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110 articles for “Hybrid device”
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Multifunctional Polymer Composites to Manufacture Assistive Device for Locomotor Disable Persons
Abstract: Among the synthetic fibers, the glass fibers are most popularly used in fiber for reinforced in engineering polymers matrix, as they offer excellent stiffness and strength, impact resistance and thermal stability at a low price to manufacture various assistive devices. The carbon fibers were applied as an alternative of glass fibers, where maximum stiffness is required. The aim of this article is, to give an overview of an experimental comparison …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 11, Issue 2, 2020 · pp. 30–38 Read article
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Radiopaque Polymer Composites for Improved Visualization of Interventional Devices
Abstract: Radiopaque polymer composites are increasingly important for improving the visualization of interventional medical devices under X-ray and fluoroscopic imaging while maintaining the flexibility, mechanical performance, and processability required for minimally invasive applications. This narrative review summarizes recent developments in radiopaque polymer composites, with emphasis on radiopaque filler selection, polymer–filler interactions, processing strategies, structure–property relationships, biocompatibility, and device applications. A focused literature search was conducted using PubMed, Scopus, Web of Science, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Environmental Impact Assessment of Ocean Energy Converters Using Quantum Machine Learning
Abstract: The accelerating deployment of ocean energy converters (OECs) across tidal, wave, osmotic, and thermal domains necessitates rigorous, data-intensive environmental impact assessment (EIA) frameworks capable of modelling multi-stressor marine ecosystems in real time. Classical machine learning approaches, while operationally mature, encounter scalability bottlenecks and feature correlation limitations when applied to the high-dimensional, non-linear datasets characteristic of offshore monitoring networks. This paper presents a comprehensive quantum machine learning (QML) framework for the …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 22–31 Read article
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IoT Protocol for Hybrid Hub-Node Topology
Abstract: AbstractCommunication between two or more smart devices can be established using various topologies and protocols like wifi, bluetooth, zigbee, LoRAWAN, Sigfox, etc. All these protocols have a limitation, no device can talk to other directly or in other words (M2M) or broadcast, it should always have a hub or gateway through which it can connect. This paper will provide an overview on the protocol that is engineered to allow devices …
Published in Current Trends in Information Technology · Vol. 7, Issue 3, 2017 · pp. 36–41 Read article
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A Profound Analysis on Complex Multiclass BCI Signals Classification by an EEG Device
Abstract: With a major shift in the technology paradigm today in the area of deep learning and artificial intelligence, one of its important applications today is found in brain-computer interface (BCI). Brain computer-interface, also known as neural control interface or mind-machine interface is a device that helps a user to interact with a computer using only his brain-activity, which is measured usually by Electroencephalography (EEG). The usage of such mechanism has …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 8, Issue 1, 2021 · pp. 22–44 Read article
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Power Quality Monitoring in Wind Solar Hybrid System
Abstract: With the development of new functionalities, solar and wind energy based hybrid systems are upcoming energy source with higher efficiency. Solar and wind energy being naturally available in abundance and non-polluting, is one of the most promising sources. Due to the development of modern power electronic devices, the power quality of wind solar hybrid system gets affected. Hence, due to the increasing usage of sensitive electronic equipments in wind solar …
Published in Journal of Power Electronics and Power Systems · Vol. 8, Issue 1, 2018 · pp. 16–23 Read article
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Towards Curbing Energy Poverty in Sub-Saharan Africa through The Use of Solar Bike: A Case of Koupela, Burkina-Faso
Abstract: AbstractThe rate of energy poverty in Africa particularly in Sub-Sahara region is quite alarming and appealing. This anomaly has greatly affected industrialization processes in this region. Not only has electricity access remain an acute issue in Burkina Faso almost two centuries, but in addition, the accelerated consumption of fossil fuels is leading to drastic consequences manifested in the form (s) of impaired development for humans and nature. To encourage greater …
Published in Journal of Thermal Engineering and Applications · Vol. 7, Issue 1, 2020 · pp. 9–14 Read article
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Advancing Conductive Ink Formulations for DIW with Graphene and Hybrid Nanostructures
Abstract: The development of solvent-based conductive inks for direct ink writing (DIW) has gained significant attention as a pathway toward flexible, wearable, and scalable electronic devices. This review critically examines conductive fillers, binders, solvent systems, and hybrid ink strategies reported in recent literature. Graphene and carbon nanotubes (CNTs) remain the most studied fillers due to their high intrinsic conductivity and unique dimensionality, but challenges such as restacking, bundling, and high viscosity …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 3, 2025 · pp. 36–49 Read article
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6000 inhibitors for aluminum and its alloys
Abstract: 6XXX series of aluminum alloys suffer from severe corrosion in acidic saline medium. These alloys are used for architectural, automobiles, aviation, household appliances, containers and electronic devices. Organic-inorganic sol-gel hybrid coatings are synthesized on these alloys. Rear earth inhibitors consider lanthanum inhibitors to be better than cerium inhibitors. These contexts discuss epoxy-silica-zirconia by sol-gel coatings, paddy residue, colchicines, rare earth coatings and ionic liquid for composites
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 6, Issue 2, 2019 · pp. 18–25 Read article
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A Comparative Review of Parallel Computing Techniques for High-Performance Computing
Abstract: High-Performance Computing (HPC) has become an essential technology for solving computationally intensive problems in scientific computing, engineering, artificial intelligence, weather forecasting, computational biology, financial modelling, and large-scale data analytics. The increasing complexity and heterogeneity of modern HPC systems have created a strong requirement for efficient parallel computing techniques and portable programming models. Several programming approaches, including Message Passing Interface (MPI), Open Multi-Processing (OpenMP), Compute Unified Device Architecture (CUDA), OpenACC, SYCL, …
