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178 articles for “traffic”
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Vehicle Detection Using Image Processing
Abstract: Vehicle discovery and arrangement of vehicles assume a significant job in dynamic with the end goal of traffic-control and the executives. Right now propose a novel and productive calculation dependent on picture preparing utilizing aeronautical cameras for vehicle recognition and order-particularly in parkways. The calculation is basically founded on an arrangement of Edge-base techniques applied on a picture taken by sensing device of a street fragment. Calculation additionally utilizes thresholding, …
Published in International Journal of Analog Integrated Circuits · Vol. 7, Issue 1, 2021 · pp. 33–38 Read article
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Ingenious Parking System based on IoT
Abstract: The internet of Things (IoT) is in a position to attach billions of devices and services at any time in anywhere, with various applications. Recently, the IoT became an emerging technology. A metropolitan city has over a million of cars on its roads but it does not have enough parking space or it is difficult to seek out a parking lot. However, this paper proposes a modern solution to such …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 1, 2021 · pp. 9–13 Read article
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Pedestrian Detection System with Edge Computing Integration on Embedded Vehicle
Abstract: This article proposes use of edge computing in detection of pedestrian using a roadside mounted edge computer and conve ying position of pedestrian on road to all nearby vehicles so that vehicles can decide upon possibility of collision of itself with pedestrian and take suitable action to prevent possible accident. This approach of edge computing saves bandwidth, increases reliability and improves response time, and these three parameters are crucial in …
Published in International Journal of Broadband Cellular Communication · Vol. 7, Issue 1, 2021 · pp. 25–29 Read article
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Generation of Electricity with the Help of Speed Brakes
Abstract: Electricity is produced by replacing the conventional speed breakers with some simple mechanism. As vehicles pass over the speed breakers, they spin the rollers which are connected to a generator which in turn generate electricity. This method is an effectual way to produce electricity as the numbers of vehicles on the road are ever increasing. Also, the price of fabrication of the model is less. It can be effectively placed …
Published in International Journal of Mechanics and Design · Vol. 3, Issue 2, 2017 · pp. 1–6 Read article
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CyberSentinel: A Proposed Hybrid AI Framework for Real-Time Cyber Threat Intelligence
Abstract: Modern cyberattacks have grown far more sophisticated, frequent, and fast-moving than the signature-based intrusion detection systems many organizations still rely on. This paper proposes CyberSentinel, a hybrid artificial intelligence framework for real-time cyber threat intelligence (CTI) that combines three complementary techniques into a single detection pipeline: a Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) module for network traffic anomaly detection, a Random Forest ensemble for structured log classification, and a transformer-based …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Deep Learning Techniques for Optimizing Resource Allocation and Sustainability in the Next Generation of 6G Wireless Networks
Abstract: The upcoming sixth generation (6G) of wireless communication networks aims to meet challenging requirements such as ultra-reliable low-latency services, massive connectivity for billions of smart devices, and intelligent automation across highly diverse environments. Along with these goals, the issues of energy efficiency and environmental sustainability are becoming equally important, as the rising number of users and traffic volumes will directly increase power demand and carbon emissions. To lower total energy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Integrating Machine Learning with Edge Computing for Real Time Data Analytics
Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article
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Heritage-Sensitive Redevelopment of Bhuleshwar,Mumbai: A Sustainable Urban Development Approach
Abstract: Bhuleshwar, one of the oldest commercial precincts in South Mumbai, represents a unique urban landscape where traditional markets, religious institutions, historic architecture, and craft-based economies coexist within a dense mixed-use environment. Renowned for its imitation jewellery trade, flower markets, textile shops, and temple precincts, the area serves as an important cultural and economic hub. However, rapid urbanization, aging infrastructure, overcrowding, traffic congestion, deteriorating building conditions, inadequate sanitation, and redevelopment pressures …
Published in International Journal of Architectural Heritage · Vol. 9, Issue 2, 2026 Read article
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Integrated Telecommunication Systems: Networking,Security, and Emerging Technologies inNext-Generation Communication Networks
Abstract: Integrated telecommunication systems play a crucial role in enabling reliable, high-speed, and scalablecommunication across modern digital infrastructures. This paper presents a comprehensive review ofintegrated telecommunication systems with a focus on networking architectures, security mechanisms,and emerging technologies in next-generation communication networks. It examines the fundamentalcomponents of communication systems, including transmission media, communication channels, andstandardized networking protocols, highlighting their contribution to efficient data exchange andsystem interoperability. The study explores both wired and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 36–45 Read article
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A Review of Adaptive Power Control Methods in Broadband Networks
