This talk will present scientific breakthroughs such as the use of cellular phone for medical imaging in small clinics and rural areas, detecting internal bleeding remotely in rural areas through multi-frequency spectroscopy, a simple electrolytic means for low power electricity, using classifiers to augment lack of expert medical care in rural areas, treatment of cancer in rural clinics and others.
The Sacramento Municipal Utility District (SMUD) is committed to advancing smart grid technologies in its service territory. Last year SMUD was awarded $127.5 million through the American Recovery and Reinvestment Act (ARRA) to advance smart grid implementation by several years.
On the distribution side of a power system, there exist many distributed energy resources (DERs) that can be potentially used to provide ancillary services to the grid they are connected to. An example is the utilization of power electronics grid interfaces commonly used in distributed generation to provide reactive power support. While the primary function of these power electronics-based systems is to control active power flow, when properly controlled, they can also be used to provide reactive power support.
John Seely Brown is a visiting scholar and advisor to the Provost and the Independent Co-Chairman of the Deloitte Center for the Edge. He is the former Chief Scientist of Xerox Corporation and the director of its Palo Alto Research Center (PARC).
Futurefarmers’ Amy Franceschini and Michael Swaine are currently working on a new project for the Berkeley Art Museum. This new project, A Variation on the Powers of Ten, uses the opening scene of the 1977, Charles and Ray Eames film to frame ten discussions with a diverse range of researchers.
As a nation, over half of our students fail Algebra every year. Agile Mind was founded with the mission of changing what happens between educators and students in the classroom in ways that improve the quality of instruction of high school mathematics and science, especially in underserved areas.
As cities become knowledge-intensive economies, urban planning requires them to weigh the importance of inherently dissimilar activities, such as digital vs physical and economic vs non-economic.
This talk addresses the challenge of integrating variable and uncertain renewable electricity sources into the grid, and focuses on what demand-side resources and energy storage can do to address these challenges.
In this talk, I will present a nonlinear feedback control synthesis algorithm which combines randomized motion planning algorithms, popular in robotics, with sum of squares optimization. In order to drive the system to a goal state or limit cycle, the algorithm systematically populates the controllable subset of state space with a sparse set of trajectories which are locally stabilized with linear feedback and verified with sums of squares; we have now developed efficient methods for performing this verification along trajectories and around limit cycles, on systems with hybrid dynamics, and on systems with mixed polynomial/trigonometric nonlinearities.
