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1548 articles for “AC drive”
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Crop Metabolism: A Biochemical Perspective on the Synthesis of Key Biomolecules and Structural Adaptations
Abstract: Crop metabolism involves intricate biochemical pathways that govern the biosynthesis of essential biomolecules, ensuring growth, development, and adaptability in various environmental conditions. Key processes include the synthesis of nucleic acids, amino acids, proteins, carbohydrates, organic acids, lipids, and natural products, each playing vital roles in maintaining cellular homeostasis. Nucleic acids drive genetic information storage and transfer, while amino acids and proteins form the backbone of enzymatic and structural cellular functions. …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 1, 2025 · pp. 26–31 Read article
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Distancing Hazards on the Road, Statistically
Abstract: hp 12.00 Normal 0 false false false EN-GB X-NONE X-NONE Road accidents contribute 36.2% to all unnatural accidental deaths in India. Despite the fact that India supports the largest road network in the world with an estimate of over 2.5 million kilometers of roads, roads are still termed as one of the infrastructural bottlenecks to a country on the move. Whether it is because of lack of quantity or quality, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 2, Issue 2, 2012 · pp. 1–12 Read article
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FDTD-based Time Domain Analysis of CMOS Gate Driven Interconnects
Abstract: Accurate time domain analysis of CMOS gate driven interconnects is important for the design and analysis of high performance VLSI systems. Conventionally, CMOS driver is approximated as a constant resistance instead of non-linear and time-varying MOS resistance, which causes inaccurate modeling of CMOS driver. This paper presents a new method for FDTD-based transient analysis of CMOS gate driven interconnect line using a generalized model. The generalized model of CMOS inverter …
Published in Journal of Electronic Design Technology · Vol. 5, Issue 1, 2014 · pp. 16–21 Read article
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Modelling and finite element analysis of thermo acoustic refrigerator
Abstract: In this work, the standard modified thermo-acoustic refrigerator (TAR) is created. It has a stack, heat exchanger, thermocouple, resonator tube, and an acoustic driver (loudspeaker). The effects of a few design factors were investigated for a thermo-acoustic refrigerator system, including wave patterns, frequency, and heat exchanger. It was discovered that a sine wave pattern produced better cooling results than the other wave patterns examined. The heat exchanger's addition greatly increases …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 9, Issue 3, 2022 · pp. 31–46 Read article
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Personal Assistant and Home Security Robot
Abstract: AbstractPersonal assistant and home security system increases human work efficiency and comfort. A prototype personal assistant and home security robot has been designed and implemented in this project. It also works with Google and functions as an assistant. The main goal is to develop a system for Face Detection and Google Assistant. Face Detection and Google Assistant system are developed on Raspberry pi microcontroller by using python language. Image processing …
Published in Journal of Electronic Design Technology · Vol. 9, Issue 3, 2018 · pp. 30–35 Read article
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Performance Analysis of Induction Motor using DTC Technique
Abstract: AbstractDirect Torque Control is a control method used for high-performance torque control in AC drive systems. The standard DTC drive includes a couple of hysteresis comparators, a flux and torque estimator and a selection table for voltage vectors. Torque and flux are governed simultaneously by implementing appropriate voltage vectors, and de-coupling control of torque and flux can be accomplished by restricting these amounts within their hysteresis bands. The DTC requires …
Published in Journal of Instrumentation Technology & Innovations · Vol. 9, Issue 2, 2019 · pp. 11–18 Read article
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Speed Control of An Inverter Fed Three-Phase Induction Motor Using IP Controller Considering Core Loss and Stray Load Loss
Abstract: Consideration of core losses and stray load losses to design a controller of an inverter fed induction motor are affected to the flux and torque decoupling strategy adversely. As a consequence, the detuning of field-oriented control (FOC) is required. The detuning strategies have been developed in some literatures. But the implementation of detuning becomes difficult because of higher order expression. In general, the controlling and estimation of AC drives are …
Published in Trends in Electrical Engineering · Vol. 5, Issue 1, 2015 · pp. 28–35 Read article
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The Vital Deployment: The Praxis of Aggregators in Electronic Resource Environment
Abstract: This article examines and find out the usage of intermediary role of aggregators in the electronic environment. The authors emphasized, aggregators are largely interested to reduce the gap of customers’ needs. Choosing task they helped new services, new authentication system, license complicance, new web-based services, reassurance about acquisition related problems, pay-per-view (PPV) systems, open access repositories, etc. Aggregators are now able to focus on refining services, knowledge base and cloud-based …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 7, Issue 3, 2017 · pp. 36–40 Read article
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An Accuracy Improvement in Facial Verification through Siamese Neural Networks
Abstract: Due to the ever-growing number of digital photos on the Internet, the task of automatically analysing images to extract semantic content has become quite important in recent years. In order to successfully organize the photographs, image indexing and image retrieval strategies need top-notch, effective image analysis and pattern recognition algorithms that can extract relevant semantic data. Face recognition plays a critical role in a variety of real-world applications, including AI-driven …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 2, 2023 · pp. 1–9 Read article
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Harmonics Analysis of Single Phase VSI with 5-level and 7-level Inverter
