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1985 articles for “High performance” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Speed Estimation of High-Speed Hysteresis Motor Based on Extended Kalman Filter
Abstract: High-speed hysteresis motors are used in special industries such as medical centrifuges and gyroscopes. In spite of that, they are synchronous motors in some situations they may work in asynchronous speed. So, for reliable performance of hysteresis motor, closed loop control strategies are employed. On this way, speed/position of rotor must be known. Due to difficulty of using the speed sensors in high-speed hysteresis motor drives, employing the speed estimation …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 1, 2016 · pp. 34–44 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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Carbon quantum dots (CQDs) and bioinspired photonic nanomaterials have emerged as promising multifunctional platforms for a wide range of applications in optoelectronics, nanomedicine, biosensing, fluorescence imaging, and photodynamic therapy. CQDs are nanoscale carbon-based materials characterized by unique optical and electronic properties, including size-dependent photoluminescence, high photostability, excellent water solubility, low cytotoxicity, and remarkable biocompatibility. These characteristics make them attractive alternatives to conventional semiconductor quantum dots for both technological and biomedical applications. Inspired by natural photonic systems such as photosynthetic light-harvesting complexes, rhodopsin-based photoreceptors, butterfly wings, and bioluminescent organisms, researchers have developed advanced nanostructures capable of efficient photon capture, energy transfer, and photoinduced charge separation. Recent advances in synthesis techniques, including hydrothermal, solvothermal, microwave-assisted, and green synthesis approaches, have enabled precise control over the size, surface chemistry, and optical properties of CQDs. Functionalization and heteroatom doping further enhance their photophysical performance and application versatility. In optoelectronics, CQDs have been incorporated into photodetectors, solar cells, light-emitting diodes, and flexible electronic devices due to their tunable emission characteristics and efficient charge transport properties. In the biomedical field, CQDs are increasingly utilized for targeted drug delivery, bioimaging, biosensing, and photodynamic therapy because of their excellent fluorescence behavior and biological compatibility. Furthermore, bioinspired photonic nanomaterials are being explored for artificial photosynthesis and sustainable energy conversion systems, where efficient light harvesting and electron transfer are critical. This review highlights recent developments in the synthesis, photophysical properties, and multifunctional applications of CQDs and related bioinspired photonic nanomaterials, while discussing current challenges and future opportunities for the development of intelligent nanophotonic and bioelectronic technologies.
Abstract: Carbon quantum dots (CQDs) and bioinspired photonic nanomaterials have emerged as promising multifunctional platforms for a wide range of applications in optoelectronics, nanomedicine, biosensing, fluorescence imaging, and photodynamic therapy. CQDs are nanoscale carbon-based materials characterized by unique optical and electronic properties, including size-dependent photoluminescence, high photostability, excellent water solubility, low cytotoxicity, and remarkable biocompatibility. These characteristics make them attractive alternatives to conventional semiconductor quantum dots for both technological and biomedical …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 16–24 Read article
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Design and Development of Lightweight Polymer Composite Manifold Using CF-ABS and GFRP for Aerodynamic Energy Recovery in Electric Vehicles
Abstract: Electric vehicles provide a number of advantages over conventional fuel vehicles due to their low to no emissions. High energy efficiency improves the driving performance of Electric vehicles. However, they have to face certain challenges such as the high purchase cost of batteries and lack of battery charging facilities. The major drawback of an Electric vehicle is to store sufficient energy to run the vehicle for a long time. This …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1186–1206 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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Aerodynamic Optimization of UAV Wings Using Machine Learning
Abstract: Unmanned Aerial Vehicles (UAVs) are increasingly deployed across defense, transportation, agriculture, and environmental monitoring, demanding improved aerodynamic efficiency to enhance endurance, stability, and payload capacity. Traditional aerodynamic optimization approaches, relying on computational fluid dynamics (CFD) simulations and wind tunnel experiments, are often time-consuming and computationally expensive. This study proposes a machine learning (ML)-driven framework for the aerodynamic optimization of UAV wing geometries, aiming to significantly reduce design cycles while improving …
