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72 articles for “Analytical Modeling”
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Optimization and Analysis of Pulsation Dampener
Abstract: This paper presents a new method for generating computer-aided models and analysis of pulsation dampeners used in fluid power systems to reduce vibration. Pulsation dampeners are widely used in different energy systems to measure the backlash that is driven by power pumps. The vibrations caused by the power pumps in the water system can be strong enough to cause structural damage to the pipes if the pulsation dampener is not …
Published in International Journal of Computer Aided Manufacturing · Vol. 6, Issue 1, 2020 · pp. 53–56 Read article
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Ignition Characteristics for Thermal Runaways of Hazard Chemical Reactions of Different Degree of Reactions
Abstract: Thermal explosion characteristics of a hazardous chemical reaction of different reaction order have been investigated analytically and numerically for both Arrhenius and Frank-Kamenetskii approximation models for the rate of reaction. The critical conditions in the temperature-time, concentration-time, and temperature – concentration planes of solutions are presented. A comparison between the results of analytical solutions in these planes is offered. The solutions show that the critical states in the temperature-time plane …
Published in International Journal of Energetic Materials · Vol. 1, Issue 1, 2015 · pp. 31–55 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 33–40 Read article
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Analytical Evaluation of heavy metals in eyeshadows: A Risk assessment and Implications for Public Health Regulatory Reforms in Nigeria
Abstract: This study employs advanced analytical techniques to assess heavy metal contamination (Pb, Cd, Cr, Ni, Zn) in 18 commercially available eyeshadow products (local and imported) from Owerri Metropolis, Nigeria. Quantification was conducted using atomic absorption spectroscopy (AAS), while risk evaluations incorporated chemometric modeling approaches. Results revealed significant contamination in locally manufactured brands, particularly those containing calabash chalk (Nzu) as a base ingredient. Lead and nickel concentrations reached 166.58 ± 6.5 …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 Read article
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Unveiling Employee Attrition: Harnessing Predictive Modeling for Proactive Workforce Management
Abstract: This study aims to predict employee turnover and identify organizational factors contributing to attrition by employing predictive analytics techniques. Employee attrition, which refers to the loss of employees without immediate replacements, leads to reduced overall workforce productivity. The study evaluates different machine learning techniques, such as gradient boosting, random forest, and logistic regression, to identify employees who are most likely to leave, and uses SPSS software to ensure the reliability …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 1–10 Read article
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Modeling, Analysis and Vibrational Behaviour of A Steam Turbine Blade
Abstract: In this research work, the 2nd LP stage of 250MW steam turbine that having 102 blades is considered and blade geometry for various cross-sections had developed with inputs given as co-ordinates which is from blade root to tip of the portion by using UNIGRAPHICS. In order to achieve its desired performance for a steam turbine blade, the blade material has to withstand ambient conditions such as loading, temperatures, pressures and, …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 6, Issue 1, 2020 · pp. 27–45 Read article
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Data-Driven Multiscale Design of Nanostructured Composite Materials for Sustainable Engineering Applications.
Abstract: The increasing demand for high-performance, lightweight, and environmentally sustainable materials has accelerated the advancement of nanostructured composite systems in modern engineering. This study develops a comprehensive data-driven framework for the multiscale design and optimization of nanostructured composite materials, with emphasis on the interaction between structure–property relationships across nano-, micro-, and macro-scales. By integrating hybridization strategies with intelligent manufacturing techniques—such as machine learning-assisted modeling and additive fabrication—the research addresses critical limitations …
Published in International Journal of Composite and Constituent Materials · Vol. 12, Issue 1, 2026 · pp. 48–58 Read article
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An Integrated Machine Learning and IoT-Based Framework for Predictive Urban Water Demand Management and Distribution Optimization
Abstract: Abstract Urban water resource management has become increasingly complex due to rapid urbanization, population growth, climate variability, and aging infrastructure. Conventional water management approaches are often reactive, inefficient, and incapable of handling real-time fluctuations in demand and supply. This study proposes an integrated framework that combines machine learning (ML) techniques with Internet of Things (IoT)-based real-time monitoring to enhance water demand prediction and optimize distribution systems in urban environments. The …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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A Multi-Criteria Approach to Assessing the Revival of Heritage Through Adaptive Reuse: The Case Study of Fagbewesa’s House in Osogbo, Osun State Nigeria
Abstract: Heritage buildings often become obsolete in their original functions, leading to vacancy and deterioration. Adaptive reuse emerges as a vital strategy for conserving these structures, providing new life and utility while preventing their demolition. This approach supports sustainable heritage conservation by preserving both the tangible and intangible values of the original buildings, enhancing the resilience of building materials, and minimizing waste and time. The decision-making criteria for adaptive reuse encompass …
Published in International Journal of Architectural Heritage · Vol. 8, Issue 1, 2025 · pp. 1–17 Read article
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A Comprehensive Survey on Optimizing Storage Models, Data Layouts, and System Catalogs
Abstract: This survey compares four papers that propose solutions for optimizing the storage model, data layout, and system catalogs in data management systems for hybrid workloads, which consist of both analytical and transactional queries. These solutions include a main memory hybrid storage engine that separates the storage of analytical and transactional data and uses a sophisticated query optimizer, a hands-free adaptive store that adjusts the storage layout based on access patterns, …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 1–8 Read article