Published in Recent Trends in Parallel Computing · Vol. 13, Issue 2, 2026 · pp. 16–26 Read article
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Simulation of a Renewable Energy Hybrid MicroHydro-Wind-PV-Solar System for Electric Generation
Abstract: This project is based on the development of a renewable energy hybrid tri-system made up of a photovoltaic device, a small wind turbine and a micro hydraulic turbine to generate electricity in places where these renewable energy resources are available. The system pursues the reduction of energy dependence on local electric network as well as the greenhouse gases emission. The project will be theoretically modelled and verified in a small …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 13, Issue 2, 2022 · pp. 37–50 Read article
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Enhancing Energy Storage and Optimization of Distributed Energy Resources Using a Hybrid SWOA-MSNN Approach
Abstract: The fast growth of Distributed Energy Resources (DERs) like solar photovoltaics, wind power, and energy storage devices requires enhanced optimization methods to manage energy efficiently and stabilize operations in contemporary smart grids. A significant challenge is the dynamic optimization of the energy storage systems (ESS) and the distribution of the energy among DERs in conditions of uncertainty of loads and generation. The conventional control and optimization methods generally find it …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Advancements in Thin Film Coatings for High-Efficiency Electronics and Communication Devices
Abstract: Thin film coatings have become integral to the development of high-efficiency electronics and communication devices, offering enhanced performance, miniaturization, and multifunctionality. This review delves into recent advancements in thin film technologies, focusing on their applications in semiconductors, optoelectronics, and communication systems. We explore various deposition techniques, including atomic layer deposition (ALD), chemical vapor deposition (CVD), and solution-based methods like spin coating, highlighting their impact on device efficiency and scalability. The …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 12, Issue 2, 2025 · pp. 19–24 Read article
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Hybrid Best-Response Algorithms for Mobile Computing Offloading: A Comprehensive Review
Abstract: The exponential growth of mobile applications with intensive computational requirements has necessitated innovative offloading strategies in mobile computing ecosystems. This comprehensive review examines hybrid best-response offloading algorithms integrated with game-theoretic optimization frameworks to address resource allocation challenges in mobile edge computing (MEC) environments. The proliferation of Internet of Things (IoT) devices and bandwidth-intensive applications has created unprecedented demands on mobile network infrastructure, compelling researchers to develop sophisticated offloading mechanisms that …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 2, 2025 · pp. 20–26 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Advancing IoT Connectivity through Very Large-Scale Integration of Semiconductor Technology
Abstract: The term "integrated circuit" as it is currently used typically refers to a monolithic IC, which is significantly different from an HIC in that the former is created by joining several components on a substrate, while the latter is created in a sequence of steps using a single wafer that is subsequently divided into chips. Hybrid chips are perfect for complicated applications in sectors like artificial intelligence (AI), the Internet …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 54–63 Read article
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An Empirical Analysis of Bluetooth Low Energy Reliability Challenges for Offline Messaging Applications
Abstract: In today's hyper-connected world, modern communication relies heavily on centralised internet infrastructure, making robust offline messaging solutions increasingly essential. A crucial vulnerability is revealed by network failures, natural disasters, and distant region deployments: communication breaks down when internet connectivity does. Due to its low power consumption and almost ubiquitous availability in contemporary smartphones, Bluetooth Low Energy (BLE) has become a promising candidate for offline, device-to-device communications. This study presents an …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 2, 2026 Read article
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Modeling of MHD Hybrid Nanofluid Flow with Radiation and Chemical Reaction Effects for Advanced Composite and Energy Applications
Abstract: Hybrid nanofluids reinforced with polymer-based matrices and nanoparticles have emerged as promising working fluids for advanced composite processing and thermal management systems. Their superior thermo-physical properties enable efficient cooling and energy transport, making them suitable for applications in polymer extrusion, composite curing, thermal insulation coatings, solar energy devices, electronic packaging, and nuclear system cooling. In this study, we investigate the heat and mass transfer behavior of magnetohydrodynamic (MHD) hybrid nanofluid …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 648–660 Read article
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Recent Developments in Solar Photovoltaics and Thermal Hybrid Technology
Abstract: The electrical performance of solar PV panel decreases with increase in the panel/module temperature which is cause of concern in the summer season. To decrease the effect on electrical performance due to increase in module temperature, heat is extracted from the module and used as thermal energy. Heat exchanger or heat extraction device is put on the rear surface of the PV panel and working fluid or coolant is flowed …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 6, Issue 1, 2015 · pp. 14–34 Read article
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A Hybrid Multi-Physics Ensemble Deep Learning Framework for Simultaneous Prediction of Thermal and Electrical Conductivity in Functional Polymer-Based Nanocomposites
Abstract: Polymer-based nanocomposites have become promising materials for applications in energy storage, flexible electronics, biomedical devices, aerospace components, and advanced engineering because of their tunable thermal and electrical properties. Reliable prediction of these properties is essential for accelerating material design; however, existing analytical models and conventional machine learning techniques often fail to represent the complex interactions among filler characteristics, polymer matrices, processing conditions, and interfacial transport phenomena. This work presents HMEP-Net, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1062–1082 Read article