Search
256 articles for “I-convergence”
-
Estimation of Power System Stabilizer Parameters Using Swarm Intelligence Techniques to Improve Small Signal Stability of Power System
Abstract: Interconnection of the power system utilities and grids presents a formidable challenge in front of design engineers. With the interconnections, power system has emerged as a more complex and nonlinear system. In recent years, small signal stability issues have gained much importance along with the conventional transient stability issues. Transient stability of the power system can be achieved with high gain and fast acting automatic voltage regulators (AVRs). However, AVRs …
Published in Trends in Electrical Engineering · Vol. 6, Issue 2, 2016 · pp. 16–25 Read article
-
Using Elliot Wave Theory and Fibonacci Retracement and in Algorithmic Trading
Abstract: The analysis technique used in predicting stock prices consists of Fundamental analysis and Technical analysis. These analyses are complex in nature and usually unreliable. The algorithmic trading systems offered today consists of primitive technical analysis techniques such as, simple moving averages, exponential moving average, moving averages convergence and diversions and volume weighted average price. The primitive nature of this techniques makes them very unreliable and has a low success rate. …
Published in Trends in Machine design · Vol. 7, Issue 3, 2020 · pp. 22–29 Read article
-
Finite Element Analysis of Thin Shell Loaded at the Center
Abstract: Thin rectangular shell structure with clamped edges subjected to concentrated load at the center is modeled as symmetric structure using ANSYS. The shell structure is examined with different length and width combinations. The SHELL181 element is used to model this structure. In general, the results show good agreement with mechanics of materials’ solutions or design tables’ results. A convergence study of the shell structure shows that 10000 elements are sufficient …
Published in Trends in Mechanical Engineering & Technology · Vol. 9, Issue 2, 2019 · pp. 12–20 Read article
-
Adapting Innovation: Synergy of Augmented Reality and IoT
Abstract: Augmented Reality (AR) serves as a transformative bridge between the tangible and virtual realms, seamlessly merging digital and physical realities for immersive, interactive experiences. By leveraging smartphones and cameras, AR ushers in a new era of technology, allowing users to engage with their surroundings in real-time, interacting with virtual objects as if they were tangible. In contrast, Virtual Reality (VR) focuses on digital simulation, replicating real or fictional scenarios within …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 3, 2023 · pp. 1–12 Read article
-
Android App-based Control and Parameter Update in Cloud
Abstract: The convergence of cloud computing and mobile technologies has paved the way for innovative solutions in various domains. This abstract explores the development of an Android application for controlling and updating parameters in the cloud. The proposed system leverages the ubiquity and versatility of smartphones to provide users with seamless control over cloud-based services and applications. The Android app serves as an intuitive interface through which users can remotely access …
Published in Trends in Opto-electro & Optical Communication · Vol. 13, Issue 3, 2023 · pp. 13–20 Read article
-
A Review: Application of Ant Algorithm in Transport Network Design Problems
Abstract: A dependable and reliable information source for transportation route planning and ready response to traveler demand, have become a hot topic of research these days. Transportation route planning, analysis and processing of traveler demand are among most important factors affecting response to traveler demand. Because of highly dynamic networks and frequent discontinuity, it is desirable to establish routes for fast delivery of people and goods, having a low probability of …
Published in Trends in Transport Engineering and Applications · Vol. 3, Issue 3, 2016 · pp. 17–22 Read article
-
Data Security using Cloud Computing Adaption Framework
Abstract: AbstractIt is important to provide real-time data security for huge amount of data in cloud computing. A recent survey on cloud security stated that security of users’ data has the highest priority as well as concern. This can be able to achieve with an approach, which is systematic, adoptable and well structured. Therefore, here a framework called as Cloud Computing Adoption Framework (CCAF) has been developed which has been customized …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 3, 2016 · pp. 25–32 Read article
-
Rapid Review Of Health Politics In Globalized World. A Swoc Analysis
Abstract: Public health is politics, as stated in the oxford textbook of public health. Political interventions can improve social determinants, which depend on political action or, more frequently, inaction. The proportion of Gross National Product (GNP) spent on health sector is considered as a quantitative indicator of political commitment of that country. Many major issues that dominate political life, such as housing, socioeconomic status, and employment, play a vital role in …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 1, 2024 · pp. 1–6 Read article
-
Generative AI-Driven Design Optimization of Lightweight Polymer Composites for Electric Vehicles
Abstract: Lightweight polymer composites are increasingly important for electric vehicles, where mass reduction must be achieved without compromising structural performance, thermal stability, manufacturability, or material reliability. This study develops a generative AI-driven inverse-design framework for identifying experimentally credible lightweight polymer-composite configurations under coupled EV-oriented constraints. Public experimental polymer-composite datasets were integrated through leakage-controlled preprocessing and group-aware validation. A multi-task neural surrogate predicted mechanical response, while a conditional variational autoencoder explored feasible …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Motors Using a Deep Learning-Based Torque Control with Torque Ripple Reduction under Nonlinear Magnetic Conditions
Abstract: This research discusses a deep learning strategy for torque management to minimize the effect of torque ripple in a nonlinear electric motor. Nonlinear electric motor losses may include: magnetic saturation, harmonic flux losses and inverter losses. In many cases when the system parameters deviate and/or instability issues occur, the traditional method with a model-based approach or PI control may encounter challenges. In this case, the authors proposed a hybrid approach …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
