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462 articles for “Operation parameters”
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Simulation of Neural Network based PID Controller for Pressure Process
Abstract: This paper provides a Neural Network PID controller based on Back Propagation (BP) algorithm applied to pressure control in a tank. The controller has many advantages like that more convenient in parameter regulating, better robust. Neural network is to adjust the parameters of PID controller based on the operational status of the system, to achieve a better performance, making the output of the output neurons corresponding to the three adjustable …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 1, 2013 · pp. 23–27 Read article
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Design and Implementation of smart Grocery Packaging System
Abstract: The increasing demand for speed, accuracy, and cost efficiency in retail operations has accelerated the adoption of automation technologies in grocery packaging systems. Traditional grocery packaging methods rely heavily on manual labor, which often leads to errors in quantity measurement, inconsistent packaging quality, increased labor costs, and slower processing times. To address these challenges, this work presents the design and implementation of a smart automated grocery packaging system aimed specifically …
Published in Trends in Mechanical Engineering & Technology · Vol. 16, Issue 1, 2026 · pp. 46–52 Read article
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Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
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A Survey on Cognitive Radio Ad Hoc Network Architecture
Abstract: Cognitive radio ad hoc networks (CRAHNs) represent an innovative paradigm in wireless communication, leveraging the dynamic spectrum access capabilities of cognitive radios (CRs) to enhance network performance and spectrum efficiency. The architecture of CRAHNs integrates cognitive radio capabilities with ad hoc networking principles, enabling devices to manage spectrum resources autonomously and intelligently in a decentralized manner. This abstract outlines the key components and functionalities of CRAHN architecture, highlighting its potential …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 1–7 Read article
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Development of a Novel Analytical Framework for Investigating Non-Symmetric Deformation Behavior in Strip Rolling
Abstract: In recent years, the asymmetrical rolling process has attracted considerable research attention due to its ability to induce non-uniform deformation characteristics within metallic workpieces. In this context, the present study introduces a novel analytical framework for asymmetrical cold rolling based on an enhanced slab method, specifically designed to overcome the inherent limitations of existing analytical models when applied to a wide range of asymmetric rolling conditions. A newly developed mathematical …
Published in Journal of Experimental & Applied Mechanics · Vol. 17, Issue 1, 2026 · pp. 1–21 Read article
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Microvita as a Fermi-Boson Hybrid Quantum Excitation: A Statistical Pathway Toward Unified Physics, Chemistry, and Biological Organization
Abstract: This article reformulates Microvita as a hybrid quantum excitation that interpolates continuously between fermionic and bosonic statistical behavior. A generalized operator algebra, a dynamical statistical order parameter, and a Lorentz-covariant field equation are used to frame Microvita as an effective unification scheme rather than a mere philosophical construct. The formalism predicts renormalization-group flow between infrared fermionic and ultraviolet bosonic limits, while numerical profiles suggest vacuum-energy smoothing and topological-defect suppression in …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 1, 2026 · pp. 115–122 Read article
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Polymer-Based Nanocomposite Coatings for Enhancing Solar Photovoltaic Panel Efficiency
Abstract: Environmental factors such as dust deposition, ultraviolet (UV) radiation, and surface reflection significantly reduce the performance of solar photovoltaic (PV) modules. This study investigates the development and performance evaluation of polymer-based nanocomposite coatings designed to improve the optical and surface properties of PV panel glass. A hybrid nanocomposite coating containing TiO₂ and SiO₂ nanoparticles dispersed in a polymethyl methacrylate (PMMA) matrix was synthesized using the sol–gel technique and deposited through …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 490–497 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Wearable Computer Vision based Human Assistance System using Android 4.0.3 ICS Operating System
Abstract: This paper describes a well defined and improved system for the human assistance, based on wearable computer vision using Android ICS operating system. The information is traditionally confined to paper or digitally to a screen; in contrast the proposed system introduces an Android tablet based wearable gestural interface to attempt for bringing information out into the tangible world. The system provides an extension to existing gesture interface system by integrating …
Published in Current Trends in Signal Processing · Vol. 3, Issue 1, 2013 · pp. 32–38 Read article
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Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Analysis of Fractal based Nested Geometries Built on Design Configurations
Abstract: AbstractFractal antenna based on the nested geometries are proposed and designed in this letter. The paper depicts the design optimization of the nested geometries for multi-rate characteristics. The antenna is fed by waveguide port. The design is obtained at the center frequency 3.5 GHz. Moreover the effect various nested elements have been observed in the geometry. The modification in geometry is introduced using pentagonal elements of the patch. The enhancement …
Published in Journal of Communication Engineering & Systems · Vol. 4, Issue 3, 2014 · pp. 9–17 Read article
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Performance Assessment of External Source-Driven Binary Vapor Cycles with Ammonia-Water and Trans-Critical CO2: The Impact of Reheating and Pressure Variations
