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 21 for “"detection delay"”.
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Real-time Adaptive Sensor Attack Detection and Recovery in Autonomous Cyber-physical Systems
… usability (or the false alarm rate) of attack detection still remains elusive. Existing works tend to pursue an unachievable goal of minimizing the detection delay and false alarm rate at the same time, while there is a clear trade-off between the two metrics. Instead, this dissertation argues …
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Anomaly detection methods for detecting cyber attacks in industrial control systems
… This thesis evaluates multiple anomaly detection methods to quickly and accurately detect ICS cyber attacks. Two fundamental challenges in developing ICS cyber attack detection methods are the lack of historical attack data and the ability of attackers to make their malicious activity …
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Beyond gates, guards and guns : the systems-theoretic framework for security at nuclear facilities
… guidelines on assessing the human-factor in detection, delay, and response. (Khripunov, 2014, pp. 39-40) (Emphasis added) This dissertation argues that such a link lies in understanding how organizational influences affect the completion of tasks required for PPS to meet expected nuclear …
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OPERATIONAL ANALYSIS AND EARLY-STAGE DESIGN FOR NEXT GENERATION MCM THROUGH DIGITAL ENGINEERING
… that will have the largest impact on mine detection and classification. The research developed a systems architecture, operational model, and related analysis to interpret results, draw conclusions, and make recommendations. An agent-based model was developed to simulate four different MCM …
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Application of machine learning to epileptic seizure onset detection and treatment
… At its heart is a method for computerized detection of seizure onset. The method uses machine learning to construct patient-specific classifiers that are capable of rapid, sensitive, and specific detection of seizure onset. The algorithm detects the onset of a seizure through analysis of …
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Real-time power system topology change detection and identification
This thesis proposes a framework for detection and identification of system topological changes in near real-time that utilizes the statistical properties of electricity generation and demand, which are assumed to be known. Instead of relying on offline models as with traditional methods, the …
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Epileptic Seizure Detection And Prediction From Electroencephalogram Using Neuro-Fuzzy Algorithms
… based on fuzzy logic in epileptic seizure detection and prediction from Electroencephalogram (EEG). The fuzzy rule-based algorithms were developed with the aim to improve quality of life of epilepsy patients by utilizing intelligent methods. An adaptive fuzzy logic system was developed to …
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Measurement-based tools for power system monitoring and operations
… and identify line outages using quickest change detection algorithms. The proposed scheme is evaluated by its average detection delay and the probability that the wrong line outage is identified. In order provide support for the tools proposed in this thesis, the results of all proposed …
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Study on Zero Crossing Detection in CRM Totem-pole PFC Converter
… while maintaining high efficiency. Zero-crossing detection (ZCD) of inductor current is important for CRM/TCM operation. The ZCD signal helps synchronize the gate signals and turn off the synchronous switch at the appropriate current to achieve ZVS. A sensing resistor is typically used in …
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Inline and Sideline Approaches for Low-cost Memory Safety in C
… attempt to strike a balance between performance, detection coverage, interoperability, precision, and detection timing. Some properties are much more desirable, e.g. the interoperability with pre-compiled libraries. Comparatively less critical properties are sacrificed for performance, for …
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Long-term, subdermal implantable EEG recording and seizure detection
… that implements the EEG recording and seizure detection algorithm was designed and fabricated in a 0.18 [mu]m CMOS process. The ASIC includes eight EEG channels and was designed to minimize the system's power and size. The result is a power-efficient analog front end that requires 2.75 [mu]W …
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Exact Solution of Bayes and Minimax Change-Detection Problems
… develops techniques for exact solution of change-detection problems with discrete time and discrete observations. Change-detection problems are classified as Bayes or minimax based on the availability of information on the change-time distribution. A Bayes optimal solution uses prior information …
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Data-efficient quickest change detection
In the classical problem of quickest change detection, a decision maker observes a sequence of random variables. At some point of time, the distribution of the random variables changes abruptly. The objective is to detect this change in distribution with minimum possible delay, subject to a …
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SEQUENTIAL DECISION MAKING FOR ACTIVE LEARNING AND INFERENCE IN ONLINE SETTINGS
… (1) massive search space leads to high detection delay (2) labeled data are expensive and time consuming. For active inference, the objective is to detect such event as soon as possible, with a constraint on either the detection accuracy. For active learning, the goal is to minimize the …
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Opacity Verification and Fault Diagnosis in the Framework of Switching Output Automata
… faulty, or uncertain with sound and complete detection guarantees. Three case studies validate the framework across safety-critical domains. A smart water supply system verifies current-state opacity under aggregate power monitoring, demonstrating that critical pump-valve configurations remain …
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Dynamic anomaly detection in sensor networks
In the problem of quickest change detection, a sequence of random variables is observed sequentially by a decision maker. At some unknown time instant, the emergence of an anomaly leads to a change in the distribution of the observations. The goal in quickest change detection is to detect this …
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Automatic detection of epileptic seizure onset and termination using intracranial EEG
… the problem of real-time epileptic seizure detection from intracranial EEG (IEEG). One difficulty in creating an approach that can be used for many patients is the heterogeneity of seizure IEEG patterns across different patients and even within a patient. In addition, simultaneously …
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Energy Efficient Target Tracking in Wireless Sensor Networks: Sleep Scheduling, Particle Filtering, and Constrained Flooding
… at the expense of only 5% ~ 15% increase on the detection delay. Particle Filtering is one of the most widely used Bayesian estimation methods, when target tracking is considered as a dynamic state estimation problem for trajectory estimation. However, the significant computational and …
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On Development and Performance Evaluation of Some Biosurveillance Methods
This study examines three applications of control charts used for monitoring syndromic data with different characteristics. The first part develops a seasonal autoregressive integrated moving average (SARIMA) based surveillance chart, and compares it with the CDC Early Aberration Reporting System …
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A Reservoir of Adaptive Algorithms for Online Learning from Evolving Data Streams
… have been devised which may utilize drift detection methods to locate the drift points in dynamic and changing data streams. A drift detection method able to discover the drift points quickly, with the lowest false positive and false negative rates, is preferred. False positive refers to …
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