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Abutment types: Several alternates, including three alternate abutment heights, were considered: 1. Full height Placing the footing below the existing grade requires abutment and retaining wall heights of 38 feet. It leads to an uneconomical design of abutment and wingwalls. 2. Medium height Desirable height is 25 feet, which includes frost depth over top of spread footing. Footing can be placed on compacted ll of embankment. 3. Stub abutment It is possible to consider 12-foot high stub abutment. The disadvantage is that a 15-foot longer span is required on each side, due to a 2:1 slope of ll. 4. Integral abutments, MSE walls, and spill-through abutments Performance of integral abutments supporting curved girders and without piles is not fully known. Since spans are long, it is highly probable for the MSE wall to act as an abutment. Spill-through abutment supported on ll may lead to foundation movements.
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In the aftermath of the terrorist attacks of September 11, 2001, Congress and the Executive Branch have increased interest in information systems that can collect, compile, store, and share data about individuals. This data can be used to help identify and profile individuals or anticipate events or trends.1 Long before September 11, paper records and metal filing cabinets in government offices were rapidly giving way to electronic documents and computer databases. These changes bring greater efficiencies and capabilities. As a Department of Justice working paper explains, Today s technologies, when applied in a strategic fashion, hold the promise of reduced paperwork, quick information capturing, broad transmittal and access capabilities, improved information quality, and reduced 2 long-term costs.
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receives, at least until it is fully saturated. Because different colors absorb different amounts of infrared light, different colors will reflect different amounts of infrared light (surface texture will affect the amount of reflected light, and some materials allow infrared light to pass through). By placing an infrared detector pair near a surface, the infrared light from the infrared LED will reflect off the surface toward the infrared phototransistor. Because the amount of current that flows through the phototransistor is a function of the amount of infrared light it receives (reflected infrared light from the surface), this type of arrangement can be used to detect surface color changes. Figure 13-8 shows you a simple schematic of this type of sensor. This circuit was first demonstrated in a mini sumo by Bill Harrison of SineRobotics. When the detector pair is over the black portion of the sumo ring, the signal out from the sensor is high. This is due to the 10 k pull-up resistor and that the transistor is not conducting any current. When the sensor passes over the white sumo ring edge, the output signal from the detector pair will go low because the transistor is not conducting the current straight to ground. The potentiometer is used to adjust the intensity of the infrared LED, adjusting the sensitivity of the detector pair. The relative distances between the infrared LED, the phototransistor, and the surface will have an effect on the sensitivity of this circuit. The reflective sensors from Optek P/N OPB706A and QT Optoelectronics P/N QRD-1114 have both the infrared LED and infrared phototransistor built into a single small package. Both of these sensors operate well at distances from 0.04 to 0.20 inches from the surface.
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Part IV
Combiner / splitter C2 N2 C 2/ N 2 45 dB 20 dBmV 25 dBmV C 2 / NO 42 dB
Here, Derived2 does not override Who( ). Thus, when Who( ) is called on a Derived2 object, the Who( ) in Base is executed. In the case of a multilevel hierarchy, if a derived class does not override a virtual method, then, while moving up the hierarchy, the first override of the method that is encountered is the one executed. For example:
The SortedDictionary<TKey, TValue> class stores key/value pairs and is similar to Dictionary<TKey, TValue> except that it is sorted by key. SortedDictionary<TKey, TValue> implements IDictionary, IDictionary<TKey, TValue>, ICollection, ICollection<KeyValuePair<TKey, TValue>>, IEnumerable, and IEnumerable<KeyValuePair<TKey, TValue>>. SortedDictionary<TKey, TValue> provides the following constructors: public SortedDictionary( ) public SortedDictionary(IDictionary<TKey, TValue> dictionary) public SortedDictionary(IComparer<TKey> comparer) public SortedDictionary(IDictionary<TKey, TValue> dictionary, IComparer<TKey> comparer) The first constructor creates an empty dictionary. The second creates a dictionary that contains the same elements as those in dictionary. The third lets you specify the IComparer that the dictionary will use for sorting, and the fourth lets you initialize the dictionary and specify the IComparer. SortedDictionary<TKey, TValue> defines several methods. A sampling is shown in Table 25-18.
The required integration of Eq. (13.22) and Eq. (13.25) can now be performed exactly. The 2m + 1 coef cients can then be determined from the two equations, Eq. (13.23), and the 2m + 1 - 2l extremum conditions dP dP dP = = = 0, i = 1, , m - l. d a0 d ai d bi (13.28)
Figure 26.4 Three methods of computing BER. Method 1, used on early BER testers, simply defines the measurement time by the number of clock periods (106, 107, and so on). The accumulated error count then can be converted easily to BER; however, the measurement period varies according to the bit rate. Method 2 defines the measurement period in seconds, minutes, and hours, and a microprocessor is used to calculate BER from the accumulated error count and clock count in that period. The advantage is that the measurements are consistent with error-performance standards. Method 3 determines the measurement period as that required to accumulate sufficient errors for a statistically significant result, e.g., 100 errors. This may lead to very long measurements at low BER values.
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