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670 articles for “data rate”
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Analysis of Machining Parameters in Wire EDM with Aluminum Alloy Using PCA and TOPSIS Approach
Abstract: Although the efficiency of traditional cutting processes is inadequate by the mechanical properties of the processed material and the intricacy of the work piece geometry, electrical discharge machining (EDM) being a thermal erosion process, is subject to no such limitations. This paper summaries the suitable use of Taguchi’s L27 orthogonal array which takes 27 experimental runs to develop a mathematical model for correlating the interactive and higher order impacts of …
Published in Journal of Mechatronics and Automation · Vol. 4, Issue 2, 2017 · pp. 1–11 Read article
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Evaluation of Mechanical Property and Optimization of the Dry Sliding Wear Behavior of Carbon Black-Alumina-Epoxy-Glass Composite by using Design of Experiments
Abstract: The research work is mainly focused on investigating the effects of wear parameters: filler content (0%, 4% CB, 4% Al2O3,and 2% CB + 2% Al2O3), applied load (4.905, 9.810, 14.710, and 19.62 N), sliding distance (20, 30, 40, and 50 mm) by using Design of Experiments (DOEs) approach. The experimental results were analyzed using MINITAB V16 scientific graphical and data analysis software. Signal-to-Noise (S/N) ratio, analysis of variance (ANOVA) proved …
Published in Journal of Materials & Metallurgical Engineering · Vol. 4, Issue 2, 2014 · pp. 21–31 Read article
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Synthesis of Poly(Methyl Methacrylate) Latex Using Batch Emulsion Polymerization Reactor: Experimental and Simulation Study
Abstract: AbstractThe rationale for the present study was to develop Poly(methyl methacrylate) polymer latex, using free radical emulsion polymerization mechanism, in which water acted as the continuous aqueous phase, methyl methacrylate monomer as the dispersed phase, potassium persulfate (KPS) as an initiator and sodium dodecyl sulfate (SDS) as the stabilizing agent. PMMA is a versatile thermoplastic resin, used widely because of its excellent performance in optical and medical field. The characterization …
Published in Journal of Polymer & Composites · Vol. 4, Issue 1, 2016 · pp. 37–44 Read article
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Investigation on the Benefits of Steam Adsorption and Distribution during Cyclic Steam Injection to Improve Oil Recovery - FNE Case Study, Sudan
Abstract: One of the main types of Enhanced Oil Recovery (EOR) methods is thermal stimulation method which is an increasingly common method of extracting heavy oil. there are different forms of the technology of thermal method Cyclic steam stimulation, Steam flooding and In-situ combustion “Fire flooding” are commonly applied to oil reservoirs, which are relatively shallow very viscous oil at the reservoir temperature, the most widely used steam injection methods for …
Published in Journal of Petroleum Engineering & Technology · Vol. 8, Issue 3, 2018 · pp. 1–21 Read article
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Progressive Muscle Relaxation and Anxiety Reduction among Cardiac Surgery Patients
Abstract: Heart surgery is a stressful life event. Progressive muscle relaxation (PMR) can be implementing in nursing practice as an effective, complimentary therapy. Present study was undertaken with the objective of assessing the effect of PMR on anxiety level of valvular heart surgery patients. A randomized controlled trial was done and 65 adult patients were enrolled and randomly assigned 33 into the experimental group and 32 into control group. Hamilton anxiety …
Published in Journal of Nursing Science & Practice · Vol. 8, Issue 3, 2018 · pp. 38–47 Read article
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Secure Forge: Deepfake Image Detection Using Vision Transformers
Abstract: Deepfake technologies have become a major risk to the credibility and trustworthiness of digital visual information. Using powerful generative models like GANs and autoencoders, deepfakes can generate highly realistic fake videos and images, resulting in misinformation, identity theft, and public loss of trust in digital media. Classic Convolutional Neural Networks (CNNs) while being highly effective in initial-stage, deepfake detection tend to be limited by their local receptive fields and dependency …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 32–45 Read article
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Evaluation of SAR and Temperature Elevation in Human Head for Advanced Wireless Services (AWS) Application
Abstract: In this paper, the specific absorption rate (SAR) and the temperature rise in the SAM phantom human head model as a consequence of the exposure to radiation of planar inverted F (PIFA) mobile handset antenna has been estimated at Advanced Wireless Services (AWS) band downlink frequency range. Biological hazards on human head owing to electromagnetic wave (EMW) exposure in advanced wireless services has been analyzed by computing the temperature rise …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 3, 2016 · pp. 19–24 Read article
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Gradient Boosted Regression Tree Approach to Predicting Toxic Interactions on X and YouTube
Abstract: In the digital age, social media platforms play a vital role in facilitating user engagement, encompassing both positive interactions and avenues for negative, often harmful behaviors. Recognizing and addressing toxic exchanges is paramount to nurturing healthy online communities and preserving users’ well-being. This study introduces a novel method for identifying toxic interactions by utilizing Gradient Boosting Regression Trees (GBRT) algorithm, a machine learning approach renowned for its exceptional accuracy and …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 3, 2025 · pp. 7–14 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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Wear Attribute of Aluminium Metal Matrix Composite Reinforced With MWCNT, Produced By FSP, On A Vertical Milling Machine
Abstract: The exceptional properties of Aluminium metal matrix composites (AMMCs) like good hardness, specific strength, enhanced wear rate made huge demand in the automobile and aerospace industries. The classical methods of manufacturing AMMCs leave problems at the interface of matrix and reinforcement segregation, like an agglomeration of reinforcements, wettability etc. To overcome this, an alternate, innovative method of fabricating aluminium matrix surface composites has been invented, which is termed friction stir …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 525–539 Read article
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Immunological Biomarkers and Epidemiological Evaluation of Lymphatic Filariasis Elimination Efforts in Osun State, Nigeria
Abstract: Lymphatic filariasis (LF) remains a neglected tropical disease affecting millions globally, despite extensive elimination efforts. While the interruption of transmission is a key goal, the long-term immunological effects on individuals with existing complications like elephantiasis remain poorly understood. This study assessed the current transmission status of LF and the haematological profiles of infected individuals across selected Local Government Areas (LGAs) in Osun State, Nigeria. A total of 7,388 individuals from …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 1, 2026 · pp. 22–30 Read article
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Effect of Yogic Training on Selected Physiological and Psychological Variables of Sports persons.
