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380 articles for “Optimization Design”
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Selection of Grade of Concrete & Grade of Steel
Abstract: Abstract In structural engineering, understanding the load distribution between steel and concrete is crucialfor ensuring the safety and stability of reinforced concrete structures. The load-bearing capacity ofboth materials, steel and concrete, is dependent on their respective characteristic strengths, whichinclude compressive, tensile, bending, and shear strengths. The behavior of a reinforced concretestructure under various loads is influenced by the interaction between these two materials, wheresteel typically handles tensile and bending stresses, …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 32–37 Read article
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Analytical Development of Electrochemical Biosensors for Real-Time Monitoring of Environmental Contaminants
Abstract: The increasing awareness of environmental pollution has necessitated the development of efficient monitoring systems for the detection and quantification of contaminants. Electrochemical biosensors have emerged as powerful tools due to their high sensitivity, rapid response, and cost-effectiveness. This paper reviews recent advancements in the development of electrochemical biosensors specifically designed for real-time monitoring of environmental contaminants. The design and fabrication of electrochemical biosensors involve the integration of biological recognition elements …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 2, 2023 · pp. 31–37 Read article
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Hydrogen as a Fuel for IC Engines: Challenges, Opportunities, and Future Prospects
Abstract: Abstract The growing global concern over climate change and the ongoing depletion of fossil fuels hassignificantly accelerated the search for alternative fuels in the transportation and power generation sectors. As the world strives for cleaner, more sustainable energy sources, hydrogen has emerged as one of the most promising options, particularly for its application in internal combustion (IC) engines. With its potential to drastically reduce harmful emissions and provide an alternative …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 16–21 Read article
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Investigation of Effect of Clearance between Die and Punch in Deep Drawing Process
Abstract: Deep drawing is one of the significant manufacturing methods used to create automotive parts. The popular execution of process yields when product has minimum defects. Die design, punch nose radius, punch velocity, blank holder force and friction are the main parameters affecting product quality in deep drawing. Clearance between die and punch also plays an important role in deep drawing process. In this research article clearance has been varied from …
Published in International Journal of Metallurgy and Alloys · Vol. 2, Issue 2, 2016 · pp. 1–5 Read article
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EFFECT OF FLY- ASH AND CEMENT ON EXPANSIVE SOIL FOR FLEXIBLE PAVEMENT DESIGN
Abstract: Out of the many types of soils that prevail on the Earth’s crust Expansive soils are observed to be highly problematic by nature. Particularly under conditions of loading, these soils are highly prone to fail due to shear, crushing or excessive settlement. These factors end up expansive soils as unsuitable soils for any construction. If the strength of the soil is poor, then soil stabilization is duly needed. Stabilization is …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 5, Issue 2, 2019 · pp. 48–55 Read article
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Green Computing Strategies for Reducing Energy Consumption and E-Waste in Modern IT Ecosystems
Abstract: Green computing, also referred to as sustainable computing, addresses the urgent need to reduce the environmental impact associated with the design, operation, and end-of-life management of computing systems. As global reliance on digital technologies continues to expand rapidly, the demand for energy-intensive infrastructure such as data centers, cloud platforms, and network systems has increased significantly. This growth has led to rising energy consumption, higher carbon emissions, and an alarming accumulation …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 7–16 Read article
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Farming on Phone: Understanding Cotton Farmers’ Intentions and Feasibility to Adopt ICT-based Agro Advisory Services in Maharashtra, India
Abstract: The use of ICT tools in the agriculture sector for rural farmers has emerged as a potential for empowering farmers and improving their livelihoods as the phone-based agro-advisory services provide farmers with access to tailored relevant information to help them make better decisions about agricultural activities, crop yields, and better management of natural resources. However, understanding the impact of social structure on ICT adoption and perceived impacts is important to …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 8, Issue 2, 2022 · pp. 14–25 Read article
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Ethical Issues and Implementation Challenges of Artificial Intelligence in ICU Care: A Critical Nursing Perspective
Abstract: Background: The integration of Artificial Intelligence (AI) in Intensive Care Units (ICUs) is rapidly advancing, with AI showing potential to improve patient outcomes by enhancing monitoring, predicting deterioration, and optimizing clinical decision-making. Despite its promise, the implementation of AI in critical care environments raises ethical and practical concerns. This study aims to evaluate the impact of AI on ICU outcomes and explore the associated ethical and implementation challenges. Objective:To assess …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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Improving Thermal Comfort and Reducing Peak Cooling Loads in High-Rise Buildings Through the Use of Phase Change Materials in Enhanced Building Envelopes
Abstract: A potential remedy for the problems of peak cooling loads and thermal discomfort in high-rise buildings is the use of phase change materials (PCMs) into building envelopes. This study explores the potential of PCMs to enhance energy efficiency and occupant comfort by reducing heat gain and moderating indoor temperature fluctuations. The paper investigates various PCM types, integration methods, and their impact on building performance through simulations and experimental analysis. The …
Published in International Journal of Sustainable Building Technology · Vol. 8, Issue 1, 2025 · pp. 29–37 Read article
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Improving the Performance of Highway Construction Projects: A managerial approach
