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328 articles for “Network Simulator”
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AI-Assisted Gain Scheduling for Real-Time Temperature Control in Chemical Reactors
Abstract: Temperature control in continuous stirred-tank reactors (CSTR) represents a critical challenge in chemical process industries due to inherent nonlinearities, time-varying dynamics, and parametric uncertainties. Conventional proportional-integral-derivative (PID) controllers with fixed gains often fail to maintain optimal performance across varying operating conditions, leading to temperature excursions that compromise product quality and safety. This paper presents a novel AI-assisted gain scheduling framework that integrates artificial neural networks (ANN) with adaptive PID control …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 24–33 Read article
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A Technical Blueprint for AI-Driven Localization in 6G Mobile Networks
Abstract: The advent of sixth-generation (6G) wireless systems promises unprecedented spatial resolution, ultra-low-latency, and pervasive connectivity, turning mobile localization from a peripheral service into a core enabler of immersive extended reality (XR), autonomous logistics, and digital twins. Yet, the sheer scale of dense terahertz (THz) deployments, the stochastic nature of reconfigurable intelligent surfaces (RIS), and the dynamic interference landscape render traditional model-based positioning techniques inadequate. This work investigates how artificial intelligence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 26–34 Read article
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The Electromagnetic Transients in Mixed Power Networks with Partial Undergrounding
Abstract: This paper deals with the electromagnetic transients in partially undergrounded mixed high voltage power networks. These networks can include several cable sections replacing parts of the overhead transmission lines. The analysis yields the transient voltage and current distributions along the normal and the partially undergrounded lines. Moreover, the results can indicate eventually existing localized voltage and current concentrations within the network. The study suggests an exact direct analytical distributed parameter …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 2, 2017 · pp. 1–13 Read article
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Electromagnetic Transients in Compensated Power Lines- Revisited: New Approach and Case Studies
Abstract: This paper addresses the simulation of the electromagnetic transients developed in high voltage power lines, which are initiated by lightning discharges. The analysis can handle both individual and simultaneous series inductive and shunt capacitive compensation types. The sizes and locations of the compensating elements are included in the analysis. The derived Laplace s-domain mathematical model applies the concept of the ABCD transmission constants representing equivalent two-port networks. The resulting currents …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 2, Issue 1, 2024 · pp. 19–26 Read article
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Novel Laplace-domain Approach to the Electromagnetic Transients in Compensated High Voltage Power Lines
Abstract: This paper addresses the simulation of the electromagnetic transients developed in high voltage power lines, which are initiated by lightning discharges. The analysis can handle both individual and simultaneous series inductive and shunt capacitive compensation types. The sizes and locations of the compensating elements are included in the analysis. The derived Laplace s-domain mathematical model applies the concept of the ABCD transmission constants representing equivalent two-port networks. Applying the relations …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 15–21 Read article
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Co-planar Waveguide Circular Ring Microstrip Patch Antenna for WLAN Applications
Abstract: AbstractA printed circular microstrip patch antenna with a four rectangular shape strip and co planar rectangular ground plane has been proposed. Four rectangles of dimensions 4.8mm x3mm are arranged in such a manner to achieve both the WLAN frequency band. The bandwidths of 341MHz and 414MHz are achieved having a resonant frequency of 2.37GHz and 5.45GHz respectively. This antenna is printed on the glass epoxy (FR4 lossy) of dielectric substrate …
Published in Journal of Communication Engineering & Systems · Vol. 6, Issue 3, 2016 · pp. 1–6 Read article
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Role of Hybrid Controller Based FACTS Devices in Relieving Power Crisis
Abstract: The power crisis is a global concern for research and development engineers. These issues may be summarized manifold. These issues may be sudden outage/ failure of power system network, considerable power loss on the line, the voltage flickers, lack of proper equipment’s to monitor and protection, presence of significant harmonic level in the line that affects the performance of the equipment connected to line. Some of these issues may persist …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 1, 2022 · pp. 1–10 Read article
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Comparative Analysis of Artificial Intelligence-based MPPT Algorithms for Wind Energy System
Abstract: By extracting maximum possible power from a wind generator system, the efficiency of the system can be increased. Radial basis function (RBF), feed forward back propagation (FFBP) and adaptive neuro-fuzzy inference system (ANFIS) are recognized as the universal estimators. This paper presents a single network based maximum power point tracking (MPPT) of a wind turbine system using these algorithms. The single network based maximum power extraction method is simple and …
Published in Journal of Power Electronics and Power Systems · Vol. 10, Issue 3, 2020 · pp. 7–18 Read article
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AI-Driven Predictive Maintenance Framework for Intelligent Vehicle Health Monitoring
Abstract: The accelerated development of smart and connected car systems made the necessity to find the accurate and real-time predictive maintenance solutions which would minimize the number of unexpected failures as well as increase the cars on-road safety. The current paper proposes an artificial intelligence-based hybrid predictive maintenance system that combines Long Short-Memory (LSTM) networks and the XGBoost predictor to provide a potent vehicle fault diagnosis, Remaining Useful Life (RUL) prediction, …
Published in Trends in Machine design · Vol. 13, Issue 1, 2026 · pp. 1–17 Read article
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Extended Switched Inductor Quasi Z Source Inverter for Photovoltaic Applications
Abstract: A novel extended switched inductor quasi Z source inverter is proposed in this paper for better voltage boosting with improved power factor and reliability. The operation of the proposed inverter is described with its equivalent circuit explaining operating states such as shoot through and non-shoot through states and outlining the relationship between output voltage, total harmonic distortion and power factor. Simple boost scheme is used for switching actions of the …
