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1034 articles for “performance parameters”
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Optimization and Analysis of InGaAs Vertical Nanowire Transistor for Memory Array Applications
Abstract: In this paper, we present a cylindrical gate all around In 0.53 Ga 0.47 As Vertical Nanowire Transistor (VNWT) on silicon at ultra-shortchannel gate length 14nm by numerical simulation approach. The In 0.53 Ga 0.47 As VNWT device dimensions like diameter, source and drainextension length and channel doping are taken as critical process parameters and optimized for better performance. The proposed device isscalable up-to 10nm with a maximum On-current of …
Published in Journal of VLSI Design Tools and Technology · Vol. 13, Issue 2, 2023 · pp. 32–44 Read article
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Process Performance by optimization of Process Capability Indices for Seal Groove Operation
Abstract: The Correlation between Statistical Process control, Production and Cost Department is the need of today’s organization. Since any Production Industry has almost one of the most important objective that to minimize the cost associated with their product and services. This can be achieved by improving and developing new strategy among these departments. So, it is necessary to study the various parameters of the Statistical Process Control (Process Capability Indices), Production, …
Published in Journal of Mechatronics and Automation · Vol. 5, Issue 2, 2018 · pp. 34–39 Read article
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Hydrodynamic Analysis of Symmetrical Naca Airfoils: A CFD Simulation Approach
Abstract: This study presents a comprehensive numerical investigation of the hydrodynamic characteristics of selected NACA airfoil profiles using advanced computational fluid dynamics (CFD) simulations performed in ANSYS Fluent. The primary objective is to evaluate the fluid–structure interaction behavior of these airfoils when subjected to marine flow conditions relevant to offshore and submerged engineering applications. By modeling the interaction between incompressible fluid flow and various NACA geometries, the study systematically analyzes key …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 31–38 Read article
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Performance Analysis of Deep CNN Architectures
Abstract: A Convolutional Neural Network (CNN) is an artificial neural network renowned for its remarkable ability to handle large image datasets effectively, particularly excelling in tasks such as image recognition and classification. The fundamental structure of a CNN relies on mathematical convolution operations, comprising essential components such as convolutional layers, activation functions, pooling layers, and fully connected layers. These components work synergistically to extract and learn hierarchical features from input data, …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 2, 2024 · pp. 1–8 Read article
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Evaluation of Abrasive Grinding Parameters in Crankshaft Manufacturing
Abstract: Grinding is a metal cutting operation performed by means of rotating abrasive tool, called “Grinding wheel”. Grinding is done on surface of almost all conceivable shapes and materials of all kinds. In grinding, it is possible to achieve very accurate dimensions and smoother surface finish in a very short time and it is only a method after hardening. High temperature to the tune of the 1000 to 1400°C is usually …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 13–15 Read article
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Evaluation of Abrasive Grinding Parameters in Crankshaft Manufacturing
Abstract: Grinding is a metal cutting operation performed by means of rotating abrasive tool, called “Grinding wheel”. Grinding is done o surface of almost all conceivable shapes and materials of all kinds. In grinding it is possible to achieve very accurate dimensions and smoother surface finish in a very short time and it is only a method after Harding. High temperature to the tune of the 1000 degree Celsius to 1400 …
Published in Trends in Machine design · Vol. 7, Issue 1, 2020 · pp. 28–33 Read article
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Representation-Theoretic Symmetry Reduction and Fuzzy-Grey Optimization of Modular Vibration Systems
Abstract: This paper presents a representation-theoretic framework for symmetry-aware vibration control in modular structural systems. Exploiting cyclic symmetry, the mass, damping, and stiffness operators are block-diagonalised into irreducible representations, reducing the full structural dynamics to a collection of lower-dimensional modal subsystems. This decomposition provides both computational efficiency and a rigorous mathematical description of symmetry-preserving dynamic behaviour. To account for imperfections arising in practical implementations, near-symmetry defects in stiffness and damping are …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 22–30 Read article
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Performance Analysis of CMOS and FinFET Based SRAM
Abstract: As CMOS devices are scaled to nanometer regime, the consequences such as short channel effects and variations in the process parameters are increased which affects the reliability and performance of the circuit. In order to over these issues, FinFET can be used as a suitable replacement for CMOS as it is a promising and better technology without sacrificing the reliability and performance of the applications and the circuit design. In …
Published in Journal of VLSI Design Tools and Technology · Vol. 8, Issue 3, 2018 · pp. 23–27 Read article
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Computational Intelligence and Neuro-Fuzzy Modelling of Polymer Composites: A Critical Review of Performance Prediction and Optimization
Abstract: The increased variety in polymer matrices, reinforcements, fillers, and processing parameters has led to the need to better understand the structure-property, process-property relationships in order to accurately predict and optimize the performance of polymer composites. This paper reviews the applications of computational intelligence methods in polymer composites, with special focus on artificial neural networks, adaptive neuro-fuzzy inference systems, machine learning techniques, and hybrid optimization. The literature is analyzed based on …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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The Integrity of Eadic-Hofstee Plot Model to Predict the kinetic Parameters of Crude Oil Degradation using Vernonia amygdalina Stem
Abstract: The integrity of Eadic-Hofstee concept was tested for the determination of the functional coefficients and parameters of crude oil degradation kinetics. The techniques enhanced the relationship between the substrate divided by the specific rate of the substrate degradation against substrate concentration (TPH). The investigation reveals the values of the biokinetic parameters of maximum specific rate of substrate degradation (Vmax) and the equilibrium constant values of the substrate degradation (Ks). The …
