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Selfperception theory was a formidable opponent to the dissonance view because it was able to account for many of the results attributed to dissonance mechanisms (Greenwald, 1975) It later became apparent that self-perception was a different phenomenon that functioned in different settings and was not simply an alternative explanation for cognitive dissonance (eg, Beauvois, Bungert, & Mariette, 1995) For instance, in contrast to dissonance processes, self-perception processes appear to operate when one s behavior falls in one s latitude of acceptance and thus elicits little aversive arousal (Fazio et al, 1977) In addition, whereas dissonance reduction has been proposed to require considerable cognitive effort (Festinger, 1957), self-perception processes appear to involve simpler attributional decisions that operate under.

Sahin, Cluster head identi cation in ad hoc sensor networks using particle swarm optimization , in Proceedings of the IEEE International Conference on Personal Wireless Communications, ICPWC 2002, New Delhi, India, December 15 17 2002, pp 201 205 [95] H Chan and A Perrig, Ace: An emergent algorithm for highly uniform cluster formation , in Proceedings of the 1st IEEE European Workshop on Wireless Sensor Networks, EWSN 2004, H Karl, A Willig and A Wolisz, Eds, Berlin, Germany, January 19 21 2004, pp 154 171 [96] S Banerjee and S Khuller, A clustering scheme for hierarchical control in multi-hop wireless networks , in Proceedings of the 20th IEEE Infocom 2001, vol 2, Anchorage, AK, April 22 26 2001, pp 1028 1037 [97] G Gupta and M Younis, Fault tolerant clustering of wireless sensor networks , in Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC 2003), vol.

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3, New Orleans, LA, March 16 20 2003, pp 1579 1584 [98] G Gupta and M Younis, Performance evaluation of load-balanced clustering of wireless sensor networks , in Proceedings of the 10th International Conference on Telecommunications (ICT 2003), vol 2, Papeete, French Polynesia, February 23 March 1 2003, pp 1577 1583 [99] G Jolly, MC Kuscu, P Kokate and M Younis, A low-energy key management protocol for wireless sensor networks , in Proceedings of the 8th IEEE International Symposium on Computers and Communications (ISCC 2003), Kemer-Antalya, Turkey, June 30 July 3 2003, pp 335 340 [100] G Gupta and M Younis, Load-balanced clustering of wireless sensor networks , in Proceedings of the IEEE International Conference on Communications (ICC 2003), vol 3, Anchorage, AK, May 11 15 2003, pp 1848 1852 [101] M Younis, K Akkaya and A.

In cameras and telescopes, the image of a star is likewise always a finite diffraction disk (not a point) with linear radius r 1.22 (f/D), where f/D is called the focal ratio or f-number. Roughly, the diameter of the diffraction spot in m is the focal ratio in millionths of a meter. Thus, the diameter of the diffraction spot in the primary focal plane of the 250 cm diameter, f/5 mirror of the Hubble space telescope is 5 m. In the case of the human eye or photographic camera, the image of a point source on the retina or film has a diameter of about 3 m. In all of these optical systems, the image of a point source corresponds to a diffraction disk, and the terms NA and f/D are measures of the effective

Kunjithapatham, Optimization of task allocation in cluster-based sensor networks , in Proceedings of the 8th IEEE International Symposium on Computers and Communications (ISCC 2003), Kemer-Antalya, Turkey, June 30 July 3 2003, pp 329 334..

Figure 15-6

PURPOSE TYPE NESTED WITHIN START TAG END TAG CONTENT ATTRIBUTES Provides a means for grouping elements and assigning attributes to the group Block

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Grid Networks: Enabling Grids with Advanced Communication Technology Gigi Karmous-Edwards 2006 John Wiley & Sons, Ltd

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