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383 articles for “High- Performance Drives”
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Polymer Matrix-Based High-Performance Thermoplastic Composites for Automotive Applications: Design, Characterization, and Interface Behavior
Abstract: The study emphasizes the role of high-performance thermoplastic polymer matrices such as PEEK, PPS, and PA6, selected for their superior thermal stability, mechanical strength, and recyclability in automotive environments. The expanded usage of electric vehicles (EVs) and self-driving transportation creates a demand for advanced materials which are weight-conscious yet high in strength relative to their weight, impact-resistant yet still being environmentally friendly. This study aims to create and define fiber-reinforced …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 216–237 Read article
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Comprehensive Review on Brake Friction Materials
Abstract: Automobile manufacturers are currently dedicated to enhancing vehicle speeds for the purpose of saving travel time. However, achieving this objective necessitates the use of friction materials capable of handling high-speed braking. In this article, we will delve into the historical evolution of materials utilized for brake pads and drums. In the past, asbestos stood out as the most widely employed brake lining material due to its effectiveness. Unfortunately, its carcinogenic …
Published in Journal of Polymer & Composites · Vol. 11, Issue 8, 2023 · pp. 197–214 Read article
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Hybrid CMOS-SET Inverter Design for Improved Performance using Tied Body-backgate Technique
Abstract: Single-electron transistors (SETs) are an attractive candidate for future functional elements in LSIs, because of their low-power consumption and small size. Integration of current CMOS technology with the emerging SET devices is an effective approach for improving density of integration in VLSI chips and ensuring ultra low power dissipation along with the advantages of CMOS technology like high gain, current drive, speed and matured fabrication technology. This paper investigates hybrid …
Published in Journal of VLSI Design Tools and Technology · Vol. 5, Issue 1, 2015 · pp. 24–29 Read article
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Buck-Boost Chopper Control of Induction Motor Drive using Slip Power Recovery Scheme and LC Filter
Abstract: Industrial drive applications require rugged, low maintenance and simple constructed motors which are the features of induction motor. Speed control of SRIM can be accomplish by using either of the control technique i.e. rotor resistance control, inverter control & chopper control. This paper presents the improvements in the performance of SRIM drive offered by slip power recovery scheme using buck-boost chopper control technique with LC filter. The simulation model of …
Published in Trends in Electrical Engineering · Vol. 12, Issue 3, 2022 · pp. 42–59 Read article
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Application-Driven Rule-Based Framework for Lubrication Failure Modes in Industrial Systems
Abstract: Modern lubricants increasingly rely on polymer-based composites, integrating synthetic base oils, polymer thickeners and solid additives like MoS₂ and PTFE for high-performance applications. These formulations not only enhance thermal and mechanical stability but also enable low-friction operation across diverse industrial conditions. Lubrication-related failures represent a critical cause of unplanned downtime and reduced reliability in industrial machinery. This paper presents an application-driven, rule-based framework designed to assess and mitigate lubrication failure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 522–531 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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Remote Control Cars: A Study on Design, Mechanics, and User Experience
Abstract: The number of people who like driving remote-control cars has skyrocketed over time, and many of them are searching for high-performance cars that will give them thrilling experiences. Using a nitro-powered engine, the Nitro Remote Control Car Design and Fabrication project aims to develop a cutting-edge, powerful remote-controlled car with exhilarating performance and speed. The remote control car is designed to provide better customer experience and works well. Thanks to …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 1, 2024 · pp. 25–31 Read article
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Transforming IoT Connectivity Through VLSI Technology
Abstract: Device communication has been completely transformed by the emergence of the Internet of Things (IoT), and very large-scale integration (VLSI) has been essential to this change. The development of small, energy-efficient devices that are essential to IoT applications is made possible by VLSI technology, which allows thousands to millions of transistors to be integrated on a single chip. By enabling higher processing capabilities and seamless connectivity, VLSI not only enhances …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 2, 2024 · pp. 1–11 Read article
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Parallel Conwip for a High-mix Multi-stage Production System with the entrance of rework
Abstract: In a complex production environment, more than one type of pull systems is often used to regulate the processesof different products. In literature, performance studies appertaining to multiple pull systems co-existed in aproduction environment are rare. The present paper evaluates the performances of parallel CONWIP (PC)systems in a high-mix production system with the entrance of rework. The production comprises three stages ofshared-machine facilities. Reject parts produced by the first stage …
Published in Journal of Production Research & Management · Vol. 1, Issue 1-2-3, 2011 · pp. 21–44 Read article
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Time Domain Analysis in an On-chip High Speed RLCG Interconnection Network at 0.18 µm Technology
Abstract: In this model, the time domain waveform is evaluated for calculation of delay time, peak time, settling time, damping ratio and natural frequency for a second order RLCG interconnect network. It can also be used for multiple interconnect systems but for higher order systems it is ignored due to accurate analysis. The model is applied to a single resistance-inductance-capacitance-conductance model which can also be extended to multi-interconnect systems to analyze …
Published in Journal of VLSI Design Tools and Technology · Vol. 1, Issue 1-2-3, 2011 · pp. 57–67 Read article
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Interpretable Skin Cancer Detection via Optimized CNN Models for Smart Healthcare Solutions
