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155 articles for “Very Large Scale Integrated.”
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Analysis and Characterization of Circuits for Leakage Power Reduction at Sub-50 nm in CMOS Circuits
Abstract: This paper analyzes various techniques to decrease leakage power in complementary metal oxide semiconductor (CMOS) very large scale integration (VLSI) circuits, because due to continuous scaling of CMOS technology there is improvement in speed of semiconductor devices and the side effect of this scaling is leakage power. With the development of technology in CMOS VLSI Circuit, length of transistors has been reduced and speed of operation is increasing simultaneously. As …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 2, 2022 · pp. 11–22 Read article
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Implementation of FIR Filter with Reverse Converter based RNS Kogge–Stone Adder
Abstract: AbstractLow power very large scale integration (VLSI) circuits are pertinent for designing of steep overall performance and adjustable devices. In current technology VLSI plays a vital role to reduce power consumption and delay. In analog to digital converter process, adder plays a crucial role. The authority of nonviolent issue is increasing regularly because of changing that a way, packaging and cooling cost, transportable route of motion and reliability. This freebie …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 2, 2018 · pp. 34–43 Read article
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Ultra Low-Power 9-Transistor Flip-Flop Design
Abstract: AbstractThe use of very large scale integration technology in high performance computing, wireless communication, consumer electronics has been rising at a very fast rate. The challenge for VLSI technology is mainly in leakage power consumption. Flip-Flops (FFs) are the basic storage elements used extensively in digital system designs. It accounts for 20%–45% of the total system power and may considerably impact the chip area. In this paper, an ultra-low-power true …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 3, 2018 · pp. 27–32 Read article
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An Efficient RNS Based Sparse Kogge Stone Parallel Pre-fix Adder with Filter
Abstract: AbstractLow power very large-scale integration (VLSI) circuits are important for designing of high performance and portable devices. Along with that the high speed, small area and low cost are also the main considerations of VLSI circuits. The importance of low power is increasing day by day because of changing trend, packaging and cooling cost, portable system and reliability. This paper presents the design of Digital FIR filter using reverse converter …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 1, 2018 · pp. 43–51 Read article
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Numerical Simulation and Modeling of Self Heating in SOI MOSFET
Abstract: Abstract As the device size has been reduced the temperature increment of high-performance very large scale integrations (VLSIs) becomes a major issue. The self-heating effect and non-uniform power distribution in VLSIs, affect the performance of device. In this paper numerical simulation of self heating in SOI MOSFET has been performed. Poisson's equation, continuity equation, energy balance equation and heat flow equations have been solved self consistently using finite element method …
Published in Journal of Semiconductor Devices and Circuits · Vol. 5, Issue 3, 2018 · pp. 18–23 Read article
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Methodology of Standard Cell Library Design in .LIB Format
Abstract: The importance of standard cell library design methodology is growing with very-large-scale integration (VLSI) technology advancement due to its usage in VLSI EDA synthesis flows. In this paper, to best of our knowledge and information in any published literature no systematic method of standard cell and creating appropriate co-laterals. In this paper the standard cell design methodology, layout topology, methodology for creating characterized timing table has been developed using 250 …
Published in Journal of VLSI Design Tools and Technology · Vol. 4, Issue 1, 2014 · pp. 30–38 Read article
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Challenges Beyond 100 nm MOS Devices
Abstract: MOS devices have been aggressively scaled down in research and in the production in last few years. Sub-100 nm feature size MOS circuits have been used for many. However, many serious limitations and problems emerged with such a small geometry MOSFETs are used to realize very large-scale integrated circuits. Commercial 45 nm technology node, has much higher production cost and it is one of the greatest concern for scaling down …
Published in Journal of VLSI Design Tools and Technology · Vol. 6, Issue 2, 2016 · pp. 1–4 Read article
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Designing and Analysis of a Negative Bias Temperature Instability Sensing Circuit
Abstract: Scale down the size of devices introduce the effect of negative bias temperature instability (NBTI), positive bias temperature instability (PBTI), and hot carrier injection (HCI) in very-large-scale integration (VLSI) chip design and the major concern is to minimize these effects to a nominal value. In the paper, authors focus in minimization of NBTI effect and develop a noble degradation monitoring sensor circuit named SCHIMOS. A comparison is stated between an …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 8, Issue 1, 2020 · pp. 6–11 Read article
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Large-Scale Green Hydrogen Storage and Transportation: Advancements and Challenges for Sustainable Energy Integration
Abstract: The transition from non-renewable energy sources to renewable energy sources is a significant step in the direction of a sustainable future. Hydrogen is acknowledged as a great renewable energy source, which may help overcome the energy intermittency challenges. Hydrogen must have convenient storage and transportation to become a green hydrogen, i.e., greenhouse gas emission-free energy carrier. Large-scale green hydrogen storage and transportation are pivotal for the effective integration of renewable …
Published in Emerging Trends in Chemical Engineering · Vol. 11, Issue 3, 2024 Read article
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The Integration of Machine Learning in VLSI IC Design
Abstract: It represents the first use of AI in the domain of integrating circuits, which has been impacted by it. The conventional VLSI design process that is now in use is replaced by this technology. The laborious manual concepts created by people have been replaced with automated design innovations. This development would trigger a profound change in the fields of AI education and hardware computation. With the introduction of contemporary chips, …
Published in Trends in Machine design · Vol. 11, Issue 2, 2024 · pp. 1–8 Read article
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Modelling and Control of Grid-Connected PV–Battery Hybrid System Using Dynamic Voltage Restorer for Enhanced Power Quality