Published in International Journal on Drones · Vol. 2, Issue 1, 2026 · pp. 1–7 Read article
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Performance Study in Modified DPSK, MZI Delay Mismatch at 40Gbps Fiber Dispersive Channel
Abstract: AbstractHigher data rate transmission is a desirable feature for the communication system in every era. As they have potentially higher fiber capacity, also have lower cost per bit. This paper presents performance investigation with partial differential phase shift keying and influence of MZI delay mismatch in the high data rate dispersive channels. Ideal fiber braggs grating is considered as fiber dispersive medium with different dispersion. Numerical simulation depicts that in …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 2, 2016 · pp. 18–23 Read article
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Optimization of Fuel Injection Parameters in LHR Engines Using Fish Oil Methyl Ester Blends for Enhanced Performance and Emission Reduction
Abstract: The need for alternative fuels has become increasingly critical due to the depletion of petroleum resources, growing automobile usage, and environmental concerns. Fish oil methyl ester, derived from fish oil, presents a promising alternative biodiesel, which can be produced from both edible and non-edible oils as well as animal fats. Diesel engines are valued for their efficiency, reliability, and durability, with performance and emissions being influenced significantly by factors such …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 18–35 Read article
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A Review of Electrical Conduction, Optical Sensing, and Semiconductor Device Innovations
Abstract: Electrical conduction and semiconductor device technologies form the backbone of modern electronic and sensing systems. This review presents a comprehensive analysis of conduction mechanisms across different materials, including conductors, semiconductors, and insulators, with particular emphasis on charge carrier behavior, resistivity, and energy band structures. The study highlights how variations in material properties and external conditions influence electrical performance and device efficiency. The paper further explores advancements in semiconductor devices, focusing …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 · pp. 10–18 Read article
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Analysis of an Extradosed Bridge with Single Plane Cable System
Abstract: The extradosed bridge is a bridge that combines elements of a cable-stayed bridge and a prestressed concrete box-girder bridge. This innovative design offers several advantages, including improved aesthetics, reduced construction costs, and enhanced durability. The extradosed cable system provides additional support to the bridge deck while maintaining a lower overall height compared to traditional cable-stayed bridges. This feature makes extradosed bridges particularly suitable for environments where height restrictions are a …
Published in Trends in Transport Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 25–31 Read article
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Impact of a Nurse-Led Work-Based Intervention on Job Performance and Job Satisfaction Among Nurses in Selected Hospitals in Erode
Abstract: Job satisfaction is a critical aspect of nurses’ professional lives, influencing patient safety, staff morale, productivity, performance, and overall quality of care. Higher levels of job satisfaction have been linked to improved patient outcomes. This study aimed to assess the level of job satisfaction among staff nurses before and after a nurse-led work-based intervention, evaluate the effectiveness of the intervention, and examine the association between posttest job satisfaction scores and …
Published in International Journal of Evidence Based Nursing And Practices · Vol. 4, Issue 1, 2026 · pp. 19–27 Read article
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Response Spectrum Analysis and Comparison of Seismic Parameters ofLow Rise, High Rise and Asymmetrical RC Structure with and Without Infill for Different Bay Dimensions
Abstract: The concrete block walls or brick masonry are widely used as partitions in world wide. Generally the effect of infill walls is not considered in the design process and istreated as non-structural components. The presence of infill walls has vital role in performance of building during earthquakes. Infill panels significantly increase stiffness and strength of the frames. This study provides the comparative study on summary of performance of low rise …
Published in Journal of Structural Engineering and Management · Vol. 7, Issue 1, 2020 · pp. 1–9 Read article
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Communication Pathways and Project Success: Analyzing Stakeholder Coordination Impacts on Construction Outcomes
