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The default implementation for hashCode() is to use the System.identityHashcode() method to obtain its hashcode. This method typically returns a hash related to the memory address where the object is allocated. The end effect of using the default implementation of equals() and hashCode() is that two objects are equal only if they are the exact same Java object. For some Java applications, this is adequate; for the PIX system, however, it is a problem. Custom equals() and hashCode() methods are required because objects such as PixUser can be stored to and fetched from a relational database. (The next chapter shows how this is done.) If you compare an instance of PixUser created by means of its constructor against another instance fetched from the database, you want to consider them equal if all their data members have the same value. A PixUser is considered equal by this application to another if he or she has the same e-mail, first name, last name, user name, and password. You do not need them to be the same Java object, and indeed they might not be, so the default equals() and hashCode() are not suitable. In the next Try It Out section, you implement custom identity methods: equals() and hashCode() for the PixUser POJO.

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Type B A network connection with acceptable residual error rate but an unacceptable rate of signal failures. Type C A network RANDOM BONUS DEFINITION connection with an unacceptable residual error promiscuous mode A mode of operation rate for the user of the of a network interface in which it receives (or attempts to receive) all traf c, regardless transport service.

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Table 9.3 Typical reporting requirements Monthly status report The monthly status report will include . . . a project risk report . . . The project risk report will contain summary details of risks from all sources, and will include the following information for every major source of risk identified: description of the risk, its nature and its source; assessment of the risk, its impact, the probability of failure, the consequences of failure, and if previously reported, any changes in these parameters since the previous report; responsibility for risk treatment; and an abstract of the risk treatment plan, which will summarize the salient details of recommended actions, principal decision points and criteria for closure, and will provide a reference to the detailed risk treatment plan for the source of risk in question.

Embed or Extract The embed or extract process time is mainly determined by the correlation of adjacent pixels of each image in an image set in accord with the concept of the LDSERS algorithm. For images with high correlation among adjacent pixels, the process time to embed or extract is short. For a comprehensive performance of the 3-D LDSERS, see Zhou et al. (2003).

This make it possible for the network administrator to collect measurements for consistent service performance monitoring across (E)GPRS network domains, as explained in Section 9.3.1, or for gathering performance metrics according to speci c needs. In practice, only a subset of the above attributes may be required. For example, in the following sections only the precedence class attribute, denoted by p, is used. 9.3.2.2 Integrity monitoring

Action Terminate, returning the window contents Delete character backward Terminate if the window is one line; otherwise, insert newline If line is blank, delete it; otherwise, clear to end of line Refresh screen Cursor down; move down one line Insert a blank line at cursor location Cursor up; move up one line

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