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371 articles for “Framework”
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Vertical Villages: Redefining Urban Living for a Sustainable Future
Abstract: As urbanization accelerates, cities face growing challenges in balancing population growth with sustainable resource use. Traditional horizontal sprawl is increasingly unsustainable, causing habitat loss, inefficient land use, and higher carbon emissions from long commutes and overstressed infrastructure. Addressing these issues, vertical villages offer an innovative, sustainable alternative for dense urban environments. Vertical villages are multi-story, integrated communities that combine residential, commercial, and communal spaces within compact areas. By optimizing land …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 7–17 Read article
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Integrating Digital Twins, Smart Materials, and Human Machine Collaboration for Sustainable Smart Manufacturing: Smart CNC & Industry 4.0 Applications
Abstract: The rapid evolution of Industry 4.0 and the emerging transition toward Industry 5.0 have been catalyzed by the convergence of intelligent digital technologies such as digital twins, cyber–physical systems (CPS), artificial intelligence (AI), the Internet of Things (IoT), and human-in-the-loop (HITL) frameworks. These technologies have transformed traditional manufacturing into adaptive, data-centric ecosystems capable of real-time optimization and predictive decision-making. In recent years, the fusion of computer numerical control (CNC) machines, …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 1–8 Read article
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IoT-Based Battery Health Monitoring for Electric Vehicles Using Machine Learning
Abstract: With increasing utilization of the Electric Vehicles (EV)s in global scale, battery health management becomes a critical factor which has great impact on vehicle performance, safety and longevity. Battery materials, such as NMC LFP lithium-ion batteries and lithium-ion batteries, degrade over time from charging behaviour, heat stress, discharging voltage profiles and environmental limits. Conventional BMS only offer threshold based health diagnostics and cannot perform accurate degradation prediction. This work presents …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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Cyber Security Challenges in Developing Countries: A Special Reference to Afghanistan
Abstract: This review paper explores the widespread cybersecurity challenges encountered by developing countries, specifically concentrating on Afghanistan during the period from 2020 to 2024. The study highlights the significant gaps in cybersecurity capabilities, infrastructure, and regulatory frameworks that exacerbate the vulnerability of these nations to cyber threats. Key findings include the lack of basic legal frameworks for countering cybercrime, with only a minority of African states, and presumably other developing regions …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 1, 2025 · pp. 1–6 Read article
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From Rural to Urban: Understanding Taobao Villages to Redress Planetary Urbanisation
Abstract: This study examines Taobao Villages as an innovative model of urbanisation under China’s planetary urbanisation framework. These rural communities, driven by the rise of e-commerce and digital infrastructure, have successfully integrated into the broader urban ecosystem by reconfiguring their historical socio-spatial legacies. Through Lefebvre’s spatial triad framework, the research identifies three key historical legacies that underpin this transformation: (1) Collective Production Practices: Rooted in socialist collectivisation, these legacies include organisational …
Published in International Journal of Urban Design and Development · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Optimizing Data Processing Efficiency in Big Data: Advanced MapReduce Algorithm Innovations
Abstract: The exponential growth of big data in recent years has created an urgent need for innovative and efficient processing frameworks capable of managing and analyzing massive and complex datasets. Among these, MapReduce has gained prominence as a powerful tool for distributed data processing due to its simplicity and scalability. However, traditional MapReduce frameworks often encounter significant limitations in terms of efficiency, scalability, and resource optimization, particularly when handling large-scale and …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Impact of Partially Observable Markov Decision Process in Next Generation Satellite for Remote Sensing
Abstract: The integration of Partially Observable Markov Decision Processes (POMDPs) in next- generation satellite systems represents a transformative advancement in remote sensing technology. This article explores how POMDP frameworks address the inherent uncertainties and incomplete observability challenges in satellite operations, including dynamic task scheduling, resource allocation, and adaptive sensing strategies. By modeling satellite decision-making under uncertainty, POMDPs enable autonomous systems to optimize mission objectives while managing constraints such as limited power, …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 20–28 Read article
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Punjab’s Wetlands as Inland Analogues of Marine Ecosystems: Status, Stressors and CommunityLed Conservation.
Abstract: Aquatic and wetland ecosystems in Punjab, India, represent ecologically significant yet increasingly degraded socioecological systems embedded within an intensively managed agrarian landscape. Despite their recognised importance, existing studies largely treat these systems using conventional freshwater ecological frameworks, with limited integration of microbiologically mediated processes and broader ecosystem theories. A key research gap, therefore, lies in the lack of interdisciplinary approaches that can holistically interpret wetland structure, function, and governance across …
Published in International Journal of Marine Life · Vol. 3, Issue 1, 2026 · pp. 31–51 Read article
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Biophilic Design as a Bridge Between Applied Vastu and Contemporary Interior Design Practice in Urban Indian Residences
Abstract: The growing disconnect between urban Indian residents and the natural environment has prompted renewed interest in design strategies that restore human–nature connections within indoor spaces. This paper investigates the conceptual and practical convergence between biophilic design—a framework grounded in the innate human affinity for nature—and Vastu, the ancient Indian architectural science that prescribes spatial harmony through alignment with natural forces. Drawing on a qualitative review of existing literature, established biophilic …
Published in International Journal of Architectural Design and Planning · Vol. 4, Issue 1, 2026 · pp. 52–61 Read article
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Revitalizing São Cristóvão: Integrating Industry, Commerce, and Community for a Sustainable Urban Future
Abstract: This paper introduces a comprehensive framework for the sustainable regeneration of São Cristóvão, a historically industrial district in Rio de Janeiro, South America, which presently demonstrates significant urban deterioration, socio-economic instability, and increasing environmental hazards. Through an interdisciplinary methodology integrating spatial analysis, ethnographic profiling, environmental assessment, and stakeholder engagement, the study develops a phased master plan aimed at transforming the neighborhood into a resilient, inclusive, and economically diverse urban environment. …
Published in International Journal of Urban Design and Development · Vol. 4, Issue 1, 2026 · pp. 58–68 Read article
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Open Educational Resources and Open Access Publishing in Higher Education: Policies, Challenges, and Collaborative Models
Abstract: Open Educational Resources (OER) and Open Access (OA) publishing are transforming higher education by promoting equitable access to knowledge, reducing costs, and fostering collaborative innovation. While OER focus on openly licensed teaching and learning materials, OA ensures unrestricted online access to scholarly research. Together, they form an integrated open knowledge ecosystem aligned with global policy frameworks such as the UNESCO OER Recommendation (2019) and the Budapest Open Access Initiative. This …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 1, 2026 · pp. 7–12 Read article
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Green Finance and India’s Climate Commitments: Aligning Financial Systems with Sustainable Development Goals
Abstract: India’s commitment to addressing climate change, as reflected in its Nationally Determined Contributions (NDCs), net-zero ambitions, and alignment with the United Nations Sustainable Development Goals (SDGs), has placed green finance at the center of the country’s sustainable development agenda. Green finance involves directing capital and investment flows toward projects and initiatives that are environmentally sustainable. It supports efforts to reduce climate-related risks, enhance resilience to environmental changes, and promote economic …
Published in International Journal of Sustainability · Vol. 3, Issue 1, 2026 · pp. 49–54 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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A Review on Artificial Intelligence Techniques for Analyzing Deforestation and Illegal Logging Using Satellite Imagery
Abstract: Deforestation and illegal logging remain critical environmental threats, driving biodiversity loss, climate change, and socio-economic disruption. Conventional monitoring techniques frequently do not yield real-time, large-scale insights. Recent developments in Artificial Intelligence (AI), especially in deep learning and computer vision, have revolutionized the ability to analyze high-resolution satellite images for detecting deforestation and monitoring illegal logging. This review synthesizes recent developments in AI-driven approaches, highlighting convolutional neural networks (CNNs), anomaly detection …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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A Constraint-Driven Generative Design Methodology for Modular Actuated Robotic Components in Decentralized Manufacturing
Abstract: This work formalizes a constraint-driven generative design framework for actuator-integrated robotic components intended for decentralized additive manufacturing. Conventional topology optimization typically prioritizes structural efficiency while treating actuator integration, modular interfaces, and fabrication constraints as secondary considerations. In contrast, the proposed methodology encodes these requirements as first-order geometric and mechanical constraints prior to automated material redistribution. The framework defines preserved actuator geometry, bounded design envelopes, representative loading abstractions, and manufacturability-aware domains …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 Read article
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Agentic AI: Architectures, Types, Capabilities, Mathematical Equations and Governance in the Era of Autonomous Intelligence
Abstract: Agentic Artificial Intelligence (Agentic AI) represents a major advancement in the evolution of intelligent systems by enabling autonomous planning, decision-making, and action execution. Unlike traditional AI models, which are primarily reactive and designed to respond to predefined inputs, Agentic AI systems possess capabilities such as memory, reasoning, goal-oriented planning, tool integration, and dynamic adaptation to changing environments. These characteristics allow them to perform complex, multi-step tasks with minimal human intervention, …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 Read article
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Effects of Cluster Computing on Big Data Analysis and Network Topology
Abstract: The rapid expansion of big data has posed substantial difficulties for conventional computing systems. As a result, cluster computing has grown to be a potent method for effective large data processing. Cluster computing involves multiple interconnected nodes functioning as a unified system, pooling together their processing, storage, and memory resources. These nodes are typically connected through high-speed networks such as ethernet or InfiniBand, facilitating efficient data sharing and communication among …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 31–39 Read article
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Electromechanical Modeling of Microscale Fluidic Systems with Electro Kinetic
Abstract: Due to their capacity to carry out complex fluid manipulations at the microscale, microfluidic systems have become more popular in a variety of applications. For a variety of industries, including biomedical diagnostics, chemical analysis, and environmental monitoring, achieving precise and effective fluid control is essential. The electromechanical modeling of microscale fluidic systems using electro kinetic actuation is the main topic of this research study. We propose a thorough framework for …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 1, Issue 1, 2023 · pp. 18–22 Read article
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Enhancing Security and Privacy in Smart Factory: A Blockchain Based Solution
Abstract: The manufacturing industry is currently experiencing a transformative shift due to the rise of smart factories, propelled by interconnected devices and automated systems. However, this integration of diverse technologies within smart factories introduces significant concerns regarding security and privacy. This research paper thoroughly investigates the vulnerabilities and threats prevalent in smart factory ecosystems, shedding light on the potential risks associated with centralized data storage and communication channels. The study emphasizes …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 13–20 Read article
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Marital Rape: Legal And Social Perspective
Abstract: Worldwide, marital rape continues to be a prevalent form of sexual assault and domestic violence, defying growing international condemnation and awareness. Feminist ideologies serve as the foundation for this pervasive affliction, which rips apart victims' trust and stifles their relationships. Gender inequality continues to be prevalent in India, a country where societal norms and legal frameworks frequently fall behind. As opposed to popular belief, matrimony does not confer authorization to …
Published in Recent Trends in Social Studies · Vol. 1, Issue 1, 2024 · pp. 13–16 Read article