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Figure 34-1: An AutoLISP file open in its own window in the Visual LISP window.
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. Measuring QoS KPIs in the network. Various network management systems and their supplements take lots of QoS measurements from the network. It would be practically impossible to measure all parameters for all users at all times, thus a good statistical sampling of users and services would be required in this method as well. . Rating QoE through measured QoS KPIs using some mapping metrics. Mapping of various QoS KPIs onto user perception of performance will need to be made on a spreadsheet, for example. The inputs from hard QoS performance metrics would be fed into that sheet to calculate the QoE based on the identi ed mapping.
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The drawing used in the following exercise on editing text, ab13-b.dwg, is in the Drawings folder on the CD-ROM.
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A mobile operator should only be responsible for failed attempts that are due to network problems such as network congestion. The operator should not be penalised for failures due to, for example, authentication failure or incorrect mobile phone settings. Hence, for every failed attempt, it is worth recording failure reasons. . PDP context session retain ability: the ratio of PDP context activations that are completed successfully using a normal deactivation procedure over the total number of PDP context activations. This is de ned as: S=N 9:41
This example, on the other hand, counts only the number of women in the members table:
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As hinted in Appendix A, early 20th century attempts to account for the stability of an atomic system of elementary particles using Newtonian mechanics ran into logical obstacles: With this modeling of the atom, all of the electrons would spiral into the nucleus giving rise to emission of light. In turn, it would follow that all matter would collapse to a much smaller volume, the volume occupied by the nuclei; clearly, this is obviously not the case in the real world. Other complications also were encountered: Experimental work on electrons supports a perspective that an electron is a particle with a small mass (which we identi ed in 2); furthermore, the trajectory of the electron can be detected in a cloud chamber. But in the early part of the 20th century a number of experiments were undertaken that could be interpreted by classical mechanics only if one assumed that electrons possessed a wave motion; for example, a beam of electrons, when passed through a suitable grating, gives a di raction pattern similar to that obtained in di raction experiments with light. Ultimately, these e orts lead to the formulation of quantum theory. A tenet of quantum theory is that certain quantities (e.g., energy, angular momentum, light) can only exist in de nable discrete amounts, called quanta. The theory is used to describe physical systems that are of atomic dimensions or less. Initially, the theory was developed by Max Planck to explain that radiating bodies emit energy not in a continuous stream but in discrete units (quanta) (the energy being directly proportional to the frequency). Soon the theory was expanded to provide rules with which one can (probabilistically) calculate and predict how matter behaves. Once the system of interest is de ned and the interactions among the particles of the system are described, the quantum theory equations are solved to quantify properties of the system [38]. Let us look at electrons passed through a grating. Based on di raction experiments, in 1923 physicist de Broglie reasoned pragmatically that a relationship should exist between the particle and wave properties for light: If light is a stream of particles, they must possess momentum. At the same time, de Broglie reasoned that if light is a wave, then it possesses a characteristic frequency with wavelength , and he then derived the following relationship that is known by his name:
When you type a line and enter the actual coordinates, such as a line from point 3,2 to 6,9, you are using absolute Cartesian coordinates. Absolute coordinates are measured from 0,0. These coordinates are probably familiar to you from high-school geometry class.
system variables that affect trimming. The Projection setting is used only for 3D models and can trim based on either the current UCS or the current view. The Edge setting is used for implied intersections. When Edge is set to Extend, the command trims to the implied intersection of the cutting edge and the object to be trimmed. At this prompt, pick the object(s) that you want to use as a cutting edge or press Enter to select all objects as edges. Press Enter to end object selection. You can trim to an actual or an implied intersection (an intersection that would exist if objects were extended): If you want to trim to an actual intersection, at the Select object to trim or shiftselect to extend or [Fence/Crossing/Project/Edge/eRase/Undo]:: prompt, select the objects that you want to trim. You can use the Fence option to draw lines that criss-cross the objects that you want to trim. Use the Crossing option to select the objects with a crossing window. Be sure to pick each object between the cutting edge and the end you want to trim off. Press Enter to end object selection. This action trims the object(s). If you want to trim to an implied intersection, at the Select object to trim or shiftselect to extend or [Fence/Crossing/Project/Edge/eRase/Undo]: prompt, type e . The Extend option responds with the Enter an implied edge extension mode [Extend/No extend] <No extend>: prompt. Type e . Then select the objects that you want to trim at the Select object to trim or shift-select to extend or [Fence/Crossing/Project/Edge/eRase/Undo]: prompt. Be sure to pick each object at or near the end that you want to trim. Press Enter to end object selection and trim the object(s). Use the Undo option if the results of the trim are not what you want. You can then continue to select objects to trim. The new eRase option lets you erase an object instead of trimming it, without leaving the TRIM command.
