Hardware architecture and a software framework, where the combination allows software to run.
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Vehicle systems, being either ground/air/water vehicles, require hundreds/thousands of battery cells to meet their power and energy needs. In this project, we aim to develop comprehensive management solutions of such large-scale batteries with the joint consideration of peak power, operation time, and battery life for vehicle electrification.
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This project will design and implement a domain-specific language and compiler for microfluidic laboratory-on-a-chip (LoC) devices based on electrowetting-on-dielectric (EWoD) technology. The Lead PI's team has designed and implemented BioScript, a domain-specific programming language for programmable microfluidics. The BioScript syntax is programmer friendly, with the intention of being accessible to biologists and other researchers and practitioners in the life sciences.
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The goal of this project is to create an integrative framework for the design of coupled biological and robotic systems that accommodates system uncertainties and competing objectives in a rigorous, holistic, and effective manner. The design principles are developed using a concrete, end-to-end application of tracking and modeling fish movement with a network of gliding robotic fish. The proposed robotic platform is an energy-efficient underwater gliding robotic fish that travels by changing its buoyancy and mass distribution (gliding) or by flapping tail fin (swimming).
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The goal of this project is to create a scalable and robust cyber-physical system (CPS) framework for the observation and control of the functional interdependencies between bridge structures (stationary physical systems) and trucks (mobile physical agents). A CPS framework (Figure 1) is being developed to monitor and control trucks within a single highway corridor to manage the imposed loads and the consumption of structural life by trucks on highway infrastructure including bridges.
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Many safety-critical cyber-physical systems rely on advanced sensing capabilities to react to chang- ing environmental conditions. However, cost-effective deployments of such capabilities have remained elusive. Such deployments will require software infrastructure that enables multiple sensor-processing streams to be multiplexed onto a common hardware platform at reasonable cost, as well as tools and methods for validating that required processing rates can be maintained.
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This project combines Cyber Physical Systems (CPS) and gigabit networks to address major health concerns due to air pollution. A wide range of health outcomes are affected by air pollution. In March 2014 the World Health Organization (WHO) released a report that in 2012 alone, a staggering 7 million people died as a result of air pollution exposure, one in eight of the total global deaths. A major component of this pollution is airborne particulate matter. Approximately 50 million Americans have allergic diseases.
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This project develops a theoretical framework as well as software tools to support testing and verification of a Cyber-Physical System (CPS) within a Model-Based Design (MBD) process. The theoretical bases of the framework are stochastic optimization methods, and robustness notions of formal specification languages.