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419 articles for “Dynamics”
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Phase-Change Material Integrated Semiconductor Circuits for In-Memory Analog Computing Applications
Abstract: The continuous demand for high-speed, energy-efficient computing has intensified the exploration of in- memory analog computing (IMAC) architectures, which aim to minimize the latency and power overhead associated with conventional von Neumann architectures. This research investigates the integration of phase- change materials (PCMs) with semiconductor circuits to realize programmable, non-volatile in-memory analog computing platforms. PCMs exhibit reversible resistance switching between amorphous and crystalline states, enabling precise analog weight storage directly …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 32–42 Read article
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A study AI-Driven IoT in Self-Healing Grid Power Systems
Abstract: Modern electricity infrastructure is undergoing a transformation thanks to the combination of artificial intelligence (AI) and the Internet of Things (IoT), especially in the development of self- healing grid systems. In the context of smart grid automation and resilience, this article provides a thorough review of AI-driven IoT infrastructures. By leveraging distributed sensor networks, real-time data acquisition, and advanced KSK Approach, and machine learning algorithms—includes ANN, DT and K-NN—the proposed …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
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Deep Reinforcement Learning-Based MPPT for PV Systems Under Partial Shading: A Hybrid Metaheuristic-Optimized Control Framework.
Abstract: Partial shade and quickly changing environmental conditions make Maximum Power Point Tracking (MPPT) in photovoltaic (PV) arrays particularly difficult. In these situations, traditional algorithms frequently fail to find the global optimum or experience sluggish convergence and steady-state oscillations. To obtain reliable, real-time MPPT under non-uniform irradiance, this research suggests a hybrid control architecture that combines a deep recurrent reinforcement learning (DRL) agent with metaheuristic-based parameter optimization and a digital-twin training …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 35–46 Read article
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An Advanced Framework for Energy Harvesting in Device-to-Device Communication within 5G-Enabled IoT Healthcare Networks
Abstract: The healthcare sector is forever advancing, and one of the key technologies that have started playing a part in better patient care and management is Internet of Things (IoT) devices. The Device-to-Device (D2D) communication in 5G-enabled IoT healthcare networks provide better data transmission rate and very low latency. But despite all that, IoT devices still have over-the-top energy consumptions requiting attention. In this work, an innovative energy harvesting framework is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–30 Read article
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A Review of Adaptive Power Control Methods in Broadband Networks
Abstract: Broadband communication networks have experienced rapid growth due to the increasing demand for high-speed wireless connectivity, multimedia services, cloud computing, and Internet-based applications. As network traffic and user density continue to rise, efficient power management has become an essential requirement for maintaining communication quality, improving spectrum utilization, and reducing overall energy consumption. Adaptive power control methods play a critical role in optimizing transmission performance by dynamically adjusting signal power according …
Published in International Journal of Broadband Cellular Communication · Vol. 12, Issue 1, 2026 · pp. 17–28 Read article
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Performance Analysis of Hybrid Signal Processing Methods in Modern Communication Networks
Abstract: Modern communication networks require high-speed, reliable, and energy-efficient signal transmission for applications such as wireless communication, satellite systems, Internet of Things (IoT), smart healthcare, and next-generation 5G/6G networks. Traditional signal processing techniques often face limitations in dynamic communication environments due to interference, noise, latency, and bandwidth constraints. Hybrid signal processing methods combine multiple techniques including analog-digital processing, adaptive filtering, beamforming, machine learning, and intelligent optimization to enhance communication performance and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–35 Read article
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An Overview on Harmonic Intelligence: BridgingMicrowave Sensing and AI-Driven IoT for Autonomous Decision-Making
Abstract: As the Internet of Things (IoT) ecosystem expands into complex industrial and urban environments, the demand for high-fidelity data acquisition and near-instantaneous edge processing has reached a critical juncture. Traditional optical and infrared sensors often falter under adverse conditions, such as dense smoke, occlusions, or low-light environments. This paper explores the transformative potential of microwave signals—leveraging their unique ability to penetrate non-metallic materials and operate independently of ambient lighting—as the …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Hypsometric Analysis of Kumbhi River using Geographical Information System
Abstract: Hypsometric curves and integrals play a pivotal role in analyzing watershed dynamics, particularly in understanding erosion patterns and flood responses. The Kumbhi River Basin exemplifies this complexity, characterized by a blend of consolidated and unconsolidated Quaternary sediments alongside basaltic lava flows. The integration of Geographic Information System (GIS) technology has enhanced the ability to create detailed slope and contour maps, facilitating a comprehensive hypsometric analysis of this watershed.The results of …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 12, Issue 2, 2026 · pp. 1–6 Read article
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Hybrid Digital–Analog Signal Processing Framework forEnhanced Data Transmission in Next-Generation Wireless Communication Systems
Abstract: The rapid advancement of next-generation wireless technologies such as 5G and 6G has created an increasing demand for high data rates, low latency, and energy-efficient communication systems. Conventional digital signal processing techniques, while flexible and accurate, often suffer from high computational complexity and power consumption, whereas analog signal processing provides low-latency and energy-efficient solutions but lacks adaptability and robustness. This paper proposes a novel hybrid digital–analog signal processing framework that …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 50–59 Read article
