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 13 of 13 for “"data frame"”.
-
Naturalistic Study Examining the Data/Frame Model of Sensemaking by Assessing Experts in Complex, Time-Pressured Aviation Domains
… detection personnel suggests a use of cognitive frameworks, alternatively referred to as schemas, templates, scripts, frames and models, to effectively perceive, interpret, understand, recall, and anticipate information. These experts may use cognitive frameworks to capture past experience in …
-
A Machine Learning Model for Octane Number Prediction
… put together. Machine learning models are data driven with primarily regression and deep learning methods being used in literature as prediction models. This study aims to develop a parsimonious machine learning model which can be used to predict the RON from the molar composition of the …
-
Generic Architecture for Predictive Computational Modelling with Application to Financial Data Analysis: Integration of Semantic Approach and Machine Learning
… analytical conclusions regarding quantitative data structured as a data frame. The model involves heterogeneous data mining based on a semantic approach, graph-based methods (ontology, knowledge graphs, graph databases) and advanced machine learning methods. The main focus of my research is …
-
Applying Universal Verification Methodology on a Universal Asynchronous Receiver/ Transmitter design
… hardware device that is used to transform user data to parallel and serial forms. The UART protocol is typically integrated in an Integrated Circuit (IC) which is used for serial communication over a computer or a peripheral device. The UART protocol accepts the input data as bytes and transmits …
-
Charting EDA: Characterizing Interactive Visualization Use in Computational Notebooks with a Mixed-Methods Formalism
… are powerful tools for Exploratory Data Analysis (EDA), but how do they affect the observations analysts make about their data? We conducted a qualitative experiment with 13 professional data scientists analyzing two datasets with Jupyter notebooks, collecting a rich dataset of …
-
Exploration of Sensemaking in the Education of Novices to the Complex Cognitive Work Domain of Air Traffic Control
… coded using categories derived from CTT and the data/frame theory of sensemaking (e.g. Klein, Moon, & Hoffman, 2006; Sieck, Klein, Peluso, Smith, & Harris-Thompson, 2007) to assess theoretical and applied implications for learning and instruction in a complex domain. Findings are represented by …
-
Using routing information to improve MAC performance in multi-hop wireless networks
… utilizing a new Pioneer (PION) scheduling frame, is introduced to improve the efficiency in wireless medium reservation for multi-hop wireless networks. With the help of limited routing information at the MAC layer, this new mechanism enables multiple stations along a delivery path to …
-
Leveraging Temporal Dynamics to Enhance Radar-Based Object Detection in Adverse Weather for Autonomous Vehicles
… by exploring strategies such as raw radar data preprocessing, including denoising and resolution enhancement to improve the signal-to-noise ratio, and multi-modal sensor fusion to compensate for radar’s shortcomings. Radar-specific deep learning architectures have also emerged to enable …
-
A baited remote underwater video survey of the Goukamma Marine Protected Area's ichthyofauna and a subsequent community structure comparison with the Betty's Bay, Stilbaai, and Tsitsikamma Marine Protected Areas
… video (BRUV). I collected and analysed mono-BRUV data over five years to determine patterns in fish community structure in Goukamma and compare it to the pre-existing CAS and UVC data. BRUVs are less invasive and more robust than the other two survey methods and have the potential to become the …
-
A Framework for Extraction Plans and Heuristics in an Ontology-Based Data-Extraction System
… be used to achieve a high degree of accuracy in data extraction while maintaining resiliency in the face of document changes. Ontologies do not, however, diminish the complexity of a data-extraction system. As research in the field progresses, the need for a modular data-extraction system that …
-
Statistical methods for quantification of voxel-level image noise in PET/CT imaging
… of genuine replicates. With dynamic multi-frame PET image data, it has been possible to construct a practical image-domain bootstrap scheme for estimation of the image noise characteristics. This thesis aims to develop an adaptation of this technique that can be used when only a single data …
-
Ieee 802.15.4 Wireless Sensor Networks: Gts Scheduling and Service Differentiation
… of the IEEE 802.15.4 LR-WPAN is to support low data rate connectivity among wireless sensors with low complexity, cost and power consumption [3]. It specifies two types of network topologies, which are the beacon-enabled start network and the nonbeacon-enabled peer-to-peer network. For the …
-
An investigation into the dynamic implementation of a 16-electrode FDM Electrical Impedance Tomography System
… be addressed included: the development of a new data acquisition system and the upgrading of measurement hardware. There exists (now) measurement hard-ware capable of capturing EIT data from a 16-electrode rig using sine-wave excitation. The electrode ring contains three sets of electrodes - one …