Published in Journal of Power Electronics and Power Systems · Vol. 7, Issue 2, 2017 · pp. 14–23 Read article
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Microstrip Textile Antenna for S-band Applications
Abstract: In this article, the proposed textile antenna has been studied with better results, high directivity, high gain, good return loss and multiple bands are obtained for wide range of applications in S-band with multiple bands. The substrate material of the proposed antenna is a jean which is a flexible material, the patch and partial ground plane is of copper. There is a modification in proposed textile antenna design with the …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 4, Issue 2, 2017 · pp. 27–31 Read article
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Self-Tuning Wireless Power Transfer System Using Reinforcement Learning for Dynamic Electric Vehicle Charging
Abstract: The rapid growth of electric vehicles (EVs) has intensified the demand for efficient, reliable, and user-friendly wireless power transfer (WPT) systems capable of supporting dynamic charging under varying operating conditions. This paper presents a self-tuning wireless power transfer system employing deep reinforcement learning (DRL) to optimize power transfer efficiency in real time. Unlike conventional WPT controllers that rely on fixed compensation parameters or predefined control rules, the proposed framework continuously …
Published in International Journal of Advanced Control and System Engineering · Vol. 4, Issue 2, 2026 Read article
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Estimation of Semi-Blind Channel for Two-Way Relay by Using CRB: Pilot-based and Random Pilot-based
Abstract: The main purpose of semi-blind channel estimation scheme is for frequency-selective channel estimation, for multi-input and multi-output (MIMO) on relay networks, for using high bandwidth efficient use of spectrum. This scheme motivate to the low complexity of system to allow exchange information users to users by using an intermediate relay node. Because of superposition of signals at the relay node, section receiving signal at the user terminals is affected by …
Published in Current Trends in Signal Processing · Vol. 7, Issue 2, 2017 · pp. 22–31 Read article
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Design of Folded Cascode Amplifier for SCL 180 nm Technology Node for Low Power Applications
Abstract: In this paper, a design and simulations of a Folded Cascode Amplifier at an SCL 180 nm Technology has been done and the different way to implement the design for a given specification has also been clearly demonstrated. The given design also clearly indicates the way to improve the various design parameters for a given specification of a circuit at this node. The way to reduce the power dissipation of …
Published in Journal Of Network security · Vol. 8, Issue 1, 2020 · pp. 22–31 Read article
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Numerical Modelling and Simulation of Improved Partial Transmit Sequence for PAPR Reduction in OFDM Communication System
Abstract: Channel capacity and peak average to power ratio are essential elements in offering dependable communication through wireless medium in this competing wireless communication system. The rating of an amplifier in an OFDM system, as well as prospective future candidates of 5G systems such as FBMC and UFMC, is affected by a high peak to average power ratio. The demand for channel capacity fluctuates due to the growing number of wireless …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 3, 2021 · pp. 33–39 Read article
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Direct Determination of the Frequency-Dependent Transmission Constants of Non-Uniform Two-Port Networks
Abstract: Due to space constraints and the expansion of electricity networks, transmission lines that cross close to one another are now commonplace. Power networks also commonly install higher operational voltage lines that share transmission corridors with lower voltage lines. Overhead transmission lines are the primary method for transmitting electrical energy across vast distances. This paper presents an efficient and direct technique for identifying the four frequency-dependent ABCD transmission constants of arbitrary …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 1–8 Read article
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A Comprehensive Review of CNN-Based Framework for Multi-Sign Detection of Diabetic Retinopathy in Fundus Images Using Public Datasets
Abstract: Diabetic retinopathy (DR) is one of the main causes of vision impairment. Blindness prevention and effective treatment depend on early detection. A thorough deep learning-based framework for the automatic segmentation and simultaneous detection of exudates, hemorrhages, and microaneurysms – three important DR indicators – from retinal fundus images is presented in this work. These three pathological signs’ corresponding annotated image patches, along with background (no-sign) areas, were used to train …
Published in Research and Reviews : Journal of Computational Biology · Vol. 14, Issue 3, 2025 · pp. 14–23 Read article
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Trends and Applications of Artificial Intelligence in Mechanical Engineering: A Review
Abstract: Artificial Intelligence (AI) has become a revolutionary force across various fields, including mechanical engineering, where it is redefining traditional approaches to design, manufacturing, maintenance, and overall system optimization. This review aims to provide a comprehensive introduction to AI and explore its diverse applications within the domain of mechanical engineering. The study begins with a foundational overview of AI, including key concepts such as machine learning, neural networks, deep learning, and …
Published in Journal of Mechatronics and Automation · Vol. 12, Issue 3, 2025 · pp. 30–35 Read article
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ML-Enhanced Self-Healing Fiber-Reinforced Polymer Composites with Embedded IoT Sensors for Damage Prediction
Abstract: Fiber-reinforced polymer (FRP) composites are widely used in aerospace and structural systems; nevertheless, the potential for microcracking and fatigue-induced performance degradation remains an obstacle with respect to improved service life. Traditional self-healing methods, while performing well on a chemical level, often lack real-time diagnostic awareness and adaptive control. To circumvent this, we developed a machine-learning augmented self-healing FRP composite, in which a DCPD–Grubbs catalytic matrix was combined with IoT sensor …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 188–208 Read article
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Depression Detection Using AI with Chatbot Support
Abstract: Depression is a major global health concern and a significant contributor to suicide rates worldwide. India reports a high number of suicide cases, making the early detection of mental distress and depression essential for timely intervention. This research presents an AI-based system for depression detection that integrates deep learning, natural language processing (NLP), and a chatbot for user support. The system analyzes facial expressions using convolutional neural networks (CNNs) and …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 01–08 Read article