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512 articles for “MS”
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TinyML-Based Real-Time Industrial Fault Detection Using Vibration Signals
Abstract: Industrial rotating machinery is commonly monitored through vibration measurements because changes in bearing condition can alter signal amplitude, impulsiveness, and spectral distribution. Cloud-centred analytics may introduce communication dependence, bandwidth demand, and response delay. Tiny Machine Learning (TinyML) offers a complementary approach by executing compact inference locally on resource-constrained edge hardware. This paper presents a reproducible, deployment-oriented workflow for vibration-based machine-state classification using statistical and spectral features with small classifiers suitable …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 3, 2026 Read article
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Design and Simulation of Forging Die Towards Improving Life of Closed Die
Abstract: Forging is the metal forming process which is used for forming complex shaped component with geometrical accuracy. More than fifty percent of the forgings are processed through this way. Forged components required in many engineering sectors, most of them in the automotive sector. The majority of the safety critical component and load bearing structural components are process through it. By using forging process production of complex component is faster with …
Published in Journal of VLSI Design Tools and Technology · Vol. 11, Issue 4, 2021 · pp. 1–15 Read article
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Effect of Climate Change and Sea Level Rise Along the Coastline of Mumbai in 2050-using MIKE 21
Abstract: Sea-level rise being one of the most significant effects of climate change have grabbed the attention of the world. Although the exact forecast of rise of sea level remains uncertain, many projections for high emission scenarios from individual studies were found much greater than likely range of 1 m of the 21st century SLR given in AR5 of IPCC. Moreover, due to the additional load from melt ice the Sea …
Published in Journal of Offshore Structure and Technology · Vol. 8, Issue 3, 2021 · pp. 55–64 Read article
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Card Fraud Detection Using Artificial Neural Network and Multilayer Perception Algorithm
Abstract: Fraud has posed a significant challenge for merchants, especially in the online business sector, over the course of many years. This is primarily due to the advancements in technology that have made credit card transactions a common method of payment. Credit card fraud refers to the unauthorized use of a credit card by an individual for personal purposes, without the owner's consent and with no intention of paying for the …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 1, Issue 1, 2023 · pp. 21–30 Read article
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Analyzing the Sheet Metal Extrusion Process Using Finite Element Analysis
Abstract: A wide range of sheet metal forming techniques has been developed to make it easier to produce intricate 3D objects. However, the knowledge still isn't sufficient. The sheet metal extrusion method was examined in this research as one of the common sheet-bulk metal manufacturing technologies. Consideration of the flow-stress curve's impact across a broad range of plastic strain and ductile damage played a pivotal role in constructing a realistic finite …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 1, Issue 1, 2023 · pp. 13–25 Read article
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Isolation, Purification and Characterization of Antimicrobial peptide produced by Saccharomyces boulardii №6569
Abstract: Object: To identify microorganisms that are newly isolated biologically and microbiologically and determine their characteristics by purifying AMP produced by yeast. Methods: We measured the antibacterial activity of AMP using microliquid dilution and turbidity methods and purified them using membrane filtration and gel filtration methods. The molecular weight of AMP produced by Saccharomyces boulardii was measured using Acquity UPLC SQD-2 and MS. Results: We confirmed that yeast-№18, identified biologically and …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 1, 2024 · pp. 7–18 Read article
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Agro-waste Generation & Management in Punjab (India): Status Update
Abstract: The Government of India is promoting bio-energy. Being a developing country, the focus is mainly on agro-residues. Lately, the policy makers have realized that the formulation of pro-bioenergy policies and industrial development strategies is dependent on precise resource assessment of entire spectrum of waste biomass present in the area, including agro-residues. Accordingly, the need for holistic biomass resource assessment has become indispensible to accelerate the growth of bio-power sector in …
Published in Research & Reviews : Journal of Ecology · Vol. 13, Issue 1, 2024 · pp. 12–17 Read article
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History, Processing, Types and Health Benefits of Indian Yogurt
Abstract: Yogurt is a food which is nutrient rich and it is produced after the milk bacterial fermentation. Yogurt should have 3.25% milk fat and 8.25% milk solids non fat and the titrable acidity of at least 0.9%, which is expressed as lactic acid. Before adding bulky flavoring additives, the USDA yogurt criteria specify that the yogurt must satisfy the composition requirements of milk fat and MSNF. The data used in …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 13, Issue 1, 2024 · pp. 1–6 Read article
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Chemical Profile and Toxicity of Fresh and Dry leaves of the Essential Oils of Vetiveria zizanioides (L.) Nash. From Southwest Nigeria
Abstract: The fresh and dry leaves of Vetiveria zizanioides (L.) Nash (Gramineae) plant was collected, air dried and authenticated at the University of Ibadan Herbarium with voucher number: UIH-23237. The plant's dried, fresh leaves were hydro distilled in a Clevenger device to extract the essential oils. The oils were characterized by Gas Chromatography-Mass Spectrometry (GC – MS) while the toxicity of the essential oils was tested using brine shrimps’ lethality assay. …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 1, 2024 · pp. 44–49 Read article
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Dynamic Performance Enhancement of Polymer Composites through Metaheuristic machinining optimization