Abstract: The integration of large-scale photovoltaic (PV) systems into modern power grids introduces significant challenges in maintaining power quality, including voltage sags, swells, and harmonics. To address these issues, this study presents a comprehensive modelling and control framework for a grid-connected PV–Battery hybrid system equipped with a Dynamic Voltage Restorer (DVR). The PV array is modelled using detailed mathematical equations, while the DC–DC converter incorporates advanced Maximum Power Point Tracking (MPPT) …
Published in International Journal of Electrical Power and Machine Systems · Vol. 3, Issue 2, 2025 · pp. 43–58 Read article
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AI – Driven Smart Laboratory for Synthetic Organic Chemistry – A Literature Review
Abstract: The traditional chemistry laboratory is often subjective, time consuming and skill intensive that may lead to inconsistencies in the desired results. The advent of Artificial Intelligence (AI) and its speedy incorporation into the field of chemistry is transforming traditional synthetic laboratories into intelligent, automated systems that combine hardware, software and AI into a unified framework. This paper presents a comprehensive overview of AI – driven laboratory setup for organic synthesis, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Artificial Intelligence in Healthcare for Implants and Tissue Regeneration: Advances, Challenges, and Future Directions
Abstract: Artificial intelligence (AI) has been a revolutionary influence in contemporary healthcare, especially in implant design, biomaterials research, and tissue regeneration. In regenerative medicine, AI facilitates predictive modeling, optimization, and decision-making via the analysis of intricate biological, material, and clinical information. This study analyzes current research on AI applications in implant technologies and tissue regeneration, specifically addressing scaffold engineering, biomaterial characterisation, stem cell and gene treatments, smart biomaterials, and implant planning. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A study on Green Hydrogen in Power Sector
Abstract: In the global shift to a sustainable and decarbonized power sector, green hydrogen produced by electrolyzing water using renewable energy sources like solar, wind, and hydropower has become a crucial option. As nations intensify efforts to meet climate targets and reduce reliance on fossil fuels, green hydrogen offers a versatile energy carrier capable of addressing key challenges including energy storage, grid balancing, and deep decarbonization of hard-to-abate sectors. This paper …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 16, Issue 1, 2026 · pp. 14–21 Read article
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Enhancing Mechanical and Durability Properties of Coconut Shell Concrete Using Fly Ash
Abstract: The increasing demand for sustainable and lightweight construction materials has driven research into alternative aggregates for concrete production. This study investigates the mechanical and durability properties of coconut shell (CS) concrete with varying percentages of fly ash replacement. The research evaluates compressive strength, split tensile strength, water absorption, and workability to determine the feasibility of CS concrete as a structural material. Experimental findings indicate that incorporating 10% fly ash (CSF10 …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 19–24 Read article
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Smart Material–Based Energy Conversion and Storage Solutions in Industrial Engineering Systems
Abstract: A revolutionary step for attaining energy-efficient, sustainable, and intelligent industrial processes is the use of smart materials with industrial engineering systems. Advanced approaches to energy harvesting, conversion, and storage in industrial settings are made possible via smart materials, which are distinguished by their capacity to sense and react dynamically to mechanical, thermal, electrical, and external cues. These materials enable accurate energy recovery from vibrations in machinery, operational loads, waste heat, …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 33–38 Read article
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Leveraging Deep Learning and Cloud Computing for Water Usage Optimization in Agriculture: A Study
Abstract: Water scarcity and inefficient irrigation practices are significant challenges in modern agriculture. This research investigates how deep learning and cloud computing can be combined to enhance water efficiency in agricultural practices. Leveraging advancements in deep learning and cloud computing, researchers have developed innovative solutions for optimizing water usage. This review examines the state-of-the-art methodologies, technologies, and applications in smart irrigation systems. It explores how deep learning models and cloud platforms …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 83–91 Read article
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Multi-Scale Analysis of Polymer Based Energy Storage Systems for High Performance Battery Applications
Abstract: The energy storage systems based on polymers are becoming promising materials for the next generation of high performance batteries because of their excellent mechanical flexibility, improved safety, and favorable electrochemical properties. Even with computational tools in Python, polymer-based energy storage systems remain plagued by poor ionic conductivity, complicated electrochemical reactions and potential thermal runaway. Therefore, a multi-scale model is proposed to improve battery performance, thermal stability, reliability, and large-scale deployment …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1035–1048 Read article
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Swarm Intelligence in Software Engineering: A Systematic Review of Crowd-Based Development Models
Abstract: The crowd-based software production model has emerged as a transformative paradigm, leveraging global collaboration, decentralized governance, and artificial intelligence (AI)-driven automation to develop software efficiently. Traditional software development models, characterized by centralized control and in-house teams, are increasingly giving way to distributed, community-driven efforts. Key advancements such as blockchain-based decentralized autonomous organizations (DAOs), AI-assisted coding and debugging, and edge computing applications are reshaping the landscape of software engineering. DAOs provide …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 12, Issue 2, 2025 · pp. 01–11 Read article
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A Mathematical Perspective on Recent Cloud-Computing Trends for Scalable and Secure Social-Media Platforms
Abstract: Cloud computing underpins modern social-media platforms by providing elastic compute, storage, and data-processing pipelines capable of absorbing highly bursty workloads. This paper surveys recent cloud-native trends—serverless and event-driven design, container orchestration, edge/CDN offload, streaming analytics, and privacy-enhancing security controls—and formalizes their impact through a compact mathematical model. We express workload volatility using arrival-rate functions, use queueing-based capacity sizing to derive auto-scaling rules, and formulate an optimization objective that balances cost …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 35–40 Read article