Search
316 articles for “Graphs”
-
Advanced Graph Editor and World Building Tool for Autonomous Vehicle Collision Avoidance Simulation
Abstract: The rise of autonomous vehicles (AVs) signifies a paradigm shift in transportation, but ensuring their safety is paramount. Collision avoidance stands out as a critical concern, demanding advanced simulation frameworks for rigorous testing. This paper introduces an integrated simulation framework explicitly designed for AV collision avoidance. It encompasses precise graph editing capabilities, realistic simulation environments, seamless neural network integration, and access to real-world data sources. By addressing these challenges, this …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 2, 2024 · pp. 16–24 Read article
-
Raman Spectroscopy for The Determination of Relative Crystallinity of Carbon Fibers
Abstract: Analogous to X-ray diffraction technique, the light scattering technique discovered by Sir CV Raman has great potential in quantifying the crystallinity of new materials, like the highly crystalline pitch based carbon fibers (NX90 and NX100). For comparison the Raman spectra of polyacrylonitrile based carbon fibers (T700SC) were also recorded. From the Raman spectral analysis, it was found that the pitch based carbon fibers exhibit far far higher degree of crystallinity …
Published in International Journal of Crystalline Materials · Vol. 1, Issue 1, 2024 · pp. 30–38 Read article
-
Tribological Assessment of Chemically Modified Jatropha Curcas Oil Developed by Addition of Graphite Nanoparticles for Biolubricant Applications
Abstract: As an alternative to petroleum-based lubricants, environmentally friendly bio-based lubricants are gaining popularity in the lubrication industry. A sustainable bio-based lubricant, Jatropha Curcas Oil (JCO) incorporates nanoparticles as additives. Nevertheless, this oil cannot be used directly as a biolubricant due to its low oxidative stability. By redesigning the oil's molecular structure through chemical modification, this restriction can be overcome. Epoxidation and oxirane ringopening were the two steps used in this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 47–58 Read article
-
Optimal PMU Placement in Power Systems Using Graph Theory and PSAT
Abstract: Phasor measurement units (PMUs) play a vital role in modern power systems by delivering synchronized, real-time measurements. These devices enhance system reliability by supporting functions such as monitoring, protection, and control. By accurately capturing voltage and current phasors across different locations, PMUs enable better situational awareness and more effective decision-making in grid operations and management. Determining the optimal location of PMUs is essential to ensure system observability, reduce installation costs, …
Published in Trends in Electrical Engineering · Vol. 15, Issue 2, 2025 · pp. 26–32 Read article
-
Graph Theoretic Analysis of Cyclodextrin Polymers
Abstract: Topological indicators in chemical graph theory are essential tools in cheminformatics, providing valuable insights into molecular structure and properties to make more accurate predictions about the behavior and efficacy of novel compounds in drug design. The macro molecules are correlated with certain derivatives. The derivatives are growing structures which depends on the cyclic structures. The Cyclodextrin is one of the cyclic structures which depends on the carbon atoms. The polymer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 997–1006 Read article
-
Emerging Trends in Data Structures for Modern Machine Learning Applications
Abstract: In the realm of machine learning, data structures play a pivotal role in facilitating efficient data manipulation, storage, and retrieval, thereby significantly impacting the performance and scalability of machine learning algorithms. In recent years, the field of machine learning has witnessed the emergence of novel data structures tailored to address scalability and efficiency challenges inherent in handling large-scale and high-dimensional data. This study provides a look at the data preprocessing, …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
-
Thermally Regulated Polymer-PCM Composites for Efficient Solar Energy Harvesting and Storage
Abstract: This study investigates the development of high-performance; shape-stabilized polymer composites infused with phase change materials (PCMs) for thermal energy storage in solar energy applications. Polyethylene glycol (PEG-6000) was employed as the core PCM due to its high latent heat and suitable melting point, while high-density polyethylene (HDPE) served as the supporting polymer matrix to provide structural stability. One of the primary limitations of PEG-based PCMs is their inherently low thermal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 153–163 Read article
