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927 articles for “optimization”
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Optimization of Nutritional Parameters for Production of Alpha Amylase Using Aspergillus oryzae MTCC 3017 by Central Composite Design
Abstract: Amylases are the most widely used enzymes that are used many sectors such as clinical, medical, analytical and industrial applications. Beside their use in starch saccharification they also find applications in food, baking, brewing, detergent, textile and paper industries. Increasing utility and consumption of amylase in different industries has placed a greater stress on increasing indigenous enzyme production and search of more rapid processes. The aim of the present investigation …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 2, Issue 1, 2016 Read article
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A Review on Bacterial Foraging Optimization
Abstract: Bacterial foraging optimization algorithm (BFOA) is based on the social and cooperative behaviour found in nature. Bacteria look for nutrients in nature in an optimized manner such that it improves its nutrient level as well as it also helps other bacteria to find the nutrient by attracting them towards the food bacteria are looking for nutrients so that the energy extracted per unit time is maximized. Through sending signals, individual …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 5, Issue 2, 2019 · pp. 19–29 Read article
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Design Optimization of Drone Frame
Abstract: Abstract: One of the most crucial parts of any drone is the frame. In this research, we use ANSYS topology optimization to optimise the frame design in order to lighten its weight. Drone frame design is geared to bear big loads while having a light frame. Consequently, less material will be used, and the drone's performance will be enhanced. Due to its inherent advantage of deployment at the appropriate places, …
Published in International Journal of Mechanics and Design · Vol. 8, Issue 1, 2022 · pp. 25–32 Read article
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Weight Optimization of Motorcycle Frame by Finite Element Analysis
Abstract: Frame is one of the main components of the two-wheeler vehicle. All the important accessories of the two-wheeler are mounted on the frame. It is subjected to various types of loads which could affect the life of the frame. Therefore, it is necessary to analyze the motorcycle frame for various parameters such as thickness, materials and loading conditions. The optimization of design is very difficult and the effect is little …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 5, Issue 2, 2019 · pp. 1–11 Read article
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Microwave Frequency Optimization Techniques for High-Speed Wireless Communication
Abstract: The rapid growth of mobile devices, cloud computing, Internet of Things (IoT), smart applications, and high-definition multimedia services has significantly increased the demand for high-speed wireless communication systems. Microwave communication technologies play a vital role in modern wireless networks because they provide large bandwidth, high data transmission rates, low latency, and efficient spectrum utilization. Microwave and millimeter- wave frequencies are widely used in satellite communication, radar systems, wireless broadband, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 14–21 Read article
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Evaluation of Deep Learning Optimizers for Gujarati Handwritten Numerals
Abstract: Handwritten digit recognition is a fundamental task in the field of pattern recognition and computer vision with numerous applications. The development of deep learning algorithms has greatly increased the efficiency and accuracy of recognition of handwritten digits systems. However, the choice of optimizer plays a crucial role in determining the convergence rate and final performance of deep learning models. In this study, we provide a thorough analysis of many deep …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 1, 2025 · pp. 34–41 Read article
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Novel Approaches to Thermodynamic Optimization in Industrial Processes
Abstract: Thermodynamic optimization in industrial processes stands as a pivotal pursuit in enhancing efficiency, sustainability, and economic viability. Traditional methodologies have primarily focused on established principles, yet the escalating demands for resource conservation and emissions reduction necessitate innovative strategies. This abstract presents a compendium of novel approaches aimed at revolutionizing thermodynamic optimization in industrial settings. Firstly, the incorporation of advanced machine learning algorithms unveils unprecedented opportunities for predictive modeling and real-time …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 9, Issue 2, 2023 · pp. 20–25 Read article
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An Analytical Approach for Optimal Siting and Sizing of Distributed Generation in Radial Distribution Systems
Abstract: In this study, an analytical approach based technique is presented for optimal sizing and siting of distributed generation (DG) units in balanced radial distribution system. The formulations of developed technique are based on reducing the active and reactive components of system loss related to branch currents. In the proposed technique the magnitude of branch current is reduced by installation of DG units at various positions in distribution system. According to …
Published in International Journal of Analog Integrated Circuits · Vol. 2, Issue 1, 2016 · pp. 36–42 Read article
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Power control in wireless cellular network using QOS constrained convex optimization
Abstract: For wireless cellular network with different QoS (Quality of service) constraints , a variety of power control problems with different objective functions and constraints can be formulated as non linear optimization. With the use of convex optimization they can accommodate realistic QoS constraints e.g. data rate, outage probability, throughput and SIR. In the high SIR regime these properties can be solved by converting into convex optimization problems in the form …
Published in International Journal of Broadband Cellular Communication · Vol. 3, Issue 2, 2017 · pp. 19–25 Read article
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Enriched Technique for DG Placement and Sizing by GA Optimization
