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897 articles for “current mode”
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CONVERSION BETWEEN T-π OF NETWORKS USING PSPICE CIRCUIT SIMULATION
Abstract: Any passive network can be represented by their equivalent in either T-π (star-delta)model. From the conversion methods of T-π (star-delta) for resistive circuits, the behavioural modeling of Pspice simulation program, in which various mathematical equations could be represented by non-linear voltage/current dependent sources, is used to obtain equivalent circuits using DC option. The resistors are represented by their linear voltage/current relation. The zero voltage sources are used to measure currents …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 3, 2022 · pp. 9–14 Read article
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Maximum Power Point Tracker and its model in MATLAB
Abstract: The study says that In a (Power-Voltage or current-voltage) curve of a solar panel, there is an optimum operating point such that the PV delivers the maximum possible power to the load. This unique point is the maximum power point (MPP) of solar panel. Its mathematical models of the components of PV module that is MPPT model uses the MPPT control unit, and Buck- Boost converter to implement a simulation …
Published in Journal of VLSI Design Tools and Technology · Vol. 9, Issue 3, 2019 · pp. 26–31 Read article
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Atmospheric Modeling: A Comprehensive Review of Numerical Approaches and Applications
Abstract: Atmospheric modeling plays a crucial role in understanding and predicting atmospheric processes, weather patterns, and climate variability. This review synthesizes current methodologies and applications across several types of atmospheric models, including numerical weather prediction (NWP), climate models, air quality models, and chemical transport models. We explore the intricacies of data assimilation, model evaluation, parameterization, and the importance of high-performance computing in advancing model accuracy and efficiency. Special emphasis is placed …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 16–21 Read article
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Nitro IDE: Exploring Integrated Development Environments: Current Trends and Innovations
Abstract: Integrated Development Environments (IDEs) have become essential in modern software development, offering a centralized platform that brings together source code management, debugging tools, version control, and compilation features. This study offers an in-depth analysis of various IDE platforms, with a particular focus on Eclipse as a widely used open-source integration environment. It also explores specialized IDEs tailored for embedded systems and enterprise-level Java (J2EE) application development. Additionally, the study examines …
Published in Journal of Open Source Developments · Vol. 12, Issue 2, 2025 · pp. 35–40 Read article
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Design and Validation of Polymer-Separated Lithium-Ion Battery Powered Mini-UPS for Networking Applications
Abstract: Due to the growing use of semiconductor-based electronic devices in networking applications, power interruptions can cause data loss, productivity loss, and system disruptions. To eliminate these outages, Mini Uninterruptible Power Supplies are expensive and have single-use batteries with shorter battery lives. These networking wires, cables, and other electrical components are polymer-insulated. Polymers with low dielectric constants have the potential to improve antenna interlayer dielectrics, communication cables, and other hardware for …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 917–933 Read article
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An Analysis of Machining Parameters for Metal Matrix Composite
Abstract: The electro-discharge machining analysis of hybrid Composite is presented in this work. Variables are chosen for the input process parameters. The material removal rate is acknowledged as an output parameter, together with the current, graphite and silicon carbide percentage and pulse on time. We used the Taguchi Method to conduct our experiments. To create the theoretical model and look into how process parameters affect the rate at which material is …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 76–85 Read article
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Simultaneous Optimization of Multiple Performance Characteristics in MIG Welding for Machining AISI-304 Stainless Steel by Weighted Principle Component Analysis
Abstract: The effect of MIG welding parameters specifically Welding current, Voltage, Gas flow rate and Plate thickness during welding of AISI-304 stainless steel Material on MIG welding machine at different level presents in this work. All the welding parameters are modeled using Taguchi-based Principle Component Analysis (PCA). Principal component is used as multiple responses optimizing technique to drive optimal solution, which gives the overall quality index in experimental process, and finally …
Published in Journal of Experimental & Applied Mechanics · Vol. 9, Issue 3, 2018 · pp. 77–85 Read article
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Collaborative Care for Diabetic Retinopathy: Integrating Artificial Intelligence and Clinical Pharmacy Services - A Comprehensive Review
Abstract: Background: Diabetic retinopathy (DR) remains the leading cause of blindness among working-age adults globally, affecting approximately 103 million people worldwide. The integration of artificial intelligence (AI) technologies with clinical pharmacy services presents unprecedented opportunities to enhance screening, diagnosis, and management of DR through collaborative care models. Objective: This comprehensive review examines the current landscape of collaborative care approaches for diabetic retinopathy management, focusing on the integration of AI-powered diagnostic tools …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 15, Issue 3, 2025 · pp. 118–128 Read article
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Artificial Intelligence and IoT Integration for Real-Time Violence Monitoring
Abstract: The peace and tranquility of any place can be affected greatly by the insurgence of violence and violent attacks that are perpetrated by individuals with malicious and nefarious intentions. These individuals terrorize the areas and can cause a lot of harm and damage to people and public property. The incidences of violence are undesirable and can be problematic to handle by the law enforcement agencies, as these acts are committed …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 · pp. 39–45 Read article
