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.
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Showing 1 to 20 of 28 for “"sensor selection"”.
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State estimation and sensor selection in discrete event systems modeled by Petri nets
… process resources across places in the system). Sensors in Petri nets come in two major types: place sensors (i.e., sensors that indicate the number of resources in a particular place, e.g., vision sensors) and transition sensors (i.e., sensors that can detect whether a transition in a given …
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SENSOR MANAGEMENT FOR LOCALIZATION AND TRACKING IN WIRELESS SENSOR NETWORKS
<p>Wireless sensor networks (WSNs) are very useful in many application areas including battlefield surveillance, environment monitoring and target tracking, industrial processes and health monitoring and control. The classical WSNs are composed of large number of densely deployed sensors, where …
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Adaptive sampling for spatial prediction in wireless sensor networks
Networks of wireless sensors are increasingly exploited in crucial applications of monitoring spatially correlated environmental phenomena such as temperature, rainfall, soil ingredients, and air pollution. Such networks enable efficient monitoring and measurements can be included in developing …
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Reducing the computational demands of medical monitoring classifiers by examining less data
Instrumenting patients with small, wearable sensors will enable physicians to continuously monitor patients outside the hospital. These devices can be used for real-time classification of the data they collect. For practical purposes, such devices must be comfortable and thus be powered by small …
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Resource Management for Distributed Estimation via Sparsity-Promoting Regularization
… of low-cost, low-power, multifunctional sensor nodes that are small in size and communicate untethered in a sensor network. These sensor nodes can sense, measure, and gather information from the environment and, based on some local processing, they transmit the sensed data to a fusion …
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Hyperspectral Remote Sensing for UXO Detection and Damage Assessment on Airfield Pavements
… explores using near-surface hyperspectral sensors as an alternative to red, green, blue (RGB) digital cameras, in hopes of improving detection precision and accuracy for airfield assessment. However, even with modern hyperspectral sensors the benefit of increasing spectral image resolution …
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Maximizing AUV slow speed performance
… the same as that required for optimum sensor performance, a variable speed capability extending to the bottom of the vehicle speed range is sought. Optimizing Odyssey IIB AUV performance for slower speed operations and extended duration missions necessitates a multi-disciplinary review …
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Conditional Posterior Cramer-Rao Lower Bound and Distributed Target Tracking in Sensor Networks
… The primary problem of interest is the sensor selection problem for target tracking in sensor networks. Comparisons are also made between the performance of sensor selection algorithm based on the proposed bound and the existing approaches, such as information driven, nearest neighbor, …
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Data Driven Nonparametric Detection
… where only quantized data from distributed sensors are forwarded to a fusion center for decision making. While these problems have been intensively studied under parametric and semi-parametric models with underlying distributions being fully or partially known, nonparametric scenarios are …
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CYBER-PHYSICAL SYSTEM: REAL-TIME INTERNET-BASED WIRELESS STRUCTURAL HEALTH MONITORING SYSTEM
… discussion includes major topics from sensor selection and installation to sensing data display. A cyber-physical system combining embedded system, wireless communication, and the Java platform was developed for structural health monitoring. The focus of this system is to continuously …
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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 Random …
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Development of an Obstacle Detection System for Human Supervisory Control of a UAV in Urban Environments
… is presented. The first stage of development was sensor selection and initial testing. After this, the sensor was combined with a servomotor to allow it to rotate and provide obstacle detection coverage in front, below, and to both sides of the UAV. Utilizing a PC-104 single board computer running …
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Design and development of an automated pellet inspection system for nuclear fuel pellets
… machine vision camera. The arrangement of these sensors allows for complete cylindrical and end surface inspection of every pellet, which are judged against manufacturing visual inspection criteria. Sensor selection and inspection arrangement have already been developed in past work, the present …
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Precision autonomous underwater navigation
… capabilities converge, navigating in the sensor-limited ocean remains a fundamental challenge. Despite the logistical cost, the standards of archaeological survey necessitate using fixed acoustic transponders - an instrumented navigation environment. This thesis focuses on the problems …
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Design of a Humanoid Robot for Disaster Response
… the waist, arms, and head. The proprioceptive sensor selection was influenced by past experience on humanoid platforms, and perception sensors were selected to match the competition.
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Multiple-Target Tracking in Complex Scenarios
… In addition, we address design issues such as sensor selection and resource allocation.</p><p>First, we consider MTT when the targets themselves are moving in a</p><p>time-varying multipath environment. We develop a sparse-measurement model that allows us to exploit the inherent joint …
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On maximum-reward motion in stochastic environments
… data from randomly deployed unattended ground sensors (UGS). Specifically, the rewards are assumed to be generated by a Poisson point process. The robot has a limited perception range, and thus it discovers the reward field on the fly. The robot is assumed to be a dynamical system with …
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Multi-Objective Generation of Pareto-Optimal Perception Architectures for Autonomous Robotic Systems
… robots and vehicles requires balancing sensor performance against cost, complexity, and integration constraints. This thesis introduces GO4R (Generation and Optimization of Perception System Architectures for Robotics), a multi-objective framework that jointly designs sensor selection, …
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Spectrum Sensing in the Presence of Channel and Tx/Rx Impairments
… research is presented on the impact that both sensor reliability and sensor correlation information have on collaborative signal detection and intelligent sensor selection.
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