-
Experimental Investigation on the Impact of Graphene on Fly Ash–Based Portland Pozzolana Cement Concrete
Abstract: This study presents a detailed investigation into the influence of incorporating phase change materials (PCMs) on the mechanical properties of cement mortar, with particular emphasis on compressive and flexural strength at various curing ages. Both organic and inorganic PCMs were utilized as partial replacements for cement at proportions of 5%, 10%, and 15% to evaluate their performance. The experimental results reveal a clear distinction in behavior between the two categories …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1865–1871 Read article
-
Graphene–Perovskite Hybrid Opto-Electronic Modulators for Ultra-Low Power Optical Communication
Abstract: This paper proposes a novel self-adaptive neuromorphic opto-electronic transceiver architecture designed to enhance the intelligence, adaptability, and efficiency of next-generation optical communication networks. The proposed system integrates neuromorphic computing principles with photonic signal processing to enable real-time learning, dynamic resource allocation, and autonomous compensation of channel impairments such as dispersion, nonlinearities, and noise. Unlike conventional transceivers, the developed model employs spiking neural networks embedded within opto-electronic circuits to mimic biological …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 1, 2026 · pp. 41–52 Read article
-
Polymer-Mediated Electron Transfer in Eco-Friendly P3HT–rGO Nanocomposites for Optoelectronic Applications
Abstract: Conducting polymer–graphene hybrid nanocomposites have emerged as promising materials for next-generation optoelectronic applications owing to their solution processability, tunable interfacial properties, and mechanical flexibility. Recent studies have highlighted the importance of graphene–polymer hybrid systems in enhancing charge transport pathways, exciton dissociation efficiency, and interfacial stability in organic optoelectronic devices. Despite these advantages, a key challenge remains the efficient production of individual graphene sheets through the reduction of graphene oxide using …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 413–423 Read article
-
Enhancing Power Conversion Efficiency in Tandem Solar Cells with Temporal Dynamic Graph Neural Network
Abstract: In modern homes, people want good comfort and also less electricity bill, so managing heating load and cooling load become very important. Heating Load (HL) and Cooling Load (CL) depend on many things like wall material, window size, sunlight, ventilation, and weather. Because of this many factors, calculation and optimization of HL and CL is little difficult and many time normal formulas give wrong or not perfect results. So in …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
-
Unravelling the Influence of Dimensions on the Thermoelectric Properties of AHEGNR
Abstract: The thermoelectric properties of hydrogenated edge semiconductor graphene nanoribbons (GNRs) have thus far been explored in detail. The effects of varying the sizes of zigzag hydrogenated edge graphene nanoribbons (ZHEGNRs) and armchair hydrogenated edge graphene nanoribbons (AHEGNRs) in terms of their properties were investigated in this study. This was achieved via the control of the graphene nanoribbon dimensions i.e., width and length by utilizing density functional theory in Quantum Espresso, …
Published in Journal of Nanoscience, NanoEngineering & Applications · Vol. 14, Issue 3, 2024 · pp. 45–51 Read article
-
Sustainable Carbon Materials for Catalysis, Energy Conversion, and Environmental Remediation
Abstract: Among the most ancient and adaptable materials used by humans, carbon finds use in a wide range of industries, including electronics, energy production, medicine, water purification, air filtration, and catalysis. Among them, activated carbon's highly developed microporous structure, remarkably large specific surface area, and adjustable surface functions have drawn a great deal of attention from both science and industry. Activated carbon materials have been widely used as molecular sieves, adsorbents …
Published in Emerging Trends in Chemical Engineering · Vol. 13, Issue 2, 2026 · pp. 47–52 Read article
-
Investigation of Mechanical Properties in Ductile Iron with Alloyed and Unalloyed at Time and Temperature on Austempering