Abstract: Abstract: The conventional two-level inverter is most commonly used for AC drive systems. The inverter produces harmonics, which will cause heating of the power electronic devices as well as load and deteriorate the life of it. Thus, anyhow harmonics should be suppressed or removed, the most common or well-known method to filter out harmonics are introduction of various filters between inverter and load according to requirements. The filters are mainly …
Published in Recent Trends in Electronics Communication Systems · Vol. 6, Issue 1, 2019 · pp. 16–23 Read article
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Effective Project Management Through Six Sigma
Abstract: Six Sigma’s credibility as process and quality improvement technique is quiet established in manufacturing and service industries as this phenomenon is mature and seasoned in these industries. However, it is a new concept in the field of disaster management. This paper endeavors to set a path way for application of six sigma tools and methodologies by establishing the links to form the firm basis for their application and employment in …
Published in Journal of Offshore Structure and Technology · Vol. 2, Issue 1, 2015 · pp. 9–16 Read article
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A Lightweight Cost-Sensitive Explainable Ensemble Framework for Early Heart Disease Risk Prediction
Abstract: Cardiovascular disease is still one of the leading causes of death, and hence, the early prediction of risk is a very important task in preventive medicine. Although recent studies have shown encouraging results in the application of machine learning algorithms to the prediction of heart disease, it has been noticed that most of the algorithms are more concerned with accuracy-driven optimization than the concerns of safety and false negatives. In …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 · pp. 26–40 Read article
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Energy-efficient HVAC System with Decision Tree Classifier and Real-time SMS Notification
Abstract: This research paper explores the design and implementation of an energy-efficient heating, ventilation, and air conditioning (HVAC) system aimed at optimizing energy consumption and enhancing operational efficiency. The system incorporates high-efficiency components, including axial flow fans, motors, and intelligent variable frequency drives, achieving an overall system efficiency of up to 85%. By utilizing both static and dynamic pressures, the HVAC system operates more effectively under varying conditions compared to traditional …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 2, Issue 2, 2024 · pp. 29–34 Read article
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Green Energy and Intelligent Transportation: The Role of Composite Materials in Electric and Automotive Sectors
Abstract: The global transition toward sustainable mobility is accelerating, driven by mounting concerns over climate change, urban congestion, and the rapid development of green energy technologies. At the heart of this transformation lie intelligent transportation systems (ITS) and electric vehicles (EVs), which are collectively reshaping the future of modern transportation. Within this context, composite materials have emerged as key enablers, offering lightweight, durable, and energy-efficient solutions that enhance vehicle performance, range, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1096–1111 Read article
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Advances in Photocatalytic Catalysts for Wastewater Treatment
Abstract: Water is a fundamental component of the life support system and is indispensable for the survival of all living organisms. Life cannot exist without water, and human societies depend on it for drinking, agriculture, industry, and sanitation. Water resources are increasingly under pressure in terms of both quality and availability, largely due to rapid industrial development, expanding urban areas, and rising population levels. These human-driven activities have played a major …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 1, 2026 · pp. 44–56 Read article
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A Study on the Effects of Solar Energy: A Review
Abstract: AbstractThe quick increment in vitality utilization especially in the previous a very long while has raised feelings of trepidation of depleting the globe's stores of oil and different assets sooner rather than later. In the twenty first century, human call for brand spanking new energy assets is urgent, due to the fact the conventional fossil energy is unable to satisfy human desires, and the fossil resource will make pollution in …
Published in Journal of Thermal Engineering and Applications · Vol. 6, Issue 3, 2019 · pp. 16–21 Read article
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Intelligent Techniques for Smart Transportation System
Abstract: Road accident is the most unpleasant thing happen to road users. The drivers drive under tension on roads, and as a result they mostly lost the control of the vehicle especially during night and becomes the victim of road accidents. So Intelligent Transportation system is for providing safe driving, which will assist the driver to use an automobile in a safe way without getting into a crash situation. The majority …
Published in Journal of Operating Systems Development & Trends · Vol. 5, Issue 1, 2018 · pp. 27–33 Read article
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Predicting Dielectric Constants of Polymers Using Molecular Structural Descriptors and Explainable Machine Learning: A Data-Driven Approach
Abstract: Accurate prediction of dielectric constants in polymeric materials is fundamental to the rational design of advanced electronic components, energy storage capacitors, flexible substrates, and high-frequency communication circuits. Conventional approaches to identifying suitable polymer dielectrics rely on extensive experimental synthesis and characterisation, which are both time-consuming and resource-intensive. In this work, an explainable machine learning framework is developed to predict the dielectric constant of polymers directly from molecular structural descriptors derived …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 297–304 Read article
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Assistant for Safe Driving Using IOT
Abstract: Deadly road accidents can be reduced by understanding the psychological and mental state of drivers. Majority of road accident occurred during night driving due to drowsiness state of vehicle drivers. Safety driving assistant is an IOT based goggles which helps the user to drive safely.Whenever driver falls a sleep system detects it and then alerts him using creating unpleasant sound which can help the user to wake up. System is …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 2, 2020 · pp. 1–6 Read article