The world of large scale secure computation has changed. Computational needs have far outpaced the ability of most modern companies to build and maintain their own datacenters. Cloud computation has picked up this slack ...

Time of day pricing reduces the traffic on highway network by discouraging its overuse, especially during peak hours. Public acceptability is one of the important barriers for implementing the congestion pricing. The ...

In general, automatic speech recognition (ASR) algorithms are designed for use with pure, anechoic signals. Although ASR systems approach a human’s intelligibility for clean signals, it is well acknowledged that a downfall ...

Drug development is inefficient and expensive, with less than 10% of drug candidates entering clinical trials proceeding to market, and each costing an estimated $2.5 billion. This inefficiency is due to several reasons, ...

This dissertation focuses on two different but related natural language processing problems, namely, question answering and question generation. Automated question answering (QA) is the process of finding answers to natural ...

Let X ∈ R n×d be a data matrix of rank ρ, representing n points in R d . The linear support vector machine constructs a hyperplane separator that maximizes the 1-norm soft margin. We develop a new oblivious dimension ...

In an ever-evolving digital world, the onset of the Internet of Things leads to a new problem in secure communications. Embedded devices may lack the computational power to generate high entropy random numbers for cryptographic ...

With the increasing popularity of multi-use performance halls, variable acoustic systems are in high demand. User interfaces with presets are often used to switch between various acoustical settings in which users select ...