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1344 articles for “data sensing”
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Spatio-temporal Distribution of Wildfire Occurrences on the Lake Floor of Lake Chad Based on Remotely Sensed Data
Abstract: Normal 0 false false false EN-US X-NONE X-NONE This paper analyzes the spatio-temporal distribution of wildfire occurrences on the lake floor of the Lake Chad using satellite remote sensing data. A combination of field survey and computation of fire pixel counts from MODIS images for the period 2001–2009 form the basis for this analysis. The result revealed that the highest number of fires occurred in 2001, with varying figures in …
Published in Journal of Remote Sensing & GIS · Vol. 2, Issue 2, 2011 Read article
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Japanese encephalitis risk zone mapping using remote sensing data: A case study of Mid and Far- Western part of Nepal
Abstract: This study explores the usability of remotely sensed data and GIS technology to identify the impact of climatic/environmental variables and land use to Japanese Encephalitis (JE). JE is still a major health concern of Nepal. Since the first outbreak in 1978, its cases are reported in 54 districts out of 75. The climatic and environmental variables such as temperature, precipitation and land use (mainly paddy field) etc. are the main …
Published in Journal of Remote Sensing & GIS · Vol. 4, Issue 2, 2013 · pp. 47–55 Read article
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Land Use/Land Cover Information at Various Scales of Remote Sensing Data of Jhunjhunu District, Rajasthan
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Through the present study, variation in land use, land cover (LULC) with change in scale is discussed. The authors carried out the visual interpretation with the aid of supervised classification, aiming to obtain LULC information at various levels of remote sensing data of district Jhunjhunu of Rajasthan. Remote sensing data of IRS-P6 (LISS-III) standard false color composites (FCCs) on 1:1 M, …
Published in Journal of Remote Sensing & GIS · Vol. 5, Issue 1, 2014 · pp. 43–54 Read article
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Vegetation Analysis with Reference to Topographic Variables using Remote Sensing Data
Abstract: AbstractThe study was carried out in Kalsa Watershed, Uttarakhand, India to analyze the vegetation composition, topographic attributes and distribution of different vegetation types in relation to topography. Remote Sensing data of Indian satellite IRS 1D-LISS III sensor was used to map vegetation and land use. Survey of India (SOI) topographic map was used to generate the Digital Elevation Model (DEM). A total of 10 vegetation and land use classes were …
Published in Research & Reviews : Journal of Ecology · Vol. 3, Issue 1, 2014 · pp. 31–40 Read article
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An Improved K-means Clustering Algorithm for Classification of Odor/Gas Sensor Data Using Normalized Cosine Distance Parameter
Abstract: This paper presents a novel approach of K-means Clustering for classification of odors/gases (E-nose) using cosine distance as a distance parameter. A sensor array constituting five sensors is exposed to four different types of gases to extract data. The problem of classifying the data into respective classes in considered as a K-means Clustering task. To quantify the amount of similitude between the data corresponding to same classes; usually euclidean distance …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 2, Issue 2, 2015 · pp. 56–60 Read article
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Review on Strengthening & Retrofitting of RCC & Masonry Bridge Structure with Analytical Modelling of Sensor Data for the Durability of Bridge Structure
Abstract: In later a long time, monstrous advancement in Structural Health Monitoring (SHM) of bridges makes a difference address the life span and unwavering quality of bridge structure at differentiating stages of their benefit life. This article gives a point-by-point understanding of bridge observing, and it centers on sensors utilized and all sorts of harm location (strain, Displacement, acceleration, and temperature) concurring to bridge nature (scour, suspender failure, disconnection of bolt …
Published in Trends in Transport Engineering and Applications · Vol. 9, Issue 3, 2022 · pp. 16–23 Read article
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An Introduction to Robotics and its Interaction with Humans
Abstract: AbstractThe purpose of this paper is to show an application of path planning for a mobile pneumatic robot. The robot is capable of searching for a specific target in the scene and navigating towards it, in an a priori unknown environment. To accomplish this task, the robot uses a colour pan-tilt camera and two ultrasonic sensors. As the camera is only used for target tracking, the robot is left with …
Published in Journal of Advancements in Robotics · Vol. 4, Issue 1, 2017 · pp. 1–5 Read article
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Disaster Impact Assessment Using Multi-Sensor Satellite Data: An AI-Based Remote Sensing Approach
Abstract: Natural disasters such as floods, earthquakes, and wildfires cause significant damage to human life and infrastructure every year. Rapid and accurate assessment of the affected areas is essential for effective disaster response and recovery planning. Traditional image-based analysis using single-sensor data often fails under adverse conditions such as cloud cover, smoke, or poor lighting. To overcome these limitations, this study proposes a novel framework for disaster impact assessment using multi-sensor …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 10–22 Read article
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Enabling Intelligent Interoperability: Advancing Sensor Networks Through the Semantic Sensor Web (SSW)
