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400 articles for “Sensor”
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Data Science for Environmental Modelling
Abstract: Abstract: Soil moisture is a critical Earth system variable linking atmospheric, hydrological, and ecological processes. However, observations are sparse and fragmented: in situ gauges provide point data, satellite missions (SMAP, SMOS, Sentinel-1) offer broad coverage at coarse resolutionQ, and land‐surface models (GLDAS, ERA5, etc.) yield estimates with their own biase. Here we propose a conceptual framework for integrated environmental data modelling, combining rainfall, temperature, and soil moisture information with machine …
Published in International Journal of Water Resources Engineering · Vol. 12, Issue 1, 2026 Read article
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Fast Lanes by Design: Quantifying RFID Electronic Tolling Impacts on Plaza Halt Times in Highway
Abstract: Abstract—Rapid urban growth and the steady rise in the number of vehicles have made congestion at highway toll plazas a persistent and costly problem. Long queues at toll booths not only waste travelers’ time but also increase fuel consumption, air pollution, and overall operating costs of the transport system. Traditional manual toll collection methods contribute significantly to these delays, as vehicles are required to stop for cash or card-based transactions. …
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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Facile Synthesis and Electrochemical Exploration ofHexagonal Copper Sulfide (CuS) Nanocrystals for EnergyApplications
Abstract: Copper sulfide (CuS) is a promising material for a variety of applications, including solar cells, lithium-ion batteries, sensors, and catalysts. In this current study, a facile technique for the synthesis of CuS nanocrystallites at modrate temperature 160°) without the use of any template or additives was reported. The reaction was carried out in a pressure reactor for 24 hours. he crystalline nature of the synthesized CuS nanocrystallites was confirmed using …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 12, Issue 1, 2026 · pp. 1–8 Read article
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Fast Lanes by Design: Quantifying RFIDElectronic Tolling Impacts on Plaza HaltTimes in Highway
Abstract: Abstract Rapid urban growth and the steady rise in the number of vehicles have made congestion at highwaytoll plazas a persistent and costly problem. Long queues at toll booths not only waste travelers’ timebut also increase fuel consumption, air pollution, and overall operating costs of the transport system.Traditional manual toll collection methods contribute significantly to these delays, as vehicles arerequired to stop for cash or card-based transactions. To address these …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Smart Fingerprint Attendance System Using Raspberry Pi
Abstract: This paper presents the design and implementation of a smart fingerprint-based attendance system tailored for classroom environments. The system uses a Raspberry Pi 3 A+, a fingerprint sensor, and Google Sheets for automatic, real-time logging of student attendance. The system offers an efficient, secure, and user-friendly solution to track student attendance while minimizing errors associated with traditional manual methods. It eliminates the need for paper-based attendance management and integrates seamlessly …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 20–27 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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A LOOK AT ANALOGUE SIGNALS
Abstract: Analogue signals are what classic communication and signal processing systems are built on. These signals are necessary for showing things that happen in the real world, such sound, light, and temperature. They change all the time. In electronics and communication, signals are necessary for sending information from one place to another. There are two main types of signals: analogue and digital. Analogue signals use continuous and smoothly changing waveforms to …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 11, Issue 2, 2025 · pp. 17–27 Read article
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IoT Antenna Design for Emerging Technologies: A Study
Abstract: The relentless expansion of the Internet of Things (IoT) is fundamentally transforming industries and daily life, interlinking billions of diverse devices. At the heart of this revolution lies the antenna – the critical interface that enables wireless connectivity, yet often presents the most significant design challenge. This paper explores the intricate landscape of IoT antenna design, addressing the multi-faceted demands driven by device miniaturization, pervasive connectivity, energy efficiency, and cost-effectiveness. …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 2, 2025 · pp. 39–55 Read article
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Predicting Water Distribution Pipe Thermal Abnormalities Caused by Wildfire
Abstract: The paper covers the temperature thermal control of the water distribution system by predicting the temperature exceeding the safe level at pipes' locations and shutting off the water access to the main distribution pipe. The advantages of predictive thermal control over setting the maximum allowed temperature are provided. The prediction uses a transient heat conduction model with an error function approximation for arbitrary distance from the surface. It is provided …
Published in International Journal of Environmental Chemistry · Vol. 11, Issue 2, 2025 · pp. 89–97 Read article
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Integration of CAD – CAM SYSTEM FOR NEXT – Generation smart manufacturing
Abstract: Abstract The emergence of Industry 4.0 has transformed traditional manufacturing by promoting automation, intelligence, and connectivity across production systems. Integrating Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) has become essential for achieving seamless data exchange, efficient product design, and precise manufacturing operations. This integration enables a unified digital workflow that connects design intent directly to machining processes, thereby reducing errors, improving productivity, and shortening product development cycles. Advanced technologies such …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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Artificial Intelligence Applications in Mechanical Engineering: A Pathway to Industry 4.0