Published in Journal of Petroleum Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 37–47 Read article
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Role of Polymer and Composite Materials in Enhancing Durability and Comfort of Urban Park Furniture for Senior Citizens
Abstract: Parks in urban areas are crucial in facilitating physical activities, socialization, and or mental health to the elderly citizens. Nonetheless, the traditional materials in outdoor park furniture may suffer in the form of low durability, weathering, ergonomics and maintenance, among other aspects and restrict long term applications of such furniture by the elderly population. The research question examined in the proposed study is: How can polymer-based and composite materials improve …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 297–311 Read article
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Performance Evaluation of an Academician using Fuzzy Logic: Student’s Perspective
Abstract: AbstractCurrent literature and common practice suggest that there is no consistent method available to compute the performance of an academician. So, this research work aims to find the quality of an academician from student’s point of view depending upon various quality factors like knowledge, knowledge delivery, communication skills etc. An expert system based on fuzzy logic has been designed to accept inaccurate and vague values of the parameters on which …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 35–50 Read article
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Synthesis of A Supercapacitor Based on Nanomaterials
Abstract: Demand for various energy storage technologies in electronic and electrical devices continuously goes on increasing. In that context, objective of this research work is to develop and test an electrode of a energy storage module (supercapacitor) using nickel hydroxide and carbon-based nanocomposite materials. Electrochemical performance of electrode is enhanced by optimizing synthesis parameters and designing the electrochemical cell. Conventional and all solid-state supercapacitors are developed with notable electrochemical performance. Pure …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 24–39 Read article
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ANN Controlled Plasma Spray Process by using Industrial Waste
Abstract: Plasma spray coating process has become a subject of intense research because it becomes an affordable solution for many industrial applications. The present work aims at developing and studying the industrial wastes (Flay-ash powder mixture) as the coating material, which is to be deposited on Mild Steel and Cupper substrates. To increase the coating deposition efficiency and to decrease the cost of coating process, one of the artificial intelligence (AI) …
Published in Journal of Materials & Metallurgical Engineering · Vol. 3, Issue 3, 2013 · pp. 1–6 Read article
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Electric vehicle parameters estimation using Web portal
Abstract: The shift to electric vehicles (EVs) requires precise parameter estimate, which is essential for comprehending EV performance and enhancing user experience. The concept and execution of a web portal for evaluating important electric car parameters are presented in this article. Without the need for specific software or knowledge, the portal provides a user-friendly platform for individuals and companies to learn about the characteristics of electric vehicles. The website makes it …
Published in Recent Trends in Electronics Communication Systems · Vol. 10, Issue 3, 2023 · pp. 1–6 Read article
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Implement Artificial Intelligence and Machine Learning for Engineering Design, Predictive Modeling, and Optimizing Polymer Nanocomposites
Abstract: Polymer nanocomposites are high performance engineered materials obtained by inclusion of nano-sized fillers into the polymer matrix to enhance mechanical, thermal, electrical, barrier and functional properties. However, the complex and non-linear interactions among polymer chemistry, nanofiller characteristics, filler concentration, dispersion, interfacial bonding and processing conditions make it challenging to anticipate and maximize their properties. Artificial intelligence (AI) and machine learning (ML) offer powerful data-driven solutions to these difficulties by establishing …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Factors Affecting Shear Stress on Tablet Hardness and Disintegration
Abstract: The quality and effectiveness of pharmaceutical tablets depend heavily on several factors influencing shear stress on tablet hardness and disintegration. These factors include formulation composition, wherein the selection and concentration of excipients and active ingredients affect how the tablet material responds to shear stress. Additionally, the compression force, speed, and duration during tablet compression are critical, impacting tablet hardness and disintegration properties. Tablet geometry and design, along with tablet press …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 1–19 Read article
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Simulation and Analysis of Battery Pack Using the Multi Scale Multi-Domain Battery Model
Abstract: The creation of sophisticated simulation models has been made necessary by the need for reliable and effective battery packs in energy storage systems and electric vehicles. This study focuses on the simulation and analysis of battery packs using a multi-scale multi-domain battery model. The model enables a thorough knowledge of battery pack behavior across a range of operating situations by integrating the electricity, thermal, and mechanical domains. Multi-scale modeling bridges …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 2, Issue 2, 2024 · pp. 31–46 Read article
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Development and Investigation of Minimum Power Non-contact Swirl Vane Gripper
Abstract: The Swirl vane gripper is a new non-contact gripper, which uses negative pressure created by the air swirling flow to create an upward lifting force. This upward force can be used to lift an object, which is placed underneath the gripper. In comparison with other non-contact grippers, this gripper is electrically actuated (rather than pneumatically) and hence require less power to generate same lifting force as produced by other grippers. …
Published in Trends in Electrical Engineering · Vol. 8, Issue 3, 2018 · pp. 28–34 Read article
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A Novel Design for High Speed & Area Efficient Compressor Based Vedic Multiplier
Abstract: Multipliers are the most important part in any arithmetic and logic unit, AbstractMultipliers are the most important part in any arithmetic and logic unit, accumulators and digital signal processors. Due to the increasing constraints on delay, the design of faster multipliers is emphasized. Among several multipliers, Vedic multipliers are preferred for their speed of operation. Here the proposed Vedic multiplication techniques are based on “URDHVA TIRYAKBHYAM” a fast and efficient …
Published in Journal of Microelectronics and Solid State Devices · Vol. 5, Issue 3, 2018 · pp. 1–10 Read article