Advanced Technology > ACIS > Embedded Systems & Technologies (EST)
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Advanced Technology
- Autonomous Control & Intelligent Systems
- Energy Science & Power Systems
- Sonar Research & Development
- Special Projects and Unmanned Vehicles
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Embedded Systems and Technologies (EST) performs basic and applied research, development, and rapid prototyping of advanced embedded systems using strong engineering standards. Our goals are to develop and maintain internationally-recognized expertise, advance the state-of-the-art, and transition technology and systems to the US Navy and other DoD sponsors.
EST staff have extensive experience with applications that require real-time processing, high performance, and/or low power. Embedded platforms range from rack-mounted systems to systems designed to be small and rugged. Supported processors include the Power PC, Intel Multicore, Cell Background Engine (BE), Graphical Processor Unit (GPU), and FPGA. An open architecture design using Commercial Off the Shelf (COTS) components is emphasized. Software is developed in C++ using Matlab as the primary analysis tool.
EST works closely with Penn State’s Computer Science and Engineering (CSE) department and supports both graduate and undergraduate research. Research areas include high performance computing, novel architectures, and data mining.
Technical Areas
EST staff have extensive experience with applications that require real-time processing, high performance, and/or low power. Embedded platforms range from rack-mounted systems to systems designed to be small and rugged. Supported processors include the Power PC, Intel Multicore, Cell Background Engine (BE), Graphical Processor Unit (GPU), and FPGA. An open architecture design using Commercial Off the Shelf (COTS) components is emphasized. Software is developed in C++ using Matlab as the primary analysis tool.
EST works closely with Penn State’s Computer Science and Engineering (CSE) department and supports both graduate and undergraduate research. Research areas include high performance computing, novel architectures, and data mining.
Technical Areas
- Object-Oriented Programming (OOP)
- Open architecture design
- Advanced middleware
- Real-time operating systems
- Low-power systems
- Algorithm development
- Data analysis
- Emerging hardware technologies
- Rapid Prototyping
- Software Engineering
System Applications
- Autonomous Control Vehicles (UAV, UUV)
- Data Mining
- Image Processing
- Pattern Recognition
- Record Systems
- Signal Processing
- Test and Evaluation