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157 articles for “Network Analysis”
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DESIGN of WATER DISTRIBUTION SYSTEM for TALOJA PHASE-II
Abstract: The importance of this project is to calculate the demand of water by forecasting the population of Taloja Phase- II, which is developing area and Design a Water distribution system that will provide adequate delivery of water to consumer for meeting their residential, commercial, industrial, and firefighting demands. In order to design, it is important to first obtain a plan of the area for which the water distribution system is …
Published in International Journal of Town Planning and Management · Vol. 7, Issue 1, 2021 · pp. 7–17 Read article
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Design and Assessment of Energy Efficient Improved LEACH Protocol for Wireless Sensor Network
Abstract: The recognition of wireless sensor networks has increased enormously due to the enormous possibility of the sensor networks to connect the physical world with the virtual world. While these devices rely on battery power and may be placed in unfriendly environments replacing them becomes a tedious task. Therefore, improving the energy of these networks becomes essential. This work provides methods for clustering and cluster head selection to WSN to improve …
Published in International Journal of Analog Integrated Circuits · Vol. 6, Issue 2, 2020 · pp. 30–37 Read article
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Bot Defender: A Collaborative Defense Framework for Botnet Intrusion Mitigation
Abstract: Botnet attacks represent a significant threat to cybersecurity, compromising vast numbers of devices and causing extensive harm. BOT DEFENDER is a novel collaborative defense framework designed to mitigate botnet intrusions effectively. This framework leverages the power of collective intelligence, integrating data from multiple sources to detect and respond to botnet threats in real-time. By utilizing advanced machine learning algorithms, BOT DEFENDER can identify anomalous network behavior indicative of botnet activities, …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 · pp. 6–11 Read article
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A Survey on Propagation Models, Routing Protocol Models and Mobility Models of Wireless Networks
Abstract: In this paper, authors have provided a detailed categorization of various propagation model, different routing and mobility techniques currently used in wireless networks. This paper presents different propagation models, their path loss behavior and propagation techniques. Different routing techniques with distinguishing feature have been proposed, where numbers of parameters are selected for comparison to suggest which protocol may perform best in different wireless networks. Finally, highlighting operation and analysis of …
Published in International Journal of Distributed Computing and Technology · Vol. 4, Issue 1, 2018 · pp. 12–24 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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A Study of Delta Modulation Techniques for Bandwidth- Efficient Signal Transmission
Abstract: Delta modulation is an important signal processing technique widely used in digital communication systems for efficient analog-to-digital signal conversion and bandwidth reduction. With the increasing demand for high-speed and low-complexity communication systems, bandwidth-efficient transmission methods have become essential in modern telecommunication networks. This study presents a comprehensive analysis of delta modulation techniques and their role in improving signal transmission efficiency in digital communication environments. The paper examines the operating principles …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 1, 2026 · pp. 31–43 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Traffic jams and safety on the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It can identify and differentiate the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine learning on real-time …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Abstract: Traffic jam and safety at the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It is capable of identifying and differentiating the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Intelligent Communication Networks for Telematics and Telemetry Applications: A Comprehensive Review
Abstract: Intelligent communication networks have become a fundamental component of modern telematics and telemetry systems, enabling reliable, real-time, and data-driven communication across various industrial, transportation, healthcare, and environmental monitoring applications. The rapid growth of wireless communication technologies, Internet of Things (IoT) devices, cloud computing, and artificial intelligence has significantly enhanced the efficiency, scalability, and adaptability of telematics and telemetry infrastructures. This review paper presents a comprehensive analysis of recent developments in …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 46–57 Read article
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Landslide Monitoring, Detection and Warning System by Wireless Sensor Network (WSN)
Abstract: Wireless sensor network (WSN) is one of the most hopeful field and has uncountable applications in the real-time systems. Execution of WSN in real-time system for landslide detection and warning system is discussed in the present paper. Sliding of rocks and soil is called landslide. It is triggered mostly because of heavy rainfall or melting of snow and can cause loss of lives and property. Using real-time monitoring the landslide …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 3, Issue 2, 2017 · pp. 24–28 Read article
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Evaluating the Impact of Intelligent Traffic Management Systems on Urban Congestion and Emission Levels
Abstract: AbstractUrban congestion and vehicle emissions represent critical challenges in densely populated citiesworldwide, posing risks to both travel efficiency and environmental health. As urbanizationintensifies, traditional traffic management approaches often fall short of alleviating congestion,resulting in longer commute times, increased fuel consumption, and higher pollutant emissions. Thisstudy evaluates the effectiveness of Intelligent Traffic Management Systems (ITMS), an advancedapproach leveraging adaptive traffic control technologies, in reducing both congestion and emissions.Through a combination of …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 2, 2024 · pp. 15–19 Read article
