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793 articles for “generator system”
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Spintronic Logic Circuits for Ultrafast Processing
Abstract: Spintronic logic has emerged as one of the most promising post-CMOS paradigms capable of addressing the speed, density, and energy challenges of deeply scaled silicon technologies. By relying on the intrinsic properties of electron spin and magnetization dynamics, spintronic devices—particularly Magnetic Tunnel Junctions (MTJs), Spin-Transfer Torque (STT), and Spin–Orbit Torque (SOT) structures—enable ultrafast, non-volatile data processing with significantly reduced energy consumption. Despite remarkable device-level advancements, circuit- level realization of high-speed, …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 2, 2025 · pp. 35–43 Read article
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Ferroelectric Materials for Next-Generation Non-Volatile Memory Applications
Abstract: The continuous scaling of conventional memory technologies is increasingly constrained by limitations in power consumption, speed, endurance, and integration density. As data-intensive applications such as artificial intelligence, Internet of Things, and edge computing demand fast and energy-efficient memory solutions, alternative non-volatile memory technologies have gained significant attention. Ferroelectric materials, characterized by their reversible spontaneous polarization, offer a promising pathway toward next-generation non-volatile memory due to their intrinsic non-volatility, low operating …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 1–9 Read article
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A Technical Blueprint for AI-Driven Localization in 6G Mobile Networks
Abstract: The advent of sixth-generation (6G) wireless systems promises unprecedented spatial resolution, ultra-low-latency, and pervasive connectivity, turning mobile localization from a peripheral service into a core enabler of immersive extended reality (XR), autonomous logistics, and digital twins. Yet, the sheer scale of dense terahertz (THz) deployments, the stochastic nature of reconfigurable intelligent surfaces (RIS), and the dynamic interference landscape render traditional model-based positioning techniques inadequate. This work investigates how artificial intelligence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 26–34 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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Autonomous 6G Physical Layer Architectures for Space-Air-Ground Integrated Networks
Abstract: The emergence of sixth generation (6G) wireless systems calls for a significant shift away from conventional deterministic communication models. As communication infrastructures evolve into Space- Air-Ground Integrated Networks (SAGIN), traditional physical layer (PHY) techniques struggle to operate effectively under the severe Doppler effects and long propagation delays associated with space environments. This paper examines the role of artificial intelligence embedded directly within the 6G transceiver architecture to enable ultra-reliable and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
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Generative AI for VR: Creating Physically Realistic Models
Abstract: Virtual Reality has revolutionized the traditional learning system by creating and interactive and engaging environment. However, its ability to show precise real-world experiences is limited due to lack of physical realism. This study investigates the potential of Generative Adversarial Network (GAN) in creating physically realistic 3D models. Proposed system incorporates deep learning techniques along with physics-based constraints to enhance model’s accuracy and usability. To achieve this, experiments were conducted on …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 14–22 Read article
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Automated Math Solver Assist with LLM RAG
Abstract: The challenges of solving complex mathematical problems often hinder efficiency in various scientific and engineering domains. This project proposes an innovative solution to these challenges by integrating automated math solvers with large language model (LLM) retrieval-augmented generation (RAG). The proposed system aims to streamline mathematical problem-solving processes, offering a robust and precise tool for real-time recognition, classification, and solution generation. This work provides a novel method of automating the solution …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 25–30 Read article
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Design and Analysis of Smart Solar EV Charging System
Abstract: The rising demand for electric vehicles (EVs) has generated an urgent requirement for sustainable and advanced charging systems. This study delineates the design and analysis of an intelligent solar EV charging system intended to reduce dependence on the grid and optimize the utilization of renewable energy. The system incorporates a solar photovoltaic (PV) array, battery energy storage, and an IoT-enabled smart controller to optimize power delivery. A Maximum Power Point …
Published in Journal of Power Electronics and Power Systems · Vol. 16, Issue 1, 2026 · pp. 06–15 Read article
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Solar-Powered Electric Vehicle Charging Station Enhanced by IoT Integration
Abstract: This project introduces a solar-powered electric vehicle (EV) charging station that incorporates Internet of Things (IoT) technology to enhance monitoring and operational contr While the integration of solar energy for renewable power generation is promising, the real-time solar voltage monitoring system raises questions about the overall efficiency and dependability of solar energy under variable environmental conditions. The automatic detection of a vehicle’s position over the wireless charging coil, eliminating manual …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 23–32 Read article
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Waste-Heat Recovery Systems for Sustainable Industrial Energy Management
Abstract: Industrial processes consume vast amounts of energy, often resulting in substantial heat losses to the environment. Waste-heat recovery (WHR) systems provide a viable solution to harness this otherwise lost thermal energy, improving overall energy efficiency, reducing operational costs, and contributing to sustainable industrial practices. This study investigates the design, implementation, and optimization of waste-heat recovery systems across various industrial sectors, including power generation, chemical processing, cement production, and steel manufacturing.The …
Published in Journal of Water Pollution & Purification Research · Vol. 13, Issue 1, 2026 · pp. 78–84 Read article
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Dual-Wavelength and Tunable Fiber Lasers for Microwave Photonic Applications
