Authors: Rizwan Majeed

Abstract: The digital infrastructure of the 21st century has undergone a metamorphosis so profound that the security paradigms of the previous decades are not merely inefficient—they are dangerously obsolete. The traditional "castle-and-moat" model, which concentrated defensive resources on a hardened network perimeter while assuming implicit trust for all internal traffic, has collapsed under the weight of cloud computing, mobile workforces, and the proliferation of the Internet of Things (IoT). In its place, Zero Trust Architecture (ZTA) has emerged as the definitive framework for securing the modern enterprise. Unlike legacy models that relied on physical or network location as a proxy for trust, Zero Trust operates on the rigorous axiom of "Never Trust, Always Verify." This report offers an exhaustive examination of the Zero Trust landscape, tracing its intellectual genealogy from academic theory to the boardrooms of global corporations. It explores the operational complexities of replacing legacy Virtual Private Networks (VPNs) with Zero Trust Network Access (ZTNA), and analyses the critical role of Artificial Intelligence (AI) in automating dynamic policy enforcement. Furthermore, it addresses the existential threat posed by quantum computing, outlining the necessary migration to Post-Quantum Cryptography (PQC). By synthesizing historical context, technical specifications, and future market trends, this document serves as a foundational text for understanding Zero Trust not as a product, but as a strategic imperative for institutional resilience.

DOI: https://doi.org/10.5281/zenodo.18711740

Published by: vikaspatanker

Authors: Mr. Sandeep Ramesh Sonaskar, Ms. Mohini Fulzele, Mrs. Neema Ukani

Abstract: This paper presents an advanced healthcare automation system that integrates speech recognition technology with an automated medicine vending mechanism and a GSM-based hospital notification system. The proposed system enables patients to obtain prescribed medicines using voice commands, thereby eliminating manual intervention and reducing human errors. The system verifies patient identity, matches voice input with stored prescription data, dispenses medicine accurately, and sends real-time SMS notifications to hospital authorities. The solution is especially beneficial in rural and remote healthcare environments where pharmacist availability is limited. The implementation demonstrates high speech recognition accuracy, reliable medicine dispensing, and effective communication with healthcare providers.

Published by: vikaspatanker

Authors: Vijay V E, Varshitha Srinivasa, Prerana K P, Priyanka Jain , Prithi M

Abstract: With the current competitive and technology aggressive workplace, workers are finding it more difficult to balance between professional duties and personal and family life. The life-long working hours, job demands and never ending connection have rendered employees unable to have healthy work and life integration. The concept of work-life harmony has thus become a critical issue which concentrates on good integration of work and personal roles as opposed to having a rigid balance. This research is aimed at investigation of the correlation between work-life harmony and job performance among employees. The work is conducted in accordance with descriptive research design and is supported with primary data obtained after the use of a structured questionnaire among the employees of various organizational backgrounds. The variables of workload, job stress, flexibility and organizational support were taken into consideration to determine their level of influence on work-life harmony and job performance. Analysis of the data was done using simple statistical tools like a percentage analysis and correlation analysis. Results of the research indicate that there is a positive and significant correlation between work-life harmony and job performance. Workers whose work and personal lives are in a positive balance are more productive, have quality work and greater job effectiveness. The research reveals the significance of organizational support and employee friendly policies that foster the work-life harmony and the overall performance of the employees.

Published by: vikaspatanker

Authors: U.Meri Kishore, C.Aswini, S.Mahammad Thousif, V.Manasa, P.Bhargavi, Y.Vishnu Govardhan

Abstract: This paper presents the design and implementation of a Shadow Mode Robotic Arm, a high- precision teleoperation system designed to replicate human arm movements in real-time. The system leverages an ESP32-CAM module for vision-based pose estimation, utilizing the MediaPipe framework to track key upper-body landmarks. The extracted joint coordinates are processed and mapped to a multi-degree-of-freedom (DOF) robotic arm actuated by MG995 metal-gear servos. An ESP32microcontroller serves as the secondary control unit, generating Pulse Width Modulation (PWM) signals for synchronized actuation. The system features a dual-mode operation: a direct mimicry "Shadow Mode" and a remote web- dashboard control mode. Experimental results demonstrate a low-latency response (<100ms) and high kinematic fidelity, offering a cost-effective solution for hazardous environment handling, telemedicine, and industrial automation.

