PPT-DYNAMO

Webinar Series Dynamics of the MaddenJulian Oscillation Field Campaign Climate Variability amp Predictability Application of DYNAMOAMIE observations to validate and improve the representation of MJO initiation and propagation in the NCEP CFSv2. BY –. SAMHITHA REDDY EE12B1029. UTKARSH SAXENA CE12B1024. TUSHAR AGGARWAL ES12B1021. AIM. Transforming shock absorbers momentum to electricity. .. PROJECT. :- Everybody Needs Electricity In Our Daily Life At Every Instant Now-a-Days We Are Using Electricity For Every Thing i.e. Personel,Domestic Industrial And Where ever We Go We Need Electricity We Are Not Reaching The Demand The Production With Usage Ratio Far Behind For Example Today Production is 10 Watts But We Need 100 Watts To Fill The Gap Every Body Adjust Their Self Not Use More Than Production For Generation Of Electricity We Are Losing Natural Resources i.e. Coal,Gas,Crude Oil,Water And Wood etc. After Few Years We Won’t Get These from Nature Than What About Our Future For This Every Body Must And Should Generate Electricity Their Self Upto Certain Extent I Got An Idea With This We Can Fill A Little Bit Gap. Between Generation And Usage.. Amazon’s Highly Available Key-Value Store. Presented By. Roni Hyam. Ami Desai. Introduction. Dynamo is a highly available and scalable key-value storage system adapted for a number of core services in Amazon’s e-commerce platform.. crowd workers. @. niloufar_s. niloufar@cs.stanford.edu. STANFORD HCI GROUP. Niloufar Salehi, Lilly . Irani. , . Michael . Bernstein, . Ali . Alkhatib. , Eva . Ogbe. , Kristy . Milland. , . Clickhappier. Core Evolution. ~ 700 . Myr. T(r,. t. ). C(. r,t. ). r. ICB. (t). 3D Model:. Numerical Dynamo. ~ 5 . Myr. intervals. T(. x. ,t. ). C(. x. ,t. ). B. (. x. ,t. ). Thermodynamic. Parameters. CMB Heat Flow Q(t). Steve Saar (. CfA. /SAO. ). Essentia. l Observations for Stellar Dynamos. Observations of Stellar Magnetic Variability. So, . typically use proxies for B….. Ideally would like . high res. vector B! . Bjerknes. Memorial Lecture, AGU, San Francisco, 4 December 2012. Robert Houze. University of Washington. A personal story of three great field campaigns and the evolution of meteorological satellites . An up-close view of turbulent, clumpy galaxies. David B Fisher . Swinburne University of Technology. Karl . Glazebrook. , Rob Bassett, Andy Green, Heidi White, . Ivana. . Damjanov. , Emily . Wisnioski. COSC7388 – Advanced Distributed Computing. Presented By:. Eshwar Rohit . 0902362. Outline. Introduction. Background. Architectural Design. Implementation. Experiences & Lessons learnt. Conclusions. future. Think Tank. : . Data. Durham Town Hall. Kindly hosted by: . Durham County Council, 12. th. May 2016. #dynamo. future. Agenda:. Phil Jackman, Durham County Council – . Welcome and introduction to the data opportunities. Steve Saar (. CfA. /SAO. ). Essential Observations for Stellar Dynamos. Observations of Stellar Magnetic Variability. So, typically use proxies for B….. Ideally would like . high res. vector B! . Landi. , Peter Son, Evan Tony. How it Works. Utilizing magnetic fields to convert mechanical rotation . (via hand crank) into . a pulsating direct current. The motion causes the magnetic field to push on electrons . Scaling up. Assumption so far: . All replicas have entire state. Example: Every replica has value for every key. What we need instead:. Partition state. Map partitions to servers. 2. Partitioning state. L2 Compasses. L3 EM practical. L4 Solenoid. L5 Force on a current carrying wire. L6 Fleming LHR. L7 Motors. L8 Induced potential. L9 Generator effect. Students have learnt induced potential and AC and DC. These ideas should be retrieved and built upon during this lesson. . CS 240: Computing Systems and Concurrency. Lecture 8. Marco Canini. Web applications are expected to be “always on”. Down time .  pisses off customers, costs $. System design considerations relevant to availability.