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Each of the following is a large project, which can be a semester-long project done by a group of students The dif culty of the project can be adjusted easily by adding or deleting features Project 211 Consider the E-R schema of Exercise 27 ( 2), which represents information about teams in a league Design and implement a Web-based system to enter, update, and view the data Project 212 Design and implement a shopping cart system that lets shoppers collect items into a shopping cart (you can decide what information is to be supplied for each item) and purchased together You can extend and use the E-R schema of Exercise 212 of 2 You should check for availability of the item and deal with nonavailable items as you feel appropriate Project 213 Design and implement a Web-based system to record student registration and grade information for courses at a university Project 214 Design and implement a system that permits recording of course performance information speci cally, the marks given to each student in each assignment or exam of a course, and computation of a (weighted) sum of marks to get the total course marks The number of assignments/exams should not



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The Presentation Server policies evaluated at login and reconnect include a special policy rule called Session Printers, which can be used to add and delete network printer connections on behalf of the login user based on various policy criteria Normally, these network printer connections are added during logins/reconnects, and then deleted during logout The two flags listed previously are fail-safes that allow the administrator to temporarily disable all printer connection additions and deletions all at once, without having to disable many different policies Of course, this is mostly useful in certain troubleshooting scenarios That said, turning off only the disconnection of network printers can improve server scalability at the expense of allowing printer connections made by the Session Printers policy rule to accumulate in user profiles

The McGraw Hill Companies, 2001





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The fundamental measure of performance or quality in digital systems is the probability of a transmitted bit being received in error With the latest equipment, the probabilities of this occurrence are very low, on the order of 10 12 or less It is still necessary to measure the performance of these systems, however, and in particular to analyze the available margins of safety, and to explore potential weaknesses that later could lead to degraded performance

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The permissions for the MMF file are Administrators Full Control System Account Full Control The user Full Control

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In-service error performance measurements rely on checking known bit patterns in an otherwise random data stream of live traffic As discussed in 27, some inservice measurements are more representative than others of the actual error performance of the traffic signal Furthermore, some are applicable to the path measurement, provided the parameters are not reset at an intermediate network node Others are only useful at the line or section level The most commonly used error detection codes (EDCs) are frame word errors, parity errors, or cyclic redundancy checksum errors Out-of-service measurements involve removing live traffic from the link and replacing it with a known test signal, usually a pseudorandom binary sequence (PRBS) These tests are disruptive if applied to working networks, but are ideal for installation and commissioning tests because they give precise performance measurement Every bit is checked for error Although the PRBS appears random to the digital system, the error detector (Figure 52) knows exactly what it should receive and so detects every error The error detector calculates the probability of error as the bit error ratio (BER) BER is defined as the number of errors counted in the measurement period, divided by the total number of bits received in the measurement period Thus the bit errors or error events can be detected by out-of-service or in-service techniques These are sometimes referred to as the performance primitives To be useful for assessing quality of service (QoS), however, they must be analyzed statistically as a function of time according to the various error performance standards specified in Table 52 This analysis yields percentages for the availability of a digital communication link, and the portion of time that it exceeds certain performance criteria that are acceptable to the customer One of the most important standards is the ITU-T Recommendation M2100/2110 56 Protocol Analysis in the Telecommunications Network Up to this point we have discussed the capability of the telecom network to transmit digital bits or analog signals over a path without errors or quality degradation Testing BER, for example, assumes that the traffic carried by the network is completely random data, or at least that the payload within a frame structure is random This apparently random traffic signal will, in fact, always have a structure It might be a PCM voice signal, a data signal, a signaling message for controlling network switching, or possibly an ISDN signal or an ATM cell data stream for broadband services When telecom networks were predominantly carrying voice traffic using in-band signaling, there was little interest in checking the information content of the traffic.

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simonbengtsson/ jsPDF - AutoTable - GitHub
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