Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 52 for “"low cost sensors"”.
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Measuring ambient air quality using low-cost sensors
… the economic impact caused by air pollution. Low-cost sensors (LCS) offer the opportunity to vastly increase our ability to make air quality measurements with finer spatiotemporal resolution than ever before; however, the use of such sensors has outpaced our understanding of their abilities, …
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Making Air Quality Count: Low-cost sensors, Public Health and Urban Planning
… this work makes two main interventions: 1) Low-cost sensors and satellite instruments have immense potential to further our understanding of air pollution, especially in the Global South where little data is available. This thesis develops new methods to derive useful insights about air …
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A Motion Graph Approach for Interactive 3D Animation using Low-cost Sensors
… is intuitive to use. The proposed framework is low cost and easy to setup.
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Development of novel methodologies for utilising low-cost sensors for ambient Particulate Matter measurement
… Recent studies have shown that although low-cost PM monitors, such as Optical Particles Counters (OPCs), can be utilised for both personal exposure and high-density sensor network applications, these sensors can be subject to several limitations such as relative humidity (RH) …
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The application of low-cost sensors to monitor and characterise particulate matter air pollution
… these may vary under typical ambient conditions. Low-cost sensors can improve the spatial resolution and range of deployment sites of particle measurements as they are cheaper to buy and run, and require less space, energy and specialist skills to operate. However, their scope has been mainly …
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Automatic modeling of machining processes
… CNC controller is presented that uses low-cost sensors to fit an analytical model of cutting forces. The analytical nature of this model allows for favorable convergence characteristics and low computational costs. This is used to optimize cutting feeds with respect to process …
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Wireless Dust Sensor Network for a Feedlot Dust Abatement Study
… nephelometer dust sensor was developed using a low-cost, commercial optical sensing module. A second dust sensor was developed that samples air by the method of impaction of a dust-air stream into a water droplet capturing images using a low-cost USB microscope. The Box Model was used to …
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Biometric and Biomechanical Sensing for Violin Performance Analysis
… a solution to this issue. The EVPS system uses low-cost and accessible electronic sensors to provide objective, quantitative insights into the physical and physiological aspects of a violinist’s performance. Results from experimental trials reveal that the EVPS system provides relatively …
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An exercise in selecting low-cost air quality sensor placements within an urban environment
… of major cities all over the world. The high cost of current monitoring programs means that enforcement of current regulation, such as the United States Environmental Protection Agency's ambient air quality standards, can be lacking at the individual level. Because of their low cost, sensor …
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Body monitoring system
… Patients are being monitored with advanced sensors using the latest technology. These include sensors which monitor vital signs such as heart rate, oxygen levels in blood and body temperature. Such sensors provide useful data which is used for better patient diagnosis. The project aims at …
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An automated framework for power-efficient detection in embedded sensor systems
The availability of miniature low-cost sensors has allowed for the capture of rich, multimodal data streams in compact embedded sensor nodes. These devices have the capacity to radically improve the quality and amount of data available in such diverse applications as detecting degenerative …
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Advancing Indoor Air Pollution Research: A Novel Integration of AI, IoT, and Behavioural Science for Enhanced Indoor Air Quality Monitoring and Behaviour Change
… (AI), the Internet of Things (IoT), and Low-Cost Sensors (LCS) for air quality monitoring. The research evaluates LCS, augmented by AI and IoT, as an alternative to expensive monitoring systems, tackling challenges like sensor selection and calibration. Various AI techniques, including …
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Design and development of an affordable autonomous vehicle for bike lanes
… focused on four-wheeled vehicles with expensive sensors and onboard computing. Also, these vehicles have to meet strict safety standards and regulations for operation in a hostile environment like car lanes in dense cities. This thesis presents the design and development of the Persuasive …
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A Damped Double Dipole UHF RFID Antenna with Application to Wireless Chemiresistive Gas Sensing
… materials have been added to RFID tags to create low cost sensors that work at a fixed reader-tag separation distance. This thesis proposes a novel approach to create UHF RFID sensing tags that work independent of distance (within the operating range), and are able to sense changes in resistance …
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Autonomous low-cost network of ozone sensors: to study the spatial distribution and exposure in underserved agricultural communities in central California
… and deployed a network of 12 autonomous, low-cost, and solar-powered air quality monitoring units (VOZboxes) in California's San Joaquin Valley (SJV). Co-located with a reference monitor in Fresno, CA, the VOZboxes underwent calibration before and after field deployment in June and …
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Building a Low-Cost Portable VO2 Max Mask
… Heart Association, there are no accurate low cost measurement devices commercially available for the masses. Gold standard commercial metabolic carts remain inaccessible due to their $30,000 - $50,000 cost. This thesis presents the design, implementation, and validation of a low-cost, …
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Covariance based point cloud descriptors for object detection and classification
… The recent introduction of cheap range sensors like the Microsoft Kinect has created a great interest in the computer vision community towards developing efficient algorithms for point cloud processing. Previously, in order to capture a point cloud, expensive specialized sensors, such as …
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3D organ property mapping using freehand ultrasound scans
… 3D maps, suffer from one or more of the following drawbacks: high cost, long scan times, computational complexity, use of ionizing radiation, lack of portability, and the need for bulky equipment. We propose the development of a framework that allows for the creation of 3D property maps at …
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Design and Development of Distributed Lower Atmospheric Instrumentation Packages
… electronics and widespread availability of low-cost sensors, microcontrollers and transceivers has enabled development of sensor suites that can be used for high temporal and spatial resolution measurements of atmospheric parameters such as temperature, pressure, humidity, particulate …
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