Analysis and Annotation Tool (AAT)  Most small engines still use traditional carburetor technology which produces decreased reliability and increased emissions when compared to fuel injection. Current electronic fuel injection technology is not cost effective for application in small engines. This technology allows for the manufacture of a low-cost mechanical fuel injector that can be utilized in place of a traditional carburetor. Development work to-date suggests that the mechanical injector can be designed to simply replace existing carburetors on production small engines without any significant redesign other than a means to connect the injector to the engine’s camshaft. |
MAP: A Multiple Alignment Program The MAP program computes a multiple global alignment of sequences using iterative pairwise method. The underlying algorithm for aligning two sequences computes a best overlapping alignment between two sequences without penalizing terminal gaps. In addition, long internal gaps in short sequences are not heavily penalized. So MAP is good at producing an alignment where there are long terminal or internal gaps in some sequences. The MAP program is designed in a space-efficient manner so long sequences can be aligned. Note that sequences must be all DNA/cDNA sequences or all protein sequences. |
MTS Algorithm Dr. Subhash has developed a mathematical algorithm for reconstructing partial signals and signal processing in the presence of noise. This algorithm can have general application. It was originally developed as a NVH application for system response. |
Fault Tolerant Computing Dr. Kieckhafer is heading an area focused on fault tolerant distributed computing. The core of this work involves voting algorithms that allow redundant computers to come to agreement by eliminating the most unlikely fault mode. This work has a broad range of relevance. |
Soft Computing and Embedded Systems  This program of research is focused on two areas. The first involves the development of soft computing techniques and their applications to computer learning and pattern recognition. Specific research topics include classification and regression trees, fuzzy systems, global optimization algorithms, and fuzzy-neural computing. The second involves the development of an interactive, subroutine-threaded programming language for embedded systems. It also includes the study of issues related to the design of embedded systems including hardware/software co-design, microcontrollers, and FPGA synthesis using VHDL. |
Text, Image and Video Databases This research program focuses on a topics associated with motion analysis and object tracking, document image processing, pattern recognition and machine learning. More generally, issues under investigation include data mining in text, image and video databases as well as neural networks design and application. |
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