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1469 articles for “election”
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Research on Document Delivery Services in Libraries & Information Centers: A Glimpse
Abstract: This paper discusses Document Delivery Service and its uses in library as well as information center. Document delivery service (DDS) or document supply service “refers to the physical or electronic delivery of a document from a library collection to the residence or place of business of a library user, upon request.” Document delivery has always been heart of the services offered by libraries, publishers and other organizations to their users. …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 2, 2024 Read article
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Boron Nitride Unleashed: Revolutionary Insights into Its Superhard Phases and Machining Aptitude
Abstract: Exploration from the prehistoric era has proven steel to be a hard substance. According to research, the four main crystalline forms of boron nitride are graphitic, cubic, rhombohedral, and wurtzitic. Better hard materials for industrial processes have been provided by diamond, hard ceramic, and cermet in the process of developing the front of the script, which is descriptive. Turning, cutting, drilling, boring, and grinding of hard materials have been linked …
Published in Journal of Catalyst & Catalysis · Vol. 11, Issue 2, 2024 · pp. 17–24 Read article
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Clean Energy Policy and Some Implications for Low-income communities
Abstract: Undeniably, we are moving away from the fossil fuels-based economy due to the extreme climate and weather catastrophes our communities in different areas of the world are experiencing. The solution for future generations is the transition to clean energy. How does that look for overburdened communities? It is an equality and environmental justice concept to make it inexpensive and available to everyone. Policy makers are now creating bills and pushing …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 14, Issue 3, 2024 · pp. 15–21 Read article
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Innovative Porcelain Insulators: Prolonged Durability and Anti-Contamination Efficiency via Nano-TiO2 Photocatalyst Integration
Abstract: Porcelain has long been a critical material in high-voltage electrical insulation due to its exceptional mechanical, thermal, and dielectric properties. However, environmental contamination and material degradation over time pose significant challenges to its durability. This study investigates the integration of nano-sized titanium dioxide (TiO2) photocatalyst coatings on porcelain insulators to enhance their performance and prolong their operational lifespan. Local clay compositions were analyzed, and a comparative study of untreated and …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 2, 2024 · pp. 18–23 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
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Hydroenergen: A Piezoelectric-Based Raindrop Energy Harvesting System for Sustainable Power Generation and Monitoring
Abstract: The Raindrop Energy Conversion System represents a groundbreaking approach to renewable energy generation by harnessing the kinetic energy of raindrops and water flow from outlets of dams and reservoirs. By utilising innovative piezoelectric transducer plates, the system efficiently converts the impact energy of raindrops into electrical power. Robust insulation and sealing techniques ensure the durability and reliability of the transducer plates, making the system suitable for operation in diverse environmental …
Published in Trends in Electrical Engineering · Vol. 15, Issue 1, 2025 · pp. 35–43 Read article
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Effect of Radiation Dose, Dose Rate and Annealing Temperature on Edible Potato Starch by Spectroscopic Methods
Abstract: Potato starch (PS) is a favorite food choice in different forms. During its storage and applications the PS is exposed to different radiations. In the present study the authors attempt to compare radiation effects (gamma and Electron beam of same radiation dose) in PS by Electron spin resonance (ESR) and Fourier transform infrared (FTIR) methods. ESR spectra of gamma irradiated PS appeared to have resolved shapes than the electron beam …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 198–209 Read article
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VLSI – Power, Expansion and Versatility
Abstract: The evolution of Very Large-Scale Integration (VLSI) technology has significantly transformed the landscape of modern electronics, driving innovations across diverse industries. This article explores the key attributes of VLSI, focusing on its power, expansion, and versatility. VLSI's power lies in its ability to integrate thousands to millions of transistors on a single chip, enabling the development of high-performance, energy-efficient devices. The expansion of VLSI technology is exemplified by its application …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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Density Functional Theory (DFT): Understanding and Quantifying Molecular Structure of 2-D Materials
Abstract: Density Functional Theory (DFT) has emerged as a cornerstone in computational chemistry and materials science, offering a powerful framework for predicting electronic structures and properties of atoms, molecules, and solids. By focusing on electron density rather than wave functions, DFT simplifies the many-body problem through approximations like the local density approximation (LDA) and generalized-gradient approximations (GGAs). The Hohenberg-Kohn theorems establish the theoretical foundation, proving that ground-state properties are uniquely determined …
Published in Journal of Microelectronics and Solid State Devices · Vol. 12, Issue 2, 2025 · pp. 33–40 Read article
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Intelligent Design Approaches in Microwave Engineering Using Machine Learning Techniques
Abstract: In microwave engineering, machine learning (ML) has become a potent technology allowing quicker design cycles, improved modelling accuracy, and automatic optimisation of complicated systems. Recent developments in the use of ML methods to microwave components and systems, including antennas, filters, and high-frequency circuits, are summarised in this study. In the framework of electromagnetic simulation, surrogate modelling, and parameter extraction, supervised and unsupervised learning algorithms are addressed. Moreover, the study looked …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 2, 2025 · pp. 31–38 Read article
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Support Vector Machine Inspired Load Forecasting of a State University in Haryana
Abstract: Estimating the possible environmental impact and determining probable capital requirements are made easier with a solid grasp of electricity demand. Beginning in the middle of the 20th century, demand forecasting for electric power networks was studied theoretically. Prior to that, the study of demand forecasting had not developed because of the small scale of power networks. With the use of statistical prediction techniques, plans for the electric power industry have …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 33–40 Read article
