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670 articles for “data rate”
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Social Media Analytics for Academic Performance of Students
Abstract: AbstractNowadays social media become the public platform around the world to discuss issues or for getting information, finding friends and many more. It is part for daily life which refers a common activity amongst children, youngsters and emerging adults. Excessive usage of social media may raise the question about the performance of students. Prediction of any event is always fascinating and very important part of the research. In this article, …
Published in Journal of Electronic Design Technology · Vol. 11, Issue 1, 2020 · pp. 21–26 Read article
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Real-time Gas Lift Valve to Enhance Well Performance
Abstract: Optimum production from a gas lift well mainly depends on proper injection gas quantity; injection pressure and depth of injection and gas lift valve performance. The quality of down hole gas lift valves plays a crucial role in achieving maximum efficiency of a gas lift system and uninterrupted oil and gas production. Gas lift valves can aid in the unloading and produce of a well. With the valves properly spaced …
Published in Journal of Petroleum Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 1–10 Read article
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BER Performance of Hybrid 2×8 SCM/WDM System Based on Raman Amplifier
Abstract: AbstractWhen subcarrier multiplexing (SCM) is combined with wavelength division multiplexing (WDM) the resultant hybrid multiplexing strategy can benefit from readily available commercial components. Hybrid SCM/WDM systems are quite useful for LAN and MAN applications. They can provide broadband integrated services to the subscriber. This paper investigates the performance of two module SCM transmitter that consist of eight binary phase shift keying modulated data streams each transmitted at a speed of …
Published in Trends in Opto-electro & Optical Communication · Vol. 6, Issue 1, 2016 · pp. 1–7 Read article
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To Explore the Literature on the Effects of Dry Needling on Muscle Spasticity: A Scoping Review
Abstract: Spasticity is a disabling and sensory motor disorder seen in patients with neurological conditions. Recently, muscle spasticity can be treated by various non-pharmacological procedures, among them dry needling (DN) is an emerging technique to decrease the rate of muscle spasticity. In this review, the literature concerning the efficacy of DN on muscle spasticity was reviewed and discussed from databases such as Pubmed, Google scholar and Cochrane library. The existing evidence …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 5, Issue 3, 2015 · pp. 40–42 Read article
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Stationary Wavelet and Recursive Least Square Filtering Based Fetal ECG Data Extraction from Composite Abdominal Signal
Abstract: This paper introduces a fast methodology for fetal ECG extraction based on stationary wavelet and noise canceler adaptive filter with the recursive least square filter. Firstly, signals are preprocessed by moving averaging filter for removing baseline wander. The stationary wavelet and the recursive least square filter is applied on preprocessed signal that effectively separates the maternal ECG and extracts fetal ECG (fECG) from the abdominal ECG. Finally, fetal ECG(fECG) is …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 46–58 Read article
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Molasses to Ethanol Conversion Processes Overview: Process Simulation of the Beer-Ethanol Distillation
Abstract: The main target of this research is to give an overview of ethanol production and also to investigate the distillation process in a comparative way between the simulation and the lab tests. Different samples at different stages have been measured from the fermentation section to evaluate the ethanol production rate and concentration in each one of the fermenter as well as the PH measurements have been considered over six periods …
Published in Journal of Petroleum Engineering & Technology · Vol. 11, Issue 1, 2021 · pp. 1–16 Read article
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The Role of Pyruvate Dehydrogenase in Non-Alcoholic Fatty Liver Disease: Therapeutic Insights and Future Directions
Abstract: Non-alcoholic fatty liver disorders (NAFLD) are defined by the accumulation of excess fat in the liver that has no other cause, such as drinking alcohol. Pyruvate dehydrogenase has been established as an alternative treatment for this disorder. NAFLD pathogenesis is complex and includes oxidative stress inflammatory processes and mitochondrial dysfunction. Impaired liver fatty acid oxidation and glucose oxidation are significant individuals in developing NAFLD, and strategies to reverse these defects …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 44–51 Read article
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Assessment of the Physical Environment of Child Care Institutions
Abstract: The environment in which orphans live is considered a vulnerability by several international organizations that refer to parentless children as “at risk.” A child care facility accommodates these distressed children who lack parental care, by providing a safe protective environment that contributes to the well-being of the child as well as providing a nurturing environment for their development. All resident children within institutional care have to share not only the …
Published in International Journal of Architectural Design and Planning Read article
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Enhancing Terahertz Patch Antennas: The Role and Impact of Graphene
Abstract: Terahertz (THz) communication systems are gaining increasing attention because of their ability for high-speed wireless data transmission, making them suitable for the 6th-generation wireless applications. Patch antennas, commonly used in these systems, play a crucial role in signal transmission and reception. There are various types of conductive materials available for patch antennas, but the unique characteristics of graphene make it a suitable choice. This study explores the significance and contribution …
Published in Trends in Opto-electro & Optical Communication · Vol. 15, Issue 2, 2025 · pp. 41–51 Read article
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Cybersecurity in Web Automation: A Machine Learning Approach to Lightweight Intrusion Detection