DOI: https://doi.org/10.5281/zenodo.18695456

Published by: vikaspatanker

Authors: Monica Lakshmi R, Parvathareddy Kavya Reddy, Prasiddhi S, Keerthana Devi S

Abstract: Small and marginal farmers in developing economies face challenges such as delayed crop disease detection, subjective quality assessment, and non-transparent pricing due to intermediary-dominated markets. To address these issues, this paper presents Agri-Connect, an AI-driven digital platform that integrates automated crop disease detection, quality grading, and a direct farmer–consumer marketplace. The proposed system employs a hybrid deep learning architecture, combining UNet-based semantic segmentation for precise diseased region extraction and a Vision Transformer (ViT) for robust disease classification and severity analysis. Experimental evaluation was conducted on a combined dataset consisting of ICAR images, drone-captured imagery, and real- world field images under varying environmental conditions. The proposed framework achieved a disease classification accuracy of approximately 94% and reliable quality grading performance across multiple produce categories, outperforming conventional CNN-based approaches. A multilingual, voice-enabled interface and AI- powered chatbot enhance usability for low-literacy users, while an integrated real-time marketplace enables transparent, quality-based pricing and direct trade. Agri-Connect demonstrates the practical potential of linking AI-verified crop analysis with digital market access to improve farmer income, transparency, and sustainable agricultural practices.

DOI: https://doi.org/10.5281/zenodo.18679741

Published by: vikaspatanker

Authors: Dr. S. Roslin

Abstract: In recent years, Systematic Investment Plans (SIPs) have emerged as a preferred investment strategy among Indian investors due to their disciplined structure, affordability, and ability to mitigate market volatility. Simultaneously, gold continues to retain its significance as a safe-haven asset, offering protection against inflation and economic uncertainty. This study aims to evaluate the performance of SIP investments in gold by empirically examining the Axis Gold Fund Regular–Growth scheme over a ten-year period from 2015 to 2025.The research adopts a quantitative research methodology and relies on secondary data to analyze SIP performance across multiple investment horizons, namely 10 years, 5 years, 3 years, 2 years, and 1 year. Key performance indicators such as total investment, latest value, absolute return, annualized return, Return on Investment (ROI), Investment Growth Factor, and Wealth Gain are employed to assess the effectiveness of gold SIPs as both short-term and long-term investment options. Overall, the study concludes that SIPs in gold mutual funds represent a reliable and structured investment avenue for wealth creation and portfolio diversification. The results offer valuable insights for investors, financial planners, and academicians by highlighting the relevance of gold SIPs in long-term financial planning and risk management strategies.

DOI: https://doi.org/10.5281/zenodo.18678948

Published by: vikaspatanker

Authors: Anurag Kumar, Dr Ashish Kumar Rai

Abstract: Arc faults present a significant risk to electrical power systems, potentially causing equipment damage, fires, and service interruptions if not detected quickly. Traditional protection methods often struggle to detect arc faults because of their nonlinear, low-current, and nonstationary behaviour. Wavelet-based analysis has proven effective due to its strong time–frequency resolution. By decomposing voltage and current signals into multiple frequency bands, wavelet transforms extract transient features linked to arc initiation and extinction. Indicators such as wavelet coefficients, high-frequency energy, and entropy help distinguish arc faults from normal conditions and disturbances. Discrete, continuous, and wavelet packet transforms, combined with intelligent classifiers, enhance detection accuracy, speed, and robustness in modern distribution systems.

Published by: vikaspatanker

Authors: Shabbir I. Tamboli

Abstract: Water quality plays a important role in maintaining ecological balance and human health. Rapid urbanization, industrial discharge, and agricultural runoff have significantly affected surface and groundwater resources in many local regions of India. The present study evaluates the physicochemical parameters of water samples collected from selected locations in the local area. Parameters such as pH, turbidity, total dissolved solids (TDS), hardness, chloride content, and dissolved oxygen (DO) were analyzed using standard laboratory methods. The results were compared with BIS (Bureau of Indian Standards) drinking water standards. The study reveals that certain parameters such as TDS and hardness exceeded permissible limits in some locations, indicating potential environmental and health risks. The findings highlight the need for continuous monitoring and effective water management strategies to protect environmental sustainability.

