Category Archives: Uncategorized

Authors: Ahmed Abshir Ahmed

Abstract: This study investigates the impacts of climate change on water resources in arid and semi-arid regions, with a focused case study on Hargeisa, Somaliland. As climate change intensifies hydrological variability, regions already facing environmental and demographic pressures experience exacerbated water scarcity. Analyzing climatic data (1991-2020) from SWALIM and regional groundwater studies, we identify three critical trends: (1) decreasing rainfall reliability (annual averages of 250-400mm with high interannual variability), (2) increasing evapotranspiration rates (up to 2100mm annually), and (3) progressive groundwater quality deterioration (TDS >1g/L in 90% of sampled wells). Our findings demonstrate particular vulnerability in shallow aquifers – the primary water source for most communities – which face both seasonal depletion and contamination risks. The research reveals a dual stressor system where climate variability interacts with rapid population growth to threaten water security. We propose four key interventions: (i) enhanced hydro-climatic monitoring networks, (ii) integrated climate adaptation planning, (iii) targeted aquifer recharge strategies, and (iv) policy reforms for sustainable groundwater governance. These recommendations provide actionable pathways for building resilience in water-stressed regions facing escalating climate risks

DOI: https://doi.org/10.5281/zenodo.16791946

 

Published by: vikaspatanker

Authors: Avdesh Kumar Ahirwar, Assistant Professor Murlidhar Chourasia, Rahul Kumar Satbhaiya

Abstract: Gravity dams, typically constructed using concrete or masonry, are massive hydraulic structures designed to resist external loads primarily through their own weight. These dams usually exhibit a triangular cross-sectional profile, with a wide base and a narrow crest, ensuring inherent stability against hydrostatic and seismic forces. Accurate analysis of such structures is essential for ensuring their safety and performance under varying reservoir conditions.This study presents a detailed evaluation of gravity dam behavior using STAAD.Pro, widely adopted structural analysis software. While traditionally employed for designing framed structures such as buildings, STAAD.Pro is also capable of modeling complex elements including plates, shells, and solid components. This flexibility makes it suitable for simulating gravity dams under different loading scenarios.In this analysis, the dam is modeled using solid elements to accurately represent its mass and geometry. The effects of hydrostatic pressure, uplift pressure, and other reservoir-induced forces are incorporated to simulate real-world conditions. By leveraging the computational capabilities of STAAD.Pro, stress distribution, deformation profiles, and stability parameters of the dam are systematically investigated. This approach eliminates the limitations of manual analysis, offering a time-efficient and precise method to assess dam safety under diverse operational conditions.

DOI: https://doi.org/10.5281/zenodo.16759714

 

Published by: vikaspatanker

Authors: Lionel Seah

Abstract: Artificial Intelligence (AI) is the field of study and development of computer systems capable of performing tasks that would typically require human intelligence. These tasks include reasoning, problem-solving, learning, understanding natural language, and perceiving the environment. As defined by John McCarthy, one of the pioneers of AI, “Artificial intelligence is the science and engineering of making intelligent machines, especially intelligent computer programs” (McCarthy, 2007). AI aims to replicate or simulate human cognitive functions in machines to enhance or automate decision-making, pattern recognition, and interactions. According to Stuart Russell and Peter Norvig, in their foundational textbook Artificial Intelligence: A Modern Approach, “AI is concerned with intelligent behaviour in artifacts” (Norvig, 2021). They categorise AI systems based on their capabilities to act and think rationally or humanly.

DOI: http://doi.org/10.5281/zenodo.16757750

Published by: vikaspatanker

Authors: Ishan Deshpande, Mohit Jagtap, Akash Satras, Mrs. Shreyasi Watve

Abstract: india’s vibrant cultural traditions involve many water-based religious rituals, which unintentionally contribute to environmental pollution. During festivals such as Ganesh Visarjan and Kumbh Mela, water bodies like the Godavari River in Nashik often become heavily contaminated due to the disposal of idols, flowers, and plastic items. These pollutants accumulate on the water surface, disturbing the aquatic balance. To address this issue, we propose an eco- conscious solution—an automated bot system designed for surface waste collection. This bot uses renewable energy to operate and effectively removes plastic, debris, and water hyacinth from still water bodies, supporting a cleaner and more sustainable environment.

