DBSCAN: An Assessment of Density Based Clustering and It’s Approaches [109-113]
Author: Karuna Kant Tiwari, Virendra Raguvanshi, Anurag Jain
An Genetic Based Fuzzy Approach for Density Based Clustering by Using K-Means [114-120]
Author: Karuna Kant Tiwari, Anurag Jain
Review of Channel Estimation over Orthogonal Frequency Division Multiplexing in Communication System [121-125]
Author: Sonali L. Raulkar, Akant Raghuwanshi
A CFD Analysis of a Wind Turbine Blade Design at Various Angle of Attack and Low Reynolds Number [126-132]
Author: Raju Kumar, Priyanka Jhawar, Sanjay Kalraiya
A Survey: Analytics of Web Log File through Map Reduce and Hadoop [133-138]
Author: Chetan Sharma, Arun Jhapate
Aspect-Oriented Programming in Spring: Enhancing Code Modularity and Maintainability
Authors:-RamaKrishna Manchana
Abstract-Aspect-Oriented Programming (AOP) in Spring allows for the modularization of cross-cutting concerns such as logging, security, and transaction management, improving code maintainability and reducing duplication. This paper explores AOP concepts, implementation details, and practical use cases, specifically focusing on the Common Logger and Global Exception Handler.
DOI: 10.61137/ijsret.vol.2.issue5.126
Visionary Approach In Corporate Sector Of Internet Of Things
Authors: Prabal Kumar Joshi
Abstract: Internet banking is one of the unavoidable advancements in the Information technology revolution. The advancement of Information technology and the Internet led the way to the evolution of internet banking. Internet banking connects the customers and the bank through the Internet to access certain services provided by the bank. It is the application of technological advancements for bestowing the available financial information resources in electronic form. This technology advancement also renders opportunities for banks to quickly and efficiently deliver specific services to the customers at anytime from anywhere without the physical visit of consumers at the bank locations
DOI: http://doi.org/10.5281/zenodo.17019115
Enhancing Customer Experiences With AI-Enhanced Salesforce Bots While Maintaining Compliance In Hybrid Unix Environments
Authors: Ravichandra Mulpuri
Abstract: The growing demand for personalized, efficient, and secure customer interactions has accelerated the adoption of AI-enhanced Salesforce bots across industries. These bots integrate natural language processing, machine learning, and CRM intelligence to streamline engagement while adapting to user needs in real time. Their deployment in hybrid Unix environments provides enterprises with a balance of stability, scalability, and flexibility. However, ensuring compliance with global regulations such as GDPR, HIPAA, and PCI DSS remains a central challenge. This review explores the role of AI-powered Salesforce bots in enhancing customer experiences, examines compliance strategies within hybrid Unix systems, and highlights ethical, operational, and organizational considerations. Future directions emphasize the importance of compliance-by-design, secure integration, and industry-specific applications, positioning AI-driven bots as transformative tools in enterprise digital ecosystems.
DOI: http://doi.org/10.5281/zenodo.17189840
Qlik Sense On The Cloud: A Strategic Approach To Building Scalable BI Solutions On AWS And GCP
Authors: Raghav Iyer
Abstract: Cloud-based Business Intelligence (BI) is transforming how organizations access, analyze, and act upon data. Qlik Sense, a leading BI platform, leverages an associative in-memory data model, interactive dashboards, and scalable architecture to deliver actionable insights in real time. This review explores the deployment of Qlik Sense on cloud platforms, specifically AWS and GCP, emphasizing scalability, performance optimization, and integration with advanced analytics tools. Key topics include cloud-optimized data modeling, incremental ETL loading, dashboard tuning, and disaster recovery strategies. The article also highlights industry applications in finance, healthcare, and retail, demonstrating how cloud-based Qlik Sense supports operational efficiency, regulatory compliance, and decision-making agility. Challenges such as cloud cost management, latency, and governance are addressed with mitigation strategies including load balancing, auto-scaling, and security frameworks. Future trends in multi-cloud strategies, AI-driven analytics, serverless computing, real-time dashboards, mobile BI, and natural language interaction are discussed, positioning Qlik Sense as a forward-looking, intelligent BI solution. By implementing best practices in cloud deployment, data modeling, and dashboard design, organizations can maximize insight generation, enhance operational performance, and achieve sustainable growth through data-driven decision-making.
DOI: https://doi.org/10.5281/zenodo.17277422
The Qlik Sense Data Story: Creating Compelling Narratives From Complex Datasets To Drive Decisions
Authors: Ibrahim Rahman
Abstract: In the era of data-driven decision-making, organizations face increasing challenges in converting complex datasets into actionable insights. Qlik Sense, a leading self-service business intelligence platform, enables the creation of interactive dashboards and compelling data stories that empower analysts and decision-makers alike. This review explores the principles, techniques, and best practices for effective data storytelling using Qlik Sense, emphasizing the integration of advanced analytics, predictive modeling, and real-time interactivity. The paper begins with an overview of the evolution of data storytelling in BI and the unique capabilities of Qlik Sense’s associative in-memory model, which allows dynamic exploration and discovery of hidden patterns across multiple data sources. It then discusses foundational storytelling principles, the identification of key metrics, and methods for achieving visual and narrative cohesion. Advanced techniques such as set analysis, variables, triggers, and AI integration are examined to illustrate how adaptive and predictive narratives enhance decision-making. Industry-specific applications in finance, healthcare, and retail are analyzed through case studies, highlighting the platform’s versatility in diverse operational contexts. Challenges related to data quality, user adoption, and maintaining narrative clarity are addressed, alongside mitigation strategies and governance recommendations. Finally, emerging trends such as AI-assisted narrative generation, real-time streaming analytics, cloud integration, and multi-platform deployment are explored to provide forward-looking insights. By combining technical expertise, visualization best practices, and narrative design, this review demonstrates how Qlik Sense transforms raw data into actionable stories that drive informed, strategic business decisions.
DOI: https://doi.org/10.5281/zenodo.17277490
Network Modernization In Large Enterprises: Firewall Transformation, Subnet Re-Architecture, And Cross-Platform Virtualization
Authors: Shravan Kumar Reddy Padur
Abstract: Enterprises in the early 2000s relied on static perimeter firewalls, monolithic rule sets, flat subnetting structures, and heterogeneous operating platforms that were adequate for client–server models but quickly proved fragile under the accelerating demands of virtualization, mobility, and regulatory compliance. These limitations gave rise to the imperative of network modernization, a process that is far more than a routine technical refresh and instead represents a strategic transformation. Modernization encompasses the redesign of firewall policies into layered and abstracted models to reduce misconfiguration risks, the re-architecture of subnetting schemes into hierarchical and modular structures to improve scalability and control, and the orchestration of cross-platform upgrades that integrate virtualized and legacy systems while maintaining resilience. Drawing from research and practice between 2000 and July 2016, this article synthesizes how organizations adopted abstraction frameworks, distributed enforcement mechanisms, and virtualization-aware network interfaces to create adaptive infrastructures. Three representative figures are used to contextualize this transformation: (1) abstraction in firewall management, (2) virtualization-driven network interfaces, and (3) distributed firewall topologies. The analysis underscores that modernization is not a tactical exercise but a governed, programmatic shift that depends on repeatable processes, structured governance, and incremental execution to sustain long-term enterprise agility and security.
DOI: https://doi.org/10.5281/zenodo.17291987