Abstract: The primary objective of this research endeavor was to investigate the impact of Yogic training on specific physiological and psychological parameters among sportspersons. A sample comprising 50 sportspersons (25 male and 25 female), aged between 18 to 25 years, was randomly selected from Ahmedabad for the study. The intervention involved four weeks of Yogic training, during which data were collected at two time points: before the commencement of training (pre-test) …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 2, 2024 · pp. 35–39 Read article
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Parkinson’s Disease Detection on Spiral Images Using CNN with Meta-Classifiers
Abstract: In this work, we provide a detailed method for identifying Parkinson’s Disease (PD) by integrating Convolutional Neural Network (CNN) and meta-classifiers. Through the utilization of a varied dataset consisting of handwritten spiral images, our methodology demonstrates commendable accuracy across a range of models. Specifically, our CNN model with meta-classifiers surpasses alternative approaches, achieving an impressive accuracy rate of 95.07%. By utilizing pre-established VGG16 and ResNet50 architectures as bases, the region-based …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 55–66 Read article
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Brain Tumor Detection Through CNN: Techniques, Dataset Insights, and Methodology
Abstract: Computer technologies are playing huge roles in some areas of the medical domain like surgery and therapy of different diseases. Researchers are doing studies and trying to experiment to detect different diseases like cancer, virus infections, and leprosy. There are many different medical imaging datasets that are publicly available for medical research purposes of diseases like cancer, virus infections, and leprosy, etc. where we can be able to access large …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 1, 2025 · pp. 30–40 Read article
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Optimizing Glass to Metal Composite Seal Performance: An integrated Approach with Artificial Neural Network, Multiple Regression, and Taguchi
Abstract: Composite materials, particularly glass to metal composites, are critical components in solar receiver tubes, where vacuum leakage can significantly compromise the efficiency of solar plants. This research addresses the technical barriers associated with the development of durable and high-quality glass to metal composite seals. We investigate the principles that can enhance the physical and chemical properties of these composite seals, focusing on the incorporation of TiO2 and MgO nanoparticles into …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 418–435 Read article
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Optimized Text Extraction and E-Repository Development of Hindi and Punjabi Documents Using OCR and NLP Techniques
Abstract: Increase in digitalization of content in the form of text content necessitates powerful document and text extraction systems, particularly for Indian languages such as Hindi and Punjabi. The existing Optical Character Recognition (OCR) solutions support major scripts such as English, leaving a research opportunity for effective recognition of Devanagari and Gurmukhi scripts. This study recommends a modified text extraction algorithm based on Tesseract OCR, accompanied by preprocessing steps of conversion …
Published in Journal of Web Engineering & Technology · Vol. 12, Issue 3, 2025 · pp. 35–43 Read article
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Encryption Mechanism under Prevalent Invasion
Abstract: The digital and computerized era is fast approaching which has increased the amount of data exchanged over the internet. The information transmitted can be accessed by an unauthorized user who can manipulate the data. This fact reveals the need for security mechanisms resulting in various cryptographic algorithms having enhanced protection mechanisms which fulfill the increased demand for security in cyber-attacks and data exploitation. The main goal of these strategies is …
Published in Journal Of Network security · Vol. 9, Issue 2, 2021 · pp. 28–34 Read article
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Network Intrusion Detection System using Machine Learning and Deep Learning Approach
Abstract: Networks play a significant part in today’s world; fast internet and communication industries result in vast network size and data expansion. Furthermore, attackers aiming to launch various cyberattacks inside the system cannot be neglected. An IDS keeps track of the network’s software and hardware security to preserve its privacy, integrity, and accessibility. Despite the significant efforts of the researchers, current IDS continue to confront challenges in terms of accuracy rate, …
Published in Journal Of Network security · Vol. 10, Issue 1, 2022 · pp. 7–34 Read article
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Machine Learning-Driven Force Analysis for Tool Wear Prediction Systems
Abstract: A system designed to forecast tool wear by utilizing a force sensor to monitor the wear of the tool's flank and applying a Convolutional Neural Network (CNN) for forecasting purposes. The methodology is demonstrated through experiments in milling, utilizing dry machining with a ball endmill on a stainless-steel component. The flank wear of the tool is directly assessed using a digital microscope throughout the operation. The forecasts produced by the …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 3, 2024 · pp. 16–25 Read article
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ECG System based on ATMEGA 16 Microcontroller
Abstract: AbstractOur paper describes the electrocardiography (ECG) monitoring system based on ATMEGA 16 microcontroller. To detect R-peak detection and heart rate monitoring, the authors used ATMEGA 16 microcontroller with inbuilt analog-to-digital (ADC). Our device is low cost and portable, so that it can help in home monitoring of ECG data. The basic aim of our roject is the detection of abnormality or emergency condition, before they prove to be dangerous. ECG …
Published in Journal of Microcontroller Engineering and Applications · Vol. 4, Issue 3, 2017 · pp. 11–15 Read article