This paper is a theoretical approach to solve
problems of horizontally curved beams Castiglione's
theorem is applied to solve for the fixed end bending
moments, maximum span moments and fixed end torsional
moments. To calculate the vertical deflection at the midspan
of the curved beam the moment-area method is used....
In the present study, processed soymilks prepared by various
manufacturing methods were examined for quality by physical and
chemical methods. Viscosity, pH, soluble solids, total solids, fat
and protein content were used as indicators of quality. The principal
factor investigated was the protein content as measured by the
dye-binding procedure....
Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to identify statistically significant anomalies, a more difficult task is to identify anomalies that are both interesting and statistically significant. Category detection is an emerging area of machine learning...
The fundamental aim of this study was to determine how Malaysians define both leisure
and recreation. Two ethnic groups, Chinese and Malays, and rural and urban variants of these
groups were included in the sample. The other objective was to determine if there were differences
in the definitions due to...
Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...
Currently, the technologies used to separate lignocellulosic biomass into its component parts (cellulose, hemicellulose, and lignin) and enzymatically hydrolyze the cellulose to glucose for conversion to ethanol could be improved economically and in terms of efficiency. A major impediment to utilizing the biomass is the presence of residual lignin. The...
This thesis consists of four short stories and Chapter 1 of a novel in progress. Each of the four stories are thematically linked through a common protagonist, Nancy, and through a relatively chronological following of events in her life. I chose to tell Nancy's stories in an attempt to gain...
Building intelligent computer assistants has been a long-cherished goal of AI. Many intelligent assistant systems were built and fine-tuned to specific application domains. In this work, we develop a general model of assistance that combines three powerful ideas: decision theory, hierarchical task models and probabilistic relational languages. We use the...
Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
In this thesis, a new learning algorithm is introduced that is targeted towards individual fairness. In order to be individually fair, mispredictions need to be avoided as each such prediction means the learning algorithm was unfair towards some individual. Therefore, achieving individual fairness implies having a perfect classifier, which is...