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 12 of 12 for “"Filtering-based"”.
-
A Hierarchical Filtering-Based Monitoring Architecture for Large-scale Distributed Systems
… architecture employs a novel hierarchical event filtering approach that distributes the monitoring load and limits event propagation. This significantly improves <em>scalability</em> and <em>performance </em>while minimizing the monitoring <em>intrusiveness</em>. The architecture provides …
-
Time-Frequency Analysis and Filtering based on the Short-Time Fourier Transform
… optimized TF mask in the STFT domain, which is based on the concept of the multi-window spectrogram. Experimentation has shown that the introduced approach can effectively recover distorted signals based on a small set of representative examples of the noisy observation and the desired …
-
Using collaborative filtering based recommendations to promote the social nature of online learning
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI-COLUMBIA AT AUTHOR'S REQUEST.] Despite the supporting literature on the social nature of learning (Vygotsky, 1978; Bandura, 1977; Wenger, 1998), the online teaching environments at many of our colleges and universities still do not fully embraced the …
-
Application of Kalman filtering in computer relaying of power systems
… are presented. As a prerequisite for the Kalman-filtering implementation, the random description of the fault-induced noise signals was quantitatively studied. Empirical formulas that describe the random nature of the noise based on the probability of fault location and the frequency of …
-
Filter Based Stabilization Methods for Reduced Order Models of Convection-Dominated Systems
In this thesis, I examine filtering based stabilization methods to design new regularized reduced order models (ROMs) for under-resolved simulations of unsteady, nonlinear, convection-dominated systems. The new ROMs proposed are variable delta filtering applied to the evolve-filter-relax ROM (V-EFR …
-
Model-Based Speech Enhancement
… This is a significant departure from traditional filtering-based methods of speech enhancement. A major challenge with this approach is to estimate accurately the acoustic features (voicing, fundamental frequency, spectral envelope and phase) from noisy speech. This is achieved using maximum …
-
Towards an automatic predictive question formulation
… problems and 7 datasets to train a collaborative-filtering based recommendation system to propose meaningful prediction problems on new, unseen datasets.
-
Constraint programming for optimization under uncertainty in inventory control
… encapsulate dedicated inference algorithms based on feasibility and/or optimality reasoning, and provide information to the search process on the most viable course. Stochastic Constraint Programming (SCP) is a novel framework that generalizes CP to stochastic problems, allowing both to …
-
Vector Distance Transform Maps for Autonomous Mobile Robot Navigation
… the orientation of a mobile robot is estimated based on an 𝘢 𝘱𝘳𝘪𝘰𝘳𝘪 map, is a fundamental problem in autonomous mobile robot navigation. In this thesis, we present how environments can be represented using the vector distance transform for mobile robot localization, and show that it is a …
-
Framework for Context-Aware Information Processing for Design Review in a Virtual Environment
… the design review process by using information filtering based on context-aware concept, coupled with the benefits of a VE. The required design review information in the form of textual, numerical and geometric information is processed (queried, retrieved and stored). The author defined four …
-
Incorporating Three-Way Email Spam Filtering With Game-Theoretic Rough Sets
Email spam filtering commonly is viewed as binary classification problem, that is, classifies incoming email messages into spam or non-spam email. But it has two main limitations. Firstly, binary classification needs people to make definite decisions that are hard. Secondly, binary classification …
-
Combining Chemometrics and non-target GC-IMS gas phase analysis for improved bioprocess monitoring
… study was to examine the potential of GC-IMS-based VOC measurements in conjunction with chemometric non-target screening techniques as a soft sensor for bioprocess monitoring. In consequence of the lack of suitable software, a Python package for the multivariate analysis of GC IMS data was …