Abstract: Highway Construction sector in India is much important as it is the 2nd largest road network in the world with 5.89 million kilometers. Government policies focus on increasing the private participation for infusion of funds in the road development projects. This has attracted the foreign investors participation with many private sectors entering this business through Private Public Partnerships (PPP).In the Highway construction process better Construction Management strategies are still required …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 6, Issue 2, 2020 · pp. 19–30 Read article
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Entropy and Efficiency: Thermodynamic Insights into Sustainable Energy Technologies
Abstract: The transition toward sustainable energy systems requires a deeper understanding of the thermodynamic principles that govern energy conversion and utilization. Entropy and efficiency are central to this discussion, as they define the limits of performance and highlight the irreversibility inherent in real processes. This paper examines the role of entropy generation in renewable energy technologies, including solar photovoltaics, wind turbines, bioenergy, and advanced energy storage systems. By applying exergy analysis, …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article
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Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Sugar Powder Impact on Strength of Concrete
Abstract: Abstract This experimental study examines the effect of adding sugar powder to concrete on its compressive strength. The research explores how sugar powder, when used as an additive in concrete mixtures, alters the concrete’s structural performance, particularly in terms of its ability to resist compressive forces. Through systematic testing and analysis, the study aims to determine the extent to which sugar powder can influence the strength and durability of concrete, …
Published in International Journal of Concrete Technology · Vol. 11, Issue 1, 2025 · pp. 15–21 Read article
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Microservices vs. Monoliths: Choosing the Right Architecture for Your Project
Abstract: This comprehensive paper examines the critical differences between microservices and monolithic architectures, providing an in-depth comparison to guide software architects and developers in selecting the most appropriate approach for their projects. We conduct a thorough analysis of the strengths and weaknesses inherent in each architectural style, taking into account crucial factors such as scalability, maintainability, deployment complexity, and the structure of development teams. Through detailed case studies, performance metrics, and …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 31–38 Read article
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Evolution of Mobile Wireless Generations and the Architectural Foundations of AI-Integrated 6G Networks
Abstract: Wireless communication has moved through five complete technology generations in roughly four decades, and each transition has reshaped how societies exchange information, run businesses, and design cities. This paper is the first instalment of a two-part review and concentrates on the historical arc of that journey, tracing the defining traits, benefits, and shortcomings of 1G through 5G before turning to the architectural groundwork on which sixth-generation (6G) networks are being …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Intelligent Communication Networks for Telematics and Telemetry Applications: A Comprehensive Review
Abstract: Intelligent communication networks have become a fundamental component of modern telematics and telemetry systems, enabling reliable, real-time, and data-driven communication across various industrial, transportation, healthcare, and environmental monitoring applications. The rapid growth of wireless communication technologies, Internet of Things (IoT) devices, cloud computing, and artificial intelligence has significantly enhanced the efficiency, scalability, and adaptability of telematics and telemetry infrastructures. This review paper presents a comprehensive analysis of recent developments in …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 46–57 Read article
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Emerging trends and challenges in telecommunications: a review of 5G/6G, softwarization, edge intelligence, IoT security and enabling technologies
Abstract: Telecommunications research over the last decade has accelerated from the deployment and optimization of 5G to early explorations of 6G, driven by demands for extreme data rates, ubiquitous low-latency connectivity, massive device density and novel services such as extended reality (XR) and holographic communications. This review synthesizes recent developments across six interlocking technology areas: radio access and physical-layer advances (5G/6G), network softwarization (SDN/NFV), edge and cloud-native architectures, artificial intelligence for …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 38–43 Read article
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Assessment of Depth of Girder of Railway Bridge
Abstract: The depth of a railway bridge girder is primarily determined by the span of the girder. The load exertedon the girder by passing trains induces a bending tendency, which is counteracted by the girder'sthickness or depth. This structural depth is crucial in neutralizing the bending moments and ensuringthe stability and safety of the bridge. Furthermore, the calculated depth or thickness of the girder mustbe validated against permissible deflection limits to …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Dynamic Matrix Control Versus Nonlinear ModelPredictive Control for the Van de Vusse ContinuousStirred-Tank Reactor: Diagnosing and Correcting aCost-Function Pathology That Masked NMPC’sTrue Performance
Abstract: The Van de Vusse reaction in a continuous stirred-tank reactor (CSTR) is a benchmark for nonlinear multivariable control, but its narrow operating envelope creates a trap for nonlinear model predictive control (NMPC): when the setpoint step is small relative to the plant’s reachable range, a standard quadratic NMPC cost function can make zero control action mathematically optimal, even with a perfect prediction model. This paper documents that failure mode, traces …
Published in International Journal of Chemical Separation Technology · Vol. 12, Issue 2, 2026 · pp. 55–66 Read article
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Modeling of Material Removal Rate in Micro EDM Using Neural Network
Abstract: In micro-electrical discharge machining (Micro EDM) machining, material removal rate (MRR) is the particular main output parameter. Here we will discover various machining parameters get an effect on the particular MRR. For production industries, to maximize the results from Micro EDM, appropriate predictive designs for MRR must end up being constructed. This particular report utilizes neural network modeling to predict MRR over the particular machining time for assortment of cutting …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 4, Issue 1, 2018 · pp. 30–39 Read article