Search
1813 articles for “performance optimization”
-
Synthesis and Characterization of Forsterite Incorporated HDPE Composites for Microwave Substrate Application
Abstract: High Density Polyethylene (HDPE) combined with dispersed forsterite (Mg₂SiO₄) powder was utilized to fabricate polymer matrix composites (PMCs) aimed at high-frequency microwave substrate applications. Forsterite powders were synthesized using the mixed oxide method, and their phase purity was confirmed by X-ray diffraction (XRD) analysis. The dispersion and morphology of the ceramic filler within the HDPE matrix were examined through Scanning Electron Microscopy (SEM), ensuring a homogeneous distribution essential for optimal …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 109–120 Read article
-
Mechanical and Thermal Performance of PETG Composites Reinforced with Short Carbon Fibers via Fused Filament Fabrication
Abstract: The study investigates the fabrication and characterization of polyethylene terephthalate glycol (PETG) composites reinforced with short carbon fibers (CF) using the fused filament fabrication (FFF) technique. Composite filaments with varying CF weight fractions (0, 5, 10, 15, and 20 wt%) were produced and evaluated for their mechanical, thermal, and morphological performance. The influence of CF reinforcement on tensile, flexural, and impact behavior was systematically examined, alongside thermal stability metrics including …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1219–1238 Read article
-
Aerodynamic Analysis of Foliage Stimulated Airfoil Design for Enhanced Strength with Carbon Fibre-reinforced Polymer
Abstract: Ever since the beginning of aviation, there has been an unwavering desire to improve airfoil design in order to improve aircraft performance. This insatiable desire for improvement has driven innumerable aerodynamicists to create a diverse range of revolutionary airfoils. This research investigates a revolutionary method to airfoil design, inspired by the complicated structures and aerodynamic qualities of natural leaves. Using biomimicry, the project seeks to increase the performance and efficiency …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 560–616 Read article
-
AI-Driven IoT Ecosystems for Real-Time Thermo-Chemical Decision Making
Abstract: The efficient management of thermo-chemical processes is a critical challenge in modern industry, where maintaining precision, operational safety, and energy efficiency directly influences productivity and sustainability. The convergence of the Internet of Things (IoT) and Artificial Intelligence (AI) has transformed conventional industrial systems into intelligent, data-driven environments capable of continuous monitoring, predictive analysis, and autonomous decision-making. By integrating interconnected sensors, edge computing, cloud platforms, and advanced machine learning algorithms, industries …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 4, Issue 2, 2026 · pp. 10–15 Read article
-
Design and Analysis of Dual Band Triangular Slotted Microstrip Patch Antenna for GPS and WLAN Application
Abstract: AbstractIn this paper, design of a dual operated microstrip patch antenna is presents. The dual-operation frequencies are chosen for UMTS/GPS and WLAN bands. A microstrip square patch antenna is designed which is excited by a microstrip line feed from the bottom of the antenna. An epoxy glass FR4 material is used as a substrate in the designing of antenna. The antenna is first modified in inverted U-shaped design to operate …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 2, 2019 · pp. 1–5 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
-
Evaluating the Performance of Test Cricket Players Using Principal Component Analysis and the Weighted Average Method
Abstract: This study evaluates cricket player performance using Principal Component Analysis (PCA) and a weighted average approach. In order to achieve this, we analyzed detailed batting and bowling datasets from the International Cricket Council (ICC) to calculate player performance based on various performance indicators. The datasets included comprehensive statistics from multiple matches and tournaments, allowing for an in-depth evaluation of players’ skills and contributions. PCA ranked players according to their participation …
Published in Recent Trends in Sports · Vol. 2, Issue 2, 2025 · pp. 20–30 Read article
-
Optimizing Grazing Systems for Promoting Early Puberty in Dairy Heifers: An Integrated Nutritional Perspective
Abstract: The onset of puberty in dairy heifers is a critical milestone in ensuring optimal reproductive performance and overall herd productivity. Grazing systems, when strategically managed, may play a significant role in accelerating puberty through their influence on nutritional intake and heifer management practices. This review explores the impact of different grazing systems on the nutritional status of dairy heifers, emphasizing the balance between nutrient supply and demand during critical growth …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 4, Issue 1, 2026 Read article
-
Asymptotic Notations: A Review
Abstract: Asymptotic notations play a fundamental role in assessing the efficiency and performance of algorithms, particularly as input sizes grow larger. This paper delves into three key asymptotic notations: Big O, Theta, and Omega, which are essential for understanding the upper, average, and lower bounds of an algorithm’s runtime. Big O notation specifically helps in determining the worst-case scenario of an algorithm’s growth rate, providing an upper bound on time or …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 17–33 Read article
-
Comparative Analysis on Concrete Strength Using Various Sizes of Aggregates and Combined Gradation
Abstract: This research delves into the effect of using various single coarse aggregate sizes and combinations of such by specific proportions. A thorough examination involving control specimens of 12mm, 20mm, and 25mm aggregates sizes, with combining proportions in the ratios – 5/8:3/8, 1/2:1/2, 3/8:5/8 have been conducted, shedding light on critical patterns that dictate concrete performance. The fine aggregate was properly zoned from the preliminary test. The design mix was calculated …
Published in Recent Trends in Civil Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 29–36 Read article
-
Enhanced Multimodal Disease Prediction Using Hybrid Ensemble Learning and AutoML Techniques