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Wilson Current Mirror Based Energy Efficient Level Shifter
Abstract: AbstractLevel shifter plays a key role in modern electronics circuits in order to have higher efficiency. A circuit may contain parts that are working at two voltage levels. So a level shifter converts a subthreshold voltage level to a threshold voltage level. Multivoltage systems utilize the advantage of level shifters. Here, modified Wilson current mirror is used for obtaining level shifted output. Measurement results were demonstrated by using Cadence tools.Keywords: …
Published in Recent Trends in Electronics Communication Systems · Vol. 5, Issue 3, 2018 · pp. 32–37 Read article
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AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
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Development of a Generative AI Model for Early Detection and Prevention of Electrical Faults in Thermal Power Plants
Abstract: Electrical faults in thermal power plants can lead to severe equipment damage, production downtime, and safety hazards if not detected in advance. This study presents the development of a Generative Artificial Intelligence (GenAI) model for the early detection and prevention of electrical faults using predictive analytics. The proposed framework integrates Generative Adversarial Networks (GANs) with deep learning (CNN) and machine learning algorithms (Random Forest, Logistic Regression) to enhance data diversity, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 45–54 Read article
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Machine Learning for Soil Moisture Detection: Introduction, Approaches and Challenges
Abstract: The demand for agricultural is increasing day by day as the population of the world is increasing. So, it becomes necessary for us to increase the production of agricultural products. Traditional ways of agriculture cannot meet such requirements. Nowadays, machine learning based technologies are being used to develop models for agriculture. Machine learning-based applications are very fast and produce high-quality results. It includes recurrent neural networks (RNN), convolution neural networks …
Published in Research & Reviews : Journal of Agricultural Science and Technology · Vol. 14, Issue 3, 2025 · pp. 88–96 Read article
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Effects of Supply Voltage on 6T CNT Based Schmitt Trigger
Abstract: In this growing and developing age of technology, we are needed to improve our methods in order to get better results. So taking this into account, in electronic field, we want circuits with low propagation delay, leakage current and leakage power. So, we compared the model of Schmitt trigger using C-MOS (Complementary mosfet) and CNT (carbon nanotube) technology. We performed the variation in power supply (varied from 0.1to 1.2 V) …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 2, 2018 · pp. 19–24 Read article
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Modeling of Photovoltaic Module with MATLAB/Simulink
Abstract: Abstract The generation of electrical energy from sunlight is achieved with an interface called photovoltaic (PV) module. The PV module plays a vital role for extracting electrical energy from sunlight, thus its accuracy is most important parameter for consideration while developing mathematical model of PV module. For higher accuracy the single diode model with series and parallel resistors combination is used. For simulating this device in MATLAB/Simulink we need weather …
Published in Trends in Opto-electro & Optical Communication · Vol. 9, Issue 1, 2019 · pp. 38–45 Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing Read article
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An Efficient Method of Fault Analysis using Artificial Neural Network
Abstract: In the power system, there are many techniques to identify and classify the faults. So, it is utmost important to choose the suitable technique. In this paper, a novel technique based on ANN have been proposed. When abnormal conditions occur in the system, the purposed method identifies and classify the fault to protect the system from the faults and stop from the big hazards. Simulation of purposed Simulink model have …
Published in Current Trends in Signal Processing · Vol. 11, Issue 1, 2021 · pp. 9–25 Read article
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Modelling of An Electric Tractor Powertrain using MATLAB/Simulink
Abstract: Lithium-ion battery pack technology is the current trend in the automotive industry. For this study, the authors have selected NMC 18650 lithium-ion cells to design a battery pack for electric tractors and simulating the electric tractor powertrain model to gauge and size the battery pack configuration parameters. The tractor parameters have been selected by comparing with some Indian and Japanese electric tractors. The simulation has been carried out using MATLAB/Simulink …
Published in Journal of Experimental & Applied Mechanics · Vol. 12, Issue 2, 2021 · pp. 1–14 Read article
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Cluster Based Sleep Transistor Approach for Low Power 6T SRAM Cell
Abstract: The demand of high density VLSI circuits has been increasing as the size of ICs is becoming small day by day. It has been seen that, to reduce active power dissipation in memory, the supply voltage reduction is necessary. Lowering the supply voltage is one of the most straightforward and effective ways to suppress the energy consumption because reducing the supply voltage could reduce the dynamic power and leakage power …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 1, 2016 · pp. 41–48 Read article
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Role of Machine Learning Principles for Efficient Nuclear Fuel Management and Design
Abstract: The introduction of machine learning (ML) and evolutionary computation methods in addressing complex nuclear fuel management challenges has brought a significant positive change in the domain of nuclear fuel management. Key applications include fuel assembly design optimization, core loading pattern determination, burnup calculation acceleration, fuel performance prediction, and spent fuel characterization. The analysis reveals significant improvements in computational efficiency, prediction accuracy, and optimization capabilities when ML techniques are properly integrated …
Published in Journal of Nuclear Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 22–33 Read article