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1977 articles for “AC Analysis” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Enhancing Process Safety Management in the Wellestablished Steel Industry: A Holistic Approach to Thorough Hazard Identification, Rigorous Risk Assessment, and Safety Improvement
Abstract: In order for any industry to achieve success, it is crucial to identify hazards, assess associated risks, and mitigate them to an acceptable level. Due to the inherent nature of operations and the complexity of systems, procedures, and methods, industrial activities inherently involve certain levels of hazards. Hazard analysis plays a pivotal role in identifying potential undesirable events that can lead to hazards, analyzing the mechanisms by which these events …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 2, 2023 · pp. 26–32 Read article
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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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Deep Learning for Real-Time Monitoring and Defect Detection in Additive Manufactured Polymer Composites
Abstract: Additives Fiber-reinforced polymer composite ADDs have high utility in making lightweight structural components, but due to process-related defects (interlayer delamination and reinforcement stacking) the integrity of consolidation during extrusion-based deposition is frequently compromised. This paper has presented a physics-informed deep learning framework that is applicable to real-time measurements of reinforced thermoplastic composite fabrication. Multimodal sensing was provided with thermal gradient, optical morphology, and acoustics emission signals being used to assess …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 974–999 Read article
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Report Pulse: Using Machine Learning
Abstract: This study presents the development of a novel medical report analyzer, specifically designed to streamline the interpretation of complex health data. The Report Pulse project represents a significant advancement in healthcare innovation, aiming to facilitate deeper insights into medical reports and foster personalized health management strategies. At its core, the Report Pulse project introduces a sophisticated blood report analyzer, which transcends conventional data analysis by providing actionable insights tailored to …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 28–33 Read article
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A Module to Connect Different Sensors to The Existing Varun Main Controller Device
Abstract: This research paper presents the development of a sensor interface module that expands the data acquisition capabilities of existing Varun main controller devices. Traditional agriculture frequently makes decisions based on past performance, which can result in inefficiencies and have an adverse effect on the environment. By utilizing sensor technology and data analysis, precision agriculture presents a possible option. This method gathers real-time data on a range of agricultural factors by …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 3, 2023 · pp. 30–43 Read article
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Electromagnetic Finite Element Analysis of a Switched Reluctance Motor
Abstract: The objective of this study is to create an ideal model for an ultra-high speed switched reluctance motor generator for automotive turbocharger assistance and energy recovery by using electromagnetic finite element analysis. For this purpose, the transient simulation process is considered. The modelling and analysis of a switched reluctance motor (SRM) is the initial task for the selection of the coupled mover. The SRM must be able to achieve high …
Published in Journal of Automobile Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 36–48 Read article
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Lab Reagents and Their Importance in Bio-chemistry
Abstract: Biochemical reagents are essential substances in the study of life at the molecular level. These reagents help scientists detect, identify, and quantify bio-molecules such as proteins, carbohydrates, nucleic acids, and enzymes in biological systems. They play a vital role in understanding metabolic reactions and physiological processes within living organisms. Biochemical reagents are generally classified into analytical, diagnostic, enzymatic, chromogenic, and buffer reagents, each serving a specific purpose in laboratory and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 · pp. 1–4 Read article
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The Reserves and Production Trends of Ghana’s Petroleum Resources
Abstract: Fossil fuels consumption has been a major source of energy in the past three decades. Globally, this accounts for over 80% of the primary energy mix. Ghana has huge hydrocarbon reserves. These reserves include fields such as the Saltpond field currently planned for decommissioning, Jubilee, Tweneboa-Enyenra-Ntomme (TEN), and the Sankofa-Gye Nyame (SGN) fields. The dwindling rate of these fields over the years has become a great concern. This work has …
Published in Journal of Petroleum Engineering & Technology · Vol. 12, Issue 3, 2022 · pp. 28–37 Read article
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Assessing and Mitigating the Carbon Footprint of Products: A Comprehensive Analysis
Abstract: The environmental impact of human activities, particularly in the production and consumption of goods, has gained significant attention in recent years. The carbon footprint that products have is one important part of this impact. This research paper investigates and analyzes the carbon footprint of products, exploring the methods of assessment, key contributing factors, and potential mitigation strategies. By understanding the carbon footprint of products, consumers, producers, and policymakers can make …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 1, 2024 · pp. 27–37 Read article
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Transforming Hospital Environments: The Role of Sound Detection
Abstract: Hospitals are sanctuaries of healing, yet they are often paradoxically exposed to a pervasive, often underestimated threat: excessive noise. While internal hospital sounds pose their own challenges, the impact of external sounds – traffic, construction, sirens, and urban clamor – can profoundly compromise patient safety, recovery, and overall well-being. This article explores the critical role of advanced sound detection systems in mitigating this external acoustic intrusion, leveraging technology to create …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 4, Issue 1, 2026 · pp. 28–40 Read article
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Design, Synthesis, and Spectroscopic Elucidation of 3-Methyl-1-Phenylpyrazol-5-One: A Cheminformatics-Aided Approach to Heterocyclic Drug Scaffolds
