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371 articles for “engineering analysis”
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Comparative Analysis of Conventional Formwork with Specialized Emerging Formwork Regarding Project Engineering Factors for High-rise Building
Abstract: Today, because of globalization, there have been a number of improvements in the construction of modern technology worldwide, as a result of the quick and reliable distribution of new and emerging technologies through societies worldwide and the cross-border information sharing. Shaping which helps to mount the concrete in the desired shape It is a critical component of the construction to support the loads placed on it, as well as supporting …
Published in Recent Trends in Civil Engineering & Technology Read article
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SpecForesight: A Predictive Analytics Pipeline for Laptop Price Forecasting
Abstract: This paper frames laptop pricing as a supervised predictive analytics problem, transforming product specifications into feature-rich signals to forecast price with calibrated regression models and operational guardrails against drift. A structured pipeline ingests tabular listings, performs data cleaning, and engineers domain-informed features (e.g., central processing unit (CPU) family and clocks, graphics processing unit (GPU) tiering, memory/storage density, display, and touch capabilities), followed by encoding and normalization to optimize model learnability. …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 · pp. 61–71 Read article
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Evaluating UX Design Factors Affecting Efficiency of Composite Material Design and Analysis Platforms
Abstract: Within engineering software platforms that involve the design, simulation and characterization of composite materials, user experience (UX) design has become a key determinant for efficient use. This research aims to quantify how user experience design parameters relate to productivity in composite engineering workflows by analyzing the relationship between usability, learnability, accessibility, complexity of the UI, navigation efficiency and users engineering results satisfaction. Computational techniques in python were used in the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 341–366 Read article
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Implementation of the Tridiagonal Matrix Algorithm (TDMA) in C: A Practical Approach
Abstract: This paper presents a practical implementation of the tridiagonal matrix algorithm (TDMA), also known as the Thomas algorithm, using the C programming language. The TDMA is a commonly used algorithm for solving systems of linear equations where the coefficient matrix is tridiagonal. The paper draws a detailed step-by-step process of the algorithm’s development, from forward elimination to backward substitution, with a focus on minimizing computational difficulty compared to standard Gaussian …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 36–43 Read article
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Polymer Matrix Characterization and Interfacial Engineering in Bamboo/Sisal/Chopped Mat Hybrid Fiber Composites
Abstract: The present investigation focuses on the characterization of polymer matrices and the interfacial behavior of bamboo, sisal, and chopped strand mat (CSM) fiber-reinforced epoxy composites. The work aims to understand how natural fibers influence the curing, thermal, and adhesion properties of hybrid composite systems. Experimental analyses were carried out using differential scanning calorimetry (DSC), dynamic mechanical analysis (DMA), thermogravimetric analysis (TGA), and Fourier transform infrared spectroscopy (FTIR) to evaluate curing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 123–135 Read article
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Recognition of Engine Parameters for Mahua Biodiesel by Analyzing the Performance Using OFAT Approach
Abstract: The review work deals with the prediction of significant engine input parameters by the use of one factor at a time approach. The technique is a trial of experiments by varying only one engine input parameter and others remain at constant values. The various engine input parameters are found from the literature review. In the current work, six engine input parameters are predicted from the past research. These are blending …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 1, Issue 1, 2023 · pp. 1–10 Read article
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A Geospatial Analysis of Correlation Between Built-up Area and Vegetation Coverage using Google Earth Engine in Saint Martin Island, Bangladesh
Abstract: Background: This study explores the complex interconnection between expanding human settlements and fluctuating plant life on the island of Saint Martin, Bangladesh, utilizing cutting-edge geospatial techniques through the open-source Google Earth Engine platform. The rapid population boom in Bangladesh and tourism-fueled development on Saint Martin Island stir serious worries about their ecological consequences. Methods: Remote sensing data sourced from Landsat 5 TM and Landsat 8 OLI/TIRS satellites between 1991 and …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 21–29 Read article
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Innovations in Civil Engineering: Advancing Infrastructure through AI Technology
Abstract: A comprehensive exploration of the intersection of civil engineering and artificial intelligence (AI) technology, highlighting the transformative impact of AI on infrastructure development, management, and sustainability. The journal encompasses a wide array of research articles, case studies, and reviews that demonstrate the integration of AI into various facets of civil engineering, including but not limited to smart infrastructure, predictive maintenance, structural analysis, and urban planning. By showcasing cutting-edge applications and …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 1–11 Read article
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Statistical Modeling of Heat Transfer and Fluid Dynamics: Application in Mechanical Engineering Design
Abstract: Understanding and optimizing the intricate processes involved in heat transfer and fluid dynamics—two concepts essential to mechanical engineering design—require statistical modeling. Engineers can forecast, regulate, and enhance the performance of systems including heat exchangers, turbines, cooling mechanisms, and different fluid machinery by using statistical approaches. In order to address uncertainties, variability in material properties, boundary conditions, and operational parameters, this work investigates the integration of statistical modeling tools in the …
Published in Research & Reviews : Journal of Statistics · Vol. 13, Issue 2, 2024 · pp. 18–22 Read article
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Webometric Indicators and Digital Impact: An Evaluation of Top Ten NIRF-Ranked Indian University Websites
Abstract: This paper compares the webometric performance and digital presence of the top ten NIRF 2025–ranked Indian universities through their official websites. Data regarding total links (internal and external), Google-indexed links, URLs, and the Web Impact Factor (WIF) were gathered and analyzed using Google as the main search engine. The data collection and interpretation are based on the use of link analysis tools and search engine optimization (SEO) techniques. The analysis …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 1–9 Read article
