Widespread application of distributed control systems and measurement technologies in chemical plants are prerequisites for quality control and safety monitoring of processes. This consequently has prompted large-scale data acquisition and storage from different processes and va…
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Large, complex system development projects take several years to execute. Such projects involve hundreds of engineers who develop thousands of parts and millions of lines of code. During the course of a project, many design decisions often need to be changed due to the emergence…
Integrins are α/β transmembrane receptors that mediate cell-matrix and cell-cell adhesion, comprised of multi-domain, massive ectodomains, singlepass, transmembrane domains, and short, floppy cytoplasmic domains. They link the extracellular matrix or counter-receptors on other …
This study explores healthcare coverage disparity using a quantitative analysis on a large dataset from the United States. One of the objectives is to build supervised models including decision tree and neural network to study the efficient factors in healthcare coverage. We als…
This study investigates the effects of clustering or format of presentation (categorized and uncategorized lists), level of color realism of graphics (color pictures, black and white pictures and line drawings), and age (10 year old, 16 year old and adults) on the pictorial reca…
Toxic compounds, such as pesticides, are routinely tested against a range of aquatic, avian and mammalian species as part of the registration process. The need for reducing dependence on animal testing has led to an increasing interest in alternative methods such as in silico mo…
This thesis develops a robust methodology for on-line identification of power system dynamic signature based on incoming system responses from Phasor Measurement Units (PMUs) in Wide Area Measurement Systems (WAMS). Data mining techniques are used in the methodology to convert r…
Datasets created from large-scale specimen digitisation drive biodiversity research, but these are often heterogeneous: incomplete and fragmented. As aggregated data volumes increase, there have been calls to develop a "biodiversity knowledge graph" to better interconnect the da…
Although traditionally Wireless Sensor Network (WSNs) have been regarded as static sensor arrays used mainly for environmental monitoring, recently, its applications have undergone a paradigm shift from static to more dynamic environments, where nodes are attached to moving obje…
In recent years knowledge has become an important resource to enhance the business and many activities are required to manage these knowledge resources well and help companies to remain competitive within industrial environments. The data available in most industrial setups is c…
The initial public offering (IPO) underpricing phenomenon has frequently been noticed and generally is accepted as a puzzle in financial economics. Some of the new theories, such as behavioural finance, take the underpricing puzzle as one important form of evidence. However, som…
This research focuses on the development of a novel adaptive dynamical system approach to vector quantization or clustering based on only ordinary differential equations (ODEs) with potential for a real-time implementation. The ODE-based approach has an advantage in making it po…
This dissertation integrates two important fields of information technology, data mining and data envelopment analysis (DEA), to provide a new tool for measuring the performance of decision making units (DMU). The DEA is a powerful performance measurement methodology for assessi…
Clustering of expressed sequence tags (ESTs) is a vital step in EST analysis pipeline. The main goal of clustering is to gather overlapping ESTs from the same transcript of a single gene into a distinct cluster. A simple way to cluster ESTs is by comparing their similarity in a …
Current networking architectures and communication protocols used for Wireless Sensor Networks (WSNs) have been designed to be energy efficient, low latency, and long network lifetime. One major issue that must be addressed is the security in data communication. Due to the limit…
Asthma is one of the most common chronic conditions in the United States. Asthma affects about one in fifteen people. It affects children more than adults and blacks more than whites. People with asthma experience attacks of wheezing, breathlessness, chest tightness, and coughin…
The present study aims at investigating the most effective method of clustering vocabulary in the presentation of vocabulary to learners. It investigated three types of clustering, semantically-related sets, semantically-unrelated sets, and thematically related sets and their ef…
Structural health monitoring (SHM) is a process to detect damage(s) in engineering structures and to determine the damage locations and types. Typically, damages in a structure are detected by using measurements collected from sensors built for that purpose. This research is mul…
Comprehending the evolutionary history of the Milky Way can offer great insight into how both our home Galaxy and others form and grow. However, studying the Milky Way from our position embedded within it is difficult, and this challenge is exacerbated by the fact that our obser…