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1760 articles for “Application”
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Cost and Schedule Performance in Construction Projects: Assessing the Usage and Challenges of Planning Techniques in Port Harcourt
Abstract: Abstract Planning is useful for establishing performance metrics during the execution of construction projects and for streamlining cost and schedule outcomes. A well-developed contract plan thus helps to ensure that the project is completed on time, within budget, and to the required standards and quality. Various planning techniques are available for use in enhancing cost and schedule performance on construction projects, each with its applicability, cons, and pros. This study …
Published in International Journal of Construction Engineering and Planning · Vol. 11, Issue 1, 2025 · pp. 15–27 Read article
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Treatment of Leachate by Using Solid Waste
Abstract: Abstract Leachate, a hazardous liquid from landfill decomposition, is a significant environmental challenge worldwide. Traditional collection of solid waste: Gather the solid waste material you want to generate leachate from. This waste could include organic matter, plastics, paper, and other materials commonly found in municipal solid waste. Sorting and compressing: Depending on the initial state of the waste, you may need to shred or crush it to increase the surface …
Published in International Journal of Prevention and Control of Industrial Pollution · Vol. 11, Issue 1, 2025 · pp. 43–49 Read article
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Enhancing Machining Sustainability: ComparativeAnalysis of Dry, Minimum Quantity Lubrication, andCryogenic Cooling Methods
Abstract: AbstractSustainable machining is crucial for minimizing the environmental, economic, and social challengesassociated with modern manufacturing. This study reviews environmentally sustainable machiningapproaches including dry machining, Minimum Quantity Lubrication (MQL), and cryogenic cooling,and evaluates their effects on machining performance and sustainability. Key performance indicators,such as surface integrity, tool wear, energy efficiency and cutting forces, are analyzed across variousmaterials. The findings demonstrate that dry machining eliminates liquid waste but is often limited bytool …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–7 Read article
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A Sensor Integrated Tool for Cutting Force Monitoring in Gantry Milling to Improve Flatness and Surface Finish: Review Study
Abstract: AbstractPrecision machining of sector plates plays a vital role in the efficient functioning of Air Pre-Heaters(APH), which are integral components of thermal power plants. These plates are subjected to harshthermal cycles and mechanical loads, making dimensional accuracy critical. For optimal heatexchange performance and mechanical reliability, it is essential to maintain tight manufacturingtolerances – flatness within ±400 microns and thickness up to 13 mm. Deviation from theseparameters can lead to air …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 25–45 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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Investigation of Tangential Shear Stress and Frictional Torque Coefficient over a Rotating Disk of the Rotor-Stator System
Abstract: Abstract The study investigates the prediction of tangential shear stress and the frictional torque coefficient over a rotating disk in a rotor-stator system under laminar inward flow conditions. The interaction between the rotating and stationary disks is governed by key parameters, such as volumetric flow rate, rotational speed of the disk, and the axial clearance between the two surfaces. These parameters are expressed in terms of dimensionless quantities, including the …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 6–14 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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Finite Element Analysis (FEA) for Nonlinear Behavior in Advanced Materials
Abstract: (FEA) in investigating the nonlinear behavior of advanced materials plays a pivotal role in optimizing the design and performance of modern structural systems. As innovative materials, such as nanocomposites, metamaterials, and shape-memory alloys gain prominence, conventional linear modeling methods become inadequate for accurately capturing the intricate and time-dependent responses exhibited by these materials under diverse loading conditions. This research delves into cutting-edge FEA techniques to simulate and analyze the nonlinear …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 21–26 Read article
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The Effect of Sugar Powder on Strength of Concrete
Abstract: Abstract This study presents a comprehensive experimental investigation into the influence of sugar powder on the compressive strength of concrete. The research aims to systematically evaluate the effects of incorporating sugar powder in varying proportions on the mechanical and structural performance of concrete, particularly when combined with different brands of cement. Concrete cube specimens with standard dimensions of 150 mm × 150 mm × 150 mm were meticulously prepared by …
Published in International Journal of Concrete Technology · Vol. 11, Issue 1, 2025 · pp. 22–28 Read article
