Search
1484 articles for “Performance Enhancement”
-
A Review of Recent Advancements in the Field of Friction Stir Welding of Dissimilar Joints Made of Aluminium and Magnesium
Abstract: Friction stir welding (FSW) stands at the forefront of welding technology, offering a promising avenue for joining dissimilar metals like aluminum and magnesium. These metals, renowned for their exceptional properties such as ductility, thermal conductivity, low density, and impressive weight-to-strength ratios, find wide utility across numerous industrial sectors. However, traditional fusion welding methods often struggle to effectively join aluminum and magnesium due to their disparate physical and chemical characteristics. FSW …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 134–142 Read article
-
Autonomous Scripting: The Future of AI-Enhanced Shell Programming for DevOps and Security
Abstract: The evolution of operating systems has seen a paradigm shift with the integration of artificial intelligence, quantum computing, and edge computing technologies. Autonomous scripting, driven by AI, is transforming DevOps workflows and security paradigms, enabling self-healing systems, predictive automation, and intelligent threat detection. This study explores the role of AI-enhanced shell programming in the automation landscape, discussing its implications for next-generation operating systems. It further delves into the integration of …
Published in Journal of Advances in Shell Programming · Vol. 12, Issue 1, 2025 · pp. 28–39 Read article
-
Marine Algal Microfiber and Agro-Waste Reinforced Crosslinked Polymer Composites for Sustainable Coastal Materials
Abstract: Crosslinked bio-polymer composites reinforced with marine algal microfibers and agro-waste fillers were fabricated and systematically characterized for sustainable coastal applications. Mechanical testing revealed that tensile strength increased from 18.5 MPa for neat polymer to 25.1 MPa at 20 wt.% reinforcement (~35% improvement), while the flexural modulus improved from 0.72 GPa to 1.02 GPa (~42% increase). Impact strength, however, decreased from 3.8 kJ/m² for neat polymer to 2.9 kJ/m² at 30 …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 210–223 Read article
-
Optimizing Urban Mobility with AI-Based Traffic Management
Abstract: Urban mobility is a pressing concern in modern cities, plagued by issues like traffic congestion and pollution. This research involves, "Optimising Urban Mobility with AI-based Traffic Management", delves into the potential of Artificial Intelligence (AI) to revolutionize traffic management. Focusing on AI algorithms, data analytics, and sensor technologies, the research aims to enhance traffic flow, reduce congestion, and improve overall efficiency. Through statistical analysis and simulations, the research evaluates the …
Published in Trends in Transport Engineering and Applications · Vol. 12, Issue 3, 2025 · pp. 34–43 Read article
-
Design & Implementation of 16-BIT MAC Unit Using Vedic Mathematics
Abstract: Multiply and Accumulate (MAC) units are essential parts of digital systems, particularly in embedded systems, digital signal processing (DSP), and image processing. The performance of these systems is significantly impacted by how well the multiplication process works. The design and construction of a fast 16-bit MAC unit utilizing Vedic mathematics are presented in this study.The proposed design utilizes the Urdhva Tiryagbhyam sutra to perform multiplication in a parallel manner, reducing …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 52–58 Read article
-
Today’s Status of Digital Resources in Medical College Libraries
Abstract: Digital resources have become integral to the advancement of medical education and research, enabling access to current scientific evidence, clinical guidelines, e-books, e-journals, and multimedia learning tools. Medical college libraries worldwide are transitioning from traditional print repositories to hybrid digital knowledge hubs. This transformation is driven by the evolution of Information and Communication Technology (ICT), rising expectations of learners and educators, institutional mandates for evidence-based practice, and the diffusion of …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 1, 2026 · pp. 85–94 Read article
-
A Physics-Informed Graph Neural Network Framework for Real- Time Thermal-Aware Fault Prediction and Adaptive Power Optimization in Heterogeneous System-on-Chip Architectures
Abstract: Heterogeneous System-on-Chip (SoC) architectures are increasingly adopted in edge computing, artificial intelligence, autonomous systems, and high-performance embedded platforms due to their superior computational efficiency and flexibility. However, increasing integration density and workload diversity introduce severe thermal hotspots, accelerated device degradation, and unexpected hardware faults that adversely affect system reliability and energy efficiency. This study proposes a Physics-Informed Graph Neural Network (PI-GNN) framework for real-time thermal- aware fault prediction and adaptive …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 2, 2026 Read article
-
Role of Centella asiatica in Alzheimer’s Disease: A Comprehensive Review
Abstract: Alzheimer's disease (AD) is a progressive neurological illness that causes cognitive decline and memory loss and affects millions of people worldwide. As synthetic medications often prove ineffective or cause severe side effects, natural remedies are gaining attention. This review explores the potential of Centella asiatica, a herb traditionally used in oriental medicine, in the treatment of Alzheimer's disease. Triterpenoids, asiaticoside, and madecassoside are among the bioactive substances found in Centella …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
-
Behavior of R.C. Buildings with Steel Encased Elements Subjected to Impact Loads
Abstract: This study examines the resilience of steel-encased concrete column beams and frames against blast loads, a crucial concern in regions prone to terrorist threats or accidental explosions. An exhaustive literature review establishes the historical context and theoretical frameworks of blast-resistant design. The research employs finite element analysis (FEA) simulations to study the dynamic behavior of these structures under various blast scenarios, revealing insights into load distribution, deformation, and failure mechanisms. …
Published in Journal of Industrial Safety Engineering · Vol. 11, Issue 1, 2024 · pp. 20–36 Read article
-