Abstract: Dual-wavelength and tunable fiber lasers have emerged as key enabling technologies for advanced microwave photonic (MWP) systems, offering high spectral purity, wide tunability, and enhanced stability. These laser sources play a critical role in generating and processing microwave and millimeter-wave signals through optical means, enabling low-loss transmission and immunity to electromagnetic interference. This review presents recent progress in the design and implementation of dual-wavelength and tunable fiber lasers, highlighting their …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 17–25 Read article
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Multimodal Generative AI for Vehicular Applications at Edge
Abstract: This paper explores how the rapid advancements in vehicular technology, including autonomous driving and intelligent transportation systems, have driven the need for real-time data processing and decision-making. Multimodal generative AI, when deployed at the edge, offers a powerful solution for vehicular applications by leveraging diverse data sources such as video, audio, sensor inputs, and environmental data. This paper explores the integration of multimodal generative AI with edge computing in vehicular …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 27–34 Read article
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Captive Energy Generation by Using Gym Equipment
Abstract: This project aims to create a sustainable energy source by converting exercise equipment into devices capable of generating electrical power. Traditionally, the mechanical energy produced during workouts is wasted as it dissipates within exercise machines. This project aims to capture and convert that otherwise unused energy into usable electricity. By integrating an alternator-based system into fitness equipment, the mechanical motion generated by users during exercise can be transformed into electrical …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 3, 2025 · pp. 21–26 Read article
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Piezoelectricity: For Power Generation
Abstract: Undeniably, piezoelectric materials are an exciting possibility for serving as a workable energy source; the question is whether technologies at this point in their development are ready for wide-scale application. This requires considering their value in the real context of modern urban environments and ecological conditions. A critical literature review has been carried out in this paper for the identification of the most successful piezoelectric generation techniques that have been …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 1–5 Read article
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Recent Advancements and Current Status of Hydrogen Fuel Cells: Materials, Systems, Applications, and Commercialization Prospects
Abstract: In the transportation, stationary electricity, and industrial sectors, hydrogen fuel cells have become a crucial clean-energy technology that can help achieve worldwide decarbonization. Significant progress has been made in catalyst design, membrane engineering, stack architecture, system optimization, and hydrogen generation pathways throughout the last ten years (2018–2025). Platinum group metal (PGM) loading has been significantly reduced, single-atom and transition-metal-nitrogen-carbon (M-N-C) catalysts for oxygen reduction have been developed (Wu et al., …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 6–24 Read article
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KSK Approach: An AI-Driven IoT Based Decision Making System’s Study
Abstract: Internet of Things (IoT) has promised a world of interrelated devices, generating vast amounts of data. Traditionally, IoT systems trusted on preprogrammed procedures and human intervention to process data and make decisions. This approach often struggled to hold the sheer size and density of IoT data, leading to inefficiencies and missed opportunities. However, the true budding of that data lies not simply in its collection, but in its interpretation and …
Published in Current Trends in Signal Processing · Vol. 15, Issue 2, 2025 · pp. 14–25 Read article
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Next-Generation Semiconductors: Making AI, 5G, and More Possible
Abstract: The current digital environment is being reshaped by next-generation semiconductors, which are powering revolutionary technologies including enhanced computing systems, 5G connectivity, and artificial intelligence. Next-generation semiconductors are at the heart of new technologies that are changing the world we live in today, such as artificial intelligence (AI), 5G communication, and advanced computer systems. As traditional silicon-based designs reach their limits in terms of size and performance, new materials, architectures, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 Read article
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Automatic Exam Seating Generator: SmartSeat
Abstract: The Automatic Exam Seating Arrangement System streamlines exam seating for institutions. It leverages algorithms to automate the tedious guide system. This avoids remaining minute rushes and confusion in locating the right venue. The device provides an application for admins and college students with examination timetables, timing and batch details to successfully control the seating process. Admins input parameters like student numbers and seating potential. Intelligent algorithms generate the greatest plans …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 2, Issue 1, 2024 · pp. 1–8 Read article
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ML-Driven Optimization Framework for the Analysis, Design, and Development of Efficient Wireless Power Transfer Systems for EV Charging
Abstract: The fast uptake of electric vehicles (EVs) has heightened the necessity of effective, dependable and convenient charging systems. The Wireless Power Transfer (WPT) systems can be taken as a potential solution as they allow charging cells without contact, without any risks, and without any overcrowding; the efficiency of the system is strongly influenced by the alignment of coils, the fluctuations of air-gaps, the conditions of the loads, and geometrical arrangements …
Published in International Journal of Manufacturing and Production Engineering · Vol. 4, Issue 1, 2026 · pp. 1–9 Read article
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Electromagnetic Propulsion Train for Future Transportation
Abstract: The Electromagnetic Propulsion Train project focuses on the development and analysis of a prototype system that achieves linear motion through the application of controlled electromagnetic forces. Unlike conventional railway systems that rely primarily on mechanical drive mechanisms such as wheels, axles, and traction motors, this project explores an alternative propulsion approach based on electromagnetic interaction. In this system, a sequence of electromagnets is strategically positioned along the track to generate …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 3, Issue 2, 2025 · pp. 25–31 Read article