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[Ellis77] Ellis, C., A Robust Algorithm for Updating Duplicate Databases, in Proceedings of the 2nd Berkeley Workshop on Distributed Data Management and Computer Networks, pp. 146 158, 1977. [Gifford79] Gifford, D., Weighted Voting for Replicated Data, in Proceedings of the 7th Symposium on Operating Systems Principles, Paci c Grove, CA, ACM, New York, 1979, pp. 150 162. [Nutt72] Nutt, G., Evaluation Nets for Computer Analysis, in Proceedings of FICC , 1972, and also Ph.D. thesis, University of Washington, 1972. [Petri62] Petri, C., Kommunikation Mit Automation, Ph.D. thesis, University of Bonn, 1962. [Rahimi79] Rahimi, S., and Franta, W., The Effects of Topological, Replication, and Loading Factors on Concurrent Update Algorithm Performance: A Case Study, University of Minnesota, Computer Sciences Department Tech Report, 79-25, November 1979. [Rahimi80] Rahimi, S., A Posted Update Approach to Concurrency Control in Distributed Database Systems, Ph.D. thesis, University of Minnesota, 1980. [Thomas79] Thomas, R., A Majority Consensus Approach to Concurrency Control for Multiple Copy Databases, ACM Transactions on Database Systems, Vol. 4, No. 2, pp 180 209, June 1979.

Condensed from the mechanism presented by Brandt and van Eldik [17] and Warneck and Ziajka [89]. (1) Formation of Fe(III) sulphito complex. (2) Redox decomposition (rate-determining step). (3) In the presence of O2 , the redox cycle is controlled by the formation of SO radical. 5 (4, 5) SO may oxidise either sulphite ion or the reduced metal ion (6). 5 (7, 8) Oxidation of the reduced metal ion by HSO and by SO . 5 4 (9, 10, 11) Product formation.

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There are two types of splice now available, the mechanical splice and the fusion splice. With a mechanical splice an optical matching substance is used to reduce splicing losses. The matching substance must have a refractive index close to the index of the ber core. A cement with similar properties is also used, serving the dual purpose of refractive index matching and ber bonding. The fusion splice, also called a hot splice, is where the bers are fused together. The bers to be spliced are butted together and heated with a ame or electric arc until softening and fusion occur. Splices require special splicing equipment and trained technicians. Thus it can be seen that splices are generally hard to handle in a eld environment such as a cable manhole. Connectors are much more amenable to eld connecting. However, connectors are lossier and can be expensive. Repeated mating of a connector may also be a problem, particularly if dirt or dust deposits occur in the area where the ber mating takes place. However, it should be pointed out that splicing equipment is becoming more economic, more foolproof, and more user-friendly. Technician training is also becoming less of a burden. Connectors are nearly universally used at the source and at the detector to connect the main ber to these units. This makes easier change-out of the detector and source when they fail or have degraded operation.

t values MI+ 5.01 6.00 5.64 4.07 4.05 3.15 4.65 Mean Subst 5.10 5.24 4.89 2.38 2.95 2.19 3.79 6.14 CC 4.34 2.92 2.79 2.26 3.05 2.41 2.96 22.9 MI 4.64 5.71 4.97 2.43 3.08 1.47 3.72 7.12 Amos 4.93 5.14 4.64 2.36 3.52 1.56 3.69 7.48

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Figure 18.3 An interval routing scheme for a tree with 9 vertices. The intervals are taken mod 9. For example, interval [7, 4] consists of the elements {7, 8, 0, 1, 2, 3, 4}.

Binary symmetric channel: C = 1 H (p). Binary erasure channel: C = 1 . Symmetric channel: C = log |Y| H (row of transition matrix).

Map table maintained by server (adapted from Ref. 11).

Merging of fuzzy sets is based on similarity measures [20, 21]. This approach has been adopted because of its simplicity for online learning. A similarity measure S, for this purpose, must satisfy the following conditions: Nonoverlapping fuzzy sets must have S 0: S A; B 0 , mA x mB x 0; 8x 2 X Overlapping fuzzy sets must have S > 0: S A; B > 0 , 9x 2 X; mA x mB x 0 Only equal fuzzy sets can have S 1: S A; B 1 , mA x mB x ; 8x 2 X 6:7 6:6 6:5

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