Abstract: The integration of hybrid ensemble learning and automated machine learning (AutoML) is revolutionizing disease prediction by addressing the complexity, imbalance, and high dimensionality inherent in medical datasets. This paper proposes an advanced pipeline that combines diverse ensemble learning models with AutoML-based optimization to predict chronic diseases such as kidney diseas-e, Parkinson’s disease, and lung cancer. Publicly available datasets from UCI and PhysioNet repositories were preprocessed using outlier removal, normalization, and …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 · pp. 10–20 Read article
-
Forecasting Commodity Prices Using Deep Learning Techniques: An Empirical Evidence from India
Abstract: Commodity price forecasting is instrumental in financial markets, providing framework for investment choices and risk management practices. Traditional models, including statistical and machine learning approaches, have limitations in capturing the nonlinear and volatile nature of commodity prices. Deep learning (DL) techniques have emerged as promising alternatives, leveraging advanced neural networks to enhance predictive accuracy. This study presents a thorough and comprehensive examination of deep learning applications in commodity price prediction, …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 3, 2025 · pp. 08–12 Read article
-
A Test on Diesel Engine Operated with Variation of Palm Oil and Diesel Fuel: A Research
Abstract: Palm oil (PO) is one of the vegetable oils that have potential for use as fuels for diesel engines. PO is renewable and is safe and easy to handle. The main objective of this research work was to optimize the performance and emission of four stroke, single cylinder, indirect injection, water cooled diesel engine operating on palm oil and diesel blend. A non-edible vegetable oil like palm oil is blended …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 2, 2016 · pp. 1–9 Read article
-
Electromagnetic and Dielectric Performance of Polymer–Ceramic Composite Substrates for Fractal-Based IoT-Antenna Fabrication
Abstract: Polymer–ceramic composite substrates play a crucial role in determining the electromagnetic performance, mechanical stability, and thermal reliability of radio-frequency devices. In this work, a polymer-based composite substrate is systematically investigated for its suitability in compact IoT and RFID antenna applications. A fractal-structured antenna is employed as a functional test platform to evaluate the dielectric behavior, impedance characteristics, and radiation efficiency of the composite substrate. Novelty of the proposed reader antenna …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1518–1534 Read article
-
Performance Analysis and Investigation of Emission and Economical Analysis of Diesel Engine by Using Palm Oil Blend with Diesel Fuel: A Review
Abstract: Palm oil (PO) is one of the vegetable oils that have potential for use as fuels for diesel engines. PO is renewable and is safe and easy to handle. The main objective of this research work was to optimize the performance and emission of four stroke, single cylinder, indirect injection, water cooled diesel engine operating on palm oil and diesel blend. One non edible vegetable oil like palm oil is …
Published in Journal of Thermal Engineering and Applications · Vol. 3, Issue 1, 2016 · pp. 18–28 Read article
-
An Experimental Examination of Palm Oil Blend with Diesel Fuel on Engine Execution and Outflow of a Diesel Engine: A Research
Abstract: The main objective of this research work was to optimize the performance and emission of four stroke, single cylinder, indirect injection, water cooled diesel engine operating on palm oil and diesel blend. The use of vegetable oil as a fuel in diesel engine causes some problem because of their high thickness contrasted and routine diesel fuel. Different methods and strategies are utilized to take care of the issues coming about …
Published in Journal of Thermal Engineering and Applications · Vol. 2, Issue 3, 2015 · pp. 1–7 Read article
-
BER Performance Analysis of MIMO With and Without Beamforming and Relaying Techniques
Abstract: The exponential surge in data traffic within contemporary communication systems has given rise to a challenge: a shortage in system information rates. To address these pressing issues, large-scale multiple-input multiple-output (MIMO) techniques have emerged as a promising solution. These advanced techniques not only enhance energy efficiency but also optimize spectrum performance, positioning themselves as a pivotal cornerstone for the forthcoming evolution of wireless communication systems. In wireless communication systems, fading …
Published in Journal of Microwave Engineering and Technologies · Vol. 10, Issue 2, 2023 · pp. 1–7 Read article
-
Optimizing Machinability in Wire EDM of AISI P20 Steel Employing Composite Material Wires with Hybrid Neural Network Approach
Abstract: AISI P20+Ni steel is extensively used for forging dies, plastic moulds, and automotive die components due to its excellent polishability, hardness, and homogeneity. This research utilizes Wire Electrical Discharge Machining (WEDM) to process pre-hardened AISI P20+Ni steel, focusing on minimizing both recast layer thickness (RLT) and kerf width (KW). The performance of wires made from composite materials, including zinc-coated brass wire (ZBW), cryogenically treated ZBW (CZBW), and ultrasonic vibration-assisted brass …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1120–1133 Read article
-
Carbon capture using polymer based membranes: A green solution to climate change
Abstract: Growing concerns over greenhouse gas emissions have intensified the search for efficient and eco-friendly carbon capture technologies. This study explores the potential of innovative polymer-based membranes as a sustainable approach to controlling CO2 emissions. The paper outlines the fundamental mechanisms of gas transport in membranes, reviews recent advancements in polymer material design, and examines various membrane configurations suited for industrial applications. Special attention is given to newly developed high-performance polymers …
Published in International Journal of Membranes · Vol. 2, Issue 2, 2025 · pp. 13–18 Read article
-
Role of Reinforcement Learning in Improvement of Semiconductor Doping
Abstract: The semiconductor industry faces increasing challenges in achieving optimal doping profiles as device dimensions shrink and performance requirements intensify. Traditional doping optimization methods, while effective, often struggle with the complex, multi-dimensional parameter spaces characteristic of modern semiconductor manufacturing. This study explores the transformative role of reinforcement learning (RL) in improving semiconductor doping processes, examining how RL algorithms can autonomously optimize doping parameters to enhance device performance, reduce manufacturing costs, and …
Published in Journal of Semiconductor Devices and Circuits · Vol. 12, Issue 2, 2025 · pp. 23–34 Read article