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AI-Assisted Defect Detection in Polymer Composite Insulators Using an Optimised Ensemble Deep Learning Framework for Structural Health Monitoring
Abstract: Polymer composite insulators, particularly those made from silicone rubber and epoxy resins, are increasingly adopted in high-voltage transmission systems due to their superior electrical insulation, lightweight design, hydrophobicity, and environmental durability. Despite their advantages, these materials are susceptible to surface degradation, mechanical cracking, and flashover under prolonged exposure to environmental pollutants, thermal stress, and electrical aging. Accurate, real-time condition assessment of these composite insulators is critical for ensuring operational safety, …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 253–261 Read article
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Opportunities and Challenges for Improving the Development of Sustainable Modes of Transportation in India – E- Highway Buses
Abstract: The Indian transportation sector, while contributing significantly to economic growth, also plays a major role in air pollution and greenhouse gas emissions. These emissions have adverse effects on public health and worsen climate change, necessitating a shift towards sustainable transportation solutions. Electric buses have shown promise as an alternative to diesel buses, but their limited range poses a challenge for long-distance routes due to battery technology. This study investigates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 17–24 Read article
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Carbon-Based Supercapacitors Evolutionizing EVs
Abstract: The relentless pursuit of efficiency in transportation, particularly in electric and hybrid vehicles, hinges on sophisticated energy management systems. Regenerative braking, a technology that offers a significant opportunity for improving fuel economy and extending battery life. However, the effectiveness of regenerative braking is often hampered by limitations in energy storage systems. Traditional batteries, while excellent for sustained energy delivery, struggle with the rapid charge and discharge rates required by aggressive …
Published in Journal of Materials & Metallurgical Engineering · Vol. 15, Issue 3, 2025 · pp. 66–76 Read article
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MHD-Assisted Flow Regulation of Viscoelastic Polymer Fluids for Industrial Cooling and Composite Fabrication with Isotherml Plates
Abstract: This study investigates the magnetohydrodynamic (MHD) regulation of viscoelastic polymer fluid flow over a permeable plate, emphasizing its relevance to industrial cooling and composite fabrication. An incompressible, electrically conducting viscoelastic fluid is analyzed under a transverse magnetic field with Hall and ion-slip effects to capture electromagnetic alterations in polymer transport. The governing non-dimensional equations for momentum, temperature, and concentration are solved analytically using the perturbation method. The results show that …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 851–866 Read article
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Enhance Thermal and Conductive Properties through Graph Neural Network-Based Machine Learning-Driven Advanced Polymer Material Design
Abstract: Advanced polymer materials are widely used in modern engineering and manufacturing because of their lightweight nature, flexibility, durability, and adaptability to different applications. However, designing polymer materials with enhanced thermal and electrical properties remains a challenging task. The performance of polymers is influenced by a complex combination of molecular structures, filler materials, processing parameters, and nanoscale interactions. Conventional optimization methods often require extensive experimental trials and computational resources, making it …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 Read article
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Olfactory Intelligence in Bio-Hybrid UAVs: Integrating Living Lepidoptera Sensors for High-Precision Environmental Monitoring
Abstract: Autonomous aerial systems still face major challenges when attempting to locate airborne volatile organic compounds because many conventional gas sensors react slowly and cannot reliably follow turbulent chemical plumes. To address this limitation, a bio-hybrid sensing approach was explored using the antenna of the silkworm moth, Bombyx mori, as a natural chemical detector. The antenna was connected to an Electroantennogram (EAG) system that converts biological nerve signals into digital signals …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 2, 2026 Read article
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Self-Powered Piezoelectric Nano-Polymer Networks with Embedded Wireless Nodes for Distributed IoT Sensor Platforms
Abstract: Self-powered sensing systems are emerging as a promising solution for next-generation distributed Internet of Things (IoT) platforms, where lightweight, flexible, and low-maintenance devices are required for continuous monitoring. In this work, a self-powered piezoelectric nano-polymer network based on poly-vinylidene fluoride (PVDF) reinforced with BaTiO₃ nanoparticles and multiwalled carbon nanotubes (MWCNTs) was developed for flexible wireless sensing applications. The composite was designed to combine mechanical flexibility, enhanced piezoelectric response, and real-time …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Crystal Defects and Their Characterization in Modern Materials Science
Abstract: The physical and chemical properties of crystalline solids are fundamentally dictated by deviations from structural perfection, known as crystal defects. From the point-scale vacancies that drive diffusion to the planar boundaries that determine mechanical strength, defects serve as the primary "tuning knobs" in material design. This review provides a comprehensive examination of point, line, and planar defects, exploring their formation energetics and their role in plastic deformation via crystallographic slip. …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 15–19 Read article
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Alzheimer disorders diagnosis system design using machine learning for EEG signal
Abstract: The diagnosis of Alzheimer's disorders (AD), a prevalent neurological disorder, can created by utilising a range of therapeutic methods, including the electroencephalogram (EEG), which has been especially successful in the past. The objective for this study is to develop a computer-aided diagnosis tool which may recognize AD from EEG data. The EEG information was cleaned up with a band-pass elliptic digital filter to remove any interference or disruptions. The filtered …
Published in Journal of Control & Instrumentation Read article