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289 articles for “Application methodology”
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An Extensive Analysis of Computer-Aided Drug Design for Novel Psychotropic and Neurological Substances
Abstract: A comprehensive review of the use of computer-aided drug design (CADD) in the creation of innovative neurologic and neuropsychiatric medications is given in this article. It discusses the challenges in traditional drug discovery approaches and highlights the role of computational methods in accelerating the identification and optimization of drug candidates targeting psychiatric and neurological disorders. The method of finding new drugs has been completely transformed by Computer-Aided Drug Design (CADD), …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 19–27 Read article
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Study of Algebraic Structures in Discrete Mathematics and Its Applications
Abstract: Algebraic structures such as groups, rings, fields, semi groups, and lattices form the foundational framework of discrete mathematics. These structures are defined by specific sets and operations that follow algebraic laws, enabling a systematic approach to problem-solving in various domains. This paper explores the theoretical principles of these algebraic systems and highlights their vital role in computer science, cryptography, automata theory, coding theory, and software engineering. By examining their properties …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 35–40 Read article
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Eco-Efficient Skies: Life Cycle Assessment and Carbon Footprint Minimization of Fiber-Reinforced Polymer Composites in Aerospace Application
Abstract: The increasing integration of fiber-reinforced polymer (FRP) composites in aerospace structures necessitates a rigorous evaluation of their environmental sustainability throughout their entire life cycle. This study presents a comprehensive life cycle assessment (LCA) and carbon footprint analysis of carbon fiber-reinforced polymer (CFRP) and glass fiber-reinforced polymer (GFRP) composites applied to structural and semi-structural components in commercial aerospace applications. Following ISO 14040/14044 standards and employing the ReCiPe 2016 Midpoint (H) impact …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 147–160 Read article
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Evaluating TRIZ Methodology in the Conceptual Design Phase of Industrial Products
Abstract: The Theory of Inventive Problem Solving (TRIZ) has emerged as a powerful systematic innovation methodology that enhances creativity and problem-solving efficiency in engineering design. This paper evaluates the application of TRIZ during the conceptual design phase of industrial products, where early-stage decisions critically influence functionality, cost, sustainability, and market competitiveness. TRIZ provides designers with structured tools—such as the 40 Inventive Principles, Contradiction Matrix, Su-Field Analysis, and Trends of Technological Evolution—that …
Published in International Journal of Industrial and Product Design Engineering · Vol. 3, Issue 2, 2025 · pp. 27–32 Read article
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Deploying Fuzzy Logic for Self-Tuning Regulator Design for Motion Control in Modern Electrical Machines
Abstract: Modern electrical machines require sophisticated motion control systems capable of adapting to varying operating conditions, load disturbances, and parameter uncertainties. Traditional self-tuning regulators (STR) based on classical control theory often struggle with nonlinearities, time-varying dynamics, and complex operational environments characteristic of contemporary electric drives. This article presents a comprehensive framework for deploying fuzzy logic in self-tuning regulator design to address these challenges in motion control applications. Fuzzy logic controllers leverage …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 3, Issue 2, 2025 · pp. 11–21 Read article
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Optimizing Manufacturing Processes with Taguchi Method in Production Engineering
Abstract: The Taguchi Method, pioneered by Genichi Taguchi, stands as a powerful optimization tool within the realm of production engineering. This paper delves into the principles, applications, and significance of the Taguchi Method in enhancing manufacturing processes. With a focus on minimizing variation and improving performance, this methodology plays a crucial role in addressing challenges faced by industries in their pursuit of operational excellence. The core components of the Taguchi Method, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 1, Issue 2, 2023 · pp. 1–8 Read article
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Enhancements in Titanium Matrix Composites: A Multifaceted Exploration of Various Structural Ceramics Reinforcement
Abstract: This research study delves into the comprehensive exploration of Titanium Matrix Composites (TMCs) reinforced with Silicon Carbide (SiC), Alumina (Al2O3), and Boron Nitride (BN). The investigation is structured into three key phases, each addressing essential aspects of TMCs: Phase 1 involves materials and manufacturing, where TMC coupons were fabricated through the stir casting technique with varying compositions of aluminum and silicon carbide. Phase 2 focuses on characterization and defect detection, …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 83–94 Read article
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An Overview of Surface Coating Methodologies and Their Use in Technical Materials
Abstract: To safeguard the product or structure against chemical harm, a variety of procedures and materials can be applied in coating applications today. Nowadays, coatings are used extensively in manufacturing all over the world to increase efficiency and reduce expenses two factors that are essential to preserving the sector's profitability. Coated materials have greater strength compared to uncoated materials. A variety of materials, including bio glass, polymers, ceramics, strong and hard …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 19–35 Read article
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Continuous-Time Modelling of the Two-Input Fourth Order DC_DC Converter
Abstract: Two-input fourth-order integrated (TIFOI) converter is designed to process the power from two different sources Vg1 and Vg2. This converter facilitates regulation of dc-bus voltage and LVS current. In the power conversion process it performs bucking operation for first dc source Vg1, buck-boost operation for the second source Vg2. Power stage dynamics of the TIFOI converters is modeled using the state-space analysis. The system modelling plays an important role in …
Published in Journal of Control & Instrumentation Read article
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Jarvis the Voice Assistant for Desktop
Abstract: This study presents the development and execution of a cutting-edge multilingual voice partner using JavaScript, HTML, CSS, and Python for the frontend and backend, independently. The voice accomplice is planned to appreciate and address client inquiries in various lingos, making it a significant gadget for people of all ages and foundations. The front end of the voice associate is created using JavaScript, HTML, and CSS, which give a simple to …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 28–39 Read article
