze unsafe zones based on past incidents, user feedback, and contextual factors. By integrating these features, the project provides a proactive and reactive safety framework aimed at minimizing response time, preventing harm, and enhancing awareness. The objective of this system is to create a secure environment where women feel protected, confident, and supported. The solution serves as a technological bridge between victims and responders, promoting safety, empowerment, and a more secure society.

DOI: https://doi.org/10.5281/zenodo.18753530

Published by: vikaspatanker