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402 articles for “illustrate”
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Representation-Theoretic Symmetry Reduction and Fuzzy-Grey Optimization of Modular Vibration Systems
Abstract: This paper presents a representation-theoretic framework for symmetry-aware vibration control in modular structural systems. Exploiting cyclic symmetry, the mass, damping, and stiffness operators are block-diagonalised into irreducible representations, reducing the full structural dynamics to a collection of lower-dimensional modal subsystems. This decomposition provides both computational efficiency and a rigorous mathematical description of symmetry-preserving dynamic behaviour. To account for imperfections arising in practical implementations, near-symmetry defects in stiffness and damping are …
Published in Emerging Trends in Symmetry · Vol. 2, Issue 1, 2026 · pp. 22–30 Read article
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Some Plant Extracts Potential in Cleaning Soil Environment Contaminated with Petroleum Hydrocarbon
Abstract: This research considered the trend of some agro-based plant extracts obtained from paw paw, mango and aloe-vera leaves for the purpose of treatment of a contaminated soil environment. The potential of each agro-based plant extract was tested with respect to its ability in the area of petroleum hydrocarbon clean-up in soil environment. The impact of the variation on the pH on each of the bioreactor set-up was monitored and the …
Published in Journal of Petroleum Engineering & Technology · Vol. 16, Issue 2, 2026 · pp. 27–39 Read article
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Harnessing Marine Byproducts and Optimization of Biopolymer Extraction Quality Using Response Surface Methodology and Study of Its Physicochemical Properties
Abstract: Chitosan, a versatile biopolymer derived from chitin, holds immense potential across various industries owing to its antimicrobial, antioxidant, and biocompatible properties. This study aims to optimize the deacetylation process of chitin, sourced from shrimp shells, using Response Surface Methodology (RSM) to produce high-quality chitosan. The Box-Behnken Design (BBD) was employed to evaluate the effects of temperature, time, and alkali concentration on the degree of deacetylation (DD%), a key determinant of …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 125–139 Read article
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Host Invasion to Immune Evasion: Emerging Concepts in Pathogen Virulence Strategies
Abstract: The interaction between hosts and pathogens represents a continuous evolutionary struggle, shaping both microbial virulence and host immunity. Pathogens employ diverse strategies to evade immune surveillance, ranging from antigenic variation and molecular mimicry to hijacking of host immune checkpoints. Simultaneously, hosts refine innate and adaptive immune mechanisms to counteract infection and limit damage. This reciprocal adaptation, known as host–pathogen coevolution, influences pathogen persistence, transmission, and fitness, while also sculpting immune …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 Read article
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Genomic Selection for Grain Yield in Wheat Using Machine Learning on DArT Molecular Markers: A Comparative Evaluation Across Multi-Environment Trials
Abstract: Genomic selection (GS) predicts complex quantitative traits directly from genome-wide molecular markers, bypassing the need for extensive phenotypic trials and accelerating plant breeding cycles. We conducted a comparative evaluation of seven regression approaches — ridge regression (the machine-learning equivalent of RR-BLUP), Lasso, Elastic Net, Partial Least Squares, linear Support Vector Regression, Random Forest, and Gradient Boosting — for predicting grain yield from 1,279 Diversity Array Technology (DArT) molecular markers genotyped …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 Read article
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Spectral Intuitionistic Fuzzy Hypergraph Operators and Dominance Kernels for Resilient Discrete Network Design
Abstract: A new discrete-mathematical framework is developed for resilient network design on intuitionistic fuzzy hypergraphs, where uncertainty is explicitly represented through membership, non-membership, and hesitation degrees associated with both vertices and hyperedges. These three components are systematically integrated into an effective incidence operator that captures the underlying uncertain relationships within complex hypergraph structures. Based on this operator, both un-normalised and normalized Laplacian matrices are formulated to characterize the spectral properties and …
Published in Recent Trends in Mathematics · Vol. 3, Issue 2, 2026 · pp. 41–48 Read article
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Self-Healing Structural Polymer Composites Incorporating Bio-Inspired Nanofillers