Abstract: Launch-Attack is a lightweight and practical threat-detection framework designed specifically for smaller web-automation environments, including setups that rely on tools such as Selenium. Rather than aiming to replace large enterprise-grade security platforms, the framework focuses on offering an accessible option for developers, testers, and researchers who need real-time monitoring without the heavy resource demands of traditional systems. The model relies on machine-learning techniques implemented through Scikit-learn, enabling it to detect …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 1, 2026 · pp. 34–40 Read article
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AI-Driven Dairy Ledger: Enhancing Efficiency with Machine Learning
Abstract: The dairy business nevertheless has ongoing difficulties with financial management, record-keeping, and operational effectiveness, which frequently lead to resource mismanagement, human mistakes, and revenue losses. These problems are most noticeable on small- to medium-sized farms where manual labor is the primary method. This study introduces an AI-driven Dairy Ledger, a complete machine learning-powered system designed to automate and optimize key dairy functions, such as tracking cow feed orders, managing milk …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 36–46 Read article
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Gamma- and Electron Beam-Induced Crystalline modification in Poly (Lactic Acid): Effects of Radiation Dose and Dose Rate
Abstract: Poly(lactic acid) (PLA) is an important commercial biodegradable polyester whose properties are dictated by its molecular architecture and semicrystalline nature. The application of ionizing radiation particularly gamma rays and electron beams is extensive for sterilization and materials processing. The effect of ionizing radiation on the crystallinity of PLA is complex however, since irradiation causes concurrently chain scission, radical formation, oxidation, recombination and mobility driven structural reorganization. This work studies the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Artificial Intelligence and Machine Learning Approaches for Corrosion Prediction and Management of Steel Reinforcement in Concrete: A Systematic Review
Abstract: Load bearing concrete structures need steel reinforcement bar (rebar), which are prone to attack by the corrosive environment inside the concrete due to constant ingress of moisture, pollutant gases and anions (mainly Cl−, SO42−). In recent models for the potential life span, the causes of failure of concrete structures have been established principally due to the chloride (Cl−) ion, because of the ease in transportation of Cl− in concrete and …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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Some Creep-Rupture Data Analytics as Applied to AISI 310S Superalloy Austenitic Stainless Steel Sheets at Elevated Temperatures and High Applied Stresses
Abstract: Creep-rupture of AISI 301S stainless steel is analyzed at 973-1073K and 40-150MPa. Various creep curves and creep rate curves are compared to understand the effect of temperature and applied load. Creep deformation and creep fracture mechanisms are manipulated from concerned mechanism maps. Creep deformation follows high temperature climb. Creep activation energy so obtained is 345KJ/mol. It is larger than activation energy for self-diffusion in pure FCC iron (that is 270-311kJ/mol). …
Published in Journal of Materials & Metallurgical Engineering · Vol. 9, Issue 2, 2019 · pp. 54–58 Read article
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Enhancing Surface Roughness in the Taguchi Method for Turning Alloy Steel in Wet and Dry Environments
Abstract: The present investigation focuses on evaluating the performance of turning operations in alloy steel with particular emphasis on the effect of cutting parameters on surface roughness. In the machining of alloy steel, tool life and surface integrity are significantly influenced by parameters such as spindle speed, depth of cut, and feed rate. Among these, feed rate has been observed to exert the most prominent effect on surface roughness. To systematically …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 2, 2025 · pp. 1–6 Read article
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Design and Validation of an Artificial Intelligence-Driven Digital Twin for Real-Time Monitoring and Control in Polymer Composite Manufacturing
Abstract: Polymer Matrix Composites (PMCs) have become indispensable in high-performance sectors such as aerospace and automotive engineering, offering exceptional strength-to-weight ratios that outperform traditional metals in many demanding applications. However, the reliability of manufacturing PMCs via Vacuum-Assisted Resin Transfer Molding (VARTM) is frequently undermined by stochastic process variabilities. Unpredictable fluctuations in thermal history, preform permeability, resin rheology, and ambient conditions often lead to some defects; namely voids, dry spots, and incomplete …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 224–233 Read article
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Review Descriptive Programme on Knowledge Regarding Diabetes Mellitus
Abstract: Context: A research study was conducted to assess the knowledge and prevalence of diabetes mellitus among elderly individuals in selected areas of Jalandhar, Punjab. The study also aimed to develop an informative guide sheet. Objectives: (1) To assess the level of understanding about diabetes mellitus among elderly individuals in the selected regions. (2) To determine the prevalence rate of diabetes mellitus among elderly individuals in the selected areas. (3) To …
Published in International Journal of Community Health Nursing And Practices · Vol. 1, Issue 2, 2023 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Study and Thermal Analysis of a Rectangular Duct with Z-shaped Baffle Using Ansys
Abstract: This project aims to enhance heat transfer in a rectangular duct by utilizing Z-shaped baffles. It involves creating a 3D CAD model using SolidWorks and validating it in ANSYS Fluent 2019 R2. The study focuses on analyzing the effect of baffle arrangement, height, and angle on heat transfer rate. Comparative analysis is conducted between rectangular ducts with a 60° angle and heights of 4 mm, 6 mm, and 8 mm. …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 2, 2023 · pp. 14–30 Read article
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Application of Neural Network Analysis to Correlate the Properties of Plasma Spray Coating
Abstract: Thermal spray coatings are more often being demanding process at the recent stages of industrial design processes to become fundamental element of the engineering system. The aim of the present paper is to develop a model-based estimation and control for regulating the coating adhesion strength, by using neural network. This proposed model permits cost reduction by the possibility of adjusting the parameter of the process for each of the desired …
Published in Journal of Materials & Metallurgical Engineering · Vol. 2, Issue 1-3, 2012 · pp. 1–10 Read article