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combine temperature and location as an input to a classical clustering algorithm based on a Euclidean distance measure To address some of these problems, the K-SCM (K-Symbol String Clustering Map), an unsupervised clustering algorithm for symbol strings, has been introduced [35,36] The functional concept of the K-SCM is quite similar to that of the well known K-Means algorithm [70] The internal structure consists of a set of nodes For each node there is a symbol string and a weight vector Each weight of the weight vector is associated with a symbol from the symbol string At any given time, the K-SCM processes an input symbol string The best matching node for the input is identi ed and the node is updated such that it better matches the input sample The matching and learning phases are described in more detail in [35].

1. IEEE 802.16a-2003, Local and metropolitan area networks Part 16, IEEE, New York, 2003. 2. R. Bruno, M. Conti, and E. Gregori, Mesh networks: Commodity multihop ad hoc networks, IEEE Commun. Mag. 43(3), 123 131 (2005). 3. H. W. Kuhn, The Hungarian method for the assignment problem, Naval Res. Logist. Q. 2, 83 97 (1955). 4. D. Niyato and E. Hossain, Adaptive fair subcarrier/rate allocation in multirate OFDMA networks: Radio link level queuing performance analysis, IEEE Trans. Vehic. Technol. 55(6), 1897 1907 (2006). 5. I. F. Akyildiz and X. Wang, A survey on wireless mesh networks, IEEE Commun. Mag. 43(9), S23 S30 (2005). 6. R. Pabst, B. H. Walke, D. C. Schultz, P. Herhold, H. Yanikomeroglu, S. Mukherjee, H. Viswanathan, M. Lott, W. Zirwas, M. Dohler, H. Aghvami, D. D. Falconer, and G. P. Fettweis, Relay-based deployment concepts for wireless and mobile broadband radio, IEEE Commun. Mag. 42(9), 80 89 (2004). 7. J. Boyer, D. D. Falconer, and H. Yanikomeroglu, Multihop diversity in wireless relaying channels, IEEE Trans. Commun. 52(10), 1820 1830 (2004). 8. A. Acharya, A. Misra, and S. Bansal, Design and analysis of a cooperative medium access scheme for wireless mesh networks, paper presented at IEEE BroadNets 04, 25 29 October 2004, pp. 621 631. 9. K.-D. Lee and V. C. M. Leung, Fair allocation of subcarrier and power in an OFDMA wireless mesh network, IEEE J. Sel. Areas Commun. 24(11), 2051 2060 (2006). 10. G. Li and H. Liu, Resource allocation for OFDMA relay networks with fairness constraints, IEEE J. Sel. Areas Commun. 24(11), 2061 2069 (2006).

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Figure 17.9 The signal overlapping problem corresponding to the scenario in Figure 17.8(b).

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The result of this learning is each node representing a cluster in the symbol string data in much the same way as in the K-means algorithm As the K-SCM is an unsupervised clustering algorithm, one has a means of carrying out a personalised form of context awareness that requires no user interaction The learned contexts are entirely speci c to the user and the history of the user However, because of the unsupervised nature of the learning, there is no indication beforehand what the learned contexts will be In the following, a very simple learning mechanism is described, which associates each of the learned contexts with different user requirements in that context This mechanism allows the learned contexts to be exploited in a way that requires no user interaction 432.

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There may be biological, psychosocial, or moral implications that have not yet been adequately conceptualized Not only do new technologies increase the need for public understanding and debate, they require medical scientists and health professionals to be completely open and honest about the bene ts, risks, and possible sequelae of treatments and procedures Communication, counseling, and informed consent are becoming increasingly vital elements of health care (Marteau & Richards, 1996) However, it is recognized that providing people with genetic information on risk may not increase their motivation to change behavior and in some cases may even decrease their motivation (Marteau & Lerman, 2001) In these areas, psychologists should play a major role The Aging Population Demographic data show that the Western population is aging.

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