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157 articles for “Network Analysis”
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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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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G Networks
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speedexceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The framework …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 28–42 Read article
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Hybrid Signal Processing Framework for Seamless Integration of Analog and Digital Communication Systems in 6G Networks
Abstract: The next 6G phase of evolution of the communication system is expected to deliver data speed exceeding terabits per second, very low latency, and connectivity everywhere among heterogeneous devices. These performance goals can only be met through signal processing architecture paradigm shift. The paper will describe a Hybrid Signal Processing Framework (HSPF) which combines the analog and digital communication methods to leverage the complementary benefits of the two spheres. The …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 Read article
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PATrIoT: Precision Agriculture Through Internet of Things
Abstract: The paper report is on the design of the sensor network when connecting agriculture to the IoT. Reliability, management, interoperability, low-cost and commercialization are considered in the design. Finally, we share our experiences in both development and deployment. This paper developed the decision support system to forecast agricultural production using IoT sensors. This system was also a unified system that supports the processes sowing seeds through selling agricultural products to …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 2, 2019 · pp. 16–22 Read article
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Adaptive Task Scheduling for IoT Devices Using Improved Genetic Algorithms in Mobile Edge Computing
Abstract: In order to tackle the growing complexity of intelligent services while staying within the resource limitations of mobile devices, this research explores how to optimize task scheduling in the context of mobile edge computing. The study's proposal of a new algorithm that improves computational efficiency and energy utilization in devices enabled by the Internet of Things (IoT) becomes more relevant as the IoT grows in popularity. This approach maximizes computing …
Published in International Journal of Microwave Engineering and Technology · Vol. 9, Issue 2, 2023 · pp. 19–33 Read article
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TRANSMISSION PARAMETERS OF TWO PORT CIRCUITS USING SPICE SIMULATION
Abstract: Models for linear two port analysis are given. The ABCD parameter determination using SPICE2/Pspice is carried out. While the first procedure and files are for the calculation of ABCD parameters where the circuit is purely resistive and dependent sources, the second is for general two port network using linear elements and small signal models of active devices. In the second method the frequency description of analog behavioral modeling options of …
Published in International Journal of Microwave Engineering and Technology · Vol. 3, Issue 1, 2017 · pp. 11–17 Read article
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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Inverse ABCD Parameter Determination Using Spice
Abstract: Spice/Pspice Models using the inverse transmission parameters for linear two port analysis are given. The inverse transmission parameter determination for a circuit using SPICE2/Pspice is carried out. While the first procedure and files are for the calculation of Inverse ABCD parameters where the circuit is purely resistive and dependent sources, the second is for general two port network using linear elements and small signal models of active devices like BJT, …
Published in International Journal of Analog Integrated Circuits · Vol. 3, Issue 1, 2017 · pp. 14–19 Read article
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Mathematical and statistical analysis of operational data from transportation systems that impact the final result of greenhouse gas emissions and other atmospheric pollutants
Abstract: Abstract The main objective of this study is to identify which mathematical and statistical models are used to forecast greenhouse gas emissions and other atmospheric pollutants from transportation systems. The research demonstrates how mathematical and statistical tools are used to identify and anticipate future scenarios from an environmental perspective, thus contributing to better solutions for mitigating increased emissions. The research concludes that mathematical and statistical models can more accurately anticipate …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 2, 2025 · pp. 14–18 Read article
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Analysis and Design of Frequency and Gain of Dual Band Equilateral Triangular Microstrip Patch Antenna with DGS Using ANN
Abstract: A Dual-frequency equilateral triangular microstrip patch antenna using defected ground structure of c-band and s-band with enhanced gain has been designed with frequency of 2.82 GHz and 5.19GHz. The design and simulation of antenna is performed by CST.We have analyzed that after insertion of DGS(Defected Ground Structure) in equilateral triangular microstrip patch antenna presents marked improvement in gain. Artifical neural network is used in computation of frequency of equilateral triangular …
Published in International Journal of Microwave Engineering and Technology · Vol. 3, Issue 2, 2017 · pp. 19–31 Read article