Abstract: Skin cancer is a common and potentially life-threatening condition, highlighting the importance of reliable and efficient diagnostic techniques. Recently, convolutional neural networks (CNNs) have demonstrated significant potential in automating the classification of skin cancer using thermoscopic images. Despite these advancements, the lack of interpretability in these models poses a barrier to their widespread use in clinical settings. In this study, we propose an interpretable CNN architecture optimized for skin cancer …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 41–45 Read article
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Advances and Challenges in the Development of High-performance Silicon Carbide (SiC) Power Devices
Abstract: Due to its distinct features, silicon carbide (SiC), a wide-bandgap semiconductor material, has attracted a lot of attention lately. SiC has superior electrical characteristics compared to silicon, making it an attractive material for high-performance power electronic devices. SiC-based devices can operate at higher temperatures, higher voltages, and higher switching frequencies, which can result in increased power density and efficiency. Recent advances in SiC device technology have led to the development …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 3, 2022 · pp. 15–20 Read article
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Advances in Polymer-Modified Concrete using XAI
Abstract: Industry 4.0 technologies are being quickly adopted by the construction sector, opening new avenues for enduring operational and environmental issues. This sector looks at how explainable AI can forecast air and enhance the quality of building materials. XAI, AI, ML, and big data drive a new paradigm in polymeric material development. The effective XAI and ML-assisted design creates innovative, high-performance polymeric materials. It covers building a database and representing structures, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 133–144 Read article
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Smart Service Solutions AI: AI-driven Multimodal Search for Home Appliance Support
Abstract: The global home appliance services market is projected to reach USD 1,203.11 billion by 2032, driven by smart household appliances. Essential services like installations, maintenance, and repairs ensure optimal performance and longevity, leading to higher customer satisfaction and loyalty. The service station partner ecosystem is crucial for ongoing support and profitability. However, challenges such as identifying the right manuals, finding relevant parts, and providing accurate instructions must be addressed to …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 27–43 Read article
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AI-Powered IoT System for Early Detection and Monitoring of Livestock Health
Abstract: Protection of food production exists through livestock farming operations that advance economic global power. Continuous challenges to agricultural industry practices result in harmed animal health and enable disease spread as well as environmental threats to their welfare. Implementing current innovative solutions right away is necessary to solve these problems. The AI and IoT-based smart livestock health monitoring system functions as the fundamental development approach across this industry. The present integrated …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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The Convergence of AI and Composites - A Review Anchored in Patent Trends
Abstract: The integration of artificial intelligence (AI) and machine learning (ML) techniques is revolutionizing the design, analysis, and optimization of polymer (PC/FRP), metal (MC), and ceramic matrix composites (CC). Techniques such as artificial neural networks (ANN), deep learning (DL), genetic algorithms (GA), and physics-informed machine learning (PIML) are employed to enhance property estimation, process optimization, and predictive modeling. These AI-driven frameworks enable virtual testing, application-specific material design, and real-time decision-making, while …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 182–198 Read article
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Visual Analytics with Machine Learning for Data-Driven Investigations of Product State Transmission in Production System
Abstract: In recent years, the significance of effectiveness and productivity has grown. Furthermore, the industry has been able to improve production system performance thanks to advances in processing power and advanced analytics. A better understanding of intermediate product stages is therefore required to take the relevant measures. To highlight the importance of this field of study, a study on data-driven probabilistic ML algorithms and their real-time applications to smart energy systems …
Published in Journal of Computer Technology & Applications · Vol. 13, Issue 2, 2022 · pp. 1–7 Read article
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Investigation and Dependency Analysis of Silicon Film Thickness on Performance of Surrounding Gate MOSFET at Subthreshold Regime
Abstract: The characteristics of cylindrical gate all around MOSFET have been studied in terms of the dependence of various device performance metrics on silicon film thickness (Tsi). In this work, the effect of silicon film thickness on numerous performance metrics like threshold voltage (Vt), On current (Ion), subthreshold leakage current (Ioff), On-Off current ratio (Ion/Ioff) and DIBL of cylindrical GAA are comprehensively evaluated and analysed. It has been observed that cylindrical …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 2, 2018 · pp. 49–54 Read article
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Enhanced Diabetes Prediction: A Comparative Study of Machine Learning Models
Abstract: Excessively high blood glucose levels lead to diabetes, a condition that can be better managed with early detection, resulting in a longer life and improved health. Machine learning models are essential tools in diagnosing diabetes, especially when trained on appropriate and relevant datasets. In this study, a combination of ensemble methods and nine distinct machine learning algorithms were utilized to develop a predictive model for diabetes diagnosis based on a …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 1–10 Read article
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Isolated Bidirectional Flyback Converter in EV Charging and V2G Systems: A State-of-the-Art-Review
Abstract: The growing adoption of electric vehicles (EVs) and the potential of Vehicle-to-Grid (V2G) technology underscore the importance of efficient and reliable isolated bidirectional DC-DC converters in EV charging systems. The market for electric vehicles (EVs) is expanding at an exponential rate due to the worldwide trend towards sustainable transportation, with electric mobility emerging as a crucial way to lower carbon emissions and rely less on fossil fuels. This review examines …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 2, 2024 · pp. 23–32 Read article