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Theory, Concepts, Recent Advances, and an Example of Implementing Blockchain Technology
Abstract: Recently, the Blockchain technique has gained significant attention and is being increasingly adopted across various sectors. Blockchain is fundamentally a sequence of interconnected blocks, each storing essential information. This technology operates as a secure, distributed ledger that allows anyone to access and verify the data stored within it, ensuring transparency and trust. This paper provides a comprehensive overview of Blockchain technology, explaining its core concept, underlying principles, communication protocols, and …
Published in International Journal of Software Computing and Testing · Vol. 11, Issue 1, 2025 · pp. 12–19 Read article
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Advancing Maize Leaf Disease Detection: A Machine Learning Approach
Abstract: Every day, countless grains and fruits are cultivated around the world. To keep up with the growing population’s needs, farmers are constantly adopting new and advanced techniques. Furthermore, the development and application of new technologies enable the quick and simple detection of plant diseases. Identifying plant diseases at an early stage is crucial to minimizing their effects on crop productivity and quality. Traditional diagnostic methods often rely on expert knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 17–25 Read article
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Synthesis of Groundnut Shell Composites: Exploring Chemical Reactions for Particle Treatmentand Modification
Abstract: The utilization of groundnut shell particles as a sustainable and economical filler in composite materials has garnered significant interest in recent years. This manuscript presents an in-depth analysis of the chemical processes involved in synthesizing groundnut shell-based composites, with a focus on the treatment and modification of the particles to enhance their compatibility and functional properties. The study investigates various chemical reactions, including acid and alkali treatments, aimed at altering …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 10, Issue 2, 2025 · pp. 27–32 Read article
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Greener ways of synthesizing Styrene oxide
Abstract: Styrene oxide is a key intermediate used in the fragrance, flavour, polymer and pharmaceutical industries, basically synthesized through processes such as epoxidation followed by distillation. These methods generate effluents that give rise to significant environmental challenges and rendering large-scale commercial production non-viable. The urgency for a greener and more economically viable synthesis routes has given rise to the exploration of alternative methods that produces lesser effluent generation. Enzymatic synthesis offers …
Published in International Journal of Green Chemistry · Vol. 11, Issue 2, 2025 · pp. 14–20 Read article
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The Efficacy of Hybrid Annuity Model: Sanitation Infrastructure
Abstract: The Hybrid Annuity Model has garnered significant acclaim as a Public-Private Partnership (PPP) framework for highway infrastructure development since its inception in 2016, in response to a waning enthusiasm for PPP initiatives aimed at revitalizing the sector. This model is postulated to amalgamate the advantages of both public and private sectors, as it alleviates the financial encumbrance on concessionaires by permitting governmental investment of 40% of the requisite capital during …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 11, Issue 1, 2025 · pp. 1–19 Read article
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Smart Agro-Advisory Systems: AI-Based Platforms for Real-Time Farmer Decision Support
Abstract: Agriculture is a vital sector for food security and economic growth, particularly in the developing world. Farmers, however, often face unpredictability of weather conditions, insect attacks, wasteful use of resources, and uncertainties of the market. Farmers' practices are mostly based on experience and intuition, which might not always be the best to apply. Smart Agro-Advisory Systems (SAAS) based on Artificial Intelligence (AI) offer real-time decision support to farmers, enabling them …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 8–14 Read article
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 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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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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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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Evaluation of Machine Learning and Deep Learning Models for Classification Tasks on Crime Data: A Comparative Study
Abstract: The classification of crime data has grown more and more important for public safety and law enforcement due to the increasing demand for precise and effective predictive models. To classify crime data, this study assesses and contrasts the effectiveness of several machine learning (ML) and deep learning (DL) models, such as decision trees, support vector machines, neural networks, and convolutional neural networks. The study evaluates the models' accuracy, efficiency, and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 1–15 Read article