Abstract: Self-healing polymer composites become an attractive family of intelligent materials that are capable of autonomously repairing damage, which will enhance their durability, reliability and service life in extreme engineering applications. The materials are based on the principles of nature, using the nanofillers that are derived from biological systems to improve mechanical properties and self-healing capabilities by utilizing hierarchical structures and multifunctional interface interactions. The recent developments on the formulation of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Empirical Mode Decomposition versus Wavelet filtering for Time Domain Electromagnetic Signals
Abstract: Time Domain Electromagnetic (TDEM) methods are used for exploration of deep seated mineral deposits by measuring sub-surface conductivity of the earth. The response of earth is measured by an induction coil. The signals acquired are contaminated by variety of noises. Signal filtering plays a major role in order to obtain deeper information regarding subsurface conductivities. Various methods based on conventional DSP filters, wavelets, etc. have been attempted. This paper explains …
Published in Current Trends in Signal Processing · Vol. 3, Issue 1, 2013 · pp. 8–14 Read article
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Principal Component Analysis Based Dominant Features Selection Method for Speaker Identification
Abstract: Cepstrum based features are mostly used in speaker identification. Mel-frequency cepstrum coefficients (MFCCs) and their statistical properties (skewness, kurtosis and standard deviation) are used in this paper for text-dependent speaker identification. Principal component analysis (PCA) is employed to select the dominant feature vector representing the speaker characteristics. Multi-layer neural network is used as the classification engine. There occurs the inter-speaker variation of speech length uttering the same word. The feature …
Published in Current Trends in Signal Processing · Vol. 1, Issue 1-3, 2025 · pp. 33–45 Read article
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Process Plant Simulations Using MATLAB
Abstract: This paper explains the systematic procedure to perform steady state process simulations of process plants using MATLAB. This procedure is illustrated with ethylacetate production process. Sequential modular approach is used to solve the material and enthalpy balance calculations in the flowsheet. Phase equilibrium behaviour plots and sensitivity analysis plots are drawn using MATLAB. Results obtained are compared with the ASPEN PLUS V8.8 simulation results.
Published in Emerging Trends in Chemical Engineering · Vol. 3, Issue 2, 2016 · pp. 42–48 Read article
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Fatigue Analysis of the FSAE Vehicle's Front Wheel Hub
Abstract: This study illustrates the design and analysis of the FSAE vehicle's front wheel hub. Because wheel hubs are subjected to cyclic loads on a continuous basis, there is a risk of fatigue, which leads to material failure. The start and spread of cracks in a material as a result of cyclic loading is known as fatigue. The brake discs could not be easily removed since the disc is positioned between …
Published in Journal of Automobile Engineering and Applications · Vol. 9, Issue 1, 2022 · pp. 18–26 Read article
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A Review of Aerodynamics Effects to a Vehicle
Abstract: This paper summarizes the contributions made to the special issue on aerodynamics and whole design procedure in order to assure the achievement of the expected objectives in terms stability and handling. In this paper after a short introduction about the aerodynamics of vehicle further aspects of coefficient drag, lift coefficient and its impact on acceleration as well as the velocity of a vehicle will be described along with mathematical formula …
Published in Journal of Automobile Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 1–7 Read article
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Heterogeneous Catalysis in Industrial Applications: A Review
Abstract: In many industrial processes, heterogeneous catalysis is essential because it improves reaction speeds and selectivity and makes catalyst recovery and reuse possible. This review explores the fundamental principles and diverse applications of heterogeneous catalysis in industry, with a focus on its economic and environmental benefits. We examine the structure and function of various catalysts, including metals, oxides, and zeolites, and their application in key industrial processes such as petrochemical refining, …
Published in Journal of Catalyst & Catalysis · Vol. 10, Issue 3, 2023 · pp. 17–23 Read article
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Automatic Evaluation of the Thin-film Multijunction TVC Performance in the Highly Accurate AC Voltage Measurements
