Search
1909 articles for “D-M-A-I-C” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
-
Mechanical Properties of Al6061-Al2O3 Metal Matrix Composite Using Die Casting Technique
Abstract: 6061Al - Al2O3 Metal matrix composites are applied as conventional materials in the domain of aerospace, automotive and marine applications to enhance the physical properties. The present work aimed to prepare metal matrix composite using 6061Al as the matrix material. Particulates of Al2O3 with 40 µm were reinforced using die casting technique. Further level of reinforcement is being varied from 0-16wt% in steps of 4wt%. Microstructural characterization has been conducted …
Published in Journal of Automobile Engineering and Applications · Vol. 5, Issue 3, 2018 · pp. 11–20 Read article
-
Comparison of McKenzie Treatment and Inhibitive Distraction on Cervical Range of Motion, Disability in Subjects with Nonspecific Neck Pain
Abstract: This is a comparative study to compare the effectiveness of McKenzie method and Inhibitive Distraction on subjects with nonspecific neck pain. A total of 34 subjects were included based on the inclusion and exclusion criteria through convenient sampling and divided into two groups. Outcome measures were a Visual Analogue Scale (VAS) with a 10 cm baseline, a Gravity Inclinometer (Figure 1), and Copenhagen Neck Functional Disability Scale (CNFDS). Result of …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 3, Issue 2, 2014 · pp. 34–44 Read article
-
Artificial Neural Network Modelling to Optimize Micro-Drilling Parameters of ECDM of Developed Novel Zn/(Ag+Fe)-MMC
Abstract: Several engineering fields have increased their use of metal matrix composites (MMCs) in the past few years. Due to the increase in composites, the demand for accurate machining has also become important. Specifically, pertaining to biomaterial applications, accuracy factor with desired surface finish is critical. While the near-net shape manufacturing process has advanced, MMCs frequently require post-mould machining to achieve surface quality, and dimensional tolerances. In the present study, a …
Published in Journal of Polymer & Composites · Vol. 11, Issue 1, 2023 · pp. 01–13 Read article
-
Development and Comparative Study of Aluminium- Copper Metal Based Composite Through Different Routes
Abstract: The aim of this study is to develop aluminium-copper composite through powder metallurgy technique. Powder metallurgy is an art or technology which can produce exact dimension of final roducts utilizing less energy. Copper oxide (CuO) was used as the source of copper, which was extracted through a reduction process using dextrose. The reaction was thoroughly examined and reported. Commercially available aluminium powder served as source of the aluminium. Aluminium- copper …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 19–32 Read article
-
The effect of cooling time and colorant pigment on the dimensional accuracy of plastic injection molded closure
Abstract: Dimensional accuracy is a critical aspect of precision injection molding, with the products generally required to conform to set tolerances. Major causes of these deviations are reported to be related to the polymer material, part geometry, injection mold design, and process parameters. This study investigated the effects of material color pigment and its interaction with process cooling time on product dimensional accuracy. This study was conducted experimentally, where three levels …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 93–100 Read article
-
Nutraceuticals in Camel Milk (White Gold of Desert): A Review
Abstract: Camels play a powerful function in human lifestyles. Camels are, in most cases, live in the desert and people residing in the wilderness farmed the camels for milk and meat. Camel milk is plentiful of nutrients. It is the most similar form of nutritive mixture because it contains more microminerals, such as copper, cobalt, zinc, iron, manganese, molybdenum, plumbum and vitamin C, as well as less fat. The nutrients in …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 10, Issue 2, 2021 · pp. 12–19 Read article
-
Analysis and Application of Mathematical Modeling in Malaria Disease Control
Abstract: In this paper, we develop a mathematical model to analyze malaria transmission dynamics, as malaria is an infectious disease caused by the spread of progenitor parasites to humans through the bite of the female Anopheles mosquito. Mathematical models have long served as a framework for understanding and managing the impact of malaria, which has affected populations for over a century. Our model incorporates infected individuals who may recover and later …
Published in Research & Reviews : Journal of Statistics · Vol. 14, Issue 2, 2025 · pp. 19–25 Read article
-
Modeling and Analysis of Crack Initiation in a Cylindrical Specimen
Abstract: In an engineering component subjected to variable loading/cyclic stressing, the stress and stress state, particularly the plastic strain and the triaxiality, play an important role in determining its life. Ductile materials predominantly fail by void growth, and crack initiation in ductile material can be associated with a specified volume of voids. Estimation of this crack initiation life and the remaining life through analytical modeling and comparing it through experimental testing …
Published in Trends in Mechanical Engineering & Technology · Vol. 3, Issue 3, 2013 · pp. 20–28 Read article
-
Harnessing Deep Learning to Explore Microbial Community Structure and Carbon Storage Capacity in Mangrove Ecosystems: A Framework for Computationally
Abstract: Mangrove ecosystems represent one of the most efficient natural carbon sinks on Earth, functioning as critical blue carbon habitats that sustain diverse microbial communities responsible for biogeochemical cycling and long-term carbon storage. Despite their global ecological significance, accurately quantifying and predicting carbon sequestration in mangrove systems remains challenging due to the complex interactions between microbial diversity, sediment chemistry, and environmental drivers. This study presents a comprehensive and sustainable artificial intelligence …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 41–49 Read article
-
An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
-
Trustable Digital Design Counter-Measures against Eavesdropping and Man-in-the-Middle Attacks in Qi Wireless Power Transfer Protocol
