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370 articles for “Adaptation”
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A look at friction stir processing for making better surface properties
Abstract: Abstract Friction stir processing is a surface properties modification method consequential from friction stir welding. The process uses a non-consumable tool made up of tool steel material. The tool pin and shoulder plunged in the surface of the base material plates and it mover along the predetermined path. The frictional heat stimulates the plastic deformation during the process & enhances the dynamic recrystallization. The process represents an advanced approach that …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 2, 2025 · pp. 41–47 Read article
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Digital Twin-Enabled Structural Health Monitoring Framework for Real-Time Damage Detection in Civil Infrastructure
Abstract: Abstract The paper discusses how Digital Twin-enabled Structural Health Monitoring (SHM) restyles civil infrastructure by finding damage in real time, decreasing costs, and increasing safety levels. As opposed to the traditional inspection methods, Digital Twins apply virtual models and sensors to observe structures, like bridges, dams, and buildings immediately, which reduces the repair costs by 30–50% and extends the project’s lifespan by 20–30%. This research studies four real-world projects, namely, …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 1–9 Read article
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Coupled Dynamics in Fluid-Structure Interaction Systems: A Review of Analytical and Computational Models
Abstract: Abstract: Fluid-Structure Interaction (FSI) systems embody the complex, coupled behavior between deformable or flexible structures and surrounding fluid flows. This interaction is inherently nonlinear and dynamic, posing significant challenges in modelling, simulation, and analysis. Understanding and accurately predicting the behavior of FSI systems is critical across a broad spectrum of engineering applications, including aerospace structures undergoing aeroelastic effects, underwater vehicles interacting with fluid currents, biomedical devices, such as heart valves …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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Future - Ready Car Showrooms: Smart & Intereactive Interiors
Abstract: This Research explores the integration of emerging technologies in interior design with a focus on creating smart, adaptive, and future-ready living and working environments. As digital innovation increasingly intersects with the built environment, interior design is undergoing a paradigm shift, transforming passive spaces into intelligent systems that enhance user experience, energy efficiency, and functional flexibility. The study investigates a wide range of technologies including smart lighting, responsive materials, AI-driven automation, …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 2, 2025 · pp. 54–67 Read article
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Hydraulic Traffic Reduction Mechanism
Abstract: AbstractUrbanization and the surge in vehicle ownership have led to escalating traffic congestion, particularlyin densely populated metropolitan regions. Conventional traffic management systems, which depend onfixed lane structures and pre-set signal timings, often struggle to accommodate the increasing andunpredictable nature of traffic flow. This challenge necessitates the development of adaptive andintelligent traffic management solutions that can dynamically adjust to real-time conditions. A novelapproach to mitigating traffic congestion is the Hydraulic Traffic …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 18–23 Read article
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Waste Heat Recovery Technologies for IC Engines: A Comparative Review of Thermoelectric andOrganic Rankine Cycle Systems
Abstract: Abstract Internal combustion (IC) engines, widely used in automotive, marine, and industrial applications, are inherently inefficient due to significant thermal energy losses. A substantial portion of the energy generated from fuel combustion is expelled as waste heat through the exhaust system and cooling fluids. With increasing emphasis on energy efficiency and environmental sustainability, Waste Heat Recovery (WHR) technologies have garnered considerable attention for their potential to enhance overall engine performance …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 11, Issue 1, 2025 · pp. 21–25 Read article
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The Role of Technology Integration in Advancing Construction Education
Abstract: The construction industry is undergoing a significant transformation with the advent of technological innovations, necessitating a parallel evolution in construction education. This study investigates the role of technology integration on student learning outcomes and industry preparedness in construction education, addressing a critical need to bridge the gap between academic and industry requirements. Surveys and interviews were combined in a mixed-method approach. By adopting the purposive sampling technique, a sample size …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 Read article
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Achieving Sustainability in Climate Action, Life on Land and Life Below Water – A Critical Review
Abstract: Abstract Sustainable Development Goals (SDGs), 13 (Climate Action), 14 (Life Below Water), and 15 (Life on Land) are critical for tackling the escalating environmental challenges faced by India. Climate change and environmental degradation pose serious threats to the nation’s unique geographic and ecological diversity, with profound implications for its water resources, marine ecosystems, and terrestrial landscapes. These challenges disrupt biodiversity, compromise ecosystem services, and jeopardize the livelihoods of millions who …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 1, 2025 · pp. 12–23 Read article
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A Literature Review on Comparative Analysis of Non-Contact AI Vision-Controlled Diameter Measurement vs. Conventional Methods in Flux Core Wire Drawing Measurement
Abstract: AbstractEnsuring precise diameter control in flux core wire drawing is crucial for maintaining welding wirequality and performance. Conventional measurement methods, which often rely on manual inspectionor mechanical techniques, face limitations in accuracy, consistency, and responsiveness. This studyexplores the application of AI vision-controlled systems to address these challenges by enabling realtime,high-precision, non-contact diameter measurement. Through an extensive review of researchpapers and patents, this paper examines the advancements in AI-based monitoring techniques …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 8–16 Read article
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Nonlinear Finite Element Approaches for Structural Failure Prediction: A Comparative Assessment with Case Studies