Abstract: The Semantic Sensor Web (SSW) is an evolution of the traditional Sensor Web, integrating semantic web technologies to enhance the discovery, interpretation, and integration of heterogeneous sensor data. By embedding semantic annotations into sensor observations and metadata, SSW enables automated reasoning, improved interoperability, and more sophisticated querying capabilities across diverse sensor networks. This approach addresses key challenges in handling large-scale, distributed, and dynamic sensor data, particularly in domains such as …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 2, 2025 · pp. 21–37 Read article
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Enhancing Robot Autonomy: Integrating AI for Advanced Decision-making in Autonomous Robotic Systems
Abstract: The capabilities of autonomous robotic systems have been drastically changed by the rapid progress in artificial intelligence (AI) technologies. In this work, we investigate the integration of AI approaches to improve robot autonomy by presenting even more advanced mechanisms for decision-making. Almost all traditional robotic systems involve predefined algorithms, making them unable to cope with dynamic environments. They can also help with learning based on machine learning and deep learning …
Published in Journal of Advancements in Robotics · Vol. 11, Issue 3, 2024 · pp. 28–37 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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Designing Digital Filters of Underwater Wireless Sensor Node
Abstract: Underwater Wireless Sensor Networks (UWSNs), an emerging area, integrate sensing, computing, and communication into a single compact device. The digital data is acquired using an FPGA (Field Programmable Gate Array), and the fusion of numerous sensor data is accomplished in the sensor node’s ARM (Advanced RISC Machine) CPU. The sensor interfacing circuit should connect the sensor to the sensor node’s data collecting system. The data from these sensors may be …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 1, Issue 1, 2023 · pp. 43–53 Read article
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Sensor Based Data Acquisition for Smart Agriculture
Abstract: Agriculture is a vital practice for every nation, and it involves both scientific and artistic methods of cultivating plants. To keep up with technological advancements, agriculture has adopted smart techniques that heavily rely on the Internet of Things (IoT). By using sensors, IoT technology collects essential data about crops. This approach allows farmers to monitor their crops through wireless sensor networks that transmit data from various locations. Smart agriculture is …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 12, Issue 2, 2023 · pp. 18–26 Read article
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Fault Detection in Solar PV Systems Integrated with the Power Grid: Evaluating Logistic Regression through Confusion Matrix Analysis
Abstract: This paper proposes a method for failure detection in grid-integrated solar photovoltaic (PV) systems using logistic regression and real-time sensor data. The approach effectively classifies and identifies seven distinct fault types. The developed model demonstrates a high fault identification accuracy, ranging from 93% to 96.5% across various fault types and operational conditions. By leveraging logistic regression, the system utilizes key independent variables that significantly influence the classification process. Additionally, the …
Published in Journal of Power Electronics and Power Systems · Vol. 15, Issue 2, 2025 · pp. 45–52 Read article
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An Implimentation on Extraction and Detection of Leak Data using Fake Tupples
Abstract: Modern business activity contains the email exchange, sometimes email leakage is occurred in the company and it is widespread problem in the industry particularly in IT industry .so we study the following problem as data distributor (owner) has given sensitive data to trusted third parties called as (agents) and if that data leaked by trusted agents, particularly the leaked data is find on website also or can find out by …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 1, 2014 · pp. 3–8 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
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Wireless Non-invasive Vital Sign Sensors and Multisensory Data Fusion Techniques
Abstract: The wireless technology in patient monitoring system enables clinicians to monitor vital signs with remote capability. Recent advancements in embedded system have led to explosive growth in wireless medical sensors that allow vital signs to be automatically collected and integrated into patient’s care record for real-time monitoring. Research and development in cognitive sensor networking is driven by trends in information fusion, intelligent sensor and wireless communication. In this paper, recent …
Published in Journal of Instrumentation Technology & Innovations · Vol. 4, Issue 2, 2014 · pp. 1–6 Read article
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Information Fusion Based IoT Semantic Data
Abstract: Today there are millions of heterogeneous devices around us which are attached with different types of sensors to collect real world data and to communicate with other devices. As a result, interoperable service-oriented technologies are required to share the real-world data among these heterogeneous devices to integrate and fuse these semantic data. To solve this problem, a frame-work for multi-source heterogeneous information fusion based on the information of semantic data …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 5, Issue 2, 2017 · pp. 29–34 Read article
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FPGA Enabled Flight Control Unit
Abstract: The FPGA flight controller revolutionizes drone technology with unmatched stability and precision. Integrated with an IMU and advanced sensors like the MPU 6050, it ensures accurate positioning critical for reliable UAV operation. Its efficient real-time data processing and seamless sensor communication enhance performance and reliability across various conditions. This advancement sets a new standard in UAV technology, suitable for applications ranging from surveillance to disaster relief. An aircraft's flight control …
Published in Journal of Aerospace Engineering & Technology · Vol. 14, Issue 1, 2024 · pp. 19–25 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article