Abstract: Pyrazolone, a notable heterocyclic compound, has drawn increasing interest due to its broad pharmacological profile and structural versatility. The synthesis, characterisation, and biological assessment of new pyrazolone derivatives are examined in this work. A comprehensive review of existing synthetic strategies is presented, emphasizing green and efficient methodologies. Novel derivatives were synthesized using varied starting materials and catalytic systems, followed by structural confirmation through spectroscopic analyses, including NMR, IR, and mass …
Published in International Journal of Cheminformatics · Vol. 3, Issue 1, 2025 · pp. 29–40 Read article
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Signal Drift Compensation in Polymer-Based Wearable Biosensors Using Data Processing Techniques
Abstract: Polymer-based wearable biosensors have emerged as promising platforms for continuous physiological monitoring due to their mechanical flexibility, low operating voltage, and compatibility with soft biological interfaces. However, their long-term deployment remains challenging because of signal drift caused by polymer ageing, hydration–dehydration cycles, ionic trapping, and environmental variations. These effects introduce baseline fluctuations and sensitivity degradation, which compromise the reliability and interpretability of physiological measurements. This study proposes a data-processing–driven framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 197–207 Read article
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An In-depth Qualitative Exploration of Industrial Safety Factors Influencing Large-scale Construction Projects in India
Abstract: As the number of incidents at mega construction sites continues to rise, particularly in India, a developing nation, it is crucial to recognize the pivotal role the construction industry plays in contributing to the country’s economy. Nonetheless, this expansion has been concomitant with a concerning upsurge in accident and fatality rates within the construction industry. The aim of this study is to uncover the fundamental factors behind this trend which …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 2, 2023 · pp. 33–41 Read article
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Linear Programming for Profit Optimization in Small-Scale Manufacturing: A Python-Based Simplex and Machine Learning Approach
Abstract: Profit maximization under resource constraints is a classic challenge. Small manufacturers face tight margins and scarce capital every day. This paper tackles that problem using four Python-based methods. The case study is Bintang Bakery in Bandar Lampung, Indonesia. The bakery makes three bread types and faces 18 resource constraints. Data comes from Anggoro et al. Methods tested include LP revised simplex, Differential Evolution, PSO, and ANN Surrogate. General-purpose scipy minimizers …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 01–11 Read article
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Performance Evaluation of Eco-friendly Cutting Fluid in Machining Process—An Approach towards Environmentally Friendly Production
Abstract: The machining industry's evolving environmental consciousness has prompted a growing demand for cutting fluids devoid of chlorine and sulphur, thus fostering sustainable machining practices. This surge in demand is driven by mounting apprehensions over environmental contamination and worker safety. As the industry transitions to modern cutting fluids, it becomes imperative to comprehend their effectiveness and the optimal machine parameters required for their deployment in the turning process. In our current …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 149–160 Read article
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Development of an Anti-Slip Mechanism for Enhanced Seat Belt Safety
Abstract: A seat belt on the other hand is a safety feature that is an integral part of any vehicle that has the sole responsibility of holding passengers in case of any abrupt deceleration. However, it is important to note the fact that normal seat belts tend to slide off during the times of serious accidents and this can compromise the safety of the passengers. Present work is aimed at design …
Published in Journal of Experimental & Applied Mechanics · Vol. 16, Issue 3, 2025 · pp. 1–13 Read article
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A Systematic Review of Method Development and Validation for Ramipril Analysis Using Hplc in Cardiovascular Research
Abstract: The field of analytical chemistry encompasses a variety of methods that are crucial in determining the chemical composition of different substances. UV-visible spectroscopy and high-performance liquid chromatography (HPLC) are two widely utilized methods that are the subject of this article. UV-visible spectroscopy uses the Beer-Lambert law to quantify light absorption, which can provide information about the concentration of absorbing species. The method is based on how light and matter interact, …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 15, Issue 2, 2024 · pp. 37–44 Read article
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Enhancement in Biomedical Polymer Nanocomposites: Biocompatibility and Mechanical Property Predictions using Machine Learning
Abstract: A machine learning (ML)-based framework is developed and validated through experimental analysis and comparative modeling to enhance system dependability and improve prediction performance. The proposed framework includes key stages such as data preprocessing, feature evaluation, model training, and performance benchmarking to determine the most effective prediction technique. Several machine learning models were evaluated, including Ensemble models, Artificial Neural Networks (ANN), Decision Tree (DT), Random Forest (RF), Support Vector Machine (SVM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 275–296 Read article
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Optical Image Sensing and Analysis of Iron Ore Pellets: A Machine Learning Approach
Abstract: The present work is aimed to improve quality control in steel production using SEM imaging and machine learning. High-resolution SEM images of iron ore pellets, primarily composed of hematite and magnetite, are analyzed to understand their microstructural features, which significantly impact pellet performance during reduction processes. Traditional microstructure analysis is manual, time- consuming, and prone to inconsistencies. This study proposes an automated approach using K-Means Clustering, Canny Edge Detection, DBSCAN, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 3, 2025 · pp. 7–18 Read article
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Prototype of Design, Analysis and Optimization of Front Hub Upright Assembly of ATV (All-Terrain Vehicle) for Baja SAE India Competition
Abstract: When all-terrain vehicle came in dynamic condition steering and suspension geometry, it affected the vehicle stability. This stability limits the speed and comfort of the vehicle. Stability is more required in all-terrain vehicles because they have to wear more dynamic force; if vehicle will be unstable then failure will occur; it also decreases the ergonomics and comfort of the driver, so it is mandatory that vehicle should have proper geometry …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 1, 2016 · pp. 15–20 Read article