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Structural Analysis and Design Considerations for Flyover Bridges
Abstract: AbstractBridges serve as essential components of transportation networks, facilitating the movement of vehiclesand pedestrians across obstacles, such as rivers, valleys, and roads. The stability of a bridge largelydepends on the strength and structural capacity of its deck slab. The deck slab must endure both its ownweight and the additional loads imposed by vehicles. A key aspect of bridge design is assessing theflexural stress acting on the deck slab to determine …
Published in International Journal of Structural Engineering and Analysis · Vol. 11, Issue 1, 2025 · pp. 1–17 Read article
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A Study on AI in 7G Mobile Communication
Abstract: The imminent transition from 5G to the seventhgeneration (7G) mobile ecosystem promises to redefine connectivity through unprecedented data rates, pervasive ultralow latency, and holistic integration of terrestrial, aerial, and spaceborne networks. Central to this evolution is Artificial Intelligence (AI), which is poised to become the nervous system that orchestrates, optimizes, and secures the hyperdynamic 7G fabric. This paper surveys the emerging AIdriven paradigms that will underpin 7G, focusing on three …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–39 Read article
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Advanced Nanotechnology: A Bibliometric Analysis of Environmental Solutions
Abstract: Advanced nanotechnology has emerged as a revolutionary discipline with considerable capacity to address urgent environmental issues. This report provides a thorough bibliometric analysis of worldwide research trends that connect advanced nanotechnology with environmental solutions. We looked at articles from key scientific databases, including Scopus and Web of Science, to find growth patterns, top countries, significant institutions, collaborative networks, and new thematic areas. The results show that scholastic production has grown …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 12, Issue 1, 2026 · pp. 9–19 Read article
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Development of Piped Gas Service in São Paulo, Brazil (1900–2000) and its’ Growth in 21st Century through the Hierarchical Analysis of Urban Indicators
Abstract: This paper presents an overview of piped gas in the city of São Paulo (Brazil) since its implementation in 1900 until its expansion in 2000. After this, are worked 27 urban indicators represented by four groups of study: quality of life, urban planning, consumption projection and costs of civil construction. These indicators are applied in a group of 24 districts using the analytic hierarchy process. This methodology intends to show …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 1, Issue 1, 2015 · pp. 25–36 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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Modelling and Simulation of Complex Power System Network to Prevent Blackouts
Abstract: A complex power system network consists of different elements of the power system such as generators, motors, transformers, transmission and distribution lines, relays, circuit breakers etc. In this, a complex network is being modeled and simulated accordingly in order to prevent unwanted blackouts occur due to various climatic as well as system disorders. This aims to prevent such unwanted blackouts that cause very harmful effect to every stage of human …
Published in International Journal of Analog Integrated Circuits · Vol. 2, Issue 1, 2016 · pp. 43–49 Read article
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Tools and Concepts for Building A Collaborative Project Discovery and Development Platform: A Literature Review
Abstract: Collaborative project platforms have become indispensable in modern project management, especially with the rise of remote work, accentuated by the COVID-19 pandemic. This literature review synthesizes recent studies to explore the dynamics of collaborative project platforms, focusing on tool choices, usage patterns, and challenges. Organizations need to be ready to take on the obstacles that come with implementing projects. This study collects information on the objectives and issues faced by …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 13–18 Read article
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Classification of Fetal ECG Arrhythmia by Using Advance Hybrid Deep Learning Technique CNN-LSTM
Abstract: Fetal heart abnormalities, particularly fetal heart arrhythmias, are becoming an increasing concern in maternal healthcare. Early and accurate detection remains challenging due to limitations in conventional diagnostic techniques and inadequate signal processing methods. Existing studies have applied various machine learning and deep learning approaches; however, capturing the complex characteristics of fetal electrocardiogram (ECG) signals remains a significant gap. This study proposes an advanced deep learning-based approach for detecting fetal heart …
Published in International Journal of Cardiovascular Nursing · Vol. 12, Issue 1, 2026 · pp. 27–36 Read article
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Comparison Analysis of Lumpy Skin Disease Detection System Using X-Ray Images of Animals with the Help of Deep Learning
Abstract: Lumpy Skin Disease (LSD), caused by the Capripoxvirus, is a highly contagious viral infection impacting cattle and other livestock, resulting in significant economic losses due to decreased productivity and mortality. Early detection is critical to mitigate its spread and reduce its impact on agriculture and dairy sectors. This study investigates the efficacy of deep learning methodologies for detecting LSD through X-ray images, offering a non-invasive diagnostic approach to identify internal …
Published in International Journal of Animal Biotechnology and Applications · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article