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 188 for “"detection algorithms"”.
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Robust Number Plate Detection Algorithms
… system, the most crucial part is number plate detection. The research presented in this thesis focuses on the detection mechanism and will rely on a third-party Optical Character Recognition (OCR) software for character recognition. Number Plate Detection (NPD) is a well-explored problem with …
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Rank Based Anomaly Detection Algorithms
<p>Anomaly or outlier detection problems are of considerable importance, arising frequently in diverse real-world applications such as finance and cyber-security. Several algorithms have been formulated for such problems, usually based on formulating a problem-dependent heuristic or distance …
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Scaling overlapping community detection algorithms
… area of graph mining is known as community detection. It is one of the most critical components of graph mining. It helps in understanding the underlying properties of the graph. While a lot of effort has been expended on detecting standard partitions in a graph, real world applications are …
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Practical multiuser detection algorithms for CDMA
… to investigate practical multiuser demodulation algorithms for mobile communications systems that are based on code division multiple access (CDMA) technologies. These include the adaptive receiver and the interference canceller. The overall complexity of implementing them is examined. The …
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Formal verification of distributed deadlock detection algorithms
The problem of distributed deadlock detection has undergone extensive study. Formal verification of deadlock detection algorithms in distributed systems is an area of research that has largely been ignored. Instead, most proposed distributed deadlock detection algorithms have used informal or …
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An energy-aware framework for cascaded detection algorithms
Low-power, scalable detection systems require aggressive techniques to achieve energy efficiency. Algorithmic methods that can reduce energy consumption by compromising performance are known as being energy-aware. The cascade architecture is known for being energy-efficient, but without proper …
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The development and analysis of intrusion detection algorithms
Thesis (M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1998.
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Design and evaluation of freeway incident detection algorithms
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 1999.
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Performance evaluation of detection algorithms for MOMI OFDM systems
… other users. This would result in an increase of detection complexity required for mobile systems. Complex detection will reduce the battery life of mobile devices because of the many calculations that have to be done to decode the signal. Very powerful detection algorithms exist but they …
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Fault detection algorithms for spacecraft monitoring and environmental sensing
… In this thesis, we present the development of algorithms that identify unusual behavior in satellite health telemetry. Once these events have been identified, we collect and analyze them, along with assessing space weather observations and operational environment factors. Our approach uses …
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Novel anomaly detection algorithms for major and critical items of plant
… proposes an adaptation of machine learning algorithms to model major and critical plant items. Artificial neural networks (ANNs) are shown to allow anomaly detection in pulverising mills and gas turbines (GTs). Hidden Markov models (HMMs) are shown to allow the modelling of GT dynamics …
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Performance study of distributed deadlock detection algorithms for distributed database systems
… resources. Over the past decade a number of algorithms have been proposed in the literature to detect such a deadlock, but not much attention has been given to their performance. Lack of understanding of the workload for such distributed algorithms has made it difficult to predict their …
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Evaluation of deterministic and statistical failure detection algorithms for aircraft applications
Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Aeronautics and Astronautics, 1997.
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Segmentation and scale detection algorithms for automated analysis of digitized historical maps
… (map scale estimation) is accomplished by algorithms that detect and classify lines along map borders, searching for dashed neatlines intersected by latitude lines. Thus, descriptors of map objects represented by segmentation results in pixels can be converted to geographical units; for …
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HIGH PERFORMANCE DECENTRALISED COMMUNITY DETECTION ALGORITHMS FOR BIG DATA FROM SMART COMMUNICATION APPLICATIONS
… and communication tasks. Thus, community detection in networks has become an important research area within many application fields such as computer science, physical sciences, mathematics and biology. Driven by the recent emergence of big data, clustering of real-world networks using …
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Insider threat simulation and performance analysis of insider detection algorithms with role based models
… in recent years than any other form of attack. Detection of these insider threats is a top priority. One problem facing the detection mechanisms is that the real data for modeling is not easily available. This thesis describes a simulator which can simulate the insiders and generate access …
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Simulator test and evaluation of a drowsy driver detection system and revisions to drowsiness detection algorithms
… test and evaluate a complete drowsy driver detection system. The goal of the study was to recommend optimal specifications for a system to be further studied in an actual vehicle. The system used a set of algorithms developed from previously collected data and a set of previously optimized …
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Cluster detection in general Markov chains with applications to directed networks
Many community detection algorithms rely on information provided by the eigenvalues of matrices of the associated network. These techniques cannot be extended for directed networks since the matrices required are symmetric, diagonalizable, and have only real eigenvalues. Directed networks do not …
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Incorporating neural network traffic prediction into freeway incident detection
… models have not been utilized for incident detection. On the other hand, it is expected that the performance of an incident detection algorithm can be improved if an advanced prediction model is incorporated into. Therefore, this study developed several traffic prediction models that were …
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Simulator study of the effects of cruise control, secondary task, and velocity-related measures on driver drowsiness and drowsiness detection
… conducted in an attempt to improve drowsiness detection in automobiles by examining velocity-related measures. These measures were also included in multiple regression-generated drowsiness detection algorithms to determine their contribution to detection accuracy. In addition, the effects of …
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