Abstract: This study examines the thermodynamic performance of binary vapor cycles, specifically analysing two working fluid combinations: ammonia-water mixtures and trans-critical carbon dioxide (CO2). The study aims to evaluate their efficiency, applicability, and potential for improving energy conversion systems in various thermal applications. The analysis investigates how incorporating reheating processes and adjusting operating pressures impact system performance. These two parameters play a critical role in enhancing cycle efficiency and maximizing energy …
Published in Journal of Thermal Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 42–49 Read article
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A Particle-Derived Nonlinear Dynamical Framework for Bubble Oscillations: Reduced-Order Modeling, Bifurcation Analysis, and Optimal Stabilization
Abstract: Particle-based fluid simulation has emerged as a powerful computational framework for modeling complex multiphase flows involving large deformations, moving interfaces, and nonlinear fluid interactions that challenge conventional mesh-based approaches. In this work, a nonlinear dynamical systems framework is developed for particle-resolved bubble oscillations by constructing a reduced-order model that preserves the dominant physical mechanisms governing bubble interface evolution. The formulation represents the bubble dynamics through coupled radial and shape deformation …
Published in Recent Trends in Fluid Mechanics · Vol. 13, Issue 2, 2026 · pp. 11–33 Read article
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PREDICTIVE MAINTENANCE IN SEMICONDUCTOR SYSTEMS: INSIGHTS FROM MACHINE INTELLIGENCE AND DATA-DRIVEN METHODS
Abstract: With the fast-paced development of semiconductor technology comes the need to focus on device reliability, or how long devices will function and the likelihood of devices having operational issues. Predicting failures and avoiding downtime with the implementation of timely, actionable, and data-driven maintenance strategies are essential to insure devices function sustainably within predetermined performance levels. The implementation of predictive maintenance within artificial intelligence and machine learning technologies will provide the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 · pp. 1–9 Read article
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Comparative Analysis of P, PI, and PID Controllers Based on Time Domain Specifications
Abstract: In this research, proportional (P), proportional-integral (PI), and proportional-integral-derivative (PID) controllers utilized in control systems are thoroughly compared. The study attentions on assessing system presentation with time-domain specifications such as rise time, settling time, overshoot, and steady-state error. Mathematical modeling and controller design are discussed, shadowed by analytical comparison. The results establish that while P and PI controllers offer simplicity, PID controllers provide superior performance in terms of stability and …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Optimization of Process Parameters for ABS, Nylon, Polypropylene Material in Injection Molding Using Taguchi Method
Abstract: The process of plastic injection molding (IMP) itself is a multifarious of time, temperature and pressure variables with a profusion of manufacturing defects that can occur without upright fusion of processing parameters and design components. Ascertaining the reform foremost process parameter settings commentative dominates productivity, quality, and costs of production in the plastic injection molding industry. Most plastic injection molding industries are using trial-and-error method/approximation method, based on experience of …
Published in Trends in Mechanical Engineering & Technology · Vol. 11, Issue 3, 2021 · pp. 1–9 Read article
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Evaluation of Reliability in Five-Phase Induction Motor Operated at Low Speed by V/F Control Method using FPGA
Abstract: AbstractThis paper presents the study of performance and reliability evaluation of five-phase induction motor by finding various parameters in the induction motor. Induction motors have increased demand for low cost and size, simple construction, least maintenance, operational simplicity and brush-less construction with cage rotor. Industrial applications demand high efficiency, and reliable and long life-time electrical machines. The fault modes of induction machines are very complex; many researchers are plagued to …
Published in Journal of Power Electronics and Power Systems · Vol. 4, Issue 2, 2014 · pp. 56–61 Read article
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Effect of vehicle composition on signalized intersection capacity
Abstract: For the design of signalized intersections, capacity is the most critical parameter used. Proper capacity assessment plays an important role in deciding the degree of operation. In order to estimate capacity, the saturation flow rate must be assessed by considering the parameters affected. The main objective of the present study is to identify the impact of the composition of the vehicle and the effect of the time taken to cross …
Published in Trends in Transport Engineering and Applications · Vol. 8, Issue 3, 2021 · pp. 1–7 Read article
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To Optimize the Efficiency of Bottle Sleeving Machine by Reducing Systematic Errors
Abstract: Bottle sleeving machines are the machines use to label and sleeving the caps to the bottle. To gain the mass production and to improve the efficiency of this machine our team decided to change the parameters and proper alignment of few parts in machine. Previously, there were several errors include like systematic errors. Firstly, we change the sensors positioning to get successive operation of sleeves to the bottle. There were …
Published in Journal of Production Research & Management · Vol. 12, Issue 2, 2022 · pp. 23–29 Read article
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Analysis of Engine Performance and Exhaust Emission Characteristics of VCR Engine Fuelled with Different Blends of Jatropha Biodiesel
Abstract: With the concern to global environment issues, researchers are encouraged to find alternate for scarce and rapidly diminishing fossil fuels. From the variety of options, fuels obtained from vegetable oils or animal fats have proven better alternate for petroleum fuels. Having its roots in agriculture, vegetable oils are capable to minimize overall СO addition to the atmosphere. Due to higher viscosity and low volatility compared to petroleum diesel, neat vegetable …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 31–44 Read article