Abstract: It is very critical to have effective communication and coordination among stakeholders for the successful delivery of the projects. Effective communication keeps stakeholders well-informed about project progress, promoting transparency, trust, and collaboration. Coordination ensures that responsibilities and resources are efficiently allocated, reducing the risk of misunderstandings and enhancing decision-making processes. Inadequate stakeholder engagement can lead to confusion, delays, rework, and the failure to meet key project milestones. The impact of …
Published in Journal of Construction Engineering, Technology & Management · Vol. 15, Issue 3, 2025 · pp. 104–126 Read article
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Multiphysics Optimization of Polymer–Metal Hybrid Electrode Geometry in Electrostatic Precipitators for Enhanced Particle Collection Efficiency
Abstract: Electrostatic precipitators (ESPs) remain one of the most effective technologies for controlling fine particulate emissions in industrial exhaust systems. However, their performance is strongly influenced by electrode geometry and material characteristics, which govern electric field distribution, corona stability, and particle migration behaviour. In this study, a comprehensive numerical investigation is carried out to optimize electrode geometry using a multiphysics modelling framework, while introducing a novel polymer–metal hybrid design to enhance …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 701–716 Read article
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Fabrication and Assessment of Tribological Performance of Nickel-Graphene-MXene Hybrid Nano-composites
Abstract: As industries such as aerospace, automotive, defence, and electronics demand materials with superior wear resistance, high strength, and thermal stability, traditional metals are reaching their performance limits. Hybrid nanocomposites offer a pathway to meet these stringent requirements. In this study, novel Nickel-Graphene-MXene hybrid nanocomposites were fabricated using a powder metallurgy route, incorporating varying weight percentages (up to 2 wt.%) of MXene and 1 wt.% graphene nanosheets into a nickel matrix …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 780–798 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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Experimental Investigation on Strength and Durability Properties of Slag Based Alkali Activated Concrete Incorporating Fly Ash
Abstract: To minimize carbon emissions during cement production and to resolve landfill issues arising from industrial waste, the adoption of alkali-activated concrete (AAC) incorporating various by-products from industry has become increasingly popular as environmentally friendly option to conventional concrete in the construction sector. This study focused on strength and durability of AAC by utilizing waste industrial by-products such as ground granulated blast furnace slag (GGBS) and fly ash (FA) at ambient …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 393–400 Read article
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Numerical Investigation of the Osmatic Flow Impact on the Load Recovery and Early Well Performance
Abstract: The complexity of shale system coupled with the mystery of low fracturing fluid recovery has puzzled many researchers. Field reports from hydraulic fracturing operations performed on shale formation have highlighted the low recovery of the fracturing fluid. The fate of the hydraulic fracturing fluid is still controversial issue. However, literature has attributed the low load recovery to either trapping into the natural or created micro-fracture or imbibition to the matrix. …
Published in Journal of Petroleum Engineering & Technology · Vol. 5, Issue 3, 2015 · pp. 52–64 Read article
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Analysis of Cascaded Multilevel Inverter Induction Motor Drives
Abstract: The goal of this thesis is to use harmonic analysis to learn more about the performance of various cascaded multilevel inverters. To handle the high power demands of large electric drives and utility applications, innovative power electronics converters are required. As a result, in high power and medium voltage conditions, multiple power converter structures have been offered as an option. A multilayer converter not only achieves high power ratings, but …
Published in Journal of Microwave Engineering and Technologies · Vol. 8, Issue 3, 2021 · pp. 22–42 Read article
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Role of Functional Programming Languages in Blockchain Applications
Abstract: Functional programming (FP) languages play an increasingly influential role in blockchain applications, offering features that address critical challenges such as security, scalability, and reliability. The inherent characteristics of FP—immutability, pure functions, statelessness, and concurrency support—align well with blockchain’s decentralized and deterministic structure, making FP languages a natural fit for developing secure and verifiable smart contracts. Languages like Haskell, OCaml, and Erlang have proven effective in minimizing code errors, enabling formal …
Published in Recent Trends in Programming languages · Vol. 11, Issue 3, 2024 · pp. 21–27 Read article