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public class UserStoriesApp2 { public static UserStory aUserStory = new UserStory(); public static void main(String[] args) throws Exception { UserStoriesApp2 ua2 = new UserStoriesApp2(); //File story = null; FileInputStream fileInputStream=null; FileOutputStream fileOutputStream=null; try { // turn the XML file into a content tree File story = new File("SampleStories.xml"); fileInputStream = new FileInputStream(story); aUserStory = aUserStory.unmarshal(fileInputStream); // add to the tree and validate it ua2.addNewTask(aUserStory); aUserStory.validate(); // turn the content tree into an XML file File alteredStories = new File("alteredStories.xml"); fileOutputStream = new FileOutputStream(alteredStories); aUserStory.marshal(fileOutputStream); } catch(Exception e) { e.printStackTrace(); } finally { fileInputStream.close(); fileOutputStream.close(); } //System.out.print(aUserStory.toString()); } private void addNewTask(UserStory taskUserStory){ List myTasks = taskUserStory.getTask(); Task purchaseTask = new Task(); purchaseTask.setIdNumber(1);

[1] Whitehead, A N Science and the Modern World, Free Press, New York, 1967, p 58 [2] von Laszewski, G and Wagstrom, P (2004) Gestalt of the Grid, Performance Evaluation and Characterization of Parallel and Distributed Computing Tools, Series on Parallel and Distributed Computing, pp 149 187; Wiley, (to be published); http://wwwmcsanlgov/ gregor/papers/vonLaszewski gestaltpdf [3] Smarr, L and Catlett, C (1992) Metacomputing Communications of the ACM, 35(6), 44 52 [4] Foster, I (2002) The Grid: A New Infrastructure for 21st Century Science Physics Today, 55(22), 42; http://wwwaiporg/pt/vol-55/iss-2/p42html [5] von Laszewski, G, Su, M-H, Insley, J A, Foster, I, Bresnahan, J, Kesselman, C, Thiebaux, M, Rivers, M L, Wang, S, Tieman, B, and McNulty, I (1999) Real-Time Analysis, Visualization, and Steering of Microtomography Experiments at Photon Sources.

Value Style Price-earnings (P/E) Price/book value Price/cash ow Price/sales Debt/equity Earnings growth Revenue growth Sales growth Return on equity (ROE) Return on assets (ROA) Lower Lower Lower Lower Lower Lower Lower Lower Lower Lower Growth Style Higher Higher Higher Higher Higher Higher Higher Higher Higher Higher

Ninth SIAM Conference on Parallel Processing for Scienti c Computing, San Antonio, TX, March 22-24; http://wwwmcsanlgov/ gregor/papers/vonLaszewski siamCmt99pdf [6] Oram, A, ed (2001) Peer-To-Peer, O Reiley [7] Foster, I, Kesselman, C, and Tuecke, S (2002) The Anatomy of the Grid: Enabling Scalable Virtual Organizations International Journal of High Performance Computing Applications, 15(3), 200 222, Fall 2001; http://wwwglobusorg/research/ papers/anatomypdf [8] von Laszewski, G, Foster, I, Gawor, J, Smith, W, and Tuecke, S (2000) CoG Kits: A Bridge Between Commodity Distributed Computing and High-Performance Grids ACM Java Grande 2000 Conference, San Francisco, CA, June 3-5 , pp 97 106; http://wwwmcsanlgov/ gregor/papers/vonLaszewski cog- nalpdf [9] von Laszewski, G, Amin, K, Hategan, M, and Zaluzec, N J (2004) GridAnt: A Client-Controllable Grid Work ow System.

Figure 8.22. Object, image, principal and focal planes, focal lengths, and object and image distances in a thick lens.

37th Hawai i International Conference on System Science, Island of Hawaii, Big Island, January 5-8; http://wwwmcsanlgov/ gregor/papers/vonLaszewski gridant-hicspdf [10] von Laszewski, G (1999) A Loosely Coupled Metacomputer: Cooperating Job Submissions Across Multiple Supercomputing Sites Concurrency, Experience, and Practice, 11(5), 933 948; http://wwwmcsanlgov/ gregor/papers/vonLaszewski CooperatingJobsps [11] Unicore, Web Page, http://wwwunicorede/ Accessed 4/22/2004 [12] Grimshaw, A S and Wulf, W A (1997) The Legion Vision of a Worldwide Virtual Computer Communications of the ACM, 40(1), 39 45; http://legion virginiaedu/copy-cacmhtml [13] Condor: High Throughput Computing, Web Page, http://wwwcswiscedu/condor/ Accessed 4/22/2004 [14] The Global Grid Forum Web Page, Web Page, http://wwwgridforumorg Accessed 4/22/2004 [15] Portable Batch System, Web Page, Veridian Systems, http://wwwopenpbsorg/ Accessed 4/22/2004..

Before getting into the details of the GPS signal, observation models, and position computations, we rst provide more information on the Space Segment and the Control Segment Orbit Design The satellite constellation is designed to have at least four satellites in view anywhere, anytime, to a user on the ground For this purpose, there are nominally 24 GPS satellites distributed in six orbital planes So that we may discuss the orbit design and the implications of that design, we must digress brie y to explain the geometry of the GPS constellation According to Kepler s laws of orbital motion, each orbit takes the approximate shape of an ellipse, with the Earth s centre of mass at the focus of the ellipse For a GPS orbit, the eccentricity of the ellipse is so small (002) that it is almost circular.

// Establish an initial jndi context Context ctx = new InitialContext(); // Look up a queue connection factory qcf = (QueueConnectionFactory) ctx.lookup("ConnectionFactory");

(6.1)

2

The semi-major axis (largest radius) of the ellipse is approximately 26,600 km, or approximately four Earth radii The six orbital planes rise over the equator at an inclination angle of 55 The point at which they rise from the Southern to Northern Hemisphere across the equator is called the Right Ascension of the ascending node Since the orbital planes are evenly distributed, the angle between the six ascending nodes is 60 Each orbital plane nominally contains four satellites, which are generally not spaced evenly around the ellipse Therefore, the angle of the satellite within its own orbital plane, the true anomaly , is only approximately spaced by 90 The true anomaly is measured from the point of closest approach to the Earth (the perigee).