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Engineering, Science, & Technology

Creating, innovating, addressing challenges, solving problems, and improving the quality of lives in society.

Achieving secure, high performance implementations for constrained applications such as implantable and wearable medical devices is a priority in efficient block ciphers. However, security of these algorithms is not guaranteed in presence of malicious and natural faults. Recently, a new lightweight block cipher, Midori, has... READ MORE
This study evaluates STEM students’ preconceptions regarding Quality of Service (QoS) in telecommunications and networking with the goal of understanding the nature of these preconceptions to improve student learning in this discipline. In this study we explain the importance of identifying preconceptions with which students... READ MORE
This study evaluates STEM students’ preconceptions regarding Quality of Service (QoS) in telecommunications and networking with the goal of understanding the nature of these preconceptions to improve student learning in this discipline. In this study we explain the importance of identifying preconceptions with which students... READ MORE
Statistical models have been successful in accurately estimating the biochemical contents of vegetation from the reflectance spectra. However, their performance deteriorates when there is a scarcity of sizable amount of ground truth data for modeling the complex non-linear relationship occurring between the spectrum and the... READ MORE
In this paper, we propose and compare two spectral angle based approaches for spatial-spectral classification. Our methods use the spectral angle to generate unary energies in a grid-structured Markov random field defined over the pixel labels of a hyperspectral image. The first approach is to... READ MORE
With rapid developments in satellite and sensor technologies, increasing amount of high spatial resolution aerial images have become available. Classification of these images are important for many remote sensing image understanding tasks, such as image retrieval and object detection. Meanwhile, image classification in the computer... READ MORE
Object detection in high resolution remote sensing images is a crucial yet challenging problem for many applications. With the development of satellite and sensor technologies, remote sensing images attain very high spatial resolution, giving rise to the employment of many computer vision algorithms. Therefore, the... READ MORE
Probabilistic graphical models have strong potential for use in hyperspectral image classification. One important class of probabilisitic graphical models is the Conditional Random Field (CRF), which has distinct advantages over traditional Markov Random Fields (MRF), including: no independence assumption is made over the observation, and... READ MORE
Changes in vegetation cover, building construction, road network and traffic conditions caused by urban expansion affect the human habitat as well as the natural environment in rapidly developing cities. It is crucial to assess these changes and respond accordingly by identifying man-made and natural... READ MORE
As the field of robotic and humanoid systems expand, more research is being done on how to best control systems to perform complex, smart tasks. Many supervised learning and classification techniques require large datasets, and only result in the system mimicking what it was... READ MORE
Multicopter aircrafts have become popular platforms for researching flight control and aerial image processing applications. These crafts could gain unique utility from the ability to fly to remote locations, land, then walk to perform close quarters inspection of the area. This thesis presents a novel... READ MORE