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1344 articles for “data sensing”
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Dynamic Skip-Layer Trees: A Novel Data Structure for Efficient Multi-level IoT Data Processing in Smart Cities
Abstract: This paper introduces dynamic skip-layer trees (DSLTs), a novel hierarchical data structure specifically designed for processing and managing multi-layered Internet of Things (IoT) sensor data in smart city environments. DSLTs extend the traditional skip list concept by incorporating dynamic layer adjustment and spatial awareness, enabling efficient querying and updates across various geographical and temporal dimensions. Our experimental results demonstrate that DSLTs achieve up to 40% faster query processing and a …
Published in International Journal of Data Structure Studies · Vol. 2, Issue 2, 2024 · pp. 11–21 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Smart Soil Health Monitoring: Leveraging Sensors and Big Data to Optimize Crop Growth
Abstract: The increasing demand for sustainable farming practices has necessitated the development of innovative technologies that improve crop productivity while reducing environmental harm. This study investigates the combination of internet of things (IoT) sensors and big data analytics for real-time soil health monitoring, with the aim of maximizing crop yield and efficient resource management. This allows for informed decision-making in key agricultural practices, such as fertilization, irrigation, and crop rotation, based …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 13, Issue 2, 2025 · pp. 36–43 Read article
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Design of a Real-Time Temperature Monitoring System using PIC to PIC SPI Communication with Multiple Displays and Wireless GUI Control
Abstract: AbstractThis paper proposes a real-time temperature monitoring system using PIC to PIC communication with SPI protocol that can read, process and display the sensed data. The system has three modules, a Sensor (Slave) module, a Master module and a computer-based GUI module. The GUI provides control operations and communicates with the Master module over Bluetooth to send control commands and receive data. The Master module takes control commands from the …
Published in Journal of Microcontroller Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 6–24 Read article
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Adaptive Car Parking Systems: Utilizing Real-Time Data and wireless sensors (optical sensors) microsystems for car parking assistance
Abstract: This Android Car Parking System App aims to simplify and improve the car parking experience for users. It provides a convenient solution for locating available parking spots, making reservations, and charging electric vehicles. The app leverages smartphone technology to enhance user convenience, reduce parking congestion, and promote efficient space utilization. The motivation behind this app is to address these issues and make the parking process more convenient and efficient. By …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 2, 2024 Read article
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Data Privacy in AI: Securing the Sensitive Information Through Homomorphic Encryption
Abstract: Artificial intelligence (AI) technology increasingly relies on sensitive user data, particularly finance and healthcare. While legacy encryption technologies safeguard data in transit and at rest, they are of no use when data must be decrypted to be processed. This is a bleak privacy threat, particularly in AI applications that call for constant processing of data. The objective of this study is to apply homomorphic encryption, a feature in which operations …
Published in International Journal of Information Security Engineering · Vol. 3, Issue 2, 2025 · pp. 25–30 Read article
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Data Aggregation in Wireless Multimedia Sensor Network: A Survey
Abstract: AbstractWireless Multimedia Sensor Network (WMSN) is a new, rapidly developing sensor network having scope beyond our understanding. It basically comprises sensor nodes embedded with cameras, microphones, and other sensors producing multimedia content. As the resources are limited, minimizing the volume of data traffic in sensor networks becomes critical and crucial both at the same time, in order to tackle this problem the reduction in amount of data required to be …
Published in Recent Trends in Sensor Research & Technology · Vol. 5, Issue 2, 2018 · pp. 6–11 Read article
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IoT and Sensor Technologies: Revolutionizing Connectivity and Data Insights
Abstract: The Internet of Things (IoT) and sensor technologies have become integral components of modern technological ecosystems, fostering unprecedented levels of connectivity and data acquisition across various sectors. These technologies are pushing the boundaries of what is possible in the way devices interact, collect data, and make decisions autonomously. IoT and sensor technologies have a wide range of applications, spanning healthcare, agriculture, smart cities, and industrial automation, with their potential continually …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 1, 2025 · pp. 1–7 Read article
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Trend analysis of Normalized Difference Vegetation Index using Landsat Satellite data: Study from in and Gondar town, North West Ethiopia
Abstract: Abstract This current research study presents the change detection method for the study of Satellite image supported on Normalized Difference Vegetation Index (NDVI). NDVI utilizes the Multi-Spectral remote sensing data method to determine Vegetation Index, land cover classification, vegetation, water bodies, bush land, agricultural area, thick forest and thin forest with few bands grouping of the remote sensed data. Land resources are easily understood by calculating their Normalized Difference Vegetation …
Published in Journal of Control & Instrumentation · Vol. 10, Issue 3, 2019 · pp. 25–33 Read article
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Deep Learning Enhanced Compressive Sensing for Wireless IoT Data Optimization and Weather Monitoring.