Abstract: The demand of proficient and high quality power is rising in the world of electricity. Power utilities are facing major challenges as the demand of power system is growing exponentially. To meet this demand, the present need is to provide the consumer demand locally by Distributed Generation (DG). However, a large number of DG units in a distribution system may occasionally provide to high levels of harmonic distortion even though …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 2, 2016 · pp. 1–12 Read article
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An Optimized Design of the Standard Manual Wheelchair
Abstract: The manual wheelchair is commonly found in hospitals, rehabilitation centers, senior housing and airports for allowing patients, people with physical disabilities or for elderly people. Transferring mishaps are one of the major causes for injuries. Moreover, all the transferring actions between wheelchair and other surfaces are difficult for wheelchair users. This project is aimed at optimizing the existing design of a standard manual wheelchair by introducing a height adjusting mechanism …
Published in International Journal of Mechanics and Design · Vol. 5, Issue 2, 2019 · pp. 1–10 Read article
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Investigation of Optimal Process Parameters of Extrusion Blow Molding Process Using Grey Taguchi Analysis
Abstract: Optimization of machining processes is essential for achieving higher productivity and high-quality products in order to remain competitive. The objective of this study is to optimize the process parameter of extrusion blow molding process for making a plastic container of high density polyethylene (HDPE) grade B52A003 produced by the extrusion blow molding process at CIPET Gwalior. Quality of plastic container of HDPE B52A003 material depends on various parameters. In this …
Published in International Journal of Manufacturing and Materials Processing · Vol. 4, Issue 1, 2018 · pp. 1–11 Read article
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An Optimized Design of the Standard Manual Wheelchair
Abstract: The manual wheel chair is commonly found in hospitals, rehabilitation centres, senior housing and airports for allowing patients, people with physical disabilities or for elderly people. Transferring mishaps are one of the major causes for injuries. Moreover, all the transferring actions between wheelchair and other surfaces are difficult for wheelchair users. This project is aimed at optimizing the existing design of a standard manual wheelchair by introducing a height adjusting …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 6, Issue 2, 2020 · pp. 1–9 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: Abstract This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Hybrid ABS & CF-ABS FDM Printing Tensile Components: A Comprehensive Review and a Novel Taguchi–FEA Based Methodology Framework for Mechanical Optimization
Abstract: Abstract An experimental–numerical strategy and a critical literature survey were addressed to tackle the tensile response of hybrid Acrylonitrile Butadiene Styrene (ABS) and Carbon Fiber–reinforced ABS (CF-ABS) parts manufactured by Fused Deposition Modeling (FDM). The study employed a systematic literature synthesis to identify material challenges, reinforcement compromises and important process parameters that impact anisotropy as well as interlayer bonding. Dual-material tensile samples based on an Automatic Material System (AMS) printer …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–27 Read article
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Hybrid ABS & CF-ABS FDM Printing Tensile Components: A Comprehensive Review and a Novel Taguchi–FEA Based Methodology Framework for Mechanical Optimization
Abstract: Abstract An experimental–numerical strategy and a critical literature survey were addressed to tackle the tensile response of hybrid Acrylonitrile Butadiene Styrene (ABS) and Carbon Fiber–reinforced ABS (CF-ABS) parts manufactured by Fused Deposition Modeling (FDM). The study employed a systematic literature synthesis to identify material challenges, reinforcement compromises and important process parameters that impact anisotropy as well as interlayer bonding. Dual-material tensile samples based on an Automatic Material System (AMS) printer …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 12, Issue 1, 2026 · pp. 1–5 Read article
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AI-Assisted Conversion and Optimization of Analog-to-Digital Signal Transmission forLow-Power IoT and Edge Devices
Abstract: The booming implementation of Internet of Things (IoT) and edge computing devices is requiring theimplementation of efficient signal transmission mechanisms to balance between performance and energyefficiency. The current paper introduces an AI-assisted conversion and optimization system of the analog-to-digital (A/D) signal transmission, aimed at low-power IoT and edge devices. The given strategy combines both machine learning algorithms and adaptive sampling and quantization methods to optimize the A/D conversion process in …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 2, 2025 Read article
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Design, Analysis, and Material Optimization of a Passenger Railway Bogie Manipulator for Enhanced Performance and Efficiency
Abstract: Abstract The study aims to improve the design and optimize the material used in passenger railway bogie manipulators to improve their performance and efficiency. It is an essential tool in railway maintenance for lifting and relocating heavy bogie assemblies. The primary goal was to reduce overall weight and material use while maintaining structural integrity and operational reliability. After verifying the system structure, the original 70 mm screw was reduced to …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–13 Read article
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Leveraging Artificial Intelligence for Traffic Flow Optimization: A Case Study Approach
Abstract: AbstractTraffic congestion poses a significant challenge in urban environments, contributing to economiclosses, increased fuel consumption, environmental pollution, and diminished quality of life. Traditionaltraffic management approaches, such as pre-timed traffic signals and manual interventions, often failto adapt dynamically to fluctuating traffic conditions. This study explores the integration of artificialintelligence (AI) in traffic management to optimize traffic flow and reduce congestion. By leveragingAI-driven predictive models, deep reinforcement learning, and real-time traffic data, …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 37–42 Read article