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 25 for “"Adaptive threshold"”.
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Adaptive Threshold Method for Monitoring Rates in Public Health Surveillance
… interval (RI) in this dissertation research. An adaptive threshold monitoring method is introduced based on fitting sample data to the underlying distributions, then converting the current value to a Z-score through a p-value. We compare the upper thresholds on the Z-scores required to obtain …
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Relaxed mental state detection using the Emotiv Epoc and Adaptive Threshold Algorithms
… Said activity is characterized using an adaptive subject-specific threshold algorithm. Different variations of the threshold algorithm were investigated and their performance was compared using receiver operating characteristic graphs.</p>
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An adaptive threshold energy detection technique with noise variance estimation for cognitive radio sensor networks
… conventional energy detector particularly on the threshold selection technique. We propose an adaptive threshold energy detection model with noise variance estimation for implementation in CRSN systems. Experimental work on our adaptive threshold technique based on the recursive one-sided …
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Characterization of a Spiking Neuron Model via a Linear Approach
… We propose a modified Izhikevich model with an adaptive threshold. In our two-stage estimation approach, a linear least squares method and a linear model of the threshold are derived to predict the location of neuronal spikes. However, desired results are not obtained and the predicted model is …
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Detection Of The R-wave In Ecg Signals
… waveforms are indicated by zero crossings. The adaptive threshold algorithms discussed in this thesis search for valid zero crossings which characterize the R-waves and also remove the Preventricular Contractions (PVC's). The adaptive threshold algorithms allow the decision thresholds to adjust …
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De-noising of Real-time Dynamic Magnetic Resonance Images by the Combined Application of Karhunen-Loeve Transform (KLT) and Wavelet Filtering
… Karhunen-Loeve transform (KLT) and spatial adaptive wavelet filtering. KW filtering has four steps: 1. Apply KLT along the temporal direction, generating a series of “eigenimages”. Because of the high temporal correlations, most of the energy is concentrated into a few eigenimages. 2. …
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Reduction of Power and Virtual Machine Migration Inside a Cloud Datacenter
… consumption at a datacenter, a model with an adaptive threshold virtual machine (VM) consolidation method that reduces the number of VM migration and power consumption in the datacenter was used. By consolidating VMs and switching off unused hosts, a cloud provider can reduce physical resource …
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Object Detection on Unmanned Arial Vehicles Dataset Using Adaptive HydraNet
… is a multilabel classification template with an adaptive threshold that enhances the precision of the detection for small and medium-sized objects. We integrate AHydraNet into the Mask R-CNN's backbone by introducing a smaller module called the Adaptive Branching Network (ABN), which applies …
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Mapping and Localization Using LiDAR Fiducial Markers
… unordered, low-overlap point clouds. It employs adaptive threshold detection and a two-level graph framework to solve a maximum a-posteriori (MAP) problem, optimizing point cloud and marker poses. Additionally, the Livox-3DMatch dataset is introduced, improving learning-based multiview point …
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Técnicas de redução de instâncias: ATISA e SSMA2
… nesta dissertação. A primeira delas, ATISA (Adaptive Threshold-based Instance Selection Algorithm), mantém instâncias com base em um critério que usa a distância de cada instância ao seu inimigo mais próximo como um limiar. Essa característica prioriza instâncias próximas às fronteiras de …
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Investigations of sub-systems for dynamic wavelength-routed optical networks
… and that, for small networks, the use of the adaptive threshold receiver may negate all gain clamping requirements and allow maximum signal gain.
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Demodulator techniques in satellite communication systems for direct broadcast systems
… Noise in FM systems is discussed and a suitable threshold noise model is chosen for use in DBS TV demodulator systems. The characteristics of the various types of noise effects are considered in terms of their effect upon the TV picture. The threshold performance of a conventional FM demodulator …
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Discrete Wavelet Methods for Interference Mitigation: An Application To Radio Astronomy
… the application of these heuristics, the optimal thresholding mechanism was found to be the universal adaptive threshold and entropy based measures were found to be optimal for matching wavelets to interference. This in turn resulted in the implementation of the wavelet suppression system, which …
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Models and analysis of a stochastic neural source coder
… coder, called a neural source-coder, uses an adaptive threshold to internally reconstruct the stimulus. The spikes are timed to minimize coding error. These spikes are generated by a deterministic firing rule. However, some random variability in spike timing is observed in real data. It seems …
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An efficient real-time data collection model for multivariate sensors in internet of things (IOT) applications
… help in saving the energy consumption; third, an adaptive threshold and new metric for multivariate data reduction models such as principal component analysis – based (PCA-B) and multiple linear regression – based (MLR-B) have been proposed. In addition, proposed a payload data reduction algorithm …
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Scalable base station switching framework for green cellular networks
… than being turned off, firstly using a fixed threshold based switching algorithm utilizing temporal traffic diversity, and ii) then subsequently by means of an adaptive threshold by exploiting the inherently asymmetric traffic profile between cells, i.e., by exploiting both the temporal and …
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Algorithm Hardware Codesign for High Performance Neuromorphic Computing
… neural dynamics such as filter effect and adaptive threshold.</p>
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Analysis of parabolic through collector cleaning system under adaptive scheduling policy
… In this scenario, it is possible to establish an adaptive threshold policy for scheduling plant cleaning that analogous to the formulation of a (s,S) inventory management policy, subject to random replenishment of inventory. The study offers a review of related literature to establish that such …
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Surveillance of Negative Binomial and Bernoulli Processes
… to determine if outbreaks may be present. An adaptive threshold method is proposed based on fitting baseline data to a parametric distribution, then calculating an upper-tailed p-value. These statistics are then converted to an approximately standard normal random variable. Monitoring is …
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