DOI: https://zenodo.org/uploads/16755368

 

 

Published by: vikaspatanker

Authors: Dr Balaji Shivaji Pasare

Abstract: Background: Rural areas such as Osmanabad are plagued by sustained degradation of infrastructure driven by climate variation, material fatigue, and restricted maintenance capabilities. Structural concrete, while strong, is susceptible to microcracking that can expedite deterioration and impede long-term resilience. Fostered by the recent advent of self-healing technologies, namely bio-concrete and polymer-fused conduit systems, these represent adequate solutions for low or no-maintenance, climate-responsive, and adaptable buildings in impoverished areas. Objectives: The current study is set forth with the objectives of field performance, healing potential, and stakeholders’ acceptance for the bio-concrete and polymer-based self-healing concrete (SHC) under semi-arid conditions in Osmanabad. It aims at the transition from laboratory innovation to rural deployment conditions, highlighting humanised engineering and participatory validation. Methods: A mixed-method design of experimental trials in 3-gram panchayats was implemented with stakeholder involvement. Quantitative data were compressive strengths, crack closure rates, and environmental (humidity, temperature) correlation variables. Qualitative information was obtained through interviews, focus groups, and participatory observation. The analytic techniques used were ANOVA, regression modelling, and thematic coding of the data. Results: Bio-concrete exhibited enhanced crack healing (94% recovery) and strength increases (~20% compared to control mixes), especially in high-humidity zones. Positive correlations were found between healing rates and environmental humidity. The highest level of trust from the stakeholders was observed from the farmers (avg. rating: 9.1/10), noting that it helped minimize maintenance and seemed to heal. The polymer SHC had milder performances, though lower photo-hysteresis. Conclusion: Bio-concrete is found to be a socially and technically acceptable, climate change resilient alternative for rural infrastructure. The research confirms its relevance in Osmanabad and supports community-scale scaling. Through the convergence of high-performance materials and ethical, participatory adoption, this research configures a new model of resilient, humanised infrastructure for the disenfranchised.

DOI: https://doi.org/10.5281/zenodo.16753496

 

Published by: vikaspatanker

Authors: Rushil Vijay Salian

Abstract: The growing demand for accessible, scalable, and automated machine learning (ML) platforms has highlighted the need for intuitive tools that democratize model development. ModelLab is a proprietary AI/ML model training platform that enables users to upload datasets, train models, and generate predictions through an interactive web interface. Built with React, Supabase, and TensorFlow.js, it supports end-to-end workflows from data ingestion to model deployment. This paper presents the architecture, features, and performance of ModelLab and explores its potential to revolutionize AI development for non-experts and professionals alike. Future work includes model versioning, expanded algorithm support, and production-level deployments.

DOI:

 

Published by: vikaspatanker

Authors: Ashwin Sanghi

Abstract: Financial institutions operate in a dynamic and high-stakes environment where data integrity, system availability, and uninterrupted service are paramount. In recent years, the increasing complexity of IT infrastructures, along with the growing threat of cyberattacks and natural disasters, has prompted a strategic shift toward virtualized disaster recovery (VDR) models. VDR enables the replication and recovery of data and critical systems through virtual environments, offering increased flexibility, faster recovery times, and reduced reliance on physical infrastructure. This article presents a comprehensive review of the adoption and implementation of virtualized disaster recovery strategies in financial institutions. It evaluates technological architectures, regulatory requirements, integration challenges, and case studies to illustrate real-world applications. Furthermore, it delves into cost-benefit analyses, risk mitigation tactics, and the role of automation and orchestration in streamlining recovery processes. Through this analysis, we aim to demonstrate how VDR can enhance business continuity, improve compliance postures, and provide a robust response mechanism to both anticipated and unforeseen disruptions.