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Revolution in Mobile Communication by HC3 Technology
Abstract: ABSTRACT This article describes the idea of Human Centered Communication and Computing (HC3) technology. The aim of HC3 is to counterpoint communication and enhance human capabilities through interfaces that may convey a user’s ideas, sensations, sensitivity and intent. We have a tendency to find out biological data interfaces to alter folks, to act with data via increased senses and limbs. In this article, we discuss the future possibilities of this …
Published in International Journal of Broadband Cellular Communication · Vol. 5, Issue 1, 2019 · pp. 14–20 Read article
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Genre Classification of Music Using Machine Learning
Abstract: One of the most important technological advances of the 21st century is artificial intelligence (AI) and machine learning. They are revolutionizing computers, banking, healthcare, agriculture, music and travel. A strong model has mastered many difficult learning tasks. Speech analysis is one area of artificial intelligence. This includes finding information about music, creating music, and categorizing music. Music data is one of the most complex source data available today. This is …
Published in International Journal of Distributed Computing and Technology · Vol. 8, Issue 2, 2022 · pp. 17–28 Read article
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Design and Implementation of Trans-Z-Source Inverter
Abstract: ABSTRACT This paper presents the impedance-source (Z-source) inverters concept to the transformer-based Z-source (trans-Z- source) inverters. The original Z-source inverter (ZSI) contains an impedance network of two inductors and two capacitors connected in a unique arrangement to interface the dc source and the inverter. It has buck and boost function that cannot be achieved by traditional voltage-source inverters and current- source inverters. In the proposed trans-Z-source inverter, the impedance network …
Published in International Journal of Distributed Computing and Technology · Vol. 4, Issue 2, 2018 · pp. 17–26 Read article
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Literature Review on Overcoming Graphene Dispersion Challenges in Ultra High Performance Concrete: A Review of Self-Dispersion and Bio-Polymer Encapsulation Strategies
Abstract: Abstract—Ultra-High-Performance Concrete (UHPC) is a new generation of cement-based material because of its higher compressive and tensile strength, increased durability, and higher resistance to environmental degradation. However, UHPC undergoes microcracking when subjected to mechanical and thermal loading, which can jeopardize the long-term performance of the structure, decrease service life, and cause expensive maintenance. Traditional solutions to enhance UHPC durability are centered on material densification and fiber strengthening, while these treatments …
Published in International Journal of Concrete Technology · Vol. 12, Issue 1, 2026 · pp. 31–46 Read article
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Modelling of Distance Relays and Impact of TCSC on the Protection of Long Distance Transmission Lines
Abstract: Power system protection is one of the most important and exciting topics, which has been attracting the attention of both academic institutions and utilities ever since the power systems came into being. For the proper operation of the power system, an effective, efficient and reliable protection scheme is desirable. The power system components, which include synchronous machines, bus bars, transformers, transmission lines, distribution systems consisting of complex as well as …
Published in International Journal of Electrical Power System and Technology · Vol. 4, Issue 1, 2018 · pp. 1–15 Read article
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Modelling and Simulation of Adaptive Traffic Control Systems: Electrical Engineering Techniques for Urban Applications
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These systems use real-time data …
Published in International Journal of Transportation Engineering and Traffic System Read article
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Modeling and Simulation of Adaptive Traffic Control Systems: Electrical Engineering Techniques for Urban Applications
Abstract: Traffic congestion is a ubiquitous challenge in urban areas, necessitating innovative solutions to improve transportation efficiency and alleviate gridlock. Traditional traffic signal control methods often prove inadequate in dynamically adapting to fluctuating traffic conditions, leading to increased travel times, fuel consumption, and emissions. In response, adaptive traffic control systems have emerged as a promising approach to mitigate congestion and enhance traffic flow in urban environments. These systems use real-time data …
Published in International Journal of Electrical Power System and Technology · Vol. 10, Issue 2, 2024 · pp. 1–8 Read article
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Development of a Blockchain Technology Framework for Agri-food Supply Chain Management
Abstract: Supply chain management involves effectively managing the movement of goods and services all the way from their origin as raw materials to their delivery to the final consumer. It involves all the steps involved in transforming, transporting, and delivering products to meet customer demand. In agri-food supply chain management, producers, distributors, and consumers are demanding greater transparency in the food sector due to a rise in agricultural mislabeling and negligent …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 22–28 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article