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 42 for “"detection & identification"”.
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Cooperative defense mechanisms for detection, identification and filtering of DDoS attacks
To view the abstract, please see the full text of the document.
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Detection, identification and localization of R/C electronic devices through their unintended emissions
"The accurate and reliable detection of unintended emissions from radio receivers has a broad range of commercial and security applications. This thesis presents detection, identification, and localization methods for multiple RC electronic devices in a realistic environment. First, a Hurst …
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Aircraft Abnormal Conditions Detection, Identification, and Evaluation Using Innate and Adaptive Immune Systems Interaction
… framework for the aircraft abnormal conditions detection, identification, and evaluation based on the artificial immune systems paradigm, which has the capability to address the complexity and multidimensionality issues related to aircraft systems.;Within the proposed framework, a novel …
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Computational Tools for Improved Detection, Identification, and Classification of Plant Pathogens Using Genomics and Metagenomics
… disease outbreaks, classification and precise identification of pathogens is crucial to determine treatment and preventive measurements. Conventional methods of detection such as PCR may not be sufficient when the pathogen in question is unknown. Advances in sequencing technology have made it …
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Detection, Identification and Classification of Suck, Swallow and Breathing Activity In Premature Infants During Bottle-Feeding
… and demonstrated promising result for the detection of suck and breathing signal but not for the swallowing waveform. Based on the results for sucking and breathing signals, this method should also work for good quality swallowing signal. To understand the relationship between the suck, …
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Deep Learning for Early Detection, Identification, and Spatiotemporal Monitoring of Plant Diseases Using Multispectral Aerial Imagery
… an end-to-end deep learning framework for early detection and continuous monitoring of crop diseases using transfer learning and high resolution, multispectral aerial imagery. In the first study, the technique was used to compare the performance of five pre-trained deep learning convolutional …
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MOBILE, HYBRID COMPTON/CODED APERTURE IMAGING FOR DETECTION, IDENTIFICATION AND LOCALIZATION OF GAMMA-RAY SOURCES AT STAND-OFF DISTANCES
The Stand-off radiation detection system (SORDS) program is an advanced technology demonstration (ATD) project through the Domestic Nuclear Detection Office (DNDO) with the goal of detection, identification and localization of weak radiological sources in the presence of large dynamic backgrounds. …
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Fluorescence Labeling of Surface Species as an Efficient Tool for Detection, Identification and Quantification of Oxygen Containing Functionalities on Carbon Materials
… spectroscopy, provide selectivity in identification together with sensitivity in quantification. Fluorescence labeling of surface species (FLOSS) to identify and quantify oxygen containing functionalities on single-walled carbon nanotubes (SWCNTs) and multiwalled carbon nanotubes …
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Construction and Use of Species-Specific Dna Probes for the Detection, Identification, and Enumeration of Human Colonic Bacteroides Species (Anaerobes, Hybridization, Microecology, Feces)
… distinguished by conventional biochemical identification tests. These organisms do differ significantly, however, at the genetic level. Accordingly, an alternate method for identification and enumeration was devised which exploits differences in chromosomal DNA sequences among Bacteroides …
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Fault Tolerant Flight Control: An Application of the Fully Connected Cascade Neural Network
… FTFCS can be implemented by developing failure detection, identification and accommodation (FDIA) schemes. Two of the major types of failures in an aircraft system are the sensor and actuator failures. In this research, a sensor failure detection, identification and accommodation (SFDIA); and an …
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The Characterisation of Oilfield Chemicals by Electrospray Ionization Multi-Stage Mass Spectrometry (ESI-MSᵑ)
… unknown since few methods exist for their detection. In the present study, the use of multistage electrospray ionisation ion trap mass spectrometry (ES1-MSᶯ) was investigated for the detection, identification, characterisation and quantification of compounds in both speciality oilfield …
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Multiplexed detection of infectious pathogens using on-chip loop-mediated isothermal amplification and a smartphone
New tools are needed to enable rapid detection, identification, and reporting of infectious pathogens in a wide variety of point-of-care applications that impact human and animal health. In this work, we report the design, construction, and characterization of a platform for multiplexed analysis of …
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Fault-Tolerant Control of Unmanned Underwater Vehicles
… fault-tolerant control (FTC) comprises fault detection, identification, and control reconfiguration for fault compensation. Literature review shows that there have been no systematic methods for fault-tolerant control of UUVs in earlier investigations. This study presents a hierarchical …
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Developing the detectability, identifiability, and trackability analysis for the space sustainability rating
… Situational Awareness (SSA) efforts are the Detection, Identification, and Tracking of Anthropogenic Space Objects (ASOs). For much of the space age, the onus for improving global SSA has fallen primarily on the ground-based satellite surveillance and tracking community, leading to more …
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A sensitivity/intrusion comparison of mental workload estimation techniques using a simulated flight task emphasizing perceptual piloting behaviors
… and a primary task measure of danger condition detection/identification time. No intrusion effect was found. Recommendations for applying the various techniques, based on the relative sensitivity of those showing significance, are discussed.
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Automated detection and prediction of electrical disturbances in a power transmission system
… transmission system by providing near real-time detection, identification, and prevention of disturbances.
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Process Monitoring of Large Scale Systems
… New empirical-based measures for fault detection, identification, and diagnosis are developed, evaluated, and compared with existing measures. The measures are based on methods obtained from the chemometric, pattern classification, system identification, and artificial intelligence …
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Parameter Identification And Fault Detection For Reliable Control Of Permanent Magnet Motors
… of this dissertation is to develop new fault detection, identification, estimation and control algorithms that will be used to detect winding stator fault, identify the motor parameters and optimally control machine during faulty condition. Quality or proposed algorithms for Fault detection, …
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Bio-Inspired Mechanism for Aircraft Assessment Under Upset Conditions
… of algorithms for aircraft sub-systems failure detection, identification, evaluation and flight envelope estimation has been developed and implemented. Data from a six degrees-of-freedom flight simulator were used to define a large set of 2-dimensional self/non-self projections as well as for …
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Smartphone-based systems for mobile infectious disease detection and epidemiology
… of death in many developing countries. The rapid detection of pathogens is vital for the control and prevention of the infectious diseases. New tools are needed to enable rapid detection, identification, and reporting of infectious viral and microbial pathogens in a wide variety of point-of-care …
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