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1466 articles for “Integration Method”
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Effects of Bearing Design Parameter on Working Characteristics of Floating Ring Bearing
Abstract: The working stability of turbochargers supported by floating ring bearings depends on not only the structure of the rotors but also working characteristic of floating ring bearings. These working characteristics are related to working conditions and design parameters of floating ring bearings. The main goal of this research is to investigate the working characteristics of bearings by design parameters of floating ring bearings. In order to study the working characteristics …
Published in Journal of Experimental & Applied Mechanics · Vol. 15, Issue 3, 2024 · pp. 39–52 Read article
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An Innovative AI-Integrated Approach for Identifying the Tensile Robustness of Polymeric Materials
Abstract: Polymeric materials have so many applications and character similar to flexibility, robustness and lightweight nature they are essential to a large variety of industries. Though, it is difficult to establish their tensile robustness appropriately, particularly in a variety of environmental situation. Provide a recommended Artificial Intelligence (AI)-integrated method to decide the issues of rapidly ascertaining the tensile robustness of the polymeric material. Using machine learning (ML), this study, predicted and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 90–97 Read article
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Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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Comprehensive Analysis of Nutritional Constituents in Food: A Quantitative and Qualitative Approach
Abstract: The nutritional value of food is the quality & safety of food, and its effect on human health. The quest for food composition demands an integrated, quantitative and descriptive treatment. Nutritional Components Major nutritional components including carbohydrates, proteins, fats, vitamins, minerals and dietary fiber, were studied in selected food samples. We applied quantitative techniques such as proximate analysis, spectrophotometry, and chromatography to quantify levels of micronutrients and macronutrients. Qualitative analysis …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 14, Issue 3, 2025 · pp. 29–39 Read article
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Aspect-Based Sentiment Analysis Using a Hybrid Approach with Dependency Parsing
Abstract: The rapid expansion of digital communication has resulted in an unprecedented volume of consumer-generated textual data across online reviews, social media platforms, forums, and e-commerce websites. Extracting meaningful insights from this data is increasingly important for organizations seeking to understand customer opinions, preferences, and behavioral trends. Despite significant advances in sentiment analysis, many existing approaches primarily focus on surface-level features and often overlook deeper syntactic and semantic relationships within text. …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Comparative Study of Uniform and Non-Uniform Beams Resting on Bi-Parametric Foundation Under Harmonic Load with Time Dependent Boundary Conditions
Abstract: In this study, we investigated uniform and non-uniform damped and time-dependent elastic beams resting on bi-parametric foundation subjected to harmonically varying moving load. The beam properties, including moment of inertia and mass per unit length, were assumed to be either constant or varying with position along the beam span in this study. The solution methods were based on Mindlin-Goodman method, Fourier sine transformation, weighted residual method, integral transformation, and theory …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 33–48 Read article
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Numerical and Experimental Investigation on I-type Damage Evolution in Glass Fiber Reinforced Laminates Subjected to Quasi Static Loading
Abstract: Glass fiber reinforced polymer composites has become more popular material used in aerospace and marine structural applications due to their specific strength and anti-corrosion properties. The present work discusses the numerical and experimental investigation on I-type damage evaluation in glass fiber reinforced laminates under quasi-static loading is presented. Three volume fraction of glass and resin (40/60, 50/50 and 60/40) plies were selected for both numerical and experimental damage analysis. The …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 3, 2017 · pp. 27–33 Read article
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Dosimetric Aspects of Poly(ethylene- g - maleic anhydride)
Abstract: Electron spin resonance (ESR) spectroscopy is considered to be finger print technique to identify chemical structures of irradiated polymers. To prove this, ESR spectra of unirradiated and irradiated maleic anhydride grafted poly ethylene (MANPE)are recorded under different conditions. The ESR spectra show multiplehyperfine lines with latent structure corresponding to macro radicals . Radiation dose dependency on chemical structure of MANPE has been investigated by recording ESR spectra at various radiation …
Published in Journal of Polymer & Composites · Vol. 7, Issue 3, 2019 · pp. 20–23 Read article
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Conductive Polymer Nanocomposites for Wearable Cardiac Monitoring Devices
Abstract: Wearable cardiac monitoring devices are increasingly important tools for non-invasive, continuous assessment of cardiac health. Their growth is driven by increases in the incidence of arrhythmias and by a great demand for remote monitoring. This is changing with the use of conductive polymer nanocomposites (CPNCs). They combine physical properties of mechanical flexibility, high electrical conductivity, and good biocompatibility resulting in high precision, and comfortable sensing. CPNCs combine conductive polymers with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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A research note on a study of motion characteristics of tension leg spar
