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897 articles for “current mode”
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Acetoxylation of o, m Cresol by Electrochemical Process at Graphite Electrode
Abstract: Electrochemical processes remain unique because of the nature of specific products formed and their mode of formation in which current is a reactive input in place of redox reagents. The high yields of the products can be obtained by designing and optimizing the electrolysis. The ordinary chemical procedures are multi-staged and may result poor yields. Therefore the best way for minimizing the pollution is transformation of conventional chemical processes to …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 8, Issue 3, 2021 · pp. 13–21 Read article
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Development of Slip Power Recovery Scheme sing Buck-Boost Chopper for Performance enhancement of Wound Rotor IM Drive
Abstract: This paper presents the mathematical modeling and testing of wound rotor induction motor drive (WRIMD) to develop the slip power recovery scheme (SPRS) using buck-boost chopper control techniques improving the performance of drive. The main focus of this research work is on the understanding of methodological development of Simulink model of SPRS. Various mathematical equations describing performance characteristics of WRIMD using SPRS with buck-boost chopper are derived. The performance parameters …
Published in Journal of Power Electronics and Power Systems · Vol. 12, Issue 2, 2022 · pp. 44–63 Read article
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Study of Proximity Points and Fixed Points
Abstract: This paper explores the concepts of proximity points and fixed points, which are fundamental in mathematical analysis and nonlinear functional analysis. Fixed-point theorems play a crucial role in optimization, game theory, differential equations, and dynamic systems. Proximity points, an extension of fixed points, provide a more generalized approach, allowing near-coincidence rather than exact identity. The study discusses classical fixed-point theorems, such as Banach’s contraction principle, Brouwer’s fixed-point theorem, and Schauder’s …
Published in Recent Trends in Mathematics · Vol. 1, Issue 2, 2024 · pp. 28–31 Read article
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Power Quality Improved AC-DC Sepic converter Used for Welding application
Abstract: Abstract— In this paper high frequency isolated ac-dc single phase single ended primary inductance converter (SEPIC) are proposed. Due to use of HF transformer more gain and high power is obtain. Proposed converter offers increased gain which is step-down in nature having less stress on current and also high efficiency. This paper described analysis modeling, and simulation of proposed converter. The performance is described in terms of power quality like …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 1, 2019 · pp. 24–30 Read article
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Evaluation of Critical MMAW Welding Defects Using Computer Simulation in Industrial Manufacturing Systems
Abstract: Manufacturing is one of the key sectors of any countries GDP and welding is one of the prime manufacturing processes of the manufacturing sector. Welding has several notable advantages over mechanical joining techniques, including higher structural integrity, design flexibility, and cost and weight lowers. Welded products/structures are subjected to serious issues of residual stresses and distortions. The performance and sturdiness of the welded structures are severely impacted by weld remaining …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 18–26 Read article
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Coordinating Supply and Demand of Water to Confront Water Security in Mysuru-Nanjangud LPA: A System Dynamics Approach
Abstract: Mysuru-Nanjangud Local Planning Area is one of the Tier-II City in the state of Karnataka. Next to Bangalore, it has a high significance in potential urban development. By the year passes, demographic transitions are increasing with respect to birth rate, death rate, periurban extension, immigration and emigrations within study area. The major challenges to local authority are to meet the requirement in terms of supplying clean and safe water to …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 3, 2017 · pp. 26–33 Read article
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Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
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A Review on Predicting Wear and Friction of PTFE Composites - Fillers to Machine Learning Models
Abstract: Polytetrafluoroethylene (PTFE) composites, a self-lubricating material with low friction, became an indispensable material in engineering applications where load carrying capacity and wear are crucial. The pure PTFE has poor mechanical strength and wear resistance which can be enhanced by the addition of fillers in appropriate volume fraction. The wear performance is dependent on various factors such as fillers, operating parameters, environmental conditions as well as manufacturing attributes. This makes the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 114–128 Read article
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The Future of Machining: Automation and Robotics in Modern Tools and Mechanics
Abstract: With the inclusion of automation and robots in current tools and mechanics, machining has undergone a substantial evolution. While robots has made it possible to automate difficult and repetitive jobs, automation has enhanced productivity, minimized errors, and increased regularity. Automation and robotics in machining have highly improved the industrial sector, delivering in more productivity, reduced prices, and better product quality. Automation and robotics will likely be used in machining increasingly …
Published in Trends in Mechanical Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 29–33 Read article
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Thermodynamic modelling of the effects of high temperatures on brine fluid density
Abstract: Current trends in oil discoveries points to deep water zones characterized by temperatures ranging from 150oC to 350oC which needs good prediction of the fracture pressure and pore pressure hence imperative to continually understand temperature-density relationships of the fluids which are pumped downhole for well control. This paper seeks to propose a new, cost effective and easier method of estimating the reduction in density of brine completion fluid as it …