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An Adaptive Approach for Real-Time Embedded System Design, Analysis and Optimization
Abstract: Real-time embedded systems are critical components in various domains, such as automotive, aerospace, healthcare, and industrial automation. The design, analysis, and optimization of these systems are vital to ensure their reliable and efficient operation. In this paper, we propose an adaptive approach for real-time embedded systems that aims to address the challenges faced during the development process while maintaining high-quality results. Our approach leverages adaptive techniques to dynamically adjust the …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 8–14 Read article
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Evaluation of the Emission and Engine Operability of Biodiesel and Biodiesel Blends Produced from Alkali-Catalyzed Esterification and Transesterification of Jatropha Oil Feedstock
Abstract: This study reports on the engine performance analysis of biodiesel and blends produced from jatropha-based bio-oil feedstock via combined esterification and transesterification process, the physiochemical of the bio-oil, and subsequent biodiesel produced. Jatropha bio-oil was characterized to determine its fuel properties. A liquid phase transesterification reaction at 60 min reaction time, 50°C temperature, using a methanol-oil molar ratio of 40:1 and 0.35 g of sodium hydroxide (NaOH) catalyst was carried …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 1, 2025 · pp. 9–21 Read article
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Life Cycle Assessment (LCA): A Tool for Sustainable Development and Environmental Management of Products
Abstract: Life cycle assessment (LCA) is a crucial technique for clearly understanding how much room there is for product improvement in a given good or service. Because of its high cost and application in eco-design, supply chain management, green buying, sustainable investing, and other relevant activities, manual data engineering and analysis processes. Traditional LCA methodologies and technology may need more scalability regarding substantial product portfolios and expanding reporting requirements. The Sustainability …
Published in International Journal of Industrial and Product Design Engineering · Vol. 1, Issue 2, 2023 · pp. 16–25 Read article
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Precision in Progress: The Crucial Nexus of Instrumentation and Measurement in Biotechnology Advancements
Abstract: This comprehensive review examines the critical importance of instrumentation and measurement technologies in enabling advances across diverse domains of modern biotechnology. Detailed examples are provided demonstrating how analytical tools empower quantitative biology, drive discoveries, catalyze innovations, and provide solutions to global challenges. The historical evolution of bioanalytical techniques is traced, highlighting milestones that unleashed new capabilities. Current trends and future outlook are explored, underscoring the ongoing pivotal need for precision …
Published in International Journal of Molecular Biotechnological Research · Vol. 1, Issue 2, 2023 · pp. 11–19 Read article
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Productivity Estimation of any Manufacturing Industry Using Fuzzy Logic in MATLAB Software
Abstract: In every industry/organization Labor Productivity plays a major part in the overall growth and production. Many time it is observed that industries do not attain their desired goals due to poor labor productivity. Labor Productivity is dependent on many different factors like Delay in Payment, management supervision over workers, proper work planning and scheduling, poor site safety program, lack of financial motivation system, etc. In this study, we estimated labor …
Published in International Journal of Manufacturing and Production Engineering · Vol. 2, Issue 2, 2024 · pp. 1–14 Read article
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Pneumatic Operated Engine
Abstract: The increasing awareness of fossil fuel depletion & environmental pollution has accelerated the need for the development of sustainable & eco-friendly alternatives to traditional internal combustion engines. Pneumatically operated engines have been identified as a potential alternative for small-scale mechanical power generation owing to their advantages of zero exhaust emissions, noise reduction & operational safety. This paper describes the design, development & performance analysis of a pneumatically operated engine, which …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 1–7 Read article
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Crack Propagation Analysis in Metallic Alloys: A Comparative Study of Traditional and Advanced Materials
Abstract: A vital component of materials science and engineering, crack propagation analysis is essential to determining the structural integrity and dependability of materials. Designing safe and long-lasting structures for a variety of sectors required an understanding of how cracks begin, spread, and interact with a material's microstructure. To guarantee the performance, safety, and dependability of materials in a variety of applications, crack propagation analysis is essential. It offers insightful information about …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 33–41 Read article
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Risk Management in Civil Engineering by FTA, FMEA and Risk Matrix
Abstract: Infrastructure projects, particularly in civil engineering, are fraught with uncertainties that manifest as both physical and financial risks. The project report, titled Quantifying and Managing Financial and Physical Risks in Infrastructure Projects, aims to bridge the existing gap between managing these two critical categories of risks. By integrating advanced statistical methodologies such as Failure Mode and Effects Analysis (FMEA), Fault Tree Analysis (FTA), Risk Matrix, and Regression Analysis, this study …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 1, 2025 · pp. 34–46 Read article
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Research Paper A Review of Symmetry in Mechanical Systems: Theoretical Systems Foundations and Engineering Applications
Abstract: In mechanical system analysis and design, symmetry is of mechanical systems. This article examines the idea of symmetry in mechanical systems, exploring its mathematical foundations (such as Lie algebras and group theory) and how these ideas help explain the behavior, stability, and control of the system. We explore the applications of symmetry in a range of mechanical systems, from basic mechanical connections to intricate multi-body dynamics, emphasizing the benefits of …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 15–19 Read article
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Data-Driven Energy Forecasting for Smart Homes: Ensemble Learning from IoT Meters and Relevance for Polymer-Composite Based Smart Infrastructure
Abstract: Reliable estimation of household electricity demand is relevant in creating efficiency in energy usage, optimization of the loads, and intelligent demand-side management in intelligent grid systems. This paper introduces a varied machine learning model that approaches residential electric consumption prediction using an assortment of ensemble regression boosts, including Linear Regression, Lasso Regression, Decision Tree Regressor, Random Forest, and Gradient Boosting, to predict residential electricity consumption environments on a time-series arrested …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 29–64 Read article