Abstract: This work aims to provide an optimization of meta-heuristic algorithms in order to improve the dynamic behavior of composite materials utilized in various practical engineering tasks. Based on the Comprehensive literature review it has been observed that composite sandwich panels with PVC foam cores accomplished mechanical characteristics superior than those ones that were produced on PU foam core mainly in flexural, compression, and impact tests Thus the study establishes the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 114–129 Read article
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Enzyme Stability Prediction using BERT and CNN-A Deep Learning Approach for Enhanced Biocatalysis
Abstract: An important factor in determining the efficacy of industrial enzymes used in various biotechnological applications is their stability. The goal of this study is to develop a predictive model for industrial enzyme stability, which is essential to the efficiency of these enzymes in biotechnological applications. The research takes a comprehensive strategy to comprehend the parameters affecting enzyme stability by combining statistical analysis, deep learning algorithms (BERT and CNN), and molecular …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 2, 2024 · pp. 19–35 Read article
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Techniques for Disposing of Household Waste: Centralized and Decentralized Sites in Salem
Abstract: The impact of biomacromolecule-based household waste and its disposal strategies in the central and decentralized areas of Salem is complicated by environmental, economic and community factors. The main objective of the study was to evaluate the existing municipal solid waste disposal strategy in the study area. A comprehensive analysis was carried out in each selected city to determine the amount of municipal waste disposed of, its physical composition and its …
Published in Journal of Polymer & Composites · Vol. 12, Issue 4, 2024 · pp. 66–78 Read article
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Environmental Impact of Ghaf Tree (Prosopis cineraria) on Heavy Metals Concentration in Atmosphere
Abstract: The Ghaf is a hardy tree, drought-resistant, and can grow up to ten meters in height, it tree produces small, yellow flowers which attractive to many habitats, like bees, insects, and birds. The leaves and pods of the Ghaf tree have significant antioxidant and anti-inflammatory properties and can be used in new drug development. Ghaf trees can adapt to changing environmental conditions and planting Ghaf trees could be an effective …
Published in International Journal of Minerals · Vol. 1, Issue 1, 2024 · pp. 1–7 Read article
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Patient Profile and Antimicrobial Susceptibility Testingin Clinical Isolates of Staphylococcus aureus
Abstract: INTRODUCTION: Staphylococcus aureus is a gram-positive bacterium capable of causing various infections, ranging from minor skin infections to serious bloodstream infections. The rise of methicillin-resistant S. aureus (MRSA) strains has made treating these infections more challenging, as MRSA is frequently resistant to several types of antibiotics.. OBJECTIVE: The aim of this study was to investigate the patient profile and antimicrobial susceptibility patterns of clinical isolates of S. aureus in a …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 2, 2024 · pp. 31–38 Read article
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Multi-factor Fused Lightpath QoT Prediction for Optical Networks: A Multiple Reservoir Analysis Strategy
Abstract: Investigating the channel quality of transmission (QoT) in-depth is crucial for responsive and instant transparent optical network management. However, current lightpath QoT predictions are devoted to univariate modeling. Due to the QoT metrics complicated time-varying process and the existing effects of inter-channel factors, despite the use of an advanced and efficient echo state network (ESN), it is difficult to obtain ideal results in univariate prediction mode. Thus, this paper considers …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 1, 2024 · pp. 28–34 Read article
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Climate Change Including Forest Fire Prediction using Machine Learning and Deep Learning
Abstract: Climate change alludes to long haul shifts in temperatures and atmospheric conditions. These movements might be regular, for example, through varieties in the sun-oriented cycle. In any case, since the 1800s, human exercises have been the fundamental driver of climate change, basically because of consuming fossil fuels like coal, oil and gas. Many individuals think climate change mostly implies hotter temperatures. Be that as it may, the temperature climb is …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 Read article
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Comparative Proteomics: From Cell Lines to Clinical Samples
Abstract: Comparative proteomics is a powerful tool for understanding the molecular differences between various biological samples. It entails identifying and measuring proteins in complex biological samples to assess their abundance, modifications, and interactions under various conditions. This approach plays a crucial role in advancing biomedical research, especially in disease understanding, biomarker discovery, and therapeutic development. While cell lines are widely used for proteomic studies due to their controlled environments and reproducibility, …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 30–34 Read article
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Production of n-Butanol from Biomass by Two Step Fermentation Process Using Staphylococcus Sciuri
Abstract: This study explores the sustainable production of n-butanol from wheat husk through a two-step bioconversion process. Wheat husk, an abundant agricultural residue, was first fermented into butyric acid using Bacillus subtilis. The resultant butyric acid was then converted into n-butanol using Staphylococcus sciuri. The process leverages biological fermentation to create value-added chemicals from lignocellulosic biomass, offering an eco-friendly alternative to petrochemical methods. Two steps fermentation process were carried to increase …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 18–31 Read article
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Recent Advances in Transition Metal Complexes with Phenyl Acetic Acid and Pseudo Halogen: Synthesis, Characterization and Applications
Abstract: A well established strategy is to introduce a biologically relevant organic molecule in coordination sphere of transition metal complexes to increase the selectivity and biocompatibility. Phenylacetic acid (PAA), an organic molecule with a phenyl functional group and a carboxylic acid functional group, is a phenylalanine that is generated from the naturally occurring auxin, which is extensively present in plants. The most promising outcomes in the battle against cancer and microbes …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 68–78 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article