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469 articles for “network sensors”
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A Technical Blueprint for AI-Driven Localization in 6G Mobile Networks
Abstract: The advent of sixth-generation (6G) wireless systems promises unprecedented spatial resolution, ultra-low-latency, and pervasive connectivity, turning mobile localization from a peripheral service into a core enabler of immersive extended reality (XR), autonomous logistics, and digital twins. Yet, the sheer scale of dense terahertz (THz) deployments, the stochastic nature of reconfigurable intelligent surfaces (RIS), and the dynamic interference landscape render traditional model-based positioning techniques inadequate. This work investigates how artificial intelligence …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 13, Issue 1, 2026 · pp. 26–34 Read article
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Physically Challenged People Health Monitoring System Using Blynk Server
Abstract: Because of the fast pace of modern life, keeping an eye on persons who are physically challenged is a challenging task. Examining the medical histories of persons who are physically challenged who live in their homes is a challenging endeavor. In this paper, a proposal was made to maintain a continuous health monitoring system for intelligent people who are physically challenged. The system would use sensors to monitor the health …
Published in Trends in Opto-electro & Optical Communication · Vol. 12, Issue 3, 2022 · pp. 11–18 Read article
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Automatic Identification of Obstacles and Crack Sensing Scheme in Rail Tracking System
Abstract: AbstractIn this paper, we have established into the identification of cracks and obstacles in rail tracking system. This system comprises of GSM modem, ultrasonic sensor, proximity sensor, PIC microcontroller to bring into the operation the crack detection and obstacle detection. The GSM modem contributes in transmission of railway geometric parameter of crack detection to the control room. Ultrasonic and Proximity sensors are used to detect the obstacles and crack in …
Published in Journal Of Network security · Vol. 7, Issue 2, 2019 · pp. 6–10 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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AI-driven Flood Surveillance and Dam Control: Advancing Resilience Through Data Science
Abstract: This study presents the development and real-world deployment of an intelligent system for flood monitoring and automated dam gate control using artificial intelligence (AI) and internet of things (IoT) sensors. Supervised machine learning models are developed to predict floods up to 48 h in advance. An automated dam gate operation system is designed to leverage the flood forecasts and real-time stream water levels for emergency control. The complete end-to-end infrastructure …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 2, 2023 · pp. 9–17 Read article
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A Comprehensive Survey on Energy Efficient Protocols for WSN
Abstract: In recent years, there is a rise in the variety of applications supported by wireless network systems and their success applied to completely different areas remote environmental watching and pursuit tracing. The WSN unit spatially distributed sovereign sensors to watch fitness like temperature, sound and pressure, etc. and transmit their information through the network to the main location. Recent advancement in wireless communication and physics has also enabled the event …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 2, 2020 · pp. 11–16 Read article
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IoT-based Patient Fall Detection and Alerting System for Patient Safety
Abstract: This paper presents an Internet of Things (IoT) based patient fall detection and alerting system designed to enhance patient safety in healthcare settings. Falls among patients, especially in hospitals or care facilities, can lead to severe injuries and complications. The proposed system utilizes wearable sensors integrated with IoT technology to continuously monitor the movements and activities of patients. Machine learning algorithms are employed to analyze sensor data in real time, …
Published in Journal of Microcontroller Engineering and Applications · Vol. 11, Issue 3, 2024 · pp. 9–14 Read article
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IOT-Driven Room Security: Face Detection and Pin Access Control
Abstract: In our ever-evolving digital world, ensuring the security of our personal spaces has become paramount. This research paper introduces a smart anti-theft system powered by the Internet of Things (IoT). It combines face recognition, PIN code access, and motion-triggered face verification to fortify room security. If an unauthorized person tries to enter, the system instantly alerts both the owner and authorized users, while automatically locking the room. The term "Internet …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 3, 2023 · pp. 12–17 Read article
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Communication Strategies and Designs for Patient Monitoring over Wireless Body Area Network-A Review
Abstract: As a significant technology for short assortment communication around the humanoid body, WBAN, a contemporary intelligent monitoring system, is envisioned to unbridle an upsurge of personalized, innovative and integrated uses in the field of medical, fitness, sports, entertainment, military and purchaser electronics. In WBAN, only few sensors are used which are implanted in body or positioned on the body. These tiny sensors placed on patient’s body measure main signs like …
Published in Journal of Advances in Shell Programming · Vol. 2, Issue 3, 2015 · pp. 5–15 Read article
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Cognitive Polymer Composite Systems for Autonomous Biomedical Response
Abstract: Cognitive polymer composite systems: A novel form of intelligent biomaterials with the capability to sense, process and respond to real time physiological stimuli on their own. The present paper offers a comprehensive platform to integrate stimulus responsive polymers with intrinsic sensing networks and learning based decision models to offer adaptable bio-medical solutions. Mathematical formulations are available that are used to model stimulus response behavior, sensor signal processing and cognition decision …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Signal Feature Extraction and Machine Learning Techniques for Human Activity Recognition
