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376 articles for “dimensions”
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Systematic Review of Application of Nature-Inspired Algorithms for Resource Optimization in Multi-Programmed Operating Systems
Abstract: Multi-programmed operating systems are increasingly confronted with complex challenges in efficiently managing system resources, primarily due to the need to handle numerous concurrent processes with diverse and often conflicting resource demands. As these systems evolve, ensuring optimal performance across various dimensions, such as CPU scheduling, memory allocation, and load balancing, has become crucial. In this context, nature-inspired algorithms have emerged as promising solutions for enhancing resource optimization. These algorithms, which …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 08–14 Read article
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ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 Read article
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Ethical Risks of Generative AI in Education: Challenges, Implications, and a Responsible Use Framework
Abstract: The rapid diffusion of generative artificial intelligence (AI) technologies in educational settings is reshaping how teaching, learning, and assessment are designed and enacted. Large language models and related generative systems offer powerful capabilities for content creation, personalized feedback, and instructional support, promising gains in efficiency and learner engagement. However, their growing use also introduces a complex set of ethical risks that challenge foundational educational values such as integrity, equity, transparency, …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 23–30 Read article
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Design and Ballistic Performance Assessment of Pattern-Optimized Lightweight Composite Armor Using ANSYS Explicit Dynamic and AUTODYN
Abstract: This study investigates the ballistic performance of lightweight composite armor panels designed to defeat 9 mm full-metal-jacket (FMJ) threats using high-fidelity numerical simulations. Four different composite materials were arranged into panels of identical overall dimensions; only the internal segment pattern was varied to explore geometric resistance effects while keeping mass and material type controlled. Ballistic impact simulations were performed using ANSYS Explicit Dynamics and AUTODYN to capture high-strain-rate behavior, local …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 174–190 Read article
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Experimental Evaluation of Carbon Fiber Reinforced Epoxy Composites for Structural Applications
Abstract: Composites made of carbon fibre reinforced polymer (CFRP) are currently one of the most widely used material classes in advanced engineering applications because of their remarkable environmental resistance, dimensional stability, and strength-to-weight ratio. The vacuum bag moulding method was used in this study to create CFRP laminates with different fiber-to-resin weight ratios: 50:50, 55:45, 60:40, 65:35, and 70:30. The reinforcement phase was made of unidirectional carbon fibre fabric and the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 401–415 Read article
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Random Forrest Based Man-in-the-Middle Attack Detection in Advanced Metering Infrastructure
Abstract: Advanced metering infrastructure (AMI) plays a central role in the operation of modern smart grid (SG) systems by enabling continuous, two-way communication between utility providers and consumers. Through this communication, AMI supports real-time monitoring, dynamic pricing, and efficient energy management. However, the same connectivity that makes AMI effective also increases its exposure to cyber threats. One of the most critical threats is the man-in-the-middle (MITM) attack, in which an attacker …
Published in Journal Of Network security · Vol. 14, Issue 1, 2026 · pp. 1–8 Read article
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Investigation on The Effect of Carbon Fiber Reinforcement on The Mechanical and Physical Properties of FDM 3d Printed PLA
Abstract: In this work, the effects of annealing on the physical properties and mechanical behavior of short-carbon-fiber-reinforced polylactic acid (CF/PLA) composites made using fused deposition modeling (FDM) are systematically investigated. Pristine PLA and CF/PLA composites with 10% fibers have been made and evaluated in accordance with ASTM standards. Tensile, bending, and hardness tests were used to evaluate the performance of as-received and annealed composites. The tensile and hardness properties of PLA …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 284–298 Read article
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Animal Species Prediction Using Deep Learning
Abstract: In the face of escalating biodiversity loss, effective monitoring of animal species is critical for conservation efforts. This study presents a deep learning approach for species detection and a multimodal feature identification technique for animals vulnerable to poaching. The suggested prediction system recognizes objects automatically by the application of deep learning techniques to detect objects and then recognize them by using computer vision techniques, and it is triggered when an …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 14–22 Read article
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Comparative Seismic Response of Irregular High-Rise RCC 25 Storey Buildings with and without Shear Walls Considering P–Delta Effect
Abstract: The seismic performance of high-rise reinforced concrete (RCC) buildings is significantly affected by plan irregularity, lateral stiffness distribution, and second-order (P–Delta) effects. Irregular structural configurations may generate torsional response and increased deformation demand under seismic excitation while geometric nonlinearity further amplifies displacement and internal forces in tall structures . This study presents a comparative seismic assessment of a G+24 storey RCC building having overall plan dimensions of 30,000 mm × …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 2, 2026 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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Optimization of Machining Parameters of EN-27 Material Using Wire Electric Discharge Machining (WEDM)
