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189 articles for “mathematical optimization”
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Mathematical Modeling and CFD Analysis for Protype Model Development of a Low-cost Hybrid Power Operated Mini Kitchen Chimney for Rural Households
Abstract: Home chimneys remove pollution by products of fossil fuels from the atmosphere. Today's environmental problems are worsening rapidly due to technology and population growth. Thus, researchers developed a hybrid micro kitchen chimney to help rural residents at a low cost. This small hybrid chimney simplifies rural cooking. A kitchen chimney is the best way to remove smoke, grease, stink, stains, oil droplets, and more from the kitchen. It helps ventilate …
Published in International Journal of Energy and Thermal Applications · Vol. 1, Issue 1, 2023 · pp. 14–28 Read article
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Greedy Algorithm
Abstract: In mathematics and computer science, an algorithm is a self-contained step-by-step set of operations to be performed. Algorithms exist that perform calculation, data processing, and automated reasoning. A greedy algorithm is an algorithm that follows the problem solving heuristic of making the locally optimal choice at each stage[1] with the hope of finding a global optimum. In many problems, a greedy strategy does not in general produce an optimal solution, …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 2, Issue 2, 2015 · pp. 10–14 Read article
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Differential Model of Wave Vibration on Strings and Rods
Abstract: Vibration, as a physical phenomenon, plays a multifaceted role in both natural and engineered systems. Beyond its essential contribution to communication through sound and speech, it finds critical application in various technological domains. For instance, in the design of stringed musical instruments such as violins and guitars, precise manipulation of string vibrations defines tonal quality and musical resonance. Similarly, metal rods in tuning forks exhibit vibrational properties that are finely …
Published in Research & Reviews : Journal of Physics · Vol. 14, Issue 1, 2025 · pp. 17–21 Read article
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Investigation on pitting corrosion rate of Micro Plasma Arc Welded Titanium (Ti-6Al-4V) alloy sheets in KBr solution using TOPSIS
Abstract: Titanium is having good anti-corrosion properties in both basic and acidic medium. However, when it is subjected to severer heating processing like welding, there is a possibility of corrosion formation at the weld joint. In the present work Pulsed current MPAW is used for joining 0.5 mm thick Titanium (Ti-6Al-4V) alloy sheets. Peak Current, Base Current, Pulse Rate and Pulse Width are considered as input parameters and fusion zone corrosion …
Published in Journal of Materials & Metallurgical Engineering · Vol. 9, Issue 2, 2019 · pp. 37–53 Read article
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Review on Improving the Fuel Efficiency of a Hydraulic Excavator using various Optimization methods
Abstract: Due to global warming & rising energy cost, it has become the need of society to develop new techniques for pollutant emission & reduction of fuel consumption. This paper provides a comprehensive review of recent research on the energy-saving technology for minimizing the specific fuel consumption up to a certain level. The development, application and performance of hybrid hydraulic excavation system were analysed. These developed model system can be optimized …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 3, 2019 · pp. 7–12 Read article
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Investigation on Performance Characteristics of Hydraulic Wind Turbine with Variable Accumulator
Abstract: This study presents an investigation on the performance characteristics of a hydraulic wind turbine with a variable accumulator. The aim of this research is to assess the feasibility and efficiency of utilizing hydraulic systems in wind energy conversion. The hydraulic wind turbine employs a variable accumulator, which allows for energy storage and regulation. By varying the accumulator’'s pressure and volume, the turbine’'s performance can be optimized to match the varying …
Published in Journal of Aerospace Engineering & Technology · Vol. 13, Issue 1, 2023 · pp. 16–22 Read article
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An Overview of the Design and Optimization of Antennas Employing Machine Learning Algorithms and Methodologies
Abstract: This paper offers a comprehensive exploration of the integration of machine learning (ML) techniques in antenna design and optimization, reflecting the burgeoning interest and potential impact of ML in emerging technologies. The first segment conducts a detailed literature survey, elucidating conventional computational electromagnetic and numerical methods preceding an in-depth discussion on the core facets of ML, encompassing diverse learning categories and frameworks. Additionally, it provides a mathematical exposition on regression …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 10, Issue 3, 2023 · pp. 1–12 Read article
