Search
249 articles for “mobility”
-
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
-
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
-
A Review on LIFI- Data Transmitting System
Abstract: Using visible light as a channel for high-speed data transfer, Li-Fi (Light Fidelity) is a quickly developing wireless communication technology that offers a highly effective and cutting-edge substitute for traditional radio frequency (RF)-based systems like Wi-Fi and Bluetooth. With the exponential growth of connected devices and the increasing demand for faster and more reliable communication, the RF spectrum is becoming congested, leading to reduced performance and interference issues. In order …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
-
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
-
Design and Implementation of an IoT-Based Smart Lux Level Controller for Intelligent Lighting System
Abstract: In order to improve the automation and effectiveness of lighting systems in smart buildings, this research details the development of a Smart Lux Level Controller based on the Internet of Things (IoT). Using a BH1750 light sensor, the system continually measures the ambient lux levels and instantaneously adjusts the artificial lighting intensity to ensure optimal illumination. An ESP32 microcontroller analyzes sensor data and controls lights using relay switches or dimming …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
-
Predicting Traffic Congestion in Mumbai Using Artificial Intelligence
Abstract: Abstract — Mumbai's ongoing traffic problems are brought on by the city's fast urbanization, population expansion, and growing reliance on private automobiles. The majority of traffic management technologies in use today are reactive, frequently reacting only after congestion has already arisen. Using information from a variety of sources, such as commuter surveys, weather reports, and traffic incident logs, this study explores the application of artificial intelligence (AI) and machine learning …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 2, 2026 Read article
-
Chemical Synthesis Strategies and Reaction Mechanisms in Self-Healing Polymeric Materials: A Comprehensive Review
Abstract: Self-healing polymeric materials are one of the most rapidly growing and technologically transformative classes of smart polymeric materials. Such materials offer the ability to autonomously repair damage and retain & restore functional performance. This capability is very important for polymers, which undergo mechanical failure, micro- cracking, delamination, photo-oxidation, or thermal degradation during service environments. The last decade has been remarkable for developments in self-healing polymers, ranging from extrinsic capsule-based approaches …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 1, 2026 · pp. 26–34 Read article
-
RF Integrated Circuits: Fundamentals & Basic Concepts
Abstract: Radio Frequency Integrated Circuits (RFICs) are essential building blocks of current wireless communication systems, integrating high frequency analogue components on a single semiconductor chip. Such circuits have a wide use in applications like mobile communication, satellite systems, radar, wireless networking and Internet of Things (IoT) devices. RF integrated circuits are designed to function efficiently at radio frequencies with low power consumption, small size and good performance. The future of wireless …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 24–31 Read article
-
Microwave Frequency Optimization Techniques for High-Speed Wireless Communication
Abstract: The rapid growth of mobile devices, cloud computing, Internet of Things (IoT), smart applications, and high-definition multimedia services has significantly increased the demand for high-speed wireless communication systems. Microwave communication technologies play a vital role in modern wireless networks because they provide large bandwidth, high data transmission rates, low latency, and efficient spectrum utilization. Microwave and millimeter- wave frequencies are widely used in satellite communication, radar systems, wireless broadband, and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 14–21 Read article
-
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
-
A Smart App-Based Irrigation System for Sustainable Agriculture
Abstract: Abstract : Agriculture is significant factor in meeting up with the needs of the future, as well as the world's population that is likely to increase significantly in the coming years but agriculture is highly dependent on the availability of water. In many places erratic rains and scarce water resources have meant traditional irrigation methods have been inefficient and unsustainable. Farmers often use fixed time or judgment in irrigating the …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 · pp. 41–49 Read article
-
A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 12–17 Read article
-
Mitigation Measures and Disaster Preparedness: Kapkese Landslides in Kokwet Sub-Location, Kericho County, Kenya
Abstract: Abstract: The Kapkese landslide disaster struck again in December 2015, precipitated by intense, prolonged heavy rainfall from El Niño rainstorms that devastated much of Kenya. Located in the remote Kokwet Location within Kipkelion West Constituency, Kenya, this rural village has endured recurrent geohazards, most notably a deadly May 2003 event that buried a homestead, resulting in the tragic loss of a mother and her three young daughters. These incidents have …
Published in International Journal of Geological and Geotechnical Engineering · Vol. 12, Issue 1, 2026 Read article
-
A Machine Learning-Based Framework for Urban Traffic Congestion Prediction and Control Using Intelligent Transportation Systems
Abstract: Abstract Traffic congestion remains a critical challenge in rapidly expanding urban areas, causing increased travel delays, excessive fuel consumption, environmental degradation, and economic inefficiencies. Traditional traffic management approaches are often insufficient, as they lack the ability to respond dynamically to continuously changing traffic conditions. This study proposes a novel data-driven framework for the prediction and management of traffic congestion using Intelligent Transportation Systems (ITS). The methodology integrates real-time and historical …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
-
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
-
Second-Life Battery Applications and Recycling Technologies of EV in India: A Comprehensive Review
Abstract: Abstract The rapid uptake of electric vehicles (EVs) worldwide is creating a new challenge of end-of-life (EoL) lithium-ion batteries (LIBs). As EV penetration accelerates under national initiatives such as the National Electric Mobility Mission Plan and Faster Adoption and Manufacturing of Electric Vehicles (FAME), the country faces an emerging challenge of managing end-of-life batteries. This paper examines technical pathways for second-life reuse of EV batteries (e.g. stationary energy storage, grid …
Published in International Journal of Manufacturing and Materials Processing · Vol. 12, Issue 1, 2026 · pp. 15–24 Read article
-
Hybrid Machine Learning and Deep Learning approach for Adaptive congestion control in 5G/6G Network
Abstract: The rapid growth of data traffic, fueled by emerging applications such as autonomous systems, augmented reality (AR), virtual reality (VR), and the Internet of Things (IoT), poses major challenges for modern communication networks. With the rollout of 5G and the continuous transition to 6G, sophisticated congestion control techniques are needed to satisfy the demanding requirements of massive machine-type communication (mMTC), ultra-reliable low-latency communication (URLLC), and improved mobile broadband (eMBB). Conventional …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
-
Smart Electricity Consumption Monitoring and Billing System
Abstract: Electricity consumption monitoring is essential for optimizing energy use and reducing costs. Traditional meters provide only cumulative readings, leading to inefficiencies and billing discrepancies. This research presents a smart electricity consumption monitoring and billing system that enables users to track real-time power usage and generate automated bills based on actual consumption. A hardware device measures voltage and current, calculates power consumption, and transmits data to a web-based platform via the …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 2, 2025 · pp. 8–15 Read article
-
CAE Analysis and Material Selection for Chassis of 4-Wheel Efficycle
Abstract: ABSTRACT This paper presents a comprehensive Computer-Aided Engineering (CAE) analysis and material selection study for the chassis of a four-wheel Efficycle — a hybrid human-electric powered vehicle designed for student competitions and sustainable mobility applications. The objective of the study is to evaluate the structural integrity, stiffness, and crashworthiness of the chassis under various loading scenarios including front impact, side impact, rollover, and torsional loads. Using CAD models developed in …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 9–18 Read article
-
Predicting User Engagement on Social Media: A Comparative Study of Machine Learning-based Modeling Approaches
Abstract: Abstract Even while mobile social apps are becoming more and more important in people's daily lives, little is known about the elements that motivate users to interact with these apps. The goal of this work is to analyze and define the transition patterns of individual users' in-app actions as a temporally changing action graph. According to our investigation, action graphs are a useful tool for characterizing user behaviour patterns and …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 41–62 Read article