Abstract: Qi is a wireless power transfer protocol by which power can be transferred from a wireless power transmitter to a wireless power receiver. The power receiver controls the power that will be transmitted from the power transmitter by sending several forms of control packets to power transmitter as necessary. But under the current specifications of the protocol, there is no authentication mechanism by which a power transmitter can recognize whether …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 26–40 Read article
-
A Combined Molecular Docking Analysis of The Phytochemicals of Ginkgo biloba against The Parkin Protein Target (Autoinhibited Parkin Catalytic Domain)
Abstract: This study's goal is to evaluate the specific therapeutic targets for Parkinson's disease (PDB ID: 4BM9) using molecular docking simulation and ADME analysis against bilobalide, quercetin, ginkgolide B, and protocatechuic acid (3,4-Dihydroxybenzoic acid). The Protein Data Base was used to extract theprotein's three-dimensional structure, and the PubChem database was used to retrieve the ligands. Using Auto-Dock Tools-1.5.7, a molecular docking simulation of the compounds was carried out. Since none of …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 1, 2023 · pp. 1–9 Read article
-
Study to evaluate and correlate the levels of heavy metals in dental calculus of burnt tobacco (Mishri) users and non-tobacco users with their periodontal status Using Atomic Absorption Spectrometry (AAS)
Abstract: The use of burnt tobacco products, such as Mishri, is associated with numerous health risks, including periodontal diseases. Heavy metals present in tobacco can accumulate in dental calculus, potentially exacerbating periodontal conditions. This study aimed to assess and establish a correlation between the levels of heavy metals present in dental calculus among burnt tobacco (Mishri) users and non-tobacco users, in relation to their periodontal health status. Utilizing Atomic Absorption Spectrometry …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 166–174 Read article
-
Malaria Diagnosis through Conventional Methods: A Comprehensive Review
Abstract: The incidence of drug-resistant parasite strains is rising, there is an apparent increase in the number of cases of malaria worldwide, and in a small number of cases and there has been a dramatic rise in international migration and travel. Over 1 million people die from malaria every year; 90% of these deaths are in African children, who live in tropical and subtropical regions. Although there are now efficient techniques …
Published in International Journal of Pathogens · Vol. 1, Issue 2, 2024 · pp. 8–14 Read article
-
AI for Cybersecurity: Deploying Machine Learning for Network Traffic Anomaly Detection
Abstract: The growing sophistication of cyberattacks and the growth of network traffic necessitate sophisticated anomaly detection methods. This study overviews the use of artificial intelligence (AI) and machine learning (ML) to counter these challenges, as noted in current studies. It analyses supervised learning (SVM, Decision Trees), unsupervised learning (K-means, DBSCAN), and deep learning (CNNs, RNNs, Auto-encoders) approaches, considering their strengths and weaknesses. The research integrates current developments in AI/ML-based network anomaly …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 1–10 Read article
-
Autonomous Calibration of Medical Devices Using Synthetic Biosignals and Adaptive Learning
Abstract: The accuracy and reliability of modern biomedical diagnostic devices are critically dependent on effective calibration mechanisms capable of handling dynamic physiological and environmental variations. Conventional calibration approaches, which rely on static reference signals and manual adjustments, are inadequate in addressing challenges such as sensor drift, noise interference, motion artifacts, and long-term performance degradation. To overcome these limitations, this research proposes an innovative AI-driven adaptive biosignal simulation and calibration architecture for …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 2, 2026 Read article
-
Detailed Modeling Concepts, Stability Analysis and Emerging Trends in Wind Farm: A Survey
Abstract: Wind is omnipresent and found abundant in nature. This paper deals with an in-depth literature survey of wind energy conversion systems (WECS), their classification, and modeling of various sub-systems of WECS. The control methodologies adopted for transient, voltage, rotor angle, frequency and dynamic stability of WTGs connected to grid to remain within margins, is also studied. In addition to this, different controlling techniques for controlling grid side converter and rotor …
Published in Trends in Electrical Engineering · Vol. 5, Issue 3, 2015 · pp. 89–108 Read article
-
Engineering Perspectives: Thermal and Structural Examination of Disc Brakes for Light Vehicles
Abstract: The procedure of braking transforms the kinetic energy of a car into mechanical energy that needs to be released as heat. High temperatures may result from the frictional heat produced at the disc and pad interface during the braking phase. Frictional heat produced on the rotor surface can contribute to an excessive rise in temperature, which can have unfavorable effects including premature wear, brake fluid vaporization (BFV), thermally excited vibrations …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 1, Issue 2, 2023 · pp. 16–23 Read article
-
Comparative Evaluation of GPBB and CK-MB in Early Diagnosis of Acute Myocardial Infarction in Diabetic and Non-Diabetic Patients
Abstract: Background: Acute myocardial infarction (AMI) continues to be a leading cause of morbidity and death among people worldwide. To lower the risk of problems, early and precise diagnosis is essential, particularly for diabetes patients. The study investigates the diagnostic value of Glycogen Phosphorylase BB (GPBB), a potential early biomarker of myocardial necrosis, and compares it with CK-MB, a widely used cardiac marker, in AMI diagnosis. Inflammatory markers (hs-CRP, IL-6, TNF-α) …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 16, Issue 2, 2025 · pp. 33–37 Read article
-
Application of Remote Sensing and GIS Techniques for Decadal Change Detection of Mangroves along Tamil Nadu Coast, India
Abstract: Mangrove forests are among of the most productive and biologically important ecosystems of the world. The mangrove forests aids stabilize shorelines and reduce the devastating impact of natural disasters such as tsunamis and hurricanes. They also provide breeding and nursing grounds for marine and pelagic species, and food, medicine, fuel and building materials for local communities. Despite of its immense importance, it is declining due to increasing coastal population, urbanization …
Published in Journal of Remote Sensing & GIS · Vol. 7, Issue 1, 2016 · pp. 42–53 Read article