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183 articles for “Dynamic analysis”
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CFD Simulation on Ground Tube Heat Exchanger using Copper and Aluminum as Tube Material
Abstract: Renewable energy is free in nature and it must be brought into application. Due to use of air conditioning and its refrigerants global warming is a serious issue. Renewable energy is the main concept of an earth tube heat exchanger, which uses the thermal energy of the ground for cooling and heating of the fluid medium. Here, air is used as fluent working medium. The air cools in summer and …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 6, Issue 2, 2020 · pp. 49–74 Read article
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Computerized Fluent Simulation on Earth Tube Heat Exchanger Where Air as a Flow Medium
Abstract: In the present era renewable source of energy is free and abundant in nature and it must be brought into application. Due to excessive use of air conditioning systems, the chemicals cause global warming is a serious issue. The renewable energy is the main aim and objective of an earth tube heat exchanger, which uses the thermal energy of the ground for cooling and heating of the fluent. Here, Air …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 6, Issue 2, 2020 · pp. 49–68 Read article
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Modelling and Analysis of Five Phase AC Motor in D-Q Axis
Abstract: Abstract: In this paper, a quinary phase induction machine is dynamically modelled in D-Q axis. The quinary phase voltages are being converted into two component voltages, one along the direct axis and the other along the quadrature axis. The Speed and torque of quinary phase induction is then derived. The speed of the quinary phase induction motor is estimated using sensor-less method thereby reducing rate and increasing the reliability of …
Published in International Journal of Distributed Computing and Technology · Vol. 5, Issue 2, 2019 · pp. 20–42 Read article
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A Study on Effective Management and Financial Reporting Examines how Artificial Intelligence (AI) Affects Business Subfields
Abstract: This study examines how artificial intelligence (AI) transforms many business domains, including strategy, operations, finance, and marketing, and evaluates how it affects corporate expansion. The main goal is to uncover the mediating functions of excellent financial reporting and effective business management following AI integration. The research highlights artificial intelligence's dominance in commercial decision-making, crediting it to its ability to handle historical data, manage uncertainty, and provide probabilistic forecasts. In particular, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 9, Issue 2, 2023 · pp. 35–33 Read article
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Advances in Machine Learning and Data Analytics: A Multidisciplinary Synthesis
Abstract: Machine learning has emerged as a key driver of innovation across a wide range of fields. Its transformative potential is evident in natural language processing, computer vision, and real-time automation, where it addresses intricate challenges with remarkable efficiency. This paper delves into recent developments in machine learning, spotlighting techniques, such as semi-supervised learning frameworks, stable diffusion models for generative tasks, and advanced lightweight architecture for real-time defection detection. By integrating …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 1, 2025 · pp. 12–17 Read article
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Seismic Vulnerability Assessment and Enhancement of Steel Moment Resisting Frame with Hybrid Damping System
Abstract: Installation of energy dissipaters enhances the energy dissipation capacity of the structure. For an earthquake response, energy dissipation capacity and an innovative approach of design of these systems, this research work recommends use of Steel moment resisting frame (SMRF) enhanced with passive energy dissipaters. Non-linear time history analysis of a ten storied steel structure is carried out, with incremental dynamic loading of seven scaled earthquake ground motion time history records. …
Published in International Journal of Structural Engineering and Analysis · Vol. 7, Issue 1, 2021 · pp. 1–10 Read article
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Numerical Techniques Applied on Hydrostatic Bearing using Computational Fluid Dynamics
Abstract: In hydrostatic bearing, the oil or lubricant is supplied to the required place in bearing from external source that place is the recess. The oil enters axially and leaves perpendicularly. The important task for the purpose of analysis is finding pressure distribution in the recess. The problem here is that, it is possible to find out analytical solution for one dimension, but it is not possible to find out pressure …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 4, Issue 2, 2018 · pp. 1–10 Read article
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CFD Analysis of Hydrodynamic Journal Bearing
Abstract: Journal bearings have the longest history on scientific study of any class of fluid-film bearings. These journal bearings are widely used in most of the rotating machineries due to its high load-carrying capacity and formation of fluid-film thickness during the operation. This research paper represents performance evaluation of hydrodynamic journal bearing using Computational Fluid Dynamics (CFD) approach. For this study, two different geometrical bearings are considered (circular and non-circular) operating …
Published in International Journal of Manufacturing and Materials Processing · Vol. 4, Issue 2, 2018 · pp. 23–29 Read article
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A Comprehensive Analysis of Context-aware Recommender Systems Implemented Across a Range of Domains
Abstract: In many different fields, recommender systems are essential for helping users find pertinent and personalized material. Traditional recommender systems often underestimate the impact of contextual factors on user preferences. Context-aware recommender systems are a potential method that uses dynamic contextual data to increase recommendation accuracy and user satisfaction. This review paper examines the benefits of context-aware recommender systems in many fields and offers a detailed analysis of these systems. We …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 2, 2023 · pp. 9–19 Read article
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AI-Powered Traffic Management: Enhancing Urban Mobility and Efficiency
Abstract: AbstractUrban traffic congestion is a persistent challenge, resulting in economic setbacks, extended traveldurations, excessive fuel consumption, and environmental harm. The rapid urbanization and increasingnumber of vehicles have intensified this issue, highlighting the need for smarter and more efficienttraffic management solutions. With advancements in artificial intelligence (AI), innovative trafficcontrol strategies can be implemented to optimize urban mobility and alleviate congestion. This paperexplores AI-driven traffic management solutions, focusing on machine learning-based adaptive …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 32–36 Read article
