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131 articles for “traffic system”
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Socio-Economic Impacts of Rivers State Government Ring Road Project on Residents of Port Harcourt Municipality
Abstract: As nations strive towards improving the socio-economic well-being of its citizens, efficient transportation system in the form of ring roads have become a desideratum for reducing traffic congestion and enhancing movement of goods and services. The paper examines the impacts a ring road can have on residents of project area with emphasis on Port Harcourt. The Hazard and Effect Management Process (HEMP) technique developed by SHELL was used to examine …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 1, 2025 · pp. 42–51 Read article
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Assessing the Robustness of Machine Learning Models for Wireless Intrusion Detection Under Adversarial Traffic Perturbations
Abstract: As the Internet of Things (IoT) devices and wireless communication networks continue to grow rapidly, protecting systems from cyber threats has become increasingly important. Machine learning–based intrusion detection systems (IDS) have shown strong potential in detecting abnormal and malicious network activities, yet their effectiveness and resilience when facing adversarial attacks are still not sufficiently explored. This research evaluates Machine Learning (ML) models–XGBoost, random forest, and multi-layer perceptron (MLP)—in detecting attacks …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 29–34 Read article
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The Future of Electronic Communication Systems in the Digital Age
Abstract: Electronic communication networks underpin modern society, offering seamless interaction across geographical, social, and economic borders. These systems are transforming into faster, more reliable, and smarter ones as digital technologies improve. This article discusses the future of Electronic Communication Systems in the context of 5G Technology, IoT, AI, and Quantum Communication. These technologies should revolutionise data transfer by increasing capacity, lowering latency, and enabling real-time communication across platforms. Due to need …
Published in Recent Trends in Electronics Communication Systems · Vol. 13, Issue 1, 2026 Read article
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Adaptive Street Illumination System with Energy Harvesting
Abstract: This paper presents an Adaptive Street Illumination System with Energy Harvesting, developed using an Arduino Uno microcontroller, Light Dependent Resistor (LDR), Infrared (IR) motion sensors, and piezoelectric transducers. The system addresses the significant energy wastage of conventional street lighting by activating LEDs only when motion is detected during nighttime. The LDR detects ambient light to determine day or night conditions, while IR sensors identify the presence of vehicles or pedestrians. …
Published in International Journal of Electronics Automation · Vol. 4, Issue 1, 2026 Read article
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Design and Performance Analysis of Silicon Photonic Waveguides for High-Speed Optical Communication
Abstract: The exponential growth of data traffic in data centers and high-performance computing systems necessitates a paradigm shift from conventional electrical interconnects to high- speed, low-power on-chip optical interconnects. Silicon Photonics (SiP) is the leading platform for this transition due to its compatibility with CMOS manufacturing and the high- index contrast between silicon (Si) and silicon dioxide (SiO 2 ). This paper details the design, simulation, and comprehensive performance analysis of …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 29–37 Read article
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Radio Frequency Next-Generation Advances
Abstract: Radio frequency (RF) technology is a key enabler for modern wireless communications, driving the evolution of telecommunications, healthcare, aerospace, defence and the Internet of Things (IoT). Faster, more reliable and energy-efficient communication systems have been developed at a rapid pace due to recent discoveries in RF engineering. This article discusses novel advancements in RF technologies including enhanced antenna design, millimeter-wave communication, software defined radio, smart spectrum management, and RF-based sensor …
Published in International Journal of Radio Frequency Innovations · Vol. 4, Issue 1, 2026 Read article
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A Study on the Use of AI and Sensors in Aerospace
Abstract: The synergistic combination of modern sensors including artificial intelligence (AI) has significantly changed the aeronautics industry's ongoing quest for increased safety, efficiency, and autonomy. The examination of the critical role these technologies play throughout the whole aerospace lifecycle from design and production to flight operations and maintenance is examined in this research. The eyes and ears of contemporary aircraft, sensors give an unparalleled amount and quality of real-time data about …
Published in Journal of Aerospace Engineering & Technology · Vol. 16, Issue 1, 2026 Read article
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Advancements in Intrusion Detection: Tackling Imbalanced Network Traffic with Machine Learning and Deep Learning Techniques
Abstract: Malicious cyberattacks can frequently hide enormous amounts of typical data in unbalanced network traffic. It is very stealthy and obfuscating in cyberspace, which makes it challenging for Network Intrusion Detection Systems (NIDS) to guarantee the precision and promptness of detection. This essay investigates. Machine learning and deep learning are utilized for intrusion detection in imbalanced network traffic. It offers a novel method for addressing the problem of class imbalance termed …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 18–24 Read article
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VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion
Abstract: Road safety for bike riders remains a significant concern, with accident rates highlighting the need for advanced solutions to ensure rider protection and awareness. This paper presents “VERONICA: AI-Driven Edge System for Comprehensive Bike Safety and Assistance Through Multi-Source Data Fusion”, a voice-activated, continuously operating assistance system designed to provide real-time, intelligent solutions for various riding scenarios. VERONICA integrates accident detection, low-traffic route navigation, traction control advisories, and weather updates …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 14, Issue 1, 2025 · pp. 09–17 Read article
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Energy Efficiency and Awareness in Edge Computing: A Critical Review of Challenges, Strategies, and Future Directions"
