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Did you Miss? 19 Feb, 2014 Systems Research at University of Maryland, College Park

by Communications Team on January 7, 2014  •   Print This Post Print This Post   •   

Systems Research at University of Maryland, College Park

Speakers: Mr. Petnga and Ms Delgoshaei are PhD candidates, Mr. Block a Masters candidate, all doing research at the UMCP Institute for Systems Research

Leonard Petnga Leonard Petnga

Ontologies and Time-based Reasoning for Model-Based Systems Engineering (MBSE) of Cyber-Physical Systems (CPS) CPS are characterized by a tight integration of software and physical processes, the need to satisfy stringent constraints on performance, safety and a reliance on automation for the management of system functionality. We’ll discuss semantics and their central role in the development of MBSE procedures for behavior modeling and design of CPS and, especially a new reasoning framework. Meta domain ontologies and semantics, temporal ones, are found to be critical in understanding and modeling the behavior of such systems.

Parastoo Delgoshaei Parastoo Delgoshaei

Semantic Platforms for Requirements Traceability and System Assessment This presentation describes a new approach to requirements traceability and system assessment through the use of semantic platforms. The platform is an integration of software design patterns supporting traceability mechanisms and associated sets of rules. This platform will enhance systems engineering practice by filling in the gap between system requirements and system models, by allowing for rule checking early in design and by providing support for performance assessment during the system operation.


Peter Block Peter Block

All Elastomer Tactile Sensors for Robotic Skins While development has improved robot-human interaction, and general sensing capability, the ability to provide a material akin similar to human skin has still proved troublesome because either the skin would be too expensive or require complex wiring, making any sort of scale-up to full coverage of a humanoid robot impractical. A cheap and scalable solution to robotic skins can be realized by combining conductive polymers with simple low-power micro-controllers to make tactile systems.


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