Abstract: Abstract— The emergence of Industry 4.0 signifies a groundbreaking change in the industrial landscape, propelled by the integration of cyber-physical systems, the Internet of Things (IoT), and artificial intelligence (AI). This period represents the convergence of digital technologies with conventional manufacturing practices, resulting in the development of intelligent, interconnected, and autonomous production settings. For mechanical engineering—traditionally focused on physical systems, manual design, and empirical approaches—this shift has brought about an …
Published in International Journal of Mechanics and Design · Vol. 11, Issue 2, 2025 · pp. 1–6 Read article
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Fog Computing Architecture and Deployment in IoT
Abstract: The relentless proliferation of Internet of Things maneuvers generates colossal volumes of data at the network edge, straining traditional cloud-centric paradigms with inherent limitations in latency, bandwidth, resilience, and privacy. This necessitates a paradigm shift towards distributed intelligence. Fog Computing arises as a pivotal architectural paradigm, extending computational, storage, and networking capabilities closer to the data source, thereby mitigating latency, reducing bandwidth consumption, and enhancing real-time processing capabilities for critical …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 31–39 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 · pp. 1–9 Read article
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Intelligent Rocket and Missile Propellants: A Study
Abstract: The pursuit of enhanced performance, increased safety, and unparalleled mission adaptability in aerospace and defence systems necessitate a paradigm shift in propulsive technologies. Traditional rocket and missile propellants, while highly effective, possess intrinsic limitations related to fixed energy release profiles, inherent handling risks, and susceptibility to environmental factors. This paper introduces the concept of Intelligent Rocket and Missile Propellants: advanced chemical or energetic materials endowed with intrinsic sensing, self-monitoring, and …
Published in International Journal of Energetic Materials · Vol. 11, Issue 2, 2025 · pp. 1–8 Read article
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A Study on Nanorobotics
Abstract: A rapid expansion is taking place in the field of robotics, which has the ability to alter the worldin a variety of different ways. Robots are now an indispensable factor of our lives, performing awide range of tasks, including enhancing production and efficiency, paving the way for newdevelopments, and providing us with entertainment. It is imperative that the development ofrobotics be carried out in a responsible and ethical manner to …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 11, Issue 2, 2025 Read article
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Hydraulic Traffic Reduction Mechanism
Abstract: AbstractUrbanization and the surge in vehicle ownership have led to escalating traffic congestion, particularlyin densely populated metropolitan regions. Conventional traffic management systems, which depend onfixed lane structures and pre-set signal timings, often struggle to accommodate the increasing andunpredictable nature of traffic flow. This challenge necessitates the development of adaptive andintelligent traffic management solutions that can dynamically adjust to real-time conditions. A novelapproach to mitigating traffic congestion is the Hydraulic Traffic …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 11, Issue 1, 2025 · pp. 18–23 Read article
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A Literature Review on Comparative Analysis of Non-Contact AI Vision-Controlled Diameter Measurement vs. Conventional Methods in Flux Core Wire Drawing Measurement
Abstract: AbstractEnsuring precise diameter control in flux core wire drawing is crucial for maintaining welding wirequality and performance. Conventional measurement methods, which often rely on manual inspectionor mechanical techniques, face limitations in accuracy, consistency, and responsiveness. This studyexplores the application of AI vision-controlled systems to address these challenges by enabling realtime,high-precision, non-contact diameter measurement. Through an extensive review of researchpapers and patents, this paper examines the advancements in AI-based monitoring techniques …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 8–16 Read article
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Design and Implementation of Autonomous Robots for Crack Detection in Dam Walls: Analyzing Vision-Based Algorithms and Structural Health Monitoring
Abstract: AbstractThe maintenance of dam walls is critical to ensure structural integrity, safety, and efficient water management. Cracks and other structural deficiencies can lead to severe consequences if left undetected. Traditional inspection methods are labor-intensive, time-consuming, and often hazardous, necessitating the development of autonomous systems for effective monitoring. This study focuses on the design and implementation of autonomous robots equipped for crack detection in dam walls, with an emphasis on vision-based …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 11, Issue 1, 2025 · pp. 14–26 Read article
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Smart Agro-Advisory Systems: AI-Based Platforms for Real-Time Farmer Decision Support
Abstract: Agriculture is a vital sector for food security and economic growth, particularly in the developing world. Farmers, however, often face unpredictability of weather conditions, insect attacks, wasteful use of resources, and uncertainties of the market. Farmers' practices are mostly based on experience and intuition, which might not always be the best to apply. Smart Agro-Advisory Systems (SAAS) based on Artificial Intelligence (AI) offer real-time decision support to farmers, enabling them …
Published in International Journal of Microwave Engineering and Technology · Vol. 11, Issue 1, 2025 · pp. 8–14 Read article