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Enabled Impairment Cognizant Of Elastic Optical Networks By Traffic Grooming And Multipath Routing
Abstract: The large bandwidth of fibre optical networking is far wider than the typical bandwidth required by network service providers. This variation leads to a need for multiplexing the low rate traffic demands into optical wavelength channels, but this call for a extravagant electronic swapping devices, potentially equalizing the advantage of low cost optical transport. Traffic grooming and multipath routing are two techniques that are being commonly used to increase the …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 2, Issue 1, 2016 · pp. 24–28 Read article
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A Comprehensive Combustion Kinetics Modeling Study of Iso-Octane and Air Mixtures
Abstract: The oxidative behavior of the iso-octane (2,2,4-trimethylpentane) has been studied in a range of experimental facilities in order to investigate the relatively unexplored combustion chemistry of the title species and to provide combustor relevant experimental data. The ignition of iso-octane/air and iso-octane/O2 mixtures was studied at temperatures of 600–1300 K, pressures of 1–50 atm, and equivalence ratio 0.5 to 2. This study has been conducted analytically using a kinetic scheme …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 4, Issue 2, 2018 · pp. 30–38 Read article
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Advances in Applied Chemistry: From Electrochemical Biosensors and Gas Sensing to Sustainable Remediation and Nanofluid Engineering
Abstract: Applied chemistry acts as a crucial link between fundamental molecular science and practical technological innovation. It transforms theoretical knowledge into real-world applications that address challenges in healthcare, environment, and industry. This review highlights recent advancements in electrochemical biosensors, which offer rapid and sensitive diagnostic capabilities, along with modern gas detection technologies designed for improved safety and environmental monitoring. Significant attention is given to environmental remediation, particularly the use of activated …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 20–25 Read article
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A Comprehensive Review of Smart Parking Systems: Technologies, Challenges, and Future Directions
Abstract: Abstract Smart Parking Systems (SPS) are gaining significant attention as a critical solution to address the growing concerns of urban congestion, inefficient use of parking spaces, and environmental sustainability. This paper presents a comprehensive review of SPS, focusing on the key technologies, challenges, and future directions. We explore the integration of advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and sensor networks in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–13 Read article
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Performance of Weibull Distribution Function on Prediction Based EH-CRN with Diverse Fusion
Abstract: Reduction of energy footprint and spectral underutilization are the two major challenges for communication technology. Energy harvesting (EH) enabled cooperative cognitive radio network (CRN) promises to address this pertinent issue and aspires to play the pivotal role in driving future wireless communication. The distribution function plays an important role on the performance of such model. In this paper, we introduced Weibull distribution function in characterizing the primary user activity and …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 1, 2020 · pp. 35–47 Read article
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The Effect of Stand-off Distance and Blast Yield OverStructure in Blast Test
Abstract: AbstractExplosive loads have garnered a lot of attention lately because of numerous unintentional and deliberateoccurrences that have affected important structures all over the world. As a result, there has been a lot ofresearch in this area over the last ten years. Although most of the early studies were empirical, morerecent studies have progressed into thorough and organized studies that focus on understanding thebehavior of structures subjected to blast loading conditions. …
Published in International Journal of Structural Engineering and Analysis · Vol. 12, Issue 1, 2026 Read article
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A Review of Video Compression Technique of an Efficient Rate-Distortion
Abstract: The digital video compression technology has been gaining popularity for many years. Today, when people enjoy HDTV (high-definition television), movie broadcasting through the Internet, or the digital music, such as MP3, the convenience that the digital video industry brings to us cannot be forgotten. All of these should attribute to the advances in compression technology, enhancement on mass storage media, or streaming video/audio services. Most rate-distortion optimized division way of …
Published in International Journal of Digital Communication and Analog Signals · Vol. 4, Issue 2, 2018 · pp. 1–8 Read article
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Predicting User Engagement on Social Media: A Comparative Study of Machine Learning-based Modeling Approaches
Abstract: Abstract Even while mobile social apps are becoming more and more important in people's daily lives, little is known about the elements that motivate users to interact with these apps. The goal of this work is to analyze and define the transition patterns of individual users' in-app actions as a temporally changing action graph. According to our investigation, action graphs are a useful tool for characterizing user behaviour patterns and …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 41–62 Read article
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Data Analytics and Visualization for Unveiling Insights from Digital Twins: Trends and Challenges
Abstract: igital twins represent a paradigm shift in engineering analytics and simulations. As virtual replicas of physical assets and processes, digital twins require the confluence of massive amounts of data, predictive analytics, and visualization capabilities to unlock their full potential. This study provides a comprehensive overview of the role of data analytics and visualization techniques in extracting value from digital twin data. An in-depth literature review analyzes current research trends and …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article