Abstract: In this paper, The Thin-Film Multijunction Thermal Converter (TFMJTC) is evaluated by comparing its performance with the Single Junction Thermal Converter (SJTC) performance. This comparison is performed automatically by making new LabVIEW programs which are developed especially for this purpose. The performance of the TFMJTC is determined with the help of characteristic tests which are important to each thermal converter (TC) to be determined to put them into consideration during …
Published in Journal of Control & Instrumentation · Vol. 4, Issue 1, 2013 · pp. 1–10 Read article
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Temperature Control System using Artificial Intelligence
Abstract: Artificial Intelligence (AI) based controller for temperature control of a water bath system. The generation of membership function is a changeling problem for fuzzy systems and the response of fuzzy systems depends mainly on the membership functions. Artificial Neural Network based input and output used to tune the membership functions in fuzzy system. Two input and single output artificial intelligence is designed to control the temperature system .Further the tuning …
Published in Journal of Control & Instrumentation · Vol. 3, Issue 1-3, 2012 · pp. 76–83 Read article
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A CON: EVO Reduction Technique for Uncertain Interval Systems Using Differential Evolution Algorithm
Abstract: In this paper advantage of evolutionary technique is used in combination with a reliable conventionaltechnique to reduce the dimension of high order uncertain linear interval systems into low order intervalsystems. The proposed technique is depicted by a name CON: EVO, which stands for combination ofconventional & evolutionary technique. In evolutionary method recently proposed Differential Evolution(DE) optimization technique is used with and without powerful conventional Routh approximation techniqueto minimize the integral …
Published in Journal of Control & Instrumentation · Vol. 1, Issue 1-2-3, 2011 · pp. 1–11 Read article
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Operational Planning and Allocation of Distributed Generation in Distribution System: A Review
Abstract: Distributed generation refers to the generation of electricity from a variety of small, decentralized energy sources that are located close to the point of use, rather than relying solely on large, centralized power plants. These small-scale power sources can include renewable energy technologies like solar panels, wind turbines, and micro-hydro systems, as well as conventional fossil fuel generators or combined heat and power (CHP) systems. Distributed generation systems can be …
Published in Journal of Control & Instrumentation · Vol. 14, Issue 2, 2023 · pp. 24–29 Read article
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Fractional Homotopy Analysis Transform Method for a Fin Having Temperature Dependent Internal Heat Generation
Abstract: Fractional Homotopy Analysis Transform Method (FHATM) is a new analytical tool for solving homogeneous and non-homogeneous fin equations. FHATM is a novel and innovative modification in Laplace Transform Algorithm (LTA) thus making analysis easier. Non-linear problems are solved by proposed technique without using Adomian and He’s polynomial which is a clear benefit of this new algorithm over decomposition and homotopy perturbation transform methods. This is an elementary technique which gives …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 1, 2019 · pp. 23–34 Read article
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Study: Finite Element Analysis for Thick Wall Cylinder
Abstract: Measure the stress and failure in this work to overcome the problem of mechanics in thick wallcylinder. The analysis of each element and calculates a large number of comparisons using modernsoftware, such as ideas for solving a large number of comparisons in a few seconds, in order to getvery accurate results to solve. This research has been illustrated overview about FEA analysis methodand some of solution for engineering 's problems …
Published in Journal of Experimental & Applied Mechanics · Vol. 12, Issue 2, 2021 · pp. 52–63 Read article
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Assessing the Effectiveness of Machine Learning Algorithms in Simulating Malware Detection Processes
Abstract: On the information system comprehends, computer virus attacks play a very important role and, by undermining regionally and globally, are considered one of the most critical threats. The traditional malware detection methods, more varied, being based on signature, are incapable of providing sufficient coverage over malicious programs in a short time. This is due to the speed of evolution and growing complexity of malware variants. This situation, in turn, requires …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 3, 2023 · pp. 11–20 Read article