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 17 of 17 for “"Voting scheme"”.
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Implementation of the Security-Dependability Adaptive Voting Scheme
… working implementation of an adaptive protection scheme known as the adaptive voting scheme, used to alter the security/dependability balance of protection schemes. It is argued that as power system conditions change, the ability of protection relays to adjust the security/dependability balance …
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Practical Implementation of a Security-Dependability Adaptive Voting Scheme Using Decision Trees
… power delivery to its customers. Protective schemes are designed to account for pressures towards unstable operation, but there is always a tradeoff between security and dependability of this protection. Adaptive relaying schemes that can change or modify their operation based on prevailing …
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Ocr: A Statistical Model Of Multi-engine Ocr Systems
… of the effect of a multi-OCR system employing a voting scheme to increase overall recognition accuracy. This is desirable since currently OCR systems are still unable to recognize characters with 100% accuracy. The existing error rates of OCR engines pose a major problem for applications where a …
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Learning time series data using cross correlation and its application in bitcoin price prediction
… learn from the past instance using an ensemble voting scheme.
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Using UAV Mounted LiDAR to Estimate Plant Height and Growth
… find the bounding boxes ofthese clusters, and a voting scheme to determine the best-fit width, height, and orientationof the clusters/plots. This best-fit box is then used to create a grid over the LiDAR dataand the plots are extracted. For pasture, relative heights are estimated using data …
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Three-dimensional object registration using wavelet features
… peaks in sets of rotation quaternions using a voting scheme, then separately identifying translation. The method is robust to occlusion, clutter and noise. The efficacy of the algorithm is demonstrated through examples from solid modeling and medical imaging applications.
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Wire detection using ground penetrating radar using image processing techniques
… fitting the edge points to a parabola through a voting scheme. The features consist of the orientation angle, the fitted parabolic parameters, and the fitting confidence. The combination of these approaches offers a comprehensive framework for wire detection in GPR images, with potential …
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Iterative Tensor Voting for Perceptual Grouping of Natural Shapes in Cluttered Background
… and powerful methods based on iterative tensor voting. In tensor voting, segments are represented as second-order tensors and communicate with each other through a voting scheme that incorporates the Gestalt principles of visual perception. Derived from experiments with human beings, such …
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Multistage neural network ensemble: adaptive combination of ensemble results
… simple averaging, weighted averaging, majorities voting and ranking. These are catalogued as static combination schemes, which require no prior training. One deficiency of such schemes is that weightings for the importance of the output of each ensemble member must be pre-chosen and then applied …
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Facial Communicative Signals: valence recognition in task-oriented human-robot Interaction
… temporal dynamics, but uses a simple majority voting scheme over the classification results for the single frames. This simple static approach yielded baseline results for a more sophisticated dynamic approach. The dynamic approach is based on the selection of discriminative reference …
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Online Elections in Terra Australis
… and we propose cryptographic online election schemes that mitigate many of these risks. The thesis is divided into three parts. In Part I we examine practical problems and security risks in current manual and electronic election procedures in Australia. In particular we describe errors in …
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A Physical Unclonable Function Based on Inter-Metal Layer Resistance Variations and an Evaluation of its Temperature and Voltage Stability
… Triple-Module-Redundancy (TMR) and majority voting scheme to identify and exclude unstable bits.
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Fault-Tolerant Control and Fault-Diagnosis Design for Over-Actuated Systems with Applications to Electric Ground Vehicles
… estimate of the faulty actuator though a voting scheme. The obtained accurate estimate of the unknown parameter is then adopted to calculate the residuals and detect the actuator fault. The external yaw moment generated from a four-wheel-independently-actuated (FWIA) ground vehicle, …
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SLAM for structured environments using mechanically scanned imaging sonar
… landmarks. A probabilistic coarse-to-fine voting scheme identifies the most likely pose of the vehicle using the global map. When performing SLAM without an a priori map, observed landmarks are then evaluated and either added to the global map or used to update the position of known …
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Estimating varying illuminant colours in images
… our illuminant estimation algorithm in a voting scheme, that probabilistically chooses an illuminant estimate on both sides of the shadow edge. We test the performance of all our algorithms experimentally on well known datasets, as well as our new proposed shadow datasets.
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Novel image processing and deep learning methods for head and neck cancer delineation from MRI data
… results were ensembled by a proposed majority voting scheme to give the 3D location of ALN in MRI volume. The 3D volume was finally extracted by 3D level set method (LSM) starting from the detected centre of ALN. The knowledge-based detection method achieved localisation of ALNs by transferring …
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Image-based recognition, 3D localization, and retro-reflectivity evaluation of high-quantity low-cost roadway assets for enhanced condition assessment
… the road and its assets in 3D. Next, a voting scheme assigns the most observed asset category to each point in 3D. The experimental results from application of this method are promising, nevertheless because this method relies on using supervised ground-truth pixel labels for training …