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328 articles for “Network Simulator”
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Green AI-Enabled Opto-Electronic Communication Systems for Carbon-Neutral Digital Networks
Abstract: The rapid expansion of digital communication infrastructure, driven by cloud computing, Internet of Things (IoT), 6G networks, and artificial intelligence applications, has significantly increased the energy consumption and carbon footprint of modern communication systems. Conventional optical communication networks often rely on static resource allocation and energy-intensive signal processing mechanisms, resulting in inefficient utilization of network resources and elevated operational costs. This study proposes a Green Artificial Intelligence (Green AI)-Enabled Opto-Electronic …
Published in Trends in Opto-electro & Optical Communication · Vol. 16, Issue 2, 2026 Read article
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A Neural Network Approach to Study the Bandwidth of C-Shaped Microstrip Antenna
Abstract: This paper presents the use of artificial neural network for the estimation of frequency band and bandwidth of a line feed C-Shaped Microstrip patch antenna. The results obtained by using ANNs are compared with IE3D simulation and found quite satisfactory. The designed antenna operates in the frequency range (1.735 to 1.945 GHz). The antenna is designed using glass epoxy between the ground plane and patch and simulated on the Zeland …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 2, Issue 3, 2015 · pp. 24–30 Read article
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Leveraging Generative AI for Test Case Creation in Complex Systems
Abstract: Modern software systems exhibit increasing complexity, demanding sophisticated testing methodologies to ensure reliability and functionality. Traditional manual testing approaches often struggle to keep pace with this complexity, leading to inadequate test coverage and increased risk of unforeseen issues. This study explores the potential of Generative AI (GAI) in revolutionizing test case creation for complex systems. We delve into the practical application of GAI techniques, such as Variational Autoencoders (VAEs) and …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 16–22 Read article
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Design and Analysis of FIR Filter using Neural Network
Abstract: This paper is intended to provide an alternative approach for comparison of FIR digital filter by using neural network. This proposed approach establishes relation between (I) order and main width lobe of filter and (II) order and cutoff frequency of filter. In this paper is used FDA tool to design digital FIR filters of different orders and neural network tool box to compare different filters. As the simulation results show, …
Published in Current Trends in Signal Processing · Vol. 3, Issue 2, 2013 · pp. 9–14 Read article
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An Integrated Simulation Framework for Predicting Dielectric Breakdown and Electrical Aging in Epoxy-Silica Composite Insulation Systems
Abstract: This paper provides a combined computation approach in forecasting the dielectric breakdown and electrical aging within epoxy-silica composite of insulation system. The approach will consist of a three-complementary methodology (a combination of computing electric field using the finite element analysis, estimation of the probability of failures or breakdowns using Weibull statistics, and prediction of degradation tendencies using artificial neural networks). The epoxy-silica composites are of 10-40 volumes fillers. The simulations …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 339–376 Read article
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Intrinsic Evaluation of Graph Embeddings: Assessing Clustering and Community Detection Performance
Abstract: This paper presents an intrinsic evaluation of some graph embedding techniques on clustering and community detection tasks. We analyze a diverse set of embedding methods, ranging from traditional techniques such as Laplacian eigenmaps to more recent approaches like graph autoencoders, high-order proximity preserved embedding (HOPE), and graph attention network (GAT), using two widely studied datasets, Cora and CiteSeer. Our evaluation relies on two main metrics: Silhouette score with respect to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 40–48 Read article
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Comparative Analysis of Distributed Energy Efficient Clustering Protocols in Heterogeneous Wireless Sensor Network
Abstract: Wireless Sensor Networks have huge applications in the area of military, health and infrastructure protection etc. The various features of WSN such as dynamic topology, application specific and self configurable made it to be application to vast areas, but a limitation is also there which is power constraint nature of WSNs. There evolved many transmission approached to estimate cost of energy consumption in WSNs, out of which cluster based scheme …
Published in Journal Of Network security · Vol. 8, Issue 2, 2020 · pp. 1–7 Read article
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Investigations with WDM Network using Optical Cross Connects
Abstract: AbstractOptical cross-connects are key part of the wavelength division multiplexed based optical communication networks. Accordingly, this paper is focused on the performance evaluation for the optical cross-connects. Here, WDM system for the non-return to zero with 100 GHz channel to channel spaced network has been designed. The optical link’s performance has been numerically simulated and successfully explored for the numerous key design parameters at 20 Gbps data rate. Investigations inferred …
Published in Trends in Opto-electro & Optical Communication · Vol. 7, Issue 3, 2017 · pp. 1–6 Read article
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Ramifications of Artificial Intelligence and Cyber Security
Abstract: Artificial intelligence (AI) has pros and cons for cyber security: AI can improve network security, anti-malware, and fraud detection. AI can simulate cyberattacks, automate responses, and analyse enormous databases. AI-powered phishing and deepfakes are cyber risks. AI can potentially be attacked and become a liability for corporations. AI has transformed cyber security, bringing both new opportunities and challenges. AI-powered tools discover abnormalities faster, automate threat responses, and improve threat detection …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 1, 2025 · pp. 40–45 Read article
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Comparative Study of AI-Driven Fashion Trend Prediction System Using AI and ML: A Review