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Design and Performance Analysis of Microwave Filters and Resonators for High-Frequency Systems
Abstract: Microwave filters and resonators are fundamental components in high-frequency systems, playing a crucial role in signal selection, interference suppression, and frequency stabilization. This review presents a detailed analysis of design methodologies and performance characteristics of microwave filters and resonators used in modern communication and radar applications. Various filter topologies, including low-pass, high- pass, band-pass, and band-stop configurations, are examined with respect to their frequency response, insertion loss, selectivity, and bandwidth. …
Published in Journal of Microwave Engineering and Technologies · Vol. 13, Issue 1, 2026 · pp. 8–16 Read article
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Adoption of Energy Mix Research and its Applications for Addressing the Current Energy Crisis in Nigeria
Abstract: Application of outputs from energy mix research is the way forward for national economic growth and sustainable energy in Nigeria. This paper examines the applications of energy mix research as a special tool for addressing the present energy crisis in Nigeria. The methodology used includes secondary data, opinions from experts, personal observations and previous records. Issues linked present system, appraisal of benefits and strategies for the way forward were highlighted. …
Published in Journal of Alternate Energy Sources & Technologies Read article
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Deep Learning Approach to Produce Artificial Speech (Text-To-Audio)
Abstract: This program utilizes key features of the .NET framework to facilitate smooth text-to-speech conversion and audio playback. Upon execution, users are prompted to input text via a graphical user interface (GUI), which the program converts into speech using the ‘SpeechSynthesizer’ class from the ‘System. Speech.Synthesis’ namespace. The audio that has been synthesized is handled and stored as a WAV file called ‘output.wav’ by utilizing the ‘FileStream’ class, allowing for future …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 1, 2025 · pp. 28–33 Read article
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Sustainable Membrane Fabrication Using Green Chemistry Principles: A Comprehensive Review of Microwave Irradiation, Sonochemical, and Continuous Flow Methodologies
Abstract: Membrane-based separation technologies have emerged as indispensable tools in water purification, biomedical engineering, pharmaceutical processing, and environmental protection. However, conventional membrane fabrication processes often rely on hazardous organic solvents, energy– intensive steps, and environmentally taxing conditions. In response to increasing global emphasis on sustainability and regulatory pressures, green chemistry strategies have gained attention for enabling safer, energy-efficient, and eco-friendly membrane production. This review provides a comprehensive and structured analysis of …
Published in International Journal of Membranes · Vol. 3, Issue 1, 2026 · pp. 8–24 Read article
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Nanostructured Catalysts for Sustainable CO2 Reduction: Advancing Green Chemistry and Polymer Composites
Abstract: This study provides a comprehensive analysis of advanced nanostructured catalysts designed to enhance the efficiency of artificial photosynthesis for sustainable fuel production. We systematically evaluated a range of nanomaterials—including metal oxides, plasmonic nanoparticles, and carbon-based composites—to determine their effectiveness in converting solar energy into storable chemical fuels. The catalysts were synthesized via sol-gel, hydrothermal, and green methods, and their properties were thoroughly characterized using XRD, SEM, TEM, UV-Vis spectroscopy, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 175–181 Read article
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Analyzing The Mechanisms of Polymerization and The Related Kinetic Pathways Using Refined Analytical Methods.
Abstract: In numerous sectors, polymeric materials play a crucial role, yet effectiveness is largely determined by their molecular structure and the processing parameters utilized. This investigation presents an integrative approach aimed at delineating the connections between polymer structure, properties, and processing through sophisticated characterization methods. With the implementation of small angle X Ray Scattering (SAXS),NMR(Nuclear magnetic resonance( spectroscopy) FM(Atomic Force Microscopy) and rheological analysis, we analyze the complex interplay between molecular …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 86–94 Read article
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Next-Generation Satellite Remote Sensing: Innovations, Applications, and Future Prospects
Abstract: Advances in satellite remote sensing have revolutionized our ability to monitor, analyze, and understand the Earth's environment across various scales. Over the past few decades, the field has seen remarkable progress in sensor technology, data processing techniques, and analytical methodologies. Modern satellites now provide high-resolution imagery and multi-spectral data, enabling enhanced monitoring of land cover, atmospheric conditions, oceanic dynamics, and natural disasters. These advancements have facilitated improvements in climate change …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 1, 2025 · pp. 37–62 Read article
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A Comprehensive Study Utilizing Patterned Fabric Images and Detection Techniques with OpenCV and Edge Detection
Abstract: This project offers a comprehensive overview of recent advancements in autonomous fabric failure detection methods, a critical aspect of quality control in the textile industry. Detecting flaws in fabric is an increasingly vital automation challenge. The project evaluates the effectiveness of a proposed method by analyzing patterned fabric images featuring typical flaws. The performance of the proposed approach is assessed across various types of fabric flaws. Additionally, the project tests …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 11, Issue 1, 2024 Read article
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Towards Intelligent Healthcare: Artificial Intelligence’s Impact on Healthcare
Abstract: Artificial Intelligence (AI) stands as a transformative force within healthcare, offering multifaceted support to various processes and medical professionals. This comprehensive study investigates the extensive array of AI applications and its potential to reshape the healthcare landscape. Specifically, it examines the utilization of deep-learning methodologies in harnessing vast medical datasets to enhance healthcare provision. Expanding beyond theoretical discussions, this study scrutinizes AI's role in breast cancer, seizure, and tumor detection, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 2, 2024 · pp. 77–83 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article