A distributed map animation framework for spatiotemporal datasets

A distributed map animation framework for spatiotemporal datasets

Maps are an excellent way to present data that have spatial components. However, when the data being presented vary over time, a simple two-dimensional map ignores an important feature of the data. An animated map that shows a series of two-dimensional maps at successive points in time allows one to add a time dimension to the display of data. The current study proposes a distributed service-oriented architecture to create map animations from spatiotemporal datasets. We extend the open standards GIS web services definitions with a topic-based publish-subscribe paradigm, which best suits the animation requirements. The effectiveness of the technique is demonstrated in an exploratory data analysis of Turkey s earthquake seismic data records at the end of the paper.

___

  • [1] Krishnan R. Switched Reluctance Motor Drives: Modeling, Simulation, Analysis, Design, and Applications. Boca Raton, FL, USA: CRC Press, 2001.
  • [2] Sahin C, Amac AE, Karacor M, Emadi A. Reducing torque ripple of switched reluctance machines by relocation of rotor moulding clinches. IET Electr Power App 2012; 6: 753–760.
  • [3] Wong KF, Cheng KWE, Ho SL. On-line instantaneous torque control of a switched reluctance motor based on co-energy control. IET Electr Power App 2009; 3: 254–264.
  • [4] Daryabeigi E, Emanian A, Namazi MM, Rashidi A, Saghaian-Nejad SM. Torque ripple reduction of switched reluctance motor (SRM) drives, with emotional controller (BELBIC). In: Twenty-Seventh Annual IEEE Applied Power Electronics Conference and Exposition (APEC); 5–9 Feb 2012; Orlando, FL, USA. New York, NY, USA: IEEE. pp. 1528–1535.
  • [5] Isfahani MMN, Saghaian-Nejad SM, Rashidi A, Zarchi HA. Passivity-based adaptive sliding Mode speed control of switched reluctance motor drive considering torque ripple reduction. In: IEEE International Electric Machines & Drives Conference (IEMDC); 15–18 May 2011; Niagara Falls, Canada. New York, NY, USA: IEEE. pp. 1480–1485.
  • [6] Gribble JJ, Kjaer PC, Miller TJE. Optimal commutation in average torque control of switched reluctance motors. In: IEE Proceedings Electric Power Applications; Jan 1999. Stevenage, UK: IET. pp. 2–10.
  • [7] Sozer Y, Torrey DA, Mese E. Automatic control of excitation parameters for switched-reluctance motor drives. IEEE T Power Electr 2003; 18: 594–603.
  • [8] Sozer Y, Torrey DA. Optimal turn-off angle control in the face of automatic turn-on angle control for switchedreluctance motors. IET Electr Power App 2007; 1: 395–401.
  • [9] Husain I. Minimization of torque ripple in SRM drives. IEEE T Ind Electron 2002; 49: 28–39.
  • [10] Rodrigues M, Costa Branco PJ, Suemitsu W. Fuzzy logic torque ripple reduction by turn-off angle compensation for switched reluctance motors. IEEE T Ind Electron 2001; 48: 711–715.
  • [11] Mademlis C, Kioskeridis I. Performance optimization in switched reluctance motor drives with online commutation angle control. IEEE T Energy Conver 2003; 18: 448–457.
  • [12] Kioskeridis I, Mademlis C. Maximum efficiency in single-pulse controlled switched reluctance motor drives. IEEE T Energy Conver 2005; 20: 809–817.
  • [13] Mademlis C, Kioskeridis I. Four-quadrant smooth torque controlled Switched Reluctance Machine drives. In: IEEE Power Electronics Specialists Conference; 5–19 June 2008; Rhodes, Greece. New York, NY, USA: IEEE. pp. 1216–1222.
  • [14] Xue XD, Cheng KWE, Lin JK, Zhang Z, Luk KF, Ng TW, Cheung NC. Optimal control method of motoring operation for SRM drives in electric vehicles. IEEE T Veh Technol 2010; 59: 1191–1204.