Abstract: Due to the combination of its numerous excellent mechanical qualities, the flexible iron has been used more and more since its invention in 1948. To develop significantly improved characteristics, the unnecessary investigation is being done. The most recent development in the field of flexible iron, or SG iron, is Austempererd malleable iron. At four different temperatures, two different types of spheroidal graphite (SG) cast iron samples with varying copper weight …
Published in Journal of Polymer & Composites · Vol. 11, Issue 9, 2023 · pp. 1–9 Read article
-
Bioinspired Nanocomposite Bone Pins: Fabrication, Evaluation, and Suitability for Orthopedic Implant Applications
Abstract: Bone tissue engineering (BTE) requires scaffolds that mimic bone’s mineral–organic composition, offering mechanical strength, bioactivity, and degradation rates compatible with regeneration. Conventional metallic implants face corrosion and toxic ion release risks, while ceramics like hydroxyapatite (HAp) are bioactive but brittle. This study reports a multifunctional hybrid scaffold combining HAp for osteoconductivity; polycaprolactone (PCL) and collagen for flexibility and biocompatibility with sodium citrate for nanoparticle dispersion, ferrocene (Fc) for catalytic bioactivity; …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 526–540 Read article
-
Effects of Nano Additives on Performance and Emission Characteristics of CI Engine with Mahua Biodiesel and Diesel Blends as Fuel
Abstract: Due to growing environmental concerns and the imminent depletion of fossil fuels, the development of eco-friendly alternative fuels, such as biodiesel, is imperative. To improve the performance and emission properties of diesel engines utilizing biodiesel blends, the effective introduction of metallic and non-metallic nano-additives has been established. This research aimed to investigate the blending ratios of biodiesel (B0, B10, B20, and B40) in a compression ignition engine. Furthermore, the impact …
Published in Journal of Polymer & Composites · Vol. 11, Issue 13, 2023 · pp. 41–49 Read article
-
Algebraic Foundations of Generalized Signal Processing: A Unified Approach Across Domains
Abstract: Using the techniques of algebra, notably polynomial algebras and modules, algebraic signal processing (ASP) is a contemporary, abstract framework that generalizes conventional signal processing— including Fourier analysis, filtering, and convolution. The notion is to use algebraic structures to explain signals, systems, and transformations such that ideas may be understood and generalized across many domains, including time, space, graph, or group. A unifying theoretical framework called ASP generalizes classical signal processing …
Published in Current Trends in Signal Processing · Vol. 15, Issue 3, 2025 · pp. 33–44 Read article
-
A Review Paper on The Mathematical Foundations of Artificial Intelligence
Abstract: Artificial Intelligence (AI) is deeply rooted in various branches of mathematics, which provide the theoretical foundation and practical tools for developing intelligent systems. This paper explores the crucial role of mathematics in AI, focusing on key areas such as Linear Algebra, Probability and Statistics, Optimization Techniques, Calculus, Graph Theory, and Fourier and Wavelet Transforms. Linear Algebra is fundamental for representing and manipulating data, with applications in dimensionality reduction and neural …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 3, 2025 · pp. 7–14 Read article
-
Bonding Strength Characteristics of FRP Cylindrical Composites Under Hygrothermal Loading
Abstract: This study investigates the bonding strength characteristics and stress distribution patterns in fiber-reinforced polymer (FRP) cylindrical composites subjected to hygrothermal loading conditions. A four-phase cylindrical model incorporating AS-Graphite and S-Glass fibers with low modulus epoxy coating was analyzed under four distinct pressure loading conditions (25.984, 38.976, 77.953, and 155.906 MPa). Comprehensive stress analysis revealed significant variations in von-Mises stress, maximum principal stress, and minimum principal stress across fiber, coating, matrix, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 950–967 Read article
-
Exploration of Mechanical Characteristics and Microstructural Analysis of Copper Matrix Composites with Hybrid Reinforcements via Muffle Furnace Sintering
Abstract: Metal Matrix Composites (MMCs) have drawn a lot of interest in the area of innovative materials because of how widely they may be used. Due to their extraordinary qualities, such as high thermal conductivity, higher temperature endurance, improved corrosion resistance, and great weldability, copper matrix composites stand out among them. These qualities make them desirable and promising materials for uses including heat exchangers, automotive parts, and electrical components. In this …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 119–126 Read article