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Consequently, for example, a of component codeof BCH (31,26, 3) will yield a turbo block code BCH (36,26), where the additional five parity bits of the second encoder are included the output turbo block code, in while the systematic information bits produced the second encoder are discarded by The other family constituent turbo encoders that can be utilized is Recursive Systematic of Convolutional (RSC) codes, which is shown in Figure 52 Here, the constraint length is set in to K = 3, and the generator polynomials are set octal terms, to7 and 5 [ 1571 Referring to Figure 52, a stream systematic bits, which represents the original information sequence is of generated along with the corresponding parity sequenceIn forming the convolutional-based turbo code, the systematic bits the second convolutional encoder are discarded andtwo of the sets of parity sequences are punctured accordingly.

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These stories are real; these applications exist Well then, what can we do For this there are two words: integration and interaction First, either by using existing integration points or by creating new ones (preferably wrapped within a web service), the legacy application can be made available to the cloud-based applications within the enterprise as they are created Second, those integration points can then be used to allow the newer cloud-based applications to naturally interact with the legacy applications, to include them in the evolving work ow This will ease the introduction of and progressive transition to cloud-based applications As a practical matter this transition is not likely to have a speci c horizon, though a particularly aggressive organization may choose to de ne a particular horizon (timeframe for retirement) for cost, competitive, or other strategic reasons.

for playback speed if necessary. Playback begins with anti-aliasing turned on. If the actual frame rate drops below the specified frame rate, anti-aliasing is turned off to improve playback speed. Use this setting to emulate the View > Antialias setting in Flash.

The remainder of this chapter is organized as follows. Section 22.2 gives the background knowledge. In Section 22.3, the details of our universal authentication and billing architecture are described. Sections 22.4 and 22.5 present discussions on the security and ef ciency of the proposed architecture, respectively. Section 22.7 contains some concluding remarks.

bitCnt += bits2card(13-t, hand[pp], &card); // Write each play... fprintf(overt2Stream, %-5s %s , player[pp], cardFace[(card+dealCnt)%52]); // Determine trick winner... if(card > hiTrick) { hiTrick = card; hiPlayer = pp; } //if card nextStarter += (nextStarter+1)%4; } //for p trickWinner = hiPlayer; // Write trick score... fprintf(overt2Stream, Trick Winner: %s\n , player[trickWinner]); gameScore[trickWinner]++; } //for hand play // Print deal score... fprintf(overt2Stream, \nScoring: for(p=0; p<4; p++) { fprintf(overt2Stream, %s:%d } //for p fprintf(overt2Stream, \n ); dealCnt += 3; } //while return SUCCESS; } //war_creation_encode();

where fi are the basis functions and yi the consequent parameters. These local basis function networks are under certain conditions functionally equivalent to the fuzzy model (6.27) with constant consequent parts: Ri : If x is Ai then y yi ; i 1; 2; . . . ; m: 6:27

The puncturing pattern can be varied in order to produce different code rates The iterative decoding structureof the turbo decoder is shown Figure 53 The compoin nent decoders require soft inputs and produce soft outputs Consequently, special decoding algorithms such as the Maximum A Posteriori (MAP) [ 1621 and the Log-MAP [ 1631 algorithms can be invoked, which were proposed by Bahl and Robertson, respectively These algorithms are highlighted in Appendix A 1 [ 1641 Essentially, the soft output generatedby either decoder determines whether the decoded bit a binary 1 or 0 as well as the reliability is in of the output bit decision Let us now analyse in detail the decoder structure shown Figure 53, where the notations L,1 and La2 represent the so-called a priori information produced : by the first and second decoder, respectively.

In some cases an organization may need to pull data from disparate data sources into a single dashboard. This would demand that the dashboard software has the capability of pulling data from the disparate sources available within the information biosphere of the organization. Sometimes, however, the organization may eliminate the need for this requirement by consolidating disparate data sources into a single database that would serve the dashboard.