Abstract: Broadband communication networks have experienced rapid growth due to the increasing demand for high-speed wireless connectivity, multimedia services, cloud computing, and Internet-based applications. As network traffic and user density continue to rise, efficient power management has become an essential requirement for maintaining communication quality, improving spectrum utilization, and reducing overall energy consumption. Adaptive power control methods play a critical role in optimizing transmission performance by dynamically adjusting signal power according …
Published in International Journal of Broadband Cellular Communication · Vol. 12, Issue 1, 2026 · pp. 17–28 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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Next-Generation IoT-Based Air & Noise Pollution Monitoring System Using ESP32-S3
Abstract: Air and noise pollution have become serious environmental problems in modern urban areas due to rapid industrialization, increasing traffic, and population growth. Continuous monitoring of pollution levels is important to protect public health and maintain environmental safety. Traditional pollution monitoring systems are expensive and limited in coverage, which makes real- time monitoring difficult in many locations. To address this issue, this project proposes a low-cost Internet of Things (IoT) based …
Published in International Journal of Environmental Chemistry · Vol. 12, Issue 1, 2026 · pp. 69–75 Read article
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A Comprehensive Review of Transportation Network Design and Congestion Modeling: Methods, Challenges, and Emerging Trends
Abstract: Abstract As urbanization and travel demand continue to grow rapidly, traffic congestion has emerged as a widespread issue worldwide. The design of transportation networks and the modeling of congestion are essential disciplines that provide foundational tools for analyzing, predicting, and mitigating congestion impacts. This review complies key theories, modeling frameworks, optimization techniques, and algorithms used in network design and congestion modeling. We discuss static and dynamic models, equilibrium concepts, congestion …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Digital Twin-Enabled Structural Health Monitoring Framework for Real-Time Damage Detection in Civil Infrastructure
Abstract: Abstract The paper discusses how Digital Twin-enabled Structural Health Monitoring (SHM) restyles civil infrastructure by finding damage in real time, decreasing costs, and increasing safety levels. As opposed to the traditional inspection methods, Digital Twins apply virtual models and sensors to observe structures like bridges, dams, and buildings immediately, which reduces the repair costs by 30–50% and extends the project’s lifespan by 20–30%. This research studies four real-world projects, namely, …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 Read article
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A Walkable Path to Reduce Transport Emission in Commercial Streets: A Case of Putlighar Market in Amritsar City
Abstract: Commercial areas, along with being nodes for economic activities, also act as public spaces supporting various social and recreational activities. The multi-faceted nature of commercial streets demands safe, secure, and comfortable spaces in commercial areas that can be conducive to the social aspect of this land use. Commercial areas are also nodes for carbon emissions, with transport-related emissions in commercial areas providing a significant contribution to the emission profile. This …
Published in International Journal of Town Planning and Management · Vol. 11, Issue 2, 2025 · pp. 10–21 Read article
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Predictive Maintenance of 6G Infrastructure Using Artificial Intelligence
Abstract: The transition to Sixth Generation (6G) wireless infrastructure introduces unprecedented complexity, characterized by massive densification, reliance on the Terahertz (THz) spectrum, dynamic cell topologies driven by Reconfigurable Intelligent Surfaces (RIS), and stringent requirements for Ultra-Reliable Low-Latency Communication (URLLC). Traditional reactive or fixed-schedule maintenance protocols are fundamentally inadequate for sustaining the necessary service continuity and energy efficiency in this hyper-connected, heterogeneous environment. This paper explores the critical role of Artificial Intelligence …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 Read article
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The Future of Radar Antenna Design: A Study
Abstract: Radar antennas are the critical interface between the electronic heart of a radar system and theelectromagnetic waves that probe the environment, acting as the system's "eyes and ears." Theirdesign is a multi-faceted engineering challenge, inherently balancing often-conflictingrequirements to optimize performance across incredibly diverse applications – from long-rangesurveillance and air traffic control to autonomous vehicle sensing and precise weatherforecasting. This abstract introduces the fundamental principles and intricate considerationsgoverning radar antenna design, …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 2, 2025 · pp. 43–51 Read article
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Deep Learning with CNNs: A Survey of Techniques and Real-World Applications
Abstract: Convolutional Neural Networks (CNNs) have emerged one of the most powerfully used tools in deep learning, particularly in image and pattern recognition tasks. CNNs are being revolutionized through deep learning resulting in a dominant architecture in computer vision as well as other various domains. This paper provides a comprehensive survey of CNN-based deep learning, its methodologies, regularizations, and computational efficiencies. We also address the challenges and future directions of CNN. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 1–5 Read article
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A Review of Real-Time Human Detection
Abstract: The real-time human detection and counting system leverages deep learning and computer vision to detect individuals, classify gender, and estimate age from live video feeds or CCTV footage. Implemented using flask as a lightweight web framework, the system manages user authentication, detection control, and real-time result display. A Python-based detection script operates asynchronously, ensuring smooth execution, while results – including counts of males, females, and total individuals – are stored …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 29–39 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