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1033 articles for “performance parameter”
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Bio-ethanol Production and Heavy Metal Lead (Pb) Removal Using Macro Algae Wolffia
Abstract: This study was aimed to evaluate the potential of using macro algae Wolffia for bio-ethanol production and for heavy metal Lead (Pb) biosorption. Macro algae Wolffia was collected locally from a pond. Pretreatment was given by using 1 and 10% sulphuric acid (H2SO4) to different batches of Wolffia. Fehling’s test was performed to check the presence of sugar. For the fermentation step Saccharomyces cerevisiae strain was used. Yield obtained using …
Published in Journal of Catalyst & Catalysis · Vol. 2, Issue 3, 2015 · pp. 23–39 Read article
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The Transient Performance of Power Line Towers
Abstract: This paper presents a refined approach to the transient analysis of power line towers. Each section of the tower’s steel structure is accurately modeled as a non-uniform transmission line. Among other features, an efficient representation of the towers’ cross-arms as open-ended non-uniform lines and their subsequent approximation by lumped capacitors will be explored. Furthermore, the error introduced by neglecting the presence of the cross-arms, as well as the effect of …
Published in Trends in Electrical Engineering · Vol. 3, Issue 2, 2013 · pp. 20–28 Read article
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Activity Quantification of Lu-177 SPECT/CT Imaging for Calibration Factor Analysis in Clinical Radionuclide Dosimetry
Abstract: Purpose: To evaluate the calibration factor (CF) at three-time points with the same protocol & acquisition parameters for the images of Lu-177 activity, scanned by two different SPECT/CTs (GE & MEDISO) using a cylindrical Jaszczak phantom with cold inserts, filled with uniform activity in water and to analyze the changes in the calibration factor data with time. The purpose of the study is to quantitatively analyze the first step (calibration …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 9–22 Read article
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Money Laundering Transaction with Machine Learning
Abstract: This study discusses the use of machine learning algorithms to discover firms that are prone to money laundering. The purpose of this research is to develop, describe, and test a machine learning model for determining which bank transactions should be physically scrutinized for money laundering activities. To train a supervised machine learning model, three categories of historical data are required: legitimate "normal" transactions, transactions flagged as suspicious by the bank's …
Published in Current Trends in Information Technology · Vol. 14, Issue 2, 2024 · pp. 1–15 Read article
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A Low Power Low Voltage High Performance CMOS Current Mirror with Improved Output Impedance
Abstract: The current mirrors are very useful in the designing of mixed mode and analog circuits. A high performance CMOS current mirror with high output impedance and a small power supply close to the threshold voltage of the transistor are presented in this paper. For achieving the high output impedance, an additional transistor is used at the output section of the current mirror. This additional transistor will improve the output impedance …
Published in Journal of Microelectronics and Solid State Devices · Vol. 3, Issue 1, 2016 · pp. 14–19 Read article
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Experimental Investigation of Influence of Key-shape Variation on Discharge Capacity of Piano Key Weir
Abstract: The piano key weir is a nonlinear free flow type weir with small foundation width. There are many geometrical parameters which influence the discharge capacity of the piano key weir. As in Labyrinth weir, the piano key weir is zigzagged in a plan to increase the crest length. Overhanging on both sides reduces the foundation width of such weir. To investigate the effects of key-shape variation of piano key weirs …
Published in Journal of Water Resource Engineering and Management · Vol. 3, Issue 3, 2016 · pp. 44–49 Read article
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Activity Quantification of Lu-177 SPECT/CT Imaging for Calibration Factor Analysis in Clinical Radionuclide Dosimetry
Abstract: Purpose: To evaluate the calibration factor (CF) at three-time points with the same protocol & acquisition parameters for the images of Lu-177 activity, scanned by two different SPECT/CTs (GE & MEDISO) using a cylindrical Jaszczak phantom with cold inserts, filled with uniform activity in water and to analyze the changes in the calibration factor data with time. The purpose of the study is to quantitatively analyze the first step (calibration …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 2, 2024 · pp. 9–22 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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Computational Fluid Dynamics and Composite Material Study on Scoop-Type Savonius Turbine for Train-Based Energy Generation
Abstract: This study investigates the feasibility of integrating a scoop-type savonius vertical-axis wind turbine (VAWT) on the rooftop of a moving train to generate renewable onboard power. The motivation stems from increasing demands for sustainable energy solutions and reducing reliance on fossil fuels, particularly in transportation. A two-blade savonius turbine, with dimensions of 0.4 m in diameter and 0.5 m in height, was modeled in PTC Creo Parametric 3.0 and analyzed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 566–580 Read article
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Review on Severe Plastic Deformation Techniques for Bulk Materials: Deformation Behavior and Properties
Abstract: This paper presents a detailed review of the efficient application of Severe Plastic Deformation for the fabrication of ultra-fine-grained and nanostructured crystalline bulk materials. Severe Plastic Deformation allows substantial grain refinement while largely preserving the original dimensions of the workpiece, making it especially suitable for ductile materials capable of sustaining very high strains under elevated hydrostatic pressure prior to failure. The study investigates the grain refinement mechanisms involved in Severe …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 40–72 Read article
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Blockchain Technology: Systematic Review of Security and Privacy Problems and Its Scope with Cloud Computing
Abstract: The Blockchain is a mutual, disseminated record that encourages the process of account exchanges and following resources in a business organization. Blockchain empowers parties who do not completely confide in one another to keep up a lot of worldwide areas. It is a system comprised of transactions, immutable ledgers, decentralized peers, encryption processes, consensus mechanisms, optional smart contracts. It is a digital innovation which is meant to drastically alter financial …