The natural regions approach [28] is a prepartitioning step striving to optimize partitioning input for each expert algorithm. This section de nes the natural regions, discusses the criteria for creating them, and describes the C module Nature (Natural regions), offering ef cient, general, and parameterized algorithms based on the discussed criteria. De nition 18.1 A natural region in the context of structured grid hierarchies is a physically connected region of bounding boxes. They exist in two kinds: homogeneous/unre ned (Hue) and complex/re ned (Core). A Hue covers only parts of the base grid (level 0) where there are no re nements present. A Core is a region with overlaid re ned grids with levels 1 and greater. No natural regions overlap and the union of all natural regions equals the computational domain. Natural regions could be trivially created by cutting all level 1 grids from the base grid. The remaining parts of the base grid constitute the Hue, and the cutout parts would be the Core. However, this approach offers no way of controlling the result in terms of granularity, number of boxes, aspect ratio, and so forth. To produce prepartitions with properties desired for speci c expert algorithms, controlling the result could be vital. For the natural regions to serve their purpose as optimized input to a partitioning tool, we de ne the following (con icting) criteria for creating them: (a) The natural regions should depict and re ect the current state of the grid hierarchy. Being natural
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The basic idea is that the brass fittings are screwed into the threaded holes in the chassis, the board is laid on top, and the screws are passed through holes in the motherboard and screwed into the brass fittings. The first thing to notice is that you probably have more screw holes in the chassis than you have mountings (see Figure 14-3). This is because different boards have holes for screws in different spots, so you re not going to need all of them.
This version creates a To element that includes all of the information about the letter s recipient. The To element contains an Address element that holds the recipient s address information. You could add similar information for the sender.
Figure 18-15: Where do you want to create this network place
for tabbing to select nontext fields. The Tab control in the Form Inspector is for setting the tabs as recognized by HTML 4 browsers that incorporate this capability. According GoLive s Web database, this feature, called tabindex, is Internet Explorer only. When the standard is fully recognized and implemented by browsers, users will be able to tab into fields such as radio buttons and then press Enter/Return to select that choice. Tabbing in the order you specify will also be possible. For now, even though many browsers can t see your tab order (and the older browsers never will, of course), no harm or conflict is caused by setting a custom tab order. In case you re wondering how tabs work in noncompliant browsers: In Netscape 4.6 browsers for the Macintosh, you can tab between text fields, but once you land in a text area you end up tabbing through the text area, jumping about five spaces per tab as if you are in a text document. In many browsers, the Tab key also takes you to the URL entry bar. After it cycles through the URL entry it doesn t always find its way to all of your other text fields again. To set a custom tab order for your form, follow these steps: 1. Select the field that you want to be first in the tab order. 2. In this field s Inspector, press the # button next to the Tab field. Alternatively you can choose Special Start Tabulator Indexing. Little numbered yellow boxes appear on each field that can be tabbed into. The cursor also gains a #. 3. Click each field in the order you wish the tabbing to proceed. As you click each field, the tab box shows its tab number. The same number is also recorded in the tab field in the item s Inspector. This number is the tabindex. 4. After you ve assigned a tab order to all of the fields you want included, press the # button in the Inspector again or choose Special Stop Tabulator Indexing.
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