Abstract: Abstract Nonlinear finite element methods (NLFEM) have become indispensable for predicting structural failure in complex engineering systems, particularly where linear models fail to capture critical behaviors, such as large deformations, crack propagation, and post-buckling responses. This study investigates and compares several state-of-the-art NLFEM techniques – namely cohesive zone modeling (CZM), extended finite element method (XFEM), and phase-field fracture modelling – in the context of structural failure prediction. Three representative case …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 1–5 Read article
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Access Management in Compliance: Navigating GDPR, HIPAA, and Beyond
Abstract: Access management is a critical component in firms wishing to abide by strict data protection standards, like the GDPR and HIPAA, but this paper access management regulation requirement in a more contextualized manner regarding GDPR and HIPAA, ending with the recommendation of an overall framework to enforce compliance. It provides best practices regarding data access, user authentication, and monitoring strategies that correspond to changing demands for such regulations. The paper …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 20–28 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Design and Implementation of Autonomous Robots for Crack Detection in Dam Walls: Analyzing Vision-Based Algorithms and Structural Health Monitoring
Abstract: AbstractThe maintenance of dam walls is critical to ensure structural integrity, safety, and efficient water management. Cracks and other structural deficiencies can lead to severe consequences if left undetected. Traditional inspection methods are labor-intensive, time-consuming, and often hazardous, necessitating the development of autonomous systems for effective monitoring. This study focuses on the design and implementation of autonomous robots equipped for crack detection in dam walls, with an emphasis on vision-based …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 14–26 Read article
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Hardware-Centric Analysis and Optimization of Perturb and Observe Techniques for Maximum Power Point Tracking in Solar Photovoltaic Systems
Abstract: Operating conditions like temperature and irradiance fluctuations can significantly reduce the power output of PV systems, presenting a key challenge. Additionally, contemporary MPPT methods demand high computational resources and face difficulties in maintaining optimal PV array output when weather conditions change quickly. The P&O technique, though widely used, falls short in accurate maximum power point tracking amid sudden shifts in solar insolation due to incorrect adjustments in the duty cycle. …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article
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Review and Analysis of Fault Detection in Self-Healing Hardware System
Abstract: Self-healing hardware systems represent a transformative advancement in fault tolerance, enabling devices to autonomously detect, diagnose, and recover from malfunctions to ensure continuous and reliable operation. This paper explores the critical role of fault detection techniques in self-healing systems, focusing on methods such as built-in self-test (BIST), redundancy, and machine learning-based approaches. These techniques facilitate proactive and real-time fault resolution, addressing the limitations of traditional reactive strategies. The study highlights …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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Impact of Exhaust Gas Recirculation on NOx Emissions and Efficiency in Diesel Engines
Abstract: Abstract Exhaust gas recirculation (EGR) has emerged as a pivotal strategy to reduce nitrogen oxide (NOx) emissions from diesel engines, which significantly contribute to air pollution and environmental degradation. NOx emissions pose serious concerns due to their role in forming smog, acid rain, and adverse health impacts. By recirculating a portion of the exhaust back into the intake manifold, EGR reduces these emissions by restricting the manufacturing of NOx and …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Innovative Digital Clusters for EVs: Design, Features, and User Experience
Abstract: This paper examines the development of digital dashboards (clusters) in electric vehicles (EVs) aimed at providing drivers with clear, real-time, and essential information. As EV adoption continues to rise due to government incentives and growing environmental awareness, the demand for an intuitive, user-friendly, and efficient dashboard has become increasingly important. An EV’s digital cluster displays crucial data, such as speed, battery level, estimated driving range, and energy consumption. Additionally, it …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 15–22 Read article
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Voice Drive: Advancing Human-Machine Interaction in Vehicle Control
Abstract: Voice Drive is a cutting-edge project focused on developing an advanced voice-controlled vehicle system with integrated acceleration control, powered by Raspberry Pi and Bluetooth technology. The system's primary objective is to provide intuitive and hands-free control of vehicle acceleration and movement through voice commands, enhancing user experience, safety, and performance. Key components of Voice Drive include sophisticated voice recognition algorithms, precise motor control mechanisms, and seamless Bluetooth communication protocols. Through …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 14–19 Read article
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Decision Trees in Intrusion Detection: A Comparative Analysis of Machine Learning Techniques
Abstract: Recent malware sophistication poses immense challenges in intrusion detection systems, making it imperative to develop highly sophisticated methodologies for detection of fast-evolving cyber threats. Traditional IDS typically employs a signature-based detection approach and has limitations in identifying unknown and obfuscated attacks, particularly zero-day vulnerabilities. This paper discusses the existing limitations of IDS based on ML techniques to further improve the detection capability of such systems. Machine learning algorithms, particularly decision …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article
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Exploring Next-Generation NetworkingArchitectures for IOT innovation
Abstract: Industrial evolution has been brought by the Internet of Things (IoT) which is connectivity of trillions of devices which makes smart systems and how humans and machines communicate easy. But as IoT expands even more the era of wired and wireless networking has been overtaken with issues such as latency, energy and security risk. This paper examines the emerging Internet technologies such as edge computing, 5G, SDN, and block chain …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 1, 2025 Read article