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Visible to the public Image Guided Autonomous Optical Manipulation of Cell Groups

Abstract:

Optical tweezers (OT) have emerged as very useful tools for manipulating cells. Biologists use them routinely for doing scientific experiments and have made many new important discoveries by utilizing them. By integrating perception, planning, and control, we have turned optical tweezers into robots for precise manipulation of microscale objects. This makes them useful tool for conducting sophisticated biology experiments that require concurrent manipulation of multiple cells.

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Visible to the public Plug-and-Play environment for sensor configuration and data collection

Abstract:

The objective of this research is to investigate and implement a software architecture to improve productivity in the development of rapidly deployable, robust, real-time situational awareness and response (R3SAR) applications. The approach is to allow a commodity to device to dynamically configure itself for a pre-instrumented sensor environment, such as a truck with attached road temperature, humidity, and moisture sensors.

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Visible to the public Cyber-Physical Cloud Computing

Abstract:

We are focused on theoretical work exploring how ideas successful in cloud computing can help CPS at scale. We have two products. One is the "Virtual Vehicle" and the other the "BigActor Model." The first is a mobile counterpart of the virtual machine. There is a tension between the openness of systems, unavoidable in any system at scale, and performance guarantees.

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Visible to the public Active Heterogeneous Sensing for Fall Detection and Fall Risk Assessment

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The interdisciplinary eldertech team at the University of Missouri is dedicated to developing and evaluating technology to keep older adults functioning at high levels and living independently. We are leveraging ongoing research at a unique local eldercare facility (TigerPlace) to study active sensing and fusion using vision and acoustic sensors for the continuous assessment of a resident's risk of falling as well as the reliable detection of falls in the home environment.

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Visible to the public A Framework for Enabling Energy-Aware Smart Facilities

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The goal of the proposed research is to identify ways to inexpensively provide specific information about energy consumption in buildings and facilitate conservation. Signal processing, machine learning, and data fusion techniques will be developed to extract actionable information from whole-building power meters and other available sensors.

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Visible to the public A Unified System Theoretic Framework for Cyber Attack-Resilient Power Grid

Abstract:

The electric power grid is a complex cyber-physical system (CPS), whose reliable and secure operation is of paramount importance to national security and economic vitality. There is a growing and evolving threat of cyber-based attacks, both in numbers and sophistication, on the nation's critical infrastructures. Therefore, cyber security - encompassing attack prevention, detection, mitigation, and resilience - is critical in today's power grid and the emerging smart grid.

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Visible to the public Formal Models of Human Control and Interaction with CPS

Abstract:

Cyber-Physical Systems (CPS) encompass a large variety of systems including example future energy systems (e.g. smart grid), homeland security and emergency response, smart medical technologies, smart cars and air transportation. One of the most important challenges in the design and deployment of Cyber-Physical Systems is how to formally guarantee that they are amenable to effective human control.

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Visible to the public Cyber-physical Integration for Digital Microfluidic Biochips

Abstract:

The goal of this project is to integrate digital microfluidics systems with thin-film photodetectors in the top plate to realize biochemical target sensing using fluorescence. System control, adaptation, and reconfiguration through software will lead to a general-purpose lab-on-chip computing platform, in the same way as programmable computing devices allow multifunctional capabilities via software on a hardware platform.