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Experimental Investigation of Three Pass Helical Coil Heat Exchanger Keeping Constant Mass Flow Rate of Tube Fluid
Abstract: Heat exchanger is an adiabatic steady flow, open system in which two flowing fluid exchange or transfer heat without loosing or gaining any to the ambient. Heat exchangers are the important engineering systems with vast variety of applications including power generation, heating ventilation and air conditioning systems, nuclear, heat recovery systems, food and paper industries and many more. Helical coil structure configuration is very effective for heat exchangers because it …
Published in International Journal of Mechanics and Design · Vol. 6, Issue 2, 2020 · pp. 17–22 Read article
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Hydraulic Traffic Reduction Mechanism
Abstract: AbstractUrbanization and the surge in vehicle ownership have led to escalating traffic congestion, particularlyin densely populated metropolitan regions. Conventional traffic management systems, which depend onfixed lane structures and pre-set signal timings, often struggle to accommodate the increasing andunpredictable nature of traffic flow. This challenge necessitates the development of adaptive andintelligent traffic management solutions that can dynamically adjust to real-time conditions. A novelapproach to mitigating traffic congestion is the Hydraulic Traffic …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 18–23 Read article
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Design and Optimization of Gas Turbine Blades for High-Temperature Operations
Abstract: Abstract The design and optimization of gas turbine blades for high-temperature operations are critical to enhancing the efficiency and reliability of power generation and propulsion systems. These components operate under extreme conditions of heat, pressure, and mechanical stress, making their performance pivotal to the overall effectiveness of turbines. This study explores the key factors influencing blade performance, emphasizing the importance of material selection, thermal barrier coatings, aerodynamic design, cooling mechanisms, …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 10, Issue 2, 2024 · pp. 22–27 Read article
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Review of Silicon Reactivity of Self-assembled monolayer and its Properties
Abstract: In most cases, the assumption of perfect high viscosity between silicon and silver underlies the modelization of silicene on Ag(111). According to recent reports, growth does not take place on top of the Ag(111) terraces, but rather within the first layer of them. In this article, we present the results of a study that combines scanning tunnelling microscopy and density functional theory to simulate the nucleation process and reveal the …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 8, Issue 1, 2022 · pp. 29–33 Read article
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Machine Learning-Based Channel Estimation for 5G NR Systems: A Comprehensive Review of TDL/CDL Channel Models and CNN Architectures
Abstract: Accurate channel estimation is a fundamental requirement for reliable communications in fifth-generation New Radio (5G NR) systems, where highly dynamic propagation environments impose severe challenges on conventional pilot-based methods. This study provides a thorough analysis of channel estimate methods for 5G NR, including everything from contemporary deep learning (DL) techniques based on Convolutional Neural Networks (CNNs) to traditional Least Squares (LS) and Minimum Mean Square Error (MMSE) estimators. Our analysis …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Robot Kinematics and Neural Networks: A Summary
Abstract: The robot control problem can be divided into two main areas: kinematics control (coordinating the kinematics chain links to generate the robot’s desired motion) and dynamics control (driving the mechanism's actuator to obey the programmed positions and speeds). Further, the kinematics analysis is performed in two ways in robotics, with forward kinematics (FK) and inverse kinematics (IK). FK is defined as the mapping from joint space to Cartesian space (also …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 40–45 Read article
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ASSESSMENT OF FOUNDATION SIZE AND REINFORCEMENT USED FOR FOUNDATION BASE OF PIER FOR STEEL GIRDER RAILWAY BRIDGE.
Abstract: The analysis of foundation size and reinforcement is conducted with respect to the overall load exerted on the foundation base. This includes considering the load imposed by trains, the weight of the girder, and the pier. To ensure the structural integrity and stability of the foundation base, M25 grade concrete and Fe 500 grade steel are utilized. In order to counteract bending forces, 20 φ diameter steel bars are incorporated …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 9, Issue 1, 2023 · pp. 13–18 Read article
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Tracing the Trajectory: The Evolution of Interior Design in Indian Kitchens
Abstract: Abstract: This research delves into the historical progression and contemporary manifestations of interiordesign within Indian kitchens, tracing a comprehensive timeline from antiquity to the present day. The kitchen, an integral space in Indian households, has undergone a remarkable transformation, influenced by cultural practices, technological advancements, and socio-economic dynamics. The journey commences with ancient Indian civilizations, where kitchens were rudimentary spaces closely intertwined with daily rituals and culinary traditions. The architectural …
Published in International Journal of Architectural Heritage · Vol. 7, Issue 1, 2024 · pp. 43–58 Read article
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Development of Smart Fire Extinguishing
Abstract: The invention of smart fire extinguishing agents, which satisfy the growing need for efficient, eco-friendly, and adaptable fire suppression systems, is a significant advancement in fire safety. Traditional fire extinguisher chemicals, such as water, foam, and chemical powders, are effective, but they often have disadvantages, including toxicity, negative environmental effects, and inefficiency in difficult situations. Conversely, smart extinguishing agents maximize fire suppression through intelligent, tailored responses by utilizing advancements in …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 1–19 Read article
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A Comparative Study of Load Balancing Algorithms: Static Approaches vs. Real-time Adaptation
Abstract: Pay-per-use cloud computing offers scalable IT resources over the internet, making it a major paradigm in distributed computing. Because of its adaptability, it has been quickly adopted by various industries, which has accelerated the growth of data centers. In cloud computing, load balancing is essential for improving system performance, cutting down on execution times, and making the best use of available resources. This study investigates the effects of several load-balancing …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article