Search
893 articles for “parameters optimization”
-
HFSS-Based Helix Antenna Design Optimization and Simulation
Abstract: This project uses HFSS (High-Frequency Structure Simulator) to simulate, develop, and analyze the performance of a helix antenna for (a particular purpose, such as broadband wireless or satellite communication). Because of their distinctive structural characteristics, helix antennas are well-suited for a variety of high-frequency applications by balancing compactness, high gain, and wide bandwidth. In this work, we parametrically analyze important design parameters including pitch, radius, number of turns, and wire …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 1, 2025 · pp. 29–35 Read article
-
Control of BLDC Motor using Fractional-order PID Controller Optimized by ICA
Abstract: In this paper a new method for speed control of BLDC motors is proposed. In this method, fractional order PID (FOPID) is used for control of BLDC motor. In order to determine the parameters of FOPID controller imperialist competitive algorithm (ICA) is employed for its high speed and accurate for solve of optimization problems. In order to verify the performance of proposed controller, some simulations have been carried out with …
Published in Journal of Power Electronics and Power Systems · Vol. 3, Issue 3, 2013 · pp. 27–38 Read article
-
Optimizing Sampling Techniques Using Fuzzy Set Theory: A Comprehensive Approach
Abstract: Sampling is a critical process in statistics, used to estimate population parameters without needing to examine the entire population. Traditional sampling methods, such as simple random sampling, stratified sampling, and cluster sampling, face limitations when applied to complex or heterogeneous populations with imprecise boundaries. These methods often fail to accurately represent populations with overlapping characteristics or missing data, resulting in sampling bias and reduced accuracy. To address these challenges, this …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 12, Issue 1, 2025 · pp. 29–43 Read article
-
A Comparative Study of Oven, Spouted Bed, and Convective Tunnel Drying Methods of Mango for Oil Production
Abstract: Mango seeds, with a high moisture content exceeding 70% (wet basis) require effective drying methods to ensure their preservation and to enhance the quality of derivative products like mango seed oil. Proper drying is essential to inhibit enzymatic activity and microbial growth, which extends the shelf life of these seeds. This study investigates multiple drying techniques, including conventional oven drying, spouted bed drying, and convective tunnel drying, to determine their …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 1, 2025 · pp. 15–19 Read article
-
Behaviour of Irregular Concrete Buildings under Seismic Forces
Abstract: The study of irregularities in a building is a fundamental parameter controlling the seismic response of buildings. From the past history of earthquakes, it is evident that the use of improper structural configurationswith plan irregularities and soft storeys has decisive effects on the seismic performance of buildings. The buildings with abrupt changes in storey stiffness have uneven lateral force distribution along the height, whichis likely to locally induce stress concentration. …
Published in Recent Trends in Civil Engineering & Technology · Vol. 1, Issue 1-3, 2011 · pp. 8–19 Read article
-
Production of Particle Board from Cotton Stalk
Abstract: The cotton stalks are normally disposed of by burning, which contributes to the emission of harmful greenhouse gases which pollute the environment. This study used cotton stalk for the production of particle board. The study includes collection and preparation of cotton stalk, analyzing using the ASTM method and its morphological structure, determination of proximity and chemical compositions to compare with hardwood characteristics and production of cotton stalk particle board (CSPB) …
Published in Emerging Trends in Chemical Engineering · Vol. 7, Issue 3, 2020 · pp. 23–33 Read article
-
Screening of Pharmaceutically Significant Methioninase-Producing Fungi from the Satpura Range of Hoshangabad District and Its Large-Scale Production
Abstract: L-methioninase, an enzyme with notable anticancer properties, has emerged as a promising therapeutic agent due to its ability to selectively degrade methionine, a critical amino acid for the survival of methionine-dependent cancer cells. Methionine dependency, observed in many tumor cells, is a metabolic vulnerability that can be exploited for targeted cancer therapy. The Satpura Range in the Narmadapuram District, India, with its diverse microbial ecosystems, offers a rich reservoir for …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 2, 2025 · pp. 33–43 Read article