DOI: https://doi.org/10.5281/zenodo.16751967

 

Published by: vikaspatanker

Authors: Rohit Gore

Abstract: In an increasingly hybrid IT ecosystem, secure and scalable authentication mechanisms are essential for managing file-sharing services across diverse network environments. Samba, an open-source reimplementation of the SMB/CIFS protocol, enables seamless file and print services for SMB/CIFS clients, most notably Microsoft Windows. While Samba supports several authentication methods, integrating it with the Kerberos authentication protocol significantly strengthens its security posture, especially in enterprise environments. Kerberos, a time-tested network authentication protocol, facilitates secure and mutual authentication without transmitting passwords over the network. This article explores the integration of Samba with Kerberos, focusing on configuration strategies, performance implications, and real-world deployment considerations. It discusses the internal mechanisms of both technologies and illustrates how their integration can simplify centralized identity management using services such as Microsoft Active Directory and MIT Kerberos. Additionally, it reviews security enhancements, troubleshooting practices, and future considerations in the context of Linux-based servers and heterogeneous network environments. By aligning Samba with Kerberos authentication, organizations can achieve a unified and secure authentication architecture that minimizes administrative overhead, strengthens compliance, and provides a resilient foundation for secure file-sharing operations

DOI: https://doi.org/10.5281/zenodo.16751947

 

Published by: vikaspatanker

Authors: Shashi Tharoor

Abstract: In the digital era, healthcare organizations are increasingly reliant on information systems to manage sensitive patient data and streamline clinical workflows. However, the growing digitization has also rendered these systems prime targets for cyberattacks, internal misuse, and accidental breaches. Digital forensics offers a critical framework for detecting, investigating, and mitigating security incidents in healthcare information systems. This paper explores the multifaceted application of digital forensics within healthcare, encompassing threat identification, evidence preservation, legal compliance, and technological challenges. As medical data is governed by stringent regulations such as HIPAA and GDPR, the role of digital forensics becomes indispensable in ensuring confidentiality, integrity, and availability of patient records. The unique nature of healthcare environments, including legacy systems, third-party integrations, and life-critical devices, necessitates a tailored forensic approach. Moreover, the integration of artificial intelligence and blockchain in forensics is transforming incident response and audit mechanisms. This review delves into forensic readiness, methodologies, tools, case studies, and future directions, emphasizing the critical need for a proactive stance in safeguarding healthcare information. By aligning forensic practices with risk management and compliance, healthcare organizations can build resilient infrastructures capable of withstanding the evolving threat landscape.

DOI: https://doi.org/10.5281/zenodo.16751920

 

Published by: vikaspatanker

Authors: Kiran Desai

Abstract: – As cyber threats evolve in complexity and frequency, traditional security monitoring systems struggle to keep pace with modern enterprise needs. Security Information and Event Management (SIEM) systems have long served as a cornerstone for centralized logging and alerting, but the sheer volume of alerts and incidents now threatens to overwhelm human operators. This has led to a critical shift toward integrating artificial intelligence (AI) and machine learning (ML) into SIEM platforms. AI-driven SIEM systems automate detection, triage, and even response to incidents, enabling security teams to operate more efficiently and effectively. These systems can analyze vast datasets in real time, identify anomalous behaviors, and recommend or initiate appropriate countermeasures with minimal human intervention. This article explores the architecture, algorithms, integration strategies, and real-world applications of AI-enhanced SIEM systems. It also examines key challenges such as data quality, model drift, and regulatory compliance, while offering insights into future trends like explainable AI and predictive threat modeling. The goal is to provide a comprehensive understanding of how AI transforms SIEM into an intelligent, adaptive shield against modern cyber threats

DOI: https://doi.org/10.5281/zenodo.16751895

 

Published by: vikaspatanker