Published in Journal Of Network security · Vol. 7, Issue 1, 2019 · pp. 1–6 Read article
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Digital Twin-Driven Structural Health Monitoring and Energy Management of IoT-Enabled Energy-Storing Polymer Composites Using Explainable Machine Learning
Abstract: Energy storing polymer composites are widely utilized in intelligent structural systems, because of their mechanical and electrochemical properties. But, under varying thermo-mechanical and environmental conditions, it is important to have accurate degradation monitoring for real-time industrial process is challenging. In this work, an explainable machine-learning framework for structural health monitoring and adaptive energy management of polymer composites with energy storage capacity is proposed in an IoT environment with the help …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Design and Performance of Semiconductor-Biosensor
Abstract: In this work, a high electron mobility transistor (HEMT) based biosensor is designed to detect the virus-protein. In this work, all the simulation-studies are carried out in the SILVACO-ATLAS physical simulator using the following models: Shockley Read Hall (SRH), band gap narrowing, Auger recombination, and Fermi Dirac statistics. Newton trap numerical solver is used in the device simulation. Conduction band engineering of the biosensor is studied. DC and RF properties …
Published in Journal of Semiconductor Devices and Circuits · Vol. 8, Issue 2, 2021 · pp. 1–13 Read article
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IoT-Enabled Monitoring of AC Condensate Water for Quality Assessment and Early Detection of HVAC System Health
Abstract: The shortage of water and expensive reactive maintenance of HVAC are major problems in the modern building management. The paper introduces an Internet of Things (IoT)-enabled air conditioning (AC) condensate to water resource (predictive maintenance) and sustainable water reuse. The nature of our approach defines the quality of the condensate water at the baseline and indicates that it contains low levels of total dissolved solids (TDS) and has almost neutral …
Published in Journal of Instrumentation Technology & Innovations · Vol. 16, Issue 1, 2026 · pp. 25–35 Read article
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Investigation of Robotic Transverse Twin-Wire GMAW for Large-Scale Wire-Arc Additive Manufacturing Applications
Abstract: Bulk metal additive manufacturing using wire-arc processes has gained significant attention for fabricating large-scale engineering components due to their high deposition rate and material efficiency. In this study, the feasibility and performance of robotic transverse twin-wire gas metal arc welding (GMAW) for bulk wire-arc additive manufacturing (WAAM) is systematically assessed. The research focuses on understanding arc stability, weld bead characteristics, and process–product relationships under high-deposition conditions. Welding current signals from …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 4, Issue 1, 2026 · pp. 36–50 Read article
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Analysis of Sound Transmission Loss in Hybrid Mufflers for Automotive Applications
Abstract: An exhaust system's noise level can be reduced with the use of a muffler. There is general recognition that baffled exhaust mufflers reduce noise emissions and increase the loss of sound transmission. The reduction of sound transmission can be further achieved by inserting sound-absorbing materials inside the muffler. Exhaust muffler systems with strategically positioned baffles have been shown to effectively reduce noise emissions, thereby improving acoustic performance. Baffles divert and …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 314–322 Read article
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Deflection Analysis of the Leaf Spring Suspension System with the Combination of Helical Springs
Abstract: An efficient and optimized leaf spring suspension system for heavy vehicles must have low deflection but good damping capacity of absorbing shocks and jerks. In this research article, deflection analysis of a modified leaf spring suspension system with the combination of helical spring model is presented. To furnish this end, in the typical leaf spring suspension system model, a helical spring at each side of the master leaf is incorporated. …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 21–30 Read article
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Biopolymer-Based Nanoparticles: Advances in Fabrication, Characterization, and Biomedical Applications
Abstract: The emergence of biopolymer-based nanoparticles, particularly those composed of proteins and polysaccharides, has significantly transformed the landscape of biocompatible and biodegradable materials. These nanoparticles offer immense potential due to their ability to facilitate encapsulation and targeted delivery of bioactive compounds, enhancing therapeutic efficacy while minimizing side effects. This review explores the various fabrication techniques, including emulsification, desolvation, coacervation, and electrospray drying, emphasizing their advantages and limitations. The characterization of nanoparticles …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 3, Issue 1, 2025 · pp. 38–46 Read article
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Application-Driven Rule-Based Framework for Lubrication Failure Modes in Industrial Systems
Abstract: Modern lubricants increasingly rely on polymer-based composites, integrating synthetic base oils, polymer thickeners and solid additives like MoS₂ and PTFE for high-performance applications. These formulations not only enhance thermal and mechanical stability but also enable low-friction operation across diverse industrial conditions. Lubrication-related failures represent a critical cause of unplanned downtime and reduced reliability in industrial machinery. This paper presents an application-driven, rule-based framework designed to assess and mitigate lubrication failure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 522–531 Read article
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Superplasticity Behavior of Aluminium Alloys Through FSP: A Review
Abstract: Friction Stir Processing (FSP), an advanced modification of Friction Stir Welding (FSW), has emerged as a highly effective technique for fabricating surface composites with superior mechanical and metallurgical properties. FSP enhances the microstructure and superplastic behavior of materials, particularly aluminium alloys, by subjecting them to high strain rates at relatively low temperatures. This review paper critically examines the development and optimization of FSP for aluminium alloys, emphasizing key factors such …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 65–77 Read article