-
Advancements in Nanotechnology and Biosensor Integration for Detection and Treatment of Alice in Wonderland Syndrome
Abstract: Alice in Wonderland Syndrome (AIWS) is an uncommon neurological condition characterized by profound distortions in perception. Individuals with AIWS experience altered body image and spatial awareness, often perceiving objects, surroundings, or even their own body as being unusually large, small, or distorted. The condition presents a unique challenge for both diagnosis and management due to its elusive and varied symptoms. This paper explores how advancements in nanotechnology and biosensor integration …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 26, Issue 3, 2024 · pp. 1–12 Read article
-
Solar-Powered Electric Vehicle Charging Station Enhanced by IoT Integration
Abstract: This project introduces a solar-powered electric vehicle (EV) charging station that incorporates Internet of Things (IoT) technology to enhance monitoring and operational contr While the integration of solar energy for renewable power generation is promising, the real-time solar voltage monitoring system raises questions about the overall efficiency and dependability of solar energy under variable environmental conditions. The automatic detection of a vehicle’s position over the wireless charging coil, eliminating manual …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 23–32 Read article
-
Model Predictive Control for a Distillation Column Model
Abstract: Model Predictive Control (MPC) is a multivariable control (requires specific handling of each input as coupling and interaction is of a far greater effect) and uses the internal dynamic model of the process, past control moves and an optimization cost function over the receding prediction horizon, to calculate the optimum control moves. In this paper, the relation between MPC parameters was studied on process constraints. Conical tank level single-input-single-output (SISO) …
Published in Journal of Mechatronics and Automation · Vol. 1, Issue 3, 2014 · pp. 11–19 Read article
-
Characterizing L-Band EDFA for WDM Optical Communication using Implicit Analytical Model
Abstract: ABSTRACT In this paper, some of the significant design parameters of L-band EDFA such as choice of optimum pump wavelength, optimum erbium-doped fiber (EDF) length, and optimum pump power have been characterized by solving implicit analytical signal gain equation using simulation as derived for C-band EDFA by F. F. Rühl. After determining optimum pump wavelength, optimum pump power and optimum EDF length, performance of L-band signal amplification has been shown …
Published in Trends in Opto-electro & Optical Communication · Vol. 2, Issue 3, 2012 · pp. 8–16 Read article
-
Molecular Transport Kinetics of Non-Polar Solvents Through AGNP Filled EPDM Elastomeric Composites
Abstract: EPDM Based rubber composites can be used in tank and pipe lining works. In these applications one of the major requirements is that the composite must have good fluid permeability and chemical degradation resistances in their working environment. In order to enhance the performance of EPDM rubber to suit these applications, scientists and engineers are trying to develop novel nanocomposites by incorporating nano fillers. In the present work, to ensure …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 993–1006 Read article
-
Machine Learning-Based Task Scheduling and Resource Optimization in Edge-IoT Systems
Abstract: The rapid expansion of Internet of Things (IoT) applications has introduced significant challenges in managing computational workloads across distributed edge environments. Edge- IoT systems are characterized by limited computational capacity, dynamic task arrivals, and strict latency constraints. Traditional heuristic-based scheduling techniques often fail to adapt to fluctuating workloads and heterogeneous resource availability. This study proposes a machine learning-based task scheduling and resource optimization framework for Edge-IoT systems. The proposed model …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
-
Rainfall-runoff Modeling using HEC-HMS Hydrologic Model for Guder River Watershed, Blue Nile Basin, Ethiopia
