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The distributed prediction tracking (DPT) algorithm is speci cally aimed at addressing the various challenges outlined in Section 14.4 while accurately tracking moving targets. As the name suggests, this algorithm does not require any central control point, eliminating the possibility of a single point of failure and making it robust against random node failures. The tracking task is carried out distributively by sequentially involving the sensors located along the track of the moving target. DPT assumes a cluster-based architecture for the sensor network, and the choice was motivated by the need to ensure the sensor network s scalability and energy ef ciency. Any suitable clustering mechanism from those proposed in the literature

Journal of Counseling and Development, 71, 642 650 Beiderman, J, Faraone, S V, Keenan, K, Bejamin, J, Krifcher, B, Moore, C, et al (1992) Further evidence for family-genetic risk factors in attention deficit hyperactivity disorder: Patterns of comorbidity in probands and relative in psychiatrically and perdiatrically referred samples Archives of General Psychiatry, 49, 728 738 Belar, C D (1995) Collaboration in capitated care: Challenges for psychology Professional Psychology: Research and Practice, 26, 139 146 Belar, C D, Bieliauskas, L A, Larsen, K G, Mensh, I N, Poey, K, & Roehike, H J (1989) The National Conference on Internship Training in Psychology American Psychologist, 44, 60 65 Bell, C J, & Nutt, D J (1998) Serotonin and panic British Journal of Psychiatry, 172, 465 471 Bell, J E (1961) Family group therapy (Public Health Monograph No 64).

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address, depending on how you ve set things up in ~/.mythtv/mysql.txt. If you re not connecting to the host you think you should, that is the file to edit specifically, the DBHostName parameter. Additionally, make sure that you ve configured your database server to permit remote connections, both at the firewall and in the database application. If you re running firewall software on your database server, you must ensure that port 3306 is open for MySQL database access, as well as port 6543 for remote mythbackend access. Remote access to your MySQL database must also be permitted within MySQL itself, per the instructions in the Configuring Remote Frontends section in 15. Once you re sure the database side is all squared away, you ll have to do a bit of navigation within mythfrontend to trigger some additional output that may be necessary, as at this point you ve contacted the database server but not the mythbackend server. The simplest test here is to go into Media Library Watch Recordings, which triggers an attempt to contact your mythbackend server. If all goes well, you should see something like the following:

Washington, DC: US Government Printing Office Bell, P F, Digman, R H, & McKenna, J P (1995) Should psychologists obtain prescription privileges A survey of family physicians Professional Psychology: Research and Practice, 26, 371 376 Bellack, A S, & Herson, M (Eds) (1990) Handbook of comparative treatments for adult disorders New York: Wiley..

understand what is really happening For example, suppose our protocol indicated that every valid conversation must begin with the rst client producing a greeting message ( Hello ) that is then immediately followed by an inquiry message ( How are you ), both produced by the same client, and then followed by an answer message ( Fine, thanks ) produced by the second client instance If this was our applicationde ned protocol, there could be variations within the content, such as other greeting messages ( Good morning, Good afternoon, etc) and other answer messages ( Terri c!, Not so good, etc) However, we would always know that the second client would not produce an answer message until after it had consumed a greeting message followed by an inquiry message, both sent from the same rst client instance.

= max{ f (RW, M) : W clique of G}

If we had considered a different application-de ned protocol (and, in particular, if we had considered a more meaningful and realistic one), we could understand our JMS Client conversation example even more completely Of course, to do this properly, we would need to de ne all the possible variations in message content as well as all the possible variations in conversation structure In order to do this, we would need to de ne a list of all the valid message types and another list of all the possible conversations (all the valid and invalid sequences of message types) Each conversation in this list might represent radically different underlying semantics and expected consequences For example, consider how our DDBE might implement an application-de ned protocol like the two-phase commit protocol or the three-phase commit protocol (which we discussed in Sections 884 and 885 in 8).

Protocols like these are much more representative of the conversations we need to implement in our DDBE; however, they are also very complicated to de ne and understand Luckily, we do not need to worry about complex or meaningful protocols like these in order to understand the issues that are important to this section Therefore, we will use the simplistic examples presented here instead of any real DDBE application-de ned protocols..