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Having identified all of the uncertainties and, therefore, being aware of what can happen, we must now assess the risks associated therewith; which is to say we must determine the likelihood or probability of each of the possible outcomes actually occurring.

APPENDIX C:

71332 OnTheMove The project aimed at the development of a standardised mobile application program interface (Mobile API) to facilitate and promote the development of a wide spectrum of mobile multimedia applications An architecture, the Mobile Applications Support Environment (MASE), to support both mobile-aware and legacy (ie non-mobile-aware) applications was developed Some of the project challenges included adaptation to varying quality of service, robustness in the face of disconnected links, roaming between different operators and network types, recon gurable real-time multi-party connections, exible coding, personalised information ltering, and support for heterogeneous user equipment A sequence of eld trials and demonstrations of an interactive mobile business system offering time critical nancial information services to business users were carried out, in order to capture user requirements, to validate results on the interface speci cation and to develop inputs to standardisation bodies 7133.

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3 FRAMES This project comprised two technical objectives namely UMTS system speci cation and demonstration System speci cation included requirements and synthesis, by means of liaison with the GSM MoU group (and later with the anticipated UMTS MoU group) The project de ned a number of hybrid multiple access based adaptive air interfaces (which were the basis for the ETSI decision on UTRA in January 1998), the radio network functions and their implications upon the access networks The project developed an implementation platform which was capable of validating the feasibility of the UMTS system de nition, capable of supporting and substantiating the technical speci cation towards third generation of mobile communication as a basis for UMTS de nition, validation as well as standardisation Validation tests of the UMTS air interface using the demonstrator and demonstrations of the selected applications were carried out and lead to contributions to standardisation bodies 7.

m j =1 fT (t| 0j , 1j )

extract a cluster C from the set of clusters; k = 0; for i = 1 to nt do let C0i , C1i be the two clusters obtained from C by bisecting C using standard k-means (k = 2); if (i = 1) then s = sse({C0i , C1i }); if (sse({C0i , C1i }) s) then k = i; s = sse({C0i , C1i }); endif; endfor; add C0k , C1k to set of clusters; endwhile } The cluster C that is bisected may be the largest cluster, or the cluster having the largest sse. Evaluate the time performance of bisecting k-means compared with the standard k-means and with some variant of a hierarchical clustering. 15. One of the issues that the k-means algorithm must confront is that the number of clusters k must be provided as an input parameter. Using clustering validity design an algorithm that identi es local maxima of validity (as a function of k) to provide a basis for a good choice of k. For a solution that applies to image segmentation, see the work by Ray and Turi.

1334 STORMS The objective of this project was to de ne, implement and validate a software tool to be used in the phases of designing and planning of the UMTS network The set of reference environments considered, ranged from indoor coverage (picocells) to regional coverage as supplied by satellite systems integrated with the terrestrial cellular structure The set of spatial traf c distributions and traf c intensities ranged from typical of ce/business to residential in rural and low-density areas The work also involved a comprehensive de nition of the categories of UMTS environments with the corresponding identi cation of the most appropriate propagation models, so that the environment and radio channel model were logically mapped The combined electromagnetic and traf c description was the starting point of the dimensioning process for the cellular structure which also took into account those system features (eg.

handover strategies, macrodiversity) that imply a particular usage of radio and network resources..

In 3, I introduced an organic approach to discovering your priorities, goals, and purpose and set it against a view of work as machine-like. These two metaphors work well in different situations. Treating your work as a machine helps when you are fairly certain of what you want to do and you know how to do it. It s just a matter of creating a plan, gathering resources (fuel for the machine), and making step-by-step progress toward your goal. I

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