Abstract: The present research note, reports a study on the dynamic motion analysis of a tension leg spar (TLS). In the research note the time domain analysis is done using USFOS*TM software for a tension leg spar supporting a ‘National Renewable Research Laboratory (NREL)’ 5MW wind turbine at an operating depth of 320m to determine the dynamic responses of tension leg spar subjected to sea state 11 (=15m and =16sec). Motion …
Published in Journal of Offshore Structure and Technology · Vol. 4, Issue 3, 2017 · pp. 1–20 Read article
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Assessment of groundwater potential zones in the basaltic terrain: a case study from in and around Gondar town, North West Ethiopia using remote sensing and GIS technologies
Abstract: Geospatial technology has wide applications within the groundwater resource assessment studies. Satellite images are increasingly being used in groundwater exploration due to their utility in distinguishing numerous geo-system options. The present study has been disbursed in and around Gondar, Ethiopia. The groundwater potential zones were depicted from the six geo-system parameters like lithology, lineament density, geomorphology, slope, land use/land cover, and drainage density using weighted overlay analysis methodology. Integration of …
Published in Journal of Remote Sensing & GIS · Vol. 10, Issue 3, 2019 · pp. 1–17 Read article
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New Integral Processes Enrichment of Moroccan Oil Shale using Mineral and Hydrometallurgical Methods
Abstract: In this work, we increase the calorific value of Moroccan oil shale, which is the main element in the combustion of fossil fuels. In particular, we consider the shale of Timahdit, enriching it by hydrometallurgical and mineral processing methods in order to use it to generate thermal and electrical energy. Although different studies have been conducted for the development of Moroccan oil shale, but they have not dealt with the …
Published in Journal of Petroleum Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 28–36 Read article
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Software Development for Computers That Are Brand New
Abstract: The purpose of this study is to present a novel method to software development that is intended to answer the issues that are constantly changing in the realm of computer programming and application development. The demand for software solutions that are superior in terms of efficiency, scalability, and adaptability has substantially increased in tandem with the rapid advancement of technology. The development approach that has been offered integrates contemporary methods …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 07–18 Read article
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Improved Power Transfer Capability and Optimization of Photovoltaic Power Plants
Abstract: Grid integration is the process of linking distributed energy resources, such as small-scale photovoltaic systems, to the electrical grid. Improving the power quality in the integrated grid of small-scale solar plants requires addressing many technological issues in order to create a secondary distribution network. Thus, this review provides a thorough synopsis of the current state of the art in power quality improvement methods for grid integration, with a focus on …
Published in Trends in Electrical Engineering · Vol. 15, Issue 3, 2025 · pp. 12–20 Read article
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Singularity Elimination in Current Distribution of a Dipole Antenna in Method of Moment (MOM)
Abstract: In this paper, the singularity subtraction technique for method of moments applying for a dipole antenna is explained. In the calculation of the current distribution waveform for the dipole antenna using method of moment from the Pocklingtons' Integral Equation has faced many logarithmic singularity terms. To avoid the singularities in this paper, we modify the Greens' function which is a major portion of the Pocklington's Integral Equation. The Pulse function …
Published in Journal of Microwave Engineering and Technologies · Vol. 2, Issue 3, 2015 · pp. 9–15 Read article
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From Differential Equations to Data Science: A Survey on Analytical Methods in Contemporary Problems
Abstract: The integration of differential equations and data science methods represents a dynamic and evolving approach to solving contemporary challenges across a wide range of disciplines, including engineering, physics, biology, economics, and finance. Differential equations have long served as fundamental tools for modeling continuous systems and processes, offering powerful insights into the behavior of natural and man-made phenomena. For example, they describe how heat diffuses through materials, how populations grow in …
Published in Recent Trends in Mathematics · Vol. 2, Issue 2, 2025 · pp. 1–6 Read article
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Design of Disturbance Observer for Third- Order Interval Plants
Abstract: This paper outlines the development of a disturbance observer (DOB) specifically tailored for third-order interval plants, which are distinguished by uncertainties in their parameters. Utilizing an interval-based modeling approach, this design effectively captures variations in system dynamics, providing robust control solutions for plants with parameter uncertainties. The key focus is creating a disturbance observer capable of real-time estimation and compensation for external disturbances and model uncertainties. The proposed DOB is …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article
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A Review of Statistical Project Control Tool for Construction Industry
Abstract: AbstractProject management at construction industry is a complex task which involves qualitative and quantitative analysis of the activities. Various statistical models have been developed and suggested by the researchers which aim at making the process of managing construction projects more systematic and to access any shortcoming at the proper time, before it leads to the failure of the project. This paper presents and overview of such methods and discusses theirimportance …
Published in Journal of Structural Engineering and Management · Vol. 5, Issue 1, 2018 · pp. 18–21 Read article