Abstract: To overcome the challenges in fashion trend forecasting, researchers have introduced several advanced and data-driven approaches. One such method uses a long short-term memory (LSTM) model combined with an encoder-decoder architecture to extract meaningful fashion content and recognize styles from product images. This model achieves higher accuracy in predicting upcoming fashion trends by incorporating varying price intervals and has shown impressive results when evaluated on the Amazon fashion dataset. Another …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 2, 2025 · pp. 35–41 Read article
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Improving Node Efficiency in Wireless Sensor Networks Using Advanced Clustering and Routing Techniques
Abstract: Many Internet of Things (IoT) applications, such as disaster relief, smart buildings, smart farming, and healthcare monitoring, have made use of wireless sensor networks (WSN). It is one of the alternatives to address different IoT difficulties in different contexts. One of the main problems with sensor networks is power efficiency. WSN operated on the Client-Server (CS) architecture in the past, however researchers suggested Mobile Agent (MA) based WSN to increase …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 2, 2024 · pp. 35–64 Read article
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Simulation of Different Propagation Models for WiMAX channel under Different Environments
Abstract: Today the Worldwide Interoperability of Microwave Access (WiMAX) technology is gaining popularity and gaining increasing acceptance as a Broadband Wireless Access (BWA) system. It is a IEEE 802.16 standard wireless communication technology that provides high speed data over a wide area. It is a point-to-point technology for using a multi-point wireless network. It has potential success in its line of sight (LOS) and non-linear (NLOS) operating conditions under the frequency …
Published in Recent Trends in Electronics Communication Systems · Vol. 8, Issue 2, 2021 · pp. 35–45 Read article
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Simulation and Analysis of Grid Integrated Solar PV System under Variable Climatic Conditions
Abstract: Infusing photovoltaic power into the utility network has earned expansive affirmation in nowadays of reasonable force source age and scattering. Lattice associated inverters have propelled inside and out with high-various assortment. Effectiveness, size, weight, steadfastness, etc have all improved in a general sense with the improvement of present and imaginative inverter arrangements and these factors have influenced the expense of delivering inverters. This paper shows a composing overview of the …
Published in Journal of VLSI Design Tools and Technology · Vol. 10, Issue 2, 2020 · pp. 26–33 Read article
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Scalable Key Management System for Wireless Sensor Networks
Abstract: AbstractThis paper is about the sympathy of the probable wireless sensor networks (WSN) application; moreover because of source margins, key supervision arrangement emerges as a demanding concern for WSNs. Individual of the foremost concern when manipulating a key supervision system method, is the network scalability. Certainly, the code of behaviour must sustain a large quantity of nodes to allow a bulky scale exploitation of the network. In this paper, we …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 36–46 Read article
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Node Deployment Techniques for Link Prediction in Heterogeneous Social Networks
Abstract: AbstractThis research analyses the coverage problem in heterogeneous social network system with two types of sensor nodes having different sensing ranges. The Particle Swarm Optimization (PSO) algorithm is implemented for coverage optimization in heterogeneous network system. This algorithm is used for finding the optimal deployment of the sensor nodes by using specific fitness function. The performance of sensor nodes after running PSO algorithm is evaluated by using Euclidean distances for …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 1, 2020 · pp. 16–22 Read article
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Revamp of Feed Preheat Network Using Aspen Hysys in a Kero Hydro-Desulphurization Unit
Abstract: The paper is based on the revamp of feed preheat network in a Kero hydro-desulphurization unit. This revamp is beneficial as it does not require additional equipment to raise the feed temperature. Desulphurization of crude is a catalytic process used in oil and gas refining industry to remove sulphur content from refined petroleum products. Previously, feed was charged from the crude distillation unit at 103°C. Due to envisaged changes, the …
Published in Journal of Petroleum Engineering & Technology · Vol. 7, Issue 2, 2017 · pp. 29–38 Read article
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Mechatronics Robot Navigation using Machine Learning through Prolog Programming Language
Abstract: A basic decision-making system is developed in this paper using Neural Network in Machine learningto explore a robot in concealed condition. The robot can move out of explicit labyrinths effectivelythrough modifying its bearing and speed persistently via the neural system model for machinelearning. Over the past several years, navigation tasks for mobile robots have been widely studied.There have been many attempts to introduce the usage of machine learning algorithms. Excellentperformance …
Published in Journal of Mechatronics and Automation · Vol. 8, Issue 1, 2021 · pp. 39–47 Read article
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Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
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Network Analysis and Synthesis Through Graph Theory as a Tool
Abstract: AbstractAs time went on, the systems to be dealt with increased enormously in size and complexity. Simultaneously, there has been an evolution in combinatory and graph theory, which led to producing a number of highly efficient graph theoretic algorithms devised with an eye on economy in time and computer storage requirements. Because of space limitations the current review cannot deal with the whole spectrum of relevant topics and will try …
Published in Journal of Microwave Engineering and Technologies · Vol. 6, Issue 3, 2019 · pp. 11–17 Read article
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Machine Learning Assisted Optimization of Nanoscale MOSFET Parameters Using TCAD Simulation
Abstract: This paper presents a machine learning (ML) assisted framework for the multi-objective optimization of nanoscale bulk n-channel metal-oxide-semiconductor field-effect transistors (nMOSFETs) with a 10 nm physical gate length, high-k HfO₂ gate dielectric, and TiN metal gate. Technology computer-aided design (TCAD) simulations employing drift-diffusion transport, Shockley-Read-Hall recombination, Lombardi mobility degradation, and density- gradient quantum correction models are used to generate a parametric dataset of 2,400 device configurations spanning gate length (L), …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 10–19 Read article