Published by: vikaspatanker

Authors: Khaleel Khan Mohammed

Abstract: Data engineering is now an essential subject for handling, processing, and analysing big data as the amount of data collected is increasing exponentially. This paper gives a future-focused overview of data engineering. The creation, building, upkeep, and optimization of data architecture, infrastructure, and pipelines are all essential components of data engineering, a field within data science. This paper presents a systematic study of data engineering pipelines with a focus on leakage-safe data splitting, preprocessing order, evaluation protocols, and reproducibility practices. We outline a canonical preprocessing workflow that enforces strict separation between training and evaluation data while ensuring that all data-dependent transformations are learned exclusively from training partitions. The paper further discusses suitable validation strategies for both static and time-dependent data, emphasizes the role of nested and repeated cross-validation, and highlights the importance of ablation and stability analysis in assessing model robustness. Finally, we examine provenance-aware logging and experiment tracking as essential components for reproducible and auditable machine learning systems. The proposed guidelines aim to support the development of trustworthy, scalable, and reproducible ML pipelines across data-intensive domains.

DOI: https://doi.org/10.5281/zenodo.18677279

Published by: vikaspatanker

Authors: Vivek Menon

Abstract: Enterprise-scale modernization has evolved from a strategic option to an operational imperative in the contemporary digital economy. Organizations that continue to rely on legacy applications and rigid, hardware-centric network infrastructures face mounting challenges in sustaining competitiveness, operational efficiency, and security resilience. Rapid technological innovation, evolving customer expectations, intensifying cloud-native competition, and increasingly sophisticated cyber threats are collectively reshaping the enterprise IT landscape. Systems originally designed for stability and centralized control now struggle to support modern requirements such as real-time analytics, elastic scalability, distributed workforce enablement, continuous deployment cycles, and AI-driven automation. As a result, modernization initiatives are becoming foundational to long-term enterprise sustainability and growth.This review provides a comprehensive examination of enterprise modernization strategies across both application and network domains. On the application side, modernization approaches such as cloud migration, microservices adoption, API-first design, containerization, DevOps integration, and Infrastructure as Code (IaC) are analyzed for their impact on scalability, agility, and maintainability. Transitioning from monolithic architectures to modular, loosely coupled systems enables organizations to accelerate innovation cycles, improve fault isolation, and enhance operational efficiency. Simultaneously, adopting cloud-native frameworks facilitates resource elasticity, cost optimization, and global service delivery.From a networking perspective, the paper explores the transformation from traditional perimeter-based infrastructures to software-defined networking (SDN), software-defined wide area networking (SD-WAN), and Zero Trust security architectures. These paradigms introduce centralized control, programmable network policies, identity-based access enforcement, and continuous monitoring capabilities. By decoupling control and data planes and embedding security mechanisms directly into network layers, enterprises can enhance visibility, reduce lateral threat movement, and support distributed cloud environments.Furthermore, the review evaluates automation-driven infrastructure and AI-enabled operations (AIOps) as critical enablers of modernization at scale. Automated provisioning, predictive monitoring, anomaly detection, and self-healing systems reduce operational complexity while improving service reliability. Governance frameworks, compliance integration, risk mitigation strategies, and cultural transformation are also discussed as essential components of successful modernization initiatives.The paper highlights both the tangible benefits—such as improved agility, cost reduction, resilience, and competitive advantage—and the inherent technical and organizational challenges associated with modernization, including data migration complexity, legacy integration risks, skill gaps, and change resistance. Finally, emerging trends such as AI-native architectures, edge computing integration, 5G-enabled connectivity, platform engineering, and sustainable green IT practices are examined as shaping forces of next-generation enterprise IT ecosystems.Overall, enterprise-scale modernization is framed not merely as a technological transition but as a strategic, organizational transformation that redefines how enterprises design, secure, deploy, and manage digital systems in an increasingly complex and interconnected world.

DOI: http://doi.org/10.5281/zenodo.18677080

Published by: vikaspatanker