Abstract: Edge computing enhances distributed systems by processing data near its source, yet its rapid growth, driven by IoT, 5G, and smart applications, escalates energy consumption across billions of devices. This study critically analyzes energy-saving techniques across hardware, software, and network layers, highlighting the role of AI tools and user education in promoting energy awareness. It explores trade offs between energy efficiency and system performance, identifies scalability challenges in large-scale deployments, …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 3, 2025 · pp. 32–36 Read article
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Smart Parking Solutions: Optimizing Urban Mobility Through Real-Time Apps
Abstract: The changing nature of urban transport has made the city more complicated, with a spiking number of vehicles and a lack of parking facilities. Smart Parking Solutions provide innovative solutions to solve this problem by using real-time information, mobile apps and IoT. The present study presents the aspect of integrating smart parking systems into the urban transportation systems and the role of real-time apps in maximizing parking efficiencies in relation …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 36–61 Read article
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An approach of Computer Vision Methods for Driver’s Drowsiness and Yawn Detection
Abstract: Numerous studies have demonstrated that 4,444 traffic crashes are primarily caused by driver drowsiness. Due to advancements in digital computer systems, tiredness behaviour may now be studied by researchers worldwide. The goal of this project is to increase road safety by preventing accidents caused by sleepy drivers. To view the driver's face, use real-time facial recognition technology. A driver's attentiveness and reaction time may be impacted by weariness, which raises …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 21–26 Read article
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ATM Network: A High-speed Communication Network
Abstract: Next-generation computers and communications will use asynchronous transfer mode (ATM). ATM networks employ compact, predetermined cells for message transmission, enabling them to efficiently utilize the same network for transmitting voice, video, and data across extensive distances. Most computer and telecommunications companies focus on ATM products and services. The building can also manage different and regular costs. Therefore, it is suitable for many vehicle types and has end-to-end encryption. ATM uses …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 34–39 Read article
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E-Empire: Brake & Acceleration In E-Cycle
Abstract: As e-cycles continue to gain momentum as an eco-friendly and efficient mode of transportation, understanding their key mechanical and electronic systems becomes even more vital. The report delves deeply into the nuances of braking mechanisms and acceleration technologies, emphasizing their roles in enhancing both safety and performance. By comparing mechanical disc brakes with hydraulic systems, it highlights the distinct advantages of each. For instance, hydraulic brakes, known for their superior …
Published in Journal of Automobile Engineering and Applications · Vol. 11, Issue 3, 2024 Read article
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Artificial Intelligence Enhanced Waste Sorting and Classification System for Urban Recycling
Abstract: This study explores the potential of Artificial Intelligence (AI) and Machine Learning (ML) to enhance waste management efficiency within urban environments. Rapid urbanization has resulted in a surge of municipal waste, which current systems often struggle to manage effectively. The proposed AI-enhanced waste sorting and classification system aims to optimize waste collection routes and accurately forecast waste generation trends, thereby reducing operational costs, fuel consumption, and traffic congestion. Additionally, AI-driven …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Smart Car Parking and Maintenance Systems: Leveraging IoT for Efficient, Sustainable Urban Transport
Abstract: One of the main objectives of the smart city aspect is to facilitate sustainable mobility, and one vital component of that is the creation of an intelligent parking system. The solution to the parking issue cities face is the allocation and monitoring of parking spaces. Using the results of this survey, we have investigated this issue. As a result, an effective parking management system is now required. We can provide …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 33–39 Read article
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Acoustic Sensing for City Flow: Quasi-Supervised Recognition of Sirens and Traffic for Urban Mobility Intelligence
Abstract: This paper frames environmental audio as a mobility telemetry source, extending a benchmark urban-sound corpus with transportation-critical classes—ambulance, firetruck, police, and traffic—and training spectrogram-based models under a quasi-supervised regime to support real-time city operations; leveraging 10-fold protocols, class-weighted objectives, and audiospecific augmentations (time stretch, pitch shift, SpecAugment, PatchAugment), the system benchmarks multiple CNN backbones combined with self-supervised learning paradigms enable the extraction of rich, discriminative acoustic representations, achieving strong multi-class …
Published in Trends in Electrical Engineering · Vol. 16, Issue 1, 2025 · pp. 42–50 Read article
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Design, Mathematical Modeling, and Dynamic Optimization of a Speed Breaker-Based Vehicular Kinetic Energy Harvester
Abstract: Decentralized energy harvesting methods are becoming more popular due to rapid urbanization and the rising need for sustainable infrastructure. The road-embedded vehicle kinetic energy harvester (VKEH) design, mathematical modelling, and experimental validation are presented in this work. This paper presents the structural engineering, continuum mathematical modeling, and experimental validation of an optimized road-embedded vehicular kinetic energy harvester (VKEH). The mechanism utilizes a spring- loaded, low-friction rack-and-pinion transmission coupled with a …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
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A Comprehensive Review of Deep Compressive Sensing for Efficient IoT Data Management
Abstract: The Internet of Things has revolutionized data-driven ecosystems and offers advanced services, such as live monitoring and automation in various domains: smart cities, healthcare, and industrial automation. However, with the exponential growth of IoT devices, comes a large amount of data generation, which poses considerable problems like network congestion, latency, and energy inefficiency. Compressive sensing (CS), one of the newest signal processing methodologies, has emerged as an enabler to meet …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 Read article