Abstract: This research explores the application of deep learning and compressive sensing in order to optimize data traffic in non-orthogonal multiple access (NOMA)-based wireless internet of things (IoT) networks and weather monitoring. Such a framework would be very effective and overcome pilot attacks and reconstruction losses for secure data transmission. In this regard, a strong communication model has been adopted based on power-domain NOMA for simultaneous wireless transmission by multiple IoT …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 20–36 Read article
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Leveraging Information Technologies (IoT, Sensor Technologies, AI, and Data Analytics) in Healthcare and Agriculture
Abstract: This paper explores the powerful convergence of digital technologies — the Internet of Things (IoT), Sensor Technologies, Artificial Intelligence (AI), and Data Analytics — in transforming healthcare and agriculture. Both sectors face pressing global challenges: rising population demands, environmental stress, disease burdens, unequal access to services, and food insecurity. Conventional systems alone cannot meet future needs. However, technology-driven, real-time data-driven systems offer innovative solutions: from automating diagnostics to forecasting pest …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 3, 2025 · pp. 20–28 Read article
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Smart City Based Manhole Monitoring System
Abstract: Urban environments are increasingly reliant on complex underground infrastructure networks, with manholes serving as critical access points for maintenance, inspection, and drainage. However, traditional manhole monitoring methods, often manual and labour-intensive, can be inefficient and prone to human error. This can lead to serious safety and health hazards, such as accidents caused by open manholes, exposure to harmful gas leaks, and infrastructure damage from overflows due to undetected blockage This …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 1, 2024 · pp. 27–34 Read article
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Looking into how modern technology combines sensors and Artificial Intelligence
Abstract: The combination of sensors and Artificial Intelligence (AI) is changing modern technology by making it possible to collect, analyse, and make decisions based on data in real time. Sensors are the main link between the real and digital worlds. They collect several types of data, like temperature, motion, pressure, and visual information. When used with AI methods like machine learning and deep learning, this data may be processed in a …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 · pp. 14–26 Read article
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Smart Precision Agriculture using Wireless Sensor Network and IoT
Abstract: This study presents wireless irrigation and plant disease detection system. This system aims toreduce the manual work for the farmer by incorporating wireless technology to ensure theefficiency. The entire system consists of Wireless Sensor Node Units and a WirelessInformation Unit. Each sensor node is equipped with a temperature and humidity sensor, asoil moisture sensor and a microcontroller to measure the sensor data values. In addition tothese sensors, we have used …
Published in Recent Trends in Sensor Research & Technology · Vol. 7, Issue 3, 2020 · pp. 8–13 Read article
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Fleet Guard: Advanced Fleet Management and Vehicle Monitoring System
Abstract: FleetGuard: Advanced Fleet Management and Vehicle Monitoring is a game changing IoT solution, crafted using Flutter in the Dart language, set to revolutionize conventional fleet management practices. It seamlessly integrates software and hardware components, with a primary focus on Tire Pressure Monitoring Systems (TPMS) and GPS sensors. This innovative system offers real-time tire pressure monitoring, predictive maintenance, and driver behavior analysis, emphasizing efficiency and safety, ultimately reducing operational costs, and …
Published in Journal of Electronic Design Technology · Vol. 14, Issue 2, 2023 · pp. 18–24 Read article
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Internet of Things Data Semantics
Abstract: AbstractInternet of Things (IoT) is the latest phenomenon and this revolution in technology may exceed the industrial revolution. Merging internet and things, making them work together, we have developed a powerful technology, called The Internet of Things (IoT). Apart from smart phones and computers, today we have many other devices which are able to communicate through internet like door opener, automated sprinklers, automatic water quality sensors, ATM machines, robotic cars …
Published in Journal of Web Engineering & Technology · Vol. 4, Issue 2, 2017 · pp. 15–21 Read article
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Progress and Uses of Satellite Remote Sensing
Abstract: Satellite remote sensing has become an important tool for watching, studying, and controlling both natural and man-made systems on Earth. Satellite sensors collect electromagnetic radiation that is reflected or transmitted from the Earth's surface. This data is needed for environmental monitoring, resource management, and hazard assessment. Recent improvements in sensor resolution, data processing techniques, and cloud-based platforms have made remote sensing applications much more accurate and easier to use. The …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 8–19 Read article
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The Role of IoT and AI in Advancing Wastewater Treatment Plant Efficiency
Abstract: Wastewater treatment facilities, or WWTPs, are essential for protecting the environment and human health because they clean wastewater before it is released into natural water bodies. The operational effectiveness and efficiency of WWTPs have undergone a significant transformation as a result of the integration of smart technology for real-time monitoring and control. This review looks at new developments in smart technologies that are being used in WWTPs, including data analytics, …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 2, Issue 1, 2024 · pp. 28–33 Read article
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Smart City Solutions for Waste Management and Pollution Control
Abstract: Recent trends in the role of artificial intelligence, IoT, and other smart technologies have a critical role toward addressing urban environmental challenges related to air quality and waste management in the context of a smart city. This changes the scope of managing air quality as, with the integration of IoT sensors, big data, and AI, they are able to predict pollution levels through real time monitoring and analysis. These technologies …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 1, 2025 · pp. 11–22 Read article
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FPGA Implementation of High Speed Data Acquisition with Reduced Software Overhead
Abstract: In many real-time applications, such as sensor networks and remotely controlled industrial processing, it is desired to obtain their sensor data faster and process available data quickly. So goal is to design and implement an FPGA which will acquire data from the sensor; that data will be stored in the memory; and then with the help of microprocessor, data can be used for the evaluation of the performance. The advent …
Published in Current Trends in Information Technology · Vol. 4, Issue 3, 2014 Read article