Published in Journal of Petroleum Engineering & Technology · Vol. 9, Issue 1, 2019 · pp. 26–35 Read article
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Alzheimer’s Disease Classification Based on Transfer Learning of New-CNN Model
Abstract: The long-term, irreversible brain disorder “Alzheimer’s disease (AD)” currently has no known cure. Nonetheless, current medications may impede their advancement. Globally, those over 65 are the primary population affected by Alzheimer’s disease. Accurate detection of this condition requires early diagnosis. Because there are so many people who come with an ailment, manual diagnosis by health specialists is laborious and prone to error. Early detection of AD is a difficult undertaking …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 3, 2025 · pp. 16–23 Read article
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A Systematic Review of Advanced Composite Materials for High-Performance Spur Gear Applications
Abstract: This is a review which provides specific and detailed information regarding the fiber-reinforced polymer (FRP) composite to replace traditional steel in high-performance spur gears with emphasis on mechanical performance, computational modeling, and experimental validation. Methods: The current literature was thoroughly investigated that includes material properties, material simulation (e.g., finite element analysis, FEA), and experimental gear testing procedures (e.g., DIN 51354, ASTM G99). Certain case studies in the aerospace and automotive …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 209–220 Read article
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Monitoring eddy current density fluctuation and power management in doped Al 2 O 3
Abstract: Al2O3 nanowire presents fascinating electrical properties which span from insulating (dielectric) to superconducting. A model is designed to describe the Phenomenon of eddy electric current and eddy current density fluctuation. Ohmic type theorem is developed using the modified Green – Kubo theorem. With little modification Green-Kubo theorem is incorporated to explain the relationship between eddy current density, electric field, and electric conductivity. Then factor contributing eddy current density fluctuations are …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 1, 2024 · pp. 35–45 Read article
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QSAR Modeling Techniques A Comprehensive Review of Tools and Best Practices
Abstract: Quantitative Structure–Activity Relationship (QSAR) modeling has become an essential tool in drug discovery, toxicity assessment, and environmental chemistry. By correlating chemical structure with biological activity or toxicity, QSAR enables the prediction of compound behavior without extensive experimental testing. This approach not only saves time and resources but also supports ethical practices by reducing reliance on animal studies. The evolution of QSAR from basic linear models to advanced machine learning and …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 56–63 Read article
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Depression Detection Using Machine Learning: A Comprehensive Review
Abstract: Depression remains one of the most prevalent mental health conditions globally, yet it frequently goes undiagnosed due to the reliance on subjective evaluation methods. With the growing availability of digital behavioral data and significant progress in machine learning (ML), new possibilities have emerged for the automated detection of depression. This review offers a detailed examination of recent advancements in ML-driven approaches to identifying depressive symptoms. It covers a range of …
Published in Journal of Advanced Database Management & Systems · Vol. 12, Issue 3, 2025 · pp. 27–32 Read article
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Core Elements of Entrepreneurship in the National Petroleum Refining Sector
Abstract: The goal of the current study was to create a model for encouraging entrepreneurship in the country's oil refining sector. This was accomplished by mixing qualitative and quantitative research methods in an exploratory mixed-method approach. The study's qualitative phase concentrated on professionals and experts in the country's oil refining sector, especially those with policy-making responsibilities. These specialists engaged in a Delphi process to come to a consensus on a range …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 48–53 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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A Novel Improved Model of Three-phase Shunt Active Power Filter using Adaptive Tabu Search and Genetic Algorithm in Aircraft Power Utility of 400 Hz
Abstract: A new improved model of aircraft shunt filter has been proposed in this paper. The shunt active power filter model has been improved using Adaptive Tabu Search Algorithm and Genetic Algorithm. ATS algorithm has been used to obtain the optimum value of parameters of the PI controller; whereas Genetic Algorithm has been used to find the optimum value of filter inductor used in active filter. The new improved model of …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 3, 2013 · pp. 6–14 Read article
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Equivalent Linear Circuit for Thevenin and Norton Representation Using Superposition Theorem
Abstract: Using superposition theorem and knowing the Thevenin representation consisting of resistor, independent DC source of a network an equivalent DC network is obtained using SPICE software with linear circuit elements and independent sources and is verified. Also, similarly from the Norton representation, equivalent circuit is obtained. A procedure with Pspice methods to obtain unknown circuit elements using reciprocity theorem is described. Possible examples for (a) only resistive networks and (b) …
Published in Journal of Semiconductor Devices and Circuits · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
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Modernization in Urban Water Distribution System: A Review
Abstract: The physical infrastructure always plays an important role in the urban area. In the water distribution system, usually the water supplied from the various reservoirs to the consumers. The outline of the pipeline will track the road network of the concerned area. Due to rapid urbanization, in an urban area, the demand of water is increasing day by day. Due to this, the pressure on the existing network is growing. …
Published in Journal of Water Resource Engineering and Management · Vol. 5, Issue 2, 2018 · pp. 45–50 Read article