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10 X Liu, Q Dai, and Q Wu, An improved resource reservation algorithm for IEEE 802153, paper presented at the IEEE ICME 06, Toronto, Canada, July 2006, pp 589 592 11 R Zeng and G S Kuo, A novel scheduling scheme and MAC enhancements for IEEE 802153 high-rate WPAN, paper presented at the IEEE WCNC 05, Vol 4, New Orleans, LA, Mar 2005, pp 2478 2483 12 S H Rhee, K Chung, Y Kim, W Yoon, and K S Chang, An application-aware MAC scheme for IEEE 802153 high-rate WPAN, paper presented at the IEEE WCNC 04, Vol 2, Atlanta, GA, Mar 2004, pp 1018 1023 13 B-S Kim, Y Fang, and T F Wong, Rate-adaptive MAC protocol in high-rate personal area networks, paper presented at the IEEE WCNC 04, Vol 3, Atlanta, GA, Mar 2004, pp 1394 1399 14 D Tarchi, R.

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Fantacci, and G Izzo, Multimedia traf c management in IEEE 802153a wireless personal area networks, paper presented at the IEEE ICC 06, Vol 9, Istanbul, Turkey, June 2006, pp 3941 3946 15 M Wang and, G S Kuo, Dynamic MAC scheduling scheme for MPEG-4 based multimedia services in 802153 high-rate networks, paper presented at the IEEE VTC 05-Fall, Vol 3, Dallas, TX, Sept 2005 pp 1559 1563 16 L Vajda, A Torok, K-J Youn, and S-D June, Hierarchical superframe formation in 802153 networks, paper presented at the IEEE ICC 04, Vol7, Paris, France, June 2004, pp 4017 4022 17 Y H Tseng, E H-K Wu, and G-H Chen, Maximum traf c scheduling and capacity analysis for IEEE 802153 high data rate MAC protocol, paper presented at the IEEE VTC 03-Fall, Vol 3, Orlando, FL, Oct 2003, pp.

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1678 1682 18 K-H Liu, L Cai, and X Shen, Performance enhancement of medium access control for UWB WPAN, paper presented at the IEEE Globecom 06, San Francisco, CA, Dec 2006 19 S B Kodeswaran and A Joshi, Using location information for scheduling in 802153 MAC, paper presented at the IEEE Broadnets 05, Vol 1, Boston, MA, Oct 2005, pp 668 675 20 X Shen, W Zhuang, H Jiang, and J Cai, Medium access control in ultra-wideband wireless networks, IEEE TransVehic Technol 54, 1663 1677 (2005) 21 A Rangnekar and K M Sivalingam, Multiple channel scheduling in UWB based IEEE 802153 networks, paper presented at the IEEE Broadnets 04, San Jose, CA, Oct 2004, pp 406 415 22 J E Kim, YA Jeon, S Lee, and S S Choi, ECAP: An enhancement of the IEEE 80215.

3 MAC via novel scheduling scheme, paper presented at the IEEE VTC 06Spring, Vol 3, Melbourne, Australia, May 2006, pp 1313 1317 23 E Kwon, D Hwang, and J Lim, An idle timeslot reuse scheme for IEEE 802153 high-rate wireless personal area networks, paper presented at the IEEE VTC 05Fall, Vol 2, Dallas, TX, Sept 2005, pp 715 719 24 K W Chin and D Lowe, A novel IEEE 802153 CTA sharing protocol for supporting VBR streams, paper presented at the IEEE ICCCN 05, San Diego, CA, Oct 2005, pp 107 112..

dimensions For example, anxiety re ects of blend of High Arousal and Displeasure, whereas joy re ects a blend of High Arousal and Pleasure Watson and Tellegen (1985) proposed that the basic dimensions of mood could be labeled Negative Affect (NA) and Positive Affect (PA) Similarly, discrete emotions were suggested to emerge from variation in blends of NA and PA For example, sadness re ects a blend of high NA and low PA, while surprise re ects a blend of high NA and high PA Over the last 20 years, debates among affect researchers have led to the recognition that these two circumplex models, as well as other more recent two-dimensional formulations (Larsen & Diener, 1992; Thayer, 1996), generally converge in terms of the content of circular affect space but often differ in terms of the identi ed fundamental dimensions or axes underlying the circular models.

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