-
Grid-Connected Wind-Solar Hybrid System Analysis Using ETAP
Abstract: The Increasing integration of renewable energy sources in practice needs a thorough electrical performance assessment to guarantee reliable and stable operation of grid system. This work focuses on the modeling, simulation, and steady-state performance analysis of grid-connected wind-solar hybrid system through ETAP 19.0.1C. The suggested configuration is composed of 34.5 kV utility grid, eight units of wind turbine generators whose total installed capacity is 2.55 MW, six photovoltaic arrays, one …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
-
Artificial Intelligence and Constitutive Modeling Equations for Predictive Design of High-Performance Polymer Composites
Abstract: Growing polymer composite applications demand accurate mechanical prediction, yet complex interactions and conventional constitutive models limit predictive capability and require extensive calibration. To report these challenges, this research recommends a combined Artificial Intelligence (AI) and constitutive modeling approach based on an Enhanced Tasmanian Devil Optimizer-tuned Residual Neural Network with Multilayer Perceptron (ETDO-ResNet-MLP) for the predictive design of high-performance polymer composites. The study uses a publicly available Polymer Composite Property Dataset …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
Federated Learning Framework for Sustainable Multi-Scale Design of Recyclable Thermoplastic Graphene Composites in Smart Manufacturing Environments
Abstract: The growing demand for sustainable advanced materials has accelerated the development of recyclable thermoplastic graphene composites for next-generation smart manufacturing systems. The typical central optimization methods have challenges with data privacy, scalability, and poor collaboration between distributed manufacturing sites. By combining material informatics, edge intelligence and distributed artificial intelligence, this study introduces a Federated Learning (FL) framework to design recyclable thermoplastic graphene composites at multiple scales sustainably. The proposed framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 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
-
Role of Artificial Intelligence in Quantum Materials Research
Abstract: Quantum materials have emerged as a transformative class of advanced materials due to their extraordinary electronic, magnetic, optical, and topological properties governed by quantum mechanical phenomena. These materials are expected to revolutionize next-generation technologies such as quantum computing, spintronics, superconducting electronics, nanoelectronics, intelligent sensing systems, and energy-efficient devices. However, conventional methods for discovering and optimizing quantum materials are often expensive, time-consuming, and computationally intensive because of the enormous complexity of …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 13–27 Read article
-
From Documentation to Digital Stewardship: A Bibliometric Analysis of the Technological Transformation in Indigenous Knowledge Management
Abstract: This bibliometric study systematically maps the technological evolution of Indigenous Knowledge Management (IKM) over a 30-year period (1995–2025). It aims to identify the conceptual shifts and emerging technologies defining the transition from passive digital documentation to active algorithmic stewardship. The study utilises a scientometric approach to analyse a corpus of 835 unique documents retrieved from the Scopus database. Scientific-mapping techniques, including thematic evolution and keyword co-occurrence analysis, were performed using …
Published in Journal of Advancements in Library Sciences · Vol. 13, Issue 3, 2026 Read article
-
Grid Sensitivity and Its Impact on the Hydrodynamics of a Submerged Vessel
Abstract: Accurate prediction of hydrodynamic characteristics is essential for the design and performance assessment of underwater vehicles and offshore structures. Computational fluid dynamics (CFD) has emerged as an effective tool for analyzing fluid flow behavior around submerged bodies, enabling detailed evaluation of pressure distribution, drag forces, and flow patterns. In this study, the effect of mesh refinement on the hydrodynamic analysis of a DRDC-STR submarine nose section was investigated using ANSYS …
Published in Journal of Offshore Structure and Technology · Vol. 13, Issue 2, 2026 · pp. 1–8 Read article
-
"Onychomycosis in the Indian Subcontinent: Clinical, Microbiological and Therapeutic Perspectives,”
Abstract: Onychomycosis is a chronic fungal infection of the nail unit involving the plate, bed, and matrix, accounting for a substantial proportion of nail disorders encountered in dermatology practice worldwide. In South Asia—particularly India, Pakistan, Bangladesh, and Nepal—the burden is amplified by a convergence of climatic, socioeconomic, and healthcare-related factors. Hot and humid environmental conditions, widespread dermatophytosis, occlusive footwear practices, chronic wet work, and limited access to specialized mycological diagnostics contribute …
Published in International Journal of Tropical Medicines · Vol. 3, Issue 2, 2026 Read article
-
A Novel Approach To Local Minima Problem In Robot Path Planning Using Artificial Potential Field
Abstract: The Autonomous mobile robots have vast applications which include industrial robots, service robots, drone-based robots for supplying customer goods, robots for space exploration and much more. Path planning is one of the important steps of using mobile robots in any application. In autonomous mobile robot navigation, local minima describe a situation in which an object gets stuck with no next possible move attainable. This paper introduces a new concept to …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 69–81 Read article
-
Optimization of CMOS Current Mirror Load-based Differential Amplifier using Hybrid Cuckoo Search and Particle Swarm Optimization Algorithm
Abstract: Optimization of CMOS based analog circuits is becoming a practical solution for complex analog modules. There are number of evolutionary algorithms presented to optimize the analog circuits in different reported literatures. During optimization process, the optimal result may not be obtained with only individual algorithm or requires a more time. Therefore the hybrid algorithm of two or more algorithms is more effective method to obtain the goal. The Particle Swarm …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 71–78 Read article