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Enhancing Surface Roughness of Polylactic Acid (PLA) 3D-Printed Parts Using CO₂ Laser Scanning: An Experimental Study on Parameter Optimization
Abstract: Fused deposition modeling (FDM) of polylactic acid (PLA) often suffers from poor surface finish due to the inherent layer-by-layer deposition process, limiting its use in high-precision applications. This study investigates CO₂ laser scanning as an efficient post-processing technique to reduce the surface roughness (Ra) of PLA parts while maintaining structural integrity. Specimens (100 × 80 × 5 mm) were fabricated with varying infill densities (35%, 70%, and 100%) to assess …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 503–511 Read article
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The Patient’s Dilemma: An approach in Medical Decision Making using the Prisoner’s Dilemma Model and the Prospect Theory
Abstract: Prospect theory suggests that when people are faced with uncertain outcome, they may be risk seeking or aversive, depending on the utility value. While Prisoner’s dilemma shows that suboptimal choices are made if people seek their own gain only. Patients’ demand in decision making during the recent years evolved this dilemma. Through a mathematical approach and survey, the doctor-patient involvement in decision making has been explored. A hypothetical model was …
Published in Research and Reviews: A Journal of Medicine · Vol. 8, Issue 3, 2018 · pp. 54–63 Read article
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Parameters Optimization of EDM of AISI 316 Stainless Steel Material using RSM
Abstract: In this paper, cutting of SS316 material using electro discharge machining (EDM) with a copper electrode using RSM technique is discussed. Electrical discharge machining (EDM) is one of the earliest non-traditional machining processes [1]. These methodologies are used to analyze the effect of each parameter on the machining characteristics and to predict the optimal choice for each EDM parameter such as peak current, gap voltage and pulse on time. It …
Published in Journal of Industrial Safety Engineering · Vol. 3, Issue 2, 2016 · pp. 23–29 Read article
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STUDY ON EFFECT OF END MILLING PARAMETERS ON CUTTING FORCES USING RESPONSE SURFACE METHOD
Abstract: Now a day’s research over improvement of surface roughness on mechanical elements has become quite significant in the operational and aesthetical point of view. To enhance accuracy and precision, manufacturing firms are adopting automated systems in order to achieve manufacturing excellence. In the present work the effect of various process parameters like spindle speed, feed and cutting fluid composition on cutting forces in End milling process is investigated by using …
Published in Trends in Mechanical Engineering & Technology · Vol. 8, Issue 2, 2018 · pp. 62–72 Read article
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Genetic Algorithms Molecular Effect Model Optimization for High-temperature Superconductors Tin and Thallium Classes
Abstract: Genetic algorithms software was applied in 3D Graphical and Interior Optimization methods for two high-temperature Superconductors (HTSCs) classes. Namely, Tin (Sn) class with (TC>0°), and Thallium (Tl) one subject to (TC˂0°, TC>0°) in Molecular Effect Model (MEM). Results include mathematical Tikhonov Regularization Functionals algorithms for this group of HTSCs without using logarithmic changes. Results also show the contrasts between these two classes for Molecular Effect Model (MEM) hypothesis. Solutions show …
Published in Recent Trends in Programming languages · Vol. 9, Issue 3, 2022 · pp. 1–16 Read article
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Optimization of Turning Parameters of EN-36 for Material Removal Rate and Tool Life based on Taguchi and RSM Method
Abstract: In this experimental study the effect of cutting parameters on material removal rate (MRR) and tool wear rate (TWR) during turning of EN-36 material on turning machine is determined. In this work, firstly, all the cutting parameters namely, spindle speed (SS), feed rate (FR) and depth of cut (DOC) are designed by using suitable orthogonal array in Taguchi method. The experimental studies were accompanied under the varying spindle speed, feed …
Published in Journal of Mechatronics and Automation · Vol. 3, Issue 1, 2016 · pp. 14–24 Read article
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Optimal Capacity of Pump Storage System for Standalone Green Microgrid Interconnection with Main Grid in Deregulated Power Sector
