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These protocols together guide sites through a set of steps to deal with failures The termination protocol is intended to terminate a transaction when one or more sites fail This protocol is invoked by all operational sites after a failure of a site is detected The termination protocol tries to commit or abort the transaction after a failure as soon as possible to release data resources locked by the sites involved in the transaction The recovery protocol is run by the sites that have failed after they are repaired A failed site is not involved in the decision that is made about termination of the transaction and, therefore, it must terminate the transaction exactly as others have We assume the inclusion of a timeout mechanism that allows the coordinator to detect the failures of the slaves and the slaves to detect the coordinator s failure.

However, doing language-independent textual transformations is much harder Finally, sometimes it is necessary to convert text into speech using a speech synthesizer, for example, because the receiving terminal lacks a display, the user is visually impaired, or the usage situation is such that the user cannot look on the display (eg, while driving) 7212 Audiovisual Content This category comprises any modality of audio or visual information including speech, audio, music, images, video, and graphic They contribute to provide rich user experience Although they are usually binary encoded (compressed), their le size tends to be large compared to text or layout information This may be a problem for storage and also for transmission We need to make a distinction between scalable and nonscalable audiovisual content since they have an impact on the adaptation strategy and performance.

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With the preceding template code, if you create a new entry and tag it with hacking and MovableType in the Keywords field, the following will be output:

All transitions in the 2PC require writing the log and sending one or more messages We assume that a site writes the log, submits the messages to the message.

Throughout this chapter, we will use images as content examples since they are easier to demonstrate in a book (unlike speech, audio, or video) But the concepts usually apply to the other media contents as well Nonscalable Audiovisual Content Nonscalable content provides only one representation of the content once decoded For an image, the resolution and the quality would be xed For audio, the sampling frequency and the quality are xed The encoded version doesn t allow obtaining a different version of the content Speech can be compressed using many nonscalable speech compression schemes The most popular formats include AMR [1], EVRC, 13K (QCELP), GSM, EFRC, G729, G7231, and PCM u-law and A-law (actually PCM u-law and A-law are not speech codecs per se but are used in telephony) The speech is typically sampled at 8kHz and the bit rate typically varies from 4.

11.1.3 Digital Rights Management 11.1.3.1 Overview Digital rights management (DRM) is the digital management of user rights to content. It entails linking speci c user privileges to media in order to control viewing, duplication, access and distribution, among other operations. Ideally, the goal of a DRM system is to balance information protection, usability, and cost to provide a bene cial environment for all parties in an information commerce transaction; this includes expanded functionality, cost-effectiveness, and new marketing opportunities. Overall, management is achieved through the effective interaction of business models, legal policy and technology. It is the con icting characteristics and rapidly changing environments in each of these spaces that makes DRM a challenging and interesting problem.

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75 to 64 kbps (most formats used in the mobile environment being in the range of 72 13 kbps) The highperformance speech codecs typically use technologies modeling the human speech production They mathematically model the human vocal tract (throat, tongue, nose, and mouth) and the process of pushing air into it to generate speech Since the model is designed for human speech, high compression of speech can be achieved while maintaining good intelligibility However music encoded with a speech codec.

= (0.175)(0.375)(0.425)(0.25)(0.45)(0.35) 0.001098 Likewise, the probability of a negative classi cation is derived using a similar approach: p(mor e = 0, much = 0, after = 0, CLASS = neg) 7.5 8.5 1.5 3.5 5.5 3.5 = 20 20 20 10 10 10 = (0.175)(0.375)(0.425)(0.15)(0.35)(0.55) 0.000805 Our last step is to normalize the probabilities as follows: p( pos) = 0.001098 0.57698 0.001098 + 0.000805 0.000805 p(neg) = 0.42302 0.001098 + 0.000805

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