Abstract: The optimization of Wire Electrical Discharge Machining (WEDM) parameters for EN-27 alloy steel, a high-strength material widely utilized in mechanical and structural applications, is the subject of this study's methodical analysis. Due to its hardness and poor machinability by conventional methods, WEDM is preferred for achieving precise dimensional accuracy and surface integrity. The primary objective of this work is to enhance machining performance by identifying optimal process parameters influencing Material …
Published in Journal of Production Research & Management · Vol. 16, Issue 1, 2026 · pp. 32–36 Read article
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Study of Thermal Conductivity and Hardness of Coir Fiber Reinforced Epoxy Composite
Abstract: Researchers are drawn to polymer reinforced natural fibers composite for the development of new materials. The research aims to use waste fibers, specifically coir, to create polymer composite materials. Thermal conductivity and hardness of the composite results are determined under various conditions. Coir fiber is used as the reinforcement material and Coir powder is used as the filler material in the study. In the case of the matrix, the epoxy …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1576–1582 Read article
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Performance analysis of cross-slotted patch antenna for wireless system applications
Abstract: A C-band cross-slotted microstrip patch antenna for ice and frost detection in wireless sensing applications. The antenna configurations with distinct cross-slot geometries are designed to investigate their influence on impedance matching, radiation characteristics, and sensing sensitivity. The antennas are modeled and analyzed using Ansys HFSS, and their dimensions are optimized using standard microstrip antenna design equations. Ice and frost accumulation on the antenna surface is identified through measurable shifts in …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 1, 2026 · pp. 35–50 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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Nanostructure-Induced Thermoelectric Enhancement in Bi₂Te₃ Nanorods Design, Analysis, and Performance Evaluation
Abstract: Thermoelectric materials capable of efficient energy conversion near room temperature are critical for waste heat recovery applications. In this work, solution-grown Bi₂Te₃ nanorods were synthesized via a trioctylphosphine-assisted thermal decomposition route, and the influence of surfactant-induced nanostructuring on their thermoelectric properties was systematically investigated. Structural analysis using X-ray diffraction and Rietveld refinement confirmed the formation of rhombohedral Bi₂Te₃ with the emergence of Bi₂Te₃–BiTe nanocomposites at higher surfactant concentrations. Electron microscopy …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 34–44 Read article
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Fusion of deep learning autoencoders with random forest for wetland classification using Sentinel-2A data: A case study on Sirpur wetland
Abstract: Present study analyses the performance of deep leaning algorithm-autoencoder to reduce data dimension as compared to conventional models. Classification accuracies of Sirpur wetland using Sentinel 2A dataset with different inputs have also been studied. These inputs sets comprise the reconstructed data through compression of original 13 bands into 4 bands using decoder algorithm, first four Principal Components, all spectral bands, and spectral indices. Random Forest classifier (RF) is used to …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 25–35 Read article
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Mathematical Modelling of Semiconductor Device Physics: An Analytical Approach
Abstract: Semiconductor device physics forms the foundation of modern electronic and optoelectronic technologies. Mathematical modelling provides a rigorous framework for understanding, predicting, and optimizing the behavior of semiconductor devices by linking physical principles with device-level performance. This work presents an analytical approach to the mathematical modelling of semiconductor devices, emphasizing the derivation and interpretation of governing equations that describe charge transport and electrostatic behavior. The model is based on fundamental physical …
Published in Research & Reviews: Discrete Mathematical Structures · Vol. 13, Issue 1, 2026 · pp. 36–42 Read article
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Hydrodynamic Assessment of a Proposed FSRU Development in the Visakhapatnam Outer Harbour
Abstract: This study presents a detailed hydrodynamic assessment of a proposed Floating Storage andRegasification Unit (FSRU) in the Visakhapatnam Outer Harbour. A depth-integrated, two- dimensional hydrodynamic model was developed using MIKE-21 Flexible Mesh (FM) to quantify theinfluence of the terminal layout, dredged pocket configuration, and vessel presence on tidal circulation, freshet-driven flows, and extreme-event conditions. Baseline simulations were performed using existing bathymetry and operational geometries, followed by proposed configurations that included …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 1, 2026 · pp. 39–49 Read article
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Effect of Span, Load Intensity, and Beam Geometry on Stress and Deflection Behavior of RCC Beams
Abstract: This study investigates the influence of variations in beam geometry, span, load intensity, and permissible stresses on the structural behavior of reinforced concrete beams. Using classical bending and shear stress formulations, the effects of a 20% increase in key parameters were analytically evaluated. Results indicate that a 20% increase in beam span leads to a proportional 20% increase in beam depth, whereas a 20% increase in beam width or permissible …
Published in Journal of Structural Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 9–22 Read article
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A Novel Mathematical Exploration of Fractal Dynamics in Hyperbolic Spaces
Abstract: This research paper presents an original study on the behavior, generation, and properties of fractal structures within hyperbolic geometry. Unlike classical Euclidean fractals, hyperbolic fractals demonstrate accelerated boundary complexity and distinct scaling symmetries due to the curvature of the underlying space. The paper proposes new iterative models, analyzes geometric invariants, and explores potential applications in data visualization, network science, and theoretical physics. This research paper conducts an in-depth investigation into …
Published in Recent Trends in Mathematics · Vol. 3, Issue 1, 2026 · pp. 1–7 Read article