PPT-Goshen Area Bus Reconfiguration

Presented by PacifiCorp Grid Operations PreContingency Load Shed Event December 4 2013 Precontingency load shed required to prevent postcontingency violation on underlying 161 kV system for loss of 345 kV source into Goshen. Horseshoe Pines was carved from a piece of this farm (pictured below) when a local businessman built a house on it, which was later purchased by a second family who had the idea of "Shared Home." Visitors often comment that it's like being "at home." Horseshoe Pines provides 3 meals a day, snacks, light housekeeping, some assistance with bathing and personal care, supervision of medications, coordination with the doctor, dentist, and other appointments and rides . . ARCHITECTURE. 1. Agenda. Introduction. Partial Reconfiguration Basics. Design Considerations. Advantages of Partial Reconfiguration. Challenges of Partial Reconfiguration. Application Examples. Reducing . the size of the FPGA device required to implement a given function, . with consequent . reductions in cost and power consumption. Providing . flexibility in the choices of algorithms or protocols available to . Online Reconfigurations in . Ring. -Based . NoSQL. Systems. Yosub. Shin, . Mainak. . Ghosh. ,. Indranil Gupta. University of Illinois at Urbana-Champaign. 1. DPRG: http://. dprg.cs.uiuc.edu. Ring-Based Key-value Stores. Alex . Shraer. (. Technion. ). Joint work with: . J.P. Martin, D. Malkhi, M. K. Aguilera (MSR) . I. . Keidar. (. Technion. ). Preview. 2. The setting: . data-centric. replicated storage. Simple network-attached storage-nodes . Wensheng. Zhang and . Guohong. . Cao. Dynamic Convoy Tree-based Collaboration (DCTC). Constructing the Initial Convoy Tree. Apply existing root election algorithm. Other node connect to a neighbor closest to the root. Ethan Taylor. Dept. of Administration and Finance. Coordinator of Budgets and Grants. What is The difference in a “school” and a “program”?. When does the . sde. need to know about changes for the upcoming year?. Zhanpeng Jin Allen C. Cheng. zhj6@pitt.edu. . acc33@pitt.edu. . ASPLOS 2010, The Wild and Crazy Session VIII. Artificial Neural Network. (Source: ". Anatomy and Physiology. Rohit Kumar. Dr. Ann Gordon-Ross. {. kumar. , . ann. }@. chrec.org. Dept. of Electrical and Computer Engineering. University of Florida. Gainesville, FL 32608 USA. RAW’15. Hyderabad, India . May 25, 2015. Hao. Zhou∗, Xinyu Niu†, . Junqi. Yuan∗, . Lingli. Wang∗, Wayne . Luk. † . †Dept. of Computing, Imperial College London, UK . ∗School of Microelectronics, . Fudan. University, China . Alex . Shraer. (. Technion. ). Joint work with: . J.P. Martin, D. Malkhi, M. K. Aguilera (MSR) . I. . Keidar. (. Technion. ). Preview. 2. The setting: . data-centric. replicated storage. Simple network-attached storage-nodes . Hao. Zhou∗, Xinyu Niu†, . Junqi. Yuan∗, . Lingli. Wang∗, Wayne . Luk. † . †Dept. of Computing, Imperial College London, UK . ∗School of Microelectronics, . Fudan. University, China . P. roximity . T. echnology with fl. U. x pinning & . R. econfiguration . E. xperiments. CAPTURE:. David Bayard, Laura Jones, and Swati Mohan. Jet Propulsion Laboratory. California Institute of Technology. A CASE STUDY WITH EKF AND DWT ALGORITHMS. Robert Barnes. Utah State University. Department of Electrical and Computer Engineering. Thesis Defense, November 13. th. 2008. Outline. Introduction & Background.