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// Use commas in a for statement to find the largest and // smallest factor of a number. using System; class Comma { static void Main() { int i, j; int smallest, largest; int num; num = 100; smallest = largest = 1; for(i=2, j=num/2; (i <= num/2) & (j >= 2); i++, j--) { if((smallest == 1) & ((num % i) == 0)) smallest = i; if((largest == 1) & ((num % j) == 0)) largest = j; } Console.WriteLine("Largest factor: " + largest); Console.WriteLine("Smallest factor: " + smallest); } }
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int i; float f; i = 10; f = i; // assign an int to a float
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LEDs produce light with a wide spectral width; when used in FO communications systems, they can be modulated at frequencies up to 100 MHz. LEDs have the advantages of low temperature sensitivity and no sensitivity to back reflections. Furthermore, LEDs produce incoherent light output that is not sensitive to optical interference from reflections. LEDs generate light by spontaneous emission. This occurs when an electron in a high-energy conduction band changes to a low-energy valence band, as shown in Figure 22.6. The energy lost by the electron, the bandgap energy, Eg, is released as a photon, the entity of light. The released photon s energy is equal to the energy lost by the electron, and the wavelength of the emitted photon is a function of its energy. Because different materials have different orbital states that determine the energy levels of the various electrons, the wavelength of the emitted photon is determined by the material used to make the LED. The wavelength of the emitted photon is given by: = where: h is Planck s constant, 6.62 10 34 Ws2 c is the speed of light, 2.998 108 mps Eg is the material bandgap in joules For a semiconductor material with Eg = 0.9 eV, the wavelength of the emitted photons will be about 1.38 m. The most commonly used materials for LEDs are gallium arsenide (GaAs) with Eg = 1.42 eV and gallium phosphide (GaP) with Eg = 2.24 eV. By adding other materials to the GaAs or the GaP, such as aluminum or indium, it is possible to tailor the bandgap energy to achieve any wavelength in the 0.5 to 2.0 m range. With appropriate n and p doping, these materials can be used to form a simple pn diode that can function as an LED. Conduction-band electrons are generated by forward-biasing the pn junction of the diode. For a better confinement of the output optical power, a double heterostructure (DH) LED is used (Figure 22.6). In a DH-LED, the junction is formed by dissimilar semiconductor materials with different bandgap energy and refractive index values; the free charges are confined to recombining in a narrow, well-defined semiconductor layer, called the active layer. hc Eg = 1.24 m Eg(eV) (22.1)
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1. Dr. Heinz Willebrand and Baksheesh S. Ghuman, Free Spare Optics: Enabling Optical Connectivity in Today s Networks (City: Sams Publishing, 2002).
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quency bands will vary depending on the radio system. Any unplanned or unwanted RF signals generated by the transceiver device are designated as spurious.
Enter the Competitive Discussion
FIgure 5-3 Six different ways to achieve the energy distribution shown in Fig. 5-1b.
Pointers to Pointers: Multiple Indirection
Part I:
The data link layer defines how devices communicate across a physical layer medium. Ethernet is one of the more common layer 2 standards. Common devices that operate primarily at layer 2 include network interface cards (NICs) and switches. A NIC, commonly called an interface, provides a connection to a wired or wireless network, such as Ethernet. Unlike hubs, switches do not extend a single collision domain. Instead, they create multiple collision domains a separate collision domain off each port. All devices connected to a hub are in the same collision domain. Switches, therefore,
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CASE 92
shown in Figure 3-14, giving them immediate parity in the performance specs (see Table 3-2).
5.5.2 Class Diagram Notation of the Unified Modeling Language
DERMOSCOPIC CRITERIA
Digital Color Theory Put to Practice
A port in a discarding state is basically the grouping of 802.1d s blocking, listening, and disabled states. The following sections cover some of the enhancements included in RSTP.
Secure Gateway FIREWALL Web Interface FIREWALL
Plan IT services recovery and resumption. Plan and implement backup storage and protection. Establish procedures for conducting post-resumption reviews. These controls are discussed in this chapter and also in COBIT.
Idle threshold PTQ
The reason a cube is stored in a binary format, at least with Analysis Services 2005, is so the data can be retrieved extremely quickly. The binary format is designed for extremely fast retrieval of data. Not only is the format designed to be read quickly and return data as fast as possible, the compression means that reads need to access less disk, so that actual reading off the drive is faster than for uncompressed data. Part of what the cube can do as well is preaggregate the data. Cubes can store higher level summarizations of data, meaning that requests for summarized data can be returned very quickly. A cube that stores sales data at a daily level may contain aggregated data that stores sales at the month, quarter, and year level, for example. Being able to retrieve these aggregations means that the engine does not have to spend time calculating the values on the fly. This means that cubes have two major advantages over storing the same information in a relational database: first, they are built for extremely fast retrieval of data and second, the inclusion of preaggregated data means that queries for higher-level values is extremely fast. Cubes have other benefits as well, including the ability to perform complex queries that contain a variety of dimensions, also known as multidimensional queries. Cubes can also contain other features such as: Key Performance Indicators (KPIs), which will be discussed in detail in 4 Perspectives, a feature which helps narrow the scope of the cube for particular users Translations, so that a single cube can support multiple languages Actions, one feature of which allows a cube to tie to external programs or web sites Mining models, which support a wide variety of data mining techniques Cubes are clearly very powerful tools for performing analysis and for quickly responding to user queries. Designing and building the cube is therefore critical to the success of the overall project. Building the cube takes a number of steps and requires a number of decisions to be made. An overview of the process is described in the following section.
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