Abstract: Rainfall-runoff modeling is important for a number of hydrologic applications including flood forecasting, water resource planning and management. This study presents the result of a watershed rainfall-runoff modeling for Guder river watershed having area of 6597 km 2 using Hydrologic Engineering Center-Hydrologic Modeling Systems (HEC-HMS). The watershed runoff is varying spatially and temporally due to manmade factors and natural factors on the watershed. These issue needs efficient water resource planning …
Published in Journal of Water Resource Engineering and Management · Vol. 8, Issue 2, 2021 · pp. 62–77 Read article
-
A Sustainable EOQ Model for Declining Products Incorporating Cubic Demand, Variable Deterioration, Partial Backlogging, and Carbon Emission Optimization
Abstract: In this paper proposes a sustainable Economic Order Quantity (EOQ) model for inventory systems involving decaying items under cubic time-dependent demand, variable decaying rates, and partial backlogging while absolutely considering carbon emission costs. The model reflects practical market actions where demand initially increases and afterwards declines over time, and decay depends on the age of the item. To demonstrate the current model's applicability as well as evaluate the trade-off between …
Published in International Journal of Industrial and Product Design Engineering · Vol. 4, Issue 1, 2026 · pp. 20–28 Read article
-
Investigation of Areca Stem and Banana Stem fibre Hybrid Composites for Improved Strength and Sustainable Applications
Abstract: Research on natural fibre reinforced polymer composites as eco-friendly substitutes for traditional synthetic composites has intensified due to growing need for sustainable engineering materials. This work used the Taguchi L9 orthogonal array to experimentally examine and optimize the mechanical behaviour of hybrid epoxy composites reinforced with areca and banana fibres. The impacts of epoxy matrix composition, areca and banana fibre content on the composite’s tensile strength, impact strength, flexural strength, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Injection Pressure Optimization for Non-edible Biodiesel Blends in CRDI Engines: A Comparative Study
Abstract: The growing demand for clean and sustainable energy has increased interest in biodiesel produced from non-edible oil sources. These fuels are renewable, biodegradable, and do not compete with food resources. However, the effective use of biodiesel blends in modern diesel engines requires proper control of fuel injection parameters, particularly injection pressure. In common rail direct injection (CRDI) engines, injection pressure strongly influences spray formation, air–fuel mixing, combustion behaviour, and exhaust …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 2, 2025 · pp. 24–34 Read article
-
Surface Roughness in Traverse Cut Cylindrical Grinding of Phosphor Bronze
Abstract: In the present work, traverse cut cylindrical grinding process has been analyzed and optimized to obtain desired surface roughness while machining of phosphor bronze material. Experiments have been planned as per Taguchi’s L16 orthogonal array. Four levels of the input parameters have been used. The parameters are: longitudinal feed, work-speed and in-feed. The results have been studied, plotted and discussed. The effect of process parameters on responses have been analyzed …
Published in Journal of Automobile Engineering and Applications · Vol. 6, Issue 1, 2019 · pp. 20–24 Read article
-
Experimental Validation and Implementation Framework for Optimized Methane Yield Prediction in Anaerobic Digestion
Abstract: The correct validation and realistic application of optimized anaerobic digestion (AD) models are essential steps in transferring biogas production systems to real-life. This paper outlines an experimental validation and deployment pipeline of an AI-optimized model of the methane yield prediction model based on the application of more advanced machine learning and Bayesian optimization methods. Others The validated surrogate-assisted optimization model was tested with controlled laboratory-scale AD experiments at optimized operating …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
-
SIMULATION OF ETHANOL DISTILLATION USING CHEMCAD
Abstract: Aiming for Sustainable and low-Cost operation of ethanol distillation. The recovery step is usually carried out during the distillation process and is challenging, particularly regarding purity, operating cost issues. This study aimed to evaluate the ethanol distillation from ethanol-methanol and water mixture as a function of the reflux ratio in a process employing a Fractionating column. Test were performed using a standard mixture of ethanol, methanol and water using total …
Published in Emerging Trends in Chemical Engineering · Vol. 6, Issue 2, 2019 · pp. 1–6 Read article