Study on Thermal and Electrical Performance of Pani Doped Graphene Composites under Solar Light Irradiation
Abstract: Here in the research work focusses on the study of thermal and electrical performance of PANI doped graphene composites fabricated by chemical way. A sequence of conducting polymer oxidative method done using the polymerization of aniline in the presence of graphene was deliberate under solar light irradiation. The composites were inspected and characterized using spectroscopy and microscopy studies. The thermal/ electrical performance of PANI and PANI doped graphene were evaluated …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1134–1146 Read article
-
ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
-
Design and Implementation of an Automatic Rain Sensing Wiper System Using SEN0545 Sensor and Raspberry Pi Pico W
Abstract: This study presents the design and development of an intelligent, automatic rain-sensing wiper system designed to enhance vehicle safety. The system utilizes a SEN0545 capacitive rain sensor, integrated with internal signal processing, and a Raspberry Pi Pico W microcontroller as its central control unit. The proposed approach enables non-contact and corrosion-free rain detection, ensuring reliable performance under varying environmental conditions. Based on the detected rainfall intensity, the controller dynamically adjusts …
Published in Trends in Electrical Engineering · Vol. 16, Issue 2, 2025 Read article
-
Advanced Functional Polymers and Their Synergistic Role in Smart Composite Materials for Sustainable Industrial Applications
Abstract: Advanced functional polymers have revolutionized composite materials, offering enhanced properties such as self-healing, electrical conductivity, environmental adaptability, and high mechanical strength. These innovations are reshaping industries by enabling smarter, more efficient, and sustainable solutions. Functional polymers play a pivotal role in producing high-performance composite materials to meet the growing demands of sustainable industrial applications. Significant improvements in material properties mechanical strength, durability, thermal stability, and recyclability are achieved through the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 12–27 Read article
-
High-Performance Biodegradable Films from Bamboo Derived Cellulose Nanofibers and Silk Fibroin: Engineering Sustainable Polymer Composites
Abstract: This research presents the advancement of biodegradable composite films from cellulose nanofibers (CNFs) extracted from bamboo and silk fibroin (SF) derived from Bombyx mori cocoons. CNF/SF composites were fabricated in three different compositions—CS10, CS30, and CS50—via aqueous blending and solution casting, followed by ethanol-induced β-sheet stabilization. Mechanical testing confirmed a considerable enhancement in tensile strength from 72 MPa (CS10) to 112 MPa (CS50), while Young’s modulus improved from 2.4 GPa …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 256–265 Read article
-
Machine Learning Framework for Optimizing Polymer–Metal Oxide Composites as Charge Selective Layers in Perovskite Solar Cells
Abstract: To achieve high-performance and stability of perovskite solar cells (PSCs), it was important to incorporate innovative interfacial materials to tune the balanced charge extraction, low recombination, and enhanced operational lifespan. On this note, polymer composites with metal oxides have been proposed as promising candidates as charge selective layers (CSLs), whereby they present a rare combination of tunable energy levels, improved film forming abilities, and better interface engineering capabilities. In this …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 1073–1098 Read article
-
Evaluation of Chemical Application as Pilot to Improve Oil Production from High Viscous Oil in Sandstone Reservoir
Abstract: Chemical injection stimulation is one of worldwide proven technologies for viscosity reduction and mobility enhancement. The principle mechanism is to reduce heavy oil viscosity by injecting of active chemical agent solution into reservoir as huff and buff practice, the agent solution is act at near wellbore area by remove plugging of heavy organic material, Energy support due to large quantity of stimulation liquid being injected into the formation, viscosity reduction …
Published in Journal of Petroleum Engineering & Technology Read article
-
Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
-
Synthesis of Lawsonia Inermis (Henna) Carbon Supported AgO Nanocomposite, Characterizations and Photocatalytic Activity Studies
Abstract: Synthesis of Carbon supported AgO nanocomposite is reported for first time. Henna carbon was successfully synthesized from henna leaf. Bare AgO and C-AgO nanocomposites are effectively made using precipitation method. The synthesised composites structural, morphological, and optical properties are assessed using FT-IR, XRD, FE-SEM, UV-DRS, and PL techniques. FT-IR analysis proved that specific functional groups of synthesized materials. The uniform distribution of the composites is revealed in the FE-SEM. XRD …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 749–760 Read article
-
Study of the response of Fenugreek Seedlings (Trigonella foenum-graecum L.) to some Plant Growth Regulators and Their effect on the production of the active Compound (Trigonelline)
Abstract: The experiment was conducted during the 2022–2023 academic year in the laboratories of the Department of Biology, Faculty of Education for Girls, University of Kufa, to investigate the effects of varying concentrations of gibberellic acid (GA₃) — specifically 0, 2, and 3 ppm — and salicylic acid (SA) (0, 2.5, 5 ppm) as well as the interaction between them on the germination percentage and some growth traits of fenugreek seedlings …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 15, Issue 2, 2025 Read article
-
Routing Protocols in FANETs with Future Enhancements
Abstract: Flying Ad Hoc Networks (FANETs), which are swarms of Unmanned Aerial Vehicles (UAVs), are an emerging solution which revolutionized the area of mission-critical and infrastructure-less communication systems. These networks provide real-time data transfer for use cases such as disaster relief, battlefield observation, environmental monitoring, and 6G-based smart cities. However, the dynamic profile of FANETs, which is defined by high 3D mobility, limited energy resources, unstable wireless links, and constant topology …
Published in Journal of Aerospace Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 8–13 Read article