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Automatic congestion level, ISDN User Part (ISUP), 287 Automatic number identi cation (ANI), Bell System multifrequency supervision signaling, 89 90 Automatic Repeat Request (ARQ) sublayer, cdma2000 air interface, 428 Automatic rerouting destinations and digit analysis, 17 Telephone User Part (TUP) protocol, 216 Autonomous registration, cellular mobile networks, 354 355 Auxiliary Transmit Diversity Pilot Channel (F-ATDPICH), cdma2000 air interface, 414 415, 418 Backbone network Bearer Independent Call-Control Protocols, 708 709 internet, 635 636 Backhauling, Signaling Transport (SIGTRAN) Protocol, 698 699 Backward call indicators parameter, ISDN User Part (ISUP), 287 288 international networks, 320 Backward indicator bits, Message Transfer Part 2 (MTP2) outgoing processing, 173 Backward sequence number, Message Transfer Part 2 (MTP2) outgoing processing, 173 Backward signal Bell System multifrequency signaling, 81 82 channel-associated interexchange signaling, outgoing signals, 79 intraexchange call, 56 MRC-R2 digital trunk supervision signaling, 94 95 MRC-R2 interregister signaling, 96 97 supervision signals, 57 Telephone User Part (TUP) protocol, unsuccessful backward signals, 210 211 setup problems, 215 216 tones and announcements, 57 Band elimination lter (BEF), Bell System multifrequency supervision signaling blocking received tones, 84 talk-off protection, 85 Bandwidth ef ciency, Voice over Internet Protocol and, 652 653 Base station (BS) cellular mobile networks, 328 signaling systems, 46 47 IS-95 standard air interface, 399 400 Base Station System Application Part (BSSAP), GSM cellular system, A interface, 369
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In this example, Wipe was clicked.
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Sometimes you may need to make a cut that is more complex than what a simple extrude can do. For example, the cut may need to have shape in multiple directions. You could make the cut with multiple cut features, or even with a surface. Figure 27.16 shows a part that is cut with a surface. When cutting with a surface, the edges of the surface must be outside of the body that is being cut. With sketches, it is advisable to have more sketch than you need so that you are not trying to cut line-on-line. The same applies to cutting with a surface, where it is advisable to have more surface than you need to make the cut.
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The gate overlap capacitance technique also offers a method of measuring and differentiating between interface states and oxide charge. 72 This method involves applying an ac signal to the drain of a transistor, and measuring the gate-to-drain capacitance as a function of gate voltage bias. In sweeping the gate bias, the capacitance goes from the overlap plus the outer fringing capacitance at Vg < Vt, to C = 0.5 Cgate plus the overlap and the outer fringing capacitance. The extension of the junction edge varies according to whether positive or negative charge is trapped in this region, and this can be obtained from Cgd. * Hole trapping decreases Vt, and results in a larger overlap capacitance. Trapping negative charge depletes the edge of the junction, resulting in a decrease of the amount of channel that is effectively in inversion. t Interface states also have a unique signature, stretching out the transition from accumulation to inversion, in a manner analogous to the stretchout effect due to interface states seen in MOS capacitors. 6.5.5 DCIV Method
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Item numbers for components listed in the BOM can start at a specific number and be given a particular interval. The Do Not Change Item Numbers option means that even when rows are reordered, item numbers stay with their original components. The Follow Assembly Order option, which is also available through the right-mouse button menu, means that the order of the components in the BOM follows the order of the components in the Assembly FeatureManager. If the order is changed in the assembly, it also updates in the drawing.
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33 Battery: The removable battery, shown in Figure 2-3, is shipped detached from the phone and will need to be inserted before the phone can be used.
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any business questions can be answered directly by querying a database, such as What is the most popular page on our website or Who are our top customers Other, often more important, questions require deeper exploration for example, the most popular paths through the website or common characteristics of top customers. Data mining provides the tools to answer such non-obvious questions. The term data mining has experienced a great deal of misuse. One of my favorite anecdotes is about a marketing person who intended to mine data in a spreadsheet by staring at it until inspiration struck. In this book, data mining is not something performed by intuition, direct query, or simple statistics. Instead, it is the algorithmic discovery of non-obvious information from large quantities of data. Analysis Services implements algorithms to extract information addressing several categories of questions: Segmentation: Groups items with similar characteristics. For example, develop profiles of top customers or spot suspect values on a data entry page. Classification: Places items into categories. For example, determine which customers will respond to a marketing campaign or which e-mails are likely spam. Association: Sometimes called market basket analysis, this determines which items tend to occur together. For example, which web pages are normally viewed together on the site or Customers who bought this book also bought... . Estimation: Estimates a value. For example, estimate revenue from a customer or the life span of a piece of equipment. Forecasting: Predicts what a time series will look like in the future. For example, when will we run out of disk space or what revenue do we expect in the upcoming quarter Sequence Analysis: Determines what items tend to occur together in a specific order. For example, what are the most common paths through our website Or in what order are products normally purchased These categories are helpful in thinking about what data mining can be used for, but with increased comfort level and experience many other applications are possible.
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FIGURE 3.28
The idea that there is no such thing as a completely secure software system is the guiding principle of hackers, whether they are white hat hackers who are involved in software security for the sake of helping software providers improve software from a standpoint of respect for the law and ethics guidelines or black hat hackers who find no problem with exercising their trade outside of the rules of ethics and legal restraints. Many of the software flaws that have been fixed in WordPress over the years are may be directly attributed to hackers who have provided details of their research to the WordPress core developers. Throughout the WordPress core, you will find data sanitization, SQL injection prevention, and more. These principles should be applied whenever a plugin or code is supplied to WordPress. Because WordPress offers vast extensibility options via hooks and APIs, plugin and theme developers run the risk of introducing massive security problems to the WordPress environment that are not caused by WordPress itself. For instance, any time a plugin provides functionality that includes a form, the developer runs the risk of malicious user input (never, ever trust user input) if that data is then not processed in a way that makes it safe for the rest of the system. This process is called sanitization, as it sanitizes the data for use in a safe manner. This, of course, is just one example. Other potential problems involve inadvertently introducing unsafe SQL queries or, a classic userfacing problem, having files with permissions set that would allow an unauthorized user to modify the file, thus modifying the behavior of the file.
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T I P Test your start/stop scripts by manually invoking them (as root) sometime when no one s work will be disrupted.
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