Abstract: Human Activity Recognition (HAR) has emerged as a critical field of study with diverse applications in healthcare, fitness tracking, smart homes, and human-computer interaction. The aim of this research is to create an efficient HAR system through advanced techniques characterized by signal feature extraction and machine learning algorithms. The MEMS sensors are used appropriately during data mining to extract time-domain, frequency-domain, and statistical features, which are subsequently passed to the …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 1, 2025 · pp. 24–41 Read article
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Do Networks Fly: A Review on FANET
Abstract: During the previous decades, a lot of work has been done on UAVs due to advancement in the electronics, sensor fields which makes UAVs less costly. UAVs are a component of UAS, which include a UAV, a ground-based controller, and a system of communications between the two. To cope up with the problem of disaster recovery efficiently there is a need to use an intelligent and sophisticated technology called flying …
Published in Journal of Automobile Engineering and Applications · Vol. 6, Issue 2, 2019 · pp. 13–19 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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Voltage Vigilance: Ensuring Balance and curbing Theft in Power Distribution Networks
Abstract: This project proposes a system for detecting electrical overload and earth faults using an Arduino Uno controller. The system uses a current sensor to identify overloads and a voltage sensor to detect earth faults. An ESP8266 module allows users to switch between the two fault detection modes. When an overload is detected, the Arduino turns off AC bulbs using a relay and sends an alert message via a GSM module. …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 15–21 Read article
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Self-Driving Cars and Computer Vision: Enhancing Computer Vision for Autonomous Vehicle Navigation
Abstract: Autonomous vehicles, commonly known as self-driving cars, are transforming the transportation sector by aiming to enhance road safety, ease traffic congestion, and boost overall efficiency. Central to the operation of these vehicles is computer vision, which enables them to perceive and understand their environment. This paper examines how computer vision contributes to the navigation of autonomous vehicles and highlights its continuous developments. Specifically, it examines key challenges such as real-time …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 1–10 Read article
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Artificial Intelligence for Real-time Water Management
Abstract: Effective water management is vital for sustainable development, requiring the strategic allocation and utilization of water resources to satisfy the diverse demands of agriculture, industry, and households. Traditional methods are increasingly inadequate due to escalating challenges from climate change and population growth, which amplify water scarcity and distribution issues. To overcome these challenges, we need innovative solutions. Artificial intelligence offers significant potential in revolutionizing realtime water management through advanced techniques …
Published in Journal of Water Resource Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 13–20 Read article
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IoT BASED SMART TEMPERATURE CONTROL SYSTEM
Abstract: Internet of Things (IoT) is a progressing technology with unimaginable growth, significance and ability. We present the role of Internet in the IoT network and some concepts of Internet of things, which technology is capable to read and sense real time temperature data with help of sensor through internet. We as well describe the concept of MQTT that connects electronics devices to the cloud and we can modify it or …
Published in Journal of Electronic Design Technology · Vol. 12, Issue 2, 2021 · pp. 26–30 Read article
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An Intelligent Modelling system for Automotive Vehicles
Abstract: In this paper it’s about the development of artificial intelligence that has fuelled technological advancements. Self-driving automobiles are an example of an innovative development. Nowadays, you may work or sleep in your car while driving to your destination without touching the steering wheel or accelerator. This project aims to create a workable model of a self-driving car capable of traveling on multiple tracks, including curved, straight, and straight followed by …
Published in Journal of Instrumentation Technology & Innovations · Vol. 15, Issue 1, 2025 · pp. 32–40 Read article
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AI Driven IoT Based Decision Making System for Brain wave study: KSK approach for Brain wave study
Abstract: The rapid convergence of Internet of Things (IoT) architectures and deep learning has unlocked unprecedented potential for real-time neuro-diagnostic monitoring. This paper presents a novel framework for an AI-driven IoT ecosystem designed to capture, transmit, and interpret human electroencephalography (EEG) signals with minimal latency. Traditional brain-computer interface (BCI) studies are often constrained by localized computing power and the high dimensionality of neural data. Our proposed architecture integrates low-power EEG sensors …
Published in International Journal of Brain Sciences · Vol. 3, Issue 2, 2026 Read article
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Stretchable Elastomer–PCM Composites with Bluetooth-Enabled Temperature Monitoring for Wearable Healthcare IoT Devices
Abstract: The rapid advancement of wearable healthcare technologies has created a growing demand for multifunctional polymer composites capable of simultaneously providing mechanical flexibility, thermal energy management, electrical conductivity, sensing capability, and wireless communication. In this study, a stretchable elastomer-based polymer composite integrated with a phase-change material and a Bluetooth Low Energy temperature monitoring system was developed for wearable healthcare Internet-of-Things applications. The polymer composite was fabricated using an Ecoflex silicone elastomer …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 241–257 Read article