In modern biological science research, a critical issue to success is handling and processing large amounts of data. Bioinformatics emerged in response to this requirement. The new field uses information technology to organize, visualize, and analyze large set of biological information such as DNA sequences and expression from DNA microarrays, structure-function relationships of proteins, etc. The Bioinformatics Group
- Supports end-user access to biological information resources and bioinformatics tools with a focus on visualization, data mining, conceptual modeling, and statistical analysis;
- Provides consultation and education in using biomedical databases and bioinformatics tools; and
- Enhances communication and data sharing among Rhode Island biological researchers.
The goal of this project is to develop models to support a prototype simulation tool that will permit professionals to analyze the various geometric and human factor elements that influence the ways which pedestrians move in buildings during emergency and non-emergency situations. This is a multidisciplinary project that brings together safety professionals, and researchers (faculty and students). The research expertise are from civil engineering, computer science, industrial and manufacturing engineering, psychology, and social psychology.
The ADVANCE project at the University of Rhode Island is a 5-year program funded by the National Science Foundation in 2004-2010, designed to improve and enrich the scientific, technology, engineering, and mathematical academic workforce at URI through the increased representation and participation of women faculty. Through an aggressive institutional transformation effort, URI ADVANCE has improved recruitment and faculty development, as well as provided networks of support, and effected overall climate change, to the ultimate benefit of all faculty and students at the University of Rhode Island.
The intent of these multidisciplinary URITC and RIDOT funded projects is to provide new data analysis models and software prototypes for traffic management in Rhode Island. The team is collecting and analyzing traffic data and developing analytical and predictive models for traffic management. At the same the group is developing software designs and prototypes that integrate GIS, Web, and database technology to provide information to the various stake holders (the traveling public, the DOT, safety and crisis management professionals). These projects are also providing good practical and educational experiences to the graduate students who are involved in the work.
The RTDOC group at the Univeristy of Rhode Island performs research and development of real-time distributed object computing technology. Real-time applications have timing constraints, such as deadlines and/or periods of execution. Examples of distributed real-time systems include military command and control applications, manufacturing control, sensor networks, and telecommunication. We express, enforce, and analyze real-time requirements, by using, adapting, and extending, classic real-time scheduling algorithms, mechanisms, and approaches in the distributed object paradigm.
You may have read or heard about wireless sensor networks or “smart dust” in the popular media. Recent advances in hardware have made it possible to design tiny computers with two key features: sensors that measure environmental properties, and radios that can communicate readings over a wireless network. These computers – often called “motes” – are roughly 1 by 2 inches in size and run on small batteries. Standard sensors include light, temperature, humidity, and barometric pressure sensors, as well as microphones, accelerometers, and magnetometers. Sensors for soil moisture, leaf wetness, wind speed & direction, and a rain gauge may also be available. For communications, each computer has a radio with a broadcast range of approximately 150 feet. The computers autonomously form a wireless network that can report readings to one or more base stations. Our research group has been funded by the National Science Foundation to study real-time data distribution in sensor networks. Our work-in-progress involves developing network algorithms for sensor networks. We are currently implementing medium access control and routing protocols for network-wide dissemination.
Recently the group has been instrumental in the design of the OMG’s Realtime CORBA 1.0 Scheduling Service specification. The group has also worked with TriPacific Software to provide an interface between the PERTS real-time analysis software and the Realtime CORBA 1.0 scheduling service. This new work combines previous work involving expression and enforcement of timing constraints in a non-real-time ORB, with the fixed priority scheduling work. Papers describing Real-Time CORBA research can be found here.