Abstract: The energy crisis requires more generation capability, and is more importance to the storage technologies. To overcome this shortage of energy, pump storage system is used in the power system with great storing capacity up to this time. The isolated or regional grid in remote areas probably depends on renewable power sources such as wind; solar, geothermal, tidal, etc. with its availability is the main power resources. It is quite …
Published in Journal of Power Electronics and Power Systems · Vol. 6, Issue 2, 2016 · pp. 100–114 Read article
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Estimation of Burger Model Parameters by Inverse Analysis of Oedometer Data
Abstract: Contrary to the forward analysis, inverse analysis can be effectively utilized to determine the parameters of a constitutive model commonly used to represent the stress-strain-time behavior or the load-deformation-time behavior of the soil. This paper reports the development of a generalized inverse analysis formulation for the parameter estimation of four-parameter Burger model. The analysis is carried out by formulating the problem as that of mathematical programming in terms of identification …
Published in Recent Trends in Civil Engineering & Technology · Vol. 2, Issue 1-3, 2012 · pp. 37–54 Read article
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Study of Algebraic Structures in Discrete Mathematics and Its Applications
Abstract: Algebraic structures such as groups, rings, fields, semi groups, and lattices form the foundational framework of discrete mathematics. These structures are defined by specific sets and operations that follow algebraic laws, enabling a systematic approach to problem-solving in various domains. This paper explores the theoretical principles of these algebraic systems and highlights their vital role in computer science, cryptography, automata theory, coding theory, and software engineering. By examining their properties …
Published in Emerging Trends in Symmetry · Vol. 1, Issue 1, 2025 · pp. 35–40 Read article
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An Experimental Investigation of Process Parameters for Aluminum Alloy Composites
Abstract: The objectives of this work are to develop an aluminum alloy composites and investigate machining process parameters effect on the tool wear rate for composites. The composite is enhanced using silicon carbide and graphite. The composite is made by a method called stir casting. Furthermore, it is investigated both mathematically and experimentally. This study takes trial on aluminum alloy composite to see output characteristics tool wear rate are affected by …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 185–193 Read article
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Programming Languages for Robotics: A Comprehensive Review of Applications, Features, and System Integration
Abstract: The rapid advancement of industrial automation, artificial intelligence, and autonomous systems has increased the importance of effective programming approaches for modern robotic applications. Robot programming languages provide the computational foundation for controlling robotic motion, interacting with sensors and actuators, implementing autonomous operations, and developing simulation-based solutions. This paper presents a comparative review of major programming languages used in robotics, with particular emphasis on C/C++, Python, Java, C#/.NET, and MATLAB. The …
Published in Recent Trends in Programming languages · Vol. 13, Issue 2, 2026 · pp. 51–62 Read article
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Resolving Travelling Salesman Problem Using Modified Clustering Technique
Abstract: AbstractTravelling Salesman Problem (TSP) is a quotidian stumbling block in the field of Computer Science and operation research designed to seek out the shortest pathway amid the given targets viz. cities where each target is considered only once. Many solutions to this setback like Ant Colony Optimization. Brute-Force approach, Genetic Algorithm, Fruit Fly Optimization etc. are available in literature. The main objective of these solutions is to minimize the time …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 6, Issue 1, 2019 · pp. 22–31 Read article
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Design and Simulation of Discrete Time Multi-Input Multi-Output Optimal Controller to Control Active and Reactive Power of DFIG
Abstract: The control of active and reactive power of doubly-fed induction generator (DFIG) in a large scale wind farm has become an important issue for the improvement of wind energy system to provide efficient and reliable electrical power with safety. The control strategies of active power and reactive power can be classified in two types—direct power control and indirect power control. First control strategy has designed based on the chosen switching …
Published in Trends in Electrical Engineering · Vol. 5, Issue 1, 2015 · pp. 1–11 Read article