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A Review of Energy-Efficient Base StationManagement in Heterogeneous Cellular Networks
Abstract: The amount of energy used of cellular networks for communication has dramatically grown due to the quick expansion of mobile data usage and the extensive use of next-generation wireless technologies. Among various network components, base stations account for the largest share of power usage, making energy-efficient management an important research area in heterogeneous cellular networks (HetNets). This review paper presents a comprehensive overview of recent developments in energy-efficient base station …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 1–13 Read article
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An Overview on AI in Thermal Behaviour of Polymers
Abstract: The integration of Artificial Intelligence (AI) and Machine Learning (ML) into the thermalanalysis of polymers and composite materials has transitioned from experimental curiosity to acornerstone of material science. By replacing costly and time-consuming trial-and-errorlaboratory testing with predictive modeling, AI is accelerating the development of advancedthermal interface materials, fire-retardant polymers, and aerospace-grade composites. Theprediction and optimization of the thermal behavior of polymers and composite materialsrepresent a cornerstone of modern materials science, …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 12–16 Read article
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Flexible Outdoor Learning and Social Spaces: The Case for Campus Bistro Decks
Abstract: University campuses today are evolving beyond traditional classrooms into dynamic environments that nurture learning, collaboration, and well-being. With changing pedagogical approaches that emphasize creativity, teamwork, and mental health, there is a growing need for interactive and informal learning spaces that complement formal education. These in-between zones – neither entirely academic nor purely recreational – play a vital role in shaping campus life and fostering a sense of belonging among students …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 1, 2026 · pp. 62–69 Read article
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Professional Ethics and Code of Conduct in Architecture: An Evaluation of Indian Scenario
Abstract: Architecture thrives on creativity and originality, yet rising cases of plagiarism and Intellectual Property Rights (IPR) violations threaten professional integrity. The aim of this research is to understand legal and ethical frameworks that balance creativity, authorship, and inspiration. While existing literature on architectural ethics, the Copyright Act, and IPR focuses on broad legal principles, their practical application in architecture remains underexplored. Comparison with international frameworks reveals gaps in India’s legal …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 1, 2026 · pp. 1–17 Read article
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From Stress to Serenity: Adaptive Living Spaces for the Modern Tech Workforce
Abstract: Modern I.T. professionals often work long, irregular hours, seated for extended periods while managing deadlines, virtual meetings, and continuous digital interruptions. As homes increasingly function as hybrid workplaces, most residential interiors remain ill-equipped for this dual role, characterized by compact layouts, standardized furniture, inadequate lighting, and a lack of spaces for psychological detachment. This research advocates for adaptive and human-centered interior environments that promote physical comfort, mental well-being, and flexible …
Published in International Journal of Housing and Human Settlement Planning · Vol. 12, Issue 1, 2026 · pp. 46–57 Read article
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Design Strategies for Future Ready Residential Buildings: A Case for Dehradun
Abstract: Dehradun, a city in foothills of Himalayas, is experiencing rapid urbanization and lifestyle shifts. Since it is the capital city of Uttarakhand, these changes are reshaping housing patterns and creating pressing challenges for architects to design spaces that can accommodate evolving user needs. This research aims to investigate how residential spaces in Dehradun have transformed over time, and how architects can design flexible, future-ready homes that anticipate long-term changes in …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 1, 2026 · pp. 33–43 Read article
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Urban Lakefront Development Through Smart Infrastructure and Public Realm Improvements: The Case of Hyderabad’s Hussain Sagar, Saroornagar Lake, and Kotha Cheruvu
Abstract: Urban lakefronts are increasingly recognized as critical ecological assets and multifunctional public spaces that shape the environmental, social, and economic dynamics of rapidly urbanizing cities. In Hyderabad, India, accelerated urban growth has resulted in the degradation of lake ecosystems alongside the implementation of redevelopment initiatives driven by smart infrastructure and public realm improvements. This study evaluates the impacts of such interventions across three representative urban lakes – Hussain Sagar, Saroornagar …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 12, Issue 1, 2026 · pp. 25–42 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
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A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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A Comprehensive Review of Transportation Network Design and Congestion Modeling: Methods, Challenges, and Emerging Trends
Abstract: Abstract As urbanization and travel demand continue to grow rapidly, traffic congestion has emerged as a widespread issue worldwide. The design of transportation networks and the modeling of congestion are essential disciplines that provide foundational tools for analyzing, predicting, and mitigating congestion impacts. This review complies key theories, modeling frameworks, optimization techniques, and algorithms used in network design and congestion modeling. We discuss static and dynamic models, equilibrium concepts, congestion …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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THE EFFECT OF STAND OFF DISTANCE AND BLAST YIELD OVER STRUCTURE IN BLAST TEST
Abstract: Abstract Explosive loads have garnered a lot of attention lately because of numerous unintentional and deliberate occurrences that have affected important structures all over the world. As a result, there has been a lot of research in this area over the last ten years. Although the majority of the early studies were